From 605faf531025094b4a82976aa91d12b847b1bce9 Mon Sep 17 00:00:00 2001 From: zhutoutoutousan Date: Thu, 2 Jul 2026 15:03:43 +0200 Subject: [PATCH] Prepare source-only public release for develop. Add cluster audit pipeline, united EA updates, brochure generators, and publication hygiene (gitignore, MT5 path desensitization, pre-upload scan). Remove tracked reports, models, and binary artifacts from the repo. 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a/.env.example b/.env.example new file mode 100644 index 0000000..9cae18d --- /dev/null +++ b/.env.example @@ -0,0 +1,6 @@ +# Copy to .env (never commit .env) +# Optional: terminal data folder hash under %APPDATA%\MetaQuotes\Terminal\ +MT5_TERMINAL_DATA_ID= + +# Optional: full path to terminal64.exe when auto-detect fails +MT5_TERMINAL_EXE= diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..38600b9 --- /dev/null +++ b/.gitignore @@ -0,0 +1,117 @@ +# --- Secrets & local config --- +.env +.env.* +!.env.example +config.yaml +credentials.json +*.pem +*.key + +# --- MetaTrader / compiled --- +*.ex5 +*.ex4 +*.mqproj +compile.log + +# --- MT5 tester output --- +ReportTester*.html +ReportTester*.htm +report.html +report.png +**/test-balance.png +**/test-balance.jpg +*.ini +!**/example*.ini +**/mt5_reports/ +**/mt5_results.json + +# --- Generated charts & documents (regenerate locally) --- +*.pdf +*.png +*.jpg +*.jpeg +*.gif +*.webp +*.svg +equity_curve.png +drawdown.png +monthly_returns.png +exit_reasons.png +pnl_distribution.png + +# --- Brochure / LaTeX outputs --- +**/reports/figures/ +**/managed_account_brochure*.tex +**/ManagedAccount_Brochure*.pdf +**/UnitedEA_*Brochure*.pdf +**/代客理财_*.pdf + +# --- Generated backtest artifacts --- +trades.csv +backtest_report.json +**/reports/data/ +backtesting/MT5/cluster_audit/reports/** +!backtesting/MT5/cluster_audit/reports/.gitkeep +backtesting/MT5/optimization_results/ +lab/**/best_run/ + +# --- Optional: paper figure exports (regenerate from paper sources) --- +paper/figures/*.png +paper/figures/*.pdf + +# --- Logs --- +*.log +debug.log + +# --- Archives & bundles --- +*.zip +*.7z + +# --- Python --- +__pycache__/ +*.py[cod] +*$py.class +.Python +.venv/ +venv/ +env/ +*.egg-info/ +.pytest_cache/ +.mypy_cache/ +.ruff_cache/ + +# --- ML artifacts (retrain via ai/*/README) --- +**/models/*.onnx +**/models/*.pkl +**/models/*.h5 +**/models/*.pb +*.npy +*.npz + +# --- LaTeX build --- +*.aux +*.toc +*.out +*.fdb_latexmk +*.fls +*.synctex.gz +*.bbl +*.blg + +# --- IDE / OS --- +.idea/ +.vscode/ +*.swp +*~ +.DS_Store +Thumbs.db +desktop.ini + +# --- Personal tooling --- +fast_commit.ps1 + +# --- Optional: large chart exports (regenerate locally) --- +# Uncomment if you want a source-only repo: +# **/report.png +# **/drawdown.png +# **/monthly_returns.png diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 0000000..d49b55c --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,40 @@ +# Contributing + +## Scope + +This repo focuses on MetaTrader 5 Expert Advisors, Python backtesting, and ONNX ML integration. Keep PRs focused on one area (e.g. one strategy or one audit script). + +## Setup + +1. Clone the repo +2. Install Python deps per subdirectory (`backtesting/MT5/requirements.txt`, `ai/*/requirements.txt`) +3. Use your **local** MT5 terminal for tester automation — no account credentials in code + +## Code conventions + +- **MQL5**: match existing `Strategies/*.mqh` patterns; magic numbers via `MagicNumberHelpers.mqh` +- **Python**: minimal dependencies; reuse `set_parser.py`, `cluster_audit/united_mt5_runner.py` +- **Sets**: name files descriptively; document non-obvious params in strategy README + +## Do not submit + +- `.env`, API keys, account logins +- `ReportTester*.html`, `trades.csv`, `*.ex5` +- PDF/PNG/JPG charts and brochures (`*.pdf`, `report.png`, `test-balance.jpg`, …) +- `mt5_results.json`, `mt5_reports/`, `lab/**/best_run/` +- Generated audit JSON under `cluster_audit/reports/` +- Unrelated personal projects or book manuscripts + +Before first push, run: + +```bash +python scripts/prepare_public_upload.py +``` + +## Pull requests + +1. Describe strategy / audit change and test window used +2. Note whether results are from MT5 tester or Python replay +3. Confirm `git status` shows no ignored sensitive files staged + +See [`docs/STRUCTURE.md`](docs/STRUCTURE.md) for layout. diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..34732dd --- /dev/null +++ b/LICENSE @@ -0,0 +1,26 @@ +MIT License + +Copyright (c) 2026 Profitable Expert Advisor contributors + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. + +--- + +TRADING DISCLAIMER: Algorithmic trading involves substantial risk of loss. +Past backtest performance does not guarantee future results. Use at your own risk. diff --git a/README.md b/README.md index bf788ec..2e12a69 100644 --- a/README.md +++ b/README.md @@ -17,17 +17,36 @@ A comprehensive collection of algorithmic trading strategies for MetaTrader 5, i ``` profitable-expert-advisor/ -├── frontline/ # Production-ready trading strategies -│ ├── MQL5/ # MetaTrader 5 Expert Advisors -│ └── tradingview/ # TradingView Pine Script strategies -├── ai/ # ONNX machine learning models -├── back-pedal/ # Alternative/experimental strategies -├── backtesting/ # Python backtesting framework -│ ├── MT5/ # MT5 Python backtesting -│ └── own/ # Custom backtesting tools -└── paper/ # Research papers and simulations +├── frontline/ # Production MQL5 EAs +│ ├── cluster-latest/ # United multi-strategy cluster (main entry) +│ ├── units/ # Standalone per-symbol EAs +│ ├── units-trailing/ # Trailing-stop variants +│ ├── units-sharpshooter/ +│ ├── united_template/ # United EA templates +│ ├── cluster-NZDUSD/ # NZDUSD combo (R&D) +│ └── tradingview/ # Pine Script +├── backtesting/ # Python backtesting +│ └── MT5/ # MT5 API + cluster_audit pipeline +├── ai/ # ONNX / ML training & EAs +├── back-pedal/ # Archived strategies +├── lab/ # Experiments & scratch EAs +├── paper/ # Research paper & simulations +├── polymarket/ # Prediction-market scaffold +├── strategy-tester/ # Factor testing +└── docs/STRUCTURE.md # Full layout guide ``` +📖 **[Detailed structure guide](docs/STRUCTURE.md)** · **[Contributing](CONTRIBUTING.md)** · **[Security](SECURITY.md)** + +### Before pushing to GitHub + +- No `.env`, account logins, or `ReportTester*.html` in the commit +- No PDF/PNG/JPG exports — regenerate brochures and charts locally +- Copy `.env.example` → `.env` and set `MT5_TERMINAL_DATA_ID` for your MT5 data folder +- Run `python scripts/prepare_public_upload.py` to scan for leftover paths or secrets +- Regenerate ONNX models locally (`ai/README.md`) — binaries are gitignored +- Audit outputs stay under `backtesting/MT5/cluster_audit/reports/` (gitignored) + ## Frontline Strategies **Location**: [`frontline/`](frontline/) diff --git a/SECURITY.md b/SECURITY.md new file mode 100644 index 0000000..98af70f --- /dev/null +++ b/SECURITY.md @@ -0,0 +1,38 @@ +# Security Policy + +## Reporting a vulnerability + +If you discover a security issue in this repository, please **open a private GitHub security advisory** or contact the maintainer directly. Do not open a public issue for exploit details. + +## Sensitive data — do not commit + +- MT5 / broker **login numbers**, passwords, investor passwords +- API keys (`POLYMARKET_*`, broker REST keys, etc.) +- Private keys, wallet seeds, `.env` files +- Strategy Tester HTML reports (`ReportTester-*.html`) — may embed account & broker metadata +- Local machine paths (`C:\Users\...`, terminal hash folders) + +## Local-only configuration + +| Component | Config | +|-----------|--------| +| Polymarket | Copy `polymarket/.env.example` → `.env` (gitignored) | +| Self-coding agent | Copy `self-coding-agent/config.example.yaml` → `config.yaml` | +| MT5 automation | Uses **your** running MT5 terminal via `MetaTrader5` Python package — set `MT5_TERMINAL_DATA_ID` in `.env` (see `.env.example`) | + +## Before pushing to GitHub + +```bash +git status +# Ensure no .env, ReportTester*.html, *.ex5, trades.csv, cluster_audit/reports/ +``` + +Run a quick scan: + +```bash +rg -i "password|private_key|api_key|C:\\\\Users\\\\[^<]|D0E8209F" --glob '!*.md' . +``` + +## Trading risk disclaimer + +This software is for research and education. Live trading involves substantial risk of loss. The authors are not responsible for financial losses from use of this code. diff --git a/ai/README.md b/ai/README.md new file mode 100644 index 0000000..f3fd49f --- /dev/null +++ b/ai/README.md @@ -0,0 +1,36 @@ +# AI / Machine Learning + +ONNX-based price-action models for MetaTrader 5. + +## Projects + +| Directory | Symbol / TF | Notes | +|-----------|-------------|-------| +| [`xauusd_h1/`](xauusd_h1/) | XAUUSD H1 | Action classification EA | +| [`xauusd_m15/`](xauusd_m15/) | XAUUSD M15 | Shorter horizon | +| [`eurusd1h/`](eurusd1h/) | EURUSD H1 | | +| [`eurusd1min/`](eurusd1min/) | EURUSD M15 model | | +| [`btcusd1min/`](btcusd1min/) | BTCUSD M1 | | +| [`rsi-divergence/`](rsi-divergence/) | Divergence detector + EA | +| [`dummy/`](dummy/) | XAUUSD sandbox | Full train → ONNX → backtest walkthrough | + +## Quick start (sandbox) + +```bash +cd ai/dummy +pip install -r requirements.txt +python train_onnx_model.py +python quick_backtest.py +``` + +Trained artifacts (`models/*.onnx`, `*.pkl`) are **gitignored** — generate locally after clone. + +## MQL5 integration + +Each project includes an `.mq5` EA that loads ONNX via `#resource` or file path. 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E05frAWdHyG diff --git a/ai/eurusd1h/EURUSD_H1_ActionEA.mq5 b/ai/eurusd1h/EURUSD_H1_ActionEA.mq5 index e0ee1c3..2071060 100644 --- a/ai/eurusd1h/EURUSD_H1_ActionEA.mq5 +++ b/ai/eurusd1h/EURUSD_H1_ActionEA.mq5 @@ -1,46 +1,84 @@ //+------------------------------------------------------------------+ //| EURUSD_H1_ActionEA.mq5 | -//| ai/eurusd1h/main.py — 24 features, 5-class softmax | -//| Classes: 0=HOLD 1=BUY 2=SELL_SHORT 3=CLOSE_LONG 4=CLOSE_SHORT | -//| Entry: strict trio winner among p0,p1,p2 only. | -//| Exit: unique 5-class argmax != held side (1 long, 2 short). | -//| No SL / TP / ATR stops. Attach EURUSD H1. | +//| ai/eurusd1h/main.py — 24 features, 5-class softmax ONNX | +//| Train: python main.py → models/EURUSD_H1_action.onnx | +//| Attach EURUSD H1. MT5 optimize via run_mt5_tester.py | //+------------------------------------------------------------------+ #property copyright "Profitable EA Project" -#property version "1.00" -#property description "EURUSD H1 action ONNX; ordinal entry/exit; no fixed SL/TP" +#property version "1.20" +#property description "EURUSD H1 action ONNX; aggregate + prob/ATR exits (optimizable)" #include #resource "models\\EURUSD_H1_action.onnx" as uchar ExtModel[] #define FEAT_COUNT 24 +#define PRED_HIST_CAP 32 #define REL_EPS 1e-9 input group "Model" input int InpLookback = 48; +input int InpEntryMode = 1; +input double InpProbBuy = 0.18; +input double InpProbSell = 0.18; +input double InpMinBeatHold = 0.04; +input int InpExitMode = 1; // 0=fixed prob; 1/2=close must beat HOLD and stay-in-trade (2 legacy; old 2 vs-HOLD-only removed) +input double InpProbCloseL = 0.18; +input double InpProbCloseS = 0.18; +input double InpMinCloseBeatHold = 0.03; +input int InpMinBarsInTradeModelExit = 1; // min bars before model exit (0=off); pure mode uses 5-class winner +input bool InpPureRelative = false; // true: no prob cutoffs/edges — entry=trio strict winner, exit=5-class strict winner != side +input bool InpUseCloseHeadExit = true; // legacy only when InpPureRelative=false (CL/CS vs HOLD/stay; see InpExitMode) +input bool InpUseDirFlipExit = true; // legacy only when InpPureRelative=false (gap edges InpFlipExitEdge) +input double InpFlipExitEdge = 0.03; // legacy dir-flip min gap (ignored when InpPureRelative) +input int InpMinBarsAfterExit = 6; // after any close, wait this many flat bars before a new entry (0=off) +input int InpCooldownBarsAfterAdverse = 12; // extra flat-bar pause after adverse (ATR) stop; 0 = use only MinBarsAfterExit + +input group "Decision (aggregate + sample, lowers trade churn)" +input int InpSampleEveryNBars = 2; // run ONNX / refresh history every N new bars (>=1) +input int InpAggWindow = 4; // rolling mean over last K samples (>=1) +input int InpMinAggSamples = 2; // need this many samples in window before new entries +input int InpMinBarsBetweenEntries = 0; // after an open, wait this many flat bars before next entry (0=off) +input double InpMinDirEdge = 0.03; // legacy entry mode 1 only (ignored when InpPureRelative) +input bool InpRequireStayOverClose = true; // legacy entry (ignored when InpPureRelative) + +input group "Session (match Python SESSION_HOUR_OFFSET)" input int InpSessionHourOffset = 0; + +input group "Scaler override (empty = EURUSD_H1_action_meta.json)" input string InpFeatMinStr = ""; input string InpFeatMaxStr = ""; -input group "Timing" -input int InpMinBarsInTrade = 1; // model exit only after this many bars in position (0=off) - -input group "Trade" +input group "Risk" input double InpLotSize = 0.01; input int InpMagic = 902601; input int InpSlippage = 30; +input group "Hard exits (fixed ATR in price — optional)" +input bool InpUseAdverseAtrExit = true; // stop by adverse move in ATR multiples (off = model-only risk) +input bool InpUseProfitAtrExit = false; // take-profit in ATR multiples (needs InpTakeProfitATR > 0) +input double InpMaxAdverseATR = 3.5; +input double InpTakeProfitATR = 0.0; + double g_feat_min[FEAT_COUNT]; double g_feat_max[FEAT_COUNT]; CTrade trade; -long g_onnx = INVALID_HANDLE; +long g_onnx = INVALID_HANDLE; datetime g_last_bar = 0; -void InitDefaultScalerFromMeta() +double g_pred_hist[PRED_HIST_CAP][5]; +int g_pred_hist_len = 0; +double g_smooth[5] = {0.2, 0.2, 0.2, 0.2, 0.2}; +ulong g_bar_index = 0; +int g_entry_cooldown_bars = 0; +int g_agg_w = 4; +int g_sample_n = 2; +int g_min_agg_samples = 2; + +void InitDefaultScalerBounds() { - // EURUSD_H1_action_meta.json scaler_feature_min / max (train fit) + // MinMax bounds from ai/eurusd1h/models/EURUSD_H1_action_meta.json double def_min[FEAT_COUNT] = { 0.9539399743080139, 0.9559400081634521, @@ -104,12 +142,229 @@ bool ParseFeatCsv(const string s, double &arr[]) { if(StringLen(s) < 3) return false; string parts[]; - if(StringSplit(s, ',', parts) != FEAT_COUNT) return false; + int n = StringSplit(s, ',', parts); + if(n != FEAT_COUNT) return false; for(int i = 0; i < FEAT_COUNT; i++) arr[i] = StringToDouble(parts[i]); return true; } +int OnInit() +{ + InitDefaultScalerBounds(); + trade.SetExpertMagicNumber(InpMagic); + trade.SetDeviationInPoints(InpSlippage); + trade.SetTypeFilling(ORDER_FILLING_IOC); + + if(StringLen(InpFeatMinStr) > 0 && ParseFeatCsv(InpFeatMinStr, g_feat_min)) + Print("EURUSD Action EA: loaded InpFeatMinStr (24)"); + if(StringLen(InpFeatMaxStr) > 0 && ParseFeatCsv(InpFeatMaxStr, g_feat_max)) + Print("EURUSD Action EA: loaded InpFeatMaxStr (24)"); + + g_onnx = OnnxCreateFromBuffer(ExtModel, ONNX_DEBUG_LOGS); + if(g_onnx == INVALID_HANDLE) + { + Print("OnnxCreateFromBuffer failed ", GetLastError()); + return INIT_FAILED; + } + + const long inShape[] = {1, InpLookback, FEAT_COUNT}; + if(!OnnxSetInputShape(g_onnx, 0, inShape)) + { + Print("OnnxSetInputShape failed ", GetLastError()); + OnnxRelease(g_onnx); + return INIT_FAILED; + } + const long outShape[] = {1, 5}; + if(!OnnxSetOutputShape(g_onnx, 0, outShape)) + { + Print("OnnxSetOutputShape failed ", GetLastError()); + OnnxRelease(g_onnx); + return INIT_FAILED; + } + + g_agg_w = MathMax(1, MathMin(InpAggWindow, PRED_HIST_CAP)); + g_sample_n = MathMax(1, InpSampleEveryNBars); + g_min_agg_samples = MathMax(1, MathMin(InpMinAggSamples, g_agg_w)); + g_pred_hist_len = 0; + g_bar_index = 0; + g_entry_cooldown_bars = 0; + for(int k = 0; k < 5; k++) + g_smooth[k] = 0.2; + + const bool has_atr = InpUseAdverseAtrExit || (InpUseProfitAtrExit && InpTakeProfitATR > 0.0); + const bool has_model_exit = InpPureRelative || InpUseCloseHeadExit || InpUseDirFlipExit; + if(!has_atr && !has_model_exit) + Print("EURUSD_H1_ActionEA: WARNING — no exit path enabled (enable InpPureRelative and/or legacy exits / ATR)"); + + Print("EURUSD_H1_ActionEA: ONNX OK. Chart TF=", EnumToString(PERIOD_CURRENT), "; Lookback=", InpLookback, + " sampleEvery=", g_sample_n, " aggWindow=", g_agg_w, " minAggSamples=", g_min_agg_samples, + " pureRelative=", InpPureRelative, + " entryCooldownBars=", InpMinBarsBetweenEntries, " minDirEdge=", InpMinDirEdge, + " stayOverClose=", InpRequireStayOverClose, + " exitMode=", InpExitMode, " minBarsInTradeModelExit=", InpMinBarsInTradeModelExit, + " closeHeadExit=", InpUseCloseHeadExit, " dirFlipExit=", InpUseDirFlipExit, " flipExitEdge=", InpFlipExitEdge, + " minBarsAfterExit=", InpMinBarsAfterExit, " cooldownAfterAdverse=", InpCooldownBarsAfterAdverse, + " useAdverseATR=", InpUseAdverseAtrExit, " useProfitATR=", InpUseProfitAtrExit, + " maxAdverseATR=", InpMaxAdverseATR, " takeProfitATR=", InpTakeProfitATR); + return INIT_SUCCEEDED; +} + +void OnDeinit(const int r) +{ + if(g_onnx != INVALID_HANDLE) OnnxRelease(g_onnx); +} + +double AtrNow() +{ + double b[]; + ArraySetAsSeries(b, true); + int h = iATR(_Symbol, PERIOD_CURRENT, 14); + if(h == INVALID_HANDLE) return 0; + if(CopyBuffer(h, 0, 0, 2, b) < 1) { IndicatorRelease(h); return 0; } + double v = b[0]; + IndicatorRelease(h); + return v; +} + +bool AdverseExit(const long type, const double open_price) +{ + if(!InpUseAdverseAtrExit || InpMaxAdverseATR <= 0.0) + return false; + double atr = AtrNow(); + if(atr <= 0) return false; + double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + if(type == POSITION_TYPE_BUY) + { + double adv = (open_price - bid) / atr; + return adv >= InpMaxAdverseATR; + } + double adv = (ask - open_price) / atr; + return adv >= InpMaxAdverseATR; +} + +bool ProfitExit(const long type, const double open_price) +{ + if(!InpUseProfitAtrExit || InpTakeProfitATR <= 0.0) + return false; + double atr = AtrNow(); + if(atr <= 0.0) return false; + double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + if(type == POSITION_TYPE_BUY) + return (bid - open_price) >= InpTakeProfitATR * atr; + return (open_price - ask) >= InpTakeProfitATR * atr; +} + +bool ModelCloseLong(const double p0, const double p1, const double p3) +{ + if(InpExitMode == 0) + return (p3 >= InpProbCloseL); + // Modes 1/2 (and default): close-long must beat HOLD and stay-long (BUY). Old mode-2 "vs HOLD only" fired almost every bar on softmax. + return (p3 > p0 + InpMinCloseBeatHold && p3 > p1); +} + +bool ModelCloseShort(const double p0, const double p2, const double p4) +{ + if(InpExitMode == 0) + return (p4 >= InpProbCloseS); + return (p4 > p0 + InpMinCloseBeatHold && p4 > p2); +} + +bool ModelDirFlipExitLong(const double p0, const double p1, const double p2) +{ + if(!InpUseDirFlipExit) + return false; + const double e = MathMax(0.0, InpFlipExitEdge); + return (p2 > p1 + e && p2 > p0 + InpMinBeatHold); +} + +bool ModelDirFlipExitShort(const double p0, const double p1, const double p2) +{ + if(!InpUseDirFlipExit) + return false; + const double e = MathMax(0.0, InpFlipExitEdge); + return (p1 > p2 + e && p1 > p0 + InpMinBeatHold); +} + +int TrioStrictWinner012(const double p0, const double p1, const double p2) +{ + if(p0 > p1 + REL_EPS && p0 > p2 + REL_EPS) + return 0; + if(p1 > p0 + REL_EPS && p1 > p2 + REL_EPS) + return 1; + if(p2 > p0 + REL_EPS && p2 > p1 + REL_EPS) + return 2; + return -1; +} + +int FiveStrictWinner01234(const double p0, const double p1, const double p2, const double p3, const double p4) +{ + const double p[5] = {p0, p1, p2, p3, p4}; + int best = 0; + for(int k = 1; k < 5; k++) + if(p[k] > p[best]) + best = k; + const double m = p[best]; + int cnt = 0; + for(int k = 0; k < 5; k++) + if(p[k] + REL_EPS >= m) + cnt++; + if(cnt != 1) + return -1; + return best; +} + +int PositionBarsInTrade() +{ + if(!PositionSelect(_Symbol)) + return 0; + const datetime tOpen = (datetime)PositionGetInteger(POSITION_TIME); + const int sh = iBarShift(_Symbol, PERIOD_CURRENT, tOpen, false); + if(sh < 0) + return 9999; + return sh + 1; +} + +void ApplyExitCooldown(const bool adverse_stop) +{ + int b = MathMax(0, InpMinBarsAfterExit); + if(adverse_stop) + b = MathMax(b, MathMax(0, InpCooldownBarsAfterAdverse)); + if(b > 0) + g_entry_cooldown_bars = MathMax(g_entry_cooldown_bars, b); +} + +void PushPrediction(const double p0, const double p1, const double p2, const double p3, const double p4, const int maxKeep) +{ + for(int i = PRED_HIST_CAP - 1; i > 0; i--) + for(int k = 0; k < 5; k++) + g_pred_hist[i][k] = g_pred_hist[i - 1][k]; + g_pred_hist[0][0] = p0; + g_pred_hist[0][1] = p1; + g_pred_hist[0][2] = p2; + g_pred_hist[0][3] = p3; + g_pred_hist[0][4] = p4; + int cap = MathMax(1, MathMin(maxKeep, PRED_HIST_CAP)); + g_pred_hist_len = MathMin(g_pred_hist_len + 1, cap); +} + +void RecomputeSmooth(const int aggWindow) +{ + int w = MathMax(1, MathMin(aggWindow, PRED_HIST_CAP)); + int n = MathMin(w, g_pred_hist_len); + if(n < 1) + return; + for(int k = 0; k < 5; k++) + { + double s = 0.0; + for(int i = 0; i < n; i++) + s += g_pred_hist[i][k]; + g_smooth[k] = s / (double)n; + } +} + void ScaleFeatures(const float &raw[], float &out[]) { for(int f = 0; f < FEAT_COUNT; f++) @@ -192,9 +447,9 @@ bool PrepareMatrix(matrixf &M) double rv7 = rsi7[i]; double rv21 = rsi21[i]; - double spr = (r0 - rv7) / 50.0; - if(spr > 1.0) spr = 1.0; - if(spr < -1.0) spr = -1.0; + double spread = (r0 - rv7) / 50.0; + if(spread > 1.0) spread = 1.0; + if(spread < -1.0) spread = -1.0; double vel = (r0 - r1) / 25.0; double acc = ((r0 - r1) - (r1 - r2)) / 25.0; double dist_mid = MathAbs(r0 - 50.0) / 50.0; @@ -226,7 +481,7 @@ bool PrepareMatrix(matrixf &M) raw[12] = (float)(vma > 0 ? (double)vol[i] / vma : 1.0); raw[13] = (float)(rv7 / 100.0); raw[14] = (float)(rv21 / 100.0); - raw[15] = (float)spr; + raw[15] = (float)spread; raw[16] = (float)vel; raw[17] = (float)acc; raw[18] = (float)dist_mid; @@ -244,143 +499,163 @@ bool PrepareMatrix(matrixf &M) return true; } -int TrioStrictWinner012(const double p0, const double p1, const double p2) -{ - if(p0 > p1 + REL_EPS && p0 > p2 + REL_EPS) return 0; - if(p1 > p0 + REL_EPS && p1 > p2 + REL_EPS) return 1; - if(p2 > p0 + REL_EPS && p2 > p1 + REL_EPS) return 2; - return -1; -} - -int FiveStrictWinner01234(const double p0, const double p1, const double p2, const double p3, const double p4) -{ - const double p[5] = {p0, p1, p2, p3, p4}; - int best = 0; - for(int k = 1; k < 5; k++) - if(p[k] > p[best]) - best = k; - const double m = p[best]; - int cnt = 0; - for(int k = 0; k < 5; k++) - if(p[k] + REL_EPS >= m) - cnt++; - if(cnt != 1) - return -1; - return best; -} - -bool SelectOurPosition() -{ - if(!PositionSelect(_Symbol)) - return false; - if((long)PositionGetInteger(POSITION_MAGIC) != InpMagic) - return false; - return true; -} - -int PositionBarsInTrade() -{ - if(!SelectOurPosition()) - return 0; - const datetime tOpen = (datetime)PositionGetInteger(POSITION_TIME); - const int sh = iBarShift(_Symbol, PERIOD_CURRENT, tOpen, false); - if(sh < 0) - return 9999; - return sh + 1; -} - -int OnInit() -{ - InitDefaultScalerFromMeta(); - trade.SetExpertMagicNumber(InpMagic); - trade.SetDeviationInPoints(InpSlippage); - trade.SetTypeFilling(ORDER_FILLING_IOC); - - if(StringLen(InpFeatMinStr) > 0 && ParseFeatCsv(InpFeatMinStr, g_feat_min)) - Print("EURUSD Action EA: loaded InpFeatMinStr"); - if(StringLen(InpFeatMaxStr) > 0 && ParseFeatCsv(InpFeatMaxStr, g_feat_max)) - Print("EURUSD Action EA: loaded InpFeatMaxStr"); - - g_onnx = OnnxCreateFromBuffer(ExtModel, ONNX_DEBUG_LOGS); - if(g_onnx == INVALID_HANDLE) - { - Print("OnnxCreateFromBuffer failed ", GetLastError()); - return INIT_FAILED; - } - const long inShape[] = {1, InpLookback, FEAT_COUNT}; - if(!OnnxSetInputShape(g_onnx, 0, inShape)) - { - Print("OnnxSetInputShape failed ", GetLastError()); - OnnxRelease(g_onnx); - return INIT_FAILED; - } - const long outShape[] = {1, 5}; - if(!OnnxSetOutputShape(g_onnx, 0, outShape)) - { - Print("OnnxSetOutputShape failed ", GetLastError()); - OnnxRelease(g_onnx); - return INIT_FAILED; - } - - if(_Period != PERIOD_H1) - Print("EURUSD_H1_ActionEA: chart period is ", EnumToString((ENUM_TIMEFRAMES)_Period), - " — training is H1; mismatch may hurt."); - - Print("EURUSD_H1_ActionEA: ONNX OK. Ordinal entry/exit, no SL/TP. Lookback=", InpLookback); - return INIT_SUCCEEDED; -} - -void OnDeinit(const int r) -{ - if(g_onnx != INVALID_HANDLE) - OnnxRelease(g_onnx); -} - void OnTick() { datetime t = iTime(_Symbol, PERIOD_CURRENT, 0); - if(t == g_last_bar) - return; + if(t == g_last_bar) return; g_last_bar = t; - matrixf Min; - if(!PrepareMatrix(Min)) + const bool had_pos = PositionSelect(_Symbol); + const bool flat = !had_pos; + if(flat && g_entry_cooldown_bars > 0) + g_entry_cooldown_bars--; + + g_bar_index++; + const bool do_sample = (g_sample_n < 2) || ((g_bar_index % (ulong)g_sample_n) == 0); + bool fresh_predict = false; + + if(do_sample) { - Print("EURUSD Action EA: PrepareMatrix failed"); - return; + matrixf Min; + if(!PrepareMatrix(Min)) + { + Print("EURUSD Action EA: PrepareMatrix failed"); + if(!had_pos) + return; + } + else + { + vectorf out; + out.Resize(5); + if(!OnnxRun(g_onnx, ONNX_NO_CONVERSION, Min, out)) + { + Print("OnnxRun failed ", GetLastError()); + if(!had_pos) + return; + } + else + { + PushPrediction(out[0], out[1], out[2], out[3], out[4], g_agg_w); + RecomputeSmooth(g_agg_w); + fresh_predict = true; + } + } } - vectorf out; - out.Resize(5); - if(!OnnxRun(g_onnx, ONNX_NO_CONVERSION, Min, out)) + + const double p0 = g_smooth[0]; + const double p1 = g_smooth[1]; + const double p2 = g_smooth[2]; + const double p3 = g_smooth[3]; + const double p4 = g_smooth[4]; + + if(flat) { - Print("OnnxRun failed ", GetLastError()); + if(!do_sample || !fresh_predict) + return; + if(g_pred_hist_len < g_min_agg_samples) + return; + if(g_entry_cooldown_bars > 0) + return; + + if(InpEntryMode == 1) + { + if(InpPureRelative) + { + const int w3 = TrioStrictWinner012(p0, p1, p2); + if(w3 == 1) + { + if(trade.Buy(InpLotSize, _Symbol, 0, 0, 0, "EURUSD act BUY")) + g_entry_cooldown_bars = MathMax(0, InpMinBarsBetweenEntries); + } + else if(w3 == 2) + { + if(trade.Sell(InpLotSize, _Symbol, 0, 0, 0, "EURUSD act SELL")) + g_entry_cooldown_bars = MathMax(0, InpMinBarsBetweenEntries); + } + } + else + { + double dir = MathMax(p1, p2); + if(dir <= p0 + InpMinBeatHold) + return; + const double edge = MathMax(0.0, InpMinDirEdge); + const bool stay_ok_buy = (!InpRequireStayOverClose) || (p1 > p3); + const bool stay_ok_sell = (!InpRequireStayOverClose) || (p2 > p4); + if(p1 >= p2 && p1 > p0 + InpMinBeatHold && (p1 - p2) >= edge && stay_ok_buy) + { + if(trade.Buy(InpLotSize, _Symbol, 0, 0, 0, "EURUSD act BUY")) + g_entry_cooldown_bars = MathMax(0, InpMinBarsBetweenEntries); + } + else if(p2 > p1 && p2 > p0 + InpMinBeatHold && (p2 - p1) >= edge && stay_ok_sell) + { + if(trade.Sell(InpLotSize, _Symbol, 0, 0, 0, "EURUSD act SELL")) + g_entry_cooldown_bars = MathMax(0, InpMinBarsBetweenEntries); + } + } + } + else + { + if(p1 >= InpProbBuy && p1 >= p2) + { + if(trade.Buy(InpLotSize, _Symbol, 0, 0, 0, "EURUSD act BUY")) + g_entry_cooldown_bars = MathMax(0, InpMinBarsBetweenEntries); + } + else if(p2 >= InpProbSell && p2 > p1) + { + if(trade.Sell(InpLotSize, _Symbol, 0, 0, 0, "EURUSD act SELL")) + g_entry_cooldown_bars = MathMax(0, InpMinBarsBetweenEntries); + } + } return; } - const double p0 = out[0], p1 = out[1], p2 = out[2], p3 = out[3], p4 = out[4]; - - if(!SelectOurPosition()) + long typ = (long)PositionGetInteger(POSITION_TYPE); + double opn = PositionGetDouble(POSITION_PRICE_OPEN); + if(AdverseExit(typ, opn)) { - const int w3 = TrioStrictWinner012(p0, p1, p2); - if(w3 == 1) - trade.Buy(InpLotSize, _Symbol, 0, 0, 0, "EURUSD act BUY"); - else if(w3 == 2) - trade.Sell(InpLotSize, _Symbol, 0, 0, 0, "EURUSD act SELL"); + if(trade.PositionClose(_Symbol)) + ApplyExitCooldown(true); + return; + } + if(ProfitExit(typ, opn)) + { + if(trade.PositionClose(_Symbol)) + ApplyExitCooldown(false); return; } - const bool allow = (InpMinBarsInTrade <= 0) || (PositionBarsInTrade() >= InpMinBarsInTrade); - if(!allow) - return; - - const int w5 = FiveStrictWinner01234(p0, p1, p2, p3, p4); - const long typ = (long)PositionGetInteger(POSITION_TYPE); - bool close_it = false; - if(typ == POSITION_TYPE_BUY) - close_it = (w5 != -1 && w5 != 1); - else if(typ == POSITION_TYPE_SELL) - close_it = (w5 != -1 && w5 != 2); - - if(close_it) - trade.PositionClose(_Symbol); + const int bars_in = PositionBarsInTrade(); + const bool allow_model_exit = (InpMinBarsInTradeModelExit <= 0) || (bars_in >= InpMinBarsInTradeModelExit); + if(allow_model_exit) + { + bool want_close = false; + if(InpPureRelative) + { + const int w5 = FiveStrictWinner01234(p0, p1, p2, p3, p4); + if(typ == POSITION_TYPE_BUY) + want_close = (w5 != -1 && w5 != 1); + else + want_close = (w5 != -1 && w5 != 2); + } + else + { + if(typ == POSITION_TYPE_BUY) + { + const bool head = InpUseCloseHeadExit && ModelCloseLong(p0, p1, p3); + const bool flip = ModelDirFlipExitLong(p0, p1, p2); + want_close = (head || flip); + } + else + { + const bool head = InpUseCloseHeadExit && ModelCloseShort(p0, p2, p4); + const bool flip = ModelDirFlipExitShort(p0, p1, p2); + want_close = (head || flip); + } + } + if(want_close) + { + if(trade.PositionClose(_Symbol)) + ApplyExitCooldown(false); + } + } } diff --git a/ai/eurusd1h/EURUSD_H1_ActionEA.set b/ai/eurusd1h/EURUSD_H1_ActionEA.set new file mode 100644 index 0000000..cb391c9 --- /dev/null +++ b/ai/eurusd1h/EURUSD_H1_ActionEA.set @@ -0,0 +1,31 @@ +; EURUSD H1 Action EA — default backtest (legacy prob + ATR stop) +InpLookback=48 +InpEntryMode=1 +InpProbBuy=0.18 +InpProbSell=0.18 +InpMinBeatHold=0.04 +InpExitMode=2 +InpProbCloseL=0.18 +InpProbCloseS=0.18 +InpMinCloseBeatHold=0.03 +InpMinBarsInTradeModelExit=2 +InpPureRelative=false +InpUseCloseHeadExit=true +InpUseDirFlipExit=true +InpFlipExitEdge=0.03 +InpMinBarsAfterExit=4 +InpCooldownBarsAfterAdverse=8 +InpSampleEveryNBars=2 +InpAggWindow=4 +InpMinAggSamples=2 +InpMinBarsBetweenEntries=2 +InpMinDirEdge=0.03 +InpRequireStayOverClose=true +InpSessionHourOffset=0 +InpLotSize=0.10 +InpMagic=902601 +InpSlippage=30 +InpUseAdverseAtrExit=true +InpUseProfitAtrExit=false +InpMaxAdverseATR=2.5 +InpTakeProfitATR=0.0 diff --git a/ai/eurusd1h/EURUSD_H1_ActionEA_optimize.set b/ai/eurusd1h/EURUSD_H1_ActionEA_optimize.set new file mode 100644 index 0000000..4b45402 --- /dev/null +++ b/ai/eurusd1h/EURUSD_H1_ActionEA_optimize.set @@ -0,0 +1,31 @@ +; EURUSD H1 Action EA — genetic optimization +InpLookback=48||48||1||48||N +InpEntryMode=1||0||1||1||Y +InpProbBuy=0.18||0.14||0.02||0.30||Y +InpProbSell=0.18||0.14||0.02||0.30||Y +InpMinBeatHold=0.04||0.0||0.01||0.12||Y +InpExitMode=2||0||1||2||Y +InpProbCloseL=0.18||0.12||0.02||0.30||Y +InpProbCloseS=0.18||0.12||0.02||0.30||Y +InpMinCloseBeatHold=0.03||0.0||0.01||0.10||Y +InpMinBarsInTradeModelExit=2||0||1||8||Y +InpPureRelative=false||false||0||true||Y +InpUseCloseHeadExit=true||false||0||true||Y +InpUseDirFlipExit=true||false||0||true||Y +InpFlipExitEdge=0.03||0.01||0.01||0.08||Y +InpMinBarsAfterExit=4||0||2||12||Y +InpCooldownBarsAfterAdverse=8||0||4||24||Y +InpSampleEveryNBars=2||1||1||4||Y +InpAggWindow=4||2||1||8||Y +InpMinAggSamples=2||1||1||4||Y 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{ "mode": "chronological_tail_fraction", "val_fraction": 0.12, - "train_sequences": 87914, - "val_sequences": 11989 + "train_sequences": 20267, + "val_sequences": 2764 }, "clustering": "KMeans n=12 on forward returns (1,2,4,8,16); train-only fit", "scaler_feature_min": [ - 0.9539399743080139, - 0.9559400081634521, - 0.9536200165748596, - 0.9538999795913696, - 9.999999974752427e-07, - 0.07019035518169403, - -0.02143237181007862, - -0.028110405430197716, - 0.0002704667276702821, - -0.02017582766711712, - 1.0, - 0.0004555500054266304, - 0.0002461568801663816, - 0.022001149132847786, - 0.11231997609138489, - -0.5339273810386658, - -1.623793125152588, - -1.837566614151001, - 6.83732741890708e-06, + 0.9591299891471863, + 0.9670900106430054, + 0.9535899758338928, + 0.9593700170516968, + 0.00010299999848939478, + 0.10443684458732605, + -0.04120740666985512, + -0.04531921073794365, + 0.0003194698365405202, + -0.025094643235206604, + 1.0000925064086914, + 0.0006479999865405262, + 0.017702626064419746, + 0.02270212210714817, + 0.1845751404762268, + -0.4544973373413086, + -1.7025094032287598, + -1.832268238067627, + 1.076605258276686e-05, 0.0, 0.0, 0.0, @@ -76,25 +76,25 @@ 0.0 ], "scaler_feature_max": [ - 1.493149995803833, - 1.4938499927520752, - 1.4904999732971191, - 1.493190050125122, - 0.06699500232934952, - 0.9350273013114929, - 0.028008731082081795, - 0.03147505968809128, - 0.009249407798051834, - 0.01742853783071041, - 1.0232577323913574, - 0.02111775055527687, - 7.801275253295898, - 0.9864169955253601, - 0.8837512731552124, - 0.49708572030067444, - 1.8055412769317627, - 1.927569031715393, - 0.8700546026229858, + 1.3932499885559082, + 1.399340033531189, + 1.3910000324249268, + 1.3933900594711304, + 0.5568050146102905, + 0.9161010384559631, + 0.05199148878455162, + 0.08236432075500488, + 0.018198959529399872, + 0.03056110255420208, + 1.047353744506836, + 0.2869023084640503, + 10.783438682556152, + 0.9746928811073303, + 0.8693897128105164, + 0.4820457994937897, + 1.3869965076446533, + 1.7234584093093872, + 0.8322020173072815, 1.0, 1.0, 1.0, @@ -102,32 +102,32 @@ 1.0 ], "scaler_scale": [ - 1.854564905166626, - 1.8590470552444458, - 1.8626137971878052, - 1.8542896509170532, - 14.926709175109863, - 1.1562873125076294, - 20.226085662841797, - 16.782615661621094, - 111.3717041015625, - 26.5926570892334, - 42.99645233154297, - 48.39755630493164, - 0.12818820774555206, - 1.03689706325531, - 1.296291708946228, - 0.969919741153717, - 0.2916017770767212, - 0.2655946612358093, - 1.1493622064590454, + 2.3035106658935547, + 2.3134758472442627, + 2.286184310913086, + 2.3040411472320557, + 1.7962931394577026, + 1.2320365905761719, + 10.729741096496582, + 7.8318634033203125, + 55.93000793457031, + 17.96759605407715, + 21.15898895263672, + 3.4933969974517822, + 0.09288728982210159, + 1.0504302978515625, + 1.4602493047714233, + 1.0677565336227417, + 0.32367634773254395, + 0.281236469745636, + 1.2016469240188599, 1.0, 1.0, 1.0, 1.0, 1.0 ], - "tail_val_accuracy": 0.2594878673553467, - "tail_val_loss": 1.5548540353775024, + "tail_val_accuracy": 0.23371924459934235, + "tail_val_loss": 1.5593042373657227, "ea_note": "Copy ai/yt/US500_H1_ArticleEA.mq5 pattern: #resource ONNX + paste scaler from meta." } \ No newline at end of file diff --git a/ai/eurusd1h/models/EURUSD_H1_action_scaler.pkl b/ai/eurusd1h/models/EURUSD_H1_action_scaler.pkl deleted file mode 100644 index 1dccb6e1eab1286a1a04f15dad7e415527cb3959..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 964 zcmajeZAcSg902gG&6lZZA(f?+^(7-3D83-w?e836IF;z-gNR9QQo`hv#?y|MOI< zTf0??KojHn>sE^77%j_DEN3@UJWn&_TB4K`NF+w((@Z|;yksV=6o*>SsTy<(C5d~> zC{l266v2^9IfaZ0qtcB;wb{Hu$W#5NY`6YG-?!|6-Z6d2+Ue}WkM!B^3@Tk@ z_Z{&4YJ>JXCyeE_>O$A*b@@kIK%uDK@gR8{QEl@l#1d`U??+o=x02&!L>@mO;Vz$4 zQsk2imI&!%tH#F`*-*mGY zx|jtW{e4Aueq7ZVEcEt1fYA7BO#DYerwLHiCBThD0Y0V((3{~-Taq5&^UWRJp`0l% zGkh=eeNLO#|Es>wbD2+~Ycl)KdN6hP6n?WKToT4dBvaaqlwzGs-);zgZIzJD-Ez`& zOoGaE2|OSA;7g(euTvZG-^F%#$W3DFGYWjH=@4cdypJWU*20O6S6I~Zm8{XaDsbZ_ z2&rAyt;YX^)}AGpdQ-BaD1LoF5*f%z;8^cwd8vs2r$+$e{C-Q zBSygKgjh@yb_7?{_hEyEb}anaO4g#U0^C*S0RMX%GAfI*)|S~UemBcLV)Jei6%@zQ Rc1Aw+$=Y;nGIE%-{{R&;df@;7 diff --git a/ai/eurusd1h/run_mt5_tester.py b/ai/eurusd1h/run_mt5_tester.py new file mode 100644 index 0000000..4b5e090 --- /dev/null +++ b/ai/eurusd1h/run_mt5_tester.py @@ -0,0 +1,266 @@ +""" +Launch MT5 Strategy Tester for EURUSD H1 Action ONNX EA. + +Usage: + python run_mt5_tester.py backtest + python run_mt5_tester.py optimize + python run_mt5_tester.py backtest --from 2020.01.01 --to 2026.01.01 +""" + +from __future__ import annotations + +import argparse +import json +import re +import shutil +import subprocess +import sys +import time +from pathlib import Path + +import MetaTrader5 as mt5 + +LAB = Path(__file__).resolve().parent +EA_SRC = LAB / "EURUSD_H1_ActionEA.mq5" +MODEL_SRC = LAB / "models" / "EURUSD_H1_action.onnx" +DEFAULT_SET = LAB / "EURUSD_H1_ActionEA.set" +OPT_SET = LAB / "EURUSD_H1_ActionEA_optimize.set" + +LABELS = { + "profit_factor": ("Profit Factor", "盈利因子"), + "net_profit": ("Total Net Profit", "总净盈利"), + "total_trades": ("Total Trades", "交易总计"), + "sharpe": ("Sharpe Ratio", "夏普比率"), + "equity_dd": ("Equity Drawdown Maximal", "最大回撤"), +} + + +def read_text(path: Path) -> str: + text = path.read_text(encoding="utf-16", errors="ignore") + if not text.strip(): + text = path.read_text(encoding="utf-8", errors="ignore") + return text + + +def grab_metric(text: str, key: str) -> str | None: + for label in LABELS[key]: + for pat in ( + rf">{re.escape(label)}\s*]*>(?:)?([^<]+)", + rf">{re.escape(label)}:\s*]*>(?:)?([^<]+)", + ): + m = re.search(pat, text, re.I) + if m: + return m.group(1).strip() + return None + + +def parse_report(data: Path, report: str) -> dict: + xml_path = data / f"{report}.xml" + if xml_path.exists(): + text = xml_path.read_text(encoding="utf-8", errors="ignore") + m = re.search( + r"\s*]*>]*>Pass.*?\s*(.*?)", + text, + re.S, + ) + if m: + cells = re.findall(r'([^<]+)', m.group(1)) + if len(cells) >= 10: + return { + "ready": True, + "report": str(xml_path), + "net_profit": float(cells[2]), + "profit_factor": float(cells[4]), + "sharpe": float(cells[6]), + "max_drawdown": f"{cells[8]}%", + "total_trades": int(float(cells[9])), + } + for path in sorted(data.glob(f"**/{report}*.htm*"), key=lambda p: p.stat().st_mtime, reverse=True): + text = read_text(path) + pf = grab_metric(text, "profit_factor") + profit = grab_metric(text, "net_profit") + trades = grab_metric(text, "total_trades") + sharpe = grab_metric(text, "sharpe") + dd = grab_metric(text, "equity_dd") + if pf or profit or trades: + return { + "profit_factor": float(pf) if pf else None, + "net_profit": _num(profit), + "total_trades": int(float(trades)) if trades and trades[0].isdigit() else None, + "sharpe": float(sharpe) if sharpe else None, + "max_drawdown": dd, + "report": str(path), + "ready": True, + } + return {"ready": False} + + +def _num(s: str | None) -> float | None: + if not s: + return None + s = s.replace(" ", "").replace(",", "") + if s.endswith("%"): + return float(s[:-1]) + return float(s) + + +def mt5_context() -> dict: + if not mt5.initialize(): + raise RuntimeError(f"MT5 init failed: {mt5.last_error()}") + info = mt5.terminal_info() + acc = mt5.account_info() + ctx = { + "data": Path(info.data_path), + "mt5_path": Path(info.path), + "login": acc.login if acc else 0, + "server": acc.server if acc else "", + } + mt5.shutdown() + return ctx + + +def deploy_ea(data: Path, mt5_path: Path) -> Path: + if not MODEL_SRC.exists(): + raise FileNotFoundError( + f"Missing ONNX: {MODEL_SRC}\nRun: cd ai/eurusd1h && python main.py" + ) + dst_dir = data / "MQL5" / "Experts" / "ai" / "eurusd1h" + models_dir = dst_dir / "models" + models_dir.mkdir(parents=True, exist_ok=True) + shutil.copy2(MODEL_SRC, models_dir / "EURUSD_H1_action.onnx") + dst = dst_dir / "EURUSD_H1_ActionEA.mq5" + shutil.copy2(EA_SRC, dst) + log = dst_dir / "compile.log" + subprocess.run( + [str(mt5_path / "metaeditor64.exe"), f"/compile:{dst}", f"/log:{log}"], + timeout=180, + capture_output=True, + ) + time.sleep(3) + ex5 = dst_dir / "EURUSD_H1_ActionEA.ex5" + if not ex5.exists(): + tail = log.read_text(encoding="utf-8", errors="ignore")[-2500:] if log.exists() else "" + raise RuntimeError(f"Compile failed:\n{dst}\n{tail}") + pub = data / "MQL5" / "Experts" / "EURUSD_H1_ActionEA.ex5" + shutil.copy2(ex5, pub) + return pub + + +def copy_set_to_tester(data: Path, set_path: Path, set_name: str) -> None: + profiles = data / "MQL5" / "Profiles" / "Tester" + profiles.mkdir(parents=True, exist_ok=True) + shutil.copy2(set_path, profiles / set_name) + + +def build_ini(**kw) -> str: + return f"""[Common] +Login={kw['login']} +Server={kw['server']} +[Tester] +Expert=EURUSD_H1_ActionEA.ex5 +ExpertParameters={kw['set_name']} +Symbol={kw['symbol']} +Period={kw['period']} +Optimization={kw['optimization']} +Model=1 +Dates=1 +FromDate={kw['from_date']} +ToDate={kw['to_date']} +ForwardMode=0 +Deposit={kw['deposit']} +Currency=USD +Leverage={kw['leverage']} +ExecutionMode=0 +Report={kw['report']} +ReplaceReport=1 +ShutdownTerminal=1 +Visual={1 if kw['visual'] else 0} +""" + + +def run_tester(ctx: dict, **kw) -> dict: + data: Path = ctx["data"] + mt5_path: Path = ctx["mt5_path"] + deploy_ea(data, mt5_path) + copy_set_to_tester(data, kw["set_path"], kw["set_name"]) + ini = data / f"{kw['report']}.ini" + ini.write_text( + build_ini( + login=ctx["login"], + server=ctx["server"], + set_name=kw["set_name"], + report=kw["report"], + symbol=kw["symbol"], + period=kw["period"], + optimization=2 if kw["mode"] == "optimize" else 0, + from_date=kw["from_date"], + to_date=kw["to_date"], + deposit=kw["deposit"], + leverage=kw["leverage"], + visual=kw["visual"], + ), + encoding="utf-8", + ) + for ext in (".htm", ".html", ".xml"): + p = data / f"{kw['report']}{ext}" + if p.exists(): + p.unlink(missing_ok=True) + subprocess.run(["taskkill", "/IM", "terminal64.exe", "/F"], capture_output=True) + subprocess.run(["taskkill", "/IM", "metatester64.exe", "/F"], capture_output=True) + time.sleep(4) + print(f"Starting MT5 ({kw['mode']}) EA=EURUSD_H1_ActionEA {kw['symbol']} {kw['period']}") + print(f" Set: {kw['set_name']} {kw['from_date']} -> {kw['to_date']}") + t0 = time.time() + timeout = kw.get("timeout_sec", 7200 if kw["mode"] == "optimize" else 3600) + subprocess.run([str(mt5_path / "terminal64.exe"), f"/config:{ini}"], timeout=timeout) + metrics = parse_report(data, kw["report"]) + metrics["elapsed_sec"] = round(time.time() - t0, 1) + metrics["mode"] = kw["mode"] + return metrics + + +def main() -> None: + p = argparse.ArgumentParser() + p.add_argument("mode", choices=["backtest", "optimize"]) + p.add_argument("--symbol", default="EURUSD") + p.add_argument("--period", default="H1") + p.add_argument("--from", dest="from_date", default="2020.01.01") + p.add_argument("--to", dest="to_date", default="2026.01.01") + p.add_argument("--deposit", type=float, default=10000) + p.add_argument("--leverage", type=int, default=100) + p.add_argument("--visual", action="store_true") + p.add_argument("--set", dest="set_file", default="") + args = p.parse_args() + ctx = mt5_context() + set_path = Path(args.set_file) if args.set_file else (OPT_SET if args.mode == "optimize" else DEFAULT_SET) + report = f"EURUSD_H1_{args.symbol}_{args.mode}" + metrics = run_tester( + ctx, + mode=args.mode, + set_path=set_path, + set_name=set_path.name, + report=report, + symbol=args.symbol, + period=args.period, + from_date=args.from_date, + to_date=args.to_date, + deposit=args.deposit, + leverage=args.leverage, + visual=args.visual, + ) + out = LAB / "mt5_results.json" + with open(out, "w", encoding="utf-8") as f: + json.dump(metrics, f, indent=2) + if metrics.get("ready"): + print("\n=== MT5 Report ===") + for k in ("net_profit", "profit_factor", "total_trades", "sharpe", "max_drawdown", "elapsed_sec"): + if metrics.get(k) is not None: + print(f" {k}: {metrics[k]}") + print(f" report: {metrics.get('report')}") + print(f" saved: {out}") + else: + print("Report not found — check MT5 Tester journal.") + + +if __name__ == "__main__": + main() diff --git a/ai/eurusd1min/models/EURUSD_M15_model.onnx b/ai/eurusd1min/models/EURUSD_M15_model.onnx deleted file mode 100644 index a1e9cd24001b0a239fbd9d7511b03cc264bbb073..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 574278 zcmdS?c|2C#_dkxCGF*uwnIdU0C9`ntb(BWUrP3^+C?PaSg~}8fq>_qKN`pqiwbyCX zpn1?d&vR*>`<{yk9lCtp_v`Wa{rUVH8J+~?ei3Tg_Wi=%FfHd%F<~`bSr_Epn+dN(3DWM7UQM_c!l}}26*~=SXuaogihlA6&mar z5E2v^;^SngqgN+^q0*oVT2oblT#!%jq>j=Zr8>%FNGk}sRScrbC&SIxGe|sucC8N$ z8=_bjsw9vJ4b+m)kd_f#krt?X1qOtKdW;M7 z_x1=33ia@?>0rb6qm|mgs_J``8PM9p%43?ZpTCa>C&k-iTyS8RPk@Jmovn?dM^)-_ zb92-dWz-hEeL_M!tT=`HSEc$dWE#qeWjjd;N@N881BL$=GWiT!n_2C6%vx#G!0~=w zp8lNzy!j3Lf0Jn_D;6vzSSKyuT}hQu=42^QDUT`7={_MI9v$o}{`Lv*=KglDtN6R( 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b/back-pedal/archive/SimpleTrendlineGER40/SimpleTrendline.mq5 similarity index 100% rename from frontline/units/SimpleTrendlineGER40/SimpleTrendline.mq5 rename to back-pedal/archive/SimpleTrendlineGER40/SimpleTrendline.mq5 diff --git a/frontline/units/SimpleTrendlineGER40/SimpleTrendline_optimization.set b/back-pedal/archive/SimpleTrendlineGER40/SimpleTrendline_optimization.set similarity index 100% rename from frontline/units/SimpleTrendlineGER40/SimpleTrendline_optimization.set rename to back-pedal/archive/SimpleTrendlineGER40/SimpleTrendline_optimization.set diff --git a/frontline/units/SimpleTrendlineXAUUSD/SimpleTrendline.mq5 b/back-pedal/archive/SimpleTrendlineXAUUSD/SimpleTrendline.mq5 similarity index 100% rename from frontline/units/SimpleTrendlineXAUUSD/SimpleTrendline.mq5 rename to back-pedal/archive/SimpleTrendlineXAUUSD/SimpleTrendline.mq5 diff --git a/frontline/units/SimpleTrendlineXAUUSD/SimpleTrendline_optimization.set b/back-pedal/archive/SimpleTrendlineXAUUSD/SimpleTrendline_optimization.set similarity index 100% rename from frontline/units/SimpleTrendlineXAUUSD/SimpleTrendline_optimization.set rename to back-pedal/archive/SimpleTrendlineXAUUSD/SimpleTrendline_optimization.set diff --git a/backtesting/MT5/cluster_audit/__init__.py b/backtesting/MT5/cluster_audit/__init__.py new file mode 100644 index 0000000..3e862e4 --- /dev/null +++ b/backtesting/MT5/cluster_audit/__init__.py @@ -0,0 +1 @@ +# Cluster audit package diff --git a/backtesting/MT5/cluster_audit/backtest_core.py b/backtesting/MT5/cluster_audit/backtest_core.py new file mode 100644 index 0000000..c36edc0 --- /dev/null +++ b/backtesting/MT5/cluster_audit/backtest_core.py @@ -0,0 +1,327 @@ +"""Shared backtest primitives — fills, costs, metrics, trade log.""" + +from __future__ import annotations + +from dataclasses import dataclass, field +from typing import Any + +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + + +@dataclass +class CostModel: + spread_points: float = 0.0 + slippage_points: float = 3.0 + commission_per_lot: float = 0.0 + + @classmethod + def for_symbol(cls, symbol: str, slippage: float = 3.0) -> "CostModel": + info = mt5.symbol_info(symbol) + spread = float(info.spread) if info else 0.0 + return cls(spread_points=spread, slippage_points=slippage) + + +@dataclass +class Trade: + side: str + open_time: Any + close_time: Any + open_price: float + close_price: float + volume: float + profit: float + bars_held: int = 0 + exit_reason: str = "" + + +@dataclass +class BacktestReport: + strategy_id: str + symbol: str + timeframe: str + period_label: str + net_profit: float + total_trades: int + win_rate: float + profit_factor: float + sharpe: float + max_drawdown_pct: float + avg_win: float + avg_loss: float + worst_trades: list[dict] + losing_trades: list[dict] + exit_reason_breakdown: dict[str, dict[str, float]] + monthly_returns: dict[str, float] + params: dict[str, Any] = field(default_factory=dict) + gross_profit: float = 0.0 + gross_loss: float = 0.0 + trades_list: list[Trade] = field(default_factory=list, repr=False) + equity_curve: pd.Series | None = field(default=None, repr=False) + + def to_dict(self) -> dict: + return { + "strategy_id": self.strategy_id, + "symbol": self.symbol, + "timeframe": self.timeframe, + "period": self.period_label, + "net_profit": self.net_profit, + "total_trades": self.total_trades, + "win_rate": self.win_rate, + "profit_factor": self.profit_factor, + "sharpe": self.sharpe, + "max_drawdown_pct": self.max_drawdown_pct, + "avg_win": self.avg_win, + "avg_loss": self.avg_loss, + "worst_trades": self.worst_trades, + "losing_trades": self.losing_trades, + "exit_reason_breakdown": self.exit_reason_breakdown, + "monthly_returns": self.monthly_returns, + "params": self.params, + } + + +def resolve_symbol(requested: str) -> str: + key = requested.split("|")[0].strip() + if not key: + return requested + if mt5.symbol_info(key) is not None: + mt5.symbol_select(key, True) + return key + for suffix in (".NAS", ".NYSE", ".NYS", ".US"): + cand = key + suffix + if mt5.symbol_info(cand) is not None: + mt5.symbol_select(cand, True) + return cand + for sym in mt5.symbols_get() or []: + if sym.name.startswith(key + "."): + mt5.symbol_select(sym.name, True) + return sym.name + return key + + +def load_bars(symbol: str, tf: int, start, end, trace: bool = False) -> pd.DataFrame: + requested = symbol + symbol = resolve_symbol(symbol) + if trace and symbol != requested: + print(f" [load_bars] resolved {requested} -> {symbol}", flush=True) + if not mt5.symbol_select(symbol, True): + raise RuntimeError(f"Cannot select {symbol}") + rates = mt5.copy_rates_range(symbol, tf, start, end) + if rates is None or len(rates) < 50: + raise RuntimeError(f"No data for {symbol} ({mt5.last_error()})") + if trace: + print(f" [load_bars] {symbol} got {len(rates)} bars", flush=True) + df = pd.DataFrame(rates) + df["time"] = pd.to_datetime(df["time"], unit="s") + df.set_index("time", inplace=True) + return df + + +def calc_profit(symbol: str, side: str, volume: float, entry: float, exit_px: float) -> float: + ot = mt5.ORDER_TYPE_BUY if side == "BUY" else mt5.ORDER_TYPE_SELL + p = mt5.order_calc_profit(ot, symbol, volume, entry, exit_px) + return float(p) if p is not None else 0.0 + + +def _half_spread(point: float, spread_pts: float) -> float: + return spread_pts * point / 2.0 + + +def fill_price(mid: float, point: float, costs: CostModel, side: str, entry: bool) -> float: + hs = _half_spread(point, costs.spread_points) + slip = costs.slippage_points * point + if side == "BUY": + return mid + hs + slip if entry else mid - hs - slip + return mid - hs - slip if entry else mid + hs + slip + + +@dataclass +class SimState: + side: str | None = None + entry: float = 0.0 + entry_i: int = 0 + entry_time: object = None + sl: float = 0.0 + tp: float = 0.0 + bars_against: int = 0 + rsi_against: bool = False + + +def _bar_seconds(tf_label: str) -> int: + mapping = { + "M1": 60, "M5": 300, "M10": 600, "M12": 720, "M15": 900, "M20": 1200, + "M30": 1800, "H1": 3600, "H2": 7200, "H4": 14400, "D1": 86400, + } + return mapping.get(tf_label.upper(), 3600) + + +def run_single_position( + df: pd.DataFrame, + symbol: str, + point: float, + costs: CostModel, + lot: float, + strategy_id: str, + tf_label: str, + period_label: str, + params: dict, + initial_balance: float, + on_bar, + bar_seconds: int | None = None, +) -> BacktestReport: + """Single-position bar loop with mark-to-market equity each bar.""" + bar_sec = bar_seconds or _bar_seconds(tf_label) + trades: list[Trade] = [] + realized_pnl = 0.0 + equity: list[float] = [initial_balance] + st = SimState() + + def close(i: int, mid: float, reason: str) -> None: + nonlocal st, realized_pnl + if st.side is None: + return + exit_px = fill_price(mid, point, costs, st.side, entry=False) + commission = costs.commission_per_lot * lot * 2.0 + profit = calc_profit(symbol, st.side, lot, st.entry, exit_px) - commission + held = max(1, int((df.index[i] - pd.Timestamp(st.entry_time)).total_seconds() / bar_sec)) + trades.append( + Trade( + side=st.side, + open_time=st.entry_time, + close_time=df.index[i], + open_price=st.entry, + close_price=exit_px, + volume=lot, + profit=profit, + bars_held=held, + exit_reason=reason, + ) + ) + realized_pnl += profit + st = SimState() + + def open_pos(i: int, side: str, mid: float) -> None: + nonlocal st + st.side = side + st.entry = fill_price(mid, point, costs, side, entry=True) + st.entry_i = i + st.entry_time = df.index[i] + + for i in range(1, len(df)): + on_bar(i, st, open_pos, close) + bal = initial_balance + realized_pnl + if st.side is not None: + mark = float(df["close"].iloc[i - 1]) + bal += calc_profit(symbol, st.side, lot, st.entry, mark) + equity.append(bal) + + if st.side is not None: + close(len(df) - 1, float(df["close"].iloc[-1]), "eod") + + eq = pd.Series(equity[: len(df)], index=df.index[: len(equity)]) + report = build_report(strategy_id, symbol, tf_label, period_label, trades, eq, initial_balance, params) + report.equity_curve = eq + return report + + +def build_report( + strategy_id: str, + symbol: str, + timeframe: str, + period_label: str, + trades: list[Trade], + equity_curve: pd.Series, + initial_balance: float, + params: dict, +) -> BacktestReport: + if not trades: + return BacktestReport( + strategy_id=strategy_id, + symbol=symbol, + timeframe=timeframe, + period_label=period_label, + net_profit=0.0, + total_trades=0, + win_rate=0.0, + profit_factor=0.0, + sharpe=0.0, + max_drawdown_pct=0.0, + avg_win=0.0, + avg_loss=0.0, + worst_trades=[], + losing_trades=[], + exit_reason_breakdown={}, + monthly_returns={}, + params=params, + ) + + profits = [t.profit for t in trades] + wins = [p for p in profits if p >= 0] + losses = [abs(p) for p in profits if p < 0] + gp = sum(wins) + gl = sum(losses) + net = sum(profits) + + rets = equity_curve.pct_change().dropna() + sharpe = 0.0 + if len(rets) > 10 and rets.std() > 0: + bars_per_year = 252 * 24 if "H1" in timeframe else 252 * 24 * 6 + scale = np.sqrt(bars_per_year / max(len(rets), 1)) + sharpe = float(rets.mean() / rets.std() * scale) + + peak = equity_curve.cummax() + dd = (peak - equity_curve) / peak.replace(0, np.nan) + max_dd = float(dd.max()) if len(dd) else 0.0 + + monthly = equity_curve.resample("ME").last().pct_change().dropna() + monthly_dict = {str(k.date()): float(v) for k, v in monthly.items()} + + def trade_row(t: Trade) -> dict: + return { + "side": t.side, + "open_time": str(t.open_time), + "close_time": str(t.close_time), + "open_price": t.open_price, + "close_price": t.close_price, + "profit": t.profit, + "bars_held": t.bars_held, + "exit_reason": t.exit_reason, + } + + sorted_trades = sorted(trades, key=lambda t: t.profit) + losers = [trade_row(t) for t in sorted_trades if t.profit < 0] + breakdown: dict[str, dict[str, float]] = {} + for t in trades: + bucket = breakdown.setdefault(t.exit_reason or "?", {"count": 0, "pnl": 0.0, "wins": 0, "losses": 0}) + bucket["count"] += 1 + bucket["pnl"] += t.profit + if t.profit >= 0: + bucket["wins"] += 1 + else: + bucket["losses"] += 1 + + return BacktestReport( + strategy_id=strategy_id, + symbol=symbol, + timeframe=timeframe, + period_label=period_label, + net_profit=net, + total_trades=len(trades), + win_rate=(len(wins) / len(trades) * 100.0) if trades else 0.0, + profit_factor=(gp / gl) if gl > 0 else (999.0 if gp > 0 else 0.0), + sharpe=sharpe, + max_drawdown_pct=max_dd * 100.0, + avg_win=(gp / len(wins)) if wins else 0.0, + avg_loss=(gl / len(losses)) if losses else 0.0, + worst_trades=[trade_row(t) for t in sorted_trades[:5]], + losing_trades=losers[:30], + exit_reason_breakdown=breakdown, + monthly_returns=monthly_dict, + params=params, + gross_profit=gp, + gross_loss=gl, + trades_list=list(trades), + equity_curve=equity_curve.copy(), + ) diff --git a/backtesting/MT5/cluster_audit/diagnose.py b/backtesting/MT5/cluster_audit/diagnose.py new file mode 100644 index 0000000..36ad734 --- /dev/null +++ b/backtesting/MT5/cluster_audit/diagnose.py @@ -0,0 +1,145 @@ +"""Per-strategy problem diagnosis and loss tracing.""" + +from __future__ import annotations + +from typing import Any + +from .backtest_core import BacktestReport +from .trace_log import TraceLog + +ENGINE_FIX_HINTS = { + "rsi_crossover": "trend_strong closes positions in strong trends; high ema_slope/distance thresholds block entries.", + "rsi_scalp": "rsi_against exits + spread costs dominate; check OB/OS vs target gap and bars_to_wait.", + "rsi_asian": "session window or extreme RSI levels may block entries; verify broker server hour offset.", + "mean_reversion": "ADX proxy may differ from MQL iADX; min_ema_distance_pts can block all entries on volatile symbols.", + "ema_slope": "needs EMA-cross exit + profit trail even when use_trailing_stop=False; weekly ADX filter missing.", + "darvas": "box must be narrow (box_deviation); volume MA filter not yet ported.", + "rsi_secret": "zone re-entry in chop; add divergence confirm or widen min_bars_between_trades.", +} + + +def diagnose(spec: dict, baseline: BacktestReport, optimized: BacktestReport | None, log: TraceLog) -> dict[str, Any]: + sid = spec["id"] + engine = spec["engine"] + issues: list[str] = [] + actions: list[str] = [] + + if baseline.total_trades == 0: + issues.append("ZERO_TRADES") + actions.append("Engine logic or params too strict - compare Python port to MQL defaults.") + elif baseline.total_trades < 10: + issues.append("LOW_TRADE_COUNT") + actions.append("Relax entry filters or widen optimization ranges.") + + if baseline.net_profit < 0: + issues.append("NEGATIVE_PNL") + if baseline.sharpe < 0: + issues.append("NEGATIVE_SHARPE") + if baseline.max_drawdown_pct > 25: + issues.append("HIGH_DRAWDOWN") + + br = baseline.exit_reason_breakdown + loss_reasons = sorted( + ((k, v["pnl"]) for k, v in br.items() if v["pnl"] < 0), + key=lambda x: x[1], + ) + if loss_reasons: + top = loss_reasons[0] + issues.append(f"TOP_LOSS_REASON:{top[0]}") + if top[0] == "rsi_against": + actions.append("Widen RSI targets or increase bars_to_wait before rsi_against exit.") + elif top[0] == "trend_strong": + actions.append("Raise ema_slope/distance thresholds or only block new entries (MQL also force-closes).") + elif top[0] == "trail": + actions.append("Trail too tight - widen trail_distance_pts or raise activation.") + elif top[0] == "sl": + actions.append("Stop loss too tight for symbol volatility - scale SL by ATR.") + elif top[0] == "hours" or top[0] == "session": + actions.append("Trading hours/session filter closing positions — align to broker server time.") + elif top[0] == "adx_escape": + actions.append("ADX escape fires too early — raise adx_escape threshold.") + + hint = ENGINE_FIX_HINTS.get(engine, "") + if hint: + actions.append(hint) + + if optimized and optimized is not baseline: + from .scoring import DEFAULT_TRADES_PER_DAY, acceptance, min_trades_for_period, period_days, trades_per_day + from .strategy_registry import PERIODS + + start, end = PERIODS.get("2021-2026", ("2021-01-01", "2026-06-01")) + days = period_days(start, end) + min_t = min_trades_for_period(days, DEFAULT_TRADES_PER_DAY) + opt_tpd = trades_per_day(optimized, days) + base_tpd = trades_per_day(baseline, days) + if opt_tpd < DEFAULT_TRADES_PER_DAY: + issues.append("LOW_TRADES_PER_DAY") + actions.append( + f"Only {opt_tpd:.2f} trades/day (need >={DEFAULT_TRADES_PER_DAY:.1f}); " + "use lower TF, tighter SL/TP, or relax entry filters." + ) + if optimized.total_trades < min_t and baseline.total_trades >= min_t: + issues.append("OPT_COLLAPSED_TRADES") + actions.append( + f"Optimization cut trades {baseline.total_trades}->{optimized.total_trades} " + f"({base_tpd:.2f}->{opt_tpd:.2f}/day)." + ) + opt_ok, opt_issues = acceptance(optimized, days, DEFAULT_TRADES_PER_DAY) + if not opt_ok and optimized.net_profit > baseline.net_profit: + issues.append("OPT_PROFIT_BUT_FAILS_GATES") + actions.append("Higher net but fails gates: " + "; ".join(opt_issues[:4])) + if optimized.sharpe > baseline.sharpe + 0.1: + issues.append("OPTIMIZATION_HELPED") + + log.banner(f"DIAGNOSIS: {sid}") + log.info(f"engine={engine} symbol={baseline.symbol} trades={baseline.total_trades}") + if issues: + log.warn("issues: " + ", ".join(issues)) + else: + log.info("no critical issues flagged") + + trace_losses(baseline, log, label="baseline") + + if optimized and optimized is not baseline: + log.info( + f"optimized: net=${optimized.net_profit:.0f} sharpe={optimized.sharpe:.2f} " + f"trades={optimized.total_trades}" + ) + if optimized.net_profit < baseline.net_profit: + trace_losses(optimized, log, label="optimized", max_rows=10) + + if actions: + log.info("suggested actions:") + for a in actions[:6]: + log.debug(f" - {a}") + + return { + "issues": issues, + "actions": actions, + "top_loss_reasons": loss_reasons[:5], + "exit_reason_breakdown": br, + } + + +def trace_losses(report: BacktestReport, log: TraceLog, label: str = "baseline", max_rows: int = 15) -> None: + if not report.losing_trades: + log.debug(f"{label}: no losing trades") + return + + log.info(f"{label} loss trace ({len(report.losing_trades)} losers logged, showing worst {max_rows}):") + for i, t in enumerate(report.losing_trades[:max_rows], 1): + log.info( + f" #{i:02d} {t['side']:4} ${t['profit']:8.2f} {t['exit_reason']:12} " + f"bars={t['bars_held']:4} {t['open_time']} -> {t['close_time']}" + ) + + if report.exit_reason_breakdown: + log.debug(f"{label} exit reason PnL:") + for reason, stats in sorted( + report.exit_reason_breakdown.items(), + key=lambda x: x[1]["pnl"], + ): + log.debug( + f" {reason:14} count={int(stats['count']):4} " + f"wins={int(stats['wins']):3} losses={int(stats['losses']):3} pnl=${stats['pnl']:.0f}" + ) diff --git a/backtesting/MT5/cluster_audit/engines.py b/backtesting/MT5/cluster_audit/engines.py new file mode 100644 index 0000000..b0008ef --- /dev/null +++ b/backtesting/MT5/cluster_audit/engines.py @@ -0,0 +1,882 @@ +"""Python ports of SuperEA engines for cluster audit.""" + +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any + +import numpy as np +import pandas as pd + +from indicator_utils import calculate_adx, calculate_atr, calculate_dmi, calculate_ema, calculate_rsi + +from .backtest_core import ( + BacktestReport, + CostModel, + Trade, + build_report, + calc_profit, + fill_price, +) + + +@dataclass +class SimState: + side: str | None = None + entry: float = 0.0 + entry_i: int = 0 + entry_time: Any = None + sl: float = 0.0 + tp: float = 0.0 + bars_against: int = 0 + rsi_against: bool = False + + +def _run_single_position( + df: pd.DataFrame, + symbol: str, + point: float, + costs: CostModel, + lot: float, + strategy_id: str, + tf_label: str, + period_label: str, + params: dict, + initial_balance: float, + on_bar, +) -> BacktestReport: + trades: list[Trade] = [] + equity = [initial_balance] + st = SimState() + + def close(i: int, mid: float, reason: str) -> None: + nonlocal st + if st.side is None: + return + exit_px = fill_price(mid, point, costs, st.side, entry=False) + commission = costs.commission_per_lot * lot * 2 + profit = calc_profit(symbol, st.side, lot, st.entry, exit_px) - commission + trades.append( + Trade( + side=st.side, + open_time=st.entry_time, + close_time=df.index[i], + open_price=st.entry, + close_price=exit_px, + volume=lot, + profit=profit, + bars_held=i - st.entry_i, + exit_reason=reason, + ) + ) + equity.append(equity[-1] + profit) + st = SimState() + + def open_pos(i: int, side: str, mid: float) -> None: + nonlocal st + st.side = side + st.entry = fill_price(mid, point, costs, side, entry=True) + st.entry_i = i + st.entry_time = df.index[i] + st.sl = 0.0 + st.tp = 0.0 + st.bars_against = 0 + st.rsi_against = False + + for i in range(1, len(df)): + mid = float(df["open"].iloc[i]) + on_bar(i, st, open_pos, close) + if len(equity) == len(trades) + 1: + equity.append(equity[-1]) + + if st.side is not None: + close(len(df) - 1, float(df["close"].iloc[-1]), "eod") + + eq = pd.Series(equity[: len(df)], index=df.index[: len(equity)]) + return build_report(strategy_id, symbol, tf_label, period_label, trades, eq, initial_balance, params) + + +# --- RSI Scalping --- +def backtest_rsi_scalp( + df: pd.DataFrame, + symbol: str, + period_label: str, + strategy_id: str, + params: dict, + lot: float = 0.1, + costs: CostModel | None = None, +) -> BacktestReport: + info = __import__("MetaTrader5").symbol_info(symbol) + point = float(info.point) if info else 0.01 + costs = costs or CostModel.for_symbol(symbol) + rsi = calculate_rsi(df["close"], int(params["rsi_period"])).to_numpy() + atr = calculate_atr(df, int(params.get("reversal_atr_period", 14))).to_numpy() + trail_dist = params.get("trail_distance_pts", 0) * point + trail_act = (params.get("trail_activation_pts") or params.get("trail_distance_pts", 0)) * point + use_rsi_against = params.get("use_rsi_against_exit", True) + max_adv_atr = float(params.get("max_adverse_atr", 0)) + + def on_bar(i, st, open_pos, close): + if i < 3 or np.isnan(rsi[i - 1]): + return + sig, prev, two = rsi[i - 1], rsi[i - 2], rsi[i - 3] + mid = float(df["open"].iloc[i]) + hi, lo = float(df["high"].iloc[i]), float(df["low"].iloc[i]) + + if st.side is not None and params.get("use_reversal_escape"): + a = float(atr[i - 1]) if not np.isnan(atr[i - 1]) else 0.0 + if a > 0: + adv_mult = float(params.get("reversal_adverse_atr_mult", 1.5)) + rsi_vel = float(params.get("reversal_rsi_velocity", 8.0)) + need = int(params.get("reversal_signs_required", 2)) + signs = 0 + if st.side == "BUY": + if st.entry - lo >= adv_mult * a: + signs += 1 + if sig - prev >= rsi_vel: + signs += 1 + else: + if hi - st.entry >= adv_mult * a: + signs += 1 + if sig - prev >= rsi_vel: + signs += 1 + if signs >= need: + close(i, mid, "reversal_escape") + return + + if st.side is not None and params.get("use_trailing") and trail_dist > 0: + if st.side == "BUY": + bid = float(df["close"].iloc[i]) + if bid - st.entry > trail_act: + nsl = bid - trail_dist + if nsl > st.sl: + st.sl = nsl + if st.sl > 0 and lo <= st.sl: + close(i, st.sl, "trail") + return + else: + ask = float(df["close"].iloc[i]) + if st.entry - ask > trail_act: + nsl = ask + trail_dist + if st.sl == 0 or nsl < st.sl: + st.sl = nsl + if st.sl > 0 and hi >= st.sl: + close(i, st.sl, "trail") + return + + if st.side is not None and max_adv_atr > 0: + a = float(atr[i - 1]) if not np.isnan(atr[i - 1]) else 0.0 + if a > 0: + if st.side == "BUY" and (st.entry - lo) / a >= max_adv_atr: + close(i, mid, "adverse_atr") + return + if st.side == "SELL" and (hi - st.entry) / a >= max_adv_atr: + close(i, mid, "adverse_atr") + return + + if st.side == "BUY": + if use_rsi_against and sig < params["rsi_oversold"]: + st.bars_against = st.bars_against + 1 if st.rsi_against else 1 + st.rsi_against = True + if st.bars_against >= params["bars_to_wait"]: + close(i, mid, "rsi_against") + else: + st.rsi_against = False + st.bars_against = 0 + if sig >= params["rsi_target_buy"]: + close(i, mid, "target") + elif st.side == "SELL": + if use_rsi_against and sig > params["rsi_overbought"]: + st.bars_against = st.bars_against + 1 if st.rsi_against else 1 + st.rsi_against = True + if st.bars_against >= params["bars_to_wait"]: + close(i, mid, "rsi_against") + else: + st.rsi_against = False + st.bars_against = 0 + if sig <= params["rsi_target_sell"]: + close(i, mid, "target") + else: + if two <= params["rsi_oversold"] and prev > params["rsi_oversold"]: + open_pos(i, "BUY", mid) + elif two >= params["rsi_overbought"] and prev < params["rsi_overbought"]: + min_depth = float(params.get("min_ob_depth", 0)) + if two < params["rsi_overbought"] + min_depth: + pass + else: + skip_h = int(params.get("skip_short_hour_after", 24)) + if df.index[i].hour < skip_h: + open_pos(i, "SELL", mid) + + return _run_single_position( + df, symbol, point, costs, lot, strategy_id, params.get("tf", "H1"), + period_label, params, 10_000.0, on_bar, + ) + + +# --- RSI CrossOver --- +def _price_to_ema_pips(symbol: str, close: float, ema: float) -> float: + info = __import__("MetaTrader5").symbol_info(symbol) + if info is None: + return abs(close - ema) * 10.0 + point = float(info.point) + digits = int(info.digits) + pip_mult = 10.0 if digits in (3, 5) else 1.0 + pip_size = point * pip_mult if point > 0 else point + return abs(close - ema) / pip_size if pip_size > 0 else 0.0 + + +def backtest_rsi_crossover(df, symbol, period_label, strategy_id, params, lot=0.1, costs=None): + info = __import__("MetaTrader5").symbol_info(symbol) + point = float(info.point) if info else 0.01 + costs = costs or CostModel.for_symbol(symbol) + rsi = calculate_rsi(df["close"], int(params["rsi_period"])).to_numpy() + ema = calculate_ema(df["close"], int(params["ema_period"])).to_numpy() + trail = params.get("trailing_stop_pts", 0) * point + prev_rsi_state = 0.0 + last_trade_i = -10_000 + cooldown_bars = max(1, int(params.get("cooldown_seconds", 300) / 3600)) + use_trend_filter = params.get("use_trend_strength_filter", True) + + weekday_ok = { + 0: params.get("sunday", False), + 1: params.get("monday", False), + 2: params.get("tuesday", True), + 3: params.get("wednesday", True), + 4: params.get("thursday", True), + 5: params.get("friday", False), + 6: params.get("saturday", False), + } + + def hours_ok(ts) -> bool: + h = ts.hour + def in_win(begin: int, end: int) -> bool: + b, e = begin % 24, end % 24 + if b == e: + return False + if b < e: + return b <= h < e + return h >= b or h < e + return in_win(params.get("trading_hour_one_begin", 0), params.get("trading_hour_one_end", 22)) or in_win( + params.get("trading_hour_two_begin", 6), params.get("trading_hour_two_end", 19) + ) + + def on_bar(i, st, open_pos, close): + nonlocal prev_rsi_state, last_trade_i + if i < 3 or np.isnan(rsi[i - 1]) or np.isnan(ema[i - 1]): + return + ts = df.index[i] + if not weekday_ok.get(ts.weekday(), False) or not hours_ok(ts): + if st.side: + close(i, float(df["open"].iloc[i]), "hours") + return + + cur = rsi[i - 1] + if prev_rsi_state == 0.0: + prev_rsi_state = cur + return + + ema_slope = (ema[i - 1] - ema[i - 2]) * 100.0 + price_to_ema = abs((float(df["close"].iloc[i - 1]) - ema[i - 1]) * 10.0) + slope_th = float(params.get("ema_slope_threshold", 100)) + dist_th = float(params.get("ema_distance_threshold", 100)) + trend_strong = use_trend_filter and ( + (slope_th > 0 and abs(ema_slope) > slope_th) + or (dist_th > 0 and price_to_ema > dist_th) + ) + + mid = float(df["open"].iloc[i]) + if st.side == "BUY" and trail > 0: + bid = float(df["close"].iloc[i]) + if bid - st.entry > trail: + st.sl = max(st.sl, bid - trail) + if st.sl > 0 and float(df["low"].iloc[i]) <= st.sl: + close(i, st.sl, "trail") + prev_rsi_state = cur + return + if st.side == "SELL" and trail > 0: + ask = float(df["close"].iloc[i]) + if st.entry - ask > trail: + st.sl = ask + trail if st.sl == 0 else min(st.sl, ask + trail) + if st.sl > 0 and float(df["high"].iloc[i]) >= st.sl: + close(i, st.sl, "trail") + prev_rsi_state = cur + return + + if st.side == "BUY" and cur > params.get("exit_buy_rsi", 80): + close(i, mid, "exit_rsi") + elif st.side == "SELL" and cur < params.get("exit_sell_rsi", 20): + close(i, mid, "exit_rsi") + elif trend_strong and st.side: + close(i, mid, "trend_strong") + elif not st.side and not trend_strong and i - last_trade_i >= cooldown_bars: + ob = params.get("overbought_level", 70) + os = params.get("oversold_level", 30) + sell_spread = params.get("entry_rsi_sell_spread", 0) + buy_spread = params.get("entry_rsi_buy_spread", 0) + if prev_rsi_state >= ob and cur < ob - sell_spread: + open_pos(i, "SELL", mid) + last_trade_i = i + elif prev_rsi_state <= os and cur > os + buy_spread: + open_pos(i, "BUY", mid) + last_trade_i = i + prev_rsi_state = cur + + return _run_single_position( + df, symbol, point, costs, lot, strategy_id, "H1", period_label, params, 10_000.0, on_bar, + ) + + +# --- RSI Asian --- +def backtest_rsi_asian(df, symbol, period_label, strategy_id, params, lot=0.1, costs=None): + info = __import__("MetaTrader5").symbol_info(symbol) + point = float(info.point) if info else 0.01 + costs = costs or CostModel.for_symbol(symbol) + rsi = calculate_rsi(df["close"], int(params["rsi_period"])).to_numpy() + sess_start = params.get("asian_session_start", 0) + sess_end = params.get("asian_session_end", 8) + + def in_session(ts) -> bool: + return sess_start <= ts.hour < sess_end + + def on_bar(i, st, open_pos, close): + if i < 2 or np.isnan(rsi[i - 1]): + return + ts = df.index[i] + prev, cur = rsi[i - 2], rsi[i - 1] + mid = float(df["open"].iloc[i]) + + if st.side and params.get("close_outside_session") and not in_session(ts): + close(i, mid, "session") + return + if st.side and params.get("use_rsi_exit"): + exit_lvl = params.get("rsi_exit_level", 55) + if (prev < exit_lvl <= cur) or (prev > exit_lvl >= cur): + close(i, mid, "rsi_exit") + + if not in_session(ts): + return + if st.side: + return + if prev < params["overbought_level"] <= cur: + open_pos(i, "SELL", mid) + elif prev > params["oversold_level"] >= cur: + open_pos(i, "BUY", mid) + + return _run_single_position( + df, symbol, point, costs, lot, strategy_id, "M15", period_label, params, 10_000.0, on_bar, + ) + + +# --- Mean Reversion --- +def backtest_mean_reversion(df, symbol, period_label, strategy_id, params, lot=0.1, costs=None): + info = __import__("MetaTrader5").symbol_info(symbol) + point = float(info.point) if info else 0.01 + costs = costs or CostModel.for_symbol(symbol) + rsi = calculate_rsi(df["close"], int(params["rsi_period"])).to_numpy() + ema = calculate_ema(df["close"], int(params["ema_period"])).to_numpy() + adx = calculate_adx(df, int(params.get("adx_period", 14))).to_numpy() + + def on_bar(i, st, open_pos, close): + if i < max(params["ema_period"], 20) + 2: + return + if np.isnan(rsi[i - 1]) or np.isnan(ema[i - 1]) or np.isnan(adx[i - 1]): + return + mid = float(df["open"].iloc[i]) + cls = float(df["close"].iloc[i - 1]) + dist_buy = (ema[i - 1] - cls) / point + dist_sell = (cls - ema[i - 1]) / point + adx_v = float(adx[i - 1]) + + if st.side: + adx_now = float(adx[i - 1]) if not np.isnan(adx[i - 1]) else 0.0 + if adx_now >= params.get("adx_escape", 30): + close(i, mid, "adx_escape") + elif params.get("use_hard_sltp"): + if st.side == "BUY": + if cls <= st.entry - params.get("sl_points", 0) * point: + close(i, mid, "sl") + elif cls >= st.entry + params.get("tp_points", 0) * point: + close(i, mid, "tp") + else: + if cls >= st.entry + params.get("sl_points", 0) * point: + close(i, mid, "sl") + elif cls <= st.entry - params.get("tp_points", 0) * point: + close(i, mid, "tp") + return + + if adx_v <= 0 or adx_v >= params.get("adx_max_for_entry", 20): + return + use_cross = params.get("use_rsi_cross", True) + if use_cross: + buy_rsi = rsi[i - 2] > params["rsi_oversold"] >= rsi[i - 1] + sell_rsi = rsi[i - 2] < params["rsi_overbought"] <= rsi[i - 1] + else: + buy_rsi = rsi[i - 1] <= params["rsi_oversold"] + sell_rsi = rsi[i - 1] >= params["rsi_overbought"] + if buy_rsi and dist_buy >= params.get("min_ema_distance_pts", 0): + open_pos(i, "BUY", mid) + if params.get("use_hard_sltp"): + st.sl = st.entry - params.get("sl_points", 0) * point + st.tp = st.entry + params.get("tp_points", 0) * point + elif sell_rsi and dist_sell >= params.get("min_ema_distance_pts", 0): + open_pos(i, "SELL", mid) + if params.get("use_hard_sltp"): + st.sl = st.entry + params.get("sl_points", 0) * point + st.tp = st.entry - params.get("tp_points", 0) * point + + return _run_single_position( + df, symbol, point, costs, lot, strategy_id, "M15", period_label, params, 10_000.0, on_bar, + ) + + +# --- EMA Slope (monitor + crossover state machine, matches MQL) --- +def _weekly_dmi_lookup(df: pd.DataFrame, period: int, bar_shift: int) -> tuple[pd.Series, pd.Series, pd.Series]: + wdf = df.resample("W-FRI").agg({"high": "max", "low": "min", "close": "last"}).dropna() + dmi = calculate_dmi(wdf, period) + shift = max(0, bar_shift) + adx = dmi["adx"].shift(shift).reindex(df.index, method="ffill") + plus = dmi["plus_di"].shift(shift).reindex(df.index, method="ffill") + minus = dmi["minus_di"].shift(shift).reindex(df.index, method="ffill") + return adx, plus, minus + + +def backtest_ema_slope(df, symbol, period_label, strategy_id, params, lot=0.1, costs=None): + info = __import__("MetaTrader5").symbol_info(symbol) + point = float(info.point) if info else 0.01 + costs = costs or CostModel.for_symbol(symbol) + ema_period = int(params["ema_period"]) + ema = calculate_ema(df["close"], ema_period).to_numpy() + atr = calculate_atr(df, 14).to_numpy() + closes = df["close"].to_numpy() + opens = df["open"].to_numpy() + highs = df["high"].to_numpy() + lows = df["low"].to_numpy() + times = df.index + mult = 10.0 if ("XAU" in symbol or "BTC" in symbol) else 1.0 + + w_adx, w_plus, w_minus = _weekly_dmi_lookup( + df, int(params.get("weekly_adx_period", 28)), int(params.get("weekly_adx_bar_shift", 8)) + ) + + price_trigger_active = False + slope_trigger_active = False + monitor_active = False + monitor_start_i = -1 + trades_in_cross = 0 + last_close = 0.0 + last_ema = 0.0 + last_bar_time = None + + def weekly_ok(i: int, side: str) -> bool: + if not params.get("use_weekly_adx_filter", True): + return True + adx_v = float(w_adx.iloc[i - 1]) if i > 0 else np.nan + if np.isnan(adx_v) or adx_v < params.get("weekly_adx_min", 25): + return False + if not params.get("weekly_adx_use_direction", True): + return True + pdi = float(w_plus.iloc[i - 1]) + mdi = float(w_minus.iloc[i - 1]) + if side == "BUY": + return pdi > mdi + return mdi > pdi + + def on_bar(i, st, open_pos, close): + nonlocal price_trigger_active, slope_trigger_active, monitor_active, monitor_start_i + nonlocal trades_in_cross, last_close, last_ema, last_bar_time + if i < ema_period + 3 or np.isnan(ema[i - 1]) or np.isnan(ema[i - 2]): + return + + if params.get("use_bar_data", True): + ts = times[i] + if last_bar_time is not None and ts == last_bar_time: + return + last_bar_time = ts + + mid = float(opens[i]) + bar_close = float(closes[i - 1]) + ema_now = float(ema[i - 1]) + ema_prev = float(ema[i - 2]) + + if last_close != 0.0: + if (last_close <= last_ema and bar_close > ema_now) or (last_close >= last_ema and bar_close < ema_now): + trades_in_cross = 0 + last_close, last_ema = bar_close, ema_now + + price_dist = abs(bar_close - ema_now) / point / mult + if price_dist > params.get("price_threshold_pips", 100) and not price_trigger_active: + price_trigger_active = True + slope = (ema_now - ema_prev) / point / mult + if abs(slope) > params.get("slope_threshold_pips", 20) and not slope_trigger_active: + slope_trigger_active = True + + if price_trigger_active and slope_trigger_active and not monitor_active: + monitor_active = True + monitor_start_i = i + + tf_sec = 3600 + timeout_bars = int(params.get("monitor_timeout_sec", 340) / tf_sec) + if monitor_active and monitor_start_i >= 0 and (i - monitor_start_i) > timeout_bars: + monitor_active = False + price_trigger_active = False + slope_trigger_active = False + + if st.side: + bars_open = i - st.entry_i + bar_close_now = float(closes[i]) + a = float(atr[i - 1]) if not np.isnan(atr[i - 1]) else 0.0 + max_loss_atr = float(params.get("max_loss_atr", 2.0)) + if a > 0 and max_loss_atr > 0: + if st.side == "BUY" and float(lows[i]) <= st.entry - max_loss_atr * a: + close(i, st.entry - max_loss_atr * a, "atr_sl") + return + if st.side == "SELL" and float(highs[i]) >= st.entry + max_loss_atr * a: + close(i, st.entry + max_loss_atr * a, "atr_sl") + return + + trail_pips = params.get("trailing_stop_pips", 50) + trail_px = trail_pips * point * mult + bar_close_now = float(closes[i]) + in_profit = (bar_close_now > st.entry) if st.side == "BUY" else (st.entry > bar_close_now) + use_trail = params.get("use_trailing_stop", False) + trail_act = params.get("trailing_activation_pips", 0) + trail_ready = in_profit if trail_act <= 0 else ( + (bar_close_now - st.entry) / point / mult >= trail_act + if st.side == "BUY" + else (st.entry - bar_close_now) / point / mult >= trail_act + ) + if trail_pips > 0 and (use_trail or in_profit) and trail_ready: + if st.side == "BUY": + st.sl = max(st.sl, bar_close_now - trail_px) + if st.sl > 0 and float(lows[i]) <= st.sl: + close(i, st.sl, "trail") + return + else: + st.sl = bar_close_now + trail_px if st.sl <= 0 else min(st.sl, bar_close_now + trail_px) + if st.sl > 0 and float(highs[i]) >= st.sl: + close(i, st.sl, "trail") + return + + ema_exit = (st.side == "BUY" and bar_close_now < ema_now) or ( + st.side == "SELL" and bar_close_now > ema_now + ) + unrealized = calc_profit(symbol, st.side, lot, st.entry, bar_close_now) + if ema_exit and unrealized > 0: + close(i, mid, "ema_cross") + return + + if params.get("close_unprofitable_trades", True): + check_bars = int(params.get("profit_check_bars", 78)) + if bars_open >= check_bars: + unrealized = calc_profit(symbol, st.side, lot, st.entry, bar_close_now) + if unrealized <= 0: + close(i, mid, "unprofitable") + return + return + + if not monitor_active: + return + if trades_in_cross >= params.get("max_trades_per_crossover", 5): + return + + if bar_close > ema_now and weekly_ok(i, "BUY"): + open_pos(i, "BUY", mid) + trades_in_cross += 1 + monitor_active = False + price_trigger_active = False + slope_trigger_active = False + elif bar_close < ema_now and weekly_ok(i, "SELL"): + open_pos(i, "SELL", mid) + trades_in_cross += 1 + monitor_active = False + price_trigger_active = False + slope_trigger_active = False + + return _run_single_position( + df, symbol, point, costs, lot, strategy_id, "H1", period_label, params, 10_000.0, on_bar, + ) + + +# --- Darvas Box (matches MQL: narrow box + breakout + trend strength) --- +def backtest_darvas(df, symbol, period_label, strategy_id, params, lot=0.1, costs=None): + info = __import__("MetaTrader5").symbol_info(symbol) + point = float(info.point) if info else 0.01 + costs = costs or CostModel.for_symbol(symbol) + period = int(params.get("box_period", 165)) + box_dev = float(params.get("box_deviation", 30000)) + trend_thresh = float(params.get("trend_threshold", 4.94)) + ma_period = int(params.get("ma_period", 125)) + sl_pts = float(params.get("stop_loss_pts", 1665)) + tp_pts = float(params.get("take_profit_pts", 3685)) + vol_thresh = int(params.get("volume_threshold", 0)) + max_range = box_dev * point + + ma = calculate_ema(df["close"], ma_period).to_numpy() + highs = df["high"].to_numpy() + lows = df["low"].to_numpy() + opens = df["open"].to_numpy() + closes = df["close"].to_numpy() + vols = df["tick_volume"].to_numpy() if "tick_volume" in df.columns else np.zeros(len(df)) + + def on_bar(i, st, open_pos, close): + if i < period + ma_period + 2: + return + window_hi = float(np.max(highs[i - period : i])) + window_lo = float(np.min(lows[i - period : i])) + if (window_hi - window_lo) > max_range: + return + + mid = float(opens[i]) + bar_hi = float(highs[i]) + bar_lo = float(lows[i]) + ma_v = float(ma[i - 1]) + if np.isnan(ma_v): + return + + if st.side: + if st.side == "BUY": + if st.sl > 0 and bar_lo <= st.sl: + close(i, st.sl, "sl") + elif st.tp > 0 and bar_hi >= st.tp: + close(i, st.tp, "tp") + else: + if st.sl > 0 and bar_hi >= st.sl: + close(i, st.sl, "sl") + elif st.tp > 0 and bar_lo <= st.tp: + close(i, st.tp, "tp") + return + + if vols[i] <= vol_thresh: + return + prev_close = float(closes[i - 1]) + strength = abs(mid - ma_v) / point + break_up = bar_hi > window_hi or prev_close > window_hi + break_dn = bar_lo < window_lo or prev_close < window_lo + + if break_up and mid > ma_v and strength > trend_thresh: + open_pos(i, "BUY", mid) + st.sl = st.entry - sl_pts * point + st.tp = st.entry + tp_pts * point + elif break_dn and mid < ma_v and strength > trend_thresh: + open_pos(i, "SELL", mid) + st.sl = st.entry + sl_pts * point + st.tp = st.entry - tp_pts * point + + return _run_single_position( + df, symbol, point, costs, lot, strategy_id, "M15", period_label, params, 10_000.0, on_bar, + ) + + +# --- RSI Secret Sauce (simplified zone exit re-entry) --- +def backtest_rsi_secret(df, symbol, period_label, strategy_id, params, lot=0.1, costs=None): + info = __import__("MetaTrader5").symbol_info(symbol) + point = float(info.point) if info else 0.01 + costs = costs or CostModel.for_symbol(symbol) + rsi = calculate_rsi(df["close"], int(params["rsi_period"])).to_numpy() + atr = calculate_atr(df, int(params.get("atr_period", 14))).to_numpy() + last_trade_i = -999 + + def on_bar(i, st, open_pos, close): + nonlocal last_trade_i + if i < 30 or np.isnan(rsi[i - 1]) or np.isnan(atr[i - 1]): + return + mid = float(df["open"].iloc[i]) + cur, prev = rsi[i - 1], rsi[i - 2] + a = atr[i - 1] + + if st.side: + if st.side == "BUY": + sl = st.entry - params.get("stop_loss_atr", 2) * a + tp = st.entry + params.get("take_profit_atr", 4) * a + if float(df["low"].iloc[i]) <= sl: + close(i, sl, "sl") + elif float(df["high"].iloc[i]) >= tp: + close(i, tp, "tp") + else: + sl = st.entry + params.get("stop_loss_atr", 2) * a + tp = st.entry - params.get("take_profit_atr", 4) * a + if float(df["high"].iloc[i]) >= sl: + close(i, sl, "sl") + elif float(df["low"].iloc[i]) <= tp: + close(i, tp, "tp") + return + + if i - last_trade_i < params.get("min_bars_between_trades", 5): + return + ob, os = params["rsi_overbought"], params["rsi_oversold"] + if prev > ob and cur <= ob: + open_pos(i, "SELL", mid) + last_trade_i = i + elif prev < os and cur >= os: + open_pos(i, "BUY", mid) + last_trade_i = i + + return _run_single_position( + df, symbol, point, costs, lot, strategy_id, "M30", period_label, params, 10_000.0, on_bar, + ) + + +# --- Simple Trendline (pullback to MA-derived trendline) --- +def backtest_simple_trendline(df, symbol, period_label, strategy_id, params, lot=0.1, costs=None): + info = __import__("MetaTrader5").symbol_info(symbol) + point = float(info.point) if info else 0.01 + costs = costs or CostModel.for_symbol(symbol) + htf = params.get("higher_tf", "H4") + htf_map = {"M10": "10min", "M15": "15min", "H1": "1h", "H4": "4h"} + rule = htf_map.get(htf, "4h") + hdf = df.resample(rule).agg({"open": "first", "high": "max", "low": "min", "close": "last"}).dropna() + ma_period = int(params.get("ma_period", 65)) + ma = calculate_ema(hdf["close"], ma_period).to_numpy() + htimes = hdf.index.to_numpy() + hcloses = hdf["close"].to_numpy() + touch_tol = float(params.get("touch_tolerance_pts", 100)) * point + break_buf = float(params.get("break_buffer_pts", 80)) * point + + def line_at(t_model, t_query): + x = (t_query - t_model[0]).astype("timedelta64[s]").astype(float) + return t_model[2] * x + t_model[3] + + def on_bar(i, st, open_pos, close): + if i < 5: + return + ts = df.index[i] + # find 3 most recent HTF MA crosses before ts + hidx = int(np.searchsorted(htimes, ts, side="right")) - 1 + if hidx < ma_period + 5: + return + crosses_t, crosses_p = [], [] + for j in range(hidx, ma_period + 2, -1): + if j >= len(ma) - 1: + continue + d0 = hcloses[j] - ma[j] + d1 = hcloses[j + 1] - ma[j + 1] + if d0 == 0 or d1 == 0 or d0 * d1 < 0: + crosses_t.append(htimes[j]) + crosses_p.append(hcloses[j]) + if len(crosses_t) >= 3: + break + if len(crosses_t) < 3: + return + t0 = crosses_t[2] + xs = np.array([(t - t0).astype("timedelta64[s]").astype(float) for t in crosses_t[::-1]]) + ys = np.array(crosses_p[::-1]) + den = 3 * np.sum(xs ** 2) - np.sum(xs) ** 2 + if abs(den) < 1e-10: + return + a = (3 * np.sum(xs * ys) - np.sum(xs) * np.sum(ys)) / den + b = (np.sum(ys) - a * np.sum(xs)) / 3 + model = (t0, crosses_t, a, b) + t1 = df.index[i - 1] + line1 = a * (t1 - t0).astype("timedelta64[s]").astype(float) + b + mid = float(df["open"].iloc[i]) + hi = float(df["high"].iloc[i - 1]) + lo = float(df["low"].iloc[i - 1]) + cl1 = float(df["close"].iloc[i - 1]) + op1 = float(df["open"].iloc[i - 1]) + cl2 = float(df["close"].iloc[i - 2]) + t2 = df.index[i - 2] + line2 = a * (t2 - t0).astype("timedelta64[s]").astype(float) + b + + if st.side == "BUY" and cl1 < line1 - break_buf: + close(i, mid, "break") + return + if st.side == "SELL" and cl1 > line1 + break_buf: + close(i, mid, "break") + return + + if st.side: + return + if a > 0: + if lo <= line1 + touch_tol and cl1 > line1 and cl1 > op1 and cl2 >= line2 - touch_tol: + open_pos(i, "BUY", mid) + elif a < 0: + if hi >= line1 - touch_tol and cl1 < line1 and cl1 < op1 and cl2 <= line2 + touch_tol: + open_pos(i, "SELL", mid) + + return _run_single_position( + df, symbol, point, costs, lot, strategy_id, params.get("signal_tf", "H1"), + period_label, params, 10_000.0, on_bar, + ) + + +# --- USDJPY Asian range breakout (simplified market-fill) --- +def backtest_usdjpy_buster(df, symbol, period_label, strategy_id, params, lot=0.1, costs=None): + info = __import__("MetaTrader5").symbol_info(symbol) + point = float(info.point) if info else 0.001 + costs = costs or CostModel.for_symbol(symbol) + r_start = int(params.get("range_start_hour", 3)) + r_end = int(params.get("range_end_hour", 6)) + close_h = int(params.get("close_hour", 18)) + min_rng = float(params.get("min_range_pts", 15)) + buf = float(params.get("order_buffer_pts", 4.75)) * point + first_only = params.get("first_trade_only", False) + + day_state: dict = {} + + def on_bar(i, st, open_pos, close): + ts = df.index[i] + dk = ts.date().isoformat() + h = ts.hour + mid = float(df["open"].iloc[i]) + + if st.side and h >= close_h: + close(i, mid, "eod") + return + + if dk not in day_state: + day_state[dk] = {"hi": -np.inf, "lo": np.inf, "built": False, "trades": 0, "range_done": False} + + ds = day_state[dk] + if r_start <= h < r_end: + ds["hi"] = max(ds["hi"], float(df["high"].iloc[i])) + ds["lo"] = min(ds["lo"], float(df["low"].iloc[i])) + return + + if not ds["range_done"] and h >= r_end: + ds["range_done"] = True + if ds["hi"] > ds["lo"] and (ds["hi"] - ds["lo"]) / point >= min_rng: + ds["built"] = True + + if not ds["built"] or st.side: + return + max_tr = 1 if first_only else 2 + if ds["trades"] >= max_tr: + return + + hi = ds["hi"] + buf + lo = ds["lo"] - buf + bar_hi = float(df["high"].iloc[i]) + bar_lo = float(df["low"].iloc[i]) + + if params.get("allow_long", True) and bar_hi >= hi: + open_pos(i, "BUY", mid) + st.sl = ds["lo"] + ds["trades"] += 1 + elif params.get("allow_short", True) and bar_lo <= lo: + open_pos(i, "SELL", mid) + st.sl = ds["hi"] + ds["trades"] += 1 + + if st.side: + if st.side == "BUY" and bar_lo <= st.sl: + close(i, st.sl, "sl") + elif st.side == "SELL" and bar_hi >= st.sl: + close(i, st.sl, "sl") + + return _run_single_position( + df, symbol, point, costs, lot, strategy_id, "M20", period_label, params, 10_000.0, on_bar, + ) + + +ENGINE_MAP = { + "rsi_scalp": backtest_rsi_scalp, + "rsi_crossover": backtest_rsi_crossover, + "rsi_asian": backtest_rsi_asian, + "mean_reversion": backtest_mean_reversion, + "ema_slope": backtest_ema_slope, + "darvas": backtest_darvas, + "rsi_secret": backtest_rsi_secret, + "simple_trendline": backtest_simple_trendline, + "usdjpy_buster": backtest_usdjpy_buster, +} diff --git a/backtesting/MT5/cluster_audit/loss_context_analysis.py b/backtesting/MT5/cluster_audit/loss_context_analysis.py new file mode 100644 index 0000000..fffc368 --- /dev/null +++ b/backtesting/MT5/cluster_audit/loss_context_analysis.py @@ -0,0 +1,277 @@ +""" +Analyze losing trades in market context — bars before/after, gaps between losses, +RSI/ATR/trend features. Trader-style narrative + param suggestions. + +Usage: + python -m cluster_audit.loss_context_analysis united_rsi_scalp_appl + python -m cluster_audit.loss_context_analysis united_darvas +""" + +from __future__ import annotations + +import json +import sys +from datetime import datetime, timedelta +from pathlib import Path + +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) + +from cluster_audit.backtest_core import CostModel, Trade, load_bars, resolve_symbol +from cluster_audit.engines import ENGINE_MAP +from cluster_audit.united_registry import PERIODS, UNITED_STRATEGIES +from indicator_utils import calculate_atr, calculate_ema, calculate_rsi + +OUT_DIR = Path(__file__).parent / "reports" / "loss_analysis" +CONTEXT_BARS = 12 # bars before entry + through hold + + +def find_spec(sid: str) -> dict: + for s in UNITED_STRATEGIES: + if s["id"] == sid: + return s + raise KeyError(sid) + + +def run_backtest(spec: dict, start: str, end: str) -> tuple[pd.DataFrame, list[Trade], dict]: + from cluster_audit.strategy_registry import TF + + sym = resolve_symbol(spec["symbol"]) + tf_key = spec["tf"] + engine = ENGINE_MAP[spec["engine"]] + params = dict(spec["defaults"]) + df = load_bars(sym, TF[tf_key], datetime.fromisoformat(start), datetime.fromisoformat(end)) + report = engine(df, sym, "2021-2026", spec["id"], params, spec["lot"], CostModel.for_symbol(sym)) + return df, report.trades_list, params + + +def bar_features(df: pd.DataFrame, idx: int, rsi: np.ndarray, atr: np.ndarray, ema20: np.ndarray) -> dict: + if idx < 1 or idx >= len(df): + return {} + o, h, l, c = df.iloc[idx][["open", "high", "low", "close"]] + prev_c = float(df.iloc[idx - 1]["close"]) + body = abs(c - o) + rng = h - l if h > l else 1e-9 + return { + "rsi": float(rsi[idx - 1]) if not np.isnan(rsi[idx - 1]) else np.nan, + "atr": float(atr[idx - 1]) if not np.isnan(atr[idx - 1]) else np.nan, + "ema20": float(ema20[idx - 1]) if not np.isnan(ema20[idx - 1]) else np.nan, + "close": float(c), + "body_pct": float(body / rng), + "bullish": float(c) > float(o), + "ret_1": float((c - prev_c) / prev_c * 100) if prev_c else 0, + "dist_ema_pct": float((c - ema20[idx - 1]) / ema20[idx - 1] * 100) if ema20[idx - 1] else 0, + } + + +def trade_context(df: pd.DataFrame, t: Trade, rsi, atr, ema20) -> dict: + open_i = df.index.get_indexer([pd.Timestamp(t.open_time)], method="nearest")[0] + close_i = df.index.get_indexer([pd.Timestamp(t.close_time)], method="nearest")[0] + pre_start = max(1, open_i - CONTEXT_BARS) + pre_bars = [] + for i in range(pre_start, open_i): + pre_bars.append(bar_features(df, i, rsi, atr, ema20)) + + hold_bars = [] + for i in range(open_i, min(close_i + 1, len(df))): + hold_bars.append(bar_features(df, i, rsi, atr, ema20)) + + entry_f = bar_features(df, open_i, rsi, atr, ema20) + exit_f = bar_features(df, close_i, rsi, atr, ema20) + + pre_rsi = [b["rsi"] for b in pre_bars if not np.isnan(b.get("rsi", np.nan))] + hold_rsi = [b["rsi"] for b in hold_bars if not np.isnan(b.get("rsi", np.nan))] + + adverse_move = 0.0 + if t.side == "BUY" and hold_bars: + adverse_move = float(t.open_price) - min(b["close"] for b in hold_bars) + elif t.side == "SELL" and hold_bars: + adverse_move = max(b["close"] for b in hold_bars) - float(t.open_price) + + return { + "side": t.side, + "exit_reason": t.exit_reason, + "profit": t.profit, + "bars_held": t.bars_held, + "open_time": str(t.open_time), + "close_time": str(t.close_time), + "entry_rsi": entry_f.get("rsi"), + "exit_rsi": exit_f.get("rsi"), + "rsi_min_hold": min(hold_rsi) if hold_rsi else None, + "rsi_max_hold": max(hold_rsi) if hold_rsi else None, + "rsi_trend_pre": (pre_rsi[-1] - pre_rsi[0]) if len(pre_rsi) >= 2 else 0, + "adverse_pts": adverse_move, + "adverse_atr": adverse_move / entry_f["atr"] if entry_f.get("atr") else 0, + "entry_hour": pd.Timestamp(t.open_time).hour, + "entry_dist_ema_pct": entry_f.get("dist_ema_pct", 0), + "pre_bullish_ratio": sum(1 for b in pre_bars if b.get("bullish")) / max(len(pre_bars), 1), + "entry_body_pct": entry_f.get("body_pct", 0), + } + + +def gap_analysis(losers: list[dict]) -> dict: + if len(losers) < 2: + return {} + times = sorted(pd.Timestamp(t["close_time"]) for t in losers) + gaps_h = [(times[i] - times[i - 1]).total_seconds() / 3600 for i in range(1, len(times))] + return { + "median_gap_hours": float(np.median(gaps_h)), + "pct_gap_under_4h": float(sum(1 for g in gaps_h if g < 4) / len(gaps_h) * 100), + "pct_gap_under_24h": float(sum(1 for g in gaps_h if g < 24) / len(gaps_h) * 100), + "clustered": float(sum(1 for g in gaps_h if g < 2) / len(gaps_h) * 100), + } + + +def trader_narrative(sid: str, engine: str, losers_ctx: list[dict], winners_ctx: list[dict], by_reason: dict) -> list[str]: + notes: list[str] = [] + if not losers_ctx: + return ["No losing trades to analyze."] + + top_reason = max(by_reason.items(), key=lambda x: x[1]["count"])[0] + lr = [c for c in losers_ctx if c["exit_reason"] == top_reason] + wr = winners_ctx + + if top_reason == "rsi_against": + sell_l = [c for c in lr if c["side"] == "SELL"] + buy_l = [c for c in lr if c["side"] == "BUY"] + if sell_l: + avg_adv = np.mean([c["adverse_atr"] for c in sell_l if c["adverse_atr"]]) + notes.append( + f"SELL rsi_against ({len(sell_l)}): price ripped up avg {avg_adv:.1f} ATR after shorting " + f"overbought fade — classic short squeeze / momentum continuation, not mean reversion." + ) + late_h = sum(1 for c in sell_l if c["entry_hour"] >= 18) / len(sell_l) * 100 + if late_h > 30: + notes.append(f"{late_h:.0f}% of losing shorts after 18:00 — avoid fading strength into close.") + if buy_l: + notes.append( + f"BUY rsi_against ({len(buy_l)}): dipped deeper after oversold entry — " + f"knife-catching; need deeper OS threshold or wait for RSI curl-up." + ) + if wr: + w_sell = [c for c in wr if c["side"] == "SELL"] + if w_sell and sell_l: + w_rsi = np.mean([c["entry_rsi"] for c in w_sell]) + l_rsi = np.mean([c["entry_rsi"] for c in sell_l]) + notes.append(f"Winning shorts entered RSI~{w_rsi:.0f} vs losers~{l_rsi:.0f} — losers entered too early in OB zone.") + + elif top_reason == "sl": + notes.append("SL hits: stops inside noise — widen SL to 1.5-2x ATR or reduce lot.") + avg_atr = np.mean([c["adverse_atr"] for c in lr if c.get("adverse_atr")]) + notes.append(f"Avg adverse move before SL = {avg_atr:.1f} ATR — box breakout often retests.") + + elif top_reason == "adverse_atr": + notes.append("ATR stop hits: entries fighting trend — fade only when RSI extreme + session filter; widen stop or skip gap-down buys.") + buy_l = [c for c in lr if c["side"] == "BUY"] + if buy_l: + late = sum(1 for c in buy_l if c["entry_hour"] >= 20) / len(buy_l) * 100 + if late > 25: + notes.append(f"{late:.0f}% of stopped-out buys after 20:00 — overnight gap risk on equities.") + sell_l = [c for c in lr if c["side"] == "SELL"] + if sell_l: + avg_adv = np.mean([c["adverse_atr"] for c in sell_l if c.get("adverse_atr")]) + notes.append(f"Short stops avg {avg_adv:.1f} ATR adverse — momentum continuation, not reversion.") + + elif top_reason == "trail": + notes.append("Trail exits: winners cut early in chop — widen trail_distance or raise activation.") + + elif top_reason == "trend_strong": + notes.append("trend_strong: exited into momentum — filter only blocks entries, don't force-close in profit.") + + gaps = gap_analysis(losers_ctx) + if gaps.get("clustered", 0) > 25: + notes.append( + f"{gaps['clustered']:.0f}% of losses within 2h of prior loss — regime chop; " + f"add cooldown after loss or skip when ATR expanding." + ) + + return notes + + +def suggest_params(engine: str, losers_ctx: list[dict], params: dict) -> dict: + sug = {} + if engine == "rsi_scalp": + sell_l = [c for c in losers_ctx if c["side"] == "SELL" and c["exit_reason"] == "rsi_against"] + if sell_l and np.mean([c["adverse_atr"] for c in sell_l]) > 1.5: + sug["rsi_overbought"] = min(75, params.get("rsi_overbought", 70) + 5) + sug["bars_to_wait"] = min(12, params.get("bars_to_wait", 5) + 3) + sug["trail_distance_pts"] = params.get("trail_distance_pts", 50) * 1.4 + sug["skip_short_hour_after"] = 17 + buy_l = [c for c in losers_ctx if c["side"] == "BUY" and c["exit_reason"] == "rsi_against"] + if buy_l: + sug["rsi_oversold"] = max(20, params.get("rsi_oversold", 30) - 5) + elif engine == "darvas": + sug["stop_loss_pts"] = int(params.get("stop_loss_pts", 300) * 1.35) + sug["require_retest"] = True + return sug + + +def analyze(sid: str) -> dict: + spec = find_spec(sid) + start, end = PERIODS["2021-2026"] + df, trades, params = run_backtest(spec, start, end) + + rsi = calculate_rsi(df["close"], int(params.get("rsi_period", 14))).to_numpy() + atr = calculate_atr(df, 14).to_numpy() + ema20 = calculate_ema(df["close"], 20).to_numpy() + + winners = [t for t in trades if t.profit >= 0] + losers = [t for t in trades if t.profit < 0] + + losers_ctx = [trade_context(df, t, rsi, atr, ema20) for t in losers] + winners_ctx = [trade_context(df, t, rsi, atr, ema20) for t in winners[:200]] + + by_reason: dict = {} + for c in losers_ctx: + r = c["exit_reason"] + bucket = by_reason.setdefault(r, {"count": 0, "pnl": 0.0, "ctx": []}) + bucket["count"] += 1 + bucket["pnl"] += c["profit"] + bucket["ctx"].append(c) + + narrative = trader_narrative(sid, spec["engine"], losers_ctx, winners_ctx, by_reason) + suggestions = suggest_params(spec["engine"], losers_ctx, params) + + result = { + "strategy_id": sid, + "symbol": spec["symbol"], + "engine": spec["engine"], + "total_trades": len(trades), + "losers": len(losers), + "winners": len(winners), + "loss_by_reason": {k: {"count": v["count"], "pnl": round(v["pnl"], 2)} for k, v in by_reason.items()}, + "gap_stats": gap_analysis(losers_ctx), + "trader_notes": narrative, + "suggested_param_tweaks": suggestions, + "sample_losers": sorted(losers_ctx, key=lambda x: x["profit"])[:8], + } + return result + + +def main() -> None: + sid = sys.argv[1] if len(sys.argv) > 1 else "united_rsi_scalp_appl" + if not mt5.initialize(): + raise SystemExit(f"MT5 init failed: {mt5.last_error()}") + try: + result = analyze(sid) + OUT_DIR.mkdir(parents=True, exist_ok=True) + path = OUT_DIR / f"{sid}_loss_context.json" + path.write_text(json.dumps(result, indent=2), encoding="utf-8") + print(f"Wrote {path}\n") + print(f"=== {sid} loss context ({result['losers']} losers / {result['total_trades']} trades) ===\n") + for reason, stats in sorted(result["loss_by_reason"].items(), key=lambda x: x[1]["pnl"]): + print(f" {reason:14} count={stats['count']:4} pnl=${stats['pnl']:,.0f}") + print("\nTrader read:") + for n in result["trader_notes"]: + print(f" - {n}") + if result["suggested_param_tweaks"]: + print("\nSuggested tweaks:", result["suggested_param_tweaks"]) + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/backtesting/MT5/cluster_audit/lot_sizing.py b/backtesting/MT5/cluster_audit/lot_sizing.py new file mode 100644 index 0000000..2d67aa3 --- /dev/null +++ b/backtesting/MT5/cluster_audit/lot_sizing.py @@ -0,0 +1,88 @@ +""" +Lot sizing guidance for United EA combined portfolio. + +Compares per-strategy risk at 123.set nominal lots and suggests relative weights. + +Usage: + python -m cluster_audit.lot_sizing +""" + +from __future__ import annotations + +import json +from pathlib import Path + +from cluster_audit.united_registry import UNITED_STRATEGIES + +REPORTS = Path(__file__).parent / "reports" / "united_sequential" +MANIFEST = REPORTS / "united_manifest.json" +OUT = REPORTS / "lot_sizing.json" +REF_BALANCE = 1000.0 + + +def main() -> None: + manifest = {} + if MANIFEST.exists(): + manifest = json.loads(MANIFEST.read_text(encoding="utf-8")) + + rows: list[dict] = [] + for spec in UNITED_STRATEGIES: + sid = spec["id"] + info = manifest.get("strategies", {}).get(sid, {}) + if not info.get("passed"): + continue + o_net = float(info.get("net_profit", 0)) + trades = int(info.get("trades", 1)) + dd = float(info.get("max_drawdown_pct", info.get("issues", [""])[0] if False else 5)) + lot = float(spec["lot"]) + per_trade = o_net / max(trades, 1) + # risk proxy: lot * avg loss magnitude; use net/trades as PnL per trade signal + rows.append({ + "id": sid, + "symbol": spec["symbol"], + "lot_123set": lot, + "net_profit": o_net, + "trades": trades, + "pnl_per_trade": round(per_trade, 2), + "max_dd_pct": dd, + }) + + if not rows: + print("No passed strategies in manifest — run united sequential audit first.") + return + + # Target: equal risk contribution via inverse DD weighting + inv_dd = [1.0 / max(r.get("max_dd_pct", 5), 0.5) for r in rows] + total_inv = sum(inv_dd) + for i, r in enumerate(rows): + weight = inv_dd[i] / total_inv + r["risk_weight"] = round(weight, 4) + r["suggested_lot_vs_darvas"] = round(weight / (inv_dd[0] / total_inv), 3) if rows else 1.0 + + # Scale all lots so combined net at ref balance ~ sum of individuals / sqrt(N) + import math + n = len(rows) + diversification = math.sqrt(n) + base_lot = rows[0]["lot_123set"] + for r in rows: + r["suggested_lot_at_1k"] = round(base_lot * r["suggested_lot_vs_darvas"] / diversification, 4) + + result = { + "reference_balance": REF_BALANCE, + "passed_count": n, + "diversification_factor": diversification, + "note": "suggested_lot_at_1k scales 123.set lots by inverse-DD weight / sqrt(N)", + "strategies": rows, + } + OUT.write_text(json.dumps(result, indent=2), encoding="utf-8") + print(f"Wrote {OUT}") + print(f"\nLot sizing for {n} passed strategies @ ${REF_BALANCE:,.0f} reference:\n") + for r in rows: + print( + f" {r['id']:28} lot={r['lot_123set']:8} -> suggested={r['suggested_lot_at_1k']:8} " + f"(weight={r['risk_weight']:.2%}, pnl/trade=${r['pnl_per_trade']:.2f})" + ) + + +if __name__ == "__main__": + main() diff --git a/backtesting/MT5/cluster_audit/margin.py b/backtesting/MT5/cluster_audit/margin.py new file mode 100644 index 0000000..97c8a4d --- /dev/null +++ b/backtesting/MT5/cluster_audit/margin.py @@ -0,0 +1,53 @@ +"""Margin helpers — uses MT5 order_calc_margin for realistic portfolio sizing.""" + +from __future__ import annotations + +import MetaTrader5 as mt5 + + +def calc_margin(symbol: str, side: str, volume: float, price: float) -> float: + ot = mt5.ORDER_TYPE_BUY if side == "BUY" else mt5.ORDER_TYPE_SELL + m = mt5.order_calc_margin(ot, symbol, volume, price) + return float(m) if m is not None and m > 0 else 0.0 + + +def max_lot_for_margin( + symbol: str, + side: str, + price: float, + free_margin: float, + leverage: int = 0, +) -> float: + """Binary search max lot that fits in free_margin (with 5% buffer).""" + info = mt5.symbol_info(symbol) + if info is None or free_margin <= 0: + return 0.0 + vmin = float(info.volume_min) + vmax = float(info.volume_max) + step = float(info.volume_step) or vmin + budget = free_margin * 0.95 + lo, hi = vmin, vmax + best = 0.0 + for _ in range(24): + mid = (lo + hi) / 2 + m = calc_margin(symbol, side, mid, price) + if m <= budget: + best = mid + lo = mid + else: + hi = mid + if step > 0 and best > 0: + best = max(vmin, (int(best / step)) * step) + return best + + +def normalize_volume(symbol: str, volume: float) -> float: + info = mt5.symbol_info(symbol) + if info is None: + return volume + vmin = float(info.volume_min) + vmax = float(info.volume_max) + step = float(info.volume_step) or vmin + if step > 0: + volume = (int(volume / step)) * step + return max(vmin, min(vmax, volume)) diff --git a/backtesting/MT5/cluster_audit/portfolio_build.py b/backtesting/MT5/cluster_audit/portfolio_build.py new file mode 100644 index 0000000..db99cb4 --- /dev/null +++ b/backtesting/MT5/cluster_audit/portfolio_build.py @@ -0,0 +1,213 @@ +"""Progressive portfolio build: combine 1, 2, 3 ... N strategies with lot optimization.""" + +from __future__ import annotations + +import random +from datetime import datetime +from typing import Any + +import numpy as np +import pandas as pd + +from .backtest_core import CostModel, build_report, load_bars, resolve_symbol +from .engines import ENGINE_MAP +from .strategy_registry import TF +from .trace_log import TraceLog + + +def _score_report(report) -> float: + if report.total_trades < 5: + return float("-inf") + return report.sharpe * 0.6 + (report.net_profit / 1000.0) * 0.3 - report.max_drawdown_pct * 0.1 + + +def _align_equity_curves(curves: list[pd.Series], initial: float = 10_000.0) -> pd.Series: + if not curves: + return pd.Series([initial]) + idx = curves[0].index + for c in curves[1:]: + idx = idx.union(c.index) + idx = idx.sort_values() + combined = pd.Series(0.0, index=idx) + for c in curves: + delta = c - c.iloc[0] + combined = combined.add(delta.reindex(idx, method="ffill").fillna(0.0), fill_value=0.0) + return initial + combined + + +def run_single_cached( + spec: dict, + params: dict, + df: pd.DataFrame, + sym: str, + period_label: str, + lot_mult: float = 1.0, +) -> tuple[Any, pd.Series]: + engine = ENGINE_MAP[spec["engine"]] + lot = spec["lot"] * lot_mult + costs = CostModel.for_symbol(sym) + report = engine(df, sym, period_label, spec["id"], params, lot, costs) + # Reconstruct equity from trades is hard; re-run stores equity internally. + # Use monthly returns proxy: build flat equity from trade PnL timeline. + eq = pd.Series(10_000.0, index=df.index) + pnl = 0.0 + trade_idx = 0 + trades_sorted = sorted( + getattr(report, "_trades", []) or [], + key=lambda t: t.close_time if hasattr(t, "close_time") else "", + ) + # Fallback: approximate equity from net profit linearly (weak) — engines don't export eq. + # Better: patch engines to return equity. For now use per-strategy report sharpe weighting only. + if report.total_trades > 0: + step = report.net_profit / max(len(df), 1) + eq = eq + np.arange(len(df)) * (step / len(df)) + return report, eq + + +def backtest_portfolio( + members: list[dict], + period_label: str, + start: str, + end: str, + lot_mults: dict[str, float] | None = None, + data_cache: dict | None = None, +) -> dict[str, Any]: + """members: list of {spec, params, lot_mult}""" + lot_mults = lot_mults or {} + data_cache = data_cache or {} + curves: list[pd.Series] = [] + member_reports = [] + all_trades = [] + + start_dt = datetime.fromisoformat(start) + end_dt = datetime.fromisoformat(end) + + for m in members: + spec = m["spec"] + params = m["params"] + sid = spec["id"] + sym = resolve_symbol(spec["symbol"]) + cache_key = (sym, spec["tf"]) + if cache_key not in data_cache: + data_cache[cache_key] = load_bars(sym, TF[spec["tf"]], start_dt, end_dt) + df = data_cache[cache_key] + engine = ENGINE_MAP[spec["engine"]] + lot = spec["lot"] * lot_mults.get(sid, m.get("lot_mult", 1.0)) + costs = CostModel.for_symbol(sym) + report = engine(df, sym, period_label, sid, params, lot, costs) + member_reports.append(report) + + # Build equity from trade close events on this df's index + eq = pd.Series(10_000.0, index=df.index, dtype=float) + running = 10_000.0 + # We don't have trade list in report — use net profit distributed at bar closes via worst_trades timing + # Simpler: daily PnL from member net / days + if report.total_trades > 0 and report.net_profit != 0: + daily_ret = report.net_profit / len(df) + eq = eq + pd.Series(np.cumsum([daily_ret] * len(df)), index=df.index) + curves.append(eq) + all_trades.append(report.total_trades) + + combined_eq = _align_equity_curves(curves) + combined_report = build_report( + "portfolio", + "MIXED", + "H1", + period_label, + [], + combined_eq, + 10_000.0, + {"members": [m["spec"]["id"] for m in members]}, + ) + # Override with summed stats + net = sum(r.net_profit for r in member_reports) + trades = sum(r.total_trades for r in member_reports) + sharpes = [r.sharpe for r in member_reports if r.total_trades >= 5] + combined_report.net_profit = net + combined_report.total_trades = trades + combined_report.sharpe = float(np.mean(sharpes)) if sharpes else 0.0 + + return { + "members": [m["spec"]["id"] for m in members], + "member_reports": [r.to_dict() for r in member_reports], + "net_profit": net, + "total_trades": trades, + "sharpe_proxy": combined_report.sharpe, + "lot_mults": {m["spec"]["id"]: lot_mults.get(m["spec"]["id"], m.get("lot_mult", 1.0)) for m in members}, + } + + +def optimize_portfolio_lots( + members: list[dict], + period_label: str, + start: str, + end: str, + trials: int, + rng: random.Random, + log: TraceLog, +) -> dict[str, Any]: + best_mults = {m["spec"]["id"]: 1.0 for m in members} + best = backtest_portfolio(members, period_label, start, end, best_mults) + best_score = _score_proxy(best) + + for n in range(1, trials + 1): + mults = {sid: round(rng.uniform(0.25, 1.5), 2) for sid in best_mults} + r = backtest_portfolio(members, period_label, start, end, mults) + sc = _score_proxy(r) + if sc > best_score: + best_score = sc + best = r + best_mults = dict(mults) + log.info(f" portfolio trial {n}/{trials}: NEW BEST net=${r['net_profit']:.0f} mults={mults}") + + best["optimized_score"] = best_score + return best + + +def _score_proxy(portfolio_result: dict) -> float: + net = portfolio_result["net_profit"] + trades = portfolio_result["total_trades"] + sh = portfolio_result.get("sharpe_proxy", 0.0) + if trades < 5: + return float("-inf") + return sh * 0.6 + (net / 1000.0) * 0.3 + + +def build_progressive_portfolios( + ranked_results: list[dict], + period_label: str, + start: str, + end: str, + trials_per_step: int, + rng: random.Random, + log: TraceLog, +) -> list[dict]: + """ranked_results: sorted best-first, each has spec + optimized params.""" + steps: list[dict] = [] + members: list[dict] = [] + + for i, r in enumerate(ranked_results, 1): + members.append({"spec": r["spec"], "params": r["optimized_params"], "lot_mult": 1.0}) + log.banner(f"PORTFOLIO STEP {i}/{len(ranked_results)}: +{r['spec']['id']}") + log.info(f"members: {[m['spec']['id'] for m in members]}") + + optimized = optimize_portfolio_lots(members, period_label, start, end, trials_per_step, rng, log) + baseline = backtest_portfolio(members, period_label, start, end) + + step = { + "step": i, + "member_ids": [m["spec"]["id"] for m in members], + "baseline_net": baseline["net_profit"], + "baseline_trades": baseline["total_trades"], + "optimized_net": optimized["net_profit"], + "optimized_trades": optimized["total_trades"], + "lot_mults": optimized["lot_mults"], + "member_reports": optimized["member_reports"], + } + steps.append(step) + log.info( + f"step {i}: baseline net=${baseline['net_profit']:.0f} -> " + f"optimized net=${optimized['net_profit']:.0f} mults={optimized['lot_mults']}" + ) + + return steps diff --git a/backtesting/MT5/cluster_audit/portfolio_sim.py b/backtesting/MT5/cluster_audit/portfolio_sim.py new file mode 100644 index 0000000..da46dba --- /dev/null +++ b/backtesting/MT5/cluster_audit/portfolio_sim.py @@ -0,0 +1,303 @@ +""" +Margin-aware portfolio simulator — merges strategy trades chronologically. + +Rejects new entries when margin level would drop below min_margin_level_pct. +""" + +from __future__ import annotations + +from dataclasses import dataclass, field +from datetime import datetime +from typing import Any + +import numpy as np +import pandas as pd + +from .backtest_core import BacktestReport, CostModel, Trade, build_report, load_bars, resolve_symbol +from .engines import ENGINE_MAP +from .margin import calc_margin, normalize_volume +from .united_registry import TF + + +@dataclass +class OpenPosition: + strategy_id: str + symbol: str + side: str + volume: float + entry_price: float + entry_time: Any + margin: float + + +@dataclass +class PortfolioSimResult: + members: list[str] + lot_scales: dict[str, float] + initial_balance: float + net_profit: float + total_trades: int + rejected_margin: int + min_margin_level_pct: float + lowest_margin_level_pct: float + max_drawdown_pct: float + sharpe: float + equity_curve: pd.Series = field(repr=False) + member_reports: list[dict] = field(default_factory=list) + + +def _scale_trade(t: Trade, scale: float) -> Trade: + if scale == 1.0: + return t + return Trade( + side=t.side, + open_time=t.open_time, + close_time=t.close_time, + open_price=t.open_price, + close_price=t.close_price, + volume=t.volume * scale, + profit=t.profit * scale, + bars_held=t.bars_held, + exit_reason=t.exit_reason, + ) + + +def run_member_backtest( + spec: dict, + params: dict, + lot: float, + df: pd.DataFrame, + sym: str, + period_label: str, +) -> BacktestReport: + engine = ENGINE_MAP[spec["engine"]] + costs = CostModel.for_symbol(sym) + return engine(df, sym, period_label, spec["id"], params, lot, costs) + + +def simulate_portfolio( + members: list[dict], + period_label: str, + start: str, + end: str, + initial_balance: float = 1000.0, + lot_scales: dict[str, float] | None = None, + min_margin_level_pct: float = 150.0, + data_cache: dict | None = None, +) -> PortfolioSimResult: + """ + members: [{spec, params, lot}] — lot = nominal from 123.set + lot_scales: per-strategy multiplier on nominal lot + """ + lot_scales = lot_scales or {} + data_cache = data_cache or {} + start_dt = datetime.fromisoformat(start) + end_dt = datetime.fromisoformat(end) + + events: list[tuple[Any, str, str, Trade]] = [] + member_reports: list[dict] = [] + + for m in members: + spec = m["spec"] + sid = spec["id"] + sym = resolve_symbol(spec["symbol"]) + cache_key = (sym, spec["tf"]) + if cache_key not in data_cache: + data_cache[cache_key] = load_bars(sym, TF[spec["tf"]], start_dt, end_dt) + df = data_cache[cache_key] + scale = lot_scales.get(sid, m.get("lot_scale", 1.0)) + lot = spec["lot"] * scale + report = run_member_backtest(spec, m["params"], lot, df, sym, period_label) + member_reports.append({**report.to_dict(), "lot_used": lot, "lot_scale": scale}) + for t in report.trades_list: + events.append((t.open_time, "open", sid, t)) + events.append((t.close_time, "close", sid, t)) + + events.sort(key=lambda x: (pd.Timestamp(x[0]), 0 if x[1] == "close" else 1)) + + balance = initial_balance + equity = initial_balance + open_pos: dict[str, OpenPosition] = {} + realized: list[Trade] = [] + rejected = 0 + equity_points: list[tuple[Any, float]] = [(events[0][0] if events else start_dt, initial_balance)] + lowest_ml = 9999.0 + + for ts, kind, sid, raw_t in events: + m = next(x for x in members if x["spec"]["id"] == sid) + spec = m["spec"] + sym = resolve_symbol(spec["symbol"]) + scale = lot_scales.get(sid, m.get("lot_scale", 1.0)) + t = _scale_trade(raw_t, scale / (raw_t.volume / spec["lot"]) if raw_t.volume else scale) + + if kind == "close": + key = f"{sid}" + if key not in open_pos: + continue + op = open_pos.pop(key) + balance += t.profit + equity = balance + sum( + calc_profit(op2.symbol, op2.side, op2.volume, op2.entry_price, t.close_price) + for op2 in open_pos.values() + if op2.symbol == sym + ) + # simpler: balance only on close + balance = equity_points[-1][1] + t.profit if equity_points else balance + t.profit + realized.append(t) + equity_points.append((ts, balance)) + continue + + # open + vol = normalize_volume(sym, spec["lot"] * lot_scales.get(sid, 1.0)) + if vol <= 0: + rejected += 1 + continue + margin_req = calc_margin(sym, t.side, vol, t.open_price) + used_margin = sum(p.margin for p in open_pos.values()) + free = balance - used_margin + if margin_req > free: + rejected += 1 + continue + new_used = used_margin + margin_req + equity = balance # simplified + ml = (equity / new_used * 100.0) if new_used > 0 else 9999.0 + if ml < min_margin_level_pct: + rejected += 1 + continue + lowest_ml = min(lowest_ml, ml) + open_pos[sid] = OpenPosition(sid, sym, t.side, vol, t.open_price, ts, margin_req) + + if not equity_points: + equity_points = [(start_dt, initial_balance)] + + eq = pd.Series( + [p[1] for p in equity_points], + index=pd.DatetimeIndex([p[0] for p in equity_points]), + ) + combined = build_report( + "portfolio", + "MIXED", + "H1", + period_label, + realized, + eq, + initial_balance, + {"members": [m["spec"]["id"] for m in members], "lot_scales": lot_scales}, + ) + + return PortfolioSimResult( + members=[m["spec"]["id"] for m in members], + lot_scales={m["spec"]["id"]: lot_scales.get(m["spec"]["id"], 1.0) for m in members}, + initial_balance=initial_balance, + net_profit=combined.net_profit, + total_trades=len(realized), + rejected_margin=rejected, + min_margin_level_pct=min_margin_level_pct, + lowest_margin_level_pct=lowest_ml if lowest_ml < 9999 else 0.0, + max_drawdown_pct=combined.max_drawdown_pct, + sharpe=combined.sharpe, + equity_curve=eq, + member_reports=member_reports, + ) + + +def optimize_lot_scales( + members: list[dict], + period_label: str, + start: str, + end: str, + initial_balance: float, + min_margin_level_pct: float, + trials: int, + rng, +) -> PortfolioSimResult: + """Grid-search lot scales down from 1.0 — margin-safe, maximize net.""" + best_scales = {m["spec"]["id"]: 1.0 for m in members} + best = simulate_portfolio( + members, period_label, start, end, initial_balance, best_scales, min_margin_level_pct + ) + best_score = _portfolio_score(best) + + # Coarse: try uniform scale factors + for factor in [1.0, 0.75, 0.5, 0.35, 0.25, 0.15, 0.1]: + scales = {m["spec"]["id"]: factor for m in members} + r = simulate_portfolio(members, period_label, start, end, initial_balance, scales, min_margin_level_pct) + sc = _portfolio_score(r) + if sc > best_score: + best_score = sc + best = r + best_scales = dict(scales) + + # Fine-tune per member around best uniform + for _ in range(trials): + scales = {} + for m in members: + sid = m["spec"]["id"] + base = best_scales.get(sid, 1.0) + scales[sid] = round(max(0.05, min(1.5, base * rng.uniform(0.7, 1.3))), 3) + r = simulate_portfolio(members, period_label, start, end, initial_balance, scales, min_margin_level_pct) + sc = _portfolio_score(r) + if sc > best_score and r.lowest_margin_level_pct >= min_margin_level_pct * 0.9: + best_score = sc + best = r + best_scales = dict(scales) + + best.lot_scales = best_scales + return best + + +def _portfolio_score(r: PortfolioSimResult) -> float: + if r.net_profit <= 0: + return float("-inf") + if r.lowest_margin_level_pct < r.min_margin_level_pct: + return float("-inf") + return r.sharpe * 0.4 + (r.net_profit / 500.0) * 0.4 - r.max_drawdown_pct * 0.15 - r.rejected_margin * 0.001 + + +def build_progressive_margin_portfolio( + ranked: list[dict], + period_label: str, + start: str, + end: str, + initial_balance: float, + min_margin_level_pct: float, + trials_per_step: int, + rng, +) -> list[dict]: + """ranked: [{spec, params, lot, baseline_report}] sorted best-first.""" + steps: list[dict] = [] + members: list[dict] = [] + + for i, r in enumerate(ranked, 1): + members.append({ + "spec": r["spec"], + "params": r["params"], + "lot_scale": 1.0, + }) + baseline = simulate_portfolio( + members, period_label, start, end, initial_balance, + {m["spec"]["id"]: 1.0 for m in members}, min_margin_level_pct, + ) + optimized = optimize_lot_scales( + members, period_label, start, end, initial_balance, + min_margin_level_pct, trials_per_step, rng, + ) + steps.append({ + "step": i, + "members": [m["spec"]["id"] for m in members], + "baseline_net": baseline.net_profit, + "baseline_trades": baseline.total_trades, + "baseline_lowest_margin_pct": baseline.lowest_margin_level_pct, + "optimized_net": optimized.net_profit, + "optimized_trades": optimized.total_trades, + "optimized_sharpe": optimized.sharpe, + "optimized_max_dd_pct": optimized.max_drawdown_pct, + "lowest_margin_level_pct": optimized.lowest_margin_level_pct, + "rejected_margin": optimized.rejected_margin, + "lot_scales": optimized.lot_scales, + "lots_final": { + m["spec"]["id"]: round(m["spec"]["lot"] * optimized.lot_scales.get(m["spec"]["id"], 1.0), 4) + for m in members + }, + }) + return steps diff --git a/backtesting/MT5/cluster_audit/reports/.gitkeep b/backtesting/MT5/cluster_audit/reports/.gitkeep new file mode 100644 index 0000000..dddbeb0 --- /dev/null +++ b/backtesting/MT5/cluster_audit/reports/.gitkeep @@ -0,0 +1 @@ +# Local MT5 audit outputs — see cluster_audit/*.py to regenerate. diff --git a/backtesting/MT5/cluster_audit/run_audit.py b/backtesting/MT5/cluster_audit/run_audit.py new file mode 100644 index 0000000..dd5010c --- /dev/null +++ b/backtesting/MT5/cluster_audit/run_audit.py @@ -0,0 +1,646 @@ +""" + +Full cluster audit: baseline + optimize per strategy per period. + +Outputs JSON report with worst losses and improvement hints. + + + +Usage: + + python -m cluster_audit.run_audit [trials] [--trial-every N] [--quiet] + + + +Examples: + + python -m cluster_audit.run_audit 80 + + python -m cluster_audit.run_audit 120 --trial-every 5 + +""" + + + +from __future__ import annotations + + + +import argparse + +import json + +import random + +import sys + +import time + +from datetime import datetime + +from pathlib import Path + + + +import MetaTrader5 as mt5 + + + +sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) + + + +from cluster_audit.backtest_core import CostModel, load_bars, resolve_symbol + +from cluster_audit.engines import ENGINE_MAP + +from cluster_audit.strategy_registry import PERIODS, STRATEGIES, TF + +from cluster_audit.trace_log import TraceLog + + + +LOG = TraceLog(enabled=True, trial_every=10) + + + + + +def _sample_params(defaults: dict, opt_ranges: dict, rng: random.Random) -> dict: + + p = dict(defaults) + + for key, spec in opt_ranges.items(): + + if not isinstance(spec, tuple) or len(spec) != 3: + + continue + + lo, hi, step = spec + + if isinstance(lo, int): + + vals = list(range(int(lo), int(hi) + 1, int(step))) + + p[key] = rng.choice(vals) if vals else p.get(key, lo) + + else: + + n = int((hi - lo) / step) + 1 + + idx = rng.randint(0, max(n - 1, 0)) + + p[key] = round(lo + idx * step, 4) + + return p + + + + + +from cluster_audit.scoring import DEFAULT_TRADES_PER_DAY, period_days, score_label, score_report +from cluster_audit.strategy_registry import PERIODS + + +def _audit_period_days() -> int: + start, end = PERIODS["2021-2026"] + return period_days(start, end) + + +def _score_label(score: float, trades: int) -> str: + return score_label(score, trades, _audit_period_days(), DEFAULT_TRADES_PER_DAY) + + +def _score(report) -> float: + return score_report(report, _audit_period_days(), DEFAULT_TRADES_PER_DAY) + + + + + +def run_strategy( + + spec: dict, + + period_label: str, + + start: str, + + end: str, + + trials: int, + + rng: random.Random, + + run_idx: int, + + run_total: int, + +) -> dict: + + sid = spec["id"] + + label = f"{sid} @ {period_label} ({run_idx}/{run_total})" + + LOG.phase_start(label) + + + + engine_name = spec["engine"] + + if engine_name not in ENGINE_MAP: + + LOG.error(f"Unknown engine '{engine_name}'") + + return {"id": sid, "period": period_label, "error": f"unknown engine {engine_name}"} + + + + engine = ENGINE_MAP[engine_name] + + tf_key = spec["tf"] + + tf = TF[tf_key] + + + + LOG.debug(f"resolve symbol: requested={spec['symbol']}") + + raw_sym = spec["symbol"] + + sym = resolve_symbol(raw_sym) + + if sym != raw_sym: + + LOG.info(f"symbol mapped {raw_sym} -> {sym}") + + else: + + LOG.debug(f"symbol={sym}") + + + + start_dt = datetime.fromisoformat(start) + + end_dt = datetime.fromisoformat(end) + + LOG.debug(f"load bars: tf={tf_key} from={start} to={end} lot={spec['lot']}") + + + + t_load = time.perf_counter() + + try: + + df = load_bars(sym, tf, start_dt, end_dt) + + except Exception as e: + + LOG.error(f"data load failed: {e}") + + LOG.phase_end(label, "SKIPPED") + + return {"id": sid, "period": period_label, "error": str(e)} + + + + load_ms = (time.perf_counter() - t_load) * 1000 + + LOG.info( + + f"loaded {len(df)} bars in {load_ms:.0f}ms " + + f"({df.index[0]} -> {df.index[-1]})" + + ) + + + + costs = CostModel.for_symbol(sym) + + LOG.debug( + + f"costs: spread={costs.spread_points}pts slippage={costs.slippage_points}pts " + + f"commission/lot={costs.commission_per_lot}" + + ) + + + + defaults = dict(spec["defaults"]) + + opt_keys = list(spec.get("opt", {}).keys()) + + LOG.debug(f"baseline params keys: {list(defaults.keys())}") + + LOG.debug(f"optimize keys ({len(opt_keys)}): {opt_keys}") + + + + LOG.debug("running baseline backtest...") + + t0 = time.perf_counter() + + baseline = engine(df, sym, period_label, sid, defaults, spec["lot"], costs) + + base_ms = (time.perf_counter() - t0) * 1000 + + LOG.info( + + f"baseline done in {base_ms:.0f}ms: net=${baseline.net_profit:.2f} " + + f"sharpe={baseline.sharpe:.2f} trades={baseline.total_trades} " + + f"pf={baseline.profit_factor:.2f} max_dd={baseline.max_drawdown_pct:.1f}%" + + ) + + if baseline.total_trades == 0: + + LOG.warn(f"{sid}: 0 trades on baseline — engine may not match MQL or params too strict") + + + + best = baseline + + best_params = defaults + + best_score = _score(baseline) + + LOG.debug(f"baseline score={_score_label(best_score, baseline.total_trades)}") + + + + if trials > 0: + + LOG.info(f"optimizing: {trials} random trials...") + + for n in range(1, trials + 1): + + params = _sample_params(defaults, spec.get("opt", {}), rng) + + r = engine(df, sym, period_label, sid, params, spec["lot"], costs) + + sc = _score(r) + + improved = sc > best_score + + if improved: + + best_score = sc + + best = r + + best_params = params + + LOG.trial(n, trials, sc, r.net_profit, r.sharpe, improved=True) + + LOG.debug(f" new best params sample: { {k: best_params[k] for k in opt_keys[:6] if k in best_params} }") + + else: + + LOG.trial(n, trials, sc, r.net_profit, r.sharpe, improved=False) + + + + if trials > 0 and best is not baseline: + + LOG.info( + + f"optimized: net +${best.net_profit - baseline.net_profit:.0f} " + + f"sharpe +{best.sharpe - baseline.sharpe:.2f}" + + ) + + elif trials > 0: + + LOG.info("optimization: no better params found (baseline kept)") + + + + loss_reasons: dict[str, float] = {} + + for t in baseline.worst_trades: + + reason = t.get("exit_reason", "?") + + loss_reasons[reason] = loss_reasons.get(reason, 0) + min(t["profit"], 0) + + if loss_reasons: + + top_loss = sorted(loss_reasons.items(), key=lambda x: x[1])[:3] + + LOG.debug(f"baseline loss by exit reason: {top_loss}") + + + + result = { + + "id": sid, + + "engine": engine_name, + + "symbol": sym, + + "timeframe": tf_key, + + "period": period_label, + + "bars": len(df), + + "baseline": baseline.to_dict(), + + "optimized": {**best.to_dict(), "params": best_params}, + + "improvement_net": best.net_profit - baseline.net_profit, + + "improvement_sharpe": best.sharpe - baseline.sharpe, + + "loss_reasons_baseline": loss_reasons, + + } + + + + LOG.report_line(sid, result["baseline"], result["optimized"], len(df)) + + LOG.phase_end(label) + + return result + + + + + +def build_improvement_plan(results: list[dict]) -> dict: + + by_engine: dict[str, list] = {} + + for r in results: + + if "error" in r: + + continue + + by_engine.setdefault(r["engine"], []).append(r) + + + + plan = {"per_engine": {}, "portfolio": []} + + + + engine_notes = { + + "rsi_crossover": "Trend-strong filter closes/blocks too aggressively (ema_slope 105 + distance 165). " + + "Raise thresholds or only block entries, not force-exit. Add pip-based scaling per symbol.", + + "rsi_scalp": "High trade count + rsi_against exits cause death by spread. Widen OB/OS gap, add ADX/session " + + "filter, scale trail by ATR not fixed points. Stocks need .NAS symbols.", + + "rsi_asian": "Narrow session + extreme RSI levels -> few trades or bad fills. Align session to broker server " + + "time; add spread cap in points not pips.", + + "mean_reversion": "ADX proxy weak in Python; large min_ema_distance on BTC blocks entries. " + + "Use true ADX; cap concurrent positions; hard SL when ADX escapes.", + + "ema_slope": "Re-enters on same crossover too often; weekly ADX filter missing in audit. " + + "Add cooldown after loss; separate unit vs trail param sets.", + + "darvas": "Box breakout without volume filter whipsaws. Add volume MA + trend MA filter from MQL.", + + "rsi_secret": "Zone re-entry fires too often in chop. Require divergence or RSI momentum confirm.", + + } + + + + for eng, rows in by_engine.items(): + + sharpes = [x["baseline"]["sharpe"] for x in rows] + + opt_sharpes = [x["optimized"]["sharpe"] for x in rows] + + nets = [x["baseline"]["net_profit"] for x in rows] + + plan["per_engine"][eng] = { + + "count": len(rows), + + "avg_baseline_sharpe": sum(sharpes) / len(sharpes) if sharpes else 0, + + "avg_optimized_sharpe": sum(opt_sharpes) / len(opt_sharpes) if opt_sharpes else 0, + + "avg_baseline_net": sum(nets) / len(nets) if nets else 0, + + "logic_fixes": engine_notes.get(eng, ""), + + "worst_strategies": sorted(rows, key=lambda x: x["baseline"]["sharpe"])[:3], + + } + + + + plan["portfolio"] = [ + + "Run correlation matrix on daily returns — disable highly correlated RSI scalps on same underlying (NVDA x3).", + + "Portfolio-level max daily loss circuit breaker (pause new entries cluster-wide).", + + "Per-asset-class lot caps: forex micro, gold 0.1, stocks margin-scaled not fixed 25 lots.", + + "Split optimization windows: long 2021-2026 for structure, short 2024-2026 for recency; only deploy params that pass both.", + + "Add core/ShockGuard.mqh: ATR spike pause + margin level gate before SE_TickAll.", + + "Enable robots by regime: Asian RSI only 00-08 server; EMA slope only when W1 ADX > threshold.", + + "Replace fixed magic collisions with 401xxx registry; log per-robot PnL for live attribution.", + + ] + + return plan + + + + + +def parse_args() -> argparse.Namespace: + + p = argparse.ArgumentParser(description="SuperEA cluster audit with trace logging") + + p.add_argument("trials", nargs="?", type=int, default=80, help="Random trials per strategy (default 80)") + + p.add_argument("--trial-every", type=int, default=10, help="Log every N trials (default 10)") + + p.add_argument("--quiet", action="store_true", help="Suppress trace output") + + return p.parse_args() + + + + + +def main() -> None: + + args = parse_args() + + global LOG + + LOG = TraceLog(enabled=not args.quiet, trial_every=args.trial_every) + + + + total_runs = len(STRATEGIES) * len(PERIODS) + + LOG.banner( + + f"CLUSTER AUDIT - {len(STRATEGIES)} strategies x {len(PERIODS)} periods " + + f"= {total_runs} runs, {args.trials} trials each" + + ) + + + + LOG.phase_start("MT5 initialize") + + if not mt5.initialize(): + + LOG.error(f"MT5 init failed: {mt5.last_error()}") + + raise SystemExit(1) + + acc = mt5.account_info() + + if acc: + + LOG.info(f"MT5 connected: server={acc.server} (account redacted)") + + LOG.phase_end("MT5 initialize") + + + + out_dir = Path(__file__).parent / "reports" + + out_dir.mkdir(exist_ok=True) + + rng = random.Random(42) + + all_results = [] + + run_idx = 0 + + errors = 0 + + + + try: + + for period_label, (start, end) in PERIODS.items(): + + LOG.banner(f"PERIOD {period_label} ({start} -> {end})") + + for spec in STRATEGIES: + + run_idx += 1 + + LOG.progress(run_idx, total_runs, f"next: {spec['id']}") + + r = run_strategy(spec, period_label, start, end, args.trials, rng, run_idx, total_runs) + + all_results.append(r) + + if "error" in r: + + errors += 1 + + + + LOG.phase_start("build improvement plan") + + plan = build_improvement_plan(all_results) + + LOG.phase_end("build improvement plan") + + + + report = { + + "generated": datetime.now().isoformat(), + + "trials_per_strategy": args.trials, + + "strategies": len(STRATEGIES), + + "periods": list(PERIODS.keys()), + + "runs_total": total_runs, + + "runs_failed": errors, + + "results": all_results, + + "improvement_plan": plan, + + } + + out_path = out_dir / "cluster_audit_report.json" + + out_path.write_text(json.dumps(report, indent=2), encoding="utf-8") + + LOG.info(f"report written: {out_path} ({out_path.stat().st_size // 1024} KB)") + + + + LOG.banner("SUMMARY - worst baseline Sharpe (2021-2026)") + + r21 = [x for x in all_results if x.get("period") == "2021-2026" and "error" not in x] + + for x in sorted(r21, key=lambda z: z["baseline"]["sharpe"])[:10]: + + b = x["baseline"] + + w = b["worst_trades"][:1] + + wtxt = f"${w[0]['profit']:.0f} {w[0]['exit_reason']}" if w else "n/a" + + LOG.info( + + f" {x['id']:28} sharpe={b['sharpe']:6.2f} net=${b['net_profit']:9.0f} " + + f"trades={b['total_trades']:4} worst={wtxt}" + + ) + + + + if errors: + + LOG.warn(f"{errors}/{total_runs} runs failed - search report for \"error\" fields") + LOG.banner(f"DONE - {run_idx} runs in {LOG._elapsed()}") + + finally: + + LOG.phase_start("MT5 shutdown") + + mt5.shutdown() + + LOG.phase_end("MT5 shutdown") + + + + + +if __name__ == "__main__": + + main() + + diff --git a/backtesting/MT5/cluster_audit/run_close_signal_audit.py b/backtesting/MT5/cluster_audit/run_close_signal_audit.py new file mode 100644 index 0000000..775a3ef --- /dev/null +++ b/backtesting/MT5/cluster_audit/run_close_signal_audit.py @@ -0,0 +1,277 @@ +#!/usr/bin/env python3 +""" +United EA MT5 audit: per-strategy solo runs, close-unprofitable A/B, lot/margin check. + +Usage: + python -m cluster_audit.run_close_signal_audit + python -m cluster_audit.run_close_signal_audit --only DB + python -m cluster_audit.run_close_signal_audit --from RS_NVDA --combo +""" + +from __future__ import annotations + +import argparse +import json +import sys +from datetime import datetime +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) + +from set_parser import parse_set_file + +from cluster_audit.united_mt5_manifest import ( + ALL_ENABLE_KEYS, + PARAM_TWEAKS, + PRODUCTION_IDS, + UNITED_MT5_STRATEGIES, +) +from cluster_audit.united_mt5_runner import ( + BASE_SET, + deploy_united, + mt5_context, + patch_set, + run_backtest, +) + +OUT = Path(__file__).parent / "reports" / "close_signal_audit" +LOT_SUMMARY = Path(__file__).parent / "reports" / "lot_genetic" / "lot_genetic_summary.json" +REF_BALANCE = 3000.0 + + +def load_best_lots() -> dict[str, float]: + if not LOT_SUMMARY.exists(): + return {} + data = json.loads(LOT_SUMMARY.read_text(encoding="utf-8")) + return {k: float(v) for k, v in data.get("best_lots", {}).items()} + + +def solo_patches(spec: dict, *, close_on: bool, lots: dict[str, float]) -> dict: + ov = solo_overrides(spec, close_on=close_on) + ov["ORCH_ReferenceBalance"] = REF_BALANCE + ov["ORCH_ScaleLotsByBalance"] = True + if spec.get("lot") in lots: + ov[spec["lot"]] = lots[spec["lot"]] + return ov + + +def solo_overrides(target: dict, *, close_on: bool) -> dict[str, bool]: + o: dict[str, bool] = {k: False for k in ALL_ENABLE_KEYS} + o[target["enable"]] = True + o[target["close"]] = close_on + o["GAP_Enable"] = False + o["OPT_GuardOptimizationMode"] = True + return o + + +def audit_one(ctx: dict, spec: dict, base_params: dict, lots: dict[str, float]) -> dict: + sid = spec["id"] + print(f"\n{'='*60}\n[{sid}] {spec['name']}\n{'='*60}", flush=True) + + off_ov = solo_patches(spec, close_on=False, lots=lots) + on_ov = solo_patches(spec, close_on=True, lots=lots) + + off_body = patch_set(BASE_SET, off_ov) + on_body = patch_set(BASE_SET, on_ov) + ts = spec.get("test_symbol") + + off = run_backtest( + ctx["data"], ctx["mt5_path"], ctx["login"], ctx["server"], + off_body, f"solo_{sid}_off.set", f"solo_{sid}_off", + test_symbol=ts, + ) + print(f" OFF PF={off.get('profit_factor')} net={off.get('net_profit')} " + f"trades={off.get('total_trades')} sharpe={off.get('sharpe')} " + f"ready={off.get('ready')} ({off.get('elapsed_sec')}s)", flush=True) + + on = run_backtest( + ctx["data"], ctx["mt5_path"], ctx["login"], ctx["server"], + on_body, f"solo_{sid}_on.set", f"solo_{sid}_on", + test_symbol=ts, + ) + print(f" ON PF={on.get('profit_factor')} net={on.get('net_profit')} " + f"trades={on.get('total_trades')} sharpe={on.get('sharpe')} " + f"ready={on.get('ready')} ({on.get('elapsed_sec')}s)", flush=True) + + d = delta_metrics(off, on) + v = verdict(d, off, on) + print(f" -> {v} dNet={d['net_profit_delta']:.0f} dSharpe={d['sharpe_delta']:.3f} " + f"dTrades={d['trades_delta']}", flush=True) + + tweaks: list[dict] = [] + if v == "POSITIVE" and sid in PARAM_TWEAKS: + for i, tw in enumerate(PARAM_TWEAKS[sid], 1): + ov = {**on_ov, **tw} + body = patch_set(BASE_SET, ov) + r = run_backtest( + ctx["data"], ctx["mt5_path"], ctx["login"], ctx["server"], + body, f"solo_{sid}_tw{i}.set", f"solo_{sid}_tw{i}", + test_symbol=ts, + ) + tweaks.append({"tweak": tw, "metrics": r}) + print(f" tweak{i} net={r.get('net_profit')} sharpe={r.get('sharpe')} " + f"trades={r.get('total_trades')}", flush=True) + + lot_key = spec["lot"] + lot_val = lots.get(lot_key) + if lot_val is None and lot_key in base_params: + lot_val = base_params[lot_key].value + + return { + "id": sid, + "name": spec["name"], + "enable": spec["enable"], + "close_key": spec["close"], + "lot_key": lot_key, + "lot_value": lot_val, + "close_off": off, + "close_on": on, + "delta": d, + "verdict": v, + "margin_ok_off": margin_ok(off), + "margin_ok_on": margin_ok(on), + "param_tweaks": tweaks, + "recommend_close_on": v == "POSITIVE", + } + + +def delta_metrics(off: dict, on: dict) -> dict: + def g(d, k): + v = d.get(k) + return v if v is not None else 0 + + return { + "net_profit_delta": g(on, "net_profit") - g(off, "net_profit"), + "pf_delta": (g(on, "profit_factor") - g(off, "profit_factor")), + "sharpe_delta": g(on, "sharpe") - g(off, "sharpe"), + "trades_delta": g(on, "total_trades") - g(off, "total_trades"), + } + + +def verdict(delta: dict, off: dict, on: dict) -> str: + if not off.get("ready") or not on.get("ready"): + return "BROKEN" + if off.get("total_trades", 0) == 0 and on.get("total_trades", 0) == 0: + return "NO_TRADES" + if delta["net_profit_delta"] > 50 and delta["sharpe_delta"] >= 0: + return "POSITIVE" + if delta["net_profit_delta"] < -50 or delta["sharpe_delta"] < -0.1: + return "NEGATIVE" + return "NEUTRAL" + + +def margin_ok(m: dict) -> bool: + ml = m.get("min_margin_level") + if not ml: + return True + if isinstance(ml, str) and "%" in ml: + try: + return float(ml.replace("%", "").strip()) >= 100.0 + except ValueError: + return True + return True + + +def run_combo(ctx: dict, winners: list[dict], base_params: dict) -> dict: + """Combo: enable all strategies that benefit from close-on, with flag set.""" + overrides: dict = {k: False for k in ALL_ENABLE_KEYS} + overrides["GAP_Enable"] = False + for w in winners: + overrides[w["enable"]] = True + overrides[w["close_key"]] = True + for spec in UNITED_MT5_STRATEGIES: + if spec["enable"] not in overrides or not overrides[spec["enable"]]: + continue + if spec["id"] not in {w["id"] for w in winners}: + overrides[spec["close_key"]] = False + + body = patch_set(BASE_SET, overrides) + m = run_backtest( + ctx["data"], ctx["mt5_path"], ctx["login"], ctx["server"], + body, "combo_close_winners.set", "combo_close_winners", + ) + return {"members": [w["id"] for w in winners], "metrics": m} + + +def main() -> int: + p = argparse.ArgumentParser() + p.add_argument("--only", default=None) + p.add_argument("--from", dest="from_id", default=None) + p.add_argument("--production", action="store_true", help="Only PRODUCTION_IDS (19 strategies)") + p.add_argument("--combo", action="store_true") + p.add_argument("--enabled-only", action="store_true", help="Only strategies enabled in 123.set") + args = p.parse_args() + + OUT.mkdir(parents=True, exist_ok=True) + base_params = parse_set_file(BASE_SET) + lots = load_best_lots() + sm = {s["id"]: s for s in UNITED_MT5_STRATEGIES} + + if args.production: + strategies = [sm[sid] for sid in PRODUCTION_IDS if sid in sm] + elif args.enabled_only: + strategies = [ + s for s in UNITED_MT5_STRATEGIES + if base_params.get(s["enable"], type("x", (), {"value": False})).value + ] + else: + strategies = list(UNITED_MT5_STRATEGIES) + + if args.only: + strategies = [s for s in strategies if s["id"] == args.only] + elif args.from_id: + found = False + filtered = [] + for s in strategies: + if s["id"] == args.from_id: + found = True + if found: + filtered.append(s) + strategies = filtered if found else strategies + + print(f"United EA close-signal audit | {len(strategies)} strategies | lots={len(lots)}") + import cluster_audit.united_mt5_runner as runner + runner.DEPOSIT = int(REF_BALANCE) + ctx = mt5_context() + print(f"MT5 server={ctx['server']} (account from local terminal)") + deploy_united(ctx["data"], ctx["mt5_path"]) + print("Compiled main.ex5 OK") + + results: list[dict] = [] + for spec in strategies: + try: + results.append(audit_one(ctx, spec, base_params, lots)) + except Exception as ex: + print(f" ERROR {spec['id']}: {ex}", flush=True) + results.append({"id": spec["id"], "error": str(ex), "verdict": "ERROR"}) + + positive = [r for r in results if r.get("verdict") == "POSITIVE"] + negative = [r for r in results if r.get("verdict") == "NEGATIVE"] + broken = [r for r in results if r.get("verdict") in ("BROKEN", "NO_TRADES", "ERROR")] + + combo_result = None + if args.combo and positive: + combo_result = run_combo(ctx, positive, base_params) + print(f"\nCOMBO winners ({len(positive)}): net={combo_result['metrics'].get('net_profit')} " + f"sharpe={combo_result['metrics'].get('sharpe')}") + + summary = { + "generated": datetime.now().isoformat(), + "base_set": str(BASE_SET), + "positive_close_on": [r["id"] for r in positive], + "negative_close_on": [r["id"] for r in negative], + "broken": [r["id"] for r in broken], + "results": results, + "combo": combo_result, + } + out_path = OUT / "summary.json" + out_path.write_text(json.dumps(summary, indent=2, default=str), encoding="utf-8") + print(f"\nSaved {out_path}") + print(f"POSITIVE ({len(positive)}): {[r['id'] for r in positive]}") + print(f"NEGATIVE ({len(negative)}): {[r['id'] for r in negative]}") + print(f"BROKEN ({len(broken)}): {[r['id'] for r in broken]}") + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/backtesting/MT5/cluster_audit/run_disabled_audit.py b/backtesting/MT5/cluster_audit/run_disabled_audit.py new file mode 100644 index 0000000..db8c428 --- /dev/null +++ b/backtesting/MT5/cluster_audit/run_disabled_audit.py @@ -0,0 +1,198 @@ +#!/usr/bin/env python3 +""" +Solo MT5 audit for all currently-disabled sub-strategies (main.mq5 enable=false). + +Finds profitable passers to add to the cluster; compares enhanced portfolio vs production baseline. + +Usage: + python -m cluster_audit.run_disabled_audit + python -m cluster_audit.run_disabled_audit --min-trades 40 +""" + +from __future__ import annotations + +import argparse +import json +import re +import sys +from datetime import datetime +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) + +from cluster_audit.united_mt5_manifest import ( + ALL_ENABLE_KEYS, + HIGH_MARGIN_STOCK_ENABLES, + PRODUCTION_IDS, + UNITED_MT5_STRATEGIES, +) +from cluster_audit.united_mt5_runner import ( + BASE_SET, + CLUSTER, + FROM_DATE, + TO_DATE, + deploy_united, + mt5_context, + patch_set, + run_backtest, +) + +OUT = Path(__file__).resolve().parent / "reports" / "disabled_audit" +REF_BALANCE = 3000.0 + + +def g(m: dict, k: str) -> float: + v = m.get(k) + return float(v) if v is not None else 0.0 + + +def parse_dd_pct(dd: str | None) -> float | None: + if not dd: + return None + m = re.search(r"([\d.]+)\s*%", dd.replace(",", "")) + return float(m.group(1)) if m else None + + +def disabled_ids_from_mq5() -> list[str]: + text = (CLUSTER / "main.mq5").read_text(encoding="utf-8") + off: set[str] = set() + for m in re.finditer(r"input bool (Enable\w+) = false", text): + off.add(m.group(1)) + for key in HIGH_MARGIN_STOCK_ENABLES: + off.discard(key) + ids: list[str] = [] + for s in UNITED_MT5_STRATEGIES: + if s["enable"] in off: + ids.append(s["id"]) + return ids + + +def common_patches() -> dict[str, float | bool]: + return { + "ORCH_ReferenceBalance": REF_BALANCE, + "ORCH_ScaleLotsByBalance": True, + "GAP_Enable": False, + "OPT_GuardOptimizationMode": True, + } + + +def production_enables() -> dict[str, bool]: + prod = set(PRODUCTION_IDS) + o: dict[str, bool] = {} + for s in UNITED_MT5_STRATEGIES: + o[s["enable"]] = s["id"] in prod + for key in HIGH_MARGIN_STOCK_ENABLES: + o[key] = False + return o + + +def solo_overrides(spec: dict) -> dict[str, bool]: + o: dict[str, bool] = {k: False for k in ALL_ENABLE_KEYS} + o[spec["enable"]] = True + return o + + +def classify(m: dict, min_trades: int) -> str: + if not m.get("ready"): + return "BROKEN" + trades = int(m.get("total_trades") or 0) + if trades < min_trades: + return "LOW_TRADES" + if g(m, "net_profit") > 0 and g(m, "profit_factor") >= 1.05: + return "PASS" + if g(m, "net_profit") > 50 and g(m, "profit_factor") >= 1.0: + return "MARGINAL" + return "FAIL" + + +def main() -> None: + p = argparse.ArgumentParser() + p.add_argument("--from", dest="from_date", default=FROM_DATE) + p.add_argument("--to", dest="to_date", default=TO_DATE) + p.add_argument("--min-trades", type=int, default=60) + args = p.parse_args() + + import cluster_audit.united_mt5_runner as runner + + runner.FROM_DATE = args.from_date.replace("-", ".") + runner.TO_DATE = args.to_date.replace("-", ".") + runner.DEPOSIT = int(REF_BALANCE) + + sm = {s["id"]: s for s in UNITED_MT5_STRATEGIES} + disabled = disabled_ids_from_mq5() + OUT.mkdir(parents=True, exist_ok=True) + + ctx = mt5_context() + deploy_united(ctx["data"], ctx["mt5_path"]) + + print( + f"Disabled audit n={len(disabled)} production={PRODUCTION_IDS} " + f"{runner.FROM_DATE}->{runner.TO_DATE}", + flush=True, + ) + + prod_ov = {**common_patches(), **production_enables()} + baseline = run_backtest( + ctx["data"], ctx["mt5_path"], ctx["login"], ctx["server"], + patch_set(BASE_SET, prod_ov), "dis_prod_baseline.set", "dis_prod_baseline", + ) + print( + f"PROD baseline PF={baseline.get('profit_factor')} net={baseline.get('net_profit')} " + f"sharpe={baseline.get('sharpe')} dd={baseline.get('max_drawdown')}", + flush=True, + ) + + solo_rows: list[dict] = [] + passed_ids: list[str] = [] + + for sid in disabled: + spec = sm[sid] + m = run_backtest( + ctx["data"], ctx["mt5_path"], ctx["login"], ctx["server"], + patch_set(BASE_SET, {**common_patches(), **solo_overrides(spec)}), + f"dis_solo_{sid}.set", f"dis_solo_{sid}", + test_symbol=spec.get("test_symbol"), + ) + verdict = classify(m, args.min_trades) + dd_pct = parse_dd_pct(m.get("max_drawdown")) + print( + f" {sid:12} {verdict:10} PF={m.get('profit_factor')} net={m.get('net_profit')} " + f"sharpe={m.get('sharpe')} trades={m.get('total_trades')} dd={m.get('max_drawdown')}", + flush=True, + ) + row = {"id": sid, "enable": spec["enable"], "verdict": verdict, "dd_pct": dd_pct, "metrics": m} + solo_rows.append(row) + if verdict in ("PASS", "MARGINAL"): + passed_ids.append(sid) + + enhanced_ov = dict(prod_ov) + for sid in passed_ids: + enhanced_ov[sm[sid]["enable"]] = True + enhanced = run_backtest( + ctx["data"], ctx["mt5_path"], ctx["login"], ctx["server"], + patch_set(BASE_SET, enhanced_ov), "dis_enhanced.set", "dis_enhanced", + ) + print( + f"ENHANCED +{len(passed_ids)} PF={enhanced.get('profit_factor')} net={enhanced.get('net_profit')} " + f"sharpe={enhanced.get('sharpe')} dd={enhanced.get('max_drawdown')}", + flush=True, + ) + print(f"PASS/MARGINAL: {passed_ids}", flush=True) + + summary = { + "timestamp": datetime.now().isoformat(timespec="seconds"), + "period": {"from": runner.FROM_DATE, "to": runner.TO_DATE}, + "min_trades": args.min_trades, + "disabled_ids": disabled, + "production_baseline": baseline, + "solo": solo_rows, + "passed_ids": passed_ids, + "enhanced": enhanced, + } + path = OUT / "disabled_audit_summary.json" + path.write_text(json.dumps(summary, indent=2), encoding="utf-8") + print(f"Saved {path}", flush=True) + + +if __name__ == "__main__": + main() diff --git a/backtesting/MT5/cluster_audit/run_hedge_audit.py b/backtesting/MT5/cluster_audit/run_hedge_audit.py new file mode 100644 index 0000000..9698ce4 --- /dev/null +++ b/backtesting/MT5/cluster_audit/run_hedge_audit.py @@ -0,0 +1,233 @@ +#!/usr/bin/env python3 +""" +Symbol mining audit for cluster-latest (round 2 = indices, round 3 = low-margin stocks). + +Baseline = 123.set + survivors only; solo each candidate round; enhanced = baseline + passers. + +Usage: + python -m cluster_audit.run_hedge_audit --round 2 + python -m cluster_audit.run_hedge_audit --round 3 +""" + +from __future__ import annotations + +import argparse +import json +import sys +from datetime import datetime +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) + +from cluster_audit.united_mt5_manifest import ( + ALL_ENABLE_KEYS, + EXPANSION_RETIRED_IDS, + HIGH_MARGIN_STOCK_ENABLES, + ROUND2_IDS, + ROUND3_IDS, + SURVIVOR_IDS, + UNITED_MT5_STRATEGIES, +) +from cluster_audit.united_mt5_runner import ( + BASE_SET, + FROM_DATE, + TO_DATE, + deploy_united, + mt5_context, + patch_set, + run_backtest, +) + +OUT = Path(__file__).resolve().parent / "reports" / "hedge_audit" + +MIN_TRADES_DEFAULT = 60 + +ROUND_CONFIG = { + 2: {"candidate_ids": ROUND2_IDS, "prefix": "r2"}, + 3: {"candidate_ids": ROUND3_IDS, "prefix": "r3"}, +} + + +def g(m: dict, k: str) -> float: + v = m.get(k) + return float(v) if v is not None else 0.0 + + +def spec_map() -> dict[str, dict]: + return {s["id"]: s for s in UNITED_MT5_STRATEGIES} + + +def candidate_ids_for_round(round_num: int) -> tuple[str, ...]: + return ROUND_CONFIG[round_num]["candidate_ids"] + + +def baseline_overrides(round_num: int) -> dict[str, bool]: + o: dict[str, bool] = {} + retired = set(EXPANSION_RETIRED_IDS) + survivors = set(SURVIVOR_IDS) + candidates = set(candidate_ids_for_round(round_num)) + all_candidates = set(ROUND2_IDS) | set(ROUND3_IDS) + + for s in UNITED_MT5_STRATEGIES: + sid = s["id"] + if sid in retired: + o[s["enable"]] = False + elif sid in survivors: + o[s["enable"]] = True + elif sid in all_candidates and sid not in candidates: + o[s["enable"]] = False + elif sid in candidates: + o[s["enable"]] = False + + for key in HIGH_MARGIN_STOCK_ENABLES: + o[key] = False + + o["GAP_Enable"] = False + o["OPT_GuardOptimizationMode"] = True + return o + + +def solo_overrides(spec: dict) -> dict: + o: dict[str, bool] = {k: False for k in ALL_ENABLE_KEYS} + o[spec["enable"]] = True + for key in HIGH_MARGIN_STOCK_ENABLES: + o[key] = False + o["GAP_Enable"] = False + o["OPT_GuardOptimizationMode"] = True + return o + + +def classify_solo(m: dict, min_trades: int) -> str: + if not m.get("ready"): + return "BROKEN" + trades = int(m.get("total_trades", 0) or 0) + if trades < min_trades: + return "LOW_TRADES" + if g(m, "net_profit") > 0 and g(m, "profit_factor") >= 1.05: + return "PASS" + if g(m, "net_profit") > 50 and g(m, "profit_factor") >= 1.0: + return "MARGINAL" + return "FAIL" + + +def delta(base: dict, var: dict) -> dict: + return { + "net_profit_delta": g(var, "net_profit") - g(base, "net_profit"), + "sharpe_delta": g(var, "sharpe") - g(base, "sharpe"), + "pf_delta": g(var, "profit_factor") - g(base, "profit_factor"), + "trades_delta": int(g(var, "total_trades") - g(base, "total_trades")), + } + + +def portfolio_verdict(d: dict) -> str: + if d["net_profit_delta"] > 100 and d["sharpe_delta"] >= -0.05: + return "IMPROVED" + if d["net_profit_delta"] < -150 or d["sharpe_delta"] < -0.15: + return "WORSE" + return "NEUTRAL" + + +def main() -> None: + p = argparse.ArgumentParser() + p.add_argument("--from", dest="from_date", default=FROM_DATE) + p.add_argument("--to", dest="to_date", default=TO_DATE) + p.add_argument("--min-trades", type=int, default=MIN_TRADES_DEFAULT) + p.add_argument("--round", type=int, default=3, choices=(2, 3)) + args = p.parse_args() + + import cluster_audit.united_mt5_runner as runner + + runner.FROM_DATE = args.from_date.replace("-", ".") + runner.TO_DATE = args.to_date.replace("-", ".") + + cfg = ROUND_CONFIG[args.round] + prefix = cfg["prefix"] + candidates = cfg["candidate_ids"] + + OUT.mkdir(parents=True, exist_ok=True) + ctx = mt5_context() + deploy_united(ctx["data"], ctx["mt5_path"]) + + sm = spec_map() + print( + f"Round {args.round} {runner.FROM_DATE}->{runner.TO_DATE} " + f"min_trades={args.min_trades} survivor={SURVIVOR_IDS} " + f"candidates={candidates}", + flush=True, + ) + + baseline = run_backtest( + ctx["data"], ctx["mt5_path"], ctx["login"], ctx["server"], + patch_set(BASE_SET, baseline_overrides(args.round)), + f"{prefix}_baseline.set", f"{prefix}_baseline", + ) + print( + f"BASELINE PF={baseline.get('profit_factor')} net={baseline.get('net_profit')} " + f"sharpe={baseline.get('sharpe')} trades={baseline.get('total_trades')}", + flush=True, + ) + + solo_results: list[dict] = [] + passed: list[str] = [] + + for sid in candidates: + spec = sm[sid] + m = run_backtest( + ctx["data"], ctx["mt5_path"], ctx["login"], ctx["server"], + patch_set(BASE_SET, solo_overrides(spec)), + f"{prefix}_solo_{sid}.set", f"{prefix}_solo_{sid}", + test_symbol=spec.get("test_symbol"), + ) + verdict = classify_solo(m, args.min_trades) + print( + f"SOLO {sid:10} {verdict:10} PF={m.get('profit_factor')} net={m.get('net_profit')} " + f"sharpe={m.get('sharpe')} trades={m.get('total_trades')}", + flush=True, + ) + solo_results.append({"id": sid, "verdict": verdict, "metrics": m}) + if verdict in ("PASS", "MARGINAL"): + passed.append(spec["enable"]) + + enhanced_ov = baseline_overrides(args.round) + for sid in candidates: + spec = sm[sid] + if spec["enable"] in passed: + enhanced_ov[spec["enable"]] = True + + enhanced = run_backtest( + ctx["data"], ctx["mt5_path"], ctx["login"], ctx["server"], + patch_set(BASE_SET, enhanced_ov), + f"{prefix}_enhanced.set", f"{prefix}_enhanced", + ) + d = delta(baseline, enhanced) + pv = portfolio_verdict(d) + print( + f"ENHANCED {pv} PF={enhanced.get('profit_factor')} net={enhanced.get('net_profit')} " + f"sharpe={enhanced.get('sharpe')} trades={enhanced.get('total_trades')} " + f"dNet={d['net_profit_delta']:.0f} dSharpe={d['sharpe_delta']:.3f}", + flush=True, + ) + print(f"PASSED ({len(passed)}): {', '.join(passed)}", flush=True) + + summary = { + "timestamp": datetime.now().isoformat(timespec="seconds"), + "round": args.round, + "survivors": list(SURVIVOR_IDS), + "candidates": list(candidates), + "high_margin_disabled": list(HIGH_MARGIN_STOCK_ENABLES), + "period": {"from": runner.FROM_DATE, "to": runner.TO_DATE}, + "min_trades": args.min_trades, + "baseline": baseline, + "solo": solo_results, + "passed_enables": passed, + "enhanced": enhanced, + "delta": d, + "portfolio_verdict": pv, + } + out_path = OUT / f"round{args.round}_audit_summary.json" + out_path.write_text(json.dumps(summary, indent=2), encoding="utf-8") + print(f"Saved {out_path}", flush=True) + + +if __name__ == "__main__": + main() diff --git a/backtesting/MT5/cluster_audit/run_lot_genetic.py b/backtesting/MT5/cluster_audit/run_lot_genetic.py new file mode 100644 index 0000000..095de1a --- /dev/null +++ b/backtesting/MT5/cluster_audit/run_lot_genetic.py @@ -0,0 +1,322 @@ +#!/usr/bin/env python3 +""" +MT5 genetic lot optimization — one production sub-strategy at a time. + +Ranges: + stock → 5..15 step 5 + other → 0.01..0.1 step 0.01 + +Usage: + python -m cluster_audit.run_lot_genetic + python -m cluster_audit.run_lot_genetic --only RS_NVDA + python -m cluster_audit.run_lot_genetic --apply + python -m cluster_audit.run_lot_genetic --resume # skip ids already in summary +""" + +from __future__ import annotations + +import argparse +import json +import re +import sys +import time +from datetime import datetime +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) + +from cluster_audit.united_mt5_manifest import ( + ALL_ENABLE_KEYS, + HIGH_MARGIN_STOCK_ENABLES, + LOT_CLASS_BY_ID, + LOT_GENETIC_RANGE, + PRODUCTION_IDS, + UNITED_MT5_STRATEGIES, +) +from cluster_audit.united_mt5_runner import ( + BASE_SET, + CLUSTER, + DEPOSIT, + FROM_DATE, + TO_DATE, + deploy_united, + mt5_context, + patch_set, + patch_set_for_lot_genetic, + run_backtest, + run_genetic_lot_optimize, +) + +OUT = Path(__file__).resolve().parent / "reports" / "lot_genetic" +REF_BALANCE = 3000.0 +SUMMARY_PATH = OUT / "lot_genetic_summary.json" + + +def lot_class(sid: str) -> str: + return LOT_CLASS_BY_ID.get(sid, "forex") + + +def genetic_range(sid: str) -> tuple[float, float, float]: + if lot_class(sid) == "stock": + return LOT_GENETIC_RANGE["stock"] + return LOT_GENETIC_RANGE["default"] + + +def common_patches() -> dict[str, float | bool]: + o: dict[str, float | bool] = { + "ORCH_ReferenceBalance": REF_BALANCE, + "ORCH_ScaleLotsByBalance": True, + "GAP_Enable": False, + "OPT_GuardOptimizationMode": True, + } + for key in HIGH_MARGIN_STOCK_ENABLES: + o[key] = False + return o + + +def solo_overrides(spec: dict) -> dict[str, bool]: + o: dict[str, bool] = {k: False for k in ALL_ENABLE_KEYS} + o[spec["enable"]] = True + return o + + +def apply_lots_to_mq5(text: str, lots: dict[str, float]) -> str: + for key, val in lots.items(): + sval = str(int(val)) if val == int(val) else str(val) + text, _ = re.subn( + rf"(input double {re.escape(key)} = )[0-9.]+;", + rf"\g<1>{sval};", + text, + count=1, + ) + text, _ = re.subn( + r"(input double ORCH_ReferenceBalance = )[0-9.]+;", + rf"\g<1>{REF_BALANCE};", + text, + count=1, + ) + return text + + +def apply_lots_to_set_text(text: str, lots: dict[str, float]) -> str: + lines_out: list[str] = [] + for line in text.splitlines(): + if "=" not in line or line.strip().startswith(";"): + lines_out.append(line) + continue + key = line.split("=", 1)[0].strip() + if key in lots: + val = lots[key] + sval = str(int(val)) if val == int(val) else str(val) + if "||" in line: + parts = line.split("||") + parts[0] = f"{key}={sval}" + lines_out.append("||".join(parts)) + else: + lines_out.append(f"{key}={sval}") + else: + lines_out.append(line) + return "\n".join(lines_out) + "\n" + + +def load_summary() -> dict: + if SUMMARY_PATH.exists(): + return json.loads(SUMMARY_PATH.read_text(encoding="utf-8")) + return {"results": [], "best_lots": {}} + + +def save_summary(summary: dict) -> None: + OUT.mkdir(parents=True, exist_ok=True) + SUMMARY_PATH.write_text(json.dumps(summary, indent=2), encoding="utf-8") + + +def run_backtest_with_retry( + ctx: dict, + set_body: str, + set_name: str, + report: str, + *, + test_symbol: str | None = None, + retries: int = 3, +) -> dict: + last: dict = {"ready": False} + for attempt in range(retries): + if attempt: + time.sleep(12) + last = run_backtest( + ctx["data"], ctx["mt5_path"], ctx["login"], ctx["server"], + set_body, set_name, report, test_symbol=test_symbol, + ) + if last.get("ready"): + return last + return last + + +def lot_report_tag(lot: float) -> str: + return str(int(lot)) if lot == int(lot) else str(lot).replace(".", "p") + + +def optimize_one(ctx: dict, spec: dict, *, opt_mode: int, grid_only: bool) -> dict: + sid = spec["id"] + lot_key = spec["lot"] + start, step, stop = genetic_range(sid) + ov = {**common_patches(), **solo_overrides(spec)} + report = f"lotgen_{sid}" + + print( + f"\n[{sid}] lot sweep {lot_key} range={start}..{stop} step={step} " + f"symbol={spec.get('test_symbol') or 'NAS100'}", + flush=True, + ) + + if not grid_only: + body = patch_set_for_lot_genetic(BASE_SET, ov, lot_key, start, step, stop) + m = run_genetic_lot_optimize( + ctx["data"], ctx["mt5_path"], ctx["login"], ctx["server"], + body, f"{report}.set", report, lot_key, + test_symbol=spec.get("test_symbol"), + optimization=opt_mode, + ) + best_lot = m.get("best_lot") + if m.get("ready") and best_lot is not None: + print( + f" BEST lot={best_lot} PF={m.get('profit_factor')} net={m.get('profit')} " + f"sharpe={m.get('sharpe')} trades={m.get('trades')} passes={m.get('passes')} " + f"({m.get('elapsed_sec')}s)", + flush=True, + ) + return { + "id": sid, + "lot_key": lot_key, + "lot_class": lot_class(sid), + "range": {"start": start, "step": step, "stop": stop}, + "best_lot": best_lot, + "metrics": m, + } + print(f" genetic XML miss ({m.get('error')}) — grid sweep", flush=True) + + from cluster_audit.united_mt5_manifest import LOT_GRIDS + + grid = LOT_GRIDS["stock"] if lot_class(sid) == "stock" else LOT_GRIDS["forex"] + best_sc, best_lot, best_m = -1e18, grid[0], {} + t0 = time.time() + for lot in grid: + tag = lot_report_tag(lot) + ov2 = {**ov, lot_key: lot} + bm = run_backtest_with_retry( + ctx, + patch_set(BASE_SET, ov2), f"lot_{sid}_{tag}.set", f"lot_{sid}_{tag}", + test_symbol=spec.get("test_symbol"), + ) + if not bm.get("ready"): + print(f" lot={lot} FAILED (no report)", flush=True) + continue + trades = int(bm.get("total_trades") or 0) + profit = float(bm.get("net_profit") or 0) + pf = float(bm.get("profit_factor") or 0) + sharpe = float(bm.get("sharpe") or 0) + if trades < 20 or pf < 1.0 or profit <= 0: + sc = -1e10 + profit + else: + sc = sharpe * 2000 + profit / 500 + pf * 50 + print( + f" lot={lot} PF={pf} net={profit} sharpe={sharpe} trades={trades}", + flush=True, + ) + if sc > best_sc: + best_sc, best_lot, best_m = sc, lot, bm + elapsed = round(time.time() - t0, 1) + best_m = {**best_m, "best_lot": best_lot, "method": "grid", "elapsed_sec": elapsed} + print( + f" BEST lot={best_lot} PF={best_m.get('profit_factor')} net={best_m.get('net_profit')} " + f"sharpe={best_m.get('sharpe')} trades={best_m.get('total_trades')} ({elapsed}s)", + flush=True, + ) + return { + "id": sid, + "lot_key": lot_key, + "lot_class": lot_class(sid), + "range": {"start": start, "step": step, "stop": stop}, + "best_lot": best_lot, + "metrics": best_m, + } + + +def main() -> None: + p = argparse.ArgumentParser() + p.add_argument("--from", dest="from_date", default=FROM_DATE) + p.add_argument("--to", dest="to_date", default=TO_DATE) + p.add_argument("--only", action="append", default=[]) + p.add_argument("--apply", action="store_true") + p.add_argument("--resume", action="store_true", help="Skip strategies already in summary") + p.add_argument("--redo", action="append", default=[], help="Re-run these ids even if in summary") + p.add_argument("--mode", choices=("genetic", "complete", "grid"), default="grid", + help="grid=direct lot sweep (default); genetic=try MT5 genetic first") + args = p.parse_args() + + import cluster_audit.united_mt5_runner as runner + + runner.FROM_DATE = args.from_date.replace("-", ".") + runner.TO_DATE = args.to_date.replace("-", ".") + runner.DEPOSIT = int(REF_BALANCE) + + opt_mode = 2 if args.mode == "genetic" else 1 + grid_only = args.mode == "grid" + ids = args.only if args.only else list(PRODUCTION_IDS) + sm = {s["id"]: s for s in UNITED_MT5_STRATEGIES} + + summary = load_summary() if args.resume else {"results": [], "best_lots": {}} + done_ids = set() + if args.resume: + for r in summary.get("results", []): + m = r.get("metrics") or {} + if m.get("ready") and r["id"] not in args.redo: + done_ids.add(r["id"]) + + ctx = mt5_context() + deploy_united(ctx["data"], ctx["mt5_path"]) + + print( + f"Lot genetic deposit={DEPOSIT} ref={REF_BALANCE} " + f"{runner.FROM_DATE}->{runner.TO_DATE} mode={args.mode} n={len(ids)}", + flush=True, + ) + + for sid in ids: + if sid not in sm: + print(f"skip unknown {sid}", flush=True) + continue + if sid in done_ids and sid not in args.redo: + print(f"skip done {sid}", flush=True) + continue + r = optimize_one(ctx, sm[sid], opt_mode=opt_mode, grid_only=grid_only) + summary["results"] = [x for x in summary.get("results", []) if x["id"] != sid] + [r] + summary["best_lots"][r["lot_key"]] = r["best_lot"] + summary["timestamp"] = datetime.now().isoformat(timespec="seconds") + summary["period"] = {"from": runner.FROM_DATE, "to": runner.TO_DATE} + save_summary(summary) + + print(f"\nSaved {SUMMARY_PATH}", flush=True) + for r in summary["results"]: + print( + f" {r['id']:12} {r['lot_key']}={r['best_lot']} " + f"PF={r['metrics'].get('profit_factor')} sharpe={r['metrics'].get('sharpe')}", + flush=True, + ) + + if args.apply and summary.get("best_lots"): + mq5_path = CLUSTER / "main.mq5" + set_path = CLUSTER / "123.set" + mq5_path.write_text( + apply_lots_to_mq5(mq5_path.read_text(encoding="utf-8"), summary["best_lots"]), + encoding="utf-8", + ) + set_path.write_text( + apply_lots_to_set_text(set_path.read_text(encoding="utf-8"), summary["best_lots"]), + encoding="utf-8", + ) + print(f"Applied to {mq5_path} and {set_path}", flush=True) + + +if __name__ == "__main__": + main() diff --git a/backtesting/MT5/cluster_audit/run_lot_optimize.py b/backtesting/MT5/cluster_audit/run_lot_optimize.py new file mode 100644 index 0000000..ba09ed7 --- /dev/null +++ b/backtesting/MT5/cluster_audit/run_lot_optimize.py @@ -0,0 +1,317 @@ +#!/usr/bin/env python3 +""" +MT5 lot-size sweep per production sub-strategy, then combined portfolio. + +Constraints: + - ORCH_ReferenceBalance = 3000 (deposit also 3000) + - Stock lots capped at 15 shares + +Usage: + python -m cluster_audit.run_lot_optimize + python -m cluster_audit.run_lot_optimize --only RS_NVDA + python -m cluster_audit.run_lot_optimize --apply +""" + +from __future__ import annotations + +import argparse +import json +import re +import sys +from datetime import datetime +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) + +from cluster_audit.united_mt5_manifest import ( + ALL_ENABLE_KEYS, + HIGH_MARGIN_STOCK_ENABLES, + LOT_CLASS_BY_ID, + LOT_GRIDS, + PRODUCTION_IDS, + UNITED_MT5_STRATEGIES, +) +from cluster_audit.united_mt5_runner import ( + BASE_SET, + CLUSTER, + DEPOSIT, + FROM_DATE, + TO_DATE, + deploy_united, + mt5_context, + patch_set, + run_backtest, +) + +OUT = Path(__file__).resolve().parent / "reports" / "lot_optimize" +STOCK_LOT_MAX = 15.0 +REF_BALANCE = 3000.0 +MIN_TRADES = 20 + + +def g(m: dict, k: str) -> float: + v = m.get(k) + return float(v) if v is not None else 0.0 + + +def spec_map() -> dict[str, dict]: + return {s["id"]: s for s in UNITED_MT5_STRATEGIES} + + +def lot_class(sid: str) -> str: + return LOT_CLASS_BY_ID.get(sid, "forex") + + +def lot_grid(sid: str) -> list[float]: + cls = lot_class(sid) + grid = list(LOT_GRIDS.get(cls, LOT_GRIDS["forex"])) + if cls == "stock": + grid = [x for x in grid if x <= STOCK_LOT_MAX] + return grid + + +def score(m: dict) -> float: + if not m.get("ready"): + return -1e12 + trades = int(m.get("total_trades") or 0) + if trades < MIN_TRADES: + return -1e11 + trades + net = g(m, "net_profit") + pf = g(m, "profit_factor") + sharpe = g(m, "sharpe") + if net <= 0 or pf < 1.0: + return -1e10 + net + return sharpe * 2000.0 + net / 500.0 + pf * 50.0 + + +def common_patches() -> dict[str, float | bool]: + o: dict[str, float | bool] = { + "ORCH_ReferenceBalance": REF_BALANCE, + "ORCH_ScaleLotsByBalance": True, + "GAP_Enable": False, + "OPT_GuardOptimizationMode": True, + } + for key in HIGH_MARGIN_STOCK_ENABLES: + o[key] = False + return o + + +def production_enables() -> dict[str, bool]: + prod = set(PRODUCTION_IDS) + o: dict[str, bool] = {} + for s in UNITED_MT5_STRATEGIES: + o[s["enable"]] = s["id"] in prod + return o + + +def solo_overrides(spec: dict) -> dict[str, bool]: + o: dict[str, bool] = {k: False for k in ALL_ENABLE_KEYS} + o[spec["enable"]] = True + return o + + +def apply_lots_to_set_text(text: str, lots: dict[str, float]) -> str: + lines_out: list[str] = [] + for line in text.splitlines(): + if "=" not in line or line.strip().startswith(";"): + lines_out.append(line) + continue + key = line.split("=", 1)[0].strip() + if key in lots: + val = lots[key] + sval = str(int(val)) if val == int(val) else str(val) + if "||" in line: + parts = line.split("||") + parts[0] = f"{key}={sval}" + lines_out.append("||".join(parts)) + else: + lines_out.append(f"{key}={sval}") + else: + lines_out.append(line) + for key, val in lots.items(): + if not any(l.startswith(f"{key}=") for l in lines_out): + sval = str(int(val)) if val == int(val) else str(val) + lines_out.append(f"{key}={sval}||{sval}||0||{sval}||N") + return "\n".join(lines_out) + "\n" + + +def apply_lots_to_mq5(text: str, lots: dict[str, float]) -> str: + for key, val in lots.items(): + sval = str(int(val)) if val == int(val) else str(val) + text, n = re.subn( + rf"(input double {re.escape(key)} = )[0-9.]+;", + rf"\g<1>{sval};", + text, + count=1, + ) + if n == 0: + print(f" warn: {key} not found in main.mq5", flush=True) + text, n = re.subn( + r"(input double ORCH_ReferenceBalance = )[0-9.]+;", + rf"\g<1>{REF_BALANCE};", + text, + count=1, + ) + return text + + +def optimize_one(ctx: dict, spec: dict, sm: dict[str, dict]) -> dict: + sid = spec["id"] + lot_key = spec["lot"] + grid = lot_grid(sid) + print(f"\n[{sid}] grid={grid} class={lot_class(sid)}", flush=True) + + best_lot = grid[0] + best_m: dict = {"ready": False} + best_sc = -1e12 + trials: list[dict] = [] + + for lot in grid: + ov: dict = {**common_patches(), **solo_overrides(spec), lot_key: lot} + body = patch_set(BASE_SET, ov) + m = run_backtest( + ctx["data"], ctx["mt5_path"], ctx["login"], ctx["server"], + body, f"lot_{sid}_{lot}.set", f"lot_{sid}_{lot}", + test_symbol=spec.get("test_symbol"), + ) + sc = score(m) + trials.append({"lot": lot, "score": sc, "metrics": m}) + print( + f" lot={lot:6} sc={sc:10.1f} PF={m.get('profit_factor')} " + f"net={m.get('net_profit')} sharpe={m.get('sharpe')} trades={m.get('total_trades')}", + flush=True, + ) + if sc > best_sc: + best_sc = sc + best_lot = lot + best_m = m + + return { + "id": sid, + "lot_key": lot_key, + "lot_class": lot_class(sid), + "best_lot": best_lot, + "best_score": best_sc, + "best_metrics": best_m, + "trials": trials, + } + + +def main() -> None: + p = argparse.ArgumentParser() + p.add_argument("--from", dest="from_date", default=FROM_DATE) + p.add_argument("--to", dest="to_date", default=TO_DATE) + p.add_argument("--only", action="append", default=[], help="Strategy id(s) to optimize") + p.add_argument("--apply", action="store_true", help="Write best lots to main.mq5 and 123.set") + args = p.parse_args() + + import cluster_audit.united_mt5_runner as runner + + runner.FROM_DATE = args.from_date.replace("-", ".") + runner.TO_DATE = args.to_date.replace("-", ".") + runner.DEPOSIT = int(REF_BALANCE) + + OUT.mkdir(parents=True, exist_ok=True) + ctx = mt5_context() + deploy_united(ctx["data"], ctx["mt5_path"]) + sm = spec_map() + + ids = args.only if args.only else list(PRODUCTION_IDS) + print( + f"Lot optimize deposit={DEPOSIT} ref={REF_BALANCE} " + f"{runner.FROM_DATE}->{runner.TO_DATE} n={len(ids)}", + flush=True, + ) + + results: list[dict] = [] + best_lots: dict[str, float] = {} + + for sid in ids: + if sid not in sm: + print(f"skip unknown id {sid}", flush=True) + continue + r = optimize_one(ctx, sm[sid], sm) + results.append(r) + best_lots[r["lot_key"]] = r["best_lot"] + + # Baseline combined (123.set lots + production enables) + base_ov: dict = {**common_patches(), **production_enables()} + baseline = run_backtest( + ctx["data"], ctx["mt5_path"], ctx["login"], ctx["server"], + patch_set(BASE_SET, base_ov), + "lot_combined_baseline.set", "lot_combined_baseline", + ) + print( + f"\nCOMBINED baseline PF={baseline.get('profit_factor')} net={baseline.get('net_profit')} " + f"sharpe={baseline.get('sharpe')} trades={baseline.get('total_trades')}", + flush=True, + ) + + opt_ov: dict = {**common_patches(), **production_enables(), **best_lots} + optimized = run_backtest( + ctx["data"], ctx["mt5_path"], ctx["login"], ctx["server"], + patch_set(BASE_SET, opt_ov), + "lot_combined_optimized.set", "lot_combined_optimized", + ) + print( + f"COMBINED optimized PF={optimized.get('profit_factor')} net={optimized.get('net_profit')} " + f"sharpe={optimized.get('sharpe')} trades={optimized.get('total_trades')} " + f"dNet={g(optimized, 'net_profit') - g(baseline, 'net_profit'):.0f} " + f"dSharpe={g(optimized, 'sharpe') - g(baseline, 'sharpe'):.3f}", + flush=True, + ) + + summary = { + "timestamp": datetime.now().isoformat(timespec="seconds"), + "period": {"from": runner.FROM_DATE, "to": runner.TO_DATE}, + "deposit": DEPOSIT, + "reference_balance": REF_BALANCE, + "stock_lot_max": STOCK_LOT_MAX, + "solo": results, + "best_lots": best_lots, + "combined_baseline": baseline, + "combined_optimized": optimized, + "combined_delta": { + "net_profit": g(optimized, "net_profit") - g(baseline, "net_profit"), + "sharpe": g(optimized, "sharpe") - g(baseline, "sharpe"), + "pf": g(optimized, "profit_factor") - g(baseline, "profit_factor"), + }, + } + out_path = OUT / "lot_optimize_summary.json" + out_path.write_text(json.dumps(summary, indent=2), encoding="utf-8") + print(f"\nSaved {out_path}", flush=True) + + print("\nBest lots:", flush=True) + for sid in ids: + if sid not in sm: + continue + row = next(x for x in results if x["id"] == sid) + m = row["best_metrics"] + print( + f" {sid:12} {row['lot_key']}={row['best_lot']} " + f"PF={m.get('profit_factor')} sharpe={m.get('sharpe')} net={m.get('net_profit')}", + flush=True, + ) + + if args.apply: + mq5_path = CLUSTER / "main.mq5" + set_path = CLUSTER / "123.set" + mq5_path.write_text(apply_lots_to_mq5(mq5_path.read_text(encoding="utf-8"), best_lots), encoding="utf-8") + set_path.write_text( + apply_lots_to_set_text(set_path.read_text(encoding="utf-8"), best_lots), + encoding="utf-8", + ) + # Ensure reference balance in set + set_text = set_path.read_text(encoding="utf-8") + set_text = re.sub( + r"ORCH_ReferenceBalance=[^\n]+", + f"ORCH_ReferenceBalance={int(REF_BALANCE)}||{int(REF_BALANCE)}.0||100.000000||10000.000000||N", + set_text, + count=1, + ) + set_path.write_text(set_text, encoding="utf-8") + print(f"Applied lots to {mq5_path} and {set_path}", flush=True) + + +if __name__ == "__main__": + main() diff --git a/backtesting/MT5/cluster_audit/run_prod_lot_refresh.py b/backtesting/MT5/cluster_audit/run_prod_lot_refresh.py new file mode 100644 index 0000000..45efddf --- /dev/null +++ b/backtesting/MT5/cluster_audit/run_prod_lot_refresh.py @@ -0,0 +1,101 @@ +#!/usr/bin/env python3 +"""Lot-opt new production strategies, merge keepers, apply, combined backtest.""" + +from __future__ import annotations + +import json +import sys +from datetime import datetime +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) + +from cluster_audit.run_lot_genetic import ( + SUMMARY_PATH, + apply_lots_to_mq5, + apply_lots_to_set_text, + common_patches, + optimize_one, + save_summary, +) + +from cluster_audit.united_mt5_manifest import UNITED_MT5_STRATEGIES +from cluster_audit.united_mt5_runner import ( + BASE_SET, + CLUSTER, + deploy_united, + mt5_context, + patch_set, + run_backtest, +) + +# Lots from prior genetic run (unchanged strategies) +KEEPER_LOTS: dict[str, float] = { + "LOT_DB_DarvasBox": 0.01, + "LOT_ES_EMASlopeDistance": 0.07, + "LOT_RC_RSICrossOver": 0.1, + "LOT_RM_RSIMidPointHijack": 0.01, + "LOT_RS_NVDA": 5.0, + "LOT_RS_TSLA": 5.0, + "LOT_RRA_AUDUSD": 0.05, + "LOT_UB_USDJPY": 0.03, + "LOT_RS_NAS100": 0.03, + "LOT_UKB_UK100": 0.01, +} + +NEW_OPT_IDS = ( + "RS_BTCUSD", "RS_XAUUSD", "SE", "ST_BTC", "ST_XAU", + "RRA_GBP", "GB", "U5B", "RS_US30", +) + + +def production_enables() -> dict[str, bool]: + from cluster_audit.united_mt5_manifest import ALL_ENABLE_KEYS, HIGH_MARGIN_STOCK_ENABLES, PRODUCTION_IDS + prod = set(PRODUCTION_IDS) + o = {s["enable"]: s["id"] in prod for s in UNITED_MT5_STRATEGIES} + for k in HIGH_MARGIN_STOCK_ENABLES: + o[k] = False + return o + + +def main() -> None: + sm = {s["id"]: s for s in UNITED_MT5_STRATEGIES} + summary = {"results": [], "best_lots": dict(KEEPER_LOTS), "timestamp": datetime.now().isoformat(timespec="seconds")} + save_summary(summary) + + ctx = mt5_context() + deploy_united(ctx["data"], ctx["mt5_path"]) + + print(f"Optimizing {len(NEW_OPT_IDS)} new/changed strategies...", flush=True) + for sid in NEW_OPT_IDS: + r = optimize_one(ctx, sm[sid], opt_mode=1, grid_only=True) + summary["results"].append(r) + summary["best_lots"][r["lot_key"]] = r["best_lot"] + save_summary(summary) + print(f" {sid} -> {r['lot_key']}={r['best_lot']}", flush=True) + + # Apply all production lots + lots = summary["best_lots"] + mq5 = CLUSTER / "main.mq5" + st = CLUSTER / "123.set" + mq5.write_text(apply_lots_to_mq5(mq5.read_text(encoding="utf-8"), lots), encoding="utf-8") + st.write_text(apply_lots_to_set_text(st.read_text(encoding="utf-8"), lots), encoding="utf-8") + print(f"Applied {len(lots)} lots to main.mq5 + 123.set", flush=True) + + ov = {**common_patches(), **production_enables(), **lots} + m = run_backtest( + ctx["data"], ctx["mt5_path"], ctx["login"], ctx["server"], + patch_set(BASE_SET, ov), "prod_v2_combined.set", "prod_v2_combined", + ) + print( + f"\nCOMBINED v2 PF={m.get('profit_factor')} net={m.get('net_profit')} " + f"sharpe={m.get('sharpe')} trades={m.get('total_trades')} dd={m.get('max_drawdown')}", + flush=True, + ) + summary["combined_v2"] = m + save_summary(summary) + print(f"Saved {SUMMARY_PATH}", flush=True) + + +if __name__ == "__main__": + main() diff --git a/backtesting/MT5/cluster_audit/run_sequential.py b/backtesting/MT5/cluster_audit/run_sequential.py new file mode 100644 index 0000000..59be4d2 --- /dev/null +++ b/backtesting/MT5/cluster_audit/run_sequential.py @@ -0,0 +1,278 @@ +""" +Sequential cluster audit: one strategy at a time, fix until it passes, then next. + +Pass criteria (optimized result): + - >= 1 trade per calendar day over the backtest window (~1977 for 2021-2026) + - net > 0, profit factor >= 1.15, sharpe >= 0.3 + - winning months >= 45%, drawdown <= 25% + +Usage: + python -m cluster_audit.run_sequential [trials] [--only ID] [--from ID] +""" + +from __future__ import annotations + +import argparse +import json +import random +import sys +import time +from datetime import datetime +from pathlib import Path + +import MetaTrader5 as mt5 + +sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) + +from cluster_audit.backtest_core import CostModel, load_bars, resolve_symbol +from cluster_audit.diagnose import diagnose +from cluster_audit.engines import ENGINE_MAP +from cluster_audit.portfolio_build import build_progressive_portfolios +from cluster_audit.run_audit import _sample_params +from cluster_audit.scoring import ( + DEFAULT_TRADES_PER_DAY, + acceptance, + format_quality_line, + min_trades_for_period, + period_days, + score_label, + score_report, + trades_per_day, +) +from cluster_audit.strategy_registry import PERIODS, STRATEGIES, TF +from cluster_audit.trace_log import TraceLog + +LOG = TraceLog(enabled=True, trial_every=10) +PRIMARY_PERIOD = "2021-2026" + + +def run_one_strategy( + spec: dict, + period_label: str, + start: str, + end: str, + trials: int, + rng: random.Random, + idx: int, + total: int, + days: int, + trades_per_day_target: float, +) -> dict: + sid = spec["id"] + tf_key = spec["tf"] + label = f"[{idx}/{total}] {sid} @ {period_label}" + LOG.banner(label) + + engine = ENGINE_MAP[spec["engine"]] + sym = resolve_symbol(spec["symbol"]) + start_dt = datetime.fromisoformat(start) + end_dt = datetime.fromisoformat(end) + + try: + df = load_bars(sym, TF[tf_key], start_dt, end_dt) + except Exception as e: + LOG.error(f"data load failed: {e}") + return {"id": sid, "period": period_label, "error": str(e), "spec": spec, "passed": False} + + LOG.info(f"loaded {len(df)} bars symbol={sym} engine={spec['engine']}") + costs = CostModel.for_symbol(sym) + defaults = dict(spec["defaults"]) + + min_t = min_trades_for_period(days, trades_per_day_target) + LOG.info(f"activity gate: >={min_t} trades ({trades_per_day_target:.1f}/day x {days}d)") + + t0 = time.perf_counter() + baseline = engine(df, sym, period_label, sid, defaults, spec["lot"], costs) + LOG.info(f"baseline: {format_quality_line(baseline, days)} ({(time.perf_counter()-t0)*1000:.0f}ms)") + + best = baseline + best_params = defaults + best_score = score_report(baseline, days, trades_per_day_target) + + base_ok, base_issues = acceptance(baseline, days, trades_per_day_target) + if base_ok: + LOG.info("baseline PASSES acceptance gates") + else: + LOG.warn("baseline fails: " + "; ".join(base_issues)) + + if trials > 0: + LOG.info(f"optimizing {trials} trials (score requires trades + profit + consistency)...") + for n in range(1, trials + 1): + params = _sample_params(defaults, spec.get("opt", {}), rng) + r = engine(df, sym, period_label, sid, params, spec["lot"], costs) + sc = score_report(r, days, trades_per_day_target) + if sc > best_score: + best_score = sc + best = r + best_params = params + LOG.trial(n, trials, sc, r.net_profit, r.sharpe, improved=True) + LOG.debug(f" -> {format_quality_line(r, days)}") + elif n % LOG.trial_every == 0 or n == trials: + LOG.trial(n, trials, sc, r.net_profit, r.sharpe, improved=False) + + LOG.info(f"optimized: {format_quality_line(best, days)}") + opt_ok, opt_issues = acceptance(best, days, trades_per_day_target) + passed = opt_ok or base_ok + + if passed: + LOG.info(f"PASS {sid} - ready for portfolio") + else: + LOG.warn(f"FAIL {sid} - needs engine/logic work before next strategy") + LOG.warn(" " + "; ".join(opt_issues if not opt_ok else base_issues)) + + diag = diagnose(spec, baseline, best, LOG) + + result = { + "id": sid, + "engine": spec["engine"], + "symbol": sym, + "timeframe": tf_key, + "period": period_label, + "bars": len(df), + "period_days": days, + "trades_per_day_target": trades_per_day_target, + "baseline_trades_per_day": trades_per_day(baseline, days), + "optimized_trades_per_day": trades_per_day(best, days), + "passed": passed, + "acceptance_issues": opt_issues if not opt_ok else ([] if base_ok else base_issues), + "baseline": baseline.to_dict(), + "optimized": {**best.to_dict(), "params": best_params}, + "optimized_params": best_params, + "optimized_score": best_score, + "improvement_net": best.net_profit - baseline.net_profit, + "improvement_trades": best.total_trades - baseline.total_trades, + "diagnosis": diag, + "spec": spec, + } + + out_dir = Path(__file__).parent / "reports" / "sequential" + out_dir.mkdir(parents=True, exist_ok=True) + path = out_dir / f"{sid}_{period_label}.json" + path.write_text(json.dumps({k: v for k, v in result.items() if k != "spec"}, indent=2), encoding="utf-8") + LOG.info(f"saved {path.name}") + + try: + from cluster_audit.sync_cluster import main as sync_cluster + sync_cluster() + LOG.info("cluster-latest SuperEA_AuditParams.mqh updated") + except Exception as ex: + LOG.warn(f"cluster sync skipped: {ex}") + + return result + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description="Sequential cluster audit - fix each before next") + p.add_argument("trials", nargs="?", type=int, default=40) + p.add_argument("--portfolio-trials", type=int, default=30) + p.add_argument("--from", dest="from_id", default=None) + p.add_argument("--only", default=None) + p.add_argument("--skip-portfolio", action="store_true") + p.add_argument("--trial-every", type=int, default=10) + p.add_argument("--trades-per-day", type=float, default=DEFAULT_TRADES_PER_DAY) + p.add_argument("--continue-on-fail", action="store_true", help="Run next strategy even if current fails") + return p.parse_args() + + +def main() -> None: + args = parse_args() + global LOG + LOG = TraceLog(enabled=True, trial_every=args.trial_every) + + start, end = PERIODS[PRIMARY_PERIOD] + days = period_days(datetime.fromisoformat(start), datetime.fromisoformat(end)) + strategies = STRATEGIES + if args.only: + strategies = [s for s in STRATEGIES if s["id"] == args.only] + elif args.from_id: + found = False + filtered = [] + for s in STRATEGIES: + if s["id"] == args.from_id: + found = True + if found: + filtered.append(s) + strategies = filtered if found else STRATEGIES + + LOG.banner( + f"SEQUENTIAL AUDIT - {len(strategies)} strategies | " + f">={args.trades_per_day:.1f} trade/day (~{min_trades_for_period(days, args.trades_per_day)} trades) | " + f"{args.trials} opt trials" + ) + + if not mt5.initialize(): + LOG.error(f"MT5 init failed: {mt5.last_error()}") + raise SystemExit(1) + + out_dir = Path(__file__).parent / "reports" / "sequential" + out_dir.mkdir(parents=True, exist_ok=True) + rng = random.Random(42) + results: list[dict] = [] + passed_ids: list[str] = [] + failed_ids: list[str] = [] + + try: + for i, spec in enumerate(strategies, 1): + r = run_one_strategy( + spec, PRIMARY_PERIOD, start, end, args.trials, rng, i, len(strategies), + days, args.trades_per_day, + ) + results.append(r) + if r.get("passed"): + passed_ids.append(r["id"]) + elif "error" not in r: + failed_ids.append(r["id"]) + if not args.continue_on_fail and not args.only: + LOG.warn(f"STOPPED at {r['id']} - fix engine/params then resume with --from {r['id']}") + break + + valid = [r for r in results if r.get("passed") and "error" not in r] + valid.sort(key=lambda x: x.get("optimized_score", float("-inf")), reverse=True) + + summary = { + "generated": datetime.now().isoformat(), + "period_days": days, + "trades_per_day_target": args.trades_per_day, + "trials": args.trials, + "passed": passed_ids, + "failed": failed_ids, + "ranking": [ + { + "id": r["id"], + "score": r.get("optimized_score"), + "net": r["optimized"]["net_profit"], + "trades": r["optimized"]["total_trades"], + "sharpe": r["optimized"]["sharpe"], + "pf": r["optimized"]["profit_factor"], + } + for r in valid + ], + "results": [{k: v for k, v in r.items() if k != "spec"} for r in results], + } + + if not args.skip_portfolio and valid: + LOG.banner("PROGRESSIVE PORTFOLIO BUILD (passed strategies only)") + ranked = [{"spec": r["spec"], "optimized_params": r["optimized_params"]} for r in valid] + summary["portfolio_steps"] = build_progressive_portfolios( + ranked, PRIMARY_PERIOD, start, end, args.portfolio_trials, rng, LOG + ) + + (out_dir / "sequential_summary.json").write_text(json.dumps(summary, indent=2), encoding="utf-8") + + LOG.banner(f"PASSED {len(passed_ids)} / FAILED {len(failed_ids)}") + for r in valid: + o = r["optimized"] + LOG.info( + f" {r['id']:28} score={score_label(r['optimized_score'], o['total_trades'], days, args.trades_per_day):>22} " + f"net=${o['net_profit']:9.0f} trades={o['total_trades']:5} ({r.get('optimized_trades_per_day', 0):.2f}/day)" + ) + for fid in failed_ids: + LOG.warn(f" NEEDS FIX: {fid}") + + LOG.banner(f"DONE in {LOG._elapsed()}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/backtesting/MT5/cluster_audit/run_tweak_elimination.py b/backtesting/MT5/cluster_audit/run_tweak_elimination.py new file mode 100644 index 0000000..31da2f4 --- /dev/null +++ b/backtesting/MT5/cluster_audit/run_tweak_elimination.py @@ -0,0 +1,428 @@ +#!/usr/bin/env python3 +""" +Multi-round elimination audit: small per-strategy tricks vs solo baseline. + +Round 1 — each trick vs baseline (123.set, one strategy enabled). +Round 2 — stack non-conflicting WIN tricks from round 1. +Round 3 — ±15% numeric refine around best single winner. + +Usage: + python -m cluster_audit.run_tweak_elimination + python -m cluster_audit.run_tweak_elimination --only ES --rounds 1 + python -m cluster_audit.run_tweak_elimination --enabled-only --apply +""" + +from __future__ import annotations + +import argparse +import json +import re +import sys +import time +from datetime import datetime +from itertools import combinations +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) + +from set_parser import parse_set_file + +from cluster_audit.tweak_manifest import STRATEGY_TWEAKS +from cluster_audit.united_mt5_manifest import ALL_ENABLE_KEYS, UNITED_MT5_STRATEGIES +from cluster_audit.united_mt5_runner import ( + BASE_SET, + CLUSTER, + deploy_united, + mt5_context, + patch_set, + run_backtest, +) + +OUT = Path(__file__).resolve().parent / "reports" / "tweak_elimination" +CHECKPOINT = OUT / "checkpoint.json" + + +def solo_overrides(spec: dict) -> dict: + o: dict = {k: False for k in ALL_ENABLE_KEYS} + o[spec["enable"]] = True + o["GAP_Enable"] = False + o["OPT_GuardOptimizationMode"] = True + return o + + +def g(m: dict, k: str) -> float: + v = m.get(k) + return float(v) if v is not None else 0.0 + + +def classify(base: dict, var: dict) -> str: + if not var.get("ready"): + return "BROKEN" + if var.get("total_trades", 0) == 0: + return "NO_TRADES" + d_net = g(var, "net_profit") - g(base, "net_profit") + d_sh = g(var, "sharpe") - g(base, "sharpe") + if d_net > 35 and d_sh >= -0.05: + return "WIN" + if d_net < -35 or d_sh < -0.12: + return "LOSE" + return "NEUTRAL" + + +def delta(base: dict, var: dict) -> dict: + return { + "net_profit_delta": g(var, "net_profit") - g(base, "net_profit"), + "sharpe_delta": g(var, "sharpe") - g(base, "sharpe"), + "pf_delta": g(var, "profit_factor") - g(base, "profit_factor"), + "trades_delta": int(g(var, "total_trades") - g(base, "total_trades")), + } + + +def merge_params(*dicts: dict) -> dict: + out: dict = {} + for d in dicts: + out.update(d) + return out + + +def numeric_refine(params: dict, factor: float) -> dict: + out: dict = {} + for k, v in params.items(): + if isinstance(v, (int, float)) and not isinstance(v, bool): + nv = round(v * factor, 4) + out[k] = int(nv) if isinstance(v, int) else nv + else: + out[k] = v + return out + + +def run_variant(ctx: dict, spec: dict, base_ov: dict, extra: dict, tag: str) -> dict: + ov = {**base_ov, **extra} + body = patch_set(BASE_SET, ov) + safe_tag = re.sub(r"[^\w.-]", "_", tag)[:48] + last: dict = {"ready": False} + for attempt in range(3): + if attempt: + time.sleep(6) + print(f" retry {attempt} {safe_tag}", flush=True) + last = run_backtest( + ctx["data"], ctx["mt5_path"], ctx["login"], ctx["server"], + body, f"twk_{spec['id']}_{safe_tag}.set", f"twk_{spec['id']}_{safe_tag}", + ) + if last.get("ready"): + break + time.sleep(2) + return last + + +def load_checkpoint() -> dict[str, dict]: + if CHECKPOINT.exists(): + return json.loads(CHECKPOINT.read_text(encoding="utf-8")) + return {} + + +def save_checkpoint(all_results: list[dict], *, rounds: int, strategies: list[dict]) -> None: + OUT.mkdir(parents=True, exist_ok=True) + done = {r["id"]: r for r in all_results if "final" in r} + payload = { + "updated": datetime.now().isoformat(), + "rounds": rounds, + "completed": list(done.keys()), + "results": all_results, + } + CHECKPOINT.write_text(json.dumps(payload, indent=2, default=str), encoding="utf-8") + summary = { + "generated": payload["updated"], + "rounds": rounds, + "strategies_tested": len(strategies), + "completed": payload["completed"], + "applied": [sid for sid, r in done.items() if r.get("final", {}).get("action") == "APPLY"], + "kept_baseline": [sid for sid, r in done.items() if r.get("final", {}).get("action") == "KEEP_BASELINE"], + "results": all_results, + } + (OUT / "summary.json").write_text(json.dumps(summary, indent=2, default=str), encoding="utf-8") + + +def round1(ctx: dict, spec: dict, base_ov: dict) -> tuple[dict, list[dict]]: + sid = spec["id"] + tricks = STRATEGY_TWEAKS.get(sid, []) + print(f"\n{'='*60}\n[{sid}] Round 1 — {len(tricks)} tricks\n{'='*60}", flush=True) + + base = run_variant(ctx, spec, base_ov, {}, "base") + print(f" BASE net={base.get('net_profit')} sharpe={base.get('sharpe')} " + f"trades={base.get('total_trades')} ({base.get('elapsed_sec')}s)", flush=True) + + results: list[dict] = [] + for tw in tricks: + m = run_variant(ctx, spec, base_ov, tw["params"], tw["name"]) + v = classify(base, m) + d = delta(base, m) + row = { + "round": 1, + "name": tw["name"], + "params": tw["params"], + "verdict": v, + "delta": d, + "metrics": m, + } + results.append(row) + print(f" {tw['name']:22s} {v:8s} dNet={d['net_profit_delta']:+.0f} " + f"dSharpe={d['sharpe_delta']:+.3f} trades={m.get('total_trades')}", flush=True) + + return base, results + + +def round2(ctx: dict, spec: dict, base_ov: dict, winners: list[dict]) -> list[dict]: + if len(winners) < 2: + return [] + sid = spec["id"] + print(f" [{sid}] Round 2 — stack {len(winners)} winners", flush=True) + out: list[dict] = [] + for a, b in combinations(winners, 2): + keys_a = set(a["params"]) + keys_b = set(b["params"]) + if keys_a & keys_b: + continue + combo_name = f"{a['name']}+{b['name']}" + params = merge_params(a["params"], b["params"]) + m = run_variant(ctx, spec, base_ov, params, combo_name.replace("+", "_")) + # compare vs best single winner metrics stored in winners + best_single = max(winners, key=lambda w: g(w["metrics"], "net_profit")) + v = classify(best_single["metrics"], m) + d = delta(best_single["metrics"], m) + row = { + "round": 2, + "name": combo_name, + "params": params, + "verdict": v, + "delta_vs_best_single": d, + "metrics": m, + } + out.append(row) + print(f" {combo_name:30s} {v:8s} dNet={d['net_profit_delta']:+.0f} " + f"dSharpe={d['sharpe_delta']:+.3f}", flush=True) + return out + + +def round3(ctx: dict, spec: dict, base_ov: dict, best: dict) -> list[dict]: + sid = spec["id"] + numeric = {k: v for k, v in best["params"].items() if isinstance(v, (int, float))} + if not numeric: + return [] + print(f" [{sid}] Round 3 — refine {best['name']}", flush=True) + out: list[dict] = [] + for fac, label in ((0.85, "refine_lo"), (1.15, "refine_hi")): + params = merge_params( + {k: v for k, v in best["params"].items() if k not in numeric}, + numeric_refine(numeric, fac), + ) + m = run_variant(ctx, spec, base_ov, params, f"{best['name']}_{label}") + v = classify(best["metrics"], m) + d = delta(best["metrics"], m) + out.append({ + "round": 3, + "name": f"{best['name']}_{label}", + "params": params, + "verdict": v, + "delta_vs_best": d, + "metrics": m, + }) + print(f" {label:12s} {v:8s} dNet={d['net_profit_delta']:+.0f} " + f"dSharpe={d['sharpe_delta']:+.3f}", flush=True) + return out + + +def pick_final(base: dict, r1: list[dict], r2: list[dict], r3: list[dict]) -> dict: + candidates: list[dict] = [] + for r in r1: + if r["verdict"] == "WIN": + candidates.append({"source": f"r1:{r['name']}", "params": r["params"], "metrics": r["metrics"]}) + for r in r2: + if r["verdict"] == "WIN": + candidates.append({"source": f"r2:{r['name']}", "params": r["params"], "metrics": r["metrics"]}) + for r in r3: + if r["verdict"] == "WIN": + candidates.append({"source": f"r3:{r['name']}", "params": r["params"], "metrics": r["metrics"]}) + + if not candidates: + return {"action": "KEEP_BASELINE", "params": {}, "baseline": base} + + best = max(candidates, key=lambda c: (g(c["metrics"], "sharpe"), g(c["metrics"], "net_profit"))) + return { + "action": "APPLY", + "source": best["source"], + "params": best["params"], + "metrics": best["metrics"], + "baseline": base, + "improvement": delta(base, best["metrics"]), + } + + +def _format_mq5_value(old_val: str, val: object) -> str: + old = old_val.strip() + if isinstance(val, bool): + return "true" if val else "false" + if isinstance(val, int): + return str(val) + if isinstance(val, float): + if "." in old: + return f"{val:.1f}" if val == int(val) else str(val) + return str(int(val)) if val == int(val) else str(val) + if isinstance(val, str): + return f'"{val}"' if not (old.startswith('"') and old.endswith('"')) else f'"{val}"' + return str(val) + + +def apply_to_mq5_and_set(winners: dict[str, dict]) -> None: + mq5 = CLUSTER / "main.mq5" + st = CLUSTER / "123.set" + text = mq5.read_text(encoding="utf-8") + set_lines = st.read_text(encoding="utf-8", errors="ignore").splitlines() + n_applied = 0 + + for _sid, w in winners.items(): + if w.get("action") != "APPLY": + continue + for key, val in w["params"].items(): + pat = rf"(input\s+(?:bool|int|double|string|ENUM_\w+)\s+{re.escape(key)}\s*=\s*)([^;]+)(;)" + + def repl(m: re.Match, v: object = val) -> str: + return f"{m.group(1)}{_format_mq5_value(m.group(2), v)}{m.group(3)}" + + new_text, n = re.subn(pat, repl, text, count=1) + if n: + text = new_text + n_applied += 1 + else: + print(f" WARN mq5 miss {key}", flush=True) + + for i, line in enumerate(set_lines): + if not line.startswith(f"{key}="): + continue + sv = "true" if val is True else "false" if val is False else str(val) + parts = line.split("||") + if len(parts) >= 5: + parts[0] = f"{key}={sv}" + set_lines[i] = "||".join(parts) + else: + set_lines[i] = f"{key}={sv}" + break + + if re.search(r'#property version\s+"[\d.]+"', text): + text = re.sub(r'(#property version\s+)"[\d.]+"', r'\g<1>"1.27"', text, count=1) + + mq5.write_text(text, encoding="utf-8") + st.write_text("\n".join(set_lines) + "\n", encoding="utf-8") + print(f"Applied {n_applied} param updates -> main.mq5 + 123.set", flush=True) + + +def audit_strategy(ctx: dict, spec: dict, rounds: int) -> dict: + base_ov = solo_overrides(spec) + base, r1 = round1(ctx, spec, base_ov) + winners = [r for r in r1 if r["verdict"] == "WIN"] + + r2: list[dict] = [] + r3: list[dict] = [] + if rounds >= 2 and len(winners) >= 2: + r2 = round2(ctx, spec, base_ov, winners) + winners += [r for r in r2 if r["verdict"] == "WIN"] + + if rounds >= 3 and winners: + best = max(winners, key=lambda w: g(w["metrics"], "net_profit")) + r3 = round3(ctx, spec, base_ov, best) + winners += [r for r in r3 if r["verdict"] == "WIN"] + + final = pick_final(base, r1, r2, r3) + print(f" => {final['action']} {final.get('source', '')} " + f"dNet={final.get('improvement', {}).get('net_profit_delta', 0):+.0f}", flush=True) + return { + "id": spec["id"], + "name": spec["name"], + "baseline": base, + "round1": r1, + "round2": r2, + "round3": r3, + "final": final, + "eliminated": [r["name"] for r in r1 if r["verdict"] == "LOSE"], + "neutral": [r["name"] for r in r1 if r["verdict"] == "NEUTRAL"], + } + + +def main() -> int: + p = argparse.ArgumentParser() + p.add_argument("--only", default=None) + p.add_argument("--from", dest="from_id", default=None) + p.add_argument("--enabled-only", action="store_true") + p.add_argument("--rounds", type=int, default=3, choices=[1, 2, 3]) + p.add_argument("--apply", action="store_true", help="Write WIN params into main.mq5 + 123.set") + p.add_argument("--resume", action="store_true", help="Skip strategies already in checkpoint.json") + args = p.parse_args() + + OUT.mkdir(parents=True, exist_ok=True) + base_params = parse_set_file(BASE_SET) + + strategies = list(UNITED_MT5_STRATEGIES) + if args.enabled_only: + strategies = [ + s for s in strategies + if base_params.get(s["enable"], type("x", (), {"value": False})).value + ] + if args.only: + strategies = [s for s in strategies if s["id"] == args.only] + elif args.from_id: + found = False + filtered = [] + for s in strategies: + if s["id"] == args.from_id: + found = True + if found: + filtered.append(s) + strategies = filtered if found else strategies + + print(f"Tweak elimination | {len(strategies)} strategies | rounds={args.rounds} | base={BASE_SET.name}") + ctx = mt5_context() + deploy_united(ctx["data"], ctx["mt5_path"]) + print("Compiled main.ex5 OK", flush=True) + + all_results: list[dict] = [] + if args.resume and CHECKPOINT.exists(): + ck = json.loads(CHECKPOINT.read_text(encoding="utf-8")) + all_results = ck.get("results", []) + done_ids = {r["id"] for r in all_results if "final" in r} + strategies = [s for s in strategies if s["id"] not in done_ids] + print(f"Resume: skipping {len(done_ids)} done, {len(strategies)} remaining", flush=True) + + for spec in strategies: + try: + result = audit_strategy(ctx, spec, args.rounds) + all_results.append(result) + save_checkpoint(all_results, rounds=args.rounds, strategies=strategies) + except Exception as ex: + print(f" ERROR {spec['id']}: {ex}", flush=True) + all_results.append({"id": spec["id"], "error": str(ex)}) + save_checkpoint(all_results, rounds=args.rounds, strategies=strategies) + + apply_map = {r["id"]: r["final"] for r in all_results if "final" in r} + applied = [sid for sid, f in apply_map.items() if f.get("action") == "APPLY"] + + summary = { + "generated": datetime.now().isoformat(), + "rounds": args.rounds, + "strategies_tested": len(strategies), + "applied": applied, + "kept_baseline": [sid for sid, f in apply_map.items() if f.get("action") == "KEEP_BASELINE"], + "results": all_results, + } + out_path = OUT / "summary.json" + out_path.write_text(json.dumps(summary, indent=2, default=str), encoding="utf-8") + print(f"\nSaved {out_path}") + print(f"APPLY ({len(applied)}): {applied}") + + if args.apply and applied: + apply_to_mq5_and_set(apply_map) + + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/backtesting/MT5/cluster_audit/run_united_sequential.py b/backtesting/MT5/cluster_audit/run_united_sequential.py new file mode 100644 index 0000000..4a538bf --- /dev/null +++ b/backtesting/MT5/cluster_audit/run_united_sequential.py @@ -0,0 +1,133 @@ +""" +Sequential United EA audit (main.mq5 strategies from 123.set). + +Usage: + python -m cluster_audit.run_united_sequential [trials] [--only ID] [--from ID] [--continue-on-fail] +""" + +from __future__ import annotations + +import argparse +import json +import random +import sys +from datetime import datetime +from pathlib import Path + +import MetaTrader5 as mt5 + +sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) + +from cluster_audit.run_sequential import run_one_strategy # noqa: E402 +from cluster_audit.scoring import ( # noqa: E402 + DEFAULT_TRADES_PER_DAY, + min_trades_for_period, + period_days, + score_label, +) +from cluster_audit.trace_log import TraceLog # noqa: E402 +from cluster_audit.united_registry import PERIODS, UNITED_STRATEGIES # noqa: E402 + +PRIMARY_PERIOD = "2021-2026" + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description="United EA sequential audit (main.mq5)") + p.add_argument("trials", nargs="?", type=int, default=80) + p.add_argument("--from", dest="from_id", default=None) + p.add_argument("--only", default=None) + p.add_argument("--trial-every", type=int, default=10) + p.add_argument("--trades-per-day", type=float, default=DEFAULT_TRADES_PER_DAY) + p.add_argument("--continue-on-fail", action="store_true") + return p.parse_args() + + +def main() -> None: + args = parse_args() + log = TraceLog(enabled=True, trial_every=args.trial_every) + + start, end = PERIODS[PRIMARY_PERIOD] + days = period_days(datetime.fromisoformat(start), datetime.fromisoformat(end)) + strategies = UNITED_STRATEGIES + if args.only: + strategies = [s for s in UNITED_STRATEGIES if s["id"] == args.only] + elif args.from_id: + found = False + filtered = [] + for s in UNITED_STRATEGIES: + if s["id"] == args.from_id: + found = True + if found: + filtered.append(s) + strategies = filtered if found else UNITED_STRATEGIES + + log.banner( + f"UNITED EA AUDIT - {len(strategies)} strategies | " + f">={args.trades_per_day:.1f} trade/day | {args.trials} trials" + ) + + if not mt5.initialize(): + log.error(f"MT5 init failed: {mt5.last_error()}") + raise SystemExit(1) + + out_dir = Path(__file__).parent / "reports" / "united_sequential" + out_dir.mkdir(parents=True, exist_ok=True) + rng = random.Random(42) + results: list[dict] = [] + passed_ids: list[str] = [] + failed_ids: list[str] = [] + + try: + for i, spec in enumerate(strategies, 1): + r = run_one_strategy( + spec, PRIMARY_PERIOD, start, end, args.trials, rng, i, len(strategies), + days, args.trades_per_day, + ) + # relocate report to united folder + src = Path(__file__).parent / "reports" / "sequential" / f"{spec['id']}_{PRIMARY_PERIOD}.json" + dst = out_dir / f"{spec['id']}_{PRIMARY_PERIOD}.json" + if src.exists(): + dst.write_text(src.read_text(encoding="utf-8"), encoding="utf-8") + + results.append(r) + if r.get("passed"): + passed_ids.append(r["id"]) + elif "error" not in r: + failed_ids.append(r["id"]) + if not args.continue_on_fail and not args.only: + log.warn(f"STOPPED at {r['id']} — resume with --from {r['id']} --continue-on-fail") + break + + summary = { + "generated": datetime.now().isoformat(), + "period_days": days, + "passed": passed_ids, + "failed": failed_ids, + "results": [{k: v for k, v in r.items() if k != "spec"} for r in results], + } + (out_dir / "united_summary.json").write_text(json.dumps(summary, indent=2), encoding="utf-8") + + try: + from cluster_audit.sync_united import main as sync_united + sync_united() + log.info("main.mq5 + UnitedEA_Optimized.set updated") + except Exception as ex: + log.warn(f"sync_united skipped: {ex}") + + log.banner(f"PASSED {len(passed_ids)} / FAILED {len(failed_ids)}") + for r in results: + if not r.get("passed"): + continue + o = r["optimized"] + log.info( + f" {r['id']:28} net=${o['net_profit']:9.0f} " + f"trades={o['total_trades']:5} pf={o['profit_factor']:.2f}" + ) + for fid in failed_ids: + log.warn(f" NEEDS FIX: {fid}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/backtesting/MT5/cluster_audit/run_us30_lot_dd.py b/backtesting/MT5/cluster_audit/run_us30_lot_dd.py new file mode 100644 index 0000000..8c24f73 --- /dev/null +++ b/backtesting/MT5/cluster_audit/run_us30_lot_dd.py @@ -0,0 +1,91 @@ +#!/usr/bin/env python3 +"""US30 lot sweep — pick lot balancing return vs equity drawdown.""" + +from __future__ import annotations + +import json +import re +import sys +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) + +from cluster_audit.united_mt5_manifest import ALL_ENABLE_KEYS, UNITED_MT5_STRATEGIES +from cluster_audit.united_mt5_runner import BASE_SET, deploy_united, mt5_context, patch_set, run_backtest + +OUT = Path(__file__).resolve().parent / "reports" / "us30_lot_dd" +LOTS = [0.03, 0.04, 0.05, 0.06, 0.07, 0.08] +MAX_DD_PCT = 35.0 # reject lots with equity DD above this + + +def parse_dd_pct(dd: str | None) -> float | None: + if not dd: + return None + m = re.search(r"([\d.]+)\s*%", str(dd).replace(",", "")) + return float(m.group(1)) if m else None + + +def main() -> None: + sm = {s["id"]: s for s in UNITED_MT5_STRATEGIES} + spec = sm["RS_US30"] + ov_base = { + k: False for k in ALL_ENABLE_KEYS + } + ov_base[spec["enable"]] = True + ov_base.update({ + "ORCH_ReferenceBalance": 3000.0, + "ORCH_ScaleLotsByBalance": True, + "GAP_Enable": False, + "OPT_GuardOptimizationMode": True, + "EnableRSIScalpingMU": False, + }) + + ctx = mt5_context() + deploy_united(ctx["data"], ctx["mt5_path"]) + OUT.mkdir(parents=True, exist_ok=True) + + trials: list[dict] = [] + best_lot, best_sc, best_row = LOTS[0], -1e18, {} + + for lot in LOTS: + ov = {**ov_base, spec["lot"]: lot} + tag = str(lot).replace(".", "p") + m = run_backtest( + ctx["data"], ctx["mt5_path"], ctx["login"], ctx["server"], + patch_set(BASE_SET, ov), f"us30_dd_{tag}.set", f"us30_dd_{tag}", + ) + dd_pct = parse_dd_pct(m.get("max_drawdown")) + pf = float(m.get("profit_factor") or 0) + sharpe = float(m.get("sharpe") or 0) + profit = float(m.get("net_profit") or 0) + trades = int(m.get("total_trades") or 0) + if not m.get("ready") or trades < 20 or pf < 1.0: + sc = -1e10 + elif dd_pct is not None and dd_pct > MAX_DD_PCT: + sc = sharpe * 500 + profit / 2000 - dd_pct * 100 + else: + sc = sharpe * 2000 + profit / 500 + pf * 50 - (dd_pct or 0) * 20 + row = {"lot": lot, "dd_pct": dd_pct, "score": sc, "metrics": m} + trials.append(row) + print( + f"lot={lot} PF={pf} net={profit} sharpe={sharpe} dd={m.get('max_drawdown')} sc={sc:.0f}", + flush=True, + ) + if sc > best_sc: + best_sc, best_lot, best_row = sc, lot, row + + # Prefer highest lot under DD cap with PF>=1.1 + under_cap = [t for t in trials if t.get("dd_pct") is not None and t["dd_pct"] <= MAX_DD_PCT + and (t["metrics"].get("profit_factor") or 0) >= 1.1] + if under_cap: + best_lot = max(under_cap, key=lambda t: t["lot"])["lot"] + best_row = next(t for t in trials if t["lot"] == best_lot) + + result = {"best_lot": best_lot, "max_dd_cap_pct": MAX_DD_PCT, "best": best_row, "trials": trials} + OUT.mkdir(parents=True, exist_ok=True) + (OUT / "us30_lot_dd.json").write_text(json.dumps(result, indent=2), encoding="utf-8") + print(f"BEST lot={best_lot} dd={best_row.get('dd_pct')}% PF={best_row['metrics'].get('profit_factor')}", flush=True) + + +if __name__ == "__main__": + main() diff --git a/backtesting/MT5/cluster_audit/scan_low_margin_stocks.py b/backtesting/MT5/cluster_audit/scan_low_margin_stocks.py new file mode 100644 index 0000000..a289ca6 --- /dev/null +++ b/backtesting/MT5/cluster_audit/scan_low_margin_stocks.py @@ -0,0 +1,57 @@ +"""Quick solo scan for low-margin stocks using NVDA-style RSI params.""" + +from __future__ import annotations + +import sys +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) + +from cluster_audit.united_mt5_manifest import ALL_ENABLE_KEYS, HIGH_MARGIN_STOCK_ENABLES +from cluster_audit.united_mt5_runner import BASE_SET, deploy_united, mt5_context, patch_set, run_backtest +import cluster_audit.united_mt5_runner as runner + +SYMBOLS = ("SNAP.NYS", "F.NYS", "SOFI.NAS", "PFE.NYS", "AAL.NAS", "NVDA.NAS", "BAC.NYS", "WBD.NAS") + +NVDA_PARAMS = { + "RS_F_Symbol": "", + "RS_F_TimeFrame": 15, + "RS_F_RSI_Period": 8, + "RS_F_RSI_Overbought": 36, + "RS_F_RSI_Oversold": 38, + "RS_F_RSI_Target_Buy": 90, + "RS_F_RSI_Target_Sell": 70, + "RS_F_BarsToWait": 5, + "LOT_RS_F": 10, +} + + +def main() -> None: + ctx = mt5_context() + deploy_united(ctx["data"], ctx["mt5_path"]) + print(f"{'symbol':14} {'trades':>6} {'PF':>6} {'net':>10}") + for sym in SYMBOLS: + o = {k: False for k in ALL_ENABLE_KEYS} + o["EnableRSIScalpingF"] = True + for k in HIGH_MARGIN_STOCK_ENABLES: + o[k] = False + o["GAP_Enable"] = False + o.update(NVDA_PARAMS) + o["RS_F_Symbol"] = sym + body = patch_set(BASE_SET, o) + report = f"scan_{sym.replace('.', '_')}" + old = runner.TEST_SYMBOL + runner.TEST_SYMBOL = sym + m = run_backtest( + ctx["data"], ctx["mt5_path"], ctx["login"], ctx["server"], + body, f"{report}.set", report, + ) + runner.TEST_SYMBOL = old + print( + f"{sym:14} {int(m.get('total_trades') or 0):6} " + f"{float(m.get('profit_factor') or 0):6.2f} {float(m.get('net_profit') or 0):10.2f}" + ) + + +if __name__ == "__main__": + main() diff --git a/backtesting/MT5/cluster_audit/scoring.py b/backtesting/MT5/cluster_audit/scoring.py new file mode 100644 index 0000000..9552356 --- /dev/null +++ b/backtesting/MT5/cluster_audit/scoring.py @@ -0,0 +1,126 @@ +"""Strategy scoring — requires ~1 trade per calendar day over the backtest period.""" + +from __future__ import annotations + +from datetime import date, datetime + +from .backtest_core import BacktestReport + +DEFAULT_TRADES_PER_DAY = 1.0 + + +def period_days(start: date | datetime | str, end: date | datetime | str) -> int: + if isinstance(start, str): + start = datetime.fromisoformat(start) + if isinstance(end, str): + end = datetime.fromisoformat(end) + if isinstance(start, datetime): + start = start.date() + if isinstance(end, datetime): + end = end.date() + return max(1, (end - start).days) + + +def min_trades_for_period(days: int, trades_per_day: float = DEFAULT_TRADES_PER_DAY) -> int: + return max(30, int(days * trades_per_day)) + + +def trades_per_day(report: BacktestReport, days: int) -> float: + if report.total_trades == 0 or days <= 0: + return 0.0 + return report.total_trades / days + + +def winning_months_pct(report: BacktestReport) -> float: + if not report.monthly_returns: + return 0.0 + vals = list(report.monthly_returns.values()) + return 100.0 * sum(1 for v in vals if v > 0) / len(vals) + + +def score_report( + report: BacktestReport, + period_days_count: int, + trades_per_day_target: float = DEFAULT_TRADES_PER_DAY, +) -> float: + """Higher is better. Hard-fails below activity + profit gates.""" + min_t = min_trades_for_period(period_days_count, trades_per_day_target) + t = report.total_trades + tpd = trades_per_day(report, period_days_count) + + if t < min_t or tpd < trades_per_day_target: + return float("-inf") + + if report.net_profit <= 0 or report.profit_factor < 1.05: + return float("-inf") + + win_mo = winning_months_pct(report) / 100.0 + activity = min(tpd / (trades_per_day_target * 1.5), 1.0) + pf = min(report.profit_factor, 4.0) / 4.0 + wr = min(report.win_rate, 70.0) / 70.0 + + return ( + report.sharpe * 0.25 + + (report.net_profit / 2000.0) * 0.18 + - report.max_drawdown_pct * 0.10 + + activity * 0.22 + + win_mo * 0.12 + + pf * 0.08 + + wr * 0.05 + ) + + +def score_label( + score: float, + trades: int, + period_days_count: int, + trades_per_day_target: float = DEFAULT_TRADES_PER_DAY, +) -> str: + min_t = min_trades_for_period(period_days_count, trades_per_day_target) + tpd = trades / period_days_count if period_days_count else 0 + if trades < min_t: + return f"N/A ({trades}<{min_t}, need {trades_per_day_target:.1f}/day)" + if tpd < trades_per_day_target: + return f"N/A ({tpd:.2f}/day < {trades_per_day_target:.1f}/day)" + if score == float("-inf"): + return "N/A (fails profit gates)" + return f"{score:.2f}" + + +def acceptance( + report: BacktestReport, + period_days_count: int, + trades_per_day_target: float = DEFAULT_TRADES_PER_DAY, +) -> tuple[bool, list[str]]: + min_t = min_trades_for_period(period_days_count, trades_per_day_target) + tpd = trades_per_day(report, period_days_count) + issues: list[str] = [] + + if report.total_trades < min_t: + issues.append(f"trades={report.total_trades} need >={min_t} ({trades_per_day_target:.1f}/day x {period_days_count}d)") + if tpd < trades_per_day_target: + issues.append(f"trades/day={tpd:.2f} need >={trades_per_day_target:.1f}") + if report.net_profit <= 0: + issues.append(f"net=${report.net_profit:.0f} not positive") + if report.profit_factor < 1.15: + issues.append(f"pf={report.profit_factor:.2f} need >=1.15") + if report.sharpe < 0.3: + issues.append(f"sharpe={report.sharpe:.2f} need >=0.30") + if report.max_drawdown_pct > 25: + issues.append(f"dd={report.max_drawdown_pct:.1f}% too high") + + win_mo = winning_months_pct(report) + if win_mo < 45: + issues.append(f"winning_months={win_mo:.0f}% need >=45%") + + return len(issues) == 0, issues + + +def format_quality_line(report: BacktestReport, period_days_count: int) -> str: + tpd = trades_per_day(report, period_days_count) + return ( + f"net=${report.net_profit:.0f} sharpe={report.sharpe:.2f} " + f"trades={report.total_trades} ({tpd:.2f}/day) pf={report.profit_factor:.2f} " + f"wr={report.win_rate:.0f}% win_mo={winning_months_pct(report):.0f}% " + f"dd={report.max_drawdown_pct:.1f}%" + ) diff --git a/backtesting/MT5/cluster_audit/strategy_registry.py b/backtesting/MT5/cluster_audit/strategy_registry.py new file mode 100644 index 0000000..240f7da --- /dev/null +++ b/backtesting/MT5/cluster_audit/strategy_registry.py @@ -0,0 +1,134 @@ +"""All SuperEA robot instances with defaults and optimization ranges.""" + +from __future__ import annotations + +import MetaTrader5 as mt5 + +TF = { + "M10": mt5.TIMEFRAME_M10, + "M15": mt5.TIMEFRAME_M15, + "M20": mt5.TIMEFRAME_M20, + "M30": mt5.TIMEFRAME_M30, + "H1": mt5.TIMEFRAME_H1, + "H4": mt5.TIMEFRAME_H4, +} + +STRATEGIES: list[dict] = [ + {"id": "darvas_xau", "engine": "darvas", "symbol": "XAUUSD", "tf": "M15", "lot": 0.07, + "defaults": {"box_period": 24, "box_deviation": 80000, "ma_period": 60, + "trend_threshold": 1.2, "volume_threshold": 0, + "stop_loss_pts": 450, "take_profit_pts": 650}, + "opt": {"box_period": (12, 48, 4), "box_deviation": (40000, 150000, 5000), + "trend_threshold": (0.3, 5.0, 0.3), "stop_loss_pts": (250, 900, 50), + "take_profit_pts": (350, 1200, 50), "ma_period": (30, 120, 15)}}, + {"id": "ema_slope_unit", "engine": "ema_slope", "symbol": "XAUUSD", "tf": "H1", "lot": 0.07, + "defaults": {"ema_period": 85, "price_threshold_pips": 350, "slope_threshold_pips": 22.5, + "monitor_timeout_sec": 340, "max_trades_per_crossover": 12, "use_trailing_stop": False, + "trailing_stop_pips": 74, "max_loss_atr": 1.8, "use_bar_data": True, + "close_unprofitable_trades": True, "profit_check_bars": 36, + "use_weekly_adx_filter": True, "weekly_adx_period": 28, + "weekly_adx_min": 25, "weekly_adx_bar_shift": 8, "weekly_adx_use_direction": True}, + "opt": {"ema_period": (50, 120, 5), "price_threshold_pips": (150, 500, 50), + "slope_threshold_pips": (10, 50, 5), "max_loss_atr": (1.2, 3.0, 0.3), + "profit_check_bars": (18, 60, 6), "max_trades_per_crossover": (3, 20, 3)}}, + {"id": "ema_slope_trail", "engine": "ema_slope", "symbol": "XAUUSD", "tf": "H1", "lot": 0.07, + "defaults": {"ema_period": 50, "price_threshold_pips": 700, "slope_threshold_pips": 25, + "monitor_timeout_sec": 340, "max_trades_per_crossover": 3, "use_trailing_stop": True, + "trailing_stop_pips": 370, "max_loss_atr": 2.0, "use_bar_data": True, + "close_unprofitable_trades": True, "profit_check_bars": 11, + "use_weekly_adx_filter": True, "weekly_adx_period": 15, + "weekly_adx_min": 40, "weekly_adx_bar_shift": 2, "weekly_adx_use_direction": True}, + "opt": {"ema_period": (30, 90, 5), "trailing_stop_pips": (150, 450, 50), + "max_loss_atr": (1.2, 3.5, 0.3), "weekly_adx_min": (25, 50, 5)}}, + {"id": "mean_rev_btc", "engine": "mean_reversion", "symbol": "BTCUSD", "tf": "M15", "lot": 0.01, + "defaults": {"ema_period": 80, "min_ema_distance_pts": 300, "rsi_period": 14, + "rsi_oversold": 40, "rsi_overbought": 70, "adx_period": 14, + "adx_max_for_entry": 30, "adx_escape": 40, "use_rsi_cross": True, + "use_hard_sltp": False, "sl_points": 1300, "tp_points": 13400}, + "opt": {"rsi_oversold": (30, 50, 5), "rsi_overbought": (60, 80, 5), + "min_ema_distance_pts": (100, 1500, 100), "adx_max_for_entry": (22, 40, 3), + "ema_period": (40, 120, 20)}}, + {"id": "rsi_cross_xau", "engine": "rsi_crossover", "symbol": "XAUUSD", "tf": "H1", "lot": 0.01, + "defaults": {"rsi_period": 19, "overbought_level": 93, "oversold_level": 22, "ema_period": 140, + "ema_slope_threshold": 105, "ema_distance_threshold": 165, "exit_buy_rsi": 86, + "exit_sell_rsi": 10, "trailing_stop_pts": 295, "cooldown_seconds": 209, + "tuesday": True, "wednesday": True, "thursday": True, + "trading_hour_one_begin": 0, "trading_hour_one_end": 22, + "trading_hour_two_begin": 6, "trading_hour_two_end": 19}, + "opt": {"overbought_level": (65, 95, 5), "oversold_level": (10, 45, 5), + "ema_slope_threshold": (20, 200, 20), "ema_distance_threshold": (40, 300, 20)}}, + {"id": "rsi_asian_eur", "engine": "rsi_asian", "symbol": "EURUSD", "tf": "M15", "lot": 0.1, + "defaults": {"rsi_period": 28, "overbought_level": 60, "oversold_level": 8, + "asian_session_start": 0, "asian_session_end": 8, "use_rsi_exit": True, "rsi_exit_level": 55}, + "opt": {"overbought_level": (50, 80, 5), "oversold_level": (5, 40, 5)}}, + {"id": "rsi_asian_aud", "engine": "rsi_asian", "symbol": "AUDUSD", "tf": "M15", "lot": 0.1, + "defaults": {"rsi_period": 28, "overbought_level": 68, "oversold_level": 30, + "asian_session_start": 0, "asian_session_end": 8, "use_rsi_exit": True, "rsi_exit_level": 55}, + "opt": {"overbought_level": (55, 80, 5), "oversold_level": (15, 45, 5)}}, + {"id": "rsi_asian_gbp", "engine": "rsi_asian", "symbol": "GBPUSD", "tf": "M15", "lot": 0.1, + "defaults": {"rsi_period": 28, "overbought_level": 80, "oversold_level": 37, + "asian_session_start": 0, "asian_session_end": 8, "use_rsi_exit": True, "rsi_exit_level": 55}, + "opt": {"overbought_level": (60, 85, 5), "oversold_level": (20, 50, 5)}}, + {"id": "rsi_secret_xau", "engine": "rsi_secret", "symbol": "XAUUSD", "tf": "M30", "lot": 0.01, + "defaults": {"rsi_period": 16, "rsi_overbought": 72.5, "rsi_oversold": 32.5, + "stop_loss_atr": 2.75, "take_profit_atr": 5.0, "min_bars_between_trades": 7}, + "opt": {"rsi_overbought": (60, 80, 2), "rsi_oversold": (25, 45, 2), "stop_loss_atr": (1.5, 4, 0.5)}}, +] + +_RSI_SCALPS = [ + ("rsi_scalp_appl_unit", "AAPL", "M10", 25.0, {"rsi_period": 14, "rsi_overbought": 80, "rsi_oversold": 78, + "rsi_target_buy": 94, "rsi_target_sell": 44, "bars_to_wait": 7, "use_trailing": False}), + ("rsi_scalp_appl_trail", "AAPL", "H1", 25.0, {"rsi_period": 8, "rsi_overbought": 62, "rsi_oversold": 32, + "rsi_target_buy": 67, "rsi_target_sell": 2, "bars_to_wait": 5, "use_trailing": True, + "trail_distance_pts": 50, "trail_activation_pts": 39}), + ("rsi_scalp_adbe_trail", "ADBE", "H1", 5.0, {"rsi_period": 15, "rsi_overbought": 16, "rsi_oversold": 42, + "rsi_target_buy": 67, "rsi_target_sell": 62, "bars_to_wait": 8, "use_trailing": True, + "trail_distance_pts": 425, "trail_activation_pts": 18.5}), + ("rsi_scalp_btc_unit", "BTCUSD", "H1", 0.1, {"rsi_period": 14, "rsi_overbought": 90, "rsi_oversold": 73, + "rsi_target_buy": 88, "rsi_target_sell": 48, "bars_to_wait": 6, "use_trailing": False}), + ("rsi_scalp_btc_trail", "BTCUSD", "H1", 0.1, {"rsi_period": 14, "rsi_overbought": 90, "rsi_oversold": 73, + "rsi_target_buy": 88, "rsi_target_sell": 48, "bars_to_wait": 6, "use_trailing": True, + "trail_distance_pts": 120, "trail_activation_pts": 0}), + ("rsi_scalp_mu", "MU", "H1", 25.0, {"rsi_period": 14, "rsi_overbought": 32, "rsi_oversold": 86, + "rsi_target_buy": 100, "rsi_target_sell": 24, "bars_to_wait": 34, "use_trailing": False}), + ("rsi_scalp_nvda_unit", "NVDA", "H1", 25.0, {"rsi_period": 14, "rsi_overbought": 6, "rsi_oversold": 66, + "rsi_target_buy": 98, "rsi_target_sell": 52, "bars_to_wait": 12, "use_trailing": False}), + ("rsi_scalp_nvda_trail", "NVDA", "M15", 50.0, {"rsi_period": 8, "rsi_overbought": 36, "rsi_oversold": 38, + "rsi_target_buy": 90, "rsi_target_sell": 70, "bars_to_wait": 5, "use_trailing": True, + "trail_distance_pts": 375, "trail_activation_pts": 75}), + ("rsi_scalp_nvda_trail_v2", "NVDA", "M15", 50.0, {"rsi_period": 8, "rsi_overbought": 36, "rsi_oversold": 38, + "rsi_target_buy": 90, "rsi_target_sell": 70, "bars_to_wait": 5, "use_trailing": True, + "trail_distance_pts": 375, "trail_activation_pts": 75}), + ("rsi_scalp_tsla_unit", "TSLA", "H1", 25.0, {"rsi_period": 14, "rsi_overbought": 32, "rsi_oversold": 86, + "rsi_target_buy": 100, "rsi_target_sell": 24, "bars_to_wait": 34, "use_trailing": False}), + ("rsi_scalp_tsla_trail", "TSLA", "H1", 5.0, {"rsi_period": 14, "rsi_overbought": 54, "rsi_oversold": 73, + "rsi_target_buy": 87, "rsi_target_sell": 33, "bars_to_wait": 1, "use_trailing": True, + "trail_distance_pts": 900, "trail_activation_pts": 950}), + ("rsi_scalp_xau_trail", "XAUUSD", "H1", 0.1, {"rsi_period": 14, "rsi_overbought": 71, "rsi_oversold": 57, + "rsi_target_buy": 80, "rsi_target_sell": 57, "bars_to_wait": 1, "use_trailing": True, + "trail_distance_pts": 71, "trail_activation_pts": 41}), +] + +for sid, sym, tf, lot, defaults in _RSI_SCALPS: + STRATEGIES.append({ + "id": sid, + "engine": "rsi_scalp", + "symbol": sym, + "tf": tf, + "lot": lot, + "defaults": {**defaults, "tf": tf}, + "opt": { + "rsi_period": (6, 21, 1), + "rsi_overbought": (50, 90, 3), + "rsi_oversold": (10, 70, 3), + "rsi_target_buy": (60, 95, 3), + "rsi_target_sell": (5, 70, 3), + "bars_to_wait": (1, 8, 1), + "trail_distance_pts": (20, 400, 20), + }, + }) + +PERIODS = { + "2021-2026": ("2021-01-01", "2026-06-01"), + "2024-2026": ("2024-01-01", "2026-06-01"), +} diff --git a/backtesting/MT5/cluster_audit/sync_cluster.py b/backtesting/MT5/cluster_audit/sync_cluster.py new file mode 100644 index 0000000..c742556 --- /dev/null +++ b/backtesting/MT5/cluster_audit/sync_cluster.py @@ -0,0 +1,317 @@ +""" +Build cluster-latest SuperEA audit params from sequential JSON reports. + +Usage: + python -m cluster_audit.sync_cluster +""" + +from __future__ import annotations + +import json +from datetime import datetime +from pathlib import Path + +from cluster_audit.scoring import DEFAULT_TRADES_PER_DAY, acceptance, period_days, trades_per_day +from cluster_audit.strategy_registry import PERIODS, STRATEGIES + +REPORTS = Path(__file__).parent / "reports" / "sequential" +OUT_MQH = Path(__file__).resolve().parents[3] / "frontline" / "cluster-latest" / "SuperEA_AuditParams.mqh" +OUT_JSON = Path(__file__).parent / "reports" / "cluster_manifest.json" + +RSI_SCALP_IDS = [ + "rsi_scalp_appl_unit", "rsi_scalp_appl_trail", "rsi_scalp_adbe_trail", + "rsi_scalp_btc_unit", "rsi_scalp_btc_trail", "rsi_scalp_mu", + "rsi_scalp_nvda_unit", "rsi_scalp_nvda_trail", "rsi_scalp_nvda_trail_v2", + "rsi_scalp_tsla_unit", "rsi_scalp_tsla_trail", "rsi_scalp_xau_trail", +] +RSI_INDEX = {sid: i for i, sid in enumerate(RSI_SCALP_IDS)} + +MAGIC_MAP = {s["id"]: 401000 + i for i, s in enumerate(STRATEGIES, 1)} + + +def load_report(sid: str) -> dict | None: + p = REPORTS / f"{sid}_2021-2026.json" + if not p.exists(): + return None + return json.loads(p.read_text(encoding="utf-8")) + + +def spec_defaults(sid: str) -> dict: + for s in STRATEGIES: + if s["id"] == sid: + return dict(s["defaults"]) + return {} + + +def evaluate_report(r: dict, days: int) -> tuple[bool, list[str]]: + from cluster_audit.backtest_core import BacktestReport + + o = r.get("optimized", {}) + rep = BacktestReport( + strategy_id=r["id"], + symbol=r.get("symbol", ""), + timeframe=r.get("timeframe", "H1"), + period_label="2021-2026", + net_profit=float(o.get("net_profit", 0)), + total_trades=int(o.get("total_trades", 0)), + win_rate=float(o.get("win_rate", 0)), + profit_factor=float(o.get("profit_factor", 0)), + sharpe=float(o.get("sharpe", 0)), + max_drawdown_pct=float(o.get("max_drawdown_pct", 0)), + avg_win=float(o.get("avg_win", 0)), + avg_loss=float(o.get("avg_loss", 0)), + worst_trades=o.get("worst_trades", []), + losing_trades=o.get("losing_trades", []), + exit_reason_breakdown=o.get("exit_reason_breakdown", {}), + monthly_returns=o.get("monthly_returns", {}), + params=o.get("params", {}), + ) + if r.get("passed") is True: + ok, issues = acceptance(rep, days, DEFAULT_TRADES_PER_DAY) + if ok: + return True, [] + return acceptance(rep, days, DEFAULT_TRADES_PER_DAY) + + +def _lit_bool(v) -> str: + return "true" if v else "false" + + +def emit_darvas(params: dict, ok: bool) -> list[str]: + d = {**spec_defaults("darvas_xau"), **params} + return [ + "static void SE_AuditDarvas(DarvasBoxConfig &c)", + "{", + f" c.box_period = {int(d['box_period'])};", + f" c.box_deviation = {float(d['box_deviation'])};", + f" c.ma_period = {int(d['ma_period'])};", + f" c.trend_threshold = {float(d['trend_threshold'])};", + f" c.stop_loss_pts = {float(d['stop_loss_pts'])};", + f" c.take_profit_pts = {float(d['take_profit_pts'])};", + " c.box_timeframe = PERIOD_M15;", + " c.trend_timeframe = PERIOD_M15;", + " c.use_close_breakout = true;", + " c.require_volume_ma = false;", + "}", + f"static bool SE_AuditDarvasEnabled() {{ return {_lit_bool(ok)}; }}", + "", + ] + + +def emit_ema_slope(fn: str, params: dict, ok: bool) -> list[str]: + d = params + lines = [f"static void SE_Audit{fn}(EmaSlopeConfig &c)", "{"] + for key, cast in [ + ("ema_period", int), ("price_threshold_pips", float), ("slope_threshold_pips", float), + ("monitor_timeout_sec", int), ("trailing_stop_pips", float), + ("max_trades_per_crossover", int), ("profit_check_bars", int), + ("weekly_adx_period", int), ("weekly_adx_min", float), ("weekly_adx_bar_shift", int), + ]: + if key in d: + lines.append(f" c.{key} = {cast(d[key])};") + if "use_trailing_stop" in d: + lines.append(f" c.use_trailing_stop = {_lit_bool(d['use_trailing_stop'])};") + lines += ["}", f"static bool SE_Audit{fn}Enabled() {{ return {_lit_bool(ok)}; }}", ""] + return lines + + +def emit_mean_rev(params: dict, ok: bool) -> list[str]: + d = {**spec_defaults("mean_rev_btc"), **params} + return [ + "static void SE_AuditMeanRev(MeanReversionConfig &c)", + "{", + f" c.ema_period = {int(d.get('ema_period', 250))};", + f" c.min_ema_distance_pts = {float(d.get('min_ema_distance_pts', 3650))};", + f" c.rsi_period = {int(d.get('rsi_period', 28))};", + f" c.rsi_oversold = {float(d.get('rsi_oversold', 40))};", + f" c.rsi_overbought = {float(d.get('rsi_overbought', 83))};", + f" c.adx_period = {int(d.get('adx_period', 14))};", + f" c.adx_max_for_entry = {float(d.get('adx_max_for_entry', 17))};", + f" c.adx_escape = {float(d.get('adx_escape', 34))};", + f" c.use_rsi_cross = {_lit_bool(d.get('use_rsi_cross', True))};", + f" c.use_hard_sltp = {_lit_bool(d.get('use_hard_sltp', False))};", + f" c.sl_points = {float(d.get('sl_points', 1300))};", + f" c.tp_points = {float(d.get('tp_points', 13400))};", + "}", + f"static bool SE_AuditMeanRevEnabled() {{ return {_lit_bool(ok)}; }}", + "", + ] + + +def emit_rsi_cross(params: dict, ok: bool) -> list[str]: + d = {**spec_defaults("rsi_cross_xau"), **params} + return [ + "static void SE_AuditRsiCross(RsiCrossOverConfig &c)", + "{", + f" c.rsi_period = {int(d.get('rsi_period', 19))};", + f" c.overbought_level = {float(d.get('overbought_level', 93))};", + f" c.oversold_level = {float(d.get('oversold_level', 22))};", + f" c.ema_period = {int(d.get('ema_period', 140))};", + f" c.ema_slope_threshold = {float(d.get('ema_slope_threshold', 105))};", + f" c.ema_distance_threshold = {float(d.get('ema_distance_threshold', 165))};", + f" c.exit_buy_rsi = {float(d.get('exit_buy_rsi', 86))};", + f" c.exit_sell_rsi = {float(d.get('exit_sell_rsi', 10))};", + f" c.trailing_stop_pts = {float(d.get('trailing_stop_pts', 295))};", + f" c.cooldown_seconds = {int(d.get('cooldown_seconds', 209))};", + "}", + f"static bool SE_AuditRsiCrossEnabled() {{ return {_lit_bool(ok)}; }}", + "", + ] + + +def emit_rsi_asian(fn: str, params: dict, ok: bool) -> list[str]: + d = params + return [ + f"static void SE_Audit{fn}(RsiAsianConfig &c)", + "{", + f" c.rsi_period = {int(d.get('rsi_period', 28))};", + f" c.overbought_level = {float(d.get('overbought_level', 60))};", + f" c.oversold_level = {float(d.get('oversold_level', 8))};", + f" c.asian_session_start = {int(d.get('asian_session_start', 0))};", + f" c.asian_session_end = {int(d.get('asian_session_end', 8))};", + f" c.use_rsi_exit = {_lit_bool(d.get('use_rsi_exit', True))};", + f" c.rsi_exit_level = {float(d.get('rsi_exit_level', 55))};", + "}", + f"static bool SE_Audit{fn}Enabled() {{ return {_lit_bool(ok)}; }}", + "", + ] + + +def emit_rsi_secret(params: dict, ok: bool) -> list[str]: + d = {**spec_defaults("rsi_secret_xau"), **params} + return [ + "static void SE_AuditRsiSecret(RsiSecretSauceConfig &c)", + "{", + f" c.rsi_period = {int(d.get('rsi_period', 16))};", + f" c.rsi_overbought = {float(d.get('rsi_overbought', 72.5))};", + f" c.rsi_oversold = {float(d.get('rsi_oversold', 32.5))};", + f" c.stop_loss_atr = {float(d.get('stop_loss_atr', 2.75))};", + f" c.take_profit_atr = {float(d.get('take_profit_atr', 5.0))};", + f" c.min_bars_between_trades = {int(d.get('min_bars_between_trades', 7))};", + "}", + f"static bool SE_AuditRsiSecretEnabled() {{ return {_lit_bool(ok)}; }}", + "", + ] + + +def emit_rsi_scalp(idx: int, sid: str, params: dict, ok: bool) -> list[str]: + d = {**spec_defaults(sid), **params} + return [ + f"static void SE_AuditRsi{idx}(RsiScalpConfig &c)", + "{", + f" c.rsi_period = {int(d.get('rsi_period', 14))};", + f" c.rsi_overbought = {float(d.get('rsi_overbought', 70))};", + f" c.rsi_oversold = {float(d.get('rsi_oversold', 30))};", + f" c.rsi_target_buy = {float(d.get('rsi_target_buy', 80))};", + f" c.rsi_target_sell = {float(d.get('rsi_target_sell', 50))};", + f" c.bars_to_wait = {int(d.get('bars_to_wait', 5))};", + f" c.use_trailing = {_lit_bool(d.get('use_trailing', False))};", + f" c.trail_distance_pts = {float(d.get('trail_distance_pts', 0))};", + f" c.trail_activation_pts = {float(d.get('trail_activation_pts', 0))};", + "}", + f"static bool SE_AuditRsi{idx}Enabled() {{ return {_lit_bool(ok)}; }}", + "", + ] + + +def stub_enabled(name: str, ok: bool = False) -> list[str]: + return [f"static bool SE_Audit{name}Enabled() {{ return {_lit_bool(ok)}; }}", ""] + + +def main() -> None: + start, end = PERIODS["2021-2026"] + days = period_days(start, end) + manifest: dict = { + "generated": datetime.now().isoformat(), + "period_days": days, + "trades_per_day_target": DEFAULT_TRADES_PER_DAY, + "strategies": {}, + } + + reports: dict[str, dict] = {} + status: dict[str, bool] = {} + params_map: dict[str, dict] = {} + + for spec in STRATEGIES: + sid = spec["id"] + r = load_report(sid) + if not r: + manifest["strategies"][sid] = {"status": "no_report", "passed": False} + status[sid] = False + params_map[sid] = spec_defaults(sid) + continue + reports[sid] = r + params = r.get("optimized_params") or r.get("optimized", {}).get("params", spec_defaults(sid)) + params_map[sid] = params + ok, issues = evaluate_report(r, days) + o = r.get("optimized", {}) + tpd = trades_per_day( + type("R", (), {"total_trades": int(o.get("total_trades", 0))})(), + days, + ) + status[sid] = ok + manifest["strategies"][sid] = { + "passed": ok, + "magic": MAGIC_MAP.get(sid), + "trades": o.get("total_trades"), + "trades_per_day": round(tpd, 3), + "net_profit": o.get("net_profit"), + "sharpe": o.get("sharpe"), + "profit_factor": o.get("profit_factor"), + "issues": issues, + "params": params, + } + + lines = [ + "//+------------------------------------------------------------------+", + "//| SuperEA_AuditParams.mqh - optimized params from cluster audit |", + f"//| Generated: {datetime.now().isoformat()}", + "//+------------------------------------------------------------------+", + "#ifndef SUPER_EA_AUDIT_PARAMS_MQH", + "#define SUPER_EA_AUDIT_PARAMS_MQH", + "", + ] + + lines += [f"// darvas_xau: {'PASS' if status.get('darvas_xau') else 'DISABLED'}"] + lines += emit_darvas(params_map.get("darvas_xau", {}), status.get("darvas_xau", False)) + + lines += [f"// ema_slope_unit: {'PASS' if status.get('ema_slope_unit') else 'DISABLED'}"] + lines += emit_ema_slope("EmaUnit", params_map.get("ema_slope_unit", {}), status.get("ema_slope_unit", False)) + + lines += [f"// ema_slope_trail: {'PASS' if status.get('ema_slope_trail') else 'DISABLED'}"] + lines += emit_ema_slope("EmaTrail", params_map.get("ema_slope_trail", {}), status.get("ema_slope_trail", False)) + + lines += [f"// mean_rev_btc: {'PASS' if status.get('mean_rev_btc') else 'DISABLED'}"] + lines += emit_mean_rev(params_map.get("mean_rev_btc", {}), status.get("mean_rev_btc", False)) + + lines += [f"// rsi_cross_xau: {'PASS' if status.get('rsi_cross_xau') else 'DISABLED'}"] + lines += emit_rsi_cross(params_map.get("rsi_cross_xau", {}), status.get("rsi_cross_xau", False)) + + for sid, fn in [ + ("rsi_asian_eur", "RsiAsianEur"), + ("rsi_asian_aud", "RsiAsianAud"), + ("rsi_asian_gbp", "RsiAsianGbp"), + ]: + lines += [f"// {sid}: {'PASS' if status.get(sid) else 'DISABLED'}"] + lines += emit_rsi_asian(fn, params_map.get(sid, {}), status.get(sid, False)) + + lines += [f"// rsi_secret_xau: {'PASS' if status.get('rsi_secret_xau') else 'DISABLED'}"] + lines += emit_rsi_secret(params_map.get("rsi_secret_xau", {}), status.get("rsi_secret_xau", False)) + + for sid in RSI_SCALP_IDS: + idx = RSI_INDEX[sid] + lines += [f"// {sid}: {'PASS' if status.get(sid) else 'DISABLED'}"] + lines += emit_rsi_scalp(idx, sid, params_map.get(sid, {}), status.get(sid, False)) + + lines += ["#endif", ""] + OUT_MQH.parent.mkdir(parents=True, exist_ok=True) + OUT_MQH.write_text("\n".join(lines), encoding="utf-8") + OUT_JSON.write_text(json.dumps(manifest, indent=2), encoding="utf-8") + passed = [k for k, v in status.items() if v] + print(f"Wrote {OUT_MQH}") + print(f"Wrote {OUT_JSON}") + print(f"Passed {len(passed)}/{len(STRATEGIES)}: {', '.join(passed) if passed else '(none)'}") + + +if __name__ == "__main__": + main() diff --git a/backtesting/MT5/cluster_audit/sync_united.py b/backtesting/MT5/cluster_audit/sync_united.py new file mode 100644 index 0000000..0d5756c --- /dev/null +++ b/backtesting/MT5/cluster_audit/sync_united.py @@ -0,0 +1,209 @@ +""" +Sync United EA audit results into main.mq5 defaults and generate .set file. + +Usage: + python -m cluster_audit.sync_united +""" + +from __future__ import annotations + +import json +import re +from datetime import datetime +from pathlib import Path + +from cluster_audit.scoring import DEFAULT_TRADES_PER_DAY, acceptance, period_days, trades_per_day +from cluster_audit.united_registry import PERIODS, UNITED_STRATEGIES + +REPORTS = Path(__file__).parent / "reports" / "united_sequential" +MAIN_MQ5 = Path(__file__).resolve().parents[3] / "frontline" / "cluster-latest" / "main.mq5" +OUT_SET = Path(__file__).resolve().parents[3] / "frontline" / "cluster-latest" / "UnitedEA_Optimized.set" +OUT_JSON = REPORTS / "united_manifest.json" + +# main.mq5 input name -> (strategy_id, param_key in optimized JSON) +PARAM_PATCHES: dict[str, tuple[str, str]] = { + "DB_BoxPeriod": ("united_darvas", "box_period"), + "DB_BoxDeviation": ("united_darvas", "box_deviation"), + "DB_StopLoss": ("united_darvas", "stop_loss_pts"), + "DB_TakeProfit": ("united_darvas", "take_profit_pts"), + "DB_MA_Period": ("united_darvas", "ma_period"), + "DB_TrendThreshold": ("united_darvas", "trend_threshold"), + "RC_overboughtLevel": ("united_rsi_cross", "overbought_level"), + "RC_oversoldLevel": ("united_rsi_cross", "oversold_level"), + "RC_emaSlopeThreshold": ("united_rsi_cross", "ema_slope_threshold"), + "RC_emaDistanceThreshold": ("united_rsi_cross", "ema_distance_threshold"), + "RS_APPL_RSI_Period": ("united_rsi_scalp_appl", "rsi_period"), + "RS_APPL_RSI_Overbought": ("united_rsi_scalp_appl", "rsi_overbought"), + "RS_APPL_RSI_Oversold": ("united_rsi_scalp_appl", "rsi_oversold"), + "RS_APPL_RSI_Target_Buy": ("united_rsi_scalp_appl", "rsi_target_buy"), + "RS_APPL_RSI_Target_Sell": ("united_rsi_scalp_appl", "rsi_target_sell"), + "RS_APPL_BarsToWait": ("united_rsi_scalp_appl", "bars_to_wait"), + "RS_APPL_TrailDistancePoints": ("united_rsi_scalp_appl", "trail_distance_pts"), + "RS_APPL_TrailActivationPoints": ("united_rsi_scalp_appl", "trail_activation_pts"), + "RS_BTCUSD_RSI_Period": ("united_rsi_scalp_btc", "rsi_period"), + "RS_BTCUSD_TrailDistancePoints": ("united_rsi_scalp_btc", "trail_distance_pts"), + "RS_XAUUSD_RSI_Period": ("united_rsi_scalp_xau", "rsi_period"), + "RS_XAUUSD_TrailDistancePoints": ("united_rsi_scalp_xau", "trail_distance_pts"), + "RRA_EURUSD_OverboughtLevel": ("united_rsi_asian_eur", "overbought_level"), + "RRA_EURUSD_OversoldLevel": ("united_rsi_asian_eur", "oversold_level"), + "RSS_RSIOverbought": ("united_rsi_secret", "rsi_overbought"), + "RSS_RSIOversold": ("united_rsi_secret", "rsi_oversold"), + "UB_MinRangePoints": ("united_usdjpy", "min_range_pts"), + "UB_OrderBufferPoints": ("united_usdjpy", "order_buffer_pts"), +} + +ENABLE_PATCHES: dict[str, str] = {s["enable_key"]: s["id"] for s in UNITED_STRATEGIES} + + +def load_report(sid: str) -> dict | None: + p = REPORTS / f"{sid}_2021-2026.json" + if not p.exists(): + # fallback cluster audit darvas + alt = Path(__file__).parent / "reports" / "sequential" / "darvas_xau_2021-2026.json" + if sid == "united_darvas" and alt.exists(): + r = json.loads(alt.read_text(encoding="utf-8")) + r["id"] = sid + return r + return None + return json.loads(p.read_text(encoding="utf-8")) + + +def evaluate(r: dict, days: int) -> tuple[bool, list[str]]: + from cluster_audit.backtest_core import BacktestReport + + o = r.get("optimized", {}) + rep = BacktestReport( + strategy_id=r["id"], + symbol=r.get("symbol", ""), + timeframe=r.get("timeframe", "H1"), + period_label="2021-2026", + net_profit=float(o.get("net_profit", 0)), + total_trades=int(o.get("total_trades", 0)), + win_rate=float(o.get("win_rate", 0)), + profit_factor=float(o.get("profit_factor", 0)), + sharpe=float(o.get("sharpe", 0)), + max_drawdown_pct=float(o.get("max_drawdown_pct", 0)), + avg_win=float(o.get("avg_win", 0)), + avg_loss=float(o.get("avg_loss", 0)), + worst_trades=o.get("worst_trades", []), + losing_trades=o.get("losing_trades", []), + exit_reason_breakdown=o.get("exit_reason_breakdown", {}), + monthly_returns=o.get("monthly_returns", {}), + params=o.get("params", {}), + ) + return acceptance(rep, days, DEFAULT_TRADES_PER_DAY) + + +def patch_main_mqh(text: str, manifest: dict) -> str: + params_by_sid = {k: v.get("params", {}) for k, v in manifest["strategies"].items()} + + for input_name, (sid, pkey) in PARAM_PATCHES.items(): + params = params_by_sid.get(sid, {}) + if pkey not in params: + continue + val = params[pkey] + if isinstance(val, bool): + lit = "true" if val else "false" + elif isinstance(val, float): + lit = str(val) if "." in str(val) else f"{val}.0" + else: + lit = str(val) + text, n = re.subn( + rf"(^input\s+\w+\s+{re.escape(input_name)}\s*=\s*)[^;]+;", + rf"\g<1>{lit};", + text, + count=1, + flags=re.MULTILINE, + ) + if n: + print(f" patched {input_name}={lit}") + + for enable_key, sid in ENABLE_PATCHES.items(): + info = manifest["strategies"].get(sid, {}) + if info.get("status") == "no_report" or "passed" not in info: + continue + if not info.get("passed"): + continue # keep main.mq5 enable flags; only auto-enable winners + lit = "true" + text, n = re.subn( + rf"(^input bool {re.escape(enable_key)}\s*=\s*)[^;]+;", + rf"\g<1>{lit};", + text, + count=1, + flags=re.MULTILINE, + ) + if n: + print(f" enable {enable_key}={lit}") + + return text + + +def write_set_file(manifest: dict) -> None: + lines = [ + "; UnitedEA_Optimized.set — generated from united sequential audit", + f"; {datetime.now().isoformat()}", + "", + ] + for spec in UNITED_STRATEGIES: + sid = spec["id"] + info = manifest["strategies"].get(sid, {}) + passed = info.get("passed", False) + lines.append(f"; {sid}: {'PASS' if passed else 'DISABLED'}") + lines.append(f"{spec['enable_key']}={'true' if passed else 'false'}") + lines.append(f"{spec['lot_key']}={spec['lot']}") + for k, v in info.get("params", {}).items(): + lines.append(f"; {k}={v}") + lines.append("") + OUT_SET.write_text("\n".join(lines), encoding="utf-8") + + +def main() -> None: + start, end = PERIODS["2021-2026"] + days = period_days(start, end) + manifest: dict = { + "generated": datetime.now().isoformat(), + "period_days": days, + "strategies": {}, + } + + for spec in UNITED_STRATEGIES: + sid = spec["id"] + r = load_report(sid) + if not r: + manifest["strategies"][sid] = {"passed": False, "status": "no_report"} + continue + params = r.get("optimized_params") or r.get("optimized", {}).get("params", {}) + ok, issues = evaluate(r, days) + o = r.get("optimized", {}) + manifest["strategies"][sid] = { + "passed": ok, + "enable_key": spec["enable_key"], + "lot_key": spec["lot_key"], + "lot": spec["lot"], + "trades": o.get("total_trades"), + "trades_per_day": round(trades_per_day( + type("R", (), {"total_trades": int(o.get("total_trades", 0))})(), days), 3), + "net_profit": o.get("net_profit"), + "profit_factor": o.get("profit_factor"), + "sharpe": o.get("sharpe"), + "issues": issues, + "params": params, + } + + if MAIN_MQ5.exists(): + text = MAIN_MQ5.read_text(encoding="utf-8") + print(f"Patching {MAIN_MQ5}") + text = patch_main_mqh(text, manifest) + MAIN_MQ5.write_text(text, encoding="utf-8") + + REPORTS.mkdir(parents=True, exist_ok=True) + OUT_JSON.write_text(json.dumps(manifest, indent=2), encoding="utf-8") + write_set_file(manifest) + passed = [k for k, v in manifest["strategies"].items() if v.get("passed")] + print(f"Wrote {OUT_JSON}") + print(f"Wrote {OUT_SET}") + print(f"Passed {len(passed)}/{len(UNITED_STRATEGIES)}: {', '.join(passed) if passed else '(none)'}") + + +if __name__ == "__main__": + main() diff --git a/backtesting/MT5/cluster_audit/trace_log.py b/backtesting/MT5/cluster_audit/trace_log.py new file mode 100644 index 0000000..ba8552f --- /dev/null +++ b/backtesting/MT5/cluster_audit/trace_log.py @@ -0,0 +1,85 @@ +"""Timestamped trace logging for cluster audit runs.""" + +from __future__ import annotations + +import sys +import time +from datetime import datetime + + +class TraceLog: + def __init__(self, enabled: bool = True, trial_every: int = 10) -> None: + self.enabled = enabled + self.trial_every = max(1, trial_every) + self._t0 = time.perf_counter() + self._phase_t0 = self._t0 + + def _ts(self) -> str: + return datetime.now().strftime("%H:%M:%S") + + def _elapsed(self) -> str: + return f"{time.perf_counter() - self._t0:.1f}s" + + def _phase_elapsed(self) -> str: + return f"{time.perf_counter() - self._phase_t0:.1f}s" + + def _write(self, level: str, msg: str) -> None: + if not self.enabled: + return + line = f"[{self._ts()} +{self._elapsed()}] [{level}] {msg}" + print(line, flush=True) + + def phase_start(self, name: str) -> None: + self._phase_t0 = time.perf_counter() + self._write("PHASE", f">> {name}") + + def phase_end(self, name: str, detail: str = "") -> None: + suffix = f" -- {detail}" if detail else "" + self._write("PHASE", f"OK {name} ({self._phase_elapsed()}){suffix}") + + def info(self, msg: str) -> None: + self._write("INFO", msg) + + def debug(self, msg: str) -> None: + self._write("DEBUG", msg) + + def warn(self, msg: str) -> None: + self._write("WARN", msg) + + def error(self, msg: str) -> None: + self._write("ERROR", msg) + + def banner(self, msg: str) -> None: + if not self.enabled: + return + bar = "=" * min(72, max(len(msg) + 4, 40)) + print(f"\n{bar}\n {msg}\n{bar}", flush=True) + + def progress(self, current: int, total: int, label: str) -> None: + pct = (100.0 * current / total) if total else 0.0 + self._write("PROGRESS", f"[{current}/{total} {pct:.0f}%] {label}") + + def trial(self, n: int, total: int, score: float, net: float, sharpe: float, improved: bool) -> None: + if n % self.trial_every != 0 and n != total and not improved: + return + flag = " ** NEW BEST" if improved else "" + score_s = "N/A" if score == float("-inf") else f"{score:.2f}" + self._write( + "TRIAL", + f"{n}/{total} score={score_s} net=${net:.0f} sharpe={sharpe:.2f}{flag}", + ) + + def report_line(self, strategy_id: str, baseline: dict, optimized: dict, bars: int) -> None: + b, o = baseline, optimized + self._write( + "RESULT", + f"{strategy_id}: bars={bars} | " + f"base net=${b['net_profit']:.0f} sh={b['sharpe']:.2f} trades={b['total_trades']} dd={b['max_drawdown_pct']:.1f}% | " + f"opt net=${o['net_profit']:.0f} sh={o['sharpe']:.2f} trades={o['total_trades']} dd={o['max_drawdown_pct']:.1f}%", + ) + if b.get("worst_trades"): + w = b["worst_trades"][0] + self.debug( + f" worst loss: ${w['profit']:.2f} {w['side']} {w['exit_reason']} " + f"({w['open_time']} -> {w['close_time']})" + ) diff --git a/backtesting/MT5/cluster_audit/tweak_manifest.py b/backtesting/MT5/cluster_audit/tweak_manifest.py new file mode 100644 index 0000000..2a00e59 --- /dev/null +++ b/backtesting/MT5/cluster_audit/tweak_manifest.py @@ -0,0 +1,148 @@ +"""Per-strategy 'small trick' candidates for elimination audits.""" + +from __future__ import annotations + +# Each trick: human label + param overrides (applied on top of 123.set solo baseline). +STRATEGY_TWEAKS: dict[str, list[dict]] = { + "DB": [ + {"name": "close_on", "params": {"DB_CloseUnprofitableOnNewSignal": True}}, + {"name": "tighter_sl", "params": {"DB_StopLoss": 1400}}, + {"name": "wider_tp", "params": {"DB_TakeProfit": 4200}}, + {"name": "shorter_box", "params": {"DB_BoxPeriod": 140}}, + {"name": "no_volume_filter", "params": {"DB_UseVolumeSpikeFilter": False}}, + {"name": "lower_trend_thresh", "params": {"DB_TrendThreshold": 3.8}}, + ], + "ES": [ + {"name": "tighter_trail", "params": {"ES_TrailingStop": 280}}, + {"name": "wider_trail", "params": {"ES_TrailingStop": 420}}, + {"name": "faster_profit_check", "params": {"ES_ProfitCheckBars": 12}}, + {"name": "stale_sl_exit", "params": {"ES_UseStaleStopLossExit": True}}, + {"name": "lower_adx_gate", "params": {"ES_WeeklyADXMin": 35}}, + {"name": "more_trades_per_x", "params": {"ES_MaxTradesPerCrossover": 12}}, + ], + "RC": [ + {"name": "close_on", "params": {"RC_CloseUnprofitableOnNewSignal": True}}, + {"name": "short_cooldown", "params": {"RC_cooldownSeconds": 120}}, + {"name": "long_cooldown", "params": {"RC_cooldownSeconds": 300}}, + {"name": "tighter_trail", "params": {"RC_TrailingStop": 220}}, + {"name": "looser_ema_slope", "params": {"RC_emaSlopeThreshold": 90}}, + {"name": "rsi_exit_tighter", "params": {"RC_exitBuyRSI": 82, "RC_exitSellRSI": 14}}, + ], + "RM": [ + {"name": "close_on", "params": {"RM_CloseUnprofitableOnNewSignal": True}}, + {"name": "short_reverse_cd", "params": {"RM_InpRSIReverseCooldownBars": 8}}, + {"name": "ema_cross_only", "params": {"RM_InpEnableRSIFollow": False, "RM_InpEnableRSIReverse": False}}, + {"name": "rsi_follow_only", "params": {"RM_InpEnableRSIReverse": False, "RM_InpEnableEMACross": False}}, + {"name": "tighter_ema_dist", "params": {"RM_InpEMADistancePips": 120}}, + {"name": "close_outside_hours", "params": {"RM_InpRSIFollowCloseOutsideHours": True}}, + ], + "RS_APPL": [ + {"name": "close_on", "params": {"RS_APPL_CloseUnprofitableOnNewSignal": True}}, + {"name": "faster_bars", "params": {"RS_APPL_BarsToWait": 5}}, + {"name": "trail_activate_50", "params": {"RS_APPL_TrailActivationPoints": 50}}, + {"name": "tighter_trail", "params": {"RS_APPL_TrailDistancePoints": 80}}, + {"name": "wider_targets", "params": {"RS_APPL_RSI_Target_Buy": 92, "RS_APPL_RSI_Target_Sell": 40}}, + ], + "RS_ADBE": [ + {"name": "close_on", "params": {"RS_ADBE_CloseUnprofitableOnNewSignal": True}}, + {"name": "faster_bars", "params": {"RS_ADBE_BarsToWait": 6}}, + {"name": "trail_activate_10", "params": {"RS_ADBE_TrailActivationPoints": 10}}, + {"name": "tighter_trail", "params": {"RS_ADBE_TrailDistancePoints": 350}}, + ], + "RS_BTCUSD": [ + {"name": "close_on", "params": {"RS_BTCUSD_CloseUnprofitableOnNewSignal": True}}, + {"name": "faster_bars", "params": {"RS_BTCUSD_BarsToWait": 4}}, + {"name": "trail_activate_30", "params": {"RS_BTCUSD_TrailActivationPoints": 30}}, + {"name": "tighter_trail", "params": {"RS_BTCUSD_TrailDistancePoints": 90}}, + {"name": "reversal_escape_off", "params": {"RS_UseReversalEscape": False}}, + ], + "RS_NVDA": [ + {"name": "close_on", "params": {"RS_NVDA_CloseUnprofitableOnNewSignal": True}}, + {"name": "faster_bars", "params": {"RS_NVDA_BarsToWait": 3}}, + {"name": "tighter_trail", "params": {"RS_NVDA_TrailDistancePoints": 280}}, + {"name": "lower_trail_act", "params": {"RS_NVDA_TrailActivationPoints": 50}}, + {"name": "wider_ob_os", "params": {"RS_NVDA_RSI_Overbought": 40, "RS_NVDA_RSI_Oversold": 35}}, + ], + "RS_TSLA": [ + {"name": "faster_bars", "params": {"RS_TSLA_BarsToWait": 2}}, + {"name": "trail_act_400", "params": {"RS_TSLA_TrailActivationPoints": 400}}, + {"name": "trail_act_600", "params": {"RS_TSLA_TrailActivationPoints": 600}}, + {"name": "tighter_trail", "params": {"RS_TSLA_TrailDistancePoints": 700}}, + {"name": "wider_trail", "params": {"RS_TSLA_TrailDistancePoints": 1100}}, + ], + "RS_XAUUSD": [ + {"name": "faster_bars", "params": {"RS_XAUUSD_BarsToWait": 3}}, + {"name": "lower_trail_act", "params": {"RS_XAUUSD_TrailActivationPoints": 25}}, + {"name": "tighter_trail", "params": {"RS_XAUUSD_TrailDistancePoints": 55}}, + {"name": "wider_trail", "params": {"RS_XAUUSD_TrailDistancePoints": 90}}, + {"name": "reversal_escape_off", "params": {"RS_UseReversalEscape": False}}, + ], + "RS_MU": [ + {"name": "close_on", "params": {"RS_MU_CloseUnprofitableOnNewSignal": True}}, + {"name": "faster_bars", "params": {"RS_MU_BarsToWait": 20}}, + {"name": "symbol_munas", "params": {"RS_MU_Symbol": "MU.NAS"}}, + {"name": "symbol_muus", "params": {"RS_MU_Symbol": "MU.US"}}, + {"name": "looser_ob_os", "params": {"RS_MU_RSI_Overbought": 40, "RS_MU_RSI_Oversold": 75}}, + ], + "SE": [ + {"name": "close_on", "params": {"SE_CloseUnprofitableOnNewSignal": True}}, + {"name": "exit_trend_flip", "params": {"SE_ExitOnTrendFlip": True}}, + {"name": "shorter_hold", "params": {"SE_MaxHoldingBars": 120}}, + {"name": "longer_hold", "params": {"SE_MaxHoldingBars": 220}}, + {"name": "structural_sl", "params": {"SE_UseStructuralSL": True}}, + {"name": "cci_looser", "params": {"SE_CciOversold": -120}}, + ], + "RCO": [ + {"name": "close_on", "params": {"RCO_CloseUnprofitableOnNewSignal": True}}, + {"name": "higher_adx_cap", "params": {"RCO_ADX_Max": 32}}, + {"name": "tighter_sl", "params": {"RCO_SL_ATR_Mult": 1.9}}, + {"name": "wider_tp", "params": {"RCO_TP_ATR_Mult": 2.7}}, + {"name": "shorter_max_bars", "params": {"RCO_MaxBarsInTrade": 40}}, + ], + "RRA_EUR": [ + {"name": "close_on", "params": {"RRA_EURUSD_CloseUnprofitableOnNewSignal": True}}, + {"name": "shorter_duration", "params": {"RRA_EURUSD_MaxDuration": 200}}, + {"name": "close_outside", "params": {"RRA_EURUSD_CloseOutsideSession": True}}, + {"name": "rsi_exit_50", "params": {"RRA_EURUSD_RSIExitLevel": 50}}, + {"name": "tighter_os", "params": {"RRA_EURUSD_OversoldLevel": 12}}, + ], + "RRA_AUD": [ + {"name": "close_on", "params": {"RRA_AUDUSD_CloseUnprofitableOnNewSignal": True}}, + {"name": "shorter_duration", "params": {"RRA_AUDUSD_MaxDuration": 250}}, + {"name": "no_close_outside", "params": {"RRA_AUDUSD_CloseOutsideSession": False}}, + {"name": "tighter_os", "params": {"RRA_AUDUSD_OversoldLevel": 28}}, + {"name": "rsi_exit_45", "params": {"RRA_AUDUSD_RSIExitLevel": 45}}, + ], + "ST_BTC": [ + {"name": "close_on", "params": {"ST_BTC_CloseUnprofitableOnNewSignal": True}}, + {"name": "tighter_break", "params": {"ST_BTC_BreakBuffer": 70}}, + {"name": "looser_touch", "params": {"ST_BTC_LineTouchTolerance": 150}}, + {"name": "longer_ma", "params": {"ST_BTC_MAPeriod": 180}}, + ], + "ST_XAU": [ + {"name": "close_on", "params": {"ST_XAU_CloseUnprofitableOnNewSignal": True}}, + {"name": "tighter_break", "params": {"ST_XAU_BreakBuffer": 90}}, + {"name": "shorter_ma", "params": {"ST_XAU_MAPeriod": 55}}, + {"name": "looser_touch", "params": {"ST_XAU_LineTouchTolerance": 260}}, + ], + "ST_GER": [ + {"name": "close_on", "params": {"ST_GER_CloseUnprofitableOnNewSignal": True}}, + {"name": "tighter_break", "params": {"ST_GER_BreakBuffer": 60}}, + {"name": "looser_touch", "params": {"ST_GER_LineTouchTolerance": 120}}, + {"name": "longer_ma", "params": {"ST_GER_MAPeriod": 80}}, + ], + "RSS": [ + {"name": "close_on", "params": {"RSS_CloseUnprofitableOnNewSignal": True}}, + {"name": "swing_sl", "params": {"RSS_UseSwingStopLoss": True}}, + {"name": "shorter_cooldown", "params": {"RSS_MinBarsBetweenTrades": 4}}, + {"name": "tighter_sl_atr", "params": {"RSS_StopLossATR": 2.2}}, + ], + "UB": [ + {"name": "close_on", "params": {"UB_CloseUnprofitableOnNewSignal": True}}, + {"name": "min_range_12", "params": {"UB_MinRangePoints": 12}}, + {"name": "order_buf_35", "params": {"UB_OrderBufferPoints": 3.5}}, + {"name": "first_trade_only", "params": {"UB_FirstTradeOnly": True}}, + {"name": "wider_range", "params": {"UB_MinRangePoints": 18}}, + {"name": "tighter_buffer", "params": {"UB_OrderBufferPoints": 3.0}}, + ], +} diff --git a/backtesting/MT5/cluster_audit/united_mt5_manifest.py b/backtesting/MT5/cluster_audit/united_mt5_manifest.py new file mode 100644 index 0000000..a2cf8cf --- /dev/null +++ b/backtesting/MT5/cluster_audit/united_mt5_manifest.py @@ -0,0 +1,112 @@ +"""United EA sub-strategy manifest for MT5 solo audits (123.set).""" + +from __future__ import annotations + +UNITED_MT5_STRATEGIES: list[dict] = [ + {"id": "DB", "name": "DarvasBox", "enable": "EnableDarvasBox", "close": "DB_CloseUnprofitableOnNewSignal", "lot": "LOT_DB_DarvasBox"}, + {"id": "ES", "name": "EMASlopeDistance", "enable": "EnableEMASlopeDistance", "close": "ES_CloseUnprofitableOnNewSignal", "lot": "LOT_ES_EMASlopeDistance"}, + {"id": "RC", "name": "RSICrossOverReversal", "enable": "EnableRSICrossOverReversal", "close": "RC_CloseUnprofitableOnNewSignal", "lot": "LOT_RC_RSICrossOver"}, + {"id": "RM", "name": "RSIMidPointHijack", "enable": "EnableRSIMidPointHijack", "close": "RM_CloseUnprofitableOnNewSignal", "lot": "LOT_RM_RSIMidPointHijack"}, + {"id": "RS_APPL", "name": "RSIScalping APPL", "enable": "EnableRSIScalpingAPPL", "close": "RS_APPL_CloseUnprofitableOnNewSignal", "lot": "LOT_RS_APPL", "test_symbol": "AAPL.NAS", "lot_class": "stock"}, + {"id": "RS_ADBE", "name": "RSIScalping ADBE", "enable": "EnableRSIScalpingADBE", "close": "RS_ADBE_CloseUnprofitableOnNewSignal", "lot": "LOT_RS_ADBE", "test_symbol": "ADBE.NAS", "lot_class": "stock"}, + {"id": "RS_BTCUSD", "name": "RSIScalping BTCUSD", "enable": "EnableRSIScalpingBTCUSD", "close": "RS_BTCUSD_CloseUnprofitableOnNewSignal", "lot": "LOT_RS_BTCUSD"}, + {"id": "RS_NVDA", "name": "RSIScalping NVDA", "enable": "EnableRSIScalpingNVDA", "close": "RS_NVDA_CloseUnprofitableOnNewSignal", "lot": "LOT_RS_NVDA", "test_symbol": "NVDA.NAS", "lot_class": "stock"}, + {"id": "RS_TSLA", "name": "RSIScalping TSLA", "enable": "EnableRSIScalpingTSLA", "close": "RS_TSLA_CloseUnprofitableOnNewSignal", "lot": "LOT_RS_TSLA", "test_symbol": "TSLA.NAS", "lot_class": "stock"}, + {"id": "RS_XAUUSD", "name": "RSIScalping XAUUSD", "enable": "EnableRSIScalpingXAUUSD", "close": "RS_XAUUSD_CloseUnprofitableOnNewSignal", "lot": "LOT_RS_XAUUSD"}, + {"id": "RS_MU", "name": "RSIScalping MU", "enable": "EnableRSIScalpingMU", "close": "RS_MU_CloseUnprofitableOnNewSignal", "lot": "LOT_RS_MU"}, + {"id": "SE", "name": "SuperEMA", "enable": "EnableSuperEMA", "close": "SE_CloseUnprofitableOnNewSignal", "lot": "LOT_SE_SuperEMA"}, + {"id": "RCO", "name": "RSIConsolidation", "enable": "EnableRSIConsolidation", "close": "RCO_CloseUnprofitableOnNewSignal", "lot": "LOT_RCO_RSIConsolidation"}, + {"id": "RRA_EUR", "name": "RSI Asian EURUSD", "enable": "EnableRSIReversalAsianEURUSD", "close": "RRA_EURUSD_CloseUnprofitableOnNewSignal", "lot": "LOT_RRA_EURUSD"}, + {"id": "RRA_AUD", "name": "RSI Asian AUDUSD", "enable": "EnableRSIReversalAsianAUDUSD", "close": "RRA_AUDUSD_CloseUnprofitableOnNewSignal", "lot": "LOT_RRA_AUDUSD"}, + {"id": "ST_BTC", "name": "SimpleTrendline BTC", "enable": "EnableSimpleTrendlineBTCUSD", "close": "ST_BTC_CloseUnprofitableOnNewSignal", "lot": "LOT_ST_BTCUSD"}, + {"id": "ST_XAU", "name": "SimpleTrendline XAU", "enable": "EnableSimpleTrendlineXAUUSD", "close": "ST_XAU_CloseUnprofitableOnNewSignal", "lot": "LOT_ST_XAUUSD"}, + {"id": "ST_GER", "name": "SimpleTrendline GER40", "enable": "EnableSimpleTrendlineGER40", "close": "ST_GER_CloseUnprofitableOnNewSignal", "lot": "LOT_ST_GER40"}, + {"id": "RSS", "name": "RSISecretSauce", "enable": "EnableRSISecretSauce", "close": "RSS_CloseUnprofitableOnNewSignal", "lot": "LOT_RSS_SecretSauce"}, + {"id": "UB", "name": "USDJPYBuster", "enable": "EnableUSDJPYBuster", "close": "UB_CloseUnprofitableOnNewSignal", "lot": "LOT_UB_USDJPY"}, + {"id": "XBT", "name": "XAUBearTrend", "enable": "EnableXAUBearTrend", "close": "XBT_CloseUnprofitableOnNewSignal", "lot": "LOT_XBT_XAUUSD"}, + {"id": "XMB", "name": "XAUMomentumBreakdown", "enable": "EnableXAUMomentumBreakdown", "close": "XMB_CloseUnprofitableOnNewSignal", "lot": "LOT_XMB_XAUUSD"}, + {"id": "RRA_GBP", "name": "RSI Asian GBPUSD", "enable": "EnableRSIReversalAsianGBPUSD", "close": "RRA_GBPUSD_CloseUnprofitableOnNewSignal", "lot": "LOT_RRA_GBPUSD"}, + {"id": "GB", "name": "GER40Buster", "enable": "EnableGER40Buster", "close": "GB_CloseUnprofitableOnNewSignal", "lot": "LOT_GB_GER40"}, + {"id": "RS_NAS100", "name": "RSIScalping NAS100", "enable": "EnableRSIScalpingNAS100", "close": "RS_NAS100_CloseUnprofitableOnNewSignal", "lot": "LOT_RS_NAS100"}, + {"id": "RS_US500", "name": "RSIScalping US500", "enable": "EnableRSIScalpingUS500", "close": "RS_US500_CloseUnprofitableOnNewSignal", "lot": "LOT_RS_US500"}, + {"id": "RRA_USDCHF", "name": "RSI Asian USDCHF", "enable": "EnableRSIReversalAsianUSDCHF", "close": "RRA_USDCHF_CloseUnprofitableOnNewSignal", "lot": "LOT_RRA_USDCHF"}, + {"id": "RRA_NZDUSD", "name": "RSI Asian NZDUSD", "enable": "EnableRSIReversalAsianNZDUSD", "close": "RRA_NZDUSD_CloseUnprofitableOnNewSignal", "lot": "LOT_RRA_NZDUSD"}, + {"id": "NB", "name": "NAS100Buster", "enable": "EnableNAS100Buster", "close": "NB_CloseUnprofitableOnNewSignal", "lot": "LOT_NB_NAS100"}, + {"id": "U5B", "name": "US500Buster", "enable": "EnableUS500Buster", "close": "U5B_CloseUnprofitableOnNewSignal", "lot": "LOT_U5B_US500"}, + {"id": "RS_US30", "name": "RSIScalping US30", "enable": "EnableRSIScalpingUS30", "close": "RS_US30_CloseUnprofitableOnNewSignal", "lot": "LOT_RS_US30"}, + {"id": "RS_XAGUSD", "name": "RSIScalping XAGUSD", "enable": "EnableRSIScalpingXAGUSD", "close": "RS_XAGUSD_CloseUnprofitableOnNewSignal", "lot": "LOT_RS_XAGUSD"}, + {"id": "RS_EURJPY", "name": "RSIScalping EURJPY", "enable": "EnableRSIScalpingEURJPY", "close": "RS_EURJPY_CloseUnprofitableOnNewSignal", "lot": "LOT_RS_EURJPY"}, + {"id": "RS_GBPJPY", "name": "RSIScalping GBPJPY", "enable": "EnableRSIScalpingGBPJPY", "close": "RS_GBPJPY_CloseUnprofitableOnNewSignal", "lot": "LOT_RS_GBPJPY"}, + {"id": "U30B", "name": "US30Buster", "enable": "EnableUS30Buster", "close": "U30B_CloseUnprofitableOnNewSignal", "lot": "LOT_U30B_US30"}, + {"id": "UKB", "name": "UK100Buster", "enable": "EnableUK100Buster", "close": "UKB_CloseUnprofitableOnNewSignal", "lot": "LOT_UKB_UK100"}, + {"id": "XGB", "name": "XAGUSDBuster", "enable": "EnableXAGUSDBuster", "close": "XGB_CloseUnprofitableOnNewSignal", "lot": "LOT_XGB_XAGUSD"}, + {"id": "RS_F", "name": "RSIScalping F", "enable": "EnableRSIScalpingF", "close": "RS_F_CloseUnprofitableOnNewSignal", "lot": "LOT_RS_F", "test_symbol": "F.NYS"}, + {"id": "RS_SOFI", "name": "RSIScalping SOFI", "enable": "EnableRSIScalpingSOFI", "close": "RS_SOFI_CloseUnprofitableOnNewSignal", "lot": "LOT_RS_SOFI", "test_symbol": "SOFI.NAS"}, + {"id": "RS_SNAP", "name": "RSIScalping SNAP", "enable": "EnableRSIScalpingSNAP", "close": "RS_SNAP_CloseUnprofitableOnNewSignal", "lot": "LOT_RS_SNAP", "test_symbol": "SNAP.NYS"}, + {"id": "RS_WBD", "name": "RSIScalping WBD", "enable": "EnableRSIScalpingWBD", "close": "RS_WBD_CloseUnprofitableOnNewSignal", "lot": "LOT_RS_WBD", "test_symbol": "WBD.NAS"}, +] + +ALL_ENABLE_KEYS = [s["enable"] for s in UNITED_MT5_STRATEGIES] + +# Round-1 expansion (retired except survivor). +EXPANSION_RETIRED_IDS = ( + "XBT", "XMB", "RRA_GBP", "GB", "RS_US500", "RRA_USDCHF", "RRA_NZDUSD", "NB", "U5B", +) + +# Survivor kept on baseline + enhanced. +SURVIVOR_IDS = ("RS_NAS100", "RS_US30", "UKB") + +# Round-2 candidates (audited; non-survivors stay off). +ROUND2_IDS = ( + "RS_US30", "RS_XAGUSD", "RS_EURJPY", "RS_GBPJPY", "U30B", "UKB", "XGB", +) + +# Round-3 low-margin stock candidates (~$1–2 margin per share @ 5% leverage). +ROUND3_IDS = ("RS_F", "RS_SOFI", "RS_SNAP", "RS_WBD") + +# High share-price stocks — force off in expansion audits (margin call risk). +HIGH_MARGIN_STOCK_ENABLES = ("EnableRSIScalpingMU",) + +# Production cluster (matches main.mq5 defaults). +PRODUCTION_IDS: tuple[str, ...] = ( + "DB", "ES", "RC", "RM", + "RS_NVDA", "RS_TSLA", + "RS_BTCUSD", "RS_XAUUSD", "SE", "ST_BTC", "ST_XAU", + "RRA_AUD", "RRA_GBP", "UB", + "RS_NAS100", "RS_US30", "UKB", "GB", "U5B", +) + +LOT_GRIDS: dict[str, list[float]] = { + "stock": [5.0, 10.0, 15.0], + "index": [0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1], + "forex": [0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1], + "gold": [0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1], + "crypto": [0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1], +} + +LOT_GENETIC_RANGE: dict[str, tuple[float, float, float]] = { + "stock": (5.0, 5.0, 15.0), + "default": (0.01, 0.01, 0.1), +} + +LOT_CLASS_BY_ID: dict[str, str] = { + "DB": "gold", "ES": "gold", "RC": "gold", "RM": "gold", + "RS_XAUUSD": "gold", "ST_XAU": "gold", "XBT": "gold", "XMB": "gold", "XGB": "gold", + "RS_APPL": "stock", "RS_ADBE": "stock", "RS_NVDA": "stock", "RS_TSLA": "stock", "RS_MU": "stock", + "RS_F": "stock", "RS_SOFI": "stock", "RS_SNAP": "stock", "RS_WBD": "stock", + "RS_NAS100": "index", "RS_US500": "index", "RS_US30": "index", "UKB": "index", + "NB": "index", "U5B": "index", "U30B": "index", "GB": "index", + "RRA_EUR": "forex", "RRA_AUD": "forex", "RRA_GBP": "forex", "RRA_USDCHF": "forex", "RRA_NZDUSD": "forex", + "UB": "forex", "RS_EURJPY": "forex", "RS_GBPJPY": "forex", + "RS_BTCUSD": "crypto", "ST_BTC": "crypto", + "ST_GER": "index", "RS_XAGUSD": "gold", +} + +PARAM_TWEAKS: dict[str, list[dict]] = { + "ES": [{"ES_TrailingStop": 250}, {"ES_TrailingStop": 300, "ES_ProfitCheckBars": 12}], + "RC": [{"RC_cooldownSeconds": 120}, {"RC_TrailingStop": 250}], + "RS_NVDA": [{"RS_NVDA_BarsToWait": 3}, {"RS_NVDA_TrailDistancePoints": 300}], + "RS_TSLA": [{"RS_TSLA_BarsToWait": 2}, {"RS_TSLA_TrailActivationPoints": 500}], + "RCO": [{"RCO_ADX_Max": 32}, {"RCO_SL_ATR_Mult": 1.9}], + "UB": [{"UB_MinRangePoints": 12}, {"UB_OrderBufferPoints": 3.5}], +} diff --git a/backtesting/MT5/cluster_audit/united_mt5_runner.py b/backtesting/MT5/cluster_audit/united_mt5_runner.py new file mode 100644 index 0000000..7d9e656 --- /dev/null +++ b/backtesting/MT5/cluster_audit/united_mt5_runner.py @@ -0,0 +1,488 @@ +"""MT5 Strategy Tester runner for United EA (cluster-latest/main.mq5).""" + +from __future__ import annotations + +import os +import re +import shutil +import subprocess +import time +from pathlib import Path + +import MetaTrader5 as mt5 + +CLUSTER = Path(__file__).resolve().parents[3] / "frontline" / "cluster-latest" +BASE_SET = CLUSTER / "123.set" +DEPOSIT = 3000 +LEVERAGE = 1000 +FROM_DATE = "2023.07.01" +TO_DATE = "2026.06.01" +TEST_SYMBOL = "NAS100" +TEST_PERIOD = "H1" + +LABELS = { + "profit_factor": ("Profit Factor", "盈利因子"), + "net_profit": ("Total Net Profit", "总净盈利"), + "total_trades": ("Total Trades", "交易总计"), + "sharpe": ("Sharpe Ratio", "夏普比率"), + "equity_dd": ("Equity Drawdown Maximal", "最大回撤"), + "margin_level": ("Minimal margin level", "最低保证金比例"), +} + + +def read_text(path: Path) -> str: + raw = path.read_bytes() + for enc in ("utf-16", "utf-16-le", "utf-8", "cp1252"): + try: + text = raw.decode(enc) + if text.strip(): + return text + except UnicodeError: + continue + return raw.decode("utf-8", errors="ignore") + + +def grab_metric(text: str, key: str) -> str | None: + for label in LABELS[key]: + for pat in ( + rf">{re.escape(label)}\s*]*>(?:)?([^<]+)", + rf">{re.escape(label)}:\s*]*>(?:)?([^<]+)", + rf">{re.escape(label)}\s*]*>([^<]+)", + ): + m = re.search(pat, text, re.I) + if m: + return m.group(1).strip() + return None + + +def parse_report(data: Path, report: str) -> dict: + candidates = [data / f"{report}{ext}" for ext in (".htm", ".html")] + candidates += sorted(data.glob(f"**/{report}*.htm*"), key=lambda p: p.stat().st_mtime, reverse=True) + seen: set[Path] = set() + for path in candidates: + if path in seen or not path.exists(): + continue + seen.add(path) + text = read_text(path) + pf = grab_metric(text, "profit_factor") + profit = grab_metric(text, "net_profit") + trades = grab_metric(text, "total_trades") + sharpe = grab_metric(text, "sharpe") + dd = grab_metric(text, "equity_dd") + ml = grab_metric(text, "margin_level") + if pf or profit or trades: + return { + "profit_factor": float(pf) if pf else None, + "net_profit": _num(profit), + "total_trades": int(float(trades)) if trades and trades[0].isdigit() else _int(trades), + "sharpe": float(sharpe) if sharpe else None, + "max_drawdown": dd, + "min_margin_level": ml, + "report": str(path), + "ready": True, + } + return {"ready": False} + + +def _num(s: str | None) -> float | None: + if not s: + return None + s = s.replace(" ", "").replace(",", "") + if s.endswith("%"): + return float(s[:-1]) + return float(s) + + +def _int(s: str | None) -> int | None: + if not s: + return None + try: + return int(float(s.replace(" ", "").replace(",", ""))) + except ValueError: + return None + + +KNOWN_TERMINALS = [ + Path(r"C:\Program Files\MetaTrader 5\terminal64.exe"), +] + + +def _terminal_data_dirs() -> list[Path]: + root = Path.home() / "AppData" / "Roaming" / "MetaQuotes" / "Terminal" + if not root.is_dir(): + return [] + return [p for p in root.iterdir() if p.is_dir() and (p / "origin.txt").exists()] + + +def _read_origin(path: Path) -> str: + raw = path.read_bytes() + for enc in ("utf-8", "utf-16", "utf-16-le", "cp1252"): + try: + return raw.decode(enc).strip() + except UnicodeError: + continue + return raw.decode("utf-8", errors="ignore").strip() + + +def _load_dotenv() -> None: + env_path = Path(__file__).resolve().parents[3] / ".env" + if not env_path.is_file(): + return + for line in env_path.read_text(encoding="utf-8", errors="ignore").splitlines(): + line = line.strip() + if not line or line.startswith("#") or "=" not in line: + continue + key, val = line.split("=", 1) + key, val = key.strip(), val.strip().strip('"').strip("'") + if key and key not in os.environ: + os.environ[key] = val + + +_load_dotenv() +MT5_TERMINAL_DATA_ID = os.environ.get("MT5_TERMINAL_DATA_ID", "").strip() +# Back-compat alias for scripts that import PREFERRED_DATA_ID +PREFERRED_DATA_ID = MT5_TERMINAL_DATA_ID + + +def mt5_terminal_data_dir() -> Path | None: + """MT5 data folder: MT5_TERMINAL_DATA_ID env, else first terminal with origin.txt.""" + root = Path.home() / "AppData" / "Roaming" / "MetaQuotes" / "Terminal" + if MT5_TERMINAL_DATA_ID: + candidate = root / MT5_TERMINAL_DATA_ID + if (candidate / "origin.txt").is_file(): + return candidate + dirs = _terminal_data_dirs() + return dirs[0] if dirs else None + + +def _resolve_terminal_exe() -> Path | None: + env_exe = os.environ.get("MT5_TERMINAL_EXE", "").strip() + if env_exe: + exe = Path(env_exe) + if exe.is_file(): + return exe + data_dir = mt5_terminal_data_dir() + if data_dir: + origin = data_dir / "origin.txt" + if origin.is_file(): + try: + exe = Path(_read_origin(origin)) + if exe.is_file(): + return exe + except OSError: + pass + for data_dir in _terminal_data_dirs(): + origin = data_dir / "origin.txt" + try: + exe = Path(_read_origin(origin)) + if exe.is_file(): + return exe + except OSError: + continue + for exe in KNOWN_TERMINALS: + if exe.is_file(): + return exe + return None + + +def mt5_context(*, retries: int = 6, wait_sec: float = 12.0) -> dict: + terminal_exe = _resolve_terminal_exe() + last_err = None + for attempt in range(retries): + if attempt: + time.sleep(wait_sec) + if attempt >= 1 and terminal_exe and terminal_exe.is_file(): + subprocess.run(["taskkill", "/IM", "terminal64.exe", "/F"], capture_output=True) + time.sleep(3) + subprocess.Popen([str(terminal_exe)], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) + time.sleep(20) + mt5.shutdown() + ok = mt5.initialize(path=str(terminal_exe)) if terminal_exe else mt5.initialize() + if not ok: + last_err = mt5.last_error() + continue + info = mt5.terminal_info() + acc = mt5.account_info() + ctx = { + "data": Path(info.data_path), + "mt5_path": Path(info.path), + "login": acc.login if acc else 0, + "server": acc.server if acc else "", + } + mt5.shutdown() + return ctx + raise RuntimeError(f"MT5 init failed after {retries} tries: {last_err}") + + +def deploy_united(data: Path, mt5_path: Path) -> Path: + dst = data / "MQL5" / "Experts" / "cluster-latest" + dst.mkdir(parents=True, exist_ok=True) + for name in ("main.mq5", "MagicNumberHelpers.mqh", "GapGuard.mqh"): + shutil.copy2(CLUSTER / name, dst / name) + strat_dst = dst / "Strategies" + strat_dst.mkdir(exist_ok=True) + for f in (CLUSTER / "Strategies").glob("*.mqh"): + shutil.copy2(f, strat_dst / f.name) + log = dst / "compile.log" + subprocess.run( + [str(mt5_path / "metaeditor64.exe"), f"/compile:{dst / 'main.mq5'}", f"/log:{log}"], + timeout=180, + capture_output=True, + ) + time.sleep(3) + ex5 = dst / "main.ex5" + if not ex5.exists(): + tail = log.read_text(encoding="utf-8", errors="ignore")[-2000:] if log.exists() else "" + raise RuntimeError(f"Compile failed: {log}\n{tail}") + pub = data / "MQL5" / "Experts" / "main.ex5" + shutil.copy2(ex5, pub) + return pub + + +def patch_set(base: Path, overrides: dict[str, str | bool | int | float]) -> str: + lines_out: list[str] = [] + seen: set[str] = set() + for line in base.read_text(encoding="utf-8", errors="ignore").splitlines(): + if not line.strip() or line.strip().startswith(";") or "=" not in line: + lines_out.append(line) + continue + name = line.split("=", 1)[0].strip() + if name in overrides: + val = overrides[name] + if isinstance(val, bool): + sval = "true" if val else "false" + else: + sval = str(val) + lines_out.append(f"{name}={sval}") + seen.add(name) + else: + lines_out.append(line) + for k, v in overrides.items(): + if k not in seen: + sval = "true" if v is True else "false" if v is False else str(v) + lines_out.append(f"{k}={sval}") + return "\n".join(lines_out) + "\n" + + +def patch_set_for_lot_genetic( + base: Path, + overrides: dict[str, str | bool | int | float], + lot_key: str, + start: float, + step: float, + stop: float, + default: float | None = None, +) -> str: + """Build .set with a single LOT_* genetic range; all other ||Y flags forced to N.""" + body = patch_set(base, overrides) + val = default if default is not None else start + genetic_line = f"{lot_key}={val}||{start}||{step}||{stop}||Y" + lines_out: list[str] = [] + seen_lot = False + for line in body.splitlines(): + if not line.strip() or line.strip().startswith(";") or "=" not in line: + lines_out.append(line) + continue + name = line.split("=", 1)[0].strip() + if name == lot_key: + lines_out.append(genetic_line) + seen_lot = True + elif "||" in line: + parts = line.split("||") + if len(parts) >= 5: + parts[4] = "N" + lines_out.append("||".join(parts)) + else: + lines_out.append(line) + else: + lines_out.append(line) + if not seen_lot: + lines_out.append(genetic_line) + return "\n".join(lines_out) + "\n" + + +def parse_optimization_xml(data: Path, report: str, lot_key: str) -> dict: + candidates = [data / f"{report}.xml", data / f"{report}.opt"] + candidates += sorted(data.glob(f"**/{report}*.xml"), key=lambda p: p.stat().st_mtime, reverse=True) + seen: set[Path] = set() + xml_path: Path | None = None + for p in candidates: + if p in seen or not p.exists() or p.suffix.lower() != ".xml": + continue + seen.add(p) + xml_path = p + break + if xml_path is None: + return {"ready": False, "error": "xml_not_found"} + + text = read_text(xml_path) + header = re.search(r".*?Pass.*?", text, re.S) + if not header: + return {"ready": False, "error": "xml_header_missing", "report": str(xml_path)} + + cols = re.findall(r'([^<]+)', header.group(0)) + rows: list[dict[str, str]] = [] + for row_xml in re.findall(r"(.*?)", text, re.S)[1:]: + cells = re.findall(r'([^<]+)', row_xml) + if len(cells) >= len(cols): + rows.append(dict(zip(cols, cells))) + + if not rows: + return {"ready": False, "error": "xml_no_rows", "report": str(xml_path)} + + best_row: dict[str, str] | None = None + best_score = -1e18 + for row in rows: + try: + profit = float(row.get("Profit", 0)) + pf = float(row.get("Profit Factor", 0)) + sharpe = float(row.get("Sharpe Ratio", row.get("Sharpe", 0))) + trades = int(float(row.get("Trades", 0))) + except (ValueError, TypeError): + continue + if trades < 20 or pf < 1.0 or profit <= 0: + score = -1e10 + profit + else: + score = sharpe * 2000.0 + profit / 500.0 + pf * 50.0 + if score > best_score: + best_score = score + best_row = row + + if best_row is None: + best_row = max(rows, key=lambda r: float(r.get("Profit", 0))) + + lot_raw = best_row.get(lot_key) + if lot_raw is None: + for k, v in best_row.items(): + if k.replace(" ", "") == lot_key or lot_key in k: + lot_raw = v + break + best_lot = float(lot_raw) if lot_raw is not None else None + + return { + "ready": True, + "report": str(xml_path), + "best_lot": best_lot, + "best_row": best_row, + "best_score": best_score, + "passes": len(rows), + "profit": float(best_row.get("Profit", 0)), + "profit_factor": float(best_row.get("Profit Factor", 0)), + "sharpe": float(best_row.get("Sharpe Ratio", best_row.get("Sharpe", 0))), + "trades": int(float(best_row.get("Trades", 0))), + } + + +def run_genetic_lot_optimize( + data: Path, + mt5_path: Path, + login: int, + server: str, + set_body: str, + set_name: str, + report: str, + lot_key: str, + *, + test_symbol: str | None = None, + optimization: int = 2, + timeout_sec: int = 7200, +) -> dict: + write_tester_set(data, set_name, set_body) + ini = data / f"{report}.ini" + ini.write_text( + build_ini(set_name, report, login, server, symbol=test_symbol, optimization=optimization), + encoding="utf-8", + ) + for ext in (".htm", ".html", ".xml"): + p = data / f"{report}{ext}" + if p.exists(): + p.unlink(missing_ok=True) + + subprocess.run(["taskkill", "/IM", "terminal64.exe", "/F"], capture_output=True) + subprocess.run(["taskkill", "/IM", "metatester64.exe", "/F"], capture_output=True) + time.sleep(6) + + t0 = time.time() + subprocess.run([str(mt5_path / "terminal64.exe"), f"/config:{ini}"], timeout=timeout_sec) + elapsed = round(time.time() - t0, 1) + + opt = parse_optimization_xml(data, report, lot_key) + opt["elapsed_sec"] = elapsed + if not opt.get("ready"): + metrics = parse_report(data, report) + opt.update(metrics) + return opt + + +def write_tester_set(data: Path, set_name: str, body: str) -> Path: + profiles = data / "MQL5" / "Profiles" / "Tester" + profiles.mkdir(parents=True, exist_ok=True) + path = profiles / set_name + path.write_text(body, encoding="utf-8") + return path + + +def build_ini( + set_name: str, + report: str, + login: int, + server: str, + *, + symbol: str | None = None, + optimization: int = 0, +) -> str: + sym = symbol or TEST_SYMBOL + return f"""[Common] +Login={login} +Server={server} +[Tester] +Expert=main.ex5 +ExpertParameters={set_name} +Symbol={sym} +Period={TEST_PERIOD} +Optimization={optimization} +Model=1 +Dates=1 +FromDate={FROM_DATE} +ToDate={TO_DATE} +ForwardMode=0 +Deposit={DEPOSIT} +Currency=USD +Leverage={LEVERAGE} +ExecutionMode=0 +Report={report} +ReplaceReport=1 +ShutdownTerminal=1 +Visual=0 +""" + + +def run_backtest( + data: Path, + mt5_path: Path, + login: int, + server: str, + set_body: str, + set_name: str, + report: str, + *, + test_symbol: str | None = None, + timeout_sec: int = 1800, +) -> dict: + write_tester_set(data, set_name, set_body) + ini = data / f"{report}.ini" + ini.write_text(build_ini(set_name, report, login, server, symbol=test_symbol), encoding="utf-8") + for ext in (".htm", ".html"): + p = data / f"{report}{ext}" + if p.exists(): + p.unlink(missing_ok=True) + + subprocess.run(["taskkill", "/IM", "terminal64.exe", "/F"], capture_output=True) + subprocess.run(["taskkill", "/IM", "metatester64.exe", "/F"], capture_output=True) + time.sleep(6) + + t0 = time.time() + subprocess.run([str(mt5_path / "terminal64.exe"), f"/config:{ini}"], timeout=timeout_sec) + metrics = parse_report(data, report) + metrics["elapsed_sec"] = round(time.time() - t0, 1) + return metrics diff --git a/backtesting/MT5/cluster_audit/united_registry.py b/backtesting/MT5/cluster_audit/united_registry.py new file mode 100644 index 0000000..9bfb1ab --- /dev/null +++ b/backtesting/MT5/cluster_audit/united_registry.py @@ -0,0 +1,117 @@ +"""United EA (main.mq5) strategy registry — defaults from 123.set + audit ranges.""" + +from __future__ import annotations + +import MetaTrader5 as mt5 + +TF = { + "M10": mt5.TIMEFRAME_M10, + "M15": mt5.TIMEFRAME_M15, + "M20": mt5.TIMEFRAME_M20, + "M30": mt5.TIMEFRAME_M30, + "H1": mt5.TIMEFRAME_H1, + "H4": mt5.TIMEFRAME_H4, +} + +# Strategies enabled in 123.set, ordered for sequential audit. +UNITED_STRATEGIES: list[dict] = [ + {"id": "united_darvas", "engine": "darvas", "symbol": "XAUUSD", "tf": "M15", "lot": 0.05, + "enable_key": "EnableDarvasBox", "lot_key": "LOT_DB_DarvasBox", + "defaults": {"box_period": 24, "box_deviation": 90000, "ma_period": 30, + "trend_threshold": 1.2, "volume_threshold": 0, + "stop_loss_pts": 300, "take_profit_pts": 950}, + "opt": {"box_period": (12, 48, 4), "box_deviation": (40000, 150000, 5000), + "trend_threshold": (0.3, 5.0, 0.3), "stop_loss_pts": (250, 900, 50), + "take_profit_pts": (350, 1200, 50), "ma_period": (30, 120, 15)}}, + {"id": "united_rsi_cross", "engine": "rsi_crossover", "symbol": "XAUUSD", "tf": "M15", "lot": 0.06, + "enable_key": "EnableRSICrossOverReversal", "lot_key": "LOT_RC_RSICrossOver", + "defaults": {"rsi_period": 19, "overbought_level": 85, "oversold_level": 25, "ema_period": 140, + "ema_slope_threshold": 105, "ema_distance_threshold": 350, "exit_buy_rsi": 86, + "exit_sell_rsi": 10, "trailing_stop_pts": 295, "cooldown_seconds": 120, + "use_trend_strength_filter": True, "entry_rsi_buy_spread": 0, "entry_rsi_sell_spread": 0, + "tuesday": True, "wednesday": True, "thursday": True, + "trading_hour_one_begin": 0, "trading_hour_one_end": 22, + "trading_hour_two_begin": 6, "trading_hour_two_end": 19}, + "opt": {"overbought_level": (70, 92, 3), "oversold_level": (15, 40, 3), + "ema_distance_threshold": (200, 600, 50), "cooldown_seconds": (60, 300, 30)}}, + {"id": "united_rsi_scalp_appl", "engine": "rsi_scalp", "symbol": "AAPL", "tf": "M15", "lot": 15.0, + "enable_key": "EnableRSIScalpingAPPL", "lot_key": "LOT_RS_APPL", + "defaults": {"rsi_period": 8, "rsi_overbought": 64, "rsi_oversold": 30, + "rsi_target_buy": 67, "rsi_target_sell": 2, "bars_to_wait": 5, + "use_trailing": True, "trail_distance_pts": 70, "trail_activation_pts": 39, "tf": "M15", + "skip_short_hour_after": 17, "use_reversal_escape": False, + "use_rsi_against_exit": False, "max_adverse_atr": 2.5, "min_ob_depth": 0}, + "opt": {"rsi_period": (6, 14, 1), "rsi_overbought": (60, 75, 2), "rsi_oversold": (22, 35, 2), + "rsi_target_buy": (60, 80, 3), "bars_to_wait": (5, 12, 1), + "trail_distance_pts": (50, 120, 10), "skip_short_hour_after": (15, 20, 1)}}, + {"id": "united_rsi_scalp_adbe", "engine": "rsi_scalp", "symbol": "ADBE", "tf": "H1", "lot": 40.0, + "enable_key": "EnableRSIScalpingADBE", "lot_key": "LOT_RS_ADBE", + "defaults": {"rsi_period": 15, "rsi_overbought": 16, "rsi_oversold": 42, + "rsi_target_buy": 67, "rsi_target_sell": 62, "bars_to_wait": 8, + "use_trailing": True, "trail_distance_pts": 425, "trail_activation_pts": 18.5, "tf": "H1"}, + "opt": {"rsi_period": (6, 21, 1), "rsi_overbought": (50, 90, 3), "rsi_oversold": (10, 70, 3), + "bars_to_wait": (1, 12, 1), "trail_distance_pts": (50, 500, 25)}}, + {"id": "united_rsi_scalp_btc", "engine": "rsi_scalp", "symbol": "BTCUSD", "tf": "H1", "lot": 0.03, + "enable_key": "EnableRSIScalpingBTCUSD", "lot_key": "LOT_RS_BTCUSD", + "defaults": {"rsi_period": 14, "rsi_overbought": 90, "rsi_oversold": 73, + "rsi_target_buy": 88, "rsi_target_sell": 48, "bars_to_wait": 6, + "use_trailing": True, "trail_distance_pts": 120, "trail_activation_pts": 0, "tf": "H1"}, + "opt": {"rsi_period": (6, 21, 1), "rsi_overbought": (50, 95, 3), "rsi_oversold": (20, 80, 3), + "bars_to_wait": (1, 8, 1), "trail_distance_pts": (40, 300, 20)}}, + {"id": "united_rsi_scalp_nvda", "engine": "rsi_scalp", "symbol": "NVDA", "tf": "M15", "lot": 50.0, + "enable_key": "EnableRSIScalpingNVDA", "lot_key": "LOT_RS_NVDA", + "defaults": {"rsi_period": 8, "rsi_overbought": 36, "rsi_oversold": 38, + "rsi_target_buy": 90, "rsi_target_sell": 70, "bars_to_wait": 5, + "use_trailing": True, "trail_distance_pts": 375, "trail_activation_pts": 75, "tf": "M15"}, + "opt": {"rsi_period": (6, 21, 1), "bars_to_wait": (1, 8, 1), "trail_distance_pts": (50, 500, 25)}}, + {"id": "united_rsi_scalp_tsla", "engine": "rsi_scalp", "symbol": "TSLA", "tf": "H1", "lot": 5.0, + "enable_key": "EnableRSIScalpingTSLA", "lot_key": "LOT_RS_TSLA", + "defaults": {"rsi_period": 14, "rsi_overbought": 54, "rsi_oversold": 73, + "rsi_target_buy": 87, "rsi_target_sell": 33, "bars_to_wait": 1, + "use_trailing": True, "trail_distance_pts": 900, "trail_activation_pts": 950, "tf": "H1"}, + "opt": {"rsi_period": (6, 21, 1), "bars_to_wait": (1, 6, 1), "trail_distance_pts": (100, 1000, 50)}}, + {"id": "united_rsi_scalp_xau", "engine": "rsi_scalp", "symbol": "XAUUSD", "tf": "H1", "lot": 0.02, + "enable_key": "EnableRSIScalpingXAUUSD", "lot_key": "LOT_RS_XAUUSD", + "defaults": {"rsi_period": 14, "rsi_overbought": 71, "rsi_oversold": 57, + "rsi_target_buy": 80, "rsi_target_sell": 57, "bars_to_wait": 1, + "use_trailing": True, "trail_distance_pts": 71, "trail_activation_pts": 41, "tf": "H1"}, + "opt": {"rsi_period": (6, 21, 1), "rsi_overbought": (55, 85, 3), "rsi_oversold": (40, 75, 3), + "bars_to_wait": (1, 4, 1), "trail_distance_pts": (20, 150, 10)}}, + {"id": "united_rsi_asian_eur", "engine": "rsi_asian", "symbol": "EURUSD", "tf": "M15", "lot": 0.04, + "enable_key": "EnableRSIReversalAsianEURUSD", "lot_key": "LOT_RRA_EURUSD", + "defaults": {"rsi_period": 28, "overbought_level": 60, "oversold_level": 8, + "asian_session_start": 0, "asian_session_end": 8, "use_rsi_exit": True, "rsi_exit_level": 55}, + "opt": {"overbought_level": (50, 80, 5), "oversold_level": (5, 40, 5)}}, + {"id": "united_rsi_asian_aud", "engine": "rsi_asian", "symbol": "AUDUSD", "tf": "M15", "lot": 0.03, + "enable_key": "EnableRSIReversalAsianAUDUSD", "lot_key": "LOT_RRA_AUDUSD", + "defaults": {"rsi_period": 28, "overbought_level": 68, "oversold_level": 30, + "asian_session_start": 0, "asian_session_end": 8, "use_rsi_exit": True, "rsi_exit_level": 48, + "close_outside_session": True}, + "opt": {"overbought_level": (55, 80, 5), "oversold_level": (15, 45, 5)}}, + {"id": "united_st_xau", "engine": "simple_trendline", "symbol": "XAUUSD", "tf": "H1", "lot": 0.03, + "enable_key": "EnableSimpleTrendlineXAUUSD", "lot_key": "LOT_ST_XAUUSD", + "defaults": {"signal_tf": "H1", "higher_tf": "M10", "ma_period": 65, "ma_method": "ema", + "htf_bars_to_scan": 500, "touch_tolerance_pts": 220, "break_buffer_pts": 110}, + "opt": {"ma_period": (40, 120, 10), "touch_tolerance_pts": (100, 350, 25), + "break_buffer_pts": (50, 200, 15)}}, + {"id": "united_st_ger40", "engine": "simple_trendline", "symbol": "GER40", "tf": "M15", "lot": 0.04, + "enable_key": "EnableSimpleTrendlineGER40", "lot_key": "LOT_ST_GER40", + "defaults": {"signal_tf": "M15", "higher_tf": "M15", "ma_period": 65, "ma_method": "lwma", + "htf_bars_to_scan": 1200, "touch_tolerance_pts": 100, "break_buffer_pts": 80}, + "opt": {"ma_period": (40, 120, 10), "touch_tolerance_pts": (50, 200, 15)}}, + {"id": "united_rsi_secret", "engine": "rsi_secret", "symbol": "XAUUSD", "tf": "M30", "lot": 0.07, + "enable_key": "EnableRSISecretSauce", "lot_key": "LOT_RSS_SecretSauce", + "defaults": {"rsi_period": 16, "rsi_overbought": 72.5, "rsi_oversold": 32.5, + "stop_loss_atr": 2.75, "take_profit_atr": 5.0, "min_bars_between_trades": 7}, + "opt": {"rsi_overbought": (60, 80, 2), "rsi_oversold": (25, 45, 2), "stop_loss_atr": (1.5, 4, 0.5)}}, + {"id": "united_usdjpy", "engine": "usdjpy_buster", "symbol": "USDJPY", "tf": "M20", "lot": 0.09, + "enable_key": "EnableUSDJPYBuster", "lot_key": "LOT_UB_USDJPY", + "defaults": {"range_start_hour": 3, "range_end_hour": 6, "close_hour": 18, + "min_range_pts": 15, "order_buffer_pts": 4.75, "first_trade_only": False, + "allow_long": True, "allow_short": True, "use_take_profit": False}, + "opt": {"min_range_pts": (8, 40, 4), "order_buffer_pts": (2, 12, 1)}}, +] + +PERIODS = { + "2021-2026": ("2021-01-01", "2026-06-01"), +} diff --git a/backtesting/MT5/indicator_utils.py b/backtesting/MT5/indicator_utils.py index f29b4c5..eed32e9 100644 --- a/backtesting/MT5/indicator_utils.py +++ b/backtesting/MT5/indicator_utils.py @@ -10,13 +10,14 @@ import pandas as pd def calculate_rsi(prices: pd.Series, period: int = 14) -> pd.Series: - """Calculate RSI indicator.""" + """Calculate RSI with Wilder smoothing (matches MT5 iRSI).""" delta = prices.diff() - gain = (delta.where(delta > 0, 0)).rolling(window=period).mean() - loss = (-delta.where(delta < 0, 0)).rolling(window=period).mean() - rs = gain / loss - rsi = 100 - (100 / (1 + rs)) - return rsi + gain = delta.clip(lower=0) + loss = (-delta).clip(lower=0) + avg_gain = gain.ewm(alpha=1 / period, adjust=False).mean() + avg_loss = loss.ewm(alpha=1 / period, adjust=False).mean() + rs = avg_gain / avg_loss.replace(0, np.nan) + return 100 - (100 / (1 + rs)) def calculate_ema(prices: pd.Series, period: int = 50) -> pd.Series: @@ -30,13 +31,35 @@ def calculate_sma(prices: pd.Series, period: int = 50) -> pd.Series: def calculate_atr(df: pd.DataFrame, period: int = 14) -> pd.Series: - """Calculate ATR indicator.""" + """Calculate ATR with Wilder smoothing (matches MT5 iATR).""" high_low = df['high'] - df['low'] high_close = np.abs(df['high'] - df['close'].shift()) low_close = np.abs(df['low'] - df['close'].shift()) tr = pd.concat([high_low, high_close, low_close], axis=1).max(axis=1) - atr = tr.rolling(window=period).mean() - return atr + return tr.ewm(alpha=1 / period, adjust=False).mean() + + +def calculate_adx(df: pd.DataFrame, period: int = 14) -> pd.Series: + """Calculate ADX indicator (Wilder smoothing).""" + return calculate_dmi(df, period)["adx"] + + +def calculate_dmi(df: pd.DataFrame, period: int = 14) -> pd.DataFrame: + """Calculate +DI, -DI, and ADX.""" + high = df["high"] + low = df["low"] + close = df["close"] + up = high.diff() + down = -low.diff() + plus_dm = up.where((up > down) & (up > 0), 0.0) + minus_dm = down.where((down > up) & (down > 0), 0.0) + tr = pd.concat([high - low, (high - close.shift()).abs(), (low - close.shift()).abs()], axis=1).max(axis=1) + atr = tr.ewm(alpha=1 / period, adjust=False).mean() + plus_di = 100 * (plus_dm.ewm(alpha=1 / period, adjust=False).mean() / atr.replace(0, np.nan)) + minus_di = 100 * (minus_dm.ewm(alpha=1 / period, adjust=False).mean() / atr.replace(0, np.nan)) + dx = 100 * (plus_di - minus_di).abs() / (plus_di + minus_di).replace(0, np.nan) + adx = dx.ewm(alpha=1 / period, adjust=False).mean() + return pd.DataFrame({"plus_di": plus_di, "minus_di": minus_di, "adx": adx}) def calculate_macd(prices: pd.Series, fast: int = 12, slow: int = 26, signal: int = 9) -> pd.DataFrame: diff --git a/backtesting/MT5/rsi_scalping_backtest.py b/backtesting/MT5/rsi_scalping_backtest.py new file mode 100644 index 0000000..5bd8a18 --- /dev/null +++ b/backtesting/MT5/rsi_scalping_backtest.py @@ -0,0 +1,309 @@ +""" +Bar-based RSI scalping backtest — conservative fills, costs, no same-bar RSI lookahead. + +Mirrors RsiScalpingRobot.mqh with: +- entries on bar open after RSI cross on prior closed bars +- exits evaluated on prior closed bar RSI +- trailing updated on bar close; stop checked against bar range +""" + +from __future__ import annotations + +from dataclasses import dataclass, field +from typing import Any + +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +from indicator_utils import calculate_rsi + + +@dataclass +class RsiScalpParams: + rsi_period: int = 14 + rsi_overbought: float = 71.0 + rsi_oversold: float = 57.0 + rsi_target_buy: float = 80.0 + rsi_target_sell: float = 57.0 + bars_to_wait: int = 1 + use_trailing: bool = True + trail_distance_pts: float = 71.0 + trail_activation_pts: float = 41.0 + lot_size: float = 0.1 + + @classmethod + def from_dict(cls, d: dict[str, Any]) -> "RsiScalpParams": + return cls(**{k: d[k] for k in cls.__dataclass_fields__ if k in d}) + + +@dataclass +class CostModel: + spread_points: float = 0.0 + slippage_points: float = 3.0 + commission_per_lot: float = 0.0 + + @classmethod + def from_symbol(cls, symbol: str, slippage_points: float = 3.0, commission_per_lot: float = 0.0) -> "CostModel": + info = mt5.symbol_info(symbol) + spread = float(info.spread) if info else 0.0 + return cls(spread_points=spread, slippage_points=slippage_points, commission_per_lot=commission_per_lot) + + +@dataclass +class BacktestResult: + net_profit: float + total_trades: int + win_rate: float + profit_factor: float + max_drawdown_pct: float + total_costs: float + score: float + params: RsiScalpParams + gross_profit: float = 0.0 + gross_loss: float = 0.0 + + +def _calc_profit(symbol: str, order_type: int, volume: float, open_price: float, close_price: float) -> float: + p = mt5.order_calc_profit(order_type, symbol, volume, open_price, close_price) + return float(p) if p is not None else 0.0 + + +def _half_spread_price(point: float, spread_points: float) -> float: + return (spread_points * point) / 2.0 + + +def _fill_buy(open_price: float, point: float, costs: CostModel, entry: bool) -> float: + slip = costs.slippage_points * point + hs = _half_spread_price(point, costs.spread_points) + return open_price + hs + slip if entry else open_price - hs - slip + + +def _fill_sell(open_price: float, point: float, costs: CostModel, entry: bool) -> float: + slip = costs.slippage_points * point + hs = _half_spread_price(point, costs.spread_points) + return open_price - hs - slip if entry else open_price + hs + slip + + +def backtest_rsi_scalping( + df: pd.DataFrame, + symbol: str, + params: RsiScalpParams, + initial_balance: float = 10_000.0, + point: float | None = None, + costs: CostModel | None = None, +) -> BacktestResult: + info = mt5.symbol_info(symbol) + if point is None: + point = float(info.point) if info else 0.01 + if costs is None: + costs = CostModel.from_symbol(symbol) + + # RSI on close; decisions use index i-1 (last fully closed bar at bar i open) + rsi_full = calculate_rsi(df["close"], params.rsi_period).to_numpy() + times = df.index.to_numpy() + opens = df["open"].to_numpy() + highs = df["high"].to_numpy() + lows = df["low"].to_numpy() + closes = df["close"].to_numpy() + + balance = initial_balance + peak = initial_balance + max_dd = 0.0 + total_costs = 0.0 + + position: dict[str, Any] | None = None + rsi_against = False + bars_against = 0 + + gross_profit = 0.0 + gross_loss = 0.0 + wins = 0 + losses = 0 + trades = 0 + + trail_dist = params.trail_distance_pts * point + trail_act = (params.trail_activation_pts if params.trail_activation_pts > 0 else params.trail_distance_pts) * point + + def _update_dd() -> None: + nonlocal peak, max_dd + if balance > peak: + peak = balance + dd = (peak - balance) / peak if peak > 0 else 0.0 + if dd > max_dd: + max_dd = dd + + def close_at(exit_mid: float) -> None: + nonlocal balance, gross_profit, gross_loss, wins, losses, trades, position, total_costs + if position is None: + return + order_type = mt5.ORDER_TYPE_BUY if position["type"] == "BUY" else mt5.ORDER_TYPE_SELL + if position["type"] == "BUY": + exit_price = _fill_buy(exit_mid, point, costs, entry=False) + else: + exit_price = _fill_sell(exit_mid, point, costs, entry=False) + + commission = costs.commission_per_lot * position["volume"] * 2.0 + profit = _calc_profit(symbol, order_type, position["volume"], position["open_price"], exit_price) + profit -= commission + total_costs += commission + (costs.slippage_points * point * position["volume"] * 100000 * 0.0) + + balance += profit + trades += 1 + if profit >= 0: + wins += 1 + gross_profit += profit + else: + losses += 1 + gross_loss += abs(profit) + _update_dd() + position = None + + def apply_trailing(bar_close: float, bar_high: float, bar_low: float) -> None: + if position is None or not params.use_trailing or trail_dist <= 0: + return + if position["type"] == "BUY": + bid = bar_close + if bid - position["open_price"] <= trail_act: + return + new_sl = bid - trail_dist + if new_sl > position.get("sl", 0.0): + position["sl"] = new_sl + if position.get("sl") and bar_low <= position["sl"]: + close_at(position["sl"]) + else: + ask = bar_close + if position["open_price"] - ask <= trail_act: + return + new_sl = ask + trail_dist + if position.get("sl", 0.0) == 0.0 or new_sl < position["sl"]: + position["sl"] = new_sl + if position.get("sl") and bar_high >= position["sl"]: + close_at(position["sl"]) + + start = max(params.rsi_period + 3, 3) + for i in range(start, len(df)): + # closed-bar RSI (no lookahead): signal bar is i-1 + rsi_sig = rsi_full[i - 1] + rsi_prev = rsi_full[i - 2] + rsi_two = rsi_full[i - 3] + if np.isnan(rsi_sig) or np.isnan(rsi_prev) or np.isnan(rsi_two): + continue + + if position is not None: + apply_trailing(closes[i], highs[i], lows[i]) + if position is None: + rsi_against = False + bars_against = 0 + continue + + if position["type"] == "BUY": + if rsi_sig < params.rsi_oversold: + if not rsi_against: + rsi_against = True + bars_against = 1 + else: + bars_against += 1 + if bars_against >= params.bars_to_wait: + close_at(opens[i]) + else: + if rsi_against: + rsi_against = False + bars_against = 0 + if rsi_sig >= params.rsi_target_buy: + close_at(opens[i]) + else: + if rsi_sig > params.rsi_overbought: + if not rsi_against: + rsi_against = True + bars_against = 1 + else: + bars_against += 1 + if bars_against >= params.bars_to_wait: + close_at(opens[i]) + else: + if rsi_against: + rsi_against = False + bars_against = 0 + if rsi_sig <= params.rsi_target_sell: + close_at(opens[i]) + + if position is not None: + continue + + # entry at bar open[i] from RSI cross on bars i-2 / i-3 + if rsi_two <= params.rsi_oversold and rsi_prev > params.rsi_oversold: + entry = _fill_buy(opens[i], point, costs, entry=True) + position = {"type": "BUY", "volume": params.lot_size, "open_price": entry, "open_time": times[i], "sl": 0.0} + rsi_against = False + bars_against = 0 + elif rsi_two >= params.rsi_overbought and rsi_prev < params.rsi_overbought: + entry = _fill_sell(opens[i], point, costs, entry=True) + position = {"type": "SELL", "volume": params.lot_size, "open_price": entry, "open_time": times[i], "sl": 0.0} + rsi_against = False + bars_against = 0 + + if position is not None: + close_at(closes[-1]) + + net_profit = balance - initial_balance + win_rate = (wins / trades * 100.0) if trades else 0.0 + pf = (gross_profit / gross_loss) if gross_loss > 0 else (999.0 if gross_profit > 0 else 0.0) + + if trades < 20: + score = net_profit - 10_000.0 + else: + score = net_profit * (1.0 - min(max_dd, 0.5)) + + return BacktestResult( + net_profit=net_profit, + total_trades=trades, + win_rate=win_rate, + profit_factor=pf, + max_drawdown_pct=max_dd * 100.0, + total_costs=total_costs, + score=score, + params=params, + gross_profit=gross_profit, + gross_loss=gross_loss, + ) + + +def resolve_symbol(requested: str) -> str: + key = requested.split("|")[0].strip() + if not key: + return requested + if mt5.symbol_info(key) is not None: + mt5.symbol_select(key, True) + return key + for suffix in (".NAS", ".NYSE", ".NYS", ".US"): + cand = key + suffix + if mt5.symbol_info(cand) is not None: + mt5.symbol_select(cand, True) + return cand + for sym in mt5.symbols_get() or []: + name = sym.name + if name.startswith(key + "."): + mt5.symbol_select(name, True) + return name + return key + + +def load_rates(symbol: str, timeframe: int, start, end) -> pd.DataFrame: + symbol = resolve_symbol(symbol) + if not mt5.symbol_select(symbol, True): + raise RuntimeError(f"Cannot select {symbol}: {mt5.last_error()}") + rates = mt5.copy_rates_range(symbol, timeframe, start, end) + if rates is None or len(rates) == 0: + raise RuntimeError(f"No rates for {symbol}: {mt5.last_error()}") + out = pd.DataFrame(rates) + out["time"] = pd.to_datetime(out["time"], unit="s") + out.set_index("time", inplace=True) + return out + + +def split_walk_forward(df: pd.DataFrame, train_ratio: float = 0.6) -> tuple[pd.DataFrame, pd.DataFrame]: + cut = int(len(df) * train_ratio) + if cut < 100 or len(df) - cut < 100: + raise ValueError("Not enough bars for walk-forward split") + return df.iloc[:cut].copy(), df.iloc[cut:].copy() diff --git a/backtesting/MT5/run_optimize.py b/backtesting/MT5/run_optimize.py new file mode 100644 index 0000000..88dbad2 --- /dev/null +++ b/backtesting/MT5/run_optimize.py @@ -0,0 +1,233 @@ +""" +Walk-forward random-search optimizer for RSI scalping. + +Optimizes on in-sample (train), ranks by out-of-sample (validation) score. +""" + +from __future__ import annotations + +import argparse +import json +import random +from datetime import datetime, timedelta +from pathlib import Path +from typing import Any + +import MetaTrader5 as mt5 +import pandas as pd + +from rsi_scalping_backtest import ( + CostModel, + RsiScalpParams, + backtest_rsi_scalping, + load_rates, + split_walk_forward, +) +from set_parser import SetParam, parse_set_file + +TF_MAP = { + "M1": mt5.TIMEFRAME_M1, + "M5": mt5.TIMEFRAME_M5, + "M10": mt5.TIMEFRAME_M10, + "M15": mt5.TIMEFRAME_M15, + "M30": mt5.TIMEFRAME_M30, + "H1": mt5.TIMEFRAME_H1, + "H4": mt5.TIMEFRAME_H4, + "D1": mt5.TIMEFRAME_D1, +} + +SET_TO_PARAM = { + "RSI_Period": "rsi_period", + "RSI_Overbought": "rsi_overbought", + "RSI_Oversold": "rsi_oversold", + "RSI_Target_Buy": "rsi_target_buy", + "RSI_Target_Sell": "rsi_target_sell", + "BarsToWait": "bars_to_wait", + "UseTrailingStop": "use_trailing", + "TrailingStopDistancePoints": "trail_distance_pts", + "TrailingActivationPoints": "trail_activation_pts", +} + + +def _sample_value(p: SetParam, rng: random.Random) -> Any: + if not p.optimize: + return p.value + if isinstance(p.start, bool): + return rng.choice([p.start, p.stop]) + if isinstance(p.start, int) and isinstance(p.stop, int): + step = int(p.step) if int(p.step) != 0 else 1 + vals = list(range(int(p.start), int(p.stop) + 1, step)) + return rng.choice(vals) if vals else p.value + step = float(p.step) if float(p.step) != 0 else 1.0 + start, stop = float(p.start), float(p.stop) + n = int((stop - start) / step) + 1 + idx = rng.randint(0, max(n - 1, 0)) + return round(start + idx * step, 4) + + +def sample_params(set_params: dict[str, SetParam], rng: random.Random, defaults: dict, fixed_lot: float) -> RsiScalpParams: + raw = dict(defaults) + for set_name, field in SET_TO_PARAM.items(): + if set_name in set_params: + raw[field] = _sample_value(set_params[set_name], rng) + raw["lot_size"] = fixed_lot + return RsiScalpParams.from_dict(raw) + + +def _result_dict(r, label: str) -> dict: + return { + "label": label, + "net_profit": r.net_profit, + "total_trades": r.total_trades, + "win_rate": r.win_rate, + "profit_factor": r.profit_factor, + "max_drawdown_pct": r.max_drawdown_pct, + "total_costs": r.total_costs, + "score": r.score, + "params": r.params.__dict__, + } + + +def main() -> None: + parser = argparse.ArgumentParser(description="Walk-forward RSI scalping optimizer") + parser.add_argument("--symbol", default="XAUUSD") + parser.add_argument("--timeframe", default="H1", choices=TF_MAP.keys()) + parser.add_argument("--set", required=True) + parser.add_argument("--trials", type=int, default=800) + parser.add_argument("--days", type=int, default=730) + parser.add_argument("--balance", type=float, default=10000.0) + parser.add_argument("--lot", type=float, default=0.1) + parser.add_argument("--train-ratio", type=float, default=0.6) + parser.add_argument("--slippage", type=float, default=3.0) + parser.add_argument("--commission", type=float, default=0.0) + parser.add_argument("--seed", type=int, default=42) + parser.add_argument("--out", default="optimization_results") + args = parser.parse_args() + + if not mt5.initialize(): + raise SystemExit(f"MT5 init failed: {mt5.last_error()}") + + try: + end = datetime.now() + start = end - timedelta(days=args.days) + tf = TF_MAP[args.timeframe] + df_all = load_rates(args.symbol, tf, start, end) + train_df, test_df = split_walk_forward(df_all, args.train_ratio) + costs = CostModel.from_symbol(args.symbol, slippage_points=args.slippage, commission_per_lot=args.commission) + + info = mt5.symbol_info(args.symbol) + spread = info.spread if info else 0 + print(f"Symbol {args.symbol} spread={spread} pts slippage={args.slippage} commission/lot={args.commission}") + print(f"All: {len(df_all)} bars train: {len(train_df)} ({train_df.index[0]} -> {train_df.index[-1]})") + print(f"Test: {len(test_df)} bars ({test_df.index[0]} -> {test_df.index[-1]})") + + set_params = parse_set_file(args.set) + defaults = { + "rsi_period": 14, + "rsi_overbought": 71.0, + "rsi_oversold": 57.0, + "rsi_target_buy": 80.0, + "rsi_target_sell": 57.0, + "bars_to_wait": 1, + "use_trailing": True, + "trail_distance_pts": 71.0, + "trail_activation_pts": 41.0, + } + + baseline_params = RsiScalpParams.from_dict({**defaults, "lot_size": args.lot}) + baseline_train = backtest_rsi_scalping(train_df, args.symbol, baseline_params, args.balance, costs=costs) + baseline_test = backtest_rsi_scalping(test_df, args.symbol, baseline_params, args.balance, costs=costs) + baseline_full = backtest_rsi_scalping(df_all, args.symbol, baseline_params, args.balance, costs=costs) + + print("\n--- BASELINE (current SuperEA XAUUSD trailing defaults) ---") + print(f" train net=${baseline_train.net_profit:.2f} trades={baseline_train.total_trades} dd={baseline_train.max_drawdown_pct:.1f}%") + print(f" test net=${baseline_test.net_profit:.2f} trades={baseline_test.total_trades} dd={baseline_test.max_drawdown_pct:.1f}%") + print(f" full net=${baseline_full.net_profit:.2f} trades={baseline_full.total_trades} dd={baseline_full.max_drawdown_pct:.1f}%") + + rng = random.Random(args.seed) + rows = [] + best_oos = None + best_oos_score = float("-inf") + + for n in range(1, args.trials + 1): + params = sample_params(set_params, rng, defaults, args.lot) + train_r = backtest_rsi_scalping(train_df, args.symbol, params, args.balance, costs=costs) + test_r = backtest_rsi_scalping(test_df, args.symbol, params, args.balance, costs=costs) + full_r = backtest_rsi_scalping(df_all, args.symbol, params, args.balance, costs=costs) + + row = { + "trial": n, + "oos_score": test_r.score, + "train_net": train_r.net_profit, + "test_net": test_r.net_profit, + "full_net": full_r.net_profit, + "train_trades": train_r.total_trades, + "test_trades": test_r.total_trades, + "test_pf": test_r.profit_factor, + "test_dd_pct": test_r.max_drawdown_pct, + "test_win_rate": test_r.win_rate, + **params.__dict__, + } + rows.append(row) + + if test_r.total_trades >= 15 and test_r.score > best_oos_score: + best_oos_score = test_r.score + best_oos = (params, train_r, test_r, full_r) + + if n % 200 == 0 and best_oos: + _, _, br_test, _ = best_oos + print(f" trial {n}/{args.trials} best OOS net=${br_test.net_profit:.2f} score={best_oos_score:.2f}") + + if best_oos is None: + raise SystemExit("No valid OOS candidate (need >=15 test trades)") + + best_params, best_train, best_test, best_full = best_oos + + out_dir = Path(args.out) + out_dir.mkdir(parents=True, exist_ok=True) + results_df = pd.DataFrame(rows).sort_values("oos_score", ascending=False) + tag = f"{args.symbol}_{args.timeframe}_v2" + csv_path = out_dir / f"{tag}_rsi_scalp_opt.csv" + results_df.to_csv(csv_path, index=False) + + report = { + "version": "v2-conservative-walkforward", + "symbol": args.symbol, + "timeframe": args.timeframe, + "costs": {"spread_pts": spread, "slippage_pts": args.slippage, "commission_per_lot": args.commission}, + "bars": {"all": len(df_all), "train": len(train_df), "test": len(test_df)}, + "periods": { + "all": [str(df_all.index[0]), str(df_all.index[-1])], + "train": [str(train_df.index[0]), str(train_df.index[-1])], + "test": [str(test_df.index[0]), str(test_df.index[-1])], + }, + "trials": args.trials, + "baseline": { + "train": _result_dict(baseline_train, "train"), + "test": _result_dict(baseline_test, "test"), + "full": _result_dict(baseline_full, "full"), + }, + "best_by_oos": { + "train": _result_dict(best_train, "train"), + "test": _result_dict(best_test, "test"), + "full": _result_dict(best_full, "full"), + }, + "top10_oos": results_df.head(10).to_dict(orient="records"), + } + json_path = out_dir / f"{tag}_rsi_scalp_best.json" + json_path.write_text(json.dumps(report, indent=2), encoding="utf-8") + + print("\n=== BEST BY OUT-OF-SAMPLE (validation) ===") + for k, v in best_params.__dict__.items(): + print(f" {k}: {v}") + print(f" TRAIN net=${best_train.net_profit:.2f} trades={best_train.total_trades} dd={best_train.max_drawdown_pct:.1f}%") + print(f" TEST net=${best_test.net_profit:.2f} trades={best_test.total_trades} pf={best_test.profit_factor:.2f} dd={best_test.max_drawdown_pct:.1f}%") + print(f" FULL net=${best_full.net_profit:.2f} trades={best_full.total_trades} dd={best_full.max_drawdown_pct:.1f}%") + print(f"\nSaved: {csv_path}") + print(f"Saved: {json_path}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/backtesting/MT5/set_parser.py b/backtesting/MT5/set_parser.py new file mode 100644 index 0000000..f04490a --- /dev/null +++ b/backtesting/MT5/set_parser.py @@ -0,0 +1,58 @@ +"""Parse MetaTrader 5 .set optimization files.""" + +from __future__ import annotations + +from dataclasses import dataclass +from pathlib import Path +from typing import Any + + +@dataclass +class SetParam: + name: str + value: Any + start: Any + step: Any + stop: Any + optimize: bool + + +def _cast(raw: str) -> Any: + low = raw.strip().lower() + if low == "true": + return True + if low == "false": + return False + if "." in raw: + try: + return float(raw) + except ValueError: + return raw + try: + return int(raw) + except ValueError: + return raw + + +def parse_set_file(path: str | Path) -> dict[str, SetParam]: + params: dict[str, SetParam] = {} + for line in Path(path).read_text(encoding="utf-8", errors="ignore").splitlines(): + line = line.strip() + if not line or line.startswith(";"): + continue + if "=" not in line: + continue + name, rest = line.split("=", 1) + parts = rest.split("||") + if len(parts) < 5: + continue + value, start, step, stop, opt = parts[0], parts[1], parts[2], parts[3], parts[4] + params[name] = SetParam( + name=name, + value=_cast(value), + start=_cast(start), + step=_cast(step), + stop=_cast(stop), + optimize=opt.strip().upper() == "Y", + ) + return params diff --git a/backtesting/MT5/sets/XAUUSD_RSI_Scalp_trailing.set b/backtesting/MT5/sets/XAUUSD_RSI_Scalp_trailing.set new file mode 100644 index 0000000..933aa66 --- /dev/null +++ b/backtesting/MT5/sets/XAUUSD_RSI_Scalp_trailing.set @@ -0,0 +1,11 @@ +; RSIScalping XAUUSD trailing — Python optimizer ranges +RSI_Period=14||8||1||21||Y +RSI_Overbought=71||55.0||2.0||85.0||Y +RSI_Oversold=57||40.0||2.0||70.0||Y +RSI_Target_Buy=80||65.0||2.0||95.0||Y +RSI_Target_Sell=57||40.0||2.0||70.0||Y +BarsToWait=1||1||1||8||Y +LotSize=0.1||0.1||0.1||0.1||N +UseTrailingStop=true||false||0||true||Y +TrailingStopDistancePoints=71||20.0||5.0||200.0||Y +TrailingActivationPoints=41||0.0||5.0||120.0||Y diff --git a/debug.log b/debug.log deleted file mode 100644 index 775ac46..0000000 --- a/debug.log +++ /dev/null @@ -1 +0,0 @@ -[0401/051136.755:ERROR:third_party\crashpad\crashpad\util\win\registration_protocol_win.cc:108] CreateFile: 系统找不到指定的文件。 (0x2) diff --git a/docs/STRUCTURE.md b/docs/STRUCTURE.md new file mode 100644 index 0000000..015ceea --- /dev/null +++ b/docs/STRUCTURE.md @@ -0,0 +1,58 @@ +# Repository Structure + +This monorepo groups **production EAs**, **research tooling**, and **ML experiments** for MetaTrader 5. + +## Core (start here) + +| Path | Purpose | +|------|---------| +| [`frontline/cluster-latest/`](../frontline/cluster-latest/) | **United cluster EA** — multi-strategy orchestrator (`main.mq5`), shared `Strategies/`, default `123.set` | +| [`frontline/units/`](../frontline/units/) | Standalone per-symbol EAs (baseline implementations) | +| [`backtesting/MT5/`](../backtesting/MT5/) | Python MT5 backtesting + `cluster_audit/` pipeline | +| [`ai/`](../ai/) | ONNX / LSTM training and MQL5 inference examples | + +## Frontline variants + +Same strategies, different deployment modes: + +| Path | Variant | +|------|---------| +| `frontline/units-trailing/` | Trailing-stop parameter sets | +| `frontline/units-sharpshooter/` | Tighter entry / sharpshooter tuning | +| `frontline/units_economic_calendar/` | Calendar/session filters | +| `frontline/united_template/` | Template for building united multi-robot EAs | +| `frontline/cluster-NZDUSD/` | NZDUSD-only gene-combo cluster (R&D) | +| `frontline/cluster-SimpleEMA/` | SimpleEMA v5 35-symbol MT5 portfolio (per-symbol params) | +| `frontline/tradingview/` | Pine Script ports | + +## Research & archive + +| Path | Purpose | +|------|---------| +| [`back-pedal/`](../back-pedal/) | Archived / experimental MQL5 strategies | +| [`lab/`](../lab/) | Scratch EAs, indicators, one-off experiments | +| [`paper/`](../paper/) | Research write-up + simulation notebooks | +| [`strategy-tester/`](../strategy-tester/) | Factor / signal testing utilities | + +## Optional modules + +| Path | Purpose | +|------|---------| +| [`polymarket/`](../polymarket/) | Prediction-market research scaffold (needs API keys) | +| [`self-coding-agent/`](../self-coding-agent/) | Local Ollama coding loop (dev tooling) | + +## What is NOT committed + +See root [`.gitignore`](../.gitignore). In short: + +- MT5 account numbers, broker reports, local paths +- `*.ex5`, `ReportTester*.html`, `trades.csv`, audit JSON dumps +- Trained model binaries (`*.onnx`, `*.pkl`) — regenerate from each `ai/*/README.md` +- LaTeX build artifacts and debug logs + +## Recommended workflow + +1. Edit EAs under `frontline/cluster-latest/` or `frontline/units//` +2. Backtest with `backtesting/MT5/` or MT5 Strategy Tester + `.set` files +3. Run cluster audits: `python -m cluster_audit.run_close_signal_audit` (outputs stay local) +4. Copy compiled EA to your **local** `MQL5/Experts/` — never commit credentials diff --git a/docs/ups-pickup-system-tikz.tex b/docs/ups-pickup-system-tikz.tex deleted file mode 100644 index a9adc8f..0000000 --- a/docs/ups-pickup-system-tikz.tex +++ /dev/null @@ -1,204 +0,0 @@ -% !TEX program = xelatex -% UPS 自提 / 取件码 — 流程与系统设计示意（TikZ） -% Overleaf: 使用 fontset=fandol（TeX Live 自带，无需 SimSun） -% 本地 Windows 可改为: \usepackage[UTF8,scheme=plain]{ctex}\setCJKmainfont{SimSun} -\documentclass[11pt,a4paper]{article} -\usepackage[UTF8,scheme=plain,fontset=fandol]{ctex} -\usepackage{geometry} -\geometry{margin=2.2cm} -\usepackage{tikz} -\usetikzlibrary{ - arrows.meta, - positioning, - shapes.geometric, - shapes.symbols, - fit, - backgrounds, - calc, - shadows.blur -} -\definecolor{UPSbrown}{HTML}{351C15} -\definecolor{UPSgold}{HTML}{FFB500} -\definecolor{UPSlight}{HTML}{F5F0E8} -\usepackage{hyperref} -\hypersetup{colorlinks=true,linkcolor=UPSbrown,urlcolor=UPSgold} - -\tikzset{ - font=\small, - actor/.style={ - draw=UPSbrown, - line width=0.8pt, - rounded corners=3pt, - minimum width=2.6cm, - minimum height=1cm, - align=center, - fill=white, - drop shadow={shadow xshift=1pt,shadow yshift=-1pt} - }, - sys/.style={ - draw=UPSbrown, - line width=0.6pt, - rounded corners=2pt, - minimum width=3cm, - minimum height=0.85cm, - align=center, - fill=UPSlight - }, - % 勿用名「step」：与 TikZ 内置 key /tikz/step 冲突（Overleaf 会报 pgfkeys Error） - flowstep/.style={ - draw=UPSbrown, - rounded corners=2pt, - fill=white, - minimum width=3cm, - minimum height=0.7cm, - align=center, - font=\footnotesize - }, - flow/.style={-{Stealth[length=2.2mm]}, thick, UPSbrown}, - lab/.style={font=\footnotesize, align=center}, - secret/.style={fill=UPSgold!25, draw=UPSgold!80!black, dashed} -} - -\title{\textcolor{UPSbrown}{UPS 风格自提点：取件码与系统设计}\\[0.3em] -\large TikZ 图示（教学/示意，非官方）} -\author{} -\date{} - -\begin{document} -\maketitle - -\begin{abstract} -\noindent -本文档用 TikZ 示意「快递员投件 — 平台发码 — 收件人取件」的信息边界： -投件方通常不掌握收件人取件码；取件码仅通过安全通道下发给收件人。 -\end{abstract} - -% -------------------------------------------------------------------------- -\section{角色与信息可见性} - -\begin{figure}[htbp] -\centering -\begin{tikzpicture}[node distance=1.4cm and 2cm] - \node[actor] (c) {快递员\\（存件/投件）}; - \node[actor, right=3.2cm of c] (s) {发件人\\（电商/个人）}; - \coordinate (midcs) at ($ (c)!0.5!(s) $); - \node[actor, below=1.8cm of midcs] (r) {收件人}; - - \node[sys, right=3cm of r, minimum width=3.4cm] (plat) {物流平台\\\footnotesize 订单 / 轨迹 / 发码}; - \node[sys, below=of plat, minimum width=3.4cm] (lock) {自提柜控制器\\\footnotesize 格口 / 电子锁}; - - \draw[flow] (c) -- node[lab, left] {投件扫码\\工号/任务单} (plat); - \draw[flow] (s) -- node[lab, above, sloped] {运单信息\\（无取件码）} (plat); - \draw[flow, UPSgold!70!black] (plat) -- node[lab, right] {短信/App\\\textbf{取件码}} (r); - \draw[flow] (plat) -- node[lab, right] {开格指令} (lock); - \draw[flow] (c) -- node[lab, below, sloped] {物理投件} (lock); - - \node[secret, rounded corners, fit=(r) (plat), inner sep=8pt, label={[font=\footnotesize]above:\textbf{取件码仅在收件人通道}}] {}; -\end{tikzpicture} -\caption{示意：发件人与快递员一般不接收「收件取件码」；收件人通过平台下发获得取件码。} -\label{fig:visibility} -\end{figure} - -% -------------------------------------------------------------------------- -\section{业务流程（泳道图）} - -\begin{figure}[htbp] -\centering -\begin{tikzpicture}[ - x=1cm, y=1cm, - lane/.style={draw=UPSbrown!40, fill=UPSlight, minimum height=5.2cm, minimum width=3.6cm, anchor=north west} -] - - % lanes - \node[lane] (L1) at (0,0) {}; - \node[anchor=north west, font=\bfseries\footnotesize, text=UPSbrown] at (0.15,-0.15) {快递员}; - \node[lane] (L2) at (4,0) {}; - \node[anchor=north west, font=\bfseries\footnotesize, text=UPSbrown] at (4.15,-0.15) {平台}; - \node[lane] (L3) at (8,0) {}; - \node[anchor=north west, font=\bfseries\footnotesize, text=UPSbrown] at (8.15,-0.15) {收件人}; - - % courier steps - \node[flowstep] at (1.8,-1.1) (a1) {到站扫描}; - \node[flowstep, below=0.55 of a1] (a2) {分配格口}; - \node[flowstep, below=0.55 of a2] (a3) {投件关门}; - - % platform steps - \node[flowstep] at (5.8,-1.1) (b1) {校验运单}; - \node[flowstep, below=0.55 of b1] (b2) {生成取件码}; - \node[flowstep, below=0.55 of b2] (b3) {短信/App 推送}; - \node[flowstep, below=0.55 of b3] (b4) {更新状态\\「待取件」}; - - % recipient - \node[flowstep] at (9.8,-1.1) (c1) {收到通知}; - \node[flowstep, below=0.55 of c1] (c2) {到柜输入码}; - \node[flowstep, below=0.55 of c2] (c3) {取件完成}; - - \draw[flow] (a1) -- (b1); - \draw[flow] (b2) -- (c1); - \path (a3.south) ++(0,-0.2) coordinate (tmpa); - \draw[flow] (tmpa) -- (tmpa -| b1.west) |- (b1); - \path (c2.west) ++(-0.6,0) coordinate (tmpr); - \draw[flow] (c2.west) -- (tmpr) |- (b4.east); - -\end{tikzpicture} -\caption{泳道示意：平台在投件确认后生成取件码并下发收件人；快递员侧流程与取件码解耦。} -\label{fig:swimlane} -\end{figure} - -% -------------------------------------------------------------------------- -\section{系统分层架构} - -\begin{figure}[htbp] -\centering -\begin{tikzpicture}[node distance=0.75cm] - \node[sys, minimum width=10cm, text width=9.6cm] (cli) {客户端层：快递员 App / 收件人 App / 柜机触摸屏}; - \node[sys, minimum width=10cm, text width=9.6cm, below=of cli] (gw) {网关层：API 网关、鉴权、限流、审计日志}; - \node[sys, minimum width=4.5cm, below left=1 and -0.2 of gw] (ord) {订单与运单服务}; - \node[sys, minimum width=4.5cm, below right=1 and -0.2 of gw] (code) {取件码服务\\\footnotesize 生成·绑定·失效}; - \node[sys, minimum width=4.5cm, below=of ord] (dev) {设备接入服务\\\footnotesize 开柜指令·状态回传}; - \node[sys, minimum width=4.5cm, below=of code] (msg) {消息服务\\\footnotesize 短信·推送·邮件}; - \node[sys, minimum width=10cm, text width=9.6cm, below=1.2 of dev.south west, anchor=west, xshift=0] (data) {数据层：运单库、取件码表（哈希）、设备影子、不可变审计}; - - \draw[flow] (cli) -- (gw); - \draw[flow] (gw.south west) ++(1.2,0) -- ++(0,-0.35) -| (ord); - \draw[flow] (gw.south east) ++(-1.2,0) -- ++(0,-0.35) -| (code); - \draw[flow] (ord) -- (dev); - \draw[flow] (code) -- (msg); - \draw[flow] (dev) -- (data.north -| dev); - \draw[flow] (msg) -- (data.north -| msg); -\end{tikzpicture} -\caption{逻辑分层：取件码由独立服务生成与校验，与投件流水解耦，便于最小权限与审计。} -\label{fig:architecture} -\end{figure} - -% -------------------------------------------------------------------------- -\section{取件码生命周期（状态机）} - -\begin{figure}[htbp] -\centering -\begin{tikzpicture}[ - stnode/.style={circle, draw=UPSbrown, minimum size=1.15cm, align=center, font=\footnotesize, fill=white}, - acc/.style={-{Stealth}, thick, UPSbrown} -] - \node[stnode] (A) {未生成}; - \node[stnode, right=2.8cm of A] (B) {已生成\\未通知}; - \node[stnode, right=2.8cm of B] (C) {已下发}; - \coordinate (midBC) at ($ (B)!0.5!(C) $); - \node[stnode, below=2cm of midBC] (D) {已核销}; - \node[stnode, left=2.8cm of D, fill=UPSlight] (E) {过期/作废}; - - \draw[acc] (A) -- node[above, font=\scriptsize] {投件确认} (B); - \draw[acc] (B) -- node[above, font=\scriptsize] {推送} (C); - \draw[acc] (C) -- node[right, font=\scriptsize] {正确输入} (D); - \draw[acc] (C) -- node[below left, font=\scriptsize] {超时策略} (E); - \draw[acc] (B) -- node[left, font=\scriptsize] {撤件} (E); -\end{tikzpicture} -\caption{取件码状态机示意：实际生产需加入重试、风控冻结、客服人工核销等分支。} -\label{fig:statemachine} -\end{figure} - -\vfill -\noindent\rule{\linewidth}{0.4pt}\\[0.3em] -{\footnotesize\textcolor{UPSbrown}{Disclaimer:} 图示为通用物流自提逻辑的教学草稿，与 UPS 任何地区正式产品文档无关。配色仅作风格参考。} - -\end{document} diff --git a/fast_commit.ps1 b/fast_commit.ps1 deleted file mode 100644 index 58617b2..0000000 --- a/fast_commit.ps1 +++ /dev/null @@ -1,102 +0,0 @@ -# Function to initialize repository with master and develop branches -function Initialize-GitBranches { - $branches = git branch | ForEach-Object { $_.TrimStart('* ') } | Where-Object { $_ } - - if ($branches.Count -eq 0) { - Write-Host "`nNo branches found. Initializing repository with master and develop branches..." - - # Create and switch to master branch - git checkout -b master - - # Create initial commit if needed - if (-not (git log -n 1 2>$null)) { - Write-Host "Creating initial commit..." - git commit --allow-empty -m "Initial commit" - } - - # Create and push develop branch - git checkout -b develop - - # Push both branches to remote - git push -u origin master - git push -u origin develop - - Write-Host "Repository initialized with master and develop branches" - return $true - } - return $false -} - -# Fetch latest changes from remote -Write-Host "Fetching latest changes from remote..." -git fetch -Write-Host "Fetch completed`n" - -# Check and initialize branches if needed -$initialized = Initialize-GitBranches -if ($initialized) { - Write-Host "`nPlease run the script again to commit your changes." - exit -} - -# Function to select branch -function Select-GitBranch { - Write-Host "Available branches (local and remote):" - $branches = git branch -a | ForEach-Object { $_.TrimStart('* ').TrimStart('remotes/origin/') } | Where-Object { $_ -and $_ -ne 'HEAD' } | Sort-Object -Unique - $branches | ForEach-Object { Write-Host " $_" } - - do { - $selection = Read-Host "Enter branch name" - $branch = $branches | Where-Object { $_ -eq $selection } - if (-not $branch) { - Write-Host "Invalid branch name. Please try again." - } - } until ($branch) - - Write-Host "Selected branch: $branch" - return $branch -} - -# Get current branch -$current_branch = git branch --show-current -Write-Host "Current branch: $current_branch" - -# Ask for commit message -do { - $commit_message = Read-Host "Enter commit message" -} until ($commit_message) - -# Show status and ask for confirmation -git status -$confirm = Read-Host "`nCommit these changes? (y/n)" - -if ($confirm -ne "y") { - Write-Host "Commit cancelled" - exit -} - -# Select target branch -Write-Host "`nSelect target branch:" -$branch = Select-GitBranch - -# Commit and push -git add . -git commit -m $commit_message - -# If current branch is different from target, ask to switch -if ($branch -ne $current_branch) { - $switch_confirm = Read-Host "`nSwitch to $branch and merge changes? (y/n)" - - if ($switch_confirm -eq "y") { - git checkout $branch - git merge $current_branch - } -} - -# Ask to push -$push_confirm = Read-Host "`nPush changes to remote? (y/n)" - -if ($push_confirm -eq "y") { - git push origin $branch - Write-Host "Changes pushed successfully" -} \ No newline at end of file diff --git a/frontline/README.md b/frontline/README.md index a0380f8..a37e62a 100644 --- a/frontline/README.md +++ b/frontline/README.md @@ -6,19 +6,18 @@ This directory contains production-ready Expert Advisors (EAs) for MetaTrader 5, ``` frontline/ -├── MQL5/ # MetaTrader 5 Expert Advisors -│ ├── RSIScalpingXAUUSD/ # RSI Scalping for Gold -│ ├── RSIScalpingBTCUSD/ # RSI Scalping for Bitcoin -│ ├── RSIScalpingMSFT/ # RSI Scalping for Microsoft -│ ├── RSIScalpingTSLA/ # RSI Scalping for Tesla -│ ├── RSICrossOverReversalXAUUSD/ # RSI Crossover Reversal for Gold -│ ├── RSIMidPointHijackXAUUSD/ # RSI MidPoint Multi-Strategy for Gold -│ ├── EMASlopeDistanceCocktailXAUUSD/ # EMA Slope Distance Strategy -│ └── DarvasBoxXAUUSD/ # Darvas Box Breakout Strategy -└── tradingview/ # TradingView Pine Script strategies - └── SSEEMARSICocktail/ # Multi-indicator cocktail strategy +├── cluster-latest/ # United multi-strategy EA (production cluster) +├── units/ # Standalone per-symbol EAs +├── units-trailing/ # Trailing-stop variants +├── units-sharpshooter/ # Sharpshooter-tuned variants +├── units_economic_calendar/ # Calendar-filter variants +├── united_template/ # Templates for united EAs +├── cluster-NZDUSD/ # NZDUSD gene-combo cluster (R&D) +└── tradingview/ # TradingView Pine Script ``` +See [`docs/STRUCTURE.md`](../docs/STRUCTURE.md) for the full repo map. + ## Available Strategies ### RSI Scalping Strategies diff --git a/frontline/cluster-latest/123.set b/frontline/cluster-latest/123.set new file mode 100644 index 0000000..dd2bada --- /dev/null +++ b/frontline/cluster-latest/123.set @@ -0,0 +1,533 @@ +; saved on 2026.06.18 13:01:44 +; this file contains input parameters for testing/optimizing main expert advisor +; to use it in the strategy tester, click Load in the context menu of the Inputs tab +; +; === Strategy Enable/Disable === +; +; === Signal Replacement — close unprofitable on new signal (per strategy) === +DB_CloseUnprofitableOnNewSignal=false||false||0||true||N +ES_CloseUnprofitableOnNewSignal=true||false||0||true||N +RC_CloseUnprofitableOnNewSignal=false||false||0||true||N +RM_CloseUnprofitableOnNewSignal=false||false||0||true||N +RS_APPL_CloseUnprofitableOnNewSignal=false||false||0||true||N +RS_ADBE_CloseUnprofitableOnNewSignal=false||false||0||true||N +RS_BTCUSD_CloseUnprofitableOnNewSignal=false||false||0||true||N +RS_NVDA_CloseUnprofitableOnNewSignal=false||false||0||true||N +RS_TSLA_CloseUnprofitableOnNewSignal=false||false||0||true||N +RS_XAUUSD_CloseUnprofitableOnNewSignal=true||false||0||true||N +RS_MU_CloseUnprofitableOnNewSignal=false||false||0||true||N +RRA_EURUSD_CloseUnprofitableOnNewSignal=false||false||0||true||N +RRA_AUDUSD_CloseUnprofitableOnNewSignal=false||false||0||true||N +RRA_GBPUSD_CloseUnprofitableOnNewSignal=false||false||0||true||N +SE_CloseUnprofitableOnNewSignal=false||false||0||true||N +RCO_CloseUnprofitableOnNewSignal=false||false||0||true||N +ST_BTC_CloseUnprofitableOnNewSignal=false||false||0||true||N +ST_XAU_CloseUnprofitableOnNewSignal=false||false||0||true||N +ST_GER_CloseUnprofitableOnNewSignal=false||false||0||true||N +RSS_CloseUnprofitableOnNewSignal=false||false||0||true||N +UB_CloseUnprofitableOnNewSignal=false||false||0||true||N +GB_CloseUnprofitableOnNewSignal=false||false||0||true||N +RS_NAS100_CloseUnprofitableOnNewSignal=false||false||0||true||N +RS_US30_CloseUnprofitableOnNewSignal=true||false||0||true||N +UKB_CloseUnprofitableOnNewSignal=false||false||0||true||N +U5B_CloseUnprofitableOnNewSignal=false||false||0||true||N +EnableDarvasBox=true||false||0||true||N +EnableEMASlopeDistance=true||false||0||true||N +EnableRSICrossOverReversal=true||false||0||true||N +EnableRSIMidPointHijack=true||false||0||true||N +EnableRSIScalpingAPPL=false||false||0||true||N +EnableRSIScalpingADBE=false||false||0||true||N +EnableRSIScalpingBTCUSD=true||false||0||true||N +EnableRSIScalpingNVDA=true||false||0||true||N +EnableRSIScalpingTSLA=true||false||0||true||N +EnableRSIScalpingXAUUSD=true||false||0||true||N +EnableRSIScalpingMU=false||false||0||true||N +EnableSuperEMA=true||false||0||true||N +EnableRSIConsolidation=false||false||0||true||N +EnableRSIReversalAsianEURUSD=false||false||0||true||N +EnableRSIReversalAsianAUDUSD=true||false||0||true||N +EnableSimpleTrendlineBTCUSD=true||false||0||true||N +EnableSimpleTrendlineXAUUSD=true||false||0||true||N +EnableSimpleTrendlineGER40=false||false||0||true||N +EnableRSISecretSauce=false||false||0||true||N +EnableUSDJPYBuster=true||false||0||true||N +EnableGER40Buster=true||false||0||true||N +EnableNAS100Buster=false||false||0||true||N +EnableRSIReversalAsianGBPUSD=true||false||0||true||N +EnableRSIReversalAsianNZDUSD=false||false||0||true||N +EnableRSIReversalAsianUSDCHF=false||false||0||true||N +EnableRSIScalpingEURJPY=false||false||0||true||N +EnableRSIScalpingF=false||false||0||true||N +EnableRSIScalpingGBPJPY=false||false||0||true||N +EnableRSIScalpingNAS100=true||false||0||true||N +EnableRSIScalpingSNAP=false||false||0||true||N +EnableRSIScalpingSOFI=false||false||0||true||N +EnableRSIScalpingUS30=true||false||0||true||N +EnableRSIScalpingUS500=false||false||0||true||N +EnableRSIScalpingWBD=false||false||0||true||N +EnableRSIScalpingXAGUSD=false||false||0||true||N +EnableUK100Buster=true||false||0||true||N +EnableUS30Buster=false||false||0||true||N +EnableUS500Buster=true||false||0||true||N +EnableXAGUSDBuster=false||false||0||true||N +EnableXAUBearTrend=false||false||0||true||N +EnableXAUMomentumBreakdown=false||false||0||true||N +OPT_GuardOptimizationMode=true||false||0||true||N +; === Centralized Lot Size (Granular Per Robot) === +LOT_DB_DarvasBox=0.01||0.01||0.01||0.100000||N +LOT_ES_EMASlopeDistance=0.07||0.01||0.01||0.100000||N +LOT_RC_RSICrossOver=0.1||0.01||0.01||0.100000||N +LOT_RM_RSIMidPointHijack=0.01||0.01||0.01||0.100000||N +LOT_RS_APPL=5||5||5||15||N +LOT_RS_ADBE=5||5.0||5||15||N +LOT_RS_BTCUSD=0.06||0.01||0.010000||0.100000||N +LOT_RS_NVDA=5||5||5||25||N +LOT_RS_TSLA=5||5.0||5||25||N +LOT_RS_XAUUSD=0.04||0.010000||0.010000||0.100000||N +LOT_RS_MU=5||5.0||5||25||N +LOT_RRA_EURUSD=0.03||0.01||0.010000||0.100000||N +LOT_RRA_AUDUSD=0.05||0.01||0.010000||0.100000||N +LOT_SE_SuperEMA=0.01||0.01||0.010000||0.100000||N +LOT_RCO_RSIConsolidation=0.1||0.01||0.010000||0.100000||N +LOT_ST_BTCUSD=0.01||0.01||0.010000||0.100000||N +LOT_ST_XAUUSD=0.01||0.01||0.010000||0.100000||N +LOT_ST_GER40=0.1||0.01||0.010000||0.1||N +LOT_RSS_SecretSauce=0.1||0.1||0.010000||1.000000||N +LOT_UB_USDJPY=0.03||0.01||0.01||0.1||N +; === Balance-based position sizing === +LOT_GB_GER40=0.01||0.01||0.01||0.1||N +LOT_NB_NAS100=0.05||0.05||0.01||0.1||N +LOT_RRA_GBPUSD=0.03||0.03||0.01||0.1||N +LOT_RRA_NZDUSD=0.1||0.1||0.01||0.1||N +LOT_RRA_USDCHF=0.1||0.1||0.01||0.1||N +LOT_RS_EURJPY=0.08||0.08||0.01||0.1||N +LOT_RS_F=10||10||0.01||0.1||N +LOT_RS_GBPJPY=0.08||0.08||0.01||0.1||N +LOT_RS_SNAP=10||10||0.01||0.1||N +LOT_RS_SOFI=10||10||0.01||0.1||N +LOT_RS_US500=0.1||0.1||0.01||0.1||N +LOT_RS_WBD=10||10||0.01||0.1||N +LOT_RS_XAGUSD=0.05||0.05||0.01||0.1||N +LOT_U30B_US30=0.05||0.05||0.01||0.1||N +LOT_U5B_US500=0.05||0.05||0.01||0.1||N +LOT_RS_NAS100=0.03||0.03||0.01||0.1||N +LOT_RS_US30=0.02||0.02||0.01||0.1||N +LOT_UKB_UK100=0.01||0.01||0.01||0.1||N +LOT_XBT_XAUUSD=0.02||0.02||0.01||0.1||N +LOT_XGB_XAGUSD=0.05||0.05||0.01||0.1||N +LOT_XMB_XAUUSD=0.02||0.02||0.01||0.1||N +ORCH_ScaleLotsByBalance=true||false||0||true||N +ORCH_UseEquityInsteadOfBalance=false||false||0||true||N +ORCH_ReferenceBalance=3000||3000.0||100.000000||10000.000000||N +ORCH_MinBalanceScale=0.1||0.1||0.010000||1.000000||N +ORCH_MaxBalanceScale=100000||100000.0||10000.000000||1000000.000000||N +; === Gap Loss Prevention (跳空) === +GAP_Enable=false||false||0||true||N +GAP_CloseBeforeSessionEnd=true||false||0||true||N +GAP_MinutesBeforeClose=15||15||1||150||N +GAP_CloseBeforeWeekend=true||false||0||true||N +GAP_FridayCloseHour=20||20||1||200||N +GAP_CloseOnBarGapThroughSL=true||false||0||true||N +GAP_MinGapPoints=0||0.0||0.000000||0.000000||N +GAP_EquityDailyFlatHour=21||21||1||210||N +; === DarvasBox Strategy === +DB_Symbol=XAUUSD +DB_BoxPeriod=165||165||1||1650||N +DB_BoxDeviation=30000||30000.0||3000.000000||300000.000000||N +DB_VolumeThreshold=0||0||1||10||N +DB_StopLoss=1665||1665.0||166.500000||16650.000000||N +DB_TakeProfit=3685||3685.0||368.500000||36850.000000||N +DB_EnableLogging=false||false||0||true||N +DB_BoxColor=16711680 +DB_BoxWidth=1||1||1||10||N +DB_TrendTimeframe=16386||0||0||49153||N +DB_MA_Period=125||125||1||1250||N +DB_MA_Method=1||0||0||3||N +DB_MA_Price=7||1||0||7||N +DB_TrendThreshold=4.94||4.94||0.494000||49.400000||N +DB_VolumeMA_Period=110||110||1||1100||N +DB_VolumeThresholdMultiplier=1.5||1.5||0.150000||15.000000||N +DB_UseVolumeSpikeFilter=true||false||0||true||N +DB_UseTrendFilter=true||false||0||true||N +DB_MagicNumber=135790||135790||1||1357900||N +; === EMA Slope Distance Strategy === +ES_Symbol=XAUUSD +ES_EMA_Periode=46||46||1||460||N +ES_PreisSchwelle=600||600.0||60.000000||6000.000000||N +ES_SteigungSchwelle=80||80.0||8.000000||800.000000||N +ES_ÜberwachungTimeout=800||800||1||8000||N +ES_TrailingStop=250||370.0||37.000000||3700.000000||N +ES_UseTrailingStop=true||false||0||true||N +ES_TrailingActivationPips=0||0.0||0.000000||0.000000||N +ES_UseStaleStopLossExit=false||false||0||true||N +ES_StaleStopLossSeconds=33800||33800||1||338000||N +ES_LotGröße=0.03||0.07||0.007000||0.700000||N +ES_MagicNumber=12350||12350||1||123500||N +ES_UseSpreadAdjustment=true||false||0||true||N +ES_Timeframe=16385||0||0||49153||N +ES_UseBarData=true||false||0||true||N +ES_MaxTradesPerCrossover=9||9||1||90||N +ES_ProfitCheckBars=18||18||1||180||N +ES_CloseUnprofitableTrades=true||false||0||true||N +ES_UseWeeklyADXFilter=true||false||0||true||N +ES_WeeklyADXPeriod=15||15||1||150||N +ES_WeeklyADXMin=40||40.0||4.000000||400.000000||N +ES_WeeklyADXBarShift=2||2||1||20||N +ES_WeeklyADXUseDirection=true||false||0||true||N +; === RSI CrossOver Reversal Strategy === +RC_Symbol=XAUUSD +RC_MagicNumber=7||7||1||70||N +RC_rsiPeriod=19||19||1||190||N +RC_overboughtLevel=93||93||1||930||N +RC_oversoldLevel=22||22||1||220||N +RC_entryRSIBuySpread=0||0.0||0.000000||0.000000||N +RC_entryRSISellSpread=0||0.0||0.000000||0.000000||N +RC_lotSize=0.01||0.1||0.010000||1.000000||N +RC_slippage=3||3||1||30||N +RC_cooldownSeconds=209||209||1||2090||N +RC_TimeFrame1=1||0||0||49153||N +RC_TimeFrame2=1||0||0||49153||N +RC_BarTimeFrame=12||0||0||49153||N +RC_emaPeriod=140||140||1||1400||N +RC_emaSlopeThreshold=105||105.0||10.500000||1050.000000||N +RC_exitBuyRSI=86||86.0||8.600000||860.000000||N +RC_exitSellRSI=10||10.0||1.000000||100.000000||N +RC_TrailingStop=295||295.0||29.500000||2950.000000||N +RC_emaDistanceThreshold=165||165.0||16.500000||1650.000000||N +RC_UseTrendStrengthFilter=true||false||0||true||N +RC_tradingHourOneBegin=24||24||1||240||N +RC_tradingHourOneEnd=22||22||1||220||N +RC_tradingHourTwoBegin=6||6||1||60||N +RC_tradingHourTwoEnd=19||19||1||190||N +RC_Sunday=false||false||0||true||N +RC_Monday=false||false||0||true||N +RC_Tuesday=true||false||0||true||N +RC_Wednesday=true||false||0||true||N +RC_Thursday=true||false||0||true||N +RC_Friday=false||false||0||true||N +RC_Saturday=false||false||0||true||N +; === RSI MidPoint Hijack Strategy === +RM_Symbol=XAUUSD +RM_InpTimeframe=16385||0||0||49153||N +RM_InpLotSize=0.02||0.1||0.010000||1.000000||N +RM_InpMagicNumberRSIFollow=1001||1001||1||10010||N +RM_InpMagicNumberRSIReverse=1002||1002||1||10020||N +RM_InpMagicNumberEMACross=1003||1003||1||10030||N +RM_InpEnableRSIFollow=true||false||0||true||N +RM_InpEnableRSIReverse=true||false||0||true||N +RM_InpEnableEMACross=true||false||0||true||N +RM_InpEnableStrategyLock=false||false||0||true||N +RM_InpLockProfitThreshold=0||0.0||0.000000||0.000000||N +RM_InpCloseOppositeTrades=false||false||0||true||N +RM_InpRSIPeriod=32||32||1||320||N +RM_InpRSIOverbought=78||78||1||780||N +RM_InpRSIOversold=46||46||1||460||N +RM_InpRSIExitLevel=44||44||1||440||N +RM_InpRSIFollowStartHour=23||23||1||230||N +RM_InpRSIFollowEndHour=8||8||1||80||N +RM_InpRSIFollowCloseOutsideHours=false||false||0||true||N +RM_InpRSIReversePeriod=59||59||1||590||N +RM_InpRSIReverseOverbought=51||51||1||510||N +RM_InpRSIReverseOversold=49||49||1||490||N +RM_InpRSIReverseCrossLevel=53||53||1||530||N +RM_InpRSIReverseExitLevel=48||48||1||480||N +RM_InpRSIReverseStartHour=7||7||1||70||N +RM_InpRSIReverseEndHour=13||13||1||130||N +RM_InpRSIReverseCloseOutsideHours=false||false||0||true||N +RM_InpRSIReverseCooldownBars=15||15||1||150||N +RM_InpRSIReverseCooldownOnLoss=true||false||0||true||N +RM_InpEMAPeriod=120||120||1||1200||N +RM_InpEMACrossStartHour=8||8||1||80||N +RM_InpEMACrossEndHour=14||14||1||140||N +RM_InpEMACrossCloseOutsideHours=true||false||0||true||N +RM_InpUseEMADistanceEntry=true||false||0||true||N +RM_InpEMADistancePips=160||160.0||16.000000||1600.000000||N +RM_InpEMADistancePeriod=26||26||1||260||N +; === RSI Scalping APPL (AAPL) - Pepperstone US === +RS_APPL_Symbol=AAPL.NAS +RS_APPL_TimeFrame=10||0||0||49153||N +RS_APPL_RSI_Period=14||8||1||80||N +RS_APPL_RSI_Applied_Price=1||1||0||7||N +RS_APPL_RSI_Overbought=80||62.0||6.200000||620.000000||N +RS_APPL_RSI_Oversold=78||32.0||3.200000||320.000000||N +RS_APPL_RSI_Target_Buy=94||67.0||6.700000||670.000000||N +RS_APPL_RSI_Target_Sell=44||2.0||0.200000||20.000000||N +RS_APPL_BarsToWait=7||5||1||50||N +RS_APPL_LotSize=25||25.0||2.500000||250.000000||N +RS_APPL_MagicNumber=20001||20001||1||200010||N +RS_APPL_Slippage=3||3||1||30||N +; === RSI Scalping ADBE - Pepperstone US === +RS_ADBE_Symbol=ADBE.NAS +RS_ADBE_TimeFrame=6||0||0||49153||N +RS_ADBE_RSI_Period=15||15||1||150||N +RS_ADBE_RSI_Applied_Price=2||1||0||7||N +RS_ADBE_RSI_Overbought=16||16.0||1.600000||160.000000||N +RS_ADBE_RSI_Oversold=42||42.0||4.200000||420.000000||N +RS_ADBE_RSI_Target_Buy=67||67.0||6.700000||670.000000||N +RS_ADBE_RSI_Target_Sell=62||62.0||6.200000||620.000000||N +RS_ADBE_BarsToWait=8||8||1||80||N +RS_ADBE_LotSize=5||5.0||0.500000||50.000000||N +RS_ADBE_MagicNumber=12345||12345||1||123450||N +RS_ADBE_Slippage=3||3||1||30||N +; === RSI Scalping BTCUSD === +RS_BTCUSD_Symbol=BTCUSD +RS_BTCUSD_TimeFrame=16385||0||0||49153||N +RS_BTCUSD_RSI_Period=14||14||1||140||N +RS_BTCUSD_RSI_Applied_Price=1||1||0||7||N +RS_BTCUSD_RSI_Overbought=90||90.0||9.000000||900.000000||N +RS_BTCUSD_RSI_Oversold=73||73.0||7.300000||730.000000||N +RS_BTCUSD_RSI_Target_Buy=88||88.0||8.800000||880.000000||N +RS_BTCUSD_RSI_Target_Sell=48||48.0||4.800000||480.000000||N +RS_BTCUSD_BarsToWait=6||6||1||60||N +RS_BTCUSD_LotSize=0.1||0.1||0.010000||1.000000||N +RS_BTCUSD_MagicNumber=123459123||123459123||1||1234591230||N +RS_BTCUSD_Slippage=3||3||1||30||N +; === RSI Scalping NVDA - Pepperstone US === +RS_NVDA_Symbol=NVDA.NAS +RS_NVDA_TimeFrame=15||0||0||49153||N +RS_NVDA_RSI_Period=8||8||1||80||N +RS_NVDA_RSI_Applied_Price=1||1||0||7||N +RS_NVDA_RSI_Overbought=36||36.0||3.600000||360.000000||N +RS_NVDA_RSI_Oversold=38||38.0||3.800000||380.000000||N +RS_NVDA_RSI_Target_Buy=90||90.0||9.000000||900.000000||N +RS_NVDA_RSI_Target_Sell=70||70.0||7.000000||700.000000||N +RS_NVDA_BarsToWait=5||5||1||50||N +RS_NVDA_LotSize=50||5.0||0.500000||50.000000||N +RS_NVDA_MagicNumber=20003||20003||1||200030||N +RS_NVDA_Slippage=3||3||1||30||N +; === RSI Scalping TSLA - Pepperstone US === +RS_TSLA_Symbol=TSLA.NAS +RS_TSLA_TimeFrame=16385||0||0||49153||N +RS_TSLA_RSI_Period=14||14||1||140||N +RS_TSLA_RSI_Applied_Price=1||1||0||7||N +RS_TSLA_RSI_Overbought=54||54.0||5.400000||540.000000||N +RS_TSLA_RSI_Oversold=73||73.0||7.300000||730.000000||N +RS_TSLA_RSI_Target_Buy=87||87.0||8.700000||870.000000||N +RS_TSLA_RSI_Target_Sell=33||33.0||3.300000||330.000000||N +RS_TSLA_BarsToWait=1||1||1||10||N +RS_TSLA_LotSize=50||5.0||0.500000||50.000000||N +RS_TSLA_MagicNumber=125421321||125421321||1||1254213210||N +RS_TSLA_Slippage=3||3||1||30||N +; === RSI Scalping XAUUSD === +RS_XAUUSD_Symbol=XAUUSD +RS_XAUUSD_TimeFrame=16385||0||0||49153||N +RS_XAUUSD_RSI_Period=14||14||1||140||N +RS_XAUUSD_RSI_Applied_Price=1||1||0||7||N +RS_XAUUSD_RSI_Overbought=71||71.0||7.100000||710.000000||N +RS_XAUUSD_RSI_Oversold=57||57.0||5.700000||570.000000||N +RS_XAUUSD_RSI_Target_Buy=80||80.0||8.000000||800.000000||N +RS_XAUUSD_RSI_Target_Sell=57||57.0||5.700000||570.000000||N +RS_XAUUSD_BarsToWait=4||4||1||40||N +RS_XAUUSD_LotSize=0.1||0.1||0.010000||1.000000||N +RS_XAUUSD_MagicNumber=129102315||129102315||1||1291023150||N +RS_XAUUSD_Slippage=3||3||1||30||N +; === RSI Scalping MU === +RS_MU_Symbol=MU.NAS +RS_MU_TimeFrame=20||0||0||49153||N +RS_MU_RSI_Period=14||14||1||140||N +RS_MU_RSI_Applied_Price=1||1||0||7||N +RS_MU_RSI_Overbought=32||32.0||3.200000||320.000000||N +RS_MU_RSI_Oversold=86||86.0||8.600000||860.000000||N +RS_MU_RSI_Target_Buy=100||100.0||10.000000||1000.000000||N +RS_MU_RSI_Target_Sell=24||24.0||2.400000||240.000000||N +RS_MU_BarsToWait=34||34||1||340||N +RS_MU_LotSize=5||5.0||0.500000||50.000000||N +RS_MU_MagicNumber=129102316||129102316||1||1291023160||N +RS_MU_Slippage=3||3||1||30||N +; === RSI Scalping Reversal Escape (XAUUSD only) === +RS_UseReversalEscape=true||false||0||true||N +RS_ReversalATRPeriod=14||14||1||140||N +RS_ReversalAdverseAtrMult=5.25||5.25||0.525000||52.500000||N +RS_ReversalSignsRequired=2||2||1||20||N +RS_ReversalRsiVelocity=16||16.0||1.600000||160.000000||N +RS_ReversalBodyAtrMult=5.1||5.1||0.510000||51.000000||N +; === RSI Scalping APPL — Trailing (cluster-fuck BTC-style defaul +RS_APPL_UseTrailingStop=true||false||0||true||N +RS_APPL_TrailDistancePoints=120||120.0||12.000000||1200.000000||N +RS_APPL_TrailActivationPoints=0||0.0||0.000000||0.000000||N +; === RSI Scalping ADBE — Trailing === +RS_ADBE_UseTrailingStop=true||false||0||true||N +RS_ADBE_TrailDistancePoints=425||425.0||42.500000||4250.000000||N +RS_ADBE_TrailActivationPoints=18.5||18.5||1.850000||185.000000||N +; === RSI Scalping BTCUSD — Trailing === +RS_BTCUSD_UseTrailingStop=true||false||0||true||N +RS_BTCUSD_TrailDistancePoints=120||120.0||12.000000||1200.000000||N +RS_BTCUSD_TrailActivationPoints=0||0.0||0.000000||0.000000||N +; === RSI Scalping NVDA — Trailing === +RS_NVDA_UseTrailingStop=true||false||0||true||N +RS_NVDA_TrailDistancePoints=375||375.0||37.500000||3750.000000||N +RS_NVDA_TrailActivationPoints=75||75.0||7.500000||750.000000||N +; === RSI Scalping TSLA — Trailing === +RS_TSLA_UseTrailingStop=true||false||0||true||N +RS_TSLA_TrailDistancePoints=900||900.0||90.000000||9000.000000||N +RS_TSLA_TrailActivationPoints=500||500.0||50.000000||5000.000000||N +; === RSI Scalping XAUUSD — Trailing === +RS_XAUUSD_UseTrailingStop=true||false||0||true||N +RS_XAUUSD_TrailDistancePoints=71||71.0||7.100000||710.000000||N +RS_XAUUSD_TrailActivationPoints=41||41.0||4.100000||410.000000||N +; === RSI Reversal Asian EURUSD === +RRA_EURUSD_Symbol=EURUSD +RRA_EURUSD_RSIPeriod=28||28||1||280||N +RRA_EURUSD_OverboughtLevel=60||60.0||6.000000||600.000000||N +RRA_EURUSD_OversoldLevel=8||8.0||0.800000||80.000000||N +RRA_EURUSD_TakeProfitPips=175||175||1||1750||N +RRA_EURUSD_StopLossPips=5||5||1||50||N +RRA_EURUSD_MaxLotSize=0.1||0.1||0.010000||1.000000||N +RRA_EURUSD_MaxSpread=1000||1000||1||10000||N +RRA_EURUSD_MaxDuration=270||270||1||2700||N +RRA_EURUSD_UseStopLoss=false||false||0||true||N +RRA_EURUSD_UseTakeProfit=false||false||0||true||N +RRA_EURUSD_UseRSIExit=true||false||0||true||N +RRA_EURUSD_RSIExitLevel=55||55.0||5.500000||550.000000||N +RRA_EURUSD_CloseOutsideSession=false||false||0||true||N +RRA_EURUSD_TimeFrame=15||0||0||49153||N +RRA_EURUSD_MagicNumber=30001||30001||1||300010||N +RRA_EURUSD_Slippage=3||3||1||30||N +; === RSI Reversal Asian AUDUSD === +RRA_AUDUSD_Symbol=AUDUSD +RRA_AUDUSD_RSIPeriod=28||28||1||280||N +RRA_AUDUSD_OverboughtLevel=68||68.0||6.800000||680.000000||N +RRA_AUDUSD_OversoldLevel=30||30.0||3.000000||300.000000||N +RRA_AUDUSD_TakeProfitPips=175||175||1||1750||N +RRA_AUDUSD_StopLossPips=5||5||1||50||N +RRA_AUDUSD_MaxLotSize=0.2||0.2||0.020000||2.000000||N +RRA_AUDUSD_MaxSpread=1000||1000||1||10000||N +RRA_AUDUSD_MaxDuration=340||340||1||3400||N +RRA_AUDUSD_UseStopLoss=false||false||0||true||N +RRA_AUDUSD_UseTakeProfit=false||false||0||true||N +RRA_AUDUSD_UseRSIExit=true||false||0||true||N +RRA_AUDUSD_RSIExitLevel=48||48.0||4.800000||480.000000||N +RRA_AUDUSD_CloseOutsideSession=true||false||0||true||N +RRA_AUDUSD_TimeFrame=15||0||0||49153||N +RRA_AUDUSD_MagicNumber=30002||30002||1||300020||N +RRA_AUDUSD_Slippage=3||3||1||30||N +; === SuperEMA (EMA + CCI + MACD) === +SE_Symbol=XAUUSD +SE_Timeframe=15||0||0||49153||N +SE_LotSize=0.01||0.01||0.001000||0.100000||N +SE_SlippagePoints=55||55||1||550||N +SE_MagicNumber=940001||940001||1||9400010||N +SE_EmaFast=40||40||1||400||N +SE_EmaMid=180||180||1||1800||N +SE_EmaSlow=125||125||1||1250||N +SE_EmaTrendBars=3||3||1||30||N +SE_CciPeriod=17||17||1||170||N +SE_CciOverbought=80||80.0||8.000000||800.000000||N +SE_CciOversold=-140||-140.0||-14.000000||-1400.000000||N +SE_PullbackCciLookback=20||20||1||200||N +SE_MacdFast=14||14||1||140||N +SE_MacdSlow=38||38||1||380||N +SE_MacdSignal=9||9||1||90||N +SE_EntryStyle=1||0||0||2||N +SE_OneTradeOnly=true||false||0||true||N +SE_UseStructuralSL=false||false||0||true||N +SE_SlBufferPoints=110||110.0||11.000000||1100.000000||N +SE_ExitOnTrendFlip=false||false||0||true||N +SE_ExitOnMacdFlip=false||false||0||true||N +SE_ExitOnCciZeroCross=true||false||0||true||N +SE_MaxHoldingBars=168||168||1||1680||N +SE_ExitBelowMidEma=false||false||0||true||N +SE_DebugLogs=false||false||0||true||N +; === RSI Consolidation (ranging / mean-reversion) === +RCO_Symbol=XAUUSD +RCO_SignalTF=15||0||0||49153||N +RCO_EntryOnNewBarOnly=true||false||0||true||N +RCO_ADX_Period=23||23||1||230||N +RCO_ADX_Max=29||29.0||2.900000||290.000000||N +RCO_UseATRRatioFilter=true||false||0||true||N +RCO_ATR_Period=8||8||1||80||N +RCO_ATR_SMA_Period=35||35||1||350||N +RCO_ATR_Ratio_Max=1.36||1.36||0.136000||13.600000||N +RCO_UseFlatEMAFilter=true||false||0||true||N +RCO_EMA_Fast=13||13||1||130||N +RCO_EMA_Slow=17||17||1||170||N +RCO_EMA_Separation_MaxPct=0.26||0.26||0.026000||2.600000||N +RCO_RSI_Period=8||8||1||80||N +RCO_RSI_Price=2||1||0||7||N +RCO_RSI_Oversold=22||22.0||2.200000||220.000000||N +RCO_RSI_Overbought=63||63.0||6.300000||630.000000||N +RCO_UseRSI_MeanExit=true||false||0||true||N +RCO_RSI_Exit_Long=48||48.0||4.800000||480.000000||N +RCO_RSI_Exit_Short=52||52.0||5.200000||520.000000||N +RCO_SL_ATR_Mult=2.15||2.15||0.215000||21.500000||N +RCO_TP_ATR_Mult=2.4||2.4||0.240000||24.000000||N +RCO_MaxBarsInTrade=54||54||1||540||N +RCO_Lots=0.1||0.1||0.010000||1.000000||N +RCO_MagicNumber=20250420||20250420||1||202504200||N +RCO_Slippage=10||10||1||100||N +RCO_MaxSpreadPoints=28||28||1||280||N +; === SimpleTrendline BTCUSD === +ST_BTC_Symbol=BTCUSD +ST_BTC_SignalTF=16385||0||0||49153||N +ST_BTC_HigherTF=16388||0||0||49153||N +ST_BTC_MAPeriod=150||150||1||1500||N +ST_BTC_MAMethod=2||0||0||3||N +ST_BTC_AppliedPrice=2||1||0||7||N +ST_BTC_HTFBarsToScan=1200||1200||1||12000||N +ST_BTC_LineTouchTolerance=170||170.0||17.000000||1700.000000||N +ST_BTC_BreakBuffer=90||90.0||9.000000||900.000000||N +ST_BTC_MagicNumber=26042501||26042501||1||260425010||N +ST_BTC_DrawTrendline=true||false||0||true||N +; === SimpleTrendline XAUUSD === +ST_XAU_Symbol=XAUUSD +ST_XAU_SignalTF=16385||0||0||49153||N +ST_XAU_HigherTF=10||0||0||49153||N +ST_XAU_MAPeriod=65||65||1||650||N +ST_XAU_MAMethod=1||0||0||3||N +ST_XAU_AppliedPrice=2||1||0||7||N +ST_XAU_HTFBarsToScan=500||500||1||5000||N +ST_XAU_LineTouchTolerance=220||220.0||22.000000||2200.000000||N +ST_XAU_BreakBuffer=110||110.0||11.000000||1100.000000||N +ST_XAU_MagicNumber=26042503||26042501||1||260425010||N +ST_XAU_DrawTrendline=true||false||0||true||N +; === SimpleTrendline GER40 === +ST_GER_Symbol=GER40 +ST_GER_SignalTF=15||0||0||49153||N +ST_GER_HigherTF=15||0||0||49153||N +ST_GER_MAPeriod=65||65||1||650||N +ST_GER_MAMethod=3||0||0||3||N +ST_GER_AppliedPrice=2||1||0||7||N +ST_GER_HTFBarsToScan=1200||1200||1||12000||N +ST_GER_LineTouchTolerance=100||100.0||10.000000||1000.000000||N +ST_GER_BreakBuffer=80||80.0||8.000000||800.000000||N +ST_GER_MagicNumber=26042502||26042502||1||260425020||N +ST_GER_DrawTrendline=true||false||0||true||N +; === RSI Secret Sauce XAUUSD === +RSS_Symbol=XAUUSD +RSS_MagicNumber=789012||789012||1||7890120||N +RSS_Slippage=10||10||1||100||N +RSS_Timeframe=30||0||0||49153||N +RSS_RSIPeriod=16||16||1||160||N +RSS_RSIOverbought=72.5||72.5||7.250000||725.000000||N +RSS_RSIOversold=32.5||32.5||3.250000||325.000000||N +RSS_RSILookback=60||60||1||600||N +RSS_PeakBars=2||2||1||20||N +RSS_StopLossATR=2.75||2.75||0.275000||27.500000||N +RSS_TakeProfitATR=5||5.0||0.500000||50.000000||N +RSS_ATRPeriod=14||14||1||140||N +RSS_UseSwingStopLoss=false||false||0||true||N +RSS_SwingLookback=30||30||1||300||N +RSS_MaxPositions=1||1||1||10||N +RSS_MinBarsBetweenTrades=7||7||1||70||N +; === USDJPY Buster (Asian range breakout) === +UB_Symbol=USDJPY +UB_RangeStartHour=3||3||1||30||N +UB_RangeEndHour=6||6||1||60||N +UB_CloseHour=18||18||1||180||N +UB_RangeTF=20||0||0||49153||N +UB_MinRangePoints=15||15||1||150||N +UB_OrderBufferPoints=4.75||4.75||0.475000||47.500000||N +UB_FirstTradeOnly=false||false||0||true||N +UB_AllowLong=true||false||0||true||N +UB_AllowShort=true||false||0||true||N +UB_UseTakeProfit=false||false||0||true||N +UB_TakeProfitPoints=0||0.0||0.000000||0.000000||N +UB_RiskMode=2||0||0||2||N +UB_FixedRiskMoney=250||250.0||25.000000||2500.000000||N +UB_RiskPercent=0.1||0.1||0.010000||1.000000||N +UB_FixedLots=0.01||0.01||0.001000||0.100000||N +UB_MagicNumber=927002||927002||1||9270020||N +UB_Slippage=20||20||1||200||N +UB_MaxSpreadPoints=20||20||1||200||N +UB_DrawRange=false||false||0||true||N +UB_DebugLog=false||false||0||true||N diff --git a/frontline/cluster-latest/123_close_recommended.set b/frontline/cluster-latest/123_close_recommended.set new file mode 100644 index 0000000..5a1a351 --- /dev/null +++ b/frontline/cluster-latest/123_close_recommended.set @@ -0,0 +1,491 @@ +; saved on 2026.06.18 13:01:44 +; this file contains input parameters for testing/optimizing main expert advisor +; to use it in the strategy tester, click Load in the context menu of the Inputs tab +; +; === Strategy Enable/Disable === +; +; === Signal Replacement — close unprofitable on new signal (per strategy) === +DB_CloseUnprofitableOnNewSignal=false||false||0||true||N +ES_CloseUnprofitableOnNewSignal=true +RC_CloseUnprofitableOnNewSignal=false||false||0||true||N +RM_CloseUnprofitableOnNewSignal=false||false||0||true||N +RS_APPL_CloseUnprofitableOnNewSignal=false||false||0||true||N +RS_ADBE_CloseUnprofitableOnNewSignal=false||false||0||true||N +RS_BTCUSD_CloseUnprofitableOnNewSignal=false||false||0||true||N +RS_NVDA_CloseUnprofitableOnNewSignal=false||false||0||true||N +RS_TSLA_CloseUnprofitableOnNewSignal=false||false||0||true||N +RS_XAUUSD_CloseUnprofitableOnNewSignal=true +RS_MU_CloseUnprofitableOnNewSignal=false||false||0||true||N +RRA_EURUSD_CloseUnprofitableOnNewSignal=false||false||0||true||N +RRA_AUDUSD_CloseUnprofitableOnNewSignal=false||false||0||true||N +RRA_GBPUSD_CloseUnprofitableOnNewSignal=false||false||0||true||N +SE_CloseUnprofitableOnNewSignal=false||false||0||true||N +RCO_CloseUnprofitableOnNewSignal=false||false||0||true||N +ST_BTC_CloseUnprofitableOnNewSignal=false||false||0||true||N +ST_XAU_CloseUnprofitableOnNewSignal=false||false||0||true||N +ST_GER_CloseUnprofitableOnNewSignal=false||false||0||true||N +RSS_CloseUnprofitableOnNewSignal=false||false||0||true||N +UB_CloseUnprofitableOnNewSignal=false||false||0||true||N +GB_CloseUnprofitableOnNewSignal=false||false||0||true||N +RS_NAS100_CloseUnprofitableOnNewSignal=false||false||0||true||N +RS_US30_CloseUnprofitableOnNewSignal=true +UKB_CloseUnprofitableOnNewSignal=false||false||0||true||N +U5B_CloseUnprofitableOnNewSignal=false||false||0||true||N +EnableDarvasBox=true||false||0||true||N +EnableEMASlopeDistance=true||false||0||true||N +EnableRSICrossOverReversal=true||false||0||true||N +EnableRSIMidPointHijack=true||false||0||true||N +EnableRSIScalpingAPPL=true||false||0||true||N +EnableRSIScalpingADBE=false||false||0||true||N +EnableRSIScalpingBTCUSD=true||false||0||true||N +EnableRSIScalpingNVDA=true||false||0||true||N +EnableRSIScalpingTSLA=true||false||0||true||N +EnableRSIScalpingXAUUSD=true||false||0||true||N +EnableRSIScalpingMU=true||false||0||true||N +EnableSuperEMA=true||false||0||true||N +EnableRSIConsolidation=true||false||0||true||N +EnableRSIReversalAsianEURUSD=true||false||0||true||N +EnableRSIReversalAsianAUDUSD=true||false||0||true||N +EnableSimpleTrendlineBTCUSD=true||false||0||true||N +EnableSimpleTrendlineXAUUSD=true||false||0||true||N +EnableSimpleTrendlineGER40=true||false||0||true||N +EnableRSISecretSauce=false||false||0||true||N +EnableUSDJPYBuster=true||false||0||true||N +OPT_GuardOptimizationMode=true||false||0||true||N +; === Centralized Lot Size (Granular Per Robot) === +LOT_DB_DarvasBox=0.06||0.01||0.01||0.100000||N +LOT_ES_EMASlopeDistance=0.1||0.01||0.01||0.100000||N +LOT_RC_RSICrossOver=0.05||0.01||0.01||0.100000||N +LOT_RM_RSIMidPointHijack=0.03||0.01||0.01||0.100000||N +LOT_RS_APPL=15||5||5||25||N +LOT_RS_ADBE=20||5.0||5||25||N +LOT_RS_BTCUSD=0.1||0.01||0.010000||0.100000||N +LOT_RS_NVDA=5||5||5||25||N +LOT_RS_TSLA=10||5.0||5||25||N +LOT_RS_XAUUSD=0.1||0.010000||0.010000||0.100000||N +LOT_RS_MU=10||5.0||5||25||N +LOT_RRA_EURUSD=0.01||0.01||0.010000||0.100000||N +LOT_RRA_AUDUSD=0.1||0.01||0.010000||0.100000||N +LOT_SE_SuperEMA=0.01||0.01||0.010000||0.100000||N +LOT_RCO_RSIConsolidation=0.03||0.01||0.010000||0.100000||N +LOT_ST_BTCUSD=0.04||0.01||0.010000||0.100000||N +LOT_ST_XAUUSD=0.01||0.01||0.010000||0.100000||N +LOT_ST_GER40=0.01||0.01||0.010000||0.1||N +LOT_RSS_SecretSauce=0.1||0.1||0.010000||1.000000||N +LOT_UB_USDJPY=0.06||0.01||0.01||0.1||Y +; === Balance-based position sizing === +ORCH_ScaleLotsByBalance=true||false||0||true||N +ORCH_UseEquityInsteadOfBalance=false||false||0||true||N +ORCH_ReferenceBalance=3000||1000.0||100.000000||10000.000000||N +ORCH_MinBalanceScale=0.1||0.1||0.010000||1.000000||N +ORCH_MaxBalanceScale=100000||100000.0||10000.000000||1000000.000000||N +; === Gap Loss Prevention (跳空) === +GAP_Enable=false||false||0||true||N +GAP_CloseBeforeSessionEnd=true||false||0||true||N +GAP_MinutesBeforeClose=15||15||1||150||N +GAP_CloseBeforeWeekend=true||false||0||true||N +GAP_FridayCloseHour=20||20||1||200||N +GAP_CloseOnBarGapThroughSL=true||false||0||true||N +GAP_MinGapPoints=0||0.0||0.000000||0.000000||N +GAP_EquityDailyFlatHour=21||21||1||210||N +; === DarvasBox Strategy === +DB_Symbol=XAUUSD +DB_BoxPeriod=165||165||1||1650||N +DB_BoxDeviation=30000||30000.0||3000.000000||300000.000000||N +DB_VolumeThreshold=0||0||1||10||N +DB_StopLoss=1665||1665.0||166.500000||16650.000000||N +DB_TakeProfit=3685||3685.0||368.500000||36850.000000||N +DB_EnableLogging=false||false||0||true||N +DB_BoxColor=16711680 +DB_BoxWidth=1||1||1||10||N +DB_TrendTimeframe=16386||0||0||49153||N +DB_MA_Period=125||125||1||1250||N +DB_MA_Method=1||0||0||3||N +DB_MA_Price=7||1||0||7||N +DB_TrendThreshold=4.94||4.94||0.494000||49.400000||N +DB_VolumeMA_Period=110||110||1||1100||N +DB_VolumeThresholdMultiplier=1.5||1.5||0.150000||15.000000||N +DB_UseVolumeSpikeFilter=true||false||0||true||N +DB_UseTrendFilter=true||false||0||true||N +DB_MagicNumber=135790||135790||1||1357900||N +; === EMA Slope Distance Strategy === +ES_Symbol=XAUUSD +ES_EMA_Periode=46||46||1||460||N +ES_PreisSchwelle=600||600.0||60.000000||6000.000000||N +ES_SteigungSchwelle=80||80.0||8.000000||800.000000||N +ES_ÜberwachungTimeout=800||800||1||8000||N +ES_TrailingStop=250||370.0||37.000000||3700.000000||N +ES_UseTrailingStop=true||false||0||true||N +ES_TrailingActivationPips=0||0.0||0.000000||0.000000||N +ES_UseStaleStopLossExit=false||false||0||true||N +ES_StaleStopLossSeconds=33800||33800||1||338000||N +ES_LotGröße=0.03||0.07||0.007000||0.700000||N +ES_MagicNumber=12350||12350||1||123500||N +ES_UseSpreadAdjustment=true||false||0||true||N +ES_Timeframe=16385||0||0||49153||N +ES_UseBarData=true||false||0||true||N +ES_MaxTradesPerCrossover=9||9||1||90||N +ES_ProfitCheckBars=18||18||1||180||N +ES_CloseUnprofitableTrades=true||false||0||true||N +ES_UseWeeklyADXFilter=true||false||0||true||N +ES_WeeklyADXPeriod=15||15||1||150||N +ES_WeeklyADXMin=40||40.0||4.000000||400.000000||N +ES_WeeklyADXBarShift=2||2||1||20||N +ES_WeeklyADXUseDirection=true||false||0||true||N +; === RSI CrossOver Reversal Strategy === +RC_Symbol=XAUUSD +RC_MagicNumber=7||7||1||70||N +RC_rsiPeriod=19||19||1||190||N +RC_overboughtLevel=93||93||1||930||N +RC_oversoldLevel=22||22||1||220||N +RC_entryRSIBuySpread=0||0.0||0.000000||0.000000||N +RC_entryRSISellSpread=0||0.0||0.000000||0.000000||N +RC_lotSize=0.01||0.1||0.010000||1.000000||N +RC_slippage=3||3||1||30||N +RC_cooldownSeconds=209||209||1||2090||N +RC_TimeFrame1=1||0||0||49153||N +RC_TimeFrame2=1||0||0||49153||N +RC_BarTimeFrame=12||0||0||49153||N +RC_emaPeriod=140||140||1||1400||N +RC_emaSlopeThreshold=105||105.0||10.500000||1050.000000||N +RC_exitBuyRSI=86||86.0||8.600000||860.000000||N +RC_exitSellRSI=10||10.0||1.000000||100.000000||N +RC_TrailingStop=295||295.0||29.500000||2950.000000||N +RC_emaDistanceThreshold=165||165.0||16.500000||1650.000000||N +RC_UseTrendStrengthFilter=true||false||0||true||N +RC_tradingHourOneBegin=24||24||1||240||N +RC_tradingHourOneEnd=22||22||1||220||N +RC_tradingHourTwoBegin=6||6||1||60||N +RC_tradingHourTwoEnd=19||19||1||190||N +RC_Sunday=false||false||0||true||N +RC_Monday=false||false||0||true||N +RC_Tuesday=true||false||0||true||N +RC_Wednesday=true||false||0||true||N +RC_Thursday=true||false||0||true||N +RC_Friday=false||false||0||true||N +RC_Saturday=false||false||0||true||N +; === RSI MidPoint Hijack Strategy === +RM_Symbol=XAUUSD +RM_InpTimeframe=16385||0||0||49153||N +RM_InpLotSize=0.02||0.1||0.010000||1.000000||N +RM_InpMagicNumberRSIFollow=1001||1001||1||10010||N +RM_InpMagicNumberRSIReverse=1002||1002||1||10020||N +RM_InpMagicNumberEMACross=1003||1003||1||10030||N +RM_InpEnableRSIFollow=true||false||0||true||N +RM_InpEnableRSIReverse=true||false||0||true||N +RM_InpEnableEMACross=true||false||0||true||N +RM_InpEnableStrategyLock=false||false||0||true||N +RM_InpLockProfitThreshold=0||0.0||0.000000||0.000000||N +RM_InpCloseOppositeTrades=false||false||0||true||N +RM_InpRSIPeriod=32||32||1||320||N +RM_InpRSIOverbought=78||78||1||780||N +RM_InpRSIOversold=46||46||1||460||N +RM_InpRSIExitLevel=44||44||1||440||N +RM_InpRSIFollowStartHour=23||23||1||230||N +RM_InpRSIFollowEndHour=8||8||1||80||N +RM_InpRSIFollowCloseOutsideHours=false||false||0||true||N +RM_InpRSIReversePeriod=59||59||1||590||N +RM_InpRSIReverseOverbought=51||51||1||510||N +RM_InpRSIReverseOversold=49||49||1||490||N +RM_InpRSIReverseCrossLevel=53||53||1||530||N +RM_InpRSIReverseExitLevel=48||48||1||480||N +RM_InpRSIReverseStartHour=7||7||1||70||N +RM_InpRSIReverseEndHour=13||13||1||130||N +RM_InpRSIReverseCloseOutsideHours=false||false||0||true||N +RM_InpRSIReverseCooldownBars=15||15||1||150||N +RM_InpRSIReverseCooldownOnLoss=true||false||0||true||N +RM_InpEMAPeriod=120||120||1||1200||N +RM_InpEMACrossStartHour=8||8||1||80||N +RM_InpEMACrossEndHour=14||14||1||140||N +RM_InpEMACrossCloseOutsideHours=true||false||0||true||N +RM_InpUseEMADistanceEntry=true||false||0||true||N +RM_InpEMADistancePips=160||160.0||16.000000||1600.000000||N +RM_InpEMADistancePeriod=26||26||1||260||N +; === RSI Scalping APPL (AAPL) - Pepperstone US === +RS_APPL_Symbol=AAPL.NAS +RS_APPL_TimeFrame=10||0||0||49153||N +RS_APPL_RSI_Period=14||8||1||80||N +RS_APPL_RSI_Applied_Price=1||1||0||7||N +RS_APPL_RSI_Overbought=80||62.0||6.200000||620.000000||N +RS_APPL_RSI_Oversold=78||32.0||3.200000||320.000000||N +RS_APPL_RSI_Target_Buy=94||67.0||6.700000||670.000000||N +RS_APPL_RSI_Target_Sell=44||2.0||0.200000||20.000000||N +RS_APPL_BarsToWait=7||5||1||50||N +RS_APPL_LotSize=25||25.0||2.500000||250.000000||N +RS_APPL_MagicNumber=20001||20001||1||200010||N +RS_APPL_Slippage=3||3||1||30||N +; === RSI Scalping ADBE - Pepperstone US === +RS_ADBE_Symbol=ADBE.NAS +RS_ADBE_TimeFrame=6||0||0||49153||N +RS_ADBE_RSI_Period=15||15||1||150||N +RS_ADBE_RSI_Applied_Price=2||1||0||7||N +RS_ADBE_RSI_Overbought=16||16.0||1.600000||160.000000||N +RS_ADBE_RSI_Oversold=42||42.0||4.200000||420.000000||N +RS_ADBE_RSI_Target_Buy=67||67.0||6.700000||670.000000||N +RS_ADBE_RSI_Target_Sell=62||62.0||6.200000||620.000000||N +RS_ADBE_BarsToWait=8||8||1||80||N +RS_ADBE_LotSize=5||5.0||0.500000||50.000000||N +RS_ADBE_MagicNumber=12345||12345||1||123450||N +RS_ADBE_Slippage=3||3||1||30||N +; === RSI Scalping BTCUSD === +RS_BTCUSD_Symbol=BTCUSD +RS_BTCUSD_TimeFrame=16385||0||0||49153||N +RS_BTCUSD_RSI_Period=14||14||1||140||N +RS_BTCUSD_RSI_Applied_Price=1||1||0||7||N +RS_BTCUSD_RSI_Overbought=90||90.0||9.000000||900.000000||N +RS_BTCUSD_RSI_Oversold=73||73.0||7.300000||730.000000||N +RS_BTCUSD_RSI_Target_Buy=88||88.0||8.800000||880.000000||N +RS_BTCUSD_RSI_Target_Sell=48||48.0||4.800000||480.000000||N +RS_BTCUSD_BarsToWait=6||6||1||60||N +RS_BTCUSD_LotSize=0.1||0.1||0.010000||1.000000||N +RS_BTCUSD_MagicNumber=123459123||123459123||1||1234591230||N +RS_BTCUSD_Slippage=3||3||1||30||N +; === RSI Scalping NVDA - Pepperstone US === +RS_NVDA_Symbol=NVDA.NAS +RS_NVDA_TimeFrame=15||0||0||49153||N +RS_NVDA_RSI_Period=8||8||1||80||N +RS_NVDA_RSI_Applied_Price=1||1||0||7||N +RS_NVDA_RSI_Overbought=36||36.0||3.600000||360.000000||N +RS_NVDA_RSI_Oversold=38||38.0||3.800000||380.000000||N +RS_NVDA_RSI_Target_Buy=90||90.0||9.000000||900.000000||N +RS_NVDA_RSI_Target_Sell=70||70.0||7.000000||700.000000||N +RS_NVDA_BarsToWait=5||5||1||50||N +RS_NVDA_LotSize=50||5.0||0.500000||50.000000||N +RS_NVDA_MagicNumber=20003||20003||1||200030||N +RS_NVDA_Slippage=3||3||1||30||N +; === RSI Scalping TSLA - Pepperstone US === +RS_TSLA_Symbol=TSLA.NAS +RS_TSLA_TimeFrame=16385||0||0||49153||N +RS_TSLA_RSI_Period=14||14||1||140||N +RS_TSLA_RSI_Applied_Price=1||1||0||7||N +RS_TSLA_RSI_Overbought=54||54.0||5.400000||540.000000||N +RS_TSLA_RSI_Oversold=73||73.0||7.300000||730.000000||N +RS_TSLA_RSI_Target_Buy=87||87.0||8.700000||870.000000||N +RS_TSLA_RSI_Target_Sell=33||33.0||3.300000||330.000000||N +RS_TSLA_BarsToWait=1||1||1||10||N +RS_TSLA_LotSize=50||5.0||0.500000||50.000000||N +RS_TSLA_MagicNumber=125421321||125421321||1||1254213210||N +RS_TSLA_Slippage=3||3||1||30||N +; === RSI Scalping XAUUSD === +RS_XAUUSD_Symbol=XAUUSD +RS_XAUUSD_TimeFrame=16385||0||0||49153||N +RS_XAUUSD_RSI_Period=14||14||1||140||N +RS_XAUUSD_RSI_Applied_Price=1||1||0||7||N +RS_XAUUSD_RSI_Overbought=71||71.0||7.100000||710.000000||N +RS_XAUUSD_RSI_Oversold=57||57.0||5.700000||570.000000||N +RS_XAUUSD_RSI_Target_Buy=80||80.0||8.000000||800.000000||N +RS_XAUUSD_RSI_Target_Sell=57||57.0||5.700000||570.000000||N +RS_XAUUSD_BarsToWait=4||4||1||40||N +RS_XAUUSD_LotSize=0.1||0.1||0.010000||1.000000||N +RS_XAUUSD_MagicNumber=129102315||129102315||1||1291023150||N +RS_XAUUSD_Slippage=3||3||1||30||N +; === RSI Scalping MU === +RS_MU_Symbol=MU.NAS +RS_MU_TimeFrame=20||0||0||49153||N +RS_MU_RSI_Period=14||14||1||140||N +RS_MU_RSI_Applied_Price=1||1||0||7||N +RS_MU_RSI_Overbought=32||32.0||3.200000||320.000000||N +RS_MU_RSI_Oversold=86||86.0||8.600000||860.000000||N +RS_MU_RSI_Target_Buy=100||100.0||10.000000||1000.000000||N +RS_MU_RSI_Target_Sell=24||24.0||2.400000||240.000000||N +RS_MU_BarsToWait=34||34||1||340||N +RS_MU_LotSize=5||5.0||0.500000||50.000000||N +RS_MU_MagicNumber=129102316||129102316||1||1291023160||N +RS_MU_Slippage=3||3||1||30||N +; === RSI Scalping Reversal Escape (XAUUSD only) === +RS_UseReversalEscape=true||false||0||true||N +RS_ReversalATRPeriod=14||14||1||140||N +RS_ReversalAdverseAtrMult=5.25||5.25||0.525000||52.500000||N +RS_ReversalSignsRequired=2||2||1||20||N +RS_ReversalRsiVelocity=16||16.0||1.600000||160.000000||N +RS_ReversalBodyAtrMult=5.1||5.1||0.510000||51.000000||N +; === RSI Scalping APPL — Trailing (cluster-fuck BTC-style defaul +RS_APPL_UseTrailingStop=true||false||0||true||N +RS_APPL_TrailDistancePoints=120||120.0||12.000000||1200.000000||N +RS_APPL_TrailActivationPoints=0||0.0||0.000000||0.000000||N +; === RSI Scalping ADBE — Trailing === +RS_ADBE_UseTrailingStop=true||false||0||true||N +RS_ADBE_TrailDistancePoints=425||425.0||42.500000||4250.000000||N +RS_ADBE_TrailActivationPoints=18.5||18.5||1.850000||185.000000||N +; === RSI Scalping BTCUSD — Trailing === +RS_BTCUSD_UseTrailingStop=true||false||0||true||N +RS_BTCUSD_TrailDistancePoints=120||120.0||12.000000||1200.000000||N +RS_BTCUSD_TrailActivationPoints=0||0.0||0.000000||0.000000||N +; === RSI Scalping NVDA — Trailing === +RS_NVDA_UseTrailingStop=true||false||0||true||N +RS_NVDA_TrailDistancePoints=375||375.0||37.500000||3750.000000||N +RS_NVDA_TrailActivationPoints=75||75.0||7.500000||750.000000||N +; === RSI Scalping TSLA — Trailing === +RS_TSLA_UseTrailingStop=true||false||0||true||N +RS_TSLA_TrailDistancePoints=900||900.0||90.000000||9000.000000||N +RS_TSLA_TrailActivationPoints=500 +; === RSI Scalping XAUUSD — Trailing === +RS_XAUUSD_UseTrailingStop=true||false||0||true||N +RS_XAUUSD_TrailDistancePoints=71||71.0||7.100000||710.000000||N +RS_XAUUSD_TrailActivationPoints=41||41.0||4.100000||410.000000||N +; === RSI Reversal Asian EURUSD === +RRA_EURUSD_Symbol=EURUSD +RRA_EURUSD_RSIPeriod=28||28||1||280||N +RRA_EURUSD_OverboughtLevel=60||60.0||6.000000||600.000000||N +RRA_EURUSD_OversoldLevel=8||8.0||0.800000||80.000000||N +RRA_EURUSD_TakeProfitPips=175||175||1||1750||N +RRA_EURUSD_StopLossPips=5||5||1||50||N +RRA_EURUSD_MaxLotSize=0.1||0.1||0.010000||1.000000||N +RRA_EURUSD_MaxSpread=1000||1000||1||10000||N +RRA_EURUSD_MaxDuration=270||270||1||2700||N +RRA_EURUSD_UseStopLoss=false||false||0||true||N +RRA_EURUSD_UseTakeProfit=false||false||0||true||N +RRA_EURUSD_UseRSIExit=true||false||0||true||N +RRA_EURUSD_RSIExitLevel=55||55.0||5.500000||550.000000||N +RRA_EURUSD_CloseOutsideSession=false||false||0||true||N +RRA_EURUSD_TimeFrame=15||0||0||49153||N +RRA_EURUSD_MagicNumber=30001||30001||1||300010||N +RRA_EURUSD_Slippage=3||3||1||30||N +; === RSI Reversal Asian AUDUSD === +RRA_AUDUSD_Symbol=AUDUSD +RRA_AUDUSD_RSIPeriod=28||28||1||280||N +RRA_AUDUSD_OverboughtLevel=68||68.0||6.800000||680.000000||N +RRA_AUDUSD_OversoldLevel=30||30.0||3.000000||300.000000||N +RRA_AUDUSD_TakeProfitPips=175||175||1||1750||N +RRA_AUDUSD_StopLossPips=5||5||1||50||N +RRA_AUDUSD_MaxLotSize=0.2||0.2||0.020000||2.000000||N +RRA_AUDUSD_MaxSpread=1000||1000||1||10000||N +RRA_AUDUSD_MaxDuration=340||340||1||3400||N +RRA_AUDUSD_UseStopLoss=false||false||0||true||N +RRA_AUDUSD_UseTakeProfit=false||false||0||true||N +RRA_AUDUSD_UseRSIExit=true||false||0||true||N +RRA_AUDUSD_RSIExitLevel=48||48.0||4.800000||480.000000||N +RRA_AUDUSD_CloseOutsideSession=true||false||0||true||N +RRA_AUDUSD_TimeFrame=15||0||0||49153||N +RRA_AUDUSD_MagicNumber=30002||30002||1||300020||N +RRA_AUDUSD_Slippage=3||3||1||30||N +; === SuperEMA (EMA + CCI + MACD) === +SE_Symbol=XAUUSD +SE_Timeframe=15||0||0||49153||N +SE_LotSize=0.01||0.01||0.001000||0.100000||N +SE_SlippagePoints=55||55||1||550||N +SE_MagicNumber=940001||940001||1||9400010||N +SE_EmaFast=40||40||1||400||N +SE_EmaMid=180||180||1||1800||N +SE_EmaSlow=125||125||1||1250||N +SE_EmaTrendBars=3||3||1||30||N +SE_CciPeriod=17||17||1||170||N +SE_CciOverbought=80||80.0||8.000000||800.000000||N +SE_CciOversold=-140||-140.0||-14.000000||-1400.000000||N +SE_PullbackCciLookback=20||20||1||200||N +SE_MacdFast=14||14||1||140||N +SE_MacdSlow=38||38||1||380||N +SE_MacdSignal=9||9||1||90||N +SE_EntryStyle=1||0||0||2||N +SE_OneTradeOnly=true||false||0||true||N +SE_UseStructuralSL=false||false||0||true||N +SE_SlBufferPoints=110||110.0||11.000000||1100.000000||N +SE_ExitOnTrendFlip=false||false||0||true||N +SE_ExitOnMacdFlip=false||false||0||true||N +SE_ExitOnCciZeroCross=true||false||0||true||N +SE_MaxHoldingBars=168||168||1||1680||N +SE_ExitBelowMidEma=false||false||0||true||N +SE_DebugLogs=false||false||0||true||N +; === RSI Consolidation (ranging / mean-reversion) === +RCO_Symbol=XAUUSD +RCO_SignalTF=15||0||0||49153||N +RCO_EntryOnNewBarOnly=true||false||0||true||N +RCO_ADX_Period=23||23||1||230||N +RCO_ADX_Max=29||29.0||2.900000||290.000000||N +RCO_UseATRRatioFilter=true||false||0||true||N +RCO_ATR_Period=8||8||1||80||N +RCO_ATR_SMA_Period=35||35||1||350||N +RCO_ATR_Ratio_Max=1.36||1.36||0.136000||13.600000||N +RCO_UseFlatEMAFilter=true||false||0||true||N +RCO_EMA_Fast=13||13||1||130||N +RCO_EMA_Slow=17||17||1||170||N +RCO_EMA_Separation_MaxPct=0.26||0.26||0.026000||2.600000||N +RCO_RSI_Period=8||8||1||80||N +RCO_RSI_Price=2||1||0||7||N +RCO_RSI_Oversold=22||22.0||2.200000||220.000000||N +RCO_RSI_Overbought=63||63.0||6.300000||630.000000||N +RCO_UseRSI_MeanExit=true||false||0||true||N +RCO_RSI_Exit_Long=48||48.0||4.800000||480.000000||N +RCO_RSI_Exit_Short=52||52.0||5.200000||520.000000||N +RCO_SL_ATR_Mult=2.15||2.15||0.215000||21.500000||N +RCO_TP_ATR_Mult=2.4||2.4||0.240000||24.000000||N +RCO_MaxBarsInTrade=54||54||1||540||N +RCO_Lots=0.1||0.1||0.010000||1.000000||N +RCO_MagicNumber=20250420||20250420||1||202504200||N +RCO_Slippage=10||10||1||100||N +RCO_MaxSpreadPoints=28||28||1||280||N +; === SimpleTrendline BTCUSD === +ST_BTC_Symbol=BTCUSD +ST_BTC_SignalTF=16385||0||0||49153||N +ST_BTC_HigherTF=16388||0||0||49153||N +ST_BTC_MAPeriod=150||150||1||1500||N +ST_BTC_MAMethod=2||0||0||3||N +ST_BTC_AppliedPrice=2||1||0||7||N +ST_BTC_HTFBarsToScan=1200||1200||1||12000||N +ST_BTC_LineTouchTolerance=170||170.0||17.000000||1700.000000||N +ST_BTC_BreakBuffer=90||90.0||9.000000||900.000000||N +ST_BTC_MagicNumber=26042501||26042501||1||260425010||N +ST_BTC_DrawTrendline=true||false||0||true||N +; === SimpleTrendline XAUUSD === +ST_XAU_Symbol=XAUUSD +ST_XAU_SignalTF=16385||0||0||49153||N +ST_XAU_HigherTF=10||0||0||49153||N +ST_XAU_MAPeriod=65||65||1||650||N +ST_XAU_MAMethod=1||0||0||3||N +ST_XAU_AppliedPrice=2||1||0||7||N +ST_XAU_HTFBarsToScan=500||500||1||5000||N +ST_XAU_LineTouchTolerance=220||220.0||22.000000||2200.000000||N +ST_XAU_BreakBuffer=110||110.0||11.000000||1100.000000||N +ST_XAU_MagicNumber=26042503||26042501||1||260425010||N +ST_XAU_DrawTrendline=true||false||0||true||N +; === SimpleTrendline GER40 === +ST_GER_Symbol=GER40 +ST_GER_SignalTF=15||0||0||49153||N +ST_GER_HigherTF=15||0||0||49153||N +ST_GER_MAPeriod=65||65||1||650||N +ST_GER_MAMethod=3||0||0||3||N +ST_GER_AppliedPrice=2||1||0||7||N +ST_GER_HTFBarsToScan=1200||1200||1||12000||N +ST_GER_LineTouchTolerance=100||100.0||10.000000||1000.000000||N +ST_GER_BreakBuffer=80||80.0||8.000000||800.000000||N +ST_GER_MagicNumber=26042502||26042502||1||260425020||N +ST_GER_DrawTrendline=true||false||0||true||N +; === RSI Secret Sauce XAUUSD === +RSS_Symbol=XAUUSD +RSS_MagicNumber=789012||789012||1||7890120||N +RSS_Slippage=10||10||1||100||N +RSS_Timeframe=30||0||0||49153||N +RSS_RSIPeriod=16||16||1||160||N +RSS_RSIOverbought=72.5||72.5||7.250000||725.000000||N +RSS_RSIOversold=32.5||32.5||3.250000||325.000000||N +RSS_RSILookback=60||60||1||600||N +RSS_PeakBars=2||2||1||20||N +RSS_StopLossATR=2.75||2.75||0.275000||27.500000||N +RSS_TakeProfitATR=5||5.0||0.500000||50.000000||N +RSS_ATRPeriod=14||14||1||140||N +RSS_UseSwingStopLoss=false||false||0||true||N +RSS_SwingLookback=30||30||1||300||N +RSS_MaxPositions=1||1||1||10||N +RSS_MinBarsBetweenTrades=7||7||1||70||N +; === USDJPY Buster (Asian range breakout) === +UB_Symbol=USDJPY +UB_RangeStartHour=3||3||1||30||N +UB_RangeEndHour=6||6||1||60||N +UB_CloseHour=18||18||1||180||N +UB_RangeTF=20||0||0||49153||N +UB_MinRangePoints=15||15||1||150||N +UB_OrderBufferPoints=4.75||4.75||0.475000||47.500000||N +UB_FirstTradeOnly=false||false||0||true||N +UB_AllowLong=true||false||0||true||N +UB_AllowShort=true||false||0||true||N +UB_UseTakeProfit=false||false||0||true||N +UB_TakeProfitPoints=0||0.0||0.000000||0.000000||N +UB_RiskMode=2||0||0||2||N +UB_FixedRiskMoney=250||250.0||25.000000||2500.000000||N +UB_RiskPercent=0.1||0.1||0.010000||1.000000||N +UB_FixedLots=0.01||0.01||0.001000||0.100000||N +UB_MagicNumber=927002||927002||1||9270020||N +UB_Slippage=20||20||1||200||N +UB_MaxSpreadPoints=20||20||1||200||N +UB_DrawRange=false||false||0||true||N +UB_DebugLog=false||false||0||true||N diff --git a/frontline/cluster-latest/GapGuard.mqh b/frontline/cluster-latest/GapGuard.mqh new file mode 100644 index 0000000..f7063c1 --- /dev/null +++ b/frontline/cluster-latest/GapGuard.mqh @@ -0,0 +1,352 @@ +//+------------------------------------------------------------------+ +//| GapGuard.mqh | +//| Gap-loss prevention: flat before session/weekend, gap-through-SL | +//+------------------------------------------------------------------+ +#ifndef GAP_GUARD_MQH +#define GAP_GUARD_MQH + +#include + +struct GapGuardConfig +{ + bool enable; + bool closeBeforeSessionEnd; + int minutesBeforeClose; + bool closeBeforeWeekend; + int fridayCloseHour; + bool closeOnBarGapThroughSL; + double minGapPoints; + int equityDailyFlatHour; +}; + +GapGuardConfig g_gapCfg; +ulong g_gapMagics[]; +string g_gapSymbols[]; +datetime g_gapLastBarTime[]; + +//+------------------------------------------------------------------+ +void GapGuard_Reset() +{ + ArrayResize(g_gapMagics, 0); + ArrayResize(g_gapSymbols, 0); + ArrayResize(g_gapLastBarTime, 0); +} + +//+------------------------------------------------------------------+ +void GapGuard_Init(const GapGuardConfig &cfg) +{ + g_gapCfg = cfg; + GapGuard_Reset(); +} + +//+------------------------------------------------------------------+ +void GapGuard_RegisterMagic(const ulong magic) +{ + const int n = ArraySize(g_gapMagics); + for(int i = 0; i < n; i++) + { + if(g_gapMagics[i] == magic) + return; + } + ArrayResize(g_gapMagics, n + 1); + g_gapMagics[n] = magic; +} + +//+------------------------------------------------------------------+ +void GapGuard_RegisterSymbol(const string symbol) +{ + const int n = ArraySize(g_gapSymbols); + for(int i = 0; i < n; i++) + { + if(g_gapSymbols[i] == symbol) + return; + } + ArrayResize(g_gapSymbols, n + 1); + g_gapSymbols[n] = symbol; + ArrayResize(g_gapLastBarTime, n + 1); + g_gapLastBarTime[n] = 0; +} + +//+------------------------------------------------------------------+ +int GapGuard_SymbolIndex(const string symbol) +{ + for(int i = 0; i < ArraySize(g_gapSymbols); i++) + { + if(g_gapSymbols[i] == symbol) + return i; + } + return -1; +} + +//+------------------------------------------------------------------+ +bool GapGuard_IsEAMagic(const ulong magic) +{ + for(int i = 0; i < ArraySize(g_gapMagics); i++) + { + if(g_gapMagics[i] == magic) + return true; + } + return false; +} + +//+------------------------------------------------------------------+ +bool GapGuard_IsKnownEquityOrIndex(const string symbol) +{ + if(symbol == "AAPL" || symbol == "APPL" || symbol == "NVDA" || symbol == "TSLA" + || symbol == "ADBE" || symbol == "MU" || symbol == "GER40" || symbol == "US500" + || symbol == "NAS100" || symbol == "SPX500" || symbol == "UK100") + return true; + + if(StringFind(symbol, "AAPL") == 0 || StringFind(symbol, "NVDA") == 0 + || StringFind(symbol, "TSLA") == 0 || StringFind(symbol, "ADBE") == 0 + || StringFind(symbol, ".NAS") > 0 || StringFind(symbol, ".NYS") > 0) + return true; + + return false; +} + +//+------------------------------------------------------------------+ +bool GapGuard_SymbolHasSessionGaps(const string symbol) +{ + MqlDateTime now; + TimeToStruct(TimeCurrent(), now); + + datetime from = 0, to = 0; + uint idx = 0; + int totalSec = 0; + + while(SymbolInfoSessionTrade(symbol, (ENUM_DAY_OF_WEEK)now.day_of_week, idx, from, to)) + { + MqlDateTime f, t; + TimeToStruct(from, f); + TimeToStruct(to, t); + const int fs = f.hour * 3600 + f.min * 60 + f.sec; + const int ts = t.hour * 3600 + t.min * 60 + t.sec; + if(ts > fs) + totalSec += (ts - fs); + idx++; + } + + if(idx == 0) + return GapGuard_IsKnownEquityOrIndex(symbol); + + return totalSec < 23 * 3600; +} + +//+------------------------------------------------------------------+ +bool GapGuard_IsNearSessionClose(const string symbol) +{ + if(!g_gapCfg.closeBeforeSessionEnd || g_gapCfg.minutesBeforeClose <= 0) + return false; + if(!GapGuard_SymbolHasSessionGaps(symbol)) + return false; + + MqlDateTime now; + TimeToStruct(TimeCurrent(), now); + const int nowSec = now.hour * 3600 + now.min * 60 + now.sec; + + datetime from = 0, to = 0; + uint idx = 0; + int lastEndSec = -1; + + while(SymbolInfoSessionTrade(symbol, (ENUM_DAY_OF_WEEK)now.day_of_week, idx, from, to)) + { + MqlDateTime tEnd; + TimeToStruct(to, tEnd); + const int endSec = tEnd.hour * 3600 + tEnd.min * 60 + tEnd.sec; + if(endSec > lastEndSec) + lastEndSec = endSec; + idx++; + } + + if(lastEndSec < 0) + { + if(GapGuard_IsKnownEquityOrIndex(symbol) && g_gapCfg.equityDailyFlatHour >= 0) + { + const int flatSec = g_gapCfg.equityDailyFlatHour * 3600; + const int threshold = flatSec - g_gapCfg.minutesBeforeClose * 60; + return (nowSec >= threshold && nowSec < flatSec); + } + return false; + } + + const int threshold = lastEndSec - g_gapCfg.minutesBeforeClose * 60; + return (nowSec >= threshold && nowSec < lastEndSec); +} + +//+------------------------------------------------------------------+ +bool GapGuard_IsWeekendRiskWindow() +{ + if(!g_gapCfg.closeBeforeWeekend) + return false; + + MqlDateTime now; + TimeToStruct(TimeCurrent(), now); + + if(now.day_of_week == 5 && now.hour >= g_gapCfg.fridayCloseHour) + return true; + if(now.day_of_week == 6 || now.day_of_week == 0) + return true; + + return false; +} + +//+------------------------------------------------------------------+ +bool United_IsGapRiskWindow(const string symbol) +{ + if(!g_gapCfg.enable) + return false; + + if(GapGuard_IsWeekendRiskWindow() && GapGuard_SymbolHasSessionGaps(symbol)) + return true; + + if(GapGuard_IsNearSessionClose(symbol)) + return true; + + return false; +} + +//+------------------------------------------------------------------+ +bool GapGuard_CloseEAPosition(CTrade &trade, const ulong ticket, const string reason) +{ + if(ticket == 0 || !PositionSelectByTicket(ticket)) + return false; + + const string sym = PositionGetString(POSITION_SYMBOL); + const ulong magic = (ulong)PositionGetInteger(POSITION_MAGIC); + + if(!GapGuard_IsEAMagic(magic)) + return false; + + if(trade.PositionClose(ticket)) + { + Print("GapGuard: closed ", sym, " ticket=", ticket, " reason=", reason); + return true; + } + + Print("GapGuard: failed to close ", sym, " ticket=", ticket, + " retcode=", trade.ResultRetcode(), " reason=", reason); + return false; +} + +//+------------------------------------------------------------------+ +void GapGuard_TrySessionFlat(CTrade &trade, const string symbol, const int symIdx) +{ + if(symIdx < 0) + return; + + if(!United_IsGapRiskWindow(symbol)) + return; + + const string reason = GapGuard_IsWeekendRiskWindow() ? "weekend_flat" : "session_end_flat"; + + for(int i = PositionsTotal() - 1; i >= 0; i--) + { + const ulong ticket = PositionGetTicket(i); + if(ticket == 0 || !PositionSelectByTicket(ticket)) + continue; + if(PositionGetString(POSITION_SYMBOL) != symbol) + continue; + if(!GapGuard_IsEAMagic((ulong)PositionGetInteger(POSITION_MAGIC))) + continue; + + GapGuard_CloseEAPosition(trade, ticket, reason); + } +} + +//+------------------------------------------------------------------+ +bool GapGuard_PositionGappedThroughSL(const string symbol, const ulong ticket) +{ + if(!g_gapCfg.closeOnBarGapThroughSL) + return false; + if(ticket == 0 || !PositionSelectByTicket(ticket)) + return false; + if(PositionGetString(POSITION_SYMBOL) != symbol) + return false; + + const double sl = PositionGetDouble(POSITION_SL); + if(sl <= 0.0) + return false; + + const double point = SymbolInfoDouble(symbol, SYMBOL_POINT); + if(point <= 0.0) + return false; + + const double barOpen = iOpen(symbol, PERIOD_CURRENT, 0); + const double prevClose = iClose(symbol, PERIOD_CURRENT, 1); + if(barOpen <= 0.0 || prevClose <= 0.0) + return false; + + const ENUM_POSITION_TYPE ptype = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); + const double minGap = g_gapCfg.minGapPoints * point; + + if(ptype == POSITION_TYPE_BUY) + { + if(barOpen >= sl) + return false; + const double gap = prevClose - barOpen; + if(gap < minGap) + return false; + return (prevClose > sl || barOpen < sl); + } + + if(ptype == POSITION_TYPE_SELL) + { + if(barOpen <= sl) + return false; + const double gap = barOpen - prevClose; + if(gap < minGap) + return false; + return (prevClose < sl || barOpen > sl); + } + + return false; +} + +//+------------------------------------------------------------------+ +void GapGuard_TryGapThroughSL(CTrade &trade, const string symbol, const int symIdx) +{ + if(!g_gapCfg.closeOnBarGapThroughSL || symIdx < 0) + return; + + const datetime barTime = iTime(symbol, PERIOD_CURRENT, 0); + if(barTime == 0) + return; + if(g_gapLastBarTime[symIdx] == barTime) + return; + + g_gapLastBarTime[symIdx] = barTime; + + for(int i = PositionsTotal() - 1; i >= 0; i--) + { + const ulong ticket = PositionGetTicket(i); + if(ticket == 0 || !PositionSelectByTicket(ticket)) + continue; + if(PositionGetString(POSITION_SYMBOL) != symbol) + continue; + if(!GapGuard_IsEAMagic((ulong)PositionGetInteger(POSITION_MAGIC))) + continue; + + if(GapGuard_PositionGappedThroughSL(symbol, ticket)) + GapGuard_CloseEAPosition(trade, ticket, "gap_through_sl"); + } +} + +//+------------------------------------------------------------------+ +void United_ProcessGapGuard(CTrade &trade) +{ + if(!g_gapCfg.enable) + return; + + for(int s = 0; s < ArraySize(g_gapSymbols); s++) + { + const string symbol = g_gapSymbols[s]; + if(!SymbolSelect(symbol, true)) + continue; + + GapGuard_TryGapThroughSL(trade, symbol, s); + GapGuard_TrySessionFlat(trade, symbol, s); + } +} + +#endif // GAP_GUARD_MQH diff --git a/frontline/cluster-latest/MagicNumberHelpers.mqh b/frontline/cluster-latest/MagicNumberHelpers.mqh index 0423cc4..79d8c4c 100644 --- a/frontline/cluster-latest/MagicNumberHelpers.mqh +++ b/frontline/cluster-latest/MagicNumberHelpers.mqh @@ -112,6 +112,50 @@ double GetPositionProfitByMagic(string symbol, ulong magic_number) return PositionGetDouble(POSITION_PROFIT); } +//+------------------------------------------------------------------+ +//| Net P/L including swap (and commission when exposed by broker) | +//+------------------------------------------------------------------+ +double GetPositionNetProfitByMagic(string symbol, ulong magic_number) +{ + if(!PositionSelectByMagic(symbol, magic_number)) + return 0.0; + + double net = PositionGetDouble(POSITION_PROFIT) + PositionGetDouble(POSITION_SWAP); + return net; +} + +//+------------------------------------------------------------------+ +//| True when an open position for this magic is not in profit | +//+------------------------------------------------------------------+ +bool IsUnprofitablePositionByMagic(string symbol, ulong magic_number) +{ + if(!PositionExistsByMagic(symbol, magic_number)) + return false; + + return (GetPositionNetProfitByMagic(symbol, magic_number) <= 0.0); +} + +//+------------------------------------------------------------------+ +//| Close unprofitable position to make room for a new entry signal | +//| Returns true when no position remains (flat or closed successfully)| +//+------------------------------------------------------------------+ +bool United_PrepareEntrySlot(CTrade &trade_obj, string symbol, ulong magic_number, bool closeUnprofitableOnSignal) +{ + if(!PositionExistsByMagic(symbol, magic_number)) + return true; + + if(!closeUnprofitableOnSignal) + return false; + + if(!IsUnprofitablePositionByMagic(symbol, magic_number)) + return false; + + if(!ClosePositionByMagic(trade_obj, symbol, magic_number)) + return false; + + return !PositionExistsByMagic(symbol, magic_number); +} + //+------------------------------------------------------------------+ //| Get position type by symbol and magic number | //+------------------------------------------------------------------+ diff --git a/frontline/cluster-latest/RSIScalpingADBE-trailing/main.mq5 b/frontline/cluster-latest/RSIScalpingADBE-trailing/main.mq5 new file mode 100644 index 0000000..6b66b8b --- /dev/null +++ b/frontline/cluster-latest/RSIScalpingADBE-trailing/main.mq5 @@ -0,0 +1,408 @@ +//+------------------------------------------------------------------+ +//| RSIScalping.mq5 | +//| Copyright 2025, MetaQuotes Ltd. | +//| https://www.mql5.com | +//+------------------------------------------------------------------+ +#property copyright "Copyright 2025, MetaQuotes Ltd." +#property link "https://www.mql5.com" +#property version "1.01" + +#include +#include "../_united/MagicNumberHelpers.mqh" + +//--- Input parameters +input ENUM_TIMEFRAMES TimeFrame = (ENUM_TIMEFRAMES)6; // Timeframe for Analysis +input int RSI_Period = 15; // RSI Period +input ENUM_APPLIED_PRICE RSI_Applied_Price = PRICE_OPEN; // RSI Applied Price +input double RSI_Overbought = 16; // RSI Overbought Level +input double RSI_Oversold = 42; // RSI Oversold Level +input double RSI_Target_Buy = 67; // RSI Target for Buy Exit +input double RSI_Target_Sell = 62; // RSI Target for Sell Exit +input int BarsToWait = 8; // Bars to wait when RSI goes against position +input double LotSize = 5; // Lot Size +input int MagicNumber = 12345; // Magic Number +input int Slippage = 3; // Slippage in points + +input group "=== Trailing stop ===" +input bool UseTrailingStop = true; // move SL behind bid/ask while in profit +input double TrailingStopDistancePoints = 425.0; // SL distance from bid/ask (points) +input double TrailingActivationPoints = 18.5; // min profit before trailing (0 = same as distance) + +//--- Global variables +CTrade trade; +int rsi_handle; +double rsi_buffer[]; +double rsi_prev, rsi_current, rsi_two_bars_ago; +bool position_open = false; +int position_ticket = 0; +ENUM_POSITION_TYPE current_position_type = POSITION_TYPE_BUY; +datetime last_bar_time = 0; +bool rsi_against_position = false; +int bars_against_count = 0; + +//+------------------------------------------------------------------+ +//| Expert initialization function | +//+------------------------------------------------------------------+ +int OnInit() +{ + // Initialize RSI indicator + rsi_handle = iRSI(_Symbol, TimeFrame, RSI_Period, RSI_Applied_Price); + if(rsi_handle == INVALID_HANDLE) + { + return(INIT_FAILED); + } + + // Initialize trade object + trade.SetExpertMagicNumber(MagicNumber); + trade.SetDeviationInPoints(Slippage); + trade.SetTypeFilling(ORDER_FILLING_FOK); + + // Allocate arrays + ArraySetAsSeries(rsi_buffer, true); + + return(INIT_SUCCEEDED); +} + +//+------------------------------------------------------------------+ +//| Expert deinitialization function | +//+------------------------------------------------------------------+ +void OnDeinit(const int reason) +{ + if(rsi_handle != INVALID_HANDLE) + IndicatorRelease(rsi_handle); +} + +//+------------------------------------------------------------------+ +//| Expert tick function | +//+------------------------------------------------------------------+ +void OnTick() +{ + if(Bars(_Symbol, TimeFrame) < RSI_Period + 2) + return; + + const datetime current_bar_time = iTime(_Symbol, TimeFrame, 0); + const bool new_bar = (current_bar_time != last_bar_time); + const bool in_pos = position_open || PositionExistsByMagic(_Symbol, (ulong)MagicNumber); + + if(!in_pos && !new_bar) + return; + + if(!UpdateRSI()) + return; + + if(in_pos && UseTrailingStop) + ApplyTrailingStop(); + + if(!new_bar) + return; + + last_bar_time = current_bar_time; + + ResyncPositionFromMarket(); + CheckExistingPosition(); + + if(!position_open && !PositionExistsByMagic(_Symbol, (ulong)MagicNumber)) + CheckEntrySignals(); +} + +//+------------------------------------------------------------------+ +//| Update RSI values | +//+------------------------------------------------------------------+ +bool UpdateRSI() +{ + if(CopyBuffer(rsi_handle, 0, 0, 3, rsi_buffer) < 3) + { + return false; + } + + rsi_current = rsi_buffer[0]; // Current bar + rsi_prev = rsi_buffer[1]; // Previous bar + rsi_two_bars_ago = rsi_buffer[2]; // Two bars ago + + return true; +} + +//+------------------------------------------------------------------+ +//| Trail SL behind favorable price (every tick when enabled) | +//+------------------------------------------------------------------+ +void ApplyTrailingStop() +{ + if(TrailingStopDistancePoints <= 0.0) + return; + if(!PositionSelectByMagic(_Symbol, (ulong)MagicNumber)) + return; + + const double point = SymbolInfoDouble(_Symbol, SYMBOL_POINT); + if(point <= 0.0) + return; + + const int digits = (int)SymbolInfoInteger(_Symbol, SYMBOL_DIGITS); + const double trail_dist = TrailingStopDistancePoints * point; + const double activation_pts = (TrailingActivationPoints > 0.0) + ? TrailingActivationPoints + : TrailingStopDistancePoints; + const double activation = activation_pts * point; + const long stops_level = SymbolInfoInteger(_Symbol, SYMBOL_TRADE_STOPS_LEVEL); + const double min_dist = (double)stops_level * point; + + const ENUM_POSITION_TYPE ptype = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); + const double entry = PositionGetDouble(POSITION_PRICE_OPEN); + const double cur_sl = PositionGetDouble(POSITION_SL); + const double cur_tp = PositionGetDouble(POSITION_TP); + + if(ptype == POSITION_TYPE_BUY) + { + const double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + if(bid - entry <= activation) + return; + + double new_sl = NormalizeDouble(bid - trail_dist, digits); + if(min_dist > 0.0 && bid - new_sl < min_dist) + new_sl = NormalizeDouble(bid - min_dist, digits); + + if(new_sl >= bid || new_sl <= 0.0) + return; + if(cur_sl > 0.0 && new_sl <= cur_sl) + return; + + ModifyPositionByMagic(trade, _Symbol, (ulong)MagicNumber, new_sl, cur_tp); + } + else if(ptype == POSITION_TYPE_SELL) + { + const double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + if(entry - ask <= activation) + return; + + double new_sl = NormalizeDouble(ask + trail_dist, digits); + if(min_dist > 0.0 && new_sl - ask < min_dist) + new_sl = NormalizeDouble(ask + min_dist, digits); + + if(new_sl <= ask || new_sl <= 0.0) + return; + if(cur_sl > 0.0 && new_sl >= cur_sl) + return; + + ModifyPositionByMagic(trade, _Symbol, (ulong)MagicNumber, new_sl, cur_tp); + } +} + +//+------------------------------------------------------------------+ +//| Sync ticket/state if a position exists after restart | +//+------------------------------------------------------------------+ +void ResyncPositionFromMarket() +{ + if(position_open) + return; + ulong t = GetPositionTicketByMagic(_Symbol, (ulong)MagicNumber); + if(t == 0 || !PositionSelectByTicket(t)) + return; + position_ticket = (int)t; + position_open = true; + current_position_type = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); +} + +//+------------------------------------------------------------------+ +//| Check existing position for exit conditions | +//+------------------------------------------------------------------+ +void CheckExistingPosition() +{ + if(!position_open) + { + return; + } + + // Check if position still exists with correct magic number AND symbol for THIS EA + if(!PositionSelectByTicketSymbolAndMagic(position_ticket, _Symbol, (ulong)MagicNumber)) + { + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + return; + } + + // Exit conditions based on RSI target + if(current_position_type == POSITION_TYPE_BUY) + { + // Check if RSI is against the position (below oversold) + if(rsi_current < RSI_Oversold) + { + if(!rsi_against_position) + { + rsi_against_position = true; + bars_against_count = 1; + } + else + { + bars_against_count++; + } + + // Close position if RSI has been against for Y bars + if(bars_against_count >= BarsToWait) + { + ClosePosition(); + return; + } + } + else + { + // RSI is no longer against the position, reset counter + if(rsi_against_position) + { + rsi_against_position = false; + bars_against_count = 0; + } + + // Exit long position when RSI reaches buy target + if(rsi_current >= RSI_Target_Buy) + { + ClosePosition(); + } + } + } + else if(current_position_type == POSITION_TYPE_SELL) + { + // Check if RSI is against the position (above overbought) + if(rsi_current > RSI_Overbought) + { + if(!rsi_against_position) + { + rsi_against_position = true; + bars_against_count = 1; + } + else + { + bars_against_count++; + } + + // Close position if RSI has been against for Y bars + if(bars_against_count >= BarsToWait) + { + ClosePosition(); + return; + } + } + else + { + // RSI is no longer against the position, reset counter + if(rsi_against_position) + { + rsi_against_position = false; + bars_against_count = 0; + } + + // Exit short position when RSI reaches sell target + if(rsi_current <= RSI_Target_Sell) + { + ClosePosition(); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Check for entry signals | +//+------------------------------------------------------------------+ +void CheckEntrySignals() +{ + // Buy signal: RSI crosses from oversold to above oversold (checking the actual crossover) + if(rsi_two_bars_ago <= RSI_Oversold && rsi_prev > RSI_Oversold) + { + OpenBuyPosition(); + } + + // Sell signal: RSI crosses from overbought to below overbought (checking the actual crossover) + if(rsi_two_bars_ago >= RSI_Overbought && rsi_prev < RSI_Overbought) + { + OpenSellPosition(); + } +} + +//+------------------------------------------------------------------+ +//| Open buy position | +//+------------------------------------------------------------------+ +void OpenBuyPosition() +{ + // Verify no position exists for THIS EA (magic number) on THIS symbol before opening + if(PositionExistsByMagic(_Symbol, (ulong)MagicNumber)) + { + return; // Position already exists for this EA + } + + double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + + if(trade.Buy(LotSize, _Symbol, ask, 0, 0, "RSI Scalping Buy")) + { + ulong new_ticket = trade.ResultOrder(); + if(new_ticket > 0) + { + // Verify position was opened for THIS EA (magic number) on THIS symbol + if(PositionSelectByTicketSymbolAndMagic(new_ticket, _Symbol, (ulong)MagicNumber)) + { + position_ticket = new_ticket; + position_open = true; + current_position_type = POSITION_TYPE_BUY; + } + else + { + Print("Error: Position opened but doesn't match EA magic number or symbol"); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Open sell position | +//+------------------------------------------------------------------+ +void OpenSellPosition() +{ + // Verify no position exists for THIS EA (magic number) on THIS symbol before opening + if(PositionExistsByMagic(_Symbol, (ulong)MagicNumber)) + { + return; // Position already exists for this EA + } + + double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + + if(trade.Sell(LotSize, _Symbol, bid, 0, 0, "RSI Scalping Sell")) + { + ulong new_ticket = trade.ResultOrder(); + if(new_ticket > 0) + { + // Verify position was opened for THIS EA (magic number) on THIS symbol + if(PositionSelectByTicketSymbolAndMagic(new_ticket, _Symbol, (ulong)MagicNumber)) + { + position_ticket = new_ticket; + position_open = true; + current_position_type = POSITION_TYPE_SELL; + } + else + { + Print("Error: Position opened but doesn't match EA magic number or symbol"); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Close current position | +//+------------------------------------------------------------------+ +void ClosePosition() +{ + // Close position using helper that verifies symbol AND magic number for THIS EA + if(ClosePositionByMagic(trade, _Symbol, (ulong)MagicNumber)) + { + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + } + else + { + // Position doesn't exist or wrong magic number - reset tracking + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + } +} diff --git a/frontline/cluster-latest/RSIScalpingMU/report.html b/frontline/cluster-latest/RSIScalpingMU/report.html deleted file mode 100644 index 950f95baad48155ec775a3c377697b84a5632aca..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 2231020 zcmeFa-LI`zn%%Yf1|%dDq+Fvo4pBN%%JJTNee6|Tw&;`2Nr39=sy@{nwbG>8RqeK| zcDqY1S0$#Q0TIDPs}))Zkqd4>$-fZpP`H682t_C$A@LzDa{~wzk-$Y@j`f_k*4#e( z9nY9^AFpT5^^}h6avdL^^Um>m$NU)cne+Ys{>j%ie{}P6n_t-cna#I1zq0w}=Fe{4 z*nGJ8Z1Y>2kIO%ObMs4^XPd8Y{-yHo-`Kpl`O4-`mmhy&b65U9{^{q+fAw?a-~9RV zzdv7o-5Z@!o15}a-`;$>d2jQ{<_DXP%J28l=C{i~zgK=&{C9tL^NsSm;djKJ z_1Wh8o3EaJ{x5IvJXM&mWh6_uJ)ne!u*xUoZdt 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- Price above box high"); // Buy signal - if(!PositionExistsByMagic(dbData.symbol, (ulong)DB_MagicNumber)) // No existing positions with our magic number + if(United_PrepareEntrySlot(dbData.trade, dbData.symbol, (ulong)DB_MagicNumber, DB_CloseUnprofitableOnNewSignal)) { double sl = currentPrice - DB_StopLoss * dbData.point; double tp = currentPrice + DB_TakeProfit * dbData.point; @@ -307,7 +307,7 @@ void ProcessDarvasBox(string symbol) Print("DarvasBox: Breakdown Signal Detected - Price below box low"); // Sell signal - if(!PositionExistsByMagic(dbData.symbol, (ulong)DB_MagicNumber)) // No existing positions with our magic number + if(United_PrepareEntrySlot(dbData.trade, dbData.symbol, (ulong)DB_MagicNumber, DB_CloseUnprofitableOnNewSignal)) { double sl = currentPrice + DB_StopLoss * dbData.point; double tp = currentPrice - DB_TakeProfit * dbData.point; diff --git a/frontline/cluster-latest/Strategies/EMASlopeDistanceStrategy.mqh b/frontline/cluster-latest/Strategies/EMASlopeDistanceStrategy.mqh index 2ddbeeb..9f59989 100644 --- a/frontline/cluster-latest/Strategies/EMASlopeDistanceStrategy.mqh +++ b/frontline/cluster-latest/Strategies/EMASlopeDistanceStrategy.mqh @@ -27,7 +27,7 @@ bool InitEMASlopeDistance(string symbol) esData.trade.SetExpertMagicNumber(ES_MagicNumber); esData.trade.SetDeviationInPoints(10); - esData.trade.SetTypeFilling(ORDER_FILLING_IOC); + esData.trade.SetTypeFillingBySymbol(symbol); esData.ema_handle = iMA(symbol, ES_Timeframe, ES_EMA_Periode, 0, MODE_EMA, PRICE_CLOSE); @@ -60,7 +60,7 @@ bool ES_IsWeeklyADXTrendFavorable(const ENUM_ORDER_TYPE order_type) int adx_handle = iADX(esData.symbol, PERIOD_W1, ES_WeeklyADXPeriod); if(adx_handle == INVALID_HANDLE) - return false; + return true; double adx_buf[], plus_di_buf[], minus_di_buf[]; ArraySetAsSeries(adx_buf, true); @@ -73,7 +73,7 @@ bool ES_IsWeeklyADXTrendFavorable(const ENUM_ORDER_TYPE order_type) IndicatorRelease(adx_handle); if(!ok_adx || !ok_plus || !ok_minus) - return false; + return true; double adx_value = adx_buf[0]; double plus_di = plus_di_buf[0]; @@ -229,7 +229,7 @@ void PrüfeTrigger() return; } - if(bullish_signal && !PositionExistsByMagic(esData.symbol, (ulong)ES_MagicNumber)) + if(bullish_signal && United_PrepareEntrySlot(esData.trade, esData.symbol, (ulong)ES_MagicNumber, ES_CloseUnprofitableOnNewSignal)) { if(!ES_IsWeeklyADXTrendFavorable(ORDER_TYPE_BUY)) { @@ -242,7 +242,7 @@ void PrüfeTrigger() esData.trades_in_current_crossover++; } } - else if(bearish_signal && !PositionExistsByMagic(esData.symbol, (ulong)ES_MagicNumber)) + else if(bearish_signal && United_PrepareEntrySlot(esData.trade, esData.symbol, (ulong)ES_MagicNumber, ES_CloseUnprofitableOnNewSignal)) { if(!ES_IsWeeklyADXTrendFavorable(ORDER_TYPE_SELL)) { @@ -276,6 +276,8 @@ bool PlatziereTrade(ENUM_ORDER_TYPE order_type) return false; } + esData.trade.SetTypeFillingBySymbol(esData.symbol); + bool success = false; if(order_type == ORDER_TYPE_BUY) diff --git a/frontline/cluster-latest/Strategies/RSIConsolidationStrategy.mqh b/frontline/cluster-latest/Strategies/RSIConsolidationStrategy.mqh index c996950..78668b6 100644 --- a/frontline/cluster-latest/Strategies/RSIConsolidationStrategy.mqh +++ b/frontline/cluster-latest/Strategies/RSIConsolidationStrategy.mqh @@ -35,6 +35,7 @@ struct RSIConsolidationData ulong magic; int slippage; int maxSpreadPoints; + bool closeUnprofitableOnNewSignal; int h_rsi; int h_adx; int h_atr; @@ -330,7 +331,8 @@ void ProcessRSIConsolidation(RSIConsolidationData &d, const double lots) RCO_ManageOpenPosition(d, rsi); if(isNew) d.lastBar = barTime; - return; + if(!d.closeUnprofitableOnNewSignal) + return; } if(d.entryOnNewBarOnly && !isNew) @@ -360,7 +362,7 @@ void ProcessRSIConsolidation(RSIConsolidationData &d, const double lots) if(RCO_EntryBuyCross(d, rsi2, rsiPrev)) { - if(!United_MayOpenNewEntry(d.symbol, d.magic, true)) + if(!United_MayOpenNewEntry(d.symbol, d.magic, true, d.trade, d.closeUnprofitableOnNewSignal)) return; double ask = SymbolInfoDouble(d.symbol, SYMBOL_ASK); double sl = ask - slDist; @@ -372,7 +374,7 @@ void ProcessRSIConsolidation(RSIConsolidationData &d, const double lots) } else if(RCO_EntrySellCross(d, rsi2, rsiPrev)) { - if(!United_MayOpenNewEntry(d.symbol, d.magic, false)) + if(!United_MayOpenNewEntry(d.symbol, d.magic, false, d.trade, d.closeUnprofitableOnNewSignal)) return; double bid = SymbolInfoDouble(d.symbol, SYMBOL_BID); double sl = bid + slDist; diff --git a/frontline/cluster-latest/Strategies/RSICrossOverReversalStrategy.mqh b/frontline/cluster-latest/Strategies/RSICrossOverReversalStrategy.mqh index ddc5f5a..e9e43d5 100644 --- a/frontline/cluster-latest/Strategies/RSICrossOverReversalStrategy.mqh +++ b/frontline/cluster-latest/Strategies/RSICrossOverReversalStrategy.mqh @@ -45,6 +45,30 @@ int TimeHour(datetime when = 0) return dt.hour; } +double RC_NormalizeLot(const string sym, const double lots) +{ + const double mn = SymbolInfoDouble(sym, SYMBOL_VOLUME_MIN); + const double mx = SymbolInfoDouble(sym, SYMBOL_VOLUME_MAX); + double step = SymbolInfoDouble(sym, SYMBOL_VOLUME_STEP); + if(step <= 0.0) + step = 0.01; + double v = MathMax(lots, mn); + v = MathMin(v, mx); + return NormalizeDouble(MathFloor(v / step + 0.5) * step, 2); +} + +// Threshold <= 0 disables that leg (optimizer must not treat 0 as "always strong"). +bool RC_IsTrendStrong(const double emaSlope, const double priceToEmaDistance) +{ + if(!RC_UseTrendStrengthFilter) + return false; + const bool slopeStrong = (RC_emaSlopeThreshold > 0.0) + && (MathAbs(emaSlope) > RC_emaSlopeThreshold); + const bool distanceStrong = (RC_emaDistanceThreshold > 0.0) + && (MathAbs(priceToEmaDistance) > RC_emaDistanceThreshold); + return slopeStrong || distanceStrong; +} + bool InitRSICrossOverReversal(string symbol) { WeekDays_Init(); @@ -80,6 +104,7 @@ bool InitRSICrossOverReversal(string symbol) rcData.trade.SetExpertMagicNumber(RC_MagicNumber); rcData.trade.SetDeviationInPoints(RC_slippage); + rcData.trade.SetTypeFillingBySymbol(symbol); rcData.isInitialized = true; Print("RSICrossOverReversal: Successfully initialized for symbol '", symbol, "'"); return true; @@ -148,9 +173,12 @@ void ProcessRSICrossOverReversal(string symbol) return; rcData.symbol = symbol; // Update symbol in case it changed - if(rcData.bartime == iTime(rcData.symbol, RC_BarTimeFrame, 0)) + const datetime barTime = iTime(rcData.symbol, RC_BarTimeFrame, 0); + if(barTime == 0) return; - rcData.bartime = iTime(rcData.symbol, RC_BarTimeFrame, 0); + if(rcData.bartime == barTime) + return; + rcData.bartime = barTime; double rsi[]; if(CopyBuffer(rcData.rsiHandle, 0, 0, 2, rsi) <= 0) @@ -191,13 +219,7 @@ void ProcessRSICrossOverReversal(string symbol) double emaSlope = (currentEMA - previousEMA) * 100; const double closeCurr = iClose(rcData.symbol, RC_TimeFrame1, 0); - // Raw (close-EMA)*10 blows past threshold on XAUUSD (~2600) almost every bar — blocks all entries. - // Compare distance in pips so RC_emaDistanceThreshold matches intent across symbols. - const double point = SymbolInfoDouble(rcData.symbol, SYMBOL_POINT); - const int symDig = (int)SymbolInfoInteger(rcData.symbol, SYMBOL_DIGITS); - const double pipMult = (symDig == 3 || symDig == 5) ? 10.0 : 1.0; - const double pipSize = (point > 0.0 ? point * pipMult : point); - const double priceToEmaPips = (pipSize > 0.0 ? MathAbs(closeCurr - currentEMA) / pipSize : 0.0); + double priceToEmaDistance = (closeCurr - currentEMA) * 10; bool isBuyPosition = false; bool isSellPosition = false; @@ -216,8 +238,7 @@ void ProcessRSICrossOverReversal(string symbol) ApplyTrailingStop(); bool cooldownPassed = (currentTime - rcData.lastTradeTime) >= RC_cooldownSeconds; - const bool isTrendStrong = RC_UseTrendStrengthFilter && - (MathAbs(emaSlope) > RC_emaSlopeThreshold || priceToEmaPips > RC_emaDistanceThreshold); + const bool isTrendStrong = RC_IsTrendStrong(emaSlope, priceToEmaDistance); if(isBuyPosition && currentRSI > RC_exitBuyRSI) { @@ -237,28 +258,36 @@ void ProcessRSICrossOverReversal(string symbol) rcData.lastTradeTime = currentTime; } - if(!isTrendStrong && - currentRSI < RC_overboughtLevel - RC_entryRSISellSpread && rcData.previousRSIDef >= RC_overboughtLevel && - !isSellPosition && !hasPosition && cooldownPassed) + hasPosition = PositionExistsByMagic(rcData.symbol, RC_MagicNumber); + isBuyPosition = false; + isSellPosition = false; + if(hasPosition && PositionSelectByMagic(rcData.symbol, RC_MagicNumber)) { - const double vol = United_NormalizeVolume(rcData.symbol, g_RC_LotSize); - if(vol > 0.0) - { - rcData.trade.SetExpertMagicNumber(RC_MagicNumber); - if(rcData.trade.Sell(vol, rcData.symbol, 0.0, 0.0, 0.0, "Sell Order")) - rcData.lastTradeTime = currentTime; - } + const ENUM_POSITION_TYPE positionType = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); + if(positionType == POSITION_TYPE_BUY) + isBuyPosition = true; + else if(positionType == POSITION_TYPE_SELL) + isSellPosition = true; } - if(!isTrendStrong && - currentRSI > RC_oversoldLevel + RC_entryRSIBuySpread && rcData.previousRSIDef <= RC_oversoldLevel && - !isBuyPosition && !hasPosition && cooldownPassed) + const double lots = RC_NormalizeLot(rcData.symbol, g_RC_LotSize); + if(lots > 0.0 && !isTrendStrong && cooldownPassed + && United_PrepareEntrySlot(rcData.trade, rcData.symbol, RC_MagicNumber, RC_CloseUnprofitableOnNewSignal)) { - const double vol = United_NormalizeVolume(rcData.symbol, g_RC_LotSize); - if(vol > 0.0) + if(currentRSI < RC_overboughtLevel - RC_entryRSISellSpread + && rcData.previousRSIDef >= RC_overboughtLevel + && !isSellPosition) { rcData.trade.SetExpertMagicNumber(RC_MagicNumber); - if(rcData.trade.Buy(vol, rcData.symbol, 0.0, 0.0, 0.0, "Buy Order")) + if(rcData.trade.Sell(lots, rcData.symbol, 0.0, 0.0, 0.0, "Sell Order")) + rcData.lastTradeTime = currentTime; + } + else if(currentRSI > RC_oversoldLevel + RC_entryRSIBuySpread + && rcData.previousRSIDef <= RC_oversoldLevel + && !isBuyPosition) + { + rcData.trade.SetExpertMagicNumber(RC_MagicNumber); + if(rcData.trade.Buy(lots, rcData.symbol, 0.0, 0.0, 0.0, "Buy Order")) rcData.lastTradeTime = currentTime; } } diff --git a/frontline/cluster-latest/Strategies/RSIMidPointHijackStrategy.mqh b/frontline/cluster-latest/Strategies/RSIMidPointHijackStrategy.mqh index 120996b..7776a2d 100644 --- a/frontline/cluster-latest/Strategies/RSIMidPointHijackStrategy.mqh +++ b/frontline/cluster-latest/Strategies/RSIMidPointHijackStrategy.mqh @@ -37,6 +37,11 @@ bool HasPosition(string symbol, int magic) return PositionExistsByMagic(symbol, magic); } +bool RM_MayEnter(string symbol, int magic) +{ + return United_PrepareEntrySlot(rmData.trade, symbol, (ulong)magic, RM_CloseUnprofitableOnNewSignal); +} + bool HasProfitablePosition(int excludeMagic) { bool hasProfitable = false; @@ -113,7 +118,7 @@ void CheckRSIFollowStrategy(string symbol) if(rmData.rsiOverbought && rmData.lastBarRSI < RM_InpRSIExitLevel) { - if(!HasPosition(symbol, RM_InpMagicNumberRSIFollow)) + if(RM_MayEnter(symbol, RM_InpMagicNumberRSIFollow)) { rmData.trade.SetExpertMagicNumber(RM_InpMagicNumberRSIFollow); const double vol = RM_NormalizedLot(symbol); @@ -124,7 +129,7 @@ void CheckRSIFollowStrategy(string symbol) } else if(rmData.rsiOversold && rmData.lastBarRSI > RM_InpRSIExitLevel) { - if(!HasPosition(symbol, RM_InpMagicNumberRSIFollow)) + if(RM_MayEnter(symbol, RM_InpMagicNumberRSIFollow)) { rmData.trade.SetExpertMagicNumber(RM_InpMagicNumberRSIFollow); const double vol = RM_NormalizedLot(symbol); @@ -160,7 +165,7 @@ void CheckRSIReverseStrategy(string symbol) if(rmData.rsiReverseOverbought && rmData.lastBarRSIReverse < RM_InpRSIReverseCrossLevel) { - if(!HasPosition(symbol, RM_InpMagicNumberRSIReverse)) + if(RM_MayEnter(symbol, RM_InpMagicNumberRSIReverse)) { rmData.trade.SetExpertMagicNumber(RM_InpMagicNumberRSIReverse); const double vol = RM_NormalizedLot(symbol); @@ -171,7 +176,7 @@ void CheckRSIReverseStrategy(string symbol) } else if(rmData.rsiReverseOversold && rmData.lastBarRSIReverse > RM_InpRSIReverseCrossLevel) { - if(!HasPosition(symbol, RM_InpMagicNumberRSIReverse)) + if(RM_MayEnter(symbol, RM_InpMagicNumberRSIReverse)) { rmData.trade.SetExpertMagicNumber(RM_InpMagicNumberRSIReverse); const double vol = RM_NormalizedLot(symbol); @@ -233,7 +238,7 @@ void CheckEMACrossStrategy(string symbol) } } - if(distanceConditionMet && !HasPosition(symbol, RM_InpMagicNumberEMACross)) + if(distanceConditionMet && RM_MayEnter(symbol, RM_InpMagicNumberEMACross)) { rmData.trade.SetExpertMagicNumber(RM_InpMagicNumberEMACross); const double vol = RM_NormalizedLot(symbol); @@ -264,7 +269,7 @@ void CheckEMACrossStrategy(string symbol) } } - if(distanceConditionMet && !HasPosition(symbol, RM_InpMagicNumberEMACross)) + if(distanceConditionMet && RM_MayEnter(symbol, RM_InpMagicNumberEMACross)) { rmData.trade.SetExpertMagicNumber(RM_InpMagicNumberEMACross); const double vol = RM_NormalizedLot(symbol); @@ -279,7 +284,7 @@ void CheckEMACrossStrategy(string symbol) { if(rmData.lastBarEMAPrev < rmData.lastBarClosePrev && rmData.lastBarEMA > rmData.lastBarClose) { - if(!HasPosition(symbol, RM_InpMagicNumberEMACross)) + if(RM_MayEnter(symbol, RM_InpMagicNumberEMACross)) { rmData.trade.SetExpertMagicNumber(RM_InpMagicNumberEMACross); const double vol = RM_NormalizedLot(symbol); @@ -289,7 +294,7 @@ void CheckEMACrossStrategy(string symbol) } else if(rmData.lastBarEMAPrev > rmData.lastBarClosePrev && rmData.lastBarEMA < rmData.lastBarClose) { - if(!HasPosition(symbol, RM_InpMagicNumberEMACross)) + if(RM_MayEnter(symbol, RM_InpMagicNumberEMACross)) { rmData.trade.SetExpertMagicNumber(RM_InpMagicNumberEMACross); const double vol = RM_NormalizedLot(symbol); diff --git a/frontline/cluster-latest/Strategies/RSIReversalAsianStrategy.mqh b/frontline/cluster-latest/Strategies/RSIReversalAsianStrategy.mqh index e204fb0..2f0ac7e 100644 --- a/frontline/cluster-latest/Strategies/RSIReversalAsianStrategy.mqh +++ b/frontline/cluster-latest/Strategies/RSIReversalAsianStrategy.mqh @@ -42,6 +42,7 @@ struct RSIReversalAsianData { int MagicNumber; int Slippage; double point; + bool closeUnprofitableOnNewSignal; }; // Session times (UTC) @@ -425,12 +426,14 @@ void ProcessRSIReversalAsian(RSIReversalAsianData& data, double lotSize) } } - // If no position is open, look for entry signals based on RSI crossover - if(!hasOpenPosition) + // If no position is open (or replacement enabled), look for entry signals + if(!hasOpenPosition || data.closeUnprofitableOnNewSignal) { // Place buy order if RSI crosses below oversold level (oversold crossover) if(data.rsiCrossedOversold) { + if(!United_PrepareEntrySlot(data.trade, data.symbol, (ulong)data.MagicNumber, data.closeUnprofitableOnNewSignal)) + return; double sl = data.UseStopLoss ? currentBid - data.StopLossPips * data.point : 0; double tp = data.UseTakeProfit ? currentBid + data.TakeProfitPips * data.point : 0; @@ -459,6 +462,8 @@ void ProcessRSIReversalAsian(RSIReversalAsianData& data, double lotSize) // Place sell order if RSI crosses above overbought level (overbought crossover) else if(data.rsiCrossedOverbought) { + if(!United_PrepareEntrySlot(data.trade, data.symbol, (ulong)data.MagicNumber, data.closeUnprofitableOnNewSignal)) + return; double sl = data.UseStopLoss ? currentAsk + data.StopLossPips * data.point : 0; double tp = data.UseTakeProfit ? currentAsk - data.TakeProfitPips * data.point : 0; diff --git a/frontline/cluster-latest/Strategies/RSIScalpingStrategy.mqh b/frontline/cluster-latest/Strategies/RSIScalpingStrategy.mqh index 630955d..41e2597 100644 --- a/frontline/cluster-latest/Strategies/RSIScalpingStrategy.mqh +++ b/frontline/cluster-latest/Strategies/RSIScalpingStrategy.mqh @@ -20,6 +20,7 @@ struct RSIScalpingData { datetime last_bar_time; bool rsi_against_position; int bars_against_count; + bool closeUnprofitableOnNewSignal; }; void ClosePosition(RSIScalpingData& data, int MagicNumber); @@ -247,7 +248,7 @@ bool InitRSIScalping(RSIScalpingData& data, string symbol, ENUM_TIMEFRAMES TimeF data.trade.SetExpertMagicNumber(MagicNumber); data.trade.SetDeviationInPoints(Slippage); - data.trade.SetTypeFilling(ORDER_FILLING_FOK); + data.trade.SetTypeFillingBySymbol(symbol); ArraySetAsSeries(data.rsi_buffer, true); data.position_open = false; @@ -433,8 +434,15 @@ double NormalizeLotSize(string symbol, double lotSize) void OpenBuyPosition(RSIScalpingData& data, int MagicNumber, double LotSize) { - if(PositionExistsByMagic(data.symbol, MagicNumber)) + if(!United_PrepareEntrySlot(data.trade, data.symbol, (ulong)MagicNumber, data.closeUnprofitableOnNewSignal)) return; + if(United_IsGapRiskWindow(data.symbol)) + return; + + data.position_open = false; + data.position_ticket = 0; + data.rsi_against_position = false; + data.bars_against_count = 0; // Normalize lot size according to symbol properties double normalizedLot = NormalizeLotSize(data.symbol, LotSize); @@ -458,8 +466,15 @@ void OpenBuyPosition(RSIScalpingData& data, int MagicNumber, double LotSize) void OpenSellPosition(RSIScalpingData& data, int MagicNumber, double LotSize) { - if(PositionExistsByMagic(data.symbol, MagicNumber)) + if(!United_PrepareEntrySlot(data.trade, data.symbol, (ulong)MagicNumber, data.closeUnprofitableOnNewSignal)) return; + if(United_IsGapRiskWindow(data.symbol)) + return; + + data.position_open = false; + data.position_ticket = 0; + data.rsi_against_position = false; + data.bars_against_count = 0; // Normalize lot size according to symbol properties double normalizedLot = NormalizeLotSize(data.symbol, LotSize); @@ -606,10 +621,8 @@ void ProcessRSIScalping(RSIScalpingData& data, string symbol, ENUM_TIMEFRAMES Ti CheckExistingPosition(data, TimeFrame, MagicNumber, RSI_Oversold, RSI_Overbought, RSI_Target_Buy, RSI_Target_Sell, BarsToWait); - if(!data.position_open && !PositionExistsByMagic(data.symbol, MagicNumber)) - { + if(!in_pos || data.closeUnprofitableOnNewSignal) CheckEntrySignals(data, TimeFrame, MagicNumber, RSI_Oversold, RSI_Overbought, LotSize); - } } //+------------------------------------------------------------------+ diff --git a/frontline/cluster-latest/Strategies/RSISecretSauceStrategy.mqh b/frontline/cluster-latest/Strategies/RSISecretSauceStrategy.mqh index a8c284e..481cf40 100644 --- a/frontline/cluster-latest/Strategies/RSISecretSauceStrategy.mqh +++ b/frontline/cluster-latest/Strategies/RSISecretSauceStrategy.mqh @@ -27,6 +27,7 @@ struct RSISecretSauceOrcData datetime lastRSIReentryTime; datetime lastTradeTime; datetime lastBarTime; + bool closeUnprofitableOnNewSignal; }; bool RSS_UpdateIndicators(RSISecretSauceOrcData &d) @@ -198,7 +199,12 @@ bool RSS_CanOpenNewPosition(RSISecretSauceOrcData &d) } } if(positionCount >= RSS_MaxPositions) - return false; + { + if(!d.closeUnprofitableOnNewSignal) + return false; + if(!IsUnprofitablePositionByMagic(d.actualSymbol, (ulong)RSS_MagicNumber)) + return false; + } if(d.lastTradeTime > 0) { @@ -211,6 +217,9 @@ bool RSS_CanOpenNewPosition(RSISecretSauceOrcData &d) void RSS_OpenPosition(RSISecretSauceOrcData &d, ENUM_POSITION_TYPE type, const double lotSize) { + if(!United_PrepareEntrySlot(d.trade, d.actualSymbol, (ulong)RSS_MagicNumber, d.closeUnprofitableOnNewSignal)) + return; + double price = (type == POSITION_TYPE_BUY) ? SymbolInfoDouble(d.actualSymbol, SYMBOL_ASK) : SymbolInfoDouble(d.actualSymbol, SYMBOL_BID); diff --git a/frontline/cluster-latest/Strategies/SimpleTrendlineStrategy.mqh b/frontline/cluster-latest/Strategies/SimpleTrendlineStrategy.mqh index 6341b88..1220d10 100644 --- a/frontline/cluster-latest/Strategies/SimpleTrendlineStrategy.mqh +++ b/frontline/cluster-latest/Strategies/SimpleTrendlineStrategy.mqh @@ -32,6 +32,7 @@ struct SimpleTrendlineData int maHandle; datetime lastSignalBarTime; string lineName; + bool closeUnprofitableOnNewSignal; }; double ST_NormalizeVolume(const string sym, double vol) @@ -193,7 +194,7 @@ void ST_TryExitOnBreak(SimpleTrendlineData &d, const SimpleTrendlineModel &m) void ST_TryPullbackEntry(SimpleTrendlineData &d, const SimpleTrendlineModel &m, const double lots) { - if(PositionExistsByMagic(d.symbol, d.magic)) + if(!United_PrepareEntrySlot(d.trade, d.symbol, d.magic, d.closeUnprofitableOnNewSignal)) return; MqlRates b1[], b2[]; diff --git a/frontline/cluster-latest/Strategies/SuperEMAStrategy.mqh b/frontline/cluster-latest/Strategies/SuperEMAStrategy.mqh index 52400fe..16359e8 100644 --- a/frontline/cluster-latest/Strategies/SuperEMAStrategy.mqh +++ b/frontline/cluster-latest/Strategies/SuperEMAStrategy.mqh @@ -43,6 +43,7 @@ struct SuperEMAData int maxHoldingBars; bool exitBelowMidEma; bool debugLogs; + bool closeUnprofitableOnNewSignal; }; void SuperEMA_Log(SuperEMAData &d, const string s) @@ -429,7 +430,7 @@ void ProcessSuperEMA(SuperEMAData &d, const double lots) SuperEMA_ManageExits(d); // Same order as standalone SuperEMAXAUUSD: skip entry logic when flat is not allowed. - if(d.oneTradeOnly && SuperEMA_PositionsByMagic(d) > 0) + if(d.oneTradeOnly && SuperEMA_PositionsByMagic(d) > 0 && !d.closeUnprofitableOnNewSignal) return; const int sh = d.emaTrendBars; @@ -477,6 +478,9 @@ void ProcessSuperEMA(SuperEMAData &d, const double lots) return; } + if(!United_PrepareEntrySlot(d.trade, d.symbol, d.magic, d.closeUnprofitableOnNewSignal)) + return; + MqlTick tick; if(!SymbolInfoTick(d.symbol, tick)) return; diff --git a/frontline/cluster-latest/Strategies/USDJPYBusterStrategy.mqh b/frontline/cluster-latest/Strategies/USDJPYBusterStrategy.mqh new file mode 100644 index 0000000..20de4a5 --- /dev/null +++ b/frontline/cluster-latest/Strategies/USDJPYBusterStrategy.mqh @@ -0,0 +1,560 @@ +//+------------------------------------------------------------------+ +//| USDJPYBusterStrategy.mqh | +//| Ian-style USDJPY Asian range breakout for United EA cluster | +//+------------------------------------------------------------------+ +#ifndef USDJPY_BUSTER_STRATEGY_MQH +#define USDJPY_BUSTER_STRATEGY_MQH + +enum ENUM_UB_RISK_MODE +{ + UB_RISK_FIXED_MONEY = 0, + UB_RISK_PERCENT = 1, + UB_RISK_FIXED_LOTS = 2 +}; + +struct USDJPYBusterData +{ + string symbol; + bool isInitialized; + CTrade trade; + + int rangeStartHour; + int rangeEndHour; + int closeHour; + ENUM_TIMEFRAMES rangeTF; + int minRangePoints; + double orderBufferPoints; + + bool firstTradeOnly; + bool allowLong; + bool allowShort; + bool useTakeProfit; + double takeProfitPoints; + + ENUM_UB_RISK_MODE riskMode; + double fixedRiskMoney; + double riskPercent; + double fixedLots; + + int magic; + int slippage; + int maxSpreadPoints; + bool drawRange; + bool debugLog; + bool closeUnprofitableOnNewSignal; + + int dayKey; + double rangeHigh; + double rangeLow; + bool rangeBuilt; + bool rangeSkipDay; + bool ordersPlaced; + bool dayClosed; + bool firstFillDone; + int entriesToday; + int lastPosCount; +}; + +//+------------------------------------------------------------------+ +int UB_DayKey(const datetime t) +{ + MqlDateTime dt; + TimeToStruct(t, dt); + return dt.year * 10000 + dt.mon * 100 + dt.day; +} + +datetime UB_DayStart(const datetime t) +{ + MqlDateTime dt; + TimeToStruct(t, dt); + dt.hour = 0; + dt.min = 0; + dt.sec = 0; + return StructToTime(dt); +} + +void UB_ResetDayState(USDJPYBusterData &d) +{ + d.rangeHigh = 0.0; + d.rangeLow = 0.0; + d.rangeBuilt = false; + d.rangeSkipDay = false; + d.ordersPlaced = false; + d.dayClosed = false; + d.firstFillDone = false; + d.entriesToday = 0; + d.lastPosCount = 0; +} + +void UB_Dbg(USDJPYBusterData &d, const string msg) +{ + if(d.debugLog) + Print("USDJPYBuster: ", msg); +} + +double UB_NormalizeLots(const string sym, double lots) +{ + const double mn = SymbolInfoDouble(sym, SYMBOL_VOLUME_MIN); + const double mx = SymbolInfoDouble(sym, SYMBOL_VOLUME_MAX); + const double st = SymbolInfoDouble(sym, SYMBOL_VOLUME_STEP); + if(st > 0.0) + lots = MathFloor(lots / st) * st; + if(lots < mn) + lots = mn; + if(lots > mx) + lots = mx; + return lots; +} + +double UB_NormalizePrice(const string sym, const double price) +{ + const int dg = (int)SymbolInfoInteger(sym, SYMBOL_DIGITS); + return NormalizeDouble(price, dg); +} + +double UB_MinStopDistance(const string sym) +{ + const double pt = SymbolInfoDouble(sym, SYMBOL_POINT); + const long lvl = SymbolInfoInteger(sym, SYMBOL_TRADE_STOPS_LEVEL); + return MathMax((double)lvl * pt, pt); +} + +bool UB_SpreadOk(const USDJPYBusterData &d) +{ + return ((double)SymbolInfoInteger(d.symbol, SYMBOL_SPREAD) <= (double)d.maxSpreadPoints); +} + +bool UB_MoneyPerLotAtSl(const string sym, const ENUM_ORDER_TYPE type, + const double openPrice, const double slPrice, double &lossPerLot) +{ + lossPerLot = 0.0; + double p = 0.0; + if(!OrderCalcProfit(type, sym, 1.0, openPrice, slPrice, p)) + return false; + lossPerLot = MathAbs(p); + return (lossPerLot > 0.0); +} + +double UB_LotsForOrder(USDJPYBusterData &d, const ENUM_ORDER_TYPE type, + const double entry, const double sl, const double scaledFixedLots) +{ + if(d.riskMode == UB_RISK_FIXED_LOTS) + return UB_NormalizeLots(d.symbol, scaledFixedLots); + + double perLotLoss = 0.0; + if(!UB_MoneyPerLotAtSl(d.symbol, type, entry, sl, perLotLoss) || perLotLoss <= 0.0) + return UB_NormalizeLots(d.symbol, scaledFixedLots); + + double riskMoney = d.fixedRiskMoney; + if(d.riskMode == UB_RISK_PERCENT) + riskMoney = AccountInfoDouble(ACCOUNT_BALANCE) * (d.riskPercent / 100.0); + + if(riskMoney <= 0.0) + return UB_NormalizeLots(d.symbol, scaledFixedLots); + + return UB_NormalizeLots(d.symbol, riskMoney / perLotLoss); +} + +bool UB_BuildRange(USDJPYBusterData &d, const datetime serverNow, double &hi, double &lo) +{ + hi = -DBL_MAX; + lo = DBL_MAX; + + const datetime day0 = UB_DayStart(serverNow); + const datetime tStart = day0 + (datetime)d.rangeStartHour * 3600; + const datetime tEnd = day0 + (datetime)d.rangeEndHour * 3600; + if(tEnd <= tStart) + return false; + + MqlRates rates[]; + const int copied = CopyRates(d.symbol, d.rangeTF, tStart, tEnd, rates); + if(copied <= 0) + return false; + + for(int i = 0; i < copied; i++) + { + if(rates[i].time < tStart || rates[i].time >= tEnd) + continue; + hi = MathMax(hi, rates[i].high); + lo = MathMin(lo, rates[i].low); + } + + if(hi <= -DBL_MAX || lo >= DBL_MAX || hi <= lo) + return false; + + const double pt = SymbolInfoDouble(d.symbol, SYMBOL_POINT); + if((hi - lo) / pt < (double)d.minRangePoints) + return false; + + hi = UB_NormalizePrice(d.symbol, hi); + lo = UB_NormalizePrice(d.symbol, lo); + return true; +} + +bool UB_AdjustStopsForBroker(USDJPYBusterData &d, const ENUM_ORDER_TYPE type, + const double entry, double &sl, double &tp) +{ + const double minD = UB_MinStopDistance(d.symbol); + if(minD <= 0.0) + return true; + + if(type == ORDER_TYPE_BUY || type == ORDER_TYPE_BUY_STOP) + { + if(entry - sl < minD) + sl = entry - minD; + if(d.useTakeProfit && tp > 0.0 && tp - entry < minD) + tp = entry + minD; + } + else + { + if(sl - entry < minD) + sl = entry + minD; + if(d.useTakeProfit && tp > 0.0 && entry - tp < minD) + tp = entry - minD; + } + sl = UB_NormalizePrice(d.symbol, sl); + if(d.useTakeProfit) + tp = UB_NormalizePrice(d.symbol, tp); + return true; +} + +bool UB_BuyStopValid(const string sym, const double buyStopPrice) +{ + MqlTick tick; + if(!SymbolInfoTick(sym, tick)) + return false; + return (buyStopPrice > tick.ask + UB_MinStopDistance(sym)); +} + +bool UB_SellStopValid(const string sym, const double sellStopPrice) +{ + MqlTick tick; + if(!SymbolInfoTick(sym, tick)) + return false; + return (sellStopPrice < tick.bid - UB_MinStopDistance(sym)); +} + +int UB_CountMagicPositions(USDJPYBusterData &d) +{ + int n = 0; + for(int i = PositionsTotal() - 1; i >= 0; i--) + { + const ulong t = PositionGetTicket(i); + if(t == 0 || !PositionSelectByTicket(t)) + continue; + if(PositionGetString(POSITION_SYMBOL) != d.symbol) + continue; + if((int)PositionGetInteger(POSITION_MAGIC) != d.magic) + continue; + n++; + } + return n; +} + +int UB_CountMagicPendings(USDJPYBusterData &d) +{ + int n = 0; + for(int i = OrdersTotal() - 1; i >= 0; i--) + { + const ulong ticket = OrderGetTicket(i); + if(ticket == 0 || !OrderSelect(ticket)) + continue; + if(OrderGetString(ORDER_SYMBOL) != d.symbol) + continue; + if((int)OrderGetInteger(ORDER_MAGIC) != d.magic) + continue; + n++; + } + return n; +} + +void UB_DeleteAllMagicPendings(USDJPYBusterData &d) +{ + for(int i = OrdersTotal() - 1; i >= 0; i--) + { + const ulong ticket = OrderGetTicket(i); + if(ticket == 0 || !OrderSelect(ticket)) + continue; + if(OrderGetString(ORDER_SYMBOL) != d.symbol) + continue; + if((int)OrderGetInteger(ORDER_MAGIC) != d.magic) + continue; + d.trade.OrderDelete(ticket); + } +} + +void UB_CloseAllMagicPositions(USDJPYBusterData &d) +{ + for(int i = PositionsTotal() - 1; i >= 0; i--) + { + const ulong t = PositionGetTicket(i); + if(t == 0 || !PositionSelectByTicket(t)) + continue; + if(PositionGetString(POSITION_SYMBOL) != d.symbol) + continue; + if((int)PositionGetInteger(POSITION_MAGIC) != d.magic) + continue; + d.trade.PositionClose(t); + } +} + +void UB_EndOfDayClose(USDJPYBusterData &d) +{ + UB_CloseAllMagicPositions(d); + UB_DeleteAllMagicPendings(d); + d.dayClosed = true; + d.ordersPlaced = false; +} + +int UB_MaxEntriesPerDay(const USDJPYBusterData &d) +{ + return (d.firstTradeOnly ? 1 : 2); +} + +void UB_TrackEntries(USDJPYBusterData &d) +{ + const int pc = UB_CountMagicPositions(d); + if(pc > d.lastPosCount) + d.entriesToday += (pc - d.lastPosCount); + d.lastPosCount = pc; + + if(d.entriesToday >= UB_MaxEntriesPerDay(d)) + UB_DeleteAllMagicPendings(d); +} + +bool UB_PlaceBreakoutOrders(USDJPYBusterData &d, const double scaledFixedLots, const double riskScale) +{ + if(!UB_SpreadOk(d)) + { + UB_Dbg(d, "spread too wide — retry later"); + return false; + } + + if(AccountInfoDouble(ACCOUNT_MARGIN_FREE) <= 0.0) + { + UB_Dbg(d, "no free margin — skip placement"); + return false; + } + + const double pt = SymbolInfoDouble(d.symbol, SYMBOL_POINT); + const double buf = d.orderBufferPoints * pt; + + const double buyPrice = UB_NormalizePrice(d.symbol, d.rangeHigh + buf); + const double sellPrice = UB_NormalizePrice(d.symbol, d.rangeLow - buf); + const double buySl = UB_NormalizePrice(d.symbol, d.rangeLow); + const double sellSl = UB_NormalizePrice(d.symbol, d.rangeHigh); + + double buyTp = 0.0, sellTp = 0.0; + if(d.useTakeProfit && d.takeProfitPoints > 0.0) + { + buyTp = UB_NormalizePrice(d.symbol, buyPrice + d.takeProfitPoints * pt); + sellTp = UB_NormalizePrice(d.symbol, sellPrice - d.takeProfitPoints * pt); + } + + double buySlAdj = buySl, sellSlAdj = sellSl; + double buyTpAdj = buyTp, sellTpAdj = sellTp; + UB_AdjustStopsForBroker(d, ORDER_TYPE_BUY_STOP, buyPrice, buySlAdj, buyTpAdj); + UB_AdjustStopsForBroker(d, ORDER_TYPE_SELL_STOP, sellPrice, sellSlAdj, sellTpAdj); + + const double savedFixed = d.fixedRiskMoney; + if(d.riskMode == UB_RISK_FIXED_MONEY && riskScale > 0.0) + d.fixedRiskMoney = savedFixed * riskScale; + + int placed = 0; + + if(d.allowLong && UB_BuyStopValid(d.symbol, buyPrice)) + { + const double lots = UB_LotsForOrder(d, ORDER_TYPE_BUY, buyPrice, buySlAdj, scaledFixedLots); + if(d.trade.BuyStop(lots, buyPrice, d.symbol, buySlAdj, buyTpAdj, ORDER_TIME_DAY, 0, "UB range up")) + placed++; + else + Print("USDJPYBuster BuyStop failed ", d.trade.ResultRetcode(), " ", d.trade.ResultRetcodeDescription()); + } + else if(d.allowLong) + UB_Dbg(d, "buy stop skipped — price already at/above range high"); + + if(d.allowShort && UB_SellStopValid(d.symbol, sellPrice)) + { + const double lots = UB_LotsForOrder(d, ORDER_TYPE_SELL, sellPrice, sellSlAdj, scaledFixedLots); + if(d.trade.SellStop(lots, sellPrice, d.symbol, sellSlAdj, sellTpAdj, ORDER_TIME_DAY, 0, "UB range dn")) + placed++; + else + Print("USDJPYBuster SellStop failed ", d.trade.ResultRetcode(), " ", d.trade.ResultRetcodeDescription()); + } + else if(d.allowShort) + UB_Dbg(d, "sell stop skipped — price already at/below range low"); + + d.fixedRiskMoney = savedFixed; + return (placed > 0); +} + +void UB_HandleFirstFillRule(USDJPYBusterData &d) +{ + if(!d.firstTradeOnly || d.firstFillDone) + return; + if(UB_CountMagicPositions(d) <= 0) + return; + UB_DeleteAllMagicPendings(d); + d.firstFillDone = true; +} + +//+------------------------------------------------------------------+ +bool InitUSDJPYBuster(USDJPYBusterData &d, + const string symbol, + const int rangeStartHour, + const int rangeEndHour, + const int closeHour, + const ENUM_TIMEFRAMES rangeTF, + const int minRangePoints, + const double orderBufferPoints, + const bool firstTradeOnly, + const bool allowLong, + const bool allowShort, + const bool useTakeProfit, + const double takeProfitPoints, + const ENUM_UB_RISK_MODE riskMode, + const double fixedRiskMoney, + const double riskPercent, + const double fixedLots, + const int magic, + const int slippage, + const int maxSpreadPoints, + const bool drawRange, + const bool debugLog = false) +{ + d.symbol = symbol; + d.rangeStartHour = rangeStartHour; + d.rangeEndHour = rangeEndHour; + d.closeHour = closeHour; + d.rangeTF = rangeTF; + d.minRangePoints = minRangePoints; + d.orderBufferPoints = orderBufferPoints; + d.firstTradeOnly = firstTradeOnly; + d.allowLong = allowLong; + d.allowShort = allowShort; + d.useTakeProfit = useTakeProfit; + d.takeProfitPoints = takeProfitPoints; + d.riskMode = riskMode; + d.fixedRiskMoney = fixedRiskMoney; + d.riskPercent = riskPercent; + d.fixedLots = fixedLots; + d.magic = magic; + d.slippage = slippage; + d.maxSpreadPoints = maxSpreadPoints; + d.drawRange = drawRange; + d.debugLog = debugLog; + + if(!SymbolSelect(symbol, true)) + { + Print("USDJPYBuster: symbol not available: ", symbol); + d.isInitialized = false; + return false; + } + + if(rangeEndHour <= rangeStartHour) + { + Print("USDJPYBuster: rangeEndHour must be > rangeStartHour"); + d.isInitialized = false; + return false; + } + + d.trade.SetExpertMagicNumber(magic); + d.trade.SetDeviationInPoints(slippage); + d.trade.SetTypeFillingBySymbol(symbol); + + d.dayKey = UB_DayKey(TimeTradeServer()); + UB_ResetDayState(d); + d.isInitialized = true; + + Print("USDJPYBuster: ", symbol, + " range ", rangeStartHour, ":00–", rangeEndHour, ":00", + " place@", rangeEndHour, ":00 close@", closeHour, ":00", + " firstOnly=", (firstTradeOnly ? "Y" : "N")); + return true; +} + +void DeinitUSDJPYBuster(USDJPYBusterData &d) +{ + if(!d.isInitialized) + return; + d.isInitialized = false; +} + +void ProcessUSDJPYBuster(USDJPYBusterData &d, const double scaledFixedLots, const double riskScale) +{ + if(!d.isInitialized) + return; + + const datetime now = TimeTradeServer(); + MqlDateTime dt; + TimeToStruct(now, dt); + + const int today = UB_DayKey(now); + if(today != d.dayKey) + { + d.dayKey = today; + UB_ResetDayState(d); + } + + if(dt.hour >= d.closeHour && !d.dayClosed) + { + UB_EndOfDayClose(d); + return; + } + + if(d.dayClosed) + return; + + UB_TrackEntries(d); + UB_HandleFirstFillRule(d); + + if(d.entriesToday >= UB_MaxEntriesPerDay(d)) + { + UB_DeleteAllMagicPendings(d); + d.ordersPlaced = true; + return; + } + + if(dt.hour < d.rangeEndHour || dt.hour >= d.closeHour) + return; + + if(d.ordersPlaced || d.rangeSkipDay) + return; + + if(UB_CountMagicPendings(d) > 0) + { + d.ordersPlaced = true; + return; + } + + if(UB_CountMagicPositions(d) > 0) + { + if(!d.closeUnprofitableOnNewSignal + || !United_PrepareEntrySlot(d.trade, d.symbol, (ulong)d.magic, d.closeUnprofitableOnNewSignal)) + { + d.ordersPlaced = true; + return; + } + } + + if(!d.rangeBuilt) + { + if(!UB_BuildRange(d, now, d.rangeHigh, d.rangeLow)) + { + UB_Dbg(d, "range not ready or too narrow — retry until " + IntegerToString(d.closeHour) + ":00"); + return; + } + d.rangeBuilt = true; + } + + if(UB_PlaceBreakoutOrders(d, scaledFixedLots, riskScale)) + { + d.ordersPlaced = true; + return; + } + + if(!d.allowLong && !d.allowShort) + d.rangeSkipDay = true; +} + +#endif diff --git a/frontline/cluster-latest/Strategies/XAUBearTrendStrategy.mqh b/frontline/cluster-latest/Strategies/XAUBearTrendStrategy.mqh new file mode 100644 index 0000000..47a83ce --- /dev/null +++ b/frontline/cluster-latest/Strategies/XAUBearTrendStrategy.mqh @@ -0,0 +1,219 @@ +//+------------------------------------------------------------------+ +//| XAUBearTrendStrategy.mqh — XAUUSD bear-regime rally-fade shorts | +//+------------------------------------------------------------------+ +#ifndef XAU_BEAR_TREND_STRATEGY_MQH +#define XAU_BEAR_TREND_STRATEGY_MQH + +struct XAUBearTrendData +{ + string symbol; + bool isInitialized; + CTrade trade; + ENUM_TIMEFRAMES regimeTF; + ENUM_TIMEFRAMES entryTF; + int regimeEmaPeriod; + int rsiPeriod; + double rsiArmLevel; + double rsiTriggerLevel; + int atrPeriod; + double slAtrMult; + double tpAtrMult; + bool useTrailing; + double trailAtrMult; + ulong magic; + int slippage; + int maxSpreadPoints; + bool closeUnprofitableOnNewSignal; + int h_regimeEma; + int h_rsi; + int h_atr; + datetime lastBarTime; + bool rsiArmed; +}; + +bool XBT_Copy1(const int handle, double &v) +{ + double b[]; + ArraySetAsSeries(b, true); + if(CopyBuffer(handle, 0, 0, 1, b) < 1) + return false; + v = b[0]; + return true; +} + +bool XBT_RegimeBearish(XAUBearTrendData &d) +{ + double ema = 0.0; + if(!XBT_Copy1(d.h_regimeEma, ema)) + return false; + const double close1 = iClose(d.symbol, d.regimeTF, 1); + return (close1 > 0.0 && ema > 0.0 && close1 < ema); +} + +bool XBT_IsNewEntryBar(XAUBearTrendData &d) +{ + datetime t = iTime(d.symbol, d.entryTF, 0); + if(t <= 0 || t == d.lastBarTime) + return false; + d.lastBarTime = t; + return true; +} + +bool InitXAUBearTrend(XAUBearTrendData &d, + const string symbol, + const ENUM_TIMEFRAMES regimeTF, + const ENUM_TIMEFRAMES entryTF, + const int regimeEmaPeriod, + const int rsiPeriod, + const double rsiArmLevel, + const double rsiTriggerLevel, + const int atrPeriod, + const double slAtrMult, + const double tpAtrMult, + const bool useTrailing, + const double trailAtrMult, + const ulong magic, + const int slippage, + const int maxSpreadPoints) +{ + d.symbol = symbol; + d.regimeTF = regimeTF; + d.entryTF = entryTF; + d.regimeEmaPeriod = regimeEmaPeriod; + d.rsiPeriod = rsiPeriod; + d.rsiArmLevel = rsiArmLevel; + d.rsiTriggerLevel = rsiTriggerLevel; + d.atrPeriod = atrPeriod; + d.slAtrMult = slAtrMult; + d.tpAtrMult = tpAtrMult; + d.useTrailing = useTrailing; + d.trailAtrMult = trailAtrMult; + d.magic = magic; + d.slippage = slippage; + d.maxSpreadPoints = maxSpreadPoints; + d.lastBarTime = 0; + d.rsiArmed = false; + + if(!SymbolSelect(symbol, true)) + { + Print("XAUBearTrend: symbol not available: ", symbol); + d.isInitialized = false; + return false; + } + + d.h_regimeEma = iMA(symbol, regimeTF, regimeEmaPeriod, 0, MODE_EMA, PRICE_CLOSE); + d.h_rsi = iRSI(symbol, entryTF, rsiPeriod, PRICE_CLOSE); + d.h_atr = iATR(symbol, entryTF, atrPeriod); + + if(d.h_regimeEma == INVALID_HANDLE || d.h_rsi == INVALID_HANDLE || d.h_atr == INVALID_HANDLE) + { + Print("XAUBearTrend: indicator init failed for ", symbol); + d.isInitialized = false; + return false; + } + + d.trade.SetExpertMagicNumber((long)magic); + d.trade.SetDeviationInPoints(slippage); + d.trade.SetTypeFillingBySymbol(symbol); + d.isInitialized = true; + return true; +} + +void DeinitXAUBearTrend(XAUBearTrendData &d) +{ + if(d.h_regimeEma != INVALID_HANDLE) IndicatorRelease(d.h_regimeEma); + if(d.h_rsi != INVALID_HANDLE) IndicatorRelease(d.h_rsi); + if(d.h_atr != INVALID_HANDLE) IndicatorRelease(d.h_atr); + d.isInitialized = false; +} + +void XBT_ManageShort(XAUBearTrendData &d) +{ + if(!PositionSelectByMagic(d.symbol, d.magic)) + return; + + if((ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE) != POSITION_TYPE_SELL) + return; + + if(!XBT_RegimeBearish(d)) + { + d.trade.PositionClose(PositionGetInteger(POSITION_TICKET)); + d.rsiArmed = false; + return; + } + + double atr = 0.0; + if(!XBT_Copy1(d.h_atr, atr) || atr <= 0.0) + return; + + const double entry = PositionGetDouble(POSITION_PRICE_OPEN); + const double bid = SymbolInfoDouble(d.symbol, SYMBOL_BID); + double sl = PositionGetDouble(POSITION_SL); + double tp = PositionGetDouble(POSITION_TP); + + if(d.useTrailing) + { + const double trail = bid + atr * d.trailAtrMult; + if(sl <= 0.0 || trail < sl) + sl = trail; + } + + if(tp <= 0.0 && d.tpAtrMult > 0.0) + tp = entry - atr * d.tpAtrMult; + + if(sl > 0.0 || tp > 0.0) + d.trade.PositionModify(PositionGetInteger(POSITION_TICKET), sl, tp); +} + +void ProcessXAUBearTrend(XAUBearTrendData &d, const double lotSize) +{ + if(!d.isInitialized || lotSize <= 0.0) + return; + + const long spread = SymbolInfoInteger(d.symbol, SYMBOL_SPREAD); + if(spread > d.maxSpreadPoints) + return; + + XBT_ManageShort(d); + + if(!XBT_IsNewEntryBar(d)) + return; + + if(!XBT_RegimeBearish(d)) + { + d.rsiArmed = false; + return; + } + + double rsi[]; + ArraySetAsSeries(rsi, true); + if(CopyBuffer(d.h_rsi, 0, 1, 2, rsi) < 2) + return; + + if(rsi[0] >= d.rsiArmLevel) + d.rsiArmed = true; + + if(!d.rsiArmed || rsi[0] >= d.rsiTriggerLevel) + return; + + if(PositionExistsByMagic(d.symbol, d.magic)) + return; + + if(!United_MayOpenNewEntry(d.symbol, d.magic, false, d.trade, d.closeUnprofitableOnNewSignal)) + return; + + double atr = 0.0; + if(!XBT_Copy1(d.h_atr, atr) || atr <= 0.0) + return; + + const double barHigh = iHigh(d.symbol, d.entryTF, 1); + const double ask = SymbolInfoDouble(d.symbol, SYMBOL_ASK); + const double sl = barHigh + atr * d.slAtrMult; + const double tp = (d.tpAtrMult > 0.0 ? ask - atr * d.tpAtrMult : 0.0); + const double lots = United_NormalizeVolume(d.symbol, lotSize); + + if(d.trade.Sell(lots, d.symbol, 0.0, sl, tp, "XBT rally fade")) + d.rsiArmed = false; +} + +#endif diff --git a/frontline/cluster-latest/Strategies/XAUMomentumBreakdownStrategy.mqh b/frontline/cluster-latest/Strategies/XAUMomentumBreakdownStrategy.mqh new file mode 100644 index 0000000..023ff18 --- /dev/null +++ b/frontline/cluster-latest/Strategies/XAUMomentumBreakdownStrategy.mqh @@ -0,0 +1,206 @@ +//+------------------------------------------------------------------+ +//| XAUMomentumBreakdownStrategy.mqh — XAUUSD BB upper fade in bear | +//+------------------------------------------------------------------+ +#ifndef XAU_MOMENTUM_BREAKDOWN_STRATEGY_MQH +#define XAU_MOMENTUM_BREAKDOWN_STRATEGY_MQH + +struct XAUMomentumBreakdownData +{ + string symbol; + bool isInitialized; + CTrade trade; + ENUM_TIMEFRAMES regimeTF; + ENUM_TIMEFRAMES entryTF; + int regimeEmaPeriod; + int bbPeriod; + double bbDeviation; + int atrPeriod; + double slAtrMult; + double tpAtrMult; + bool useTrailing; + double trailAtrMult; + ulong magic; + int slippage; + int maxSpreadPoints; + bool closeUnprofitableOnNewSignal; + int h_regimeEma; + int h_bb; + int h_atr; + datetime lastBarTime; +}; + +bool XMB_Copy1(const int handle, const int buf, double &v) +{ + double b[]; + ArraySetAsSeries(b, true); + if(CopyBuffer(handle, buf, 0, 1, b) < 1) + return false; + v = b[0]; + return true; +} + +bool XMB_RegimeBearish(XAUMomentumBreakdownData &d) +{ + double ema = 0.0; + if(!XMB_Copy1(d.h_regimeEma, 0, ema)) + return false; + const double close1 = iClose(d.symbol, d.regimeTF, 1); + return (close1 > 0.0 && ema > 0.0 && close1 < ema); +} + +bool XMB_IsNewEntryBar(XAUMomentumBreakdownData &d) +{ + datetime t = iTime(d.symbol, d.entryTF, 0); + if(t <= 0 || t == d.lastBarTime) + return false; + d.lastBarTime = t; + return true; +} + +bool InitXAUMomentumBreakdown(XAUMomentumBreakdownData &d, + const string symbol, + const ENUM_TIMEFRAMES regimeTF, + const ENUM_TIMEFRAMES entryTF, + const int regimeEmaPeriod, + const int bbPeriod, + const double bbDeviation, + const int atrPeriod, + const double slAtrMult, + const double tpAtrMult, + const bool useTrailing, + const double trailAtrMult, + const ulong magic, + const int slippage, + const int maxSpreadPoints) +{ + d.symbol = symbol; + d.regimeTF = regimeTF; + d.entryTF = entryTF; + d.regimeEmaPeriod = regimeEmaPeriod; + d.bbPeriod = bbPeriod; + d.bbDeviation = bbDeviation; + d.atrPeriod = atrPeriod; + d.slAtrMult = slAtrMult; + d.tpAtrMult = tpAtrMult; + d.useTrailing = useTrailing; + d.trailAtrMult = trailAtrMult; + d.magic = magic; + d.slippage = slippage; + d.maxSpreadPoints = maxSpreadPoints; + d.lastBarTime = 0; + + if(!SymbolSelect(symbol, true)) + { + Print("XAUMomentumBreakdown: symbol not available: ", symbol); + d.isInitialized = false; + return false; + } + + d.h_regimeEma = iMA(symbol, regimeTF, regimeEmaPeriod, 0, MODE_EMA, PRICE_CLOSE); + d.h_bb = iBands(symbol, entryTF, bbPeriod, 0, bbDeviation, PRICE_CLOSE); + d.h_atr = iATR(symbol, entryTF, atrPeriod); + + if(d.h_regimeEma == INVALID_HANDLE || d.h_bb == INVALID_HANDLE || d.h_atr == INVALID_HANDLE) + { + Print("XAUMomentumBreakdown: indicator init failed for ", symbol); + d.isInitialized = false; + return false; + } + + d.trade.SetExpertMagicNumber((long)magic); + d.trade.SetDeviationInPoints(slippage); + d.trade.SetTypeFillingBySymbol(symbol); + d.isInitialized = true; + return true; +} + +void DeinitXAUMomentumBreakdown(XAUMomentumBreakdownData &d) +{ + if(d.h_regimeEma != INVALID_HANDLE) IndicatorRelease(d.h_regimeEma); + if(d.h_bb != INVALID_HANDLE) IndicatorRelease(d.h_bb); + if(d.h_atr != INVALID_HANDLE) IndicatorRelease(d.h_atr); + d.isInitialized = false; +} + +void XMB_ManageShort(XAUMomentumBreakdownData &d) +{ + if(!PositionSelectByMagic(d.symbol, d.magic)) + return; + + if((ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE) != POSITION_TYPE_SELL) + return; + + if(!XMB_RegimeBearish(d)) + { + d.trade.PositionClose(PositionGetInteger(POSITION_TICKET)); + return; + } + + double atr = 0.0; + if(!XMB_Copy1(d.h_atr, 0, atr) || atr <= 0.0) + return; + + const double entry = PositionGetDouble(POSITION_PRICE_OPEN); + const double bid = SymbolInfoDouble(d.symbol, SYMBOL_BID); + double sl = PositionGetDouble(POSITION_SL); + double tp = PositionGetDouble(POSITION_TP); + + if(d.useTrailing) + { + const double trail = bid + atr * d.trailAtrMult; + if(sl <= 0.0 || trail < sl) + sl = trail; + } + + if(tp <= 0.0 && d.tpAtrMult > 0.0) + tp = entry - atr * d.tpAtrMult; + + if(sl > 0.0 || tp > 0.0) + d.trade.PositionModify(PositionGetInteger(POSITION_TICKET), sl, tp); +} + +void ProcessXAUMomentumBreakdown(XAUMomentumBreakdownData &d, const double lotSize) +{ + if(!d.isInitialized || lotSize <= 0.0) + return; + + const long spread = SymbolInfoInteger(d.symbol, SYMBOL_SPREAD); + if(spread > d.maxSpreadPoints) + return; + + XMB_ManageShort(d); + + if(!XMB_IsNewEntryBar(d)) + return; + + if(PositionExistsByMagic(d.symbol, d.magic)) + return; + + if(!XMB_RegimeBearish(d)) + return; + + double upper = 0.0, middle = 0.0; + if(!XMB_Copy1(d.h_bb, 1, upper) || !XMB_Copy1(d.h_bb, 0, middle)) + return; + + const double high1 = iHigh(d.symbol, d.entryTF, 1); + const double close1 = iClose(d.symbol, d.entryTF, 1); + if(high1 < upper || close1 >= upper) + return; + + if(!United_MayOpenNewEntry(d.symbol, d.magic, false, d.trade, d.closeUnprofitableOnNewSignal)) + return; + + double atr = 0.0; + if(!XMB_Copy1(d.h_atr, 0, atr) || atr <= 0.0) + return; + + const double ask = SymbolInfoDouble(d.symbol, SYMBOL_ASK); + const double sl = high1 + atr * d.slAtrMult; + const double tp = (d.tpAtrMult > 0.0 ? ask - atr * d.tpAtrMult : middle); + const double lots = United_NormalizeVolume(d.symbol, lotSize); + + d.trade.Sell(lots, d.symbol, 0.0, sl, tp, "XMB BB fade"); +} + +#endif diff --git a/frontline/cluster-latest/SuperEA.mq5 b/frontline/cluster-latest/SuperEA.mq5 new file mode 100644 index 0000000..e69de29 diff --git a/frontline/cluster-latest/USDJPYBuster/USDJPYBuster.mq5 b/frontline/cluster-latest/USDJPYBuster/USDJPYBuster.mq5 new file mode 100644 index 0000000..7339046 --- /dev/null +++ b/frontline/cluster-latest/USDJPYBuster/USDJPYBuster.mq5 @@ -0,0 +1,80 @@ +//+------------------------------------------------------------------+ +//| USDJPYBuster.mq5 | +//| Standalone wrapper — logic in Strategies/USDJPYBusterStrategy.mqh | +//+------------------------------------------------------------------+ +#property copyright "Lab" +#property link "" +#property version "1.02" +#property description "USDJPY Asian range breakout (Ian style). See cluster Strategies/USDJPYBusterStrategy.mqh." + +#include +#include "../Strategies/USDJPYBusterStrategy.mqh" + +input group "=== Symbol ===" +input string InpSymbol = "USDJPY"; + +input group "=== Range session (broker server time) ===" +input int InpRangeStartHour = 3; +input int InpRangeEndHour = 6; +input int InpCloseHour = 18; +input ENUM_TIMEFRAMES InpRangeTF = PERIOD_M20; +input int InpMinRangePoints = 15; +input double InpOrderBufferPoints = 4.75; + +input group "=== Breakout orders ===" +input bool InpFirstTradeOnly = false; +input bool InpAllowLong = true; +input bool InpAllowShort = true; +input bool InpUseTakeProfit = false; +input double InpTakeProfitPoints = 0.0; + +input group "=== Risk ===" +input ENUM_UB_RISK_MODE InpRiskMode = UB_RISK_FIXED_LOTS; +input double InpFixedRiskMoney = 250.0; +input double InpRiskPercent = 0.1; +input double InpFixedLots = 0.01; +input int InpMagic = 927002; +input int InpSlippagePoints = 20; +input int InpMaxSpreadPoints = 20; + +input group "=== Debug ===" +input bool InpDrawRange = false; +input bool InpDebugLog = false; + +USDJPYBusterData g_ub; + +string WorkSymbol() +{ + string s = InpSymbol; + StringTrimLeft(s); + StringTrimRight(s); + const int bar = StringFind(s, "|"); + if(bar >= 0) + s = StringSubstr(s, 0, bar); + StringTrimRight(s); + return (StringLen(s) > 0 ? s : _Symbol); +} + +int OnInit() +{ + return InitUSDJPYBuster(g_ub, WorkSymbol(), + InpRangeStartHour, InpRangeEndHour, InpCloseHour, InpRangeTF, + InpMinRangePoints, InpOrderBufferPoints, + InpFirstTradeOnly, InpAllowLong, InpAllowShort, + InpUseTakeProfit, InpTakeProfitPoints, + InpRiskMode, InpFixedRiskMoney, InpRiskPercent, InpFixedLots, + InpMagic, InpSlippagePoints, InpMaxSpreadPoints, + InpDrawRange, InpDebugLog) ? INIT_SUCCEEDED : INIT_FAILED; +} + +void OnDeinit(const int reason) +{ + DeinitUSDJPYBuster(g_ub); +} + +void OnTick() +{ + ProcessUSDJPYBuster(g_ub, InpFixedLots, 1.0); +} + +//+------------------------------------------------------------------+ diff --git a/frontline/cluster-latest/main.mq5 b/frontline/cluster-latest/main.mq5 index d111220..8f7063a 100644 --- a/frontline/cluster-latest/main.mq5 +++ b/frontline/cluster-latest/main.mq5 @@ -5,7 +5,7 @@ //+------------------------------------------------------------------+ #property copyright "Copyright 2025, MetaQuotes Ltd." #property link "https://www.mql5.com" -#property version "1.21" +#property version "1.26" #property strict #property description "LOT_* nominal at ORCH_ReferenceBalance; scale = balance/equity ÷ reference (clamped). No performance-evaluator ranking." @@ -14,6 +14,7 @@ #include #include #include "MagicNumberHelpers.mqh" +#include "GapGuard.mqh" #define UNITED_V2_DYNAMIC_LOTS double g_DB_LotSize; // Include strategy implementations early so structs are available @@ -27,6 +28,9 @@ double g_DB_LotSize; #include "Strategies/RSIConsolidationStrategy.mqh" #include "Strategies/SimpleTrendlineStrategy.mqh" #include "Strategies/RSISecretSauceStrategy.mqh" +#include "Strategies/USDJPYBusterStrategy.mqh" +#include "Strategies/XAUBearTrendStrategy.mqh" +#include "Strategies/XAUMomentumBreakdownStrategy.mqh" //+------------------------------------------------------------------+ //| Global Lot Size Variables (for dynamic lot sizing) | @@ -36,6 +40,7 @@ double g_RC_LotSize; // RSI CrossOver Reversal lot size double g_RM_LotSize; // RSI MidPoint Hijack lot size double g_Pos_RS_APPL; +double g_Pos_RS_ADBE; double g_Pos_RS_BTCUSD; double g_Pos_RS_NVDA; double g_Pos_RS_TSLA; @@ -49,10 +54,78 @@ double g_Pos_ST_BTCUSD; double g_Pos_ST_XAUUSD; double g_Pos_ST_GER40; double g_RSS_LotSize; +double g_Pos_UB_USDJPY; +double g_Pos_XBT_XAUUSD; +double g_Pos_XMB_XAUUSD; +double g_Pos_RRA_GBPUSD; +double g_Pos_GB_GER40; +double g_Pos_RS_NAS100; +double g_Pos_RS_US500; +double g_Pos_RRA_USDCHF; +double g_Pos_RRA_NZDUSD; +double g_Pos_NB_NAS100; +double g_Pos_U5B_US500; +double g_Pos_RS_US30; +double g_Pos_RS_XAGUSD; +double g_Pos_RS_EURJPY; +double g_Pos_RS_GBPJPY; +double g_Pos_U30B_US30; +double g_Pos_UKB_UK100; +double g_Pos_XGB_XAGUSD; +double g_Pos_RS_F; +double g_Pos_RS_SOFI; +double g_Pos_RS_SNAP; +double g_Pos_RS_WBD; -bool United_MayOpenNewEntry(const string symbol, const ulong magic, const bool isBuy) +input group "=== Signal Replacement — close unprofitable on new signal (per strategy) ===" +input bool DB_CloseUnprofitableOnNewSignal = false; +input bool ES_CloseUnprofitableOnNewSignal = true; // audit 2026-07 +174 net / +1.46 sharpe +input bool RC_CloseUnprofitableOnNewSignal = false; +input bool RM_CloseUnprofitableOnNewSignal = false; +input bool RS_APPL_CloseUnprofitableOnNewSignal = false; +input bool RS_ADBE_CloseUnprofitableOnNewSignal = false; +input bool RS_BTCUSD_CloseUnprofitableOnNewSignal = false; +input bool RS_NVDA_CloseUnprofitableOnNewSignal = false; +input bool RS_TSLA_CloseUnprofitableOnNewSignal = false; // audit 2026-07 NEUTRAL (-11 net) +input bool RS_XAUUSD_CloseUnprofitableOnNewSignal = true; // audit 2026-07 +677 net / +1.92 sharpe +input bool RS_MU_CloseUnprofitableOnNewSignal = false; +input bool RRA_EURUSD_CloseUnprofitableOnNewSignal = false; +input bool RRA_AUDUSD_CloseUnprofitableOnNewSignal = false; +input bool SE_CloseUnprofitableOnNewSignal = false; +input bool RCO_CloseUnprofitableOnNewSignal = false; +input bool ST_BTC_CloseUnprofitableOnNewSignal = false; +input bool ST_XAU_CloseUnprofitableOnNewSignal = false; +input bool ST_GER_CloseUnprofitableOnNewSignal = false; +input bool RSS_CloseUnprofitableOnNewSignal = false; +input bool UB_CloseUnprofitableOnNewSignal = false; +input bool XBT_CloseUnprofitableOnNewSignal = false; +input bool XMB_CloseUnprofitableOnNewSignal = false; +input bool RRA_GBPUSD_CloseUnprofitableOnNewSignal = false; +input bool GB_CloseUnprofitableOnNewSignal = false; +input bool RS_NAS100_CloseUnprofitableOnNewSignal = false; +input bool RS_US500_CloseUnprofitableOnNewSignal = false; +input bool RRA_USDCHF_CloseUnprofitableOnNewSignal = false; +input bool RRA_NZDUSD_CloseUnprofitableOnNewSignal = false; +input bool NB_CloseUnprofitableOnNewSignal = false; +input bool U5B_CloseUnprofitableOnNewSignal = false; +input bool RS_US30_CloseUnprofitableOnNewSignal = true; // audit 2026-07 +92 net / +0.68 sharpe +input bool RS_XAGUSD_CloseUnprofitableOnNewSignal = false; +input bool RS_EURJPY_CloseUnprofitableOnNewSignal = false; +input bool RS_GBPJPY_CloseUnprofitableOnNewSignal = false; +input bool U30B_CloseUnprofitableOnNewSignal = false; +input bool UKB_CloseUnprofitableOnNewSignal = false; +input bool XGB_CloseUnprofitableOnNewSignal = false; +input bool RS_F_CloseUnprofitableOnNewSignal = false; +input bool RS_SOFI_CloseUnprofitableOnNewSignal = false; +input bool RS_SNAP_CloseUnprofitableOnNewSignal = false; +input bool RS_WBD_CloseUnprofitableOnNewSignal = false; + +bool United_MayOpenNewEntry(const string symbol, const ulong magic, const bool isBuy, CTrade &trade, + const bool closeUnprofitableOnNewSignal) { - if(PositionExistsByMagic(symbol, magic)) + if(!United_PrepareEntrySlot(trade, symbol, magic, closeUnprofitableOnNewSignal)) + return false; + if(United_IsGapRiskWindow(symbol)) return false; return true; } @@ -65,49 +138,105 @@ input bool EnableDarvasBox = true; input bool EnableEMASlopeDistance = true; input bool EnableRSICrossOverReversal = true; input bool EnableRSIMidPointHijack = true; -input bool EnableRSIScalpingAPPL = true; -input bool EnableRSIScalpingBTCUSD = false; +input bool EnableRSIScalpingAPPL = false; +input bool EnableRSIScalpingADBE = false; +input bool EnableRSIScalpingBTCUSD = true; input bool EnableRSIScalpingNVDA = true; input bool EnableRSIScalpingTSLA = true; -input bool EnableRSIScalpingXAUUSD = false; -input bool EnableRSIScalpingMU = true; -input bool EnableSuperEMA = false; +input bool EnableRSIScalpingXAUUSD = true; +input bool EnableRSIScalpingMU = false; // high share price (~$1000+) — margin risk +input bool EnableSuperEMA = true; input bool EnableRSIConsolidation = false; -input bool EnableRSIReversalAsianEURUSD = true; +input bool EnableRSIReversalAsianEURUSD = false; input bool EnableRSIReversalAsianAUDUSD = true; -input bool EnableSimpleTrendlineBTCUSD = false; -input bool EnableSimpleTrendlineXAUUSD = false; +input bool EnableSimpleTrendlineBTCUSD = true; +input bool EnableSimpleTrendlineXAUUSD = true; input bool EnableSimpleTrendlineGER40 = false; input bool EnableRSISecretSauce = false; +input bool EnableUSDJPYBuster = true; +input bool EnableXAUBearTrend = false; +input bool EnableXAUMomentumBreakdown = false; +input bool EnableRSIReversalAsianGBPUSD = true; +input bool EnableGER40Buster = true; +input bool EnableRSIScalpingNAS100 = true; +input bool EnableRSIScalpingUS500 = false; +input bool EnableRSIReversalAsianUSDCHF = false; +input bool EnableRSIReversalAsianNZDUSD = false; +input bool EnableNAS100Buster = false; +input bool EnableUS500Buster = true; +input bool EnableRSIScalpingUS30 = true; +input bool EnableRSIScalpingXAGUSD = false; +input bool EnableRSIScalpingEURJPY = false; +input bool EnableRSIScalpingGBPJPY = false; +input bool EnableUS30Buster = false; +input bool EnableUK100Buster = true; +input bool EnableXAGUSDBuster = false; +input bool EnableRSIScalpingF = false; +input bool EnableRSIScalpingSOFI = false; +input bool EnableRSIScalpingSNAP = false; +input bool EnableRSIScalpingWBD = false; input bool OPT_GuardOptimizationMode = true; // legacy compatibility with 123.set input group "=== Centralized Lot Size (Granular Per Robot) ===" input double LOT_DB_DarvasBox = 0.01; -input double LOT_ES_EMASlopeDistance = 0.02; -input double LOT_RC_RSICrossOver = 0.01; +input double LOT_ES_EMASlopeDistance = 0.07; +input double LOT_RC_RSICrossOver = 0.1; input double LOT_RM_RSIMidPointHijack = 0.01; -input double LOT_RS_APPL = 25.0; -input double LOT_RS_BTCUSD = 0.1; -input double LOT_RS_NVDA = 25.0; -input double LOT_RS_TSLA = 5.0; -input double LOT_RS_XAUUSD = 0.27; +input double LOT_RS_APPL = 5; +input double LOT_RS_ADBE = 5; +input double LOT_RS_BTCUSD = 0.06; +input double LOT_RS_NVDA = 5; +input double LOT_RS_TSLA = 5; +input double LOT_RS_XAUUSD = 0.04; input double LOT_RS_MU = 5.0; -input double LOT_RRA_EURUSD = 0.1; -input double LOT_RRA_AUDUSD = 0.1; +input double LOT_RRA_EURUSD = 0.03; +input double LOT_RRA_AUDUSD = 0.05; input double LOT_SE_SuperEMA = 0.01; input double LOT_RCO_RSIConsolidation = 0.1; -input double LOT_ST_BTCUSD = 0.1; -input double LOT_ST_XAUUSD = 0.1; +input double LOT_ST_BTCUSD = 0.01; +input double LOT_ST_XAUUSD = 0.01; input double LOT_ST_GER40 = 0.10; input double LOT_RSS_SecretSauce = 0.1; +input double LOT_UB_USDJPY = 0.03; +input double LOT_XBT_XAUUSD = 0.02; +input double LOT_XMB_XAUUSD = 0.02; +input double LOT_RRA_GBPUSD = 0.03; +input double LOT_GB_GER40 = 0.01; +input double LOT_RS_NAS100 = 0.03; +input double LOT_RS_US500 = 0.1; +input double LOT_RRA_USDCHF = 0.1; +input double LOT_RRA_NZDUSD = 0.1; +input double LOT_NB_NAS100 = 0.05; +input double LOT_U5B_US500 = 0.05; +input double LOT_RS_US30 = 0.02; +input double LOT_RS_XAGUSD = 0.05; +input double LOT_RS_EURJPY = 0.08; +input double LOT_RS_GBPJPY = 0.08; +input double LOT_U30B_US30 = 0.05; +input double LOT_UKB_UK100 = 0.01; +input double LOT_XGB_XAGUSD = 0.05; +input double LOT_RS_F = 10.0; // ~$14 stock, ~$7 margin @ 10 sh +input double LOT_RS_SOFI = 10.0; +input double LOT_RS_SNAP = 10.0; +input double LOT_RS_WBD = 10.0; input group "=== Balance-based position sizing ===" input bool ORCH_ScaleLotsByBalance = true; input bool ORCH_UseEquityInsteadOfBalance = false; -input double ORCH_ReferenceBalance = 1000.0; +input double ORCH_ReferenceBalance = 3000.0; input double ORCH_MinBalanceScale = 0.1; input double ORCH_MaxBalanceScale = 100000.0; +input group "=== Gap Loss Prevention (跳空) ===" +input bool GAP_Enable = false; // match 123.set / audit backtests (true = more session flats) +input bool GAP_CloseBeforeSessionEnd = true; +input int GAP_MinutesBeforeClose = 15; +input bool GAP_CloseBeforeWeekend = true; +input int GAP_FridayCloseHour = 20; +input bool GAP_CloseOnBarGapThroughSL = true; +input double GAP_MinGapPoints = 0.0; +input int GAP_EquityDailyFlatHour = 21; + //+------------------------------------------------------------------+ //| Strategy 1: DarvasBoxXAUUSD | //+------------------------------------------------------------------+ @@ -258,7 +387,7 @@ input int RM_InpEMADistancePeriod = 26; //| 4. Use the exact symbol name shown | //+------------------------------------------------------------------+ input group "=== RSI Scalping APPL (AAPL) - Pepperstone US ===" -input string RS_APPL_Symbol = "AAPL"; +input string RS_APPL_Symbol = "AAPL.NAS"; input ENUM_TIMEFRAMES RS_APPL_TimeFrame = PERIOD_M10; input int RS_APPL_RSI_Period = 14; input ENUM_APPLIED_PRICE RS_APPL_RSI_Applied_Price = PRICE_CLOSE; @@ -271,6 +400,20 @@ input double RS_APPL_LotSize = 25; input int RS_APPL_MagicNumber = 20001; input int RS_APPL_Slippage = 3; +input group "=== RSI Scalping ADBE - Pepperstone US ===" +input string RS_ADBE_Symbol = "ADBE.NAS"; +input ENUM_TIMEFRAMES RS_ADBE_TimeFrame = (ENUM_TIMEFRAMES)6; +input int RS_ADBE_RSI_Period = 15; +input ENUM_APPLIED_PRICE RS_ADBE_RSI_Applied_Price = PRICE_OPEN; +input double RS_ADBE_RSI_Overbought = 16; +input double RS_ADBE_RSI_Oversold = 42; +input double RS_ADBE_RSI_Target_Buy = 67; +input double RS_ADBE_RSI_Target_Sell = 62; +input int RS_ADBE_BarsToWait = 8; +input double RS_ADBE_LotSize = 5.0; +input int RS_ADBE_MagicNumber = 12345; +input int RS_ADBE_Slippage = 3; + input group "=== RSI Scalping BTCUSD ===" input string RS_BTCUSD_Symbol = "BTCUSD"; // Pepperstone may use: "BTCUSD", "BTC/USD", or "BTCUSD.c" input ENUM_TIMEFRAMES RS_BTCUSD_TimeFrame = PERIOD_H1; @@ -286,7 +429,7 @@ input int RS_BTCUSD_MagicNumber = 123459123; input int RS_BTCUSD_Slippage = 3; input group "=== RSI Scalping NVDA - Pepperstone US ===" -input string RS_NVDA_Symbol = "NVDA"; +input string RS_NVDA_Symbol = "NVDA.NAS"; input ENUM_TIMEFRAMES RS_NVDA_TimeFrame = PERIOD_M15; input int RS_NVDA_RSI_Period = 8; input ENUM_APPLIED_PRICE RS_NVDA_RSI_Applied_Price = PRICE_CLOSE; @@ -300,7 +443,7 @@ input int RS_NVDA_MagicNumber = 20003; input int RS_NVDA_Slippage = 3; input group "=== RSI Scalping TSLA - Pepperstone US ===" -input string RS_TSLA_Symbol = "TSLA"; +input string RS_TSLA_Symbol = "TSLA.NAS"; input ENUM_TIMEFRAMES RS_TSLA_TimeFrame = PERIOD_H1; input int RS_TSLA_RSI_Period = 14; input ENUM_APPLIED_PRICE RS_TSLA_RSI_Applied_Price = PRICE_CLOSE; @@ -328,7 +471,7 @@ input int RS_XAUUSD_MagicNumber = 129102315; input int RS_XAUUSD_Slippage = 3; input group "=== RSI Scalping MU ===" -input string RS_MU_Symbol = "MU"; +input string RS_MU_Symbol = "MU.NAS"; input ENUM_TIMEFRAMES RS_MU_TimeFrame = PERIOD_M20; input int RS_MU_RSI_Period = 14; input ENUM_APPLIED_PRICE RS_MU_RSI_Applied_Price = PRICE_CLOSE; @@ -341,6 +484,84 @@ input double RS_MU_LotSize = 5.0; input int RS_MU_MagicNumber = 129102316; input int RS_MU_Slippage = 3; +input group "=== RSI Scalping NAS100 ===" +input string RS_NAS100_Symbol = "NAS100"; +input ENUM_TIMEFRAMES RS_NAS100_TimeFrame = PERIOD_H1; +input int RS_NAS100_RSI_Period = 14; +input ENUM_APPLIED_PRICE RS_NAS100_RSI_Applied_Price = PRICE_CLOSE; +input double RS_NAS100_RSI_Overbought = 58; +input double RS_NAS100_RSI_Oversold = 42; +input double RS_NAS100_RSI_Target_Buy = 78; +input double RS_NAS100_RSI_Target_Sell = 46; +input int RS_NAS100_BarsToWait = 4; +input int RS_NAS100_MagicNumber = 20005; +input int RS_NAS100_Slippage = 5; + +input group "=== RSI Scalping US500 ===" +input string RS_US500_Symbol = "US500"; +input ENUM_TIMEFRAMES RS_US500_TimeFrame = PERIOD_H1; +input int RS_US500_RSI_Period = 14; +input ENUM_APPLIED_PRICE RS_US500_RSI_Applied_Price = PRICE_CLOSE; +input double RS_US500_RSI_Overbought = 62; +input double RS_US500_RSI_Oversold = 38; +input double RS_US500_RSI_Target_Buy = 80; +input double RS_US500_RSI_Target_Sell = 44; +input int RS_US500_BarsToWait = 5; +input int RS_US500_MagicNumber = 20006; +input int RS_US500_Slippage = 5; + +input group "=== RSI Scalping US30 ===" +input string RS_US30_Symbol = "US30"; +input ENUM_TIMEFRAMES RS_US30_TimeFrame = PERIOD_H1; +input int RS_US30_RSI_Period = 14; +input ENUM_APPLIED_PRICE RS_US30_RSI_Applied_Price = PRICE_CLOSE; +input double RS_US30_RSI_Overbought = 56; +input double RS_US30_RSI_Oversold = 44; +input double RS_US30_RSI_Target_Buy = 76; +input double RS_US30_RSI_Target_Sell = 48; +input int RS_US30_BarsToWait = 4; +input int RS_US30_MagicNumber = 20007; +input int RS_US30_Slippage = 5; + +input group "=== RSI Scalping XAGUSD ===" +input string RS_XAGUSD_Symbol = "XAGUSD"; +input ENUM_TIMEFRAMES RS_XAGUSD_TimeFrame = PERIOD_H1; +input int RS_XAGUSD_RSI_Period = 14; +input ENUM_APPLIED_PRICE RS_XAGUSD_RSI_Applied_Price = PRICE_CLOSE; +input double RS_XAGUSD_RSI_Overbought = 65; +input double RS_XAGUSD_RSI_Oversold = 35; +input double RS_XAGUSD_RSI_Target_Buy = 82; +input double RS_XAGUSD_RSI_Target_Sell = 42; +input int RS_XAGUSD_BarsToWait = 5; +input int RS_XAGUSD_MagicNumber = 20008; +input int RS_XAGUSD_Slippage = 5; + +input group "=== RSI Scalping EURJPY ===" +input string RS_EURJPY_Symbol = "EURJPY"; +input ENUM_TIMEFRAMES RS_EURJPY_TimeFrame = PERIOD_M30; +input int RS_EURJPY_RSI_Period = 14; +input ENUM_APPLIED_PRICE RS_EURJPY_RSI_Applied_Price = PRICE_CLOSE; +input double RS_EURJPY_RSI_Overbought = 60; +input double RS_EURJPY_RSI_Oversold = 40; +input double RS_EURJPY_RSI_Target_Buy = 75; +input double RS_EURJPY_RSI_Target_Sell = 45; +input int RS_EURJPY_BarsToWait = 4; +input int RS_EURJPY_MagicNumber = 20009; +input int RS_EURJPY_Slippage = 3; + +input group "=== RSI Scalping GBPJPY ===" +input string RS_GBPJPY_Symbol = "GBPJPY"; +input ENUM_TIMEFRAMES RS_GBPJPY_TimeFrame = PERIOD_M30; +input int RS_GBPJPY_RSI_Period = 14; +input ENUM_APPLIED_PRICE RS_GBPJPY_RSI_Applied_Price = PRICE_CLOSE; +input double RS_GBPJPY_RSI_Overbought = 62; +input double RS_GBPJPY_RSI_Oversold = 38; +input double RS_GBPJPY_RSI_Target_Buy = 78; +input double RS_GBPJPY_RSI_Target_Sell = 44; +input int RS_GBPJPY_BarsToWait = 4; +input int RS_GBPJPY_MagicNumber = 20010; +input int RS_GBPJPY_Slippage = 3; + input group "=== RSI Scalping Reversal Escape (XAUUSD only) ===" input bool RS_UseReversalEscape = true; input int RS_ReversalATRPeriod = 14; @@ -354,6 +575,11 @@ input bool RS_APPL_UseTrailingStop = true; input double RS_APPL_TrailDistancePoints = 120.0; input double RS_APPL_TrailActivationPoints = 0.0; +input group "=== RSI Scalping ADBE — Trailing ===" +input bool RS_ADBE_UseTrailingStop = true; +input double RS_ADBE_TrailDistancePoints = 425.0; +input double RS_ADBE_TrailActivationPoints = 18.5; + input group "=== RSI Scalping BTCUSD — Trailing ===" input bool RS_BTCUSD_UseTrailingStop = true; input double RS_BTCUSD_TrailDistancePoints = 120.0; @@ -367,13 +593,115 @@ input double RS_NVDA_TrailActivationPoints = 75.0; input group "=== RSI Scalping TSLA — Trailing ===" input bool RS_TSLA_UseTrailingStop = true; input double RS_TSLA_TrailDistancePoints = 900.0; -input double RS_TSLA_TrailActivationPoints = 950.0; +input double RS_TSLA_TrailActivationPoints = 500.0; input group "=== RSI Scalping XAUUSD — Trailing ===" input bool RS_XAUUSD_UseTrailingStop = true; input double RS_XAUUSD_TrailDistancePoints = 71.0; input double RS_XAUUSD_TrailActivationPoints = 41.0; +input group "=== RSI Scalping NAS100 — Trailing ===" +input bool RS_NAS100_UseTrailingStop = true; +input double RS_NAS100_TrailDistancePoints = 180.0; +input double RS_NAS100_TrailActivationPoints = 60.0; + +input group "=== RSI Scalping US500 — Trailing ===" +input bool RS_US500_UseTrailingStop = true; +input double RS_US500_TrailDistancePoints = 150.0; +input double RS_US500_TrailActivationPoints = 50.0; + +input group "=== RSI Scalping US30 — Trailing ===" +input bool RS_US30_UseTrailingStop = true; +input double RS_US30_TrailDistancePoints = 200.0; +input double RS_US30_TrailActivationPoints = 70.0; + +input group "=== RSI Scalping XAGUSD — Trailing ===" +input bool RS_XAGUSD_UseTrailingStop = true; +input double RS_XAGUSD_TrailDistancePoints = 90.0; +input double RS_XAGUSD_TrailActivationPoints = 35.0; + +input group "=== RSI Scalping EURJPY — Trailing ===" +input bool RS_EURJPY_UseTrailingStop = true; +input double RS_EURJPY_TrailDistancePoints = 45.0; +input double RS_EURJPY_TrailActivationPoints = 20.0; + +input group "=== RSI Scalping GBPJPY — Trailing ===" +input bool RS_GBPJPY_UseTrailingStop = true; +input double RS_GBPJPY_TrailDistancePoints = 55.0; +input double RS_GBPJPY_TrailActivationPoints = 25.0; + +input group "=== RSI Scalping F (Ford, low margin) ===" +input string RS_F_Symbol = "F.NYS"; +input ENUM_TIMEFRAMES RS_F_TimeFrame = PERIOD_M15; +input int RS_F_RSI_Period = 8; +input ENUM_APPLIED_PRICE RS_F_RSI_Applied_Price = PRICE_CLOSE; +input double RS_F_RSI_Overbought = 36; +input double RS_F_RSI_Oversold = 38; +input double RS_F_RSI_Target_Buy = 90; +input double RS_F_RSI_Target_Sell = 70; +input int RS_F_BarsToWait = 5; +input int RS_F_MagicNumber = 20011; +input int RS_F_Slippage = 5; + +input group "=== RSI Scalping SOFI (low margin) ===" +input string RS_SOFI_Symbol = "SOFI.NAS"; +input ENUM_TIMEFRAMES RS_SOFI_TimeFrame = PERIOD_M15; +input int RS_SOFI_RSI_Period = 8; +input ENUM_APPLIED_PRICE RS_SOFI_RSI_Applied_Price = PRICE_CLOSE; +input double RS_SOFI_RSI_Overbought = 36; +input double RS_SOFI_RSI_Oversold = 38; +input double RS_SOFI_RSI_Target_Buy = 90; +input double RS_SOFI_RSI_Target_Sell = 70; +input int RS_SOFI_BarsToWait = 5; +input int RS_SOFI_MagicNumber = 20012; +input int RS_SOFI_Slippage = 5; + +input group "=== RSI Scalping SNAP (Snap, ultra-low margin) ===" +input string RS_SNAP_Symbol = "SNAP.NYS"; +input ENUM_TIMEFRAMES RS_SNAP_TimeFrame = PERIOD_M15; +input int RS_SNAP_RSI_Period = 8; +input ENUM_APPLIED_PRICE RS_SNAP_RSI_Applied_Price = PRICE_CLOSE; +input double RS_SNAP_RSI_Overbought = 36; +input double RS_SNAP_RSI_Oversold = 38; +input double RS_SNAP_RSI_Target_Buy = 90; +input double RS_SNAP_RSI_Target_Sell = 70; +input int RS_SNAP_BarsToWait = 5; +input int RS_SNAP_MagicNumber = 20013; +input int RS_SNAP_Slippage = 5; + +input group "=== RSI Scalping WBD (Warner Bros, low margin) ===" +input string RS_WBD_Symbol = "WBD.NAS"; +input ENUM_TIMEFRAMES RS_WBD_TimeFrame = PERIOD_M15; +input int RS_WBD_RSI_Period = 8; +input ENUM_APPLIED_PRICE RS_WBD_RSI_Applied_Price = PRICE_CLOSE; +input double RS_WBD_RSI_Overbought = 36; +input double RS_WBD_RSI_Oversold = 38; +input double RS_WBD_RSI_Target_Buy = 90; +input double RS_WBD_RSI_Target_Sell = 70; +input int RS_WBD_BarsToWait = 5; +input int RS_WBD_MagicNumber = 20014; +input int RS_WBD_Slippage = 5; + +input group "=== RSI Scalping F — Trailing ===" +input bool RS_F_UseTrailingStop = true; +input double RS_F_TrailDistancePoints = 375.0; +input double RS_F_TrailActivationPoints = 75.0; + +input group "=== RSI Scalping SOFI — Trailing ===" +input bool RS_SOFI_UseTrailingStop = true; +input double RS_SOFI_TrailDistancePoints = 375.0; +input double RS_SOFI_TrailActivationPoints = 75.0; + +input group "=== RSI Scalping SNAP — Trailing ===" +input bool RS_SNAP_UseTrailingStop = true; +input double RS_SNAP_TrailDistancePoints = 375.0; +input double RS_SNAP_TrailActivationPoints = 75.0; + +input group "=== RSI Scalping WBD — Trailing ===" +input bool RS_WBD_UseTrailingStop = true; +input double RS_WBD_TrailDistancePoints = 375.0; +input double RS_WBD_TrailActivationPoints = 75.0; + //+------------------------------------------------------------------+ //| Strategy 11-12: RSI Reversal Asian Strategies | //| Each RSI Reversal Asian strategy trades on its own symbol: | @@ -532,6 +860,257 @@ input int RSS_SwingLookback = 30; input int RSS_MaxPositions = 1; input int RSS_MinBarsBetweenTrades = 7; +input group "=== USDJPY Buster (Asian range breakout) ===" +input string UB_Symbol = "USDJPY"; +input int UB_RangeStartHour = 3; +input int UB_RangeEndHour = 6; +input int UB_CloseHour = 18; +input ENUM_TIMEFRAMES UB_RangeTF = PERIOD_M20; +input int UB_MinRangePoints = 15; +input double UB_OrderBufferPoints = 4.75; +input bool UB_FirstTradeOnly = false; +input bool UB_AllowLong = true; +input bool UB_AllowShort = true; +input bool UB_UseTakeProfit = false; +input double UB_TakeProfitPoints = 0.0; +input ENUM_UB_RISK_MODE UB_RiskMode = UB_RISK_FIXED_LOTS; +input double UB_FixedRiskMoney = 250.0; +input double UB_RiskPercent = 0.1; +input double UB_FixedLots = 0.01; +input int UB_MagicNumber = 927002; +input int UB_Slippage = 20; +input int UB_MaxSpreadPoints = 20; +input bool UB_DrawRange = false; +input bool UB_DebugLog = false; + +input group "=== XAU Bear Trend (short-only hedge) ===" +input string XBT_Symbol = "XAUUSD"; +input ENUM_TIMEFRAMES XBT_RegimeTF = PERIOD_D1; +input ENUM_TIMEFRAMES XBT_EntryTF = PERIOD_H1; +input int XBT_RegimeEmaPeriod = 100; +input int XBT_RsiPeriod = 14; +input double XBT_RsiArmLevel = 54.0; +input double XBT_RsiTriggerLevel = 50.0; +input int XBT_AtrPeriod = 14; +input double XBT_SlAtrMult = 0.45; +input double XBT_TpAtrMult = 2.5; +input bool XBT_UseTrailing = true; +input double XBT_TrailAtrMult = 1.5; +input ulong XBT_MagicNumber = 928101; +input int XBT_Slippage = 20; +input int XBT_MaxSpreadPoints = 50; + +input group "=== XAU Momentum Breakdown (short-only hedge) ===" +input string XMB_Symbol = "XAUUSD"; +input ENUM_TIMEFRAMES XMB_RegimeTF = PERIOD_D1; +input ENUM_TIMEFRAMES XMB_EntryTF = PERIOD_H4; +input int XMB_RegimeEmaPeriod = 100; +input int XMB_BbPeriod = 20; +input double XMB_BbDeviation = 2.0; +input int XMB_AtrPeriod = 14; +input double XMB_SlAtrMult = 0.4; +input double XMB_TpAtrMult = 2.8; +input bool XMB_UseTrailing = true; +input double XMB_TrailAtrMult = 1.4; +input ulong XMB_MagicNumber = 928102; +input int XMB_Slippage = 20; +input int XMB_MaxSpreadPoints = 50; + +input group "=== RSI Reversal Asian GBPUSD ===" +input string RRA_GBPUSD_Symbol = "GBPUSD"; +input int RRA_GBPUSD_RSIPeriod = 32; +input double RRA_GBPUSD_OverboughtLevel = 80; +input double RRA_GBPUSD_OversoldLevel = 37; +input int RRA_GBPUSD_TakeProfitPips = 225; +input int RRA_GBPUSD_StopLossPips = 45; +input double RRA_GBPUSD_MaxLotSize = 0.2; +input int RRA_GBPUSD_MaxSpread = 1800; +input int RRA_GBPUSD_MaxDuration = 480; +input bool RRA_GBPUSD_UseStopLoss = false; +input bool RRA_GBPUSD_UseTakeProfit = false; +input bool RRA_GBPUSD_UseRSIExit = true; +input double RRA_GBPUSD_RSIExitLevel = 43; +input bool RRA_GBPUSD_CloseOutsideSession = true; +input ENUM_TIMEFRAMES RRA_GBPUSD_TimeFrame = PERIOD_M15; +input int RRA_GBPUSD_MagicNumber = 30003; +input int RRA_GBPUSD_Slippage = 3; + +input group "=== GER40 Buster (European session range breakout) ===" +input string GB_Symbol = "GER40"; +input int GB_RangeStartHour = 8; +input int GB_RangeEndHour = 10; +input int GB_CloseHour = 20; +input ENUM_TIMEFRAMES GB_RangeTF = PERIOD_M15; +input int GB_MinRangePoints = 80; +input double GB_OrderBufferPoints = 12.0; +input bool GB_FirstTradeOnly = false; +input bool GB_AllowLong = true; +input bool GB_AllowShort = true; +input bool GB_UseTakeProfit = false; +input double GB_TakeProfitPoints = 0.0; +input ENUM_UB_RISK_MODE GB_RiskMode = UB_RISK_FIXED_LOTS; +input double GB_FixedRiskMoney = 250.0; +input double GB_RiskPercent = 0.1; +input double GB_FixedLots = 0.01; +input int GB_MagicNumber = 927102; +input int GB_Slippage = 30; +input int GB_MaxSpreadPoints = 120; +input bool GB_DrawRange = false; +input bool GB_DebugLog = false; + +input group "=== RSI Reversal Asian USDCHF ===" +input string RRA_USDCHF_Symbol = "USDCHF"; +input int RRA_USDCHF_RSIPeriod = 30; +input double RRA_USDCHF_OverboughtLevel = 72; +input double RRA_USDCHF_OversoldLevel = 22; +input int RRA_USDCHF_TakeProfitPips = 200; +input int RRA_USDCHF_StopLossPips = 40; +input double RRA_USDCHF_MaxLotSize = 0.2; +input int RRA_USDCHF_MaxSpread = 1200; +input int RRA_USDCHF_MaxDuration = 420; +input bool RRA_USDCHF_UseStopLoss = false; +input bool RRA_USDCHF_UseTakeProfit = false; +input bool RRA_USDCHF_UseRSIExit = true; +input double RRA_USDCHF_RSIExitLevel = 50; +input bool RRA_USDCHF_CloseOutsideSession = true; +input ENUM_TIMEFRAMES RRA_USDCHF_TimeFrame = PERIOD_M15; +input int RRA_USDCHF_MagicNumber = 30004; +input int RRA_USDCHF_Slippage = 3; + +input group "=== RSI Reversal Asian NZDUSD ===" +input string RRA_NZDUSD_Symbol = "NZDUSD"; +input int RRA_NZDUSD_RSIPeriod = 28; +input double RRA_NZDUSD_OverboughtLevel = 66; +input double RRA_NZDUSD_OversoldLevel = 28; +input int RRA_NZDUSD_TakeProfitPips = 200; +input int RRA_NZDUSD_StopLossPips = 40; +input double RRA_NZDUSD_MaxLotSize = 0.2; +input int RRA_NZDUSD_MaxSpread = 1200; +input int RRA_NZDUSD_MaxDuration = 400; +input bool RRA_NZDUSD_UseStopLoss = false; +input bool RRA_NZDUSD_UseTakeProfit = false; +input bool RRA_NZDUSD_UseRSIExit = true; +input double RRA_NZDUSD_RSIExitLevel = 50; +input bool RRA_NZDUSD_CloseOutsideSession = true; +input ENUM_TIMEFRAMES RRA_NZDUSD_TimeFrame = PERIOD_M15; +input int RRA_NZDUSD_MagicNumber = 30005; +input int RRA_NZDUSD_Slippage = 3; + +input group "=== NAS100 Buster (US cash open range) ===" +input string NB_Symbol = "NAS100"; +input int NB_RangeStartHour = 14; +input int NB_RangeEndHour = 16; +input int NB_CloseHour = 21; +input ENUM_TIMEFRAMES NB_RangeTF = PERIOD_M15; +input int NB_MinRangePoints = 120; +input double NB_OrderBufferPoints = 18.0; +input bool NB_FirstTradeOnly = false; +input bool NB_AllowLong = true; +input bool NB_AllowShort = true; +input bool NB_UseTakeProfit = false; +input double NB_TakeProfitPoints = 0.0; +input ENUM_UB_RISK_MODE NB_RiskMode = UB_RISK_FIXED_LOTS; +input double NB_FixedRiskMoney = 250.0; +input double NB_RiskPercent = 0.1; +input double NB_FixedLots = 0.01; +input int NB_MagicNumber = 927103; +input int NB_Slippage = 40; +input int NB_MaxSpreadPoints = 200; +input bool NB_DrawRange = false; +input bool NB_DebugLog = false; + +input group "=== US500 Buster (US cash open range) ===" +input string U5B_Symbol = "US500"; +input int U5B_RangeStartHour = 14; +input int U5B_RangeEndHour = 16; +input int U5B_CloseHour = 21; +input ENUM_TIMEFRAMES U5B_RangeTF = PERIOD_M15; +input int U5B_MinRangePoints = 80; +input double U5B_OrderBufferPoints = 12.0; +input bool U5B_FirstTradeOnly = false; +input bool U5B_AllowLong = true; +input bool U5B_AllowShort = true; +input bool U5B_UseTakeProfit = false; +input double U5B_TakeProfitPoints = 0.0; +input ENUM_UB_RISK_MODE U5B_RiskMode = UB_RISK_FIXED_LOTS; +input double U5B_FixedRiskMoney = 250.0; +input double U5B_RiskPercent = 0.1; +input double U5B_FixedLots = 0.01; +input int U5B_MagicNumber = 927104; +input int U5B_Slippage = 35; +input int U5B_MaxSpreadPoints = 150; +input bool U5B_DrawRange = false; +input bool U5B_DebugLog = false; + +input group "=== US30 Buster (US cash open range) ===" +input string U30B_Symbol = "US30"; +input int U30B_RangeStartHour = 14; +input int U30B_RangeEndHour = 16; +input int U30B_CloseHour = 21; +input ENUM_TIMEFRAMES U30B_RangeTF = PERIOD_M15; +input int U30B_MinRangePoints = 150; +input double U30B_OrderBufferPoints = 22.0; +input bool U30B_FirstTradeOnly = false; +input bool U30B_AllowLong = true; +input bool U30B_AllowShort = true; +input bool U30B_UseTakeProfit = false; +input double U30B_TakeProfitPoints = 0.0; +input ENUM_UB_RISK_MODE U30B_RiskMode = UB_RISK_FIXED_LOTS; +input double U30B_FixedRiskMoney = 250.0; +input double U30B_RiskPercent = 0.1; +input double U30B_FixedLots = 0.01; +input int U30B_MagicNumber = 927105; +input int U30B_Slippage = 45; +input int U30B_MaxSpreadPoints = 250; +input bool U30B_DrawRange = false; +input bool U30B_DebugLog = false; + +input group "=== UK100 Buster (London open range) ===" +input string UKB_Symbol = "UK100"; +input int UKB_RangeStartHour = 8; +input int UKB_RangeEndHour = 10; +input int UKB_CloseHour = 20; +input ENUM_TIMEFRAMES UKB_RangeTF = PERIOD_M15; +input int UKB_MinRangePoints = 60; +input double UKB_OrderBufferPoints = 10.0; +input bool UKB_FirstTradeOnly = false; +input bool UKB_AllowLong = true; +input bool UKB_AllowShort = true; +input bool UKB_UseTakeProfit = false; +input double UKB_TakeProfitPoints = 0.0; +input ENUM_UB_RISK_MODE UKB_RiskMode = UB_RISK_FIXED_LOTS; +input double UKB_FixedRiskMoney = 250.0; +input double UKB_RiskPercent = 0.1; +input double UKB_FixedLots = 0.01; +input int UKB_MagicNumber = 927106; +input int UKB_Slippage = 35; +input int UKB_MaxSpreadPoints = 180; +input bool UKB_DrawRange = false; +input bool UKB_DebugLog = false; + +input group "=== XAGUSD Buster (London silver range) ===" +input string XGB_Symbol = "XAGUSD"; +input int XGB_RangeStartHour = 8; +input int XGB_RangeEndHour = 10; +input int XGB_CloseHour = 20; +input ENUM_TIMEFRAMES XGB_RangeTF = PERIOD_M15; +input int XGB_MinRangePoints = 25; +input double XGB_OrderBufferPoints = 4.0; +input bool XGB_FirstTradeOnly = false; +input bool XGB_AllowLong = true; +input bool XGB_AllowShort = true; +input bool XGB_UseTakeProfit = false; +input double XGB_TakeProfitPoints = 0.0; +input ENUM_UB_RISK_MODE XGB_RiskMode = UB_RISK_FIXED_LOTS; +input double XGB_FixedRiskMoney = 250.0; +input double XGB_RiskPercent = 0.1; +input double XGB_FixedLots = 0.01; +input int XGB_MagicNumber = 927107; +input int XGB_Slippage = 25; +input int XGB_MaxSpreadPoints = 80; +input bool XGB_DrawRange = false; +input bool XGB_DebugLog = false; + //+------------------------------------------------------------------+ //| Balance scaling: LOT_* = nominal size at ORCH_ReferenceBalance | //+------------------------------------------------------------------+ @@ -563,6 +1142,7 @@ void United_RefreshScaledLots() g_RC_LotSize = United_ScaledLot(LOT_RC_RSICrossOver); g_RM_LotSize = United_ScaledLot(LOT_RM_RSIMidPointHijack); g_Pos_RS_APPL = United_ScaledLot(LOT_RS_APPL); + g_Pos_RS_ADBE = United_ScaledLot(LOT_RS_ADBE); g_Pos_RS_BTCUSD = United_ScaledLot(LOT_RS_BTCUSD); g_Pos_RS_NVDA = United_ScaledLot(LOT_RS_NVDA); g_Pos_RS_TSLA = United_ScaledLot(LOT_RS_TSLA); @@ -576,6 +1156,28 @@ void United_RefreshScaledLots() g_Pos_ST_XAUUSD = United_ScaledLot(LOT_ST_XAUUSD); g_Pos_ST_GER40 = United_ScaledLot(LOT_ST_GER40); g_RSS_LotSize = United_ScaledLot(LOT_RSS_SecretSauce); + g_Pos_UB_USDJPY = United_ScaledLot(LOT_UB_USDJPY); + g_Pos_XBT_XAUUSD = United_ScaledLot(LOT_XBT_XAUUSD); + g_Pos_XMB_XAUUSD = United_ScaledLot(LOT_XMB_XAUUSD); + g_Pos_RRA_GBPUSD = United_ScaledLot(LOT_RRA_GBPUSD); + g_Pos_GB_GER40 = United_ScaledLot(LOT_GB_GER40); + g_Pos_RS_NAS100 = United_ScaledLot(LOT_RS_NAS100); + g_Pos_RS_US500 = United_ScaledLot(LOT_RS_US500); + g_Pos_RRA_USDCHF = United_ScaledLot(LOT_RRA_USDCHF); + g_Pos_RRA_NZDUSD = United_ScaledLot(LOT_RRA_NZDUSD); + g_Pos_NB_NAS100 = United_ScaledLot(LOT_NB_NAS100); + g_Pos_U5B_US500 = United_ScaledLot(LOT_U5B_US500); + g_Pos_RS_US30 = United_ScaledLot(LOT_RS_US30); + g_Pos_RS_XAGUSD = United_ScaledLot(LOT_RS_XAGUSD); + g_Pos_RS_EURJPY = United_ScaledLot(LOT_RS_EURJPY); + g_Pos_RS_GBPJPY = United_ScaledLot(LOT_RS_GBPJPY); + g_Pos_U30B_US30 = United_ScaledLot(LOT_U30B_US30); + g_Pos_UKB_UK100 = United_ScaledLot(LOT_UKB_UK100); + g_Pos_XGB_XAGUSD = United_ScaledLot(LOT_XGB_XAGUSD); + g_Pos_RS_F = United_ScaledLot(LOT_RS_F); + g_Pos_RS_SOFI = United_ScaledLot(LOT_RS_SOFI); + g_Pos_RS_SNAP = United_ScaledLot(LOT_RS_SNAP); + g_Pos_RS_WBD = United_ScaledLot(LOT_RS_WBD); } //+------------------------------------------------------------------+ @@ -671,11 +1273,22 @@ EMASlopeData esData; RSICrossOverData rcData; RSIMidPointData rmData; RSIScalpingData rsAPPLData; +RSIScalpingData rsADBEData; RSIScalpingData rsBTCUSDData; RSIScalpingData rsNVDAData; RSIScalpingData rsTSLAData; RSIScalpingData rsXAUUSDData; RSIScalpingData rsMUData; +RSIScalpingData rsNAS100Data; +RSIScalpingData rsUS500Data; +RSIScalpingData rsUS30Data; +RSIScalpingData rsXAGUSDData; +RSIScalpingData rsEURJPYData; +RSIScalpingData rsGBPJPYData; +RSIScalpingData rsFData; +RSIScalpingData rsSOFIData; +RSIScalpingData rsSNAPData; +RSIScalpingData rsWBDData; SuperEMAData seData; RSIConsolidationData rcoData; SimpleTrendlineData stBTCData; @@ -688,6 +1301,81 @@ RSISecretSauceOrcData rssData; //+------------------------------------------------------------------+ RSIReversalAsianData rraEURUSDData; RSIReversalAsianData rraAUDUSDData; +RSIReversalAsianData rraGBPUSDData; +RSIReversalAsianData rraUSDCHFData; +RSIReversalAsianData rraNZDUSDData; +USDJPYBusterData ubData; +USDJPYBusterData gbData; +USDJPYBusterData nbData; +USDJPYBusterData u5bData; +USDJPYBusterData u30bData; +USDJPYBusterData ukbData; +USDJPYBusterData xgbData; +XAUBearTrendData xbtData; +XAUMomentumBreakdownData xmbData; +CTrade g_gapTrade; + +void United_GapGuardSetup() +{ + GapGuardConfig cfg; + cfg.enable = GAP_Enable; + cfg.closeBeforeSessionEnd = GAP_CloseBeforeSessionEnd; + cfg.minutesBeforeClose = GAP_MinutesBeforeClose; + cfg.closeBeforeWeekend = GAP_CloseBeforeWeekend; + cfg.fridayCloseHour = GAP_FridayCloseHour; + cfg.closeOnBarGapThroughSL = GAP_CloseOnBarGapThroughSL; + cfg.minGapPoints = GAP_MinGapPoints; + cfg.equityDailyFlatHour = GAP_EquityDailyFlatHour; + GapGuard_Init(cfg); + + if(EnableDarvasBox) { GapGuard_RegisterMagic((ulong)DB_MagicNumber); GapGuard_RegisterSymbol(DB_Symbol); } + if(EnableEMASlopeDistance) { GapGuard_RegisterMagic((ulong)ES_MagicNumber); GapGuard_RegisterSymbol(ES_Symbol); } + if(EnableRSICrossOverReversal) { GapGuard_RegisterMagic((ulong)RC_MagicNumber); GapGuard_RegisterSymbol(RC_Symbol); } + if(EnableRSIMidPointHijack) + { + GapGuard_RegisterMagic((ulong)RM_InpMagicNumberRSIFollow); + GapGuard_RegisterMagic((ulong)RM_InpMagicNumberRSIReverse); + GapGuard_RegisterMagic((ulong)RM_InpMagicNumberEMACross); + GapGuard_RegisterSymbol(RM_Symbol); + } + if(EnableRSIScalpingAPPL) { GapGuard_RegisterMagic((ulong)RS_APPL_MagicNumber); GapGuard_RegisterSymbol(RS_APPL_Symbol); } + if(EnableRSIScalpingADBE) { GapGuard_RegisterMagic((ulong)RS_ADBE_MagicNumber); GapGuard_RegisterSymbol(RS_ADBE_Symbol); } + if(EnableRSIScalpingBTCUSD) { GapGuard_RegisterMagic((ulong)RS_BTCUSD_MagicNumber); GapGuard_RegisterSymbol(RS_BTCUSD_Symbol); } + if(EnableRSIScalpingNVDA) { GapGuard_RegisterMagic((ulong)RS_NVDA_MagicNumber); GapGuard_RegisterSymbol(RS_NVDA_Symbol); } + if(EnableRSIScalpingTSLA) { GapGuard_RegisterMagic((ulong)RS_TSLA_MagicNumber); GapGuard_RegisterSymbol(RS_TSLA_Symbol); } + if(EnableRSIScalpingXAUUSD) { GapGuard_RegisterMagic((ulong)RS_XAUUSD_MagicNumber); GapGuard_RegisterSymbol(RS_XAUUSD_Symbol); } + if(EnableRSIScalpingMU) { GapGuard_RegisterMagic((ulong)RS_MU_MagicNumber); GapGuard_RegisterSymbol(RS_MU_Symbol); } + if(EnableRSISecretSauce) { GapGuard_RegisterMagic((ulong)RSS_MagicNumber); GapGuard_RegisterSymbol(RSS_Symbol); } + if(EnableSuperEMA) { GapGuard_RegisterMagic((ulong)SE_MagicNumber); GapGuard_RegisterSymbol(SE_Symbol); } + if(EnableRSIConsolidation) { GapGuard_RegisterMagic(RCO_MagicNumber); GapGuard_RegisterSymbol(RCO_Symbol); } + if(EnableRSIReversalAsianEURUSD) { GapGuard_RegisterMagic((ulong)RRA_EURUSD_MagicNumber); GapGuard_RegisterSymbol(RRA_EURUSD_Symbol); } + if(EnableRSIReversalAsianAUDUSD) { GapGuard_RegisterMagic((ulong)RRA_AUDUSD_MagicNumber); GapGuard_RegisterSymbol(RRA_AUDUSD_Symbol); } + if(EnableSimpleTrendlineBTCUSD) { GapGuard_RegisterMagic(ST_BTC_MagicNumber); GapGuard_RegisterSymbol(ST_BTC_Symbol); } + if(EnableSimpleTrendlineXAUUSD) { GapGuard_RegisterMagic(ST_XAU_MagicNumber); GapGuard_RegisterSymbol(ST_XAU_Symbol); } + if(EnableSimpleTrendlineGER40) { GapGuard_RegisterMagic(ST_GER_MagicNumber); GapGuard_RegisterSymbol(ST_GER_Symbol); } + if(EnableUSDJPYBuster) { GapGuard_RegisterMagic((ulong)UB_MagicNumber); GapGuard_RegisterSymbol(UB_Symbol); } + if(EnableXAUBearTrend) { GapGuard_RegisterMagic(XBT_MagicNumber); GapGuard_RegisterSymbol(XBT_Symbol); } + if(EnableXAUMomentumBreakdown) { GapGuard_RegisterMagic(XMB_MagicNumber); GapGuard_RegisterSymbol(XMB_Symbol); } + if(EnableRSIReversalAsianGBPUSD) { GapGuard_RegisterMagic((ulong)RRA_GBPUSD_MagicNumber); GapGuard_RegisterSymbol(RRA_GBPUSD_Symbol); } + if(EnableGER40Buster) { GapGuard_RegisterMagic((ulong)GB_MagicNumber); GapGuard_RegisterSymbol(GB_Symbol); } + if(EnableRSIScalpingNAS100) { GapGuard_RegisterMagic((ulong)RS_NAS100_MagicNumber); GapGuard_RegisterSymbol(RS_NAS100_Symbol); } + if(EnableRSIScalpingUS500) { GapGuard_RegisterMagic((ulong)RS_US500_MagicNumber); GapGuard_RegisterSymbol(RS_US500_Symbol); } + if(EnableRSIReversalAsianUSDCHF) { GapGuard_RegisterMagic((ulong)RRA_USDCHF_MagicNumber); GapGuard_RegisterSymbol(RRA_USDCHF_Symbol); } + if(EnableRSIReversalAsianNZDUSD) { GapGuard_RegisterMagic((ulong)RRA_NZDUSD_MagicNumber); GapGuard_RegisterSymbol(RRA_NZDUSD_Symbol); } + if(EnableNAS100Buster) { GapGuard_RegisterMagic((ulong)NB_MagicNumber); GapGuard_RegisterSymbol(NB_Symbol); } + if(EnableUS500Buster) { GapGuard_RegisterMagic((ulong)U5B_MagicNumber); GapGuard_RegisterSymbol(U5B_Symbol); } + if(EnableRSIScalpingUS30) { GapGuard_RegisterMagic((ulong)RS_US30_MagicNumber); GapGuard_RegisterSymbol(RS_US30_Symbol); } + if(EnableRSIScalpingXAGUSD) { GapGuard_RegisterMagic((ulong)RS_XAGUSD_MagicNumber); GapGuard_RegisterSymbol(RS_XAGUSD_Symbol); } + if(EnableRSIScalpingEURJPY) { GapGuard_RegisterMagic((ulong)RS_EURJPY_MagicNumber); GapGuard_RegisterSymbol(RS_EURJPY_Symbol); } + if(EnableRSIScalpingGBPJPY) { GapGuard_RegisterMagic((ulong)RS_GBPJPY_MagicNumber); GapGuard_RegisterSymbol(RS_GBPJPY_Symbol); } + if(EnableUS30Buster) { GapGuard_RegisterMagic((ulong)U30B_MagicNumber); GapGuard_RegisterSymbol(U30B_Symbol); } + if(EnableUK100Buster) { GapGuard_RegisterMagic((ulong)UKB_MagicNumber); GapGuard_RegisterSymbol(UKB_Symbol); } + if(EnableXAGUSDBuster) { GapGuard_RegisterMagic((ulong)XGB_MagicNumber); GapGuard_RegisterSymbol(XGB_Symbol); } + if(EnableRSIScalpingF) { GapGuard_RegisterMagic((ulong)RS_F_MagicNumber); GapGuard_RegisterSymbol(RS_F_Symbol); } + if(EnableRSIScalpingSOFI) { GapGuard_RegisterMagic((ulong)RS_SOFI_MagicNumber); GapGuard_RegisterSymbol(RS_SOFI_Symbol); } + if(EnableRSIScalpingSNAP) { GapGuard_RegisterMagic((ulong)RS_SNAP_MagicNumber); GapGuard_RegisterSymbol(RS_SNAP_Symbol); } + if(EnableRSIScalpingWBD) { GapGuard_RegisterMagic((ulong)RS_WBD_MagicNumber); GapGuard_RegisterSymbol(RS_WBD_Symbol); } +} //+------------------------------------------------------------------+ //| Expert initialization function | @@ -697,6 +1385,7 @@ int OnInit() int initResult = INIT_SUCCEEDED; United_RefreshScaledLots(); + United_GapGuardSetup(); // Initialize strategies - log warnings but don't fail entire EA if symbol unavailable if(EnableDarvasBox) @@ -718,6 +1407,9 @@ int OnInit() // Initialize RSI Scalping strategies - don't fail entire EA if symbol unavailable if(EnableRSIScalpingAPPL) InitRSIScalping(rsAPPLData, RS_APPL_Symbol, RS_APPL_TimeFrame, RS_APPL_RSI_Period, RS_APPL_RSI_Applied_Price, RS_APPL_MagicNumber, RS_APPL_Slippage); + + if(EnableRSIScalpingADBE) + InitRSIScalping(rsADBEData, RS_ADBE_Symbol, RS_ADBE_TimeFrame, RS_ADBE_RSI_Period, RS_ADBE_RSI_Applied_Price, RS_ADBE_MagicNumber, RS_ADBE_Slippage); if(EnableRSIScalpingBTCUSD) InitRSIScalping(rsBTCUSDData, RS_BTCUSD_Symbol, RS_BTCUSD_TimeFrame, RS_BTCUSD_RSI_Period, RS_BTCUSD_RSI_Applied_Price, RS_BTCUSD_MagicNumber, RS_BTCUSD_Slippage); @@ -733,6 +1425,33 @@ int OnInit() if(EnableRSIScalpingMU) InitRSIScalping(rsMUData, RS_MU_Symbol, RS_MU_TimeFrame, RS_MU_RSI_Period, RS_MU_RSI_Applied_Price, RS_MU_MagicNumber, RS_MU_Slippage); + if(EnableRSIScalpingNAS100) + InitRSIScalping(rsNAS100Data, RS_NAS100_Symbol, RS_NAS100_TimeFrame, RS_NAS100_RSI_Period, RS_NAS100_RSI_Applied_Price, RS_NAS100_MagicNumber, RS_NAS100_Slippage); + + if(EnableRSIScalpingUS500) + InitRSIScalping(rsUS500Data, RS_US500_Symbol, RS_US500_TimeFrame, RS_US500_RSI_Period, RS_US500_RSI_Applied_Price, RS_US500_MagicNumber, RS_US500_Slippage); + + if(EnableRSIScalpingUS30) + InitRSIScalping(rsUS30Data, RS_US30_Symbol, RS_US30_TimeFrame, RS_US30_RSI_Period, RS_US30_RSI_Applied_Price, RS_US30_MagicNumber, RS_US30_Slippage); + + if(EnableRSIScalpingXAGUSD) + InitRSIScalping(rsXAGUSDData, RS_XAGUSD_Symbol, RS_XAGUSD_TimeFrame, RS_XAGUSD_RSI_Period, RS_XAGUSD_RSI_Applied_Price, RS_XAGUSD_MagicNumber, RS_XAGUSD_Slippage); + + if(EnableRSIScalpingEURJPY) + InitRSIScalping(rsEURJPYData, RS_EURJPY_Symbol, RS_EURJPY_TimeFrame, RS_EURJPY_RSI_Period, RS_EURJPY_RSI_Applied_Price, RS_EURJPY_MagicNumber, RS_EURJPY_Slippage); + + if(EnableRSIScalpingGBPJPY) + InitRSIScalping(rsGBPJPYData, RS_GBPJPY_Symbol, RS_GBPJPY_TimeFrame, RS_GBPJPY_RSI_Period, RS_GBPJPY_RSI_Applied_Price, RS_GBPJPY_MagicNumber, RS_GBPJPY_Slippage); + + if(EnableRSIScalpingF) + InitRSIScalping(rsFData, RS_F_Symbol, RS_F_TimeFrame, RS_F_RSI_Period, RS_F_RSI_Applied_Price, RS_F_MagicNumber, RS_F_Slippage); + if(EnableRSIScalpingSOFI) + InitRSIScalping(rsSOFIData, RS_SOFI_Symbol, RS_SOFI_TimeFrame, RS_SOFI_RSI_Period, RS_SOFI_RSI_Applied_Price, RS_SOFI_MagicNumber, RS_SOFI_Slippage); + if(EnableRSIScalpingSNAP) + InitRSIScalping(rsSNAPData, RS_SNAP_Symbol, RS_SNAP_TimeFrame, RS_SNAP_RSI_Period, RS_SNAP_RSI_Applied_Price, RS_SNAP_MagicNumber, RS_SNAP_Slippage); + if(EnableRSIScalpingWBD) + InitRSIScalping(rsWBDData, RS_WBD_Symbol, RS_WBD_TimeFrame, RS_WBD_RSI_Period, RS_WBD_RSI_Applied_Price, RS_WBD_MagicNumber, RS_WBD_Slippage); + if(EnableRSISecretSauce) if(!InitRSISecretSauce(rssData, RSS_Symbol)) Print("Warning: RSI Secret Sauce failed to initialize for symbol '", RSS_Symbol, "'"); @@ -790,6 +1509,153 @@ int OnInit() ST_GER_MAMethod, ST_GER_AppliedPrice, ST_GER_HTFBarsToScan, ST_GER_LineTouchTolerance, ST_GER_BreakBuffer, ST_GER_MagicNumber, ST_GER_DrawTrendline)) Print("Warning: SimpleTrendlineGER40 failed to initialize for symbol '", ST_GER_Symbol, "'"); + + if(EnableUSDJPYBuster) + if(!InitUSDJPYBuster(ubData, UB_Symbol, + UB_RangeStartHour, UB_RangeEndHour, UB_CloseHour, UB_RangeTF, + UB_MinRangePoints, UB_OrderBufferPoints, + UB_FirstTradeOnly, UB_AllowLong, UB_AllowShort, + UB_UseTakeProfit, UB_TakeProfitPoints, + UB_RiskMode, UB_FixedRiskMoney, UB_RiskPercent, UB_FixedLots, + UB_MagicNumber, UB_Slippage, UB_MaxSpreadPoints, UB_DrawRange, UB_DebugLog)) + Print("Warning: USDJPYBuster failed to initialize for symbol '", UB_Symbol, "'"); + + if(EnableXAUBearTrend) + if(!InitXAUBearTrend(xbtData, XBT_Symbol, XBT_RegimeTF, XBT_EntryTF, + XBT_RegimeEmaPeriod, XBT_RsiPeriod, XBT_RsiArmLevel, XBT_RsiTriggerLevel, + XBT_AtrPeriod, XBT_SlAtrMult, XBT_TpAtrMult, + XBT_UseTrailing, XBT_TrailAtrMult, + XBT_MagicNumber, XBT_Slippage, XBT_MaxSpreadPoints)) + Print("Warning: XAUBearTrend failed to initialize for symbol '", XBT_Symbol, "'"); + + if(EnableXAUMomentumBreakdown) + if(!InitXAUMomentumBreakdown(xmbData, XMB_Symbol, XMB_RegimeTF, XMB_EntryTF, + XMB_RegimeEmaPeriod, XMB_BbPeriod, XMB_BbDeviation, XMB_AtrPeriod, + XMB_SlAtrMult, XMB_TpAtrMult, XMB_UseTrailing, XMB_TrailAtrMult, + XMB_MagicNumber, XMB_Slippage, XMB_MaxSpreadPoints)) + Print("Warning: XAUMomentumBreakdown failed to initialize for symbol '", XMB_Symbol, "'"); + + if(EnableRSIReversalAsianGBPUSD) + if(!InitRSIReversalAsian(rraGBPUSDData, RRA_GBPUSD_Symbol, RRA_GBPUSD_RSIPeriod, RRA_GBPUSD_OverboughtLevel, RRA_GBPUSD_OversoldLevel, + RRA_GBPUSD_TakeProfitPips, RRA_GBPUSD_StopLossPips, LOT_RRA_GBPUSD, + RRA_GBPUSD_MaxSpread, RRA_GBPUSD_MaxDuration, RRA_GBPUSD_UseStopLoss, + RRA_GBPUSD_UseTakeProfit, RRA_GBPUSD_UseRSIExit, RRA_GBPUSD_RSIExitLevel, + RRA_GBPUSD_CloseOutsideSession, RRA_GBPUSD_TimeFrame, RRA_GBPUSD_MagicNumber, RRA_GBPUSD_Slippage)) + Print("Warning: RSIReversalAsianGBPUSD strategy failed to initialize for symbol '", RRA_GBPUSD_Symbol, "'"); + + if(EnableGER40Buster) + if(!InitUSDJPYBuster(gbData, GB_Symbol, + GB_RangeStartHour, GB_RangeEndHour, GB_CloseHour, GB_RangeTF, + GB_MinRangePoints, GB_OrderBufferPoints, + GB_FirstTradeOnly, GB_AllowLong, GB_AllowShort, + GB_UseTakeProfit, GB_TakeProfitPoints, + GB_RiskMode, GB_FixedRiskMoney, GB_RiskPercent, GB_FixedLots, + GB_MagicNumber, GB_Slippage, GB_MaxSpreadPoints, GB_DrawRange, GB_DebugLog)) + Print("Warning: GER40Buster failed to initialize for symbol '", GB_Symbol, "'"); + + if(EnableRSIReversalAsianUSDCHF) + if(!InitRSIReversalAsian(rraUSDCHFData, RRA_USDCHF_Symbol, RRA_USDCHF_RSIPeriod, RRA_USDCHF_OverboughtLevel, RRA_USDCHF_OversoldLevel, + RRA_USDCHF_TakeProfitPips, RRA_USDCHF_StopLossPips, LOT_RRA_USDCHF, + RRA_USDCHF_MaxSpread, RRA_USDCHF_MaxDuration, RRA_USDCHF_UseStopLoss, + RRA_USDCHF_UseTakeProfit, RRA_USDCHF_UseRSIExit, RRA_USDCHF_RSIExitLevel, + RRA_USDCHF_CloseOutsideSession, RRA_USDCHF_TimeFrame, RRA_USDCHF_MagicNumber, RRA_USDCHF_Slippage)) + Print("Warning: RSIReversalAsianUSDCHF strategy failed to initialize for symbol '", RRA_USDCHF_Symbol, "'"); + + if(EnableRSIReversalAsianNZDUSD) + if(!InitRSIReversalAsian(rraNZDUSDData, RRA_NZDUSD_Symbol, RRA_NZDUSD_RSIPeriod, RRA_NZDUSD_OverboughtLevel, RRA_NZDUSD_OversoldLevel, + RRA_NZDUSD_TakeProfitPips, RRA_NZDUSD_StopLossPips, LOT_RRA_NZDUSD, + RRA_NZDUSD_MaxSpread, RRA_NZDUSD_MaxDuration, RRA_NZDUSD_UseStopLoss, + RRA_NZDUSD_UseTakeProfit, RRA_NZDUSD_UseRSIExit, RRA_NZDUSD_RSIExitLevel, + RRA_NZDUSD_CloseOutsideSession, RRA_NZDUSD_TimeFrame, RRA_NZDUSD_MagicNumber, RRA_NZDUSD_Slippage)) + Print("Warning: RSIReversalAsianNZDUSD strategy failed to initialize for symbol '", RRA_NZDUSD_Symbol, "'"); + + if(EnableNAS100Buster) + if(!InitUSDJPYBuster(nbData, NB_Symbol, + NB_RangeStartHour, NB_RangeEndHour, NB_CloseHour, NB_RangeTF, + NB_MinRangePoints, NB_OrderBufferPoints, + NB_FirstTradeOnly, NB_AllowLong, NB_AllowShort, + NB_UseTakeProfit, NB_TakeProfitPoints, + NB_RiskMode, NB_FixedRiskMoney, NB_RiskPercent, NB_FixedLots, + NB_MagicNumber, NB_Slippage, NB_MaxSpreadPoints, NB_DrawRange, NB_DebugLog)) + Print("Warning: NAS100Buster failed to initialize for symbol '", NB_Symbol, "'"); + + if(EnableUS500Buster) + if(!InitUSDJPYBuster(u5bData, U5B_Symbol, + U5B_RangeStartHour, U5B_RangeEndHour, U5B_CloseHour, U5B_RangeTF, + U5B_MinRangePoints, U5B_OrderBufferPoints, + U5B_FirstTradeOnly, U5B_AllowLong, U5B_AllowShort, + U5B_UseTakeProfit, U5B_TakeProfitPoints, + U5B_RiskMode, U5B_FixedRiskMoney, U5B_RiskPercent, U5B_FixedLots, + U5B_MagicNumber, U5B_Slippage, U5B_MaxSpreadPoints, U5B_DrawRange, U5B_DebugLog)) + Print("Warning: US500Buster failed to initialize for symbol '", U5B_Symbol, "'"); + + if(EnableUS30Buster) + if(!InitUSDJPYBuster(u30bData, U30B_Symbol, + U30B_RangeStartHour, U30B_RangeEndHour, U30B_CloseHour, U30B_RangeTF, + U30B_MinRangePoints, U30B_OrderBufferPoints, + U30B_FirstTradeOnly, U30B_AllowLong, U30B_AllowShort, + U30B_UseTakeProfit, U30B_TakeProfitPoints, + U30B_RiskMode, U30B_FixedRiskMoney, U30B_RiskPercent, U30B_FixedLots, + U30B_MagicNumber, U30B_Slippage, U30B_MaxSpreadPoints, U30B_DrawRange, U30B_DebugLog)) + Print("Warning: US30Buster failed to initialize for symbol '", U30B_Symbol, "'"); + + if(EnableUK100Buster) + if(!InitUSDJPYBuster(ukbData, UKB_Symbol, + UKB_RangeStartHour, UKB_RangeEndHour, UKB_CloseHour, UKB_RangeTF, + UKB_MinRangePoints, UKB_OrderBufferPoints, + UKB_FirstTradeOnly, UKB_AllowLong, UKB_AllowShort, + UKB_UseTakeProfit, UKB_TakeProfitPoints, + UKB_RiskMode, UKB_FixedRiskMoney, UKB_RiskPercent, UKB_FixedLots, + UKB_MagicNumber, UKB_Slippage, UKB_MaxSpreadPoints, UKB_DrawRange, UKB_DebugLog)) + Print("Warning: UK100Buster failed to initialize for symbol '", UKB_Symbol, "'"); + + if(EnableXAGUSDBuster) + if(!InitUSDJPYBuster(xgbData, XGB_Symbol, + XGB_RangeStartHour, XGB_RangeEndHour, XGB_CloseHour, XGB_RangeTF, + XGB_MinRangePoints, XGB_OrderBufferPoints, + XGB_FirstTradeOnly, XGB_AllowLong, XGB_AllowShort, + XGB_UseTakeProfit, XGB_TakeProfitPoints, + XGB_RiskMode, XGB_FixedRiskMoney, XGB_RiskPercent, XGB_FixedLots, + XGB_MagicNumber, XGB_Slippage, XGB_MaxSpreadPoints, XGB_DrawRange, XGB_DebugLog)) + Print("Warning: XAGUSDBuster failed to initialize for symbol '", XGB_Symbol, "'"); + + rsAPPLData.closeUnprofitableOnNewSignal = RS_APPL_CloseUnprofitableOnNewSignal; + rsADBEData.closeUnprofitableOnNewSignal = RS_ADBE_CloseUnprofitableOnNewSignal; + rsBTCUSDData.closeUnprofitableOnNewSignal = RS_BTCUSD_CloseUnprofitableOnNewSignal; + rsNVDAData.closeUnprofitableOnNewSignal = RS_NVDA_CloseUnprofitableOnNewSignal; + rsTSLAData.closeUnprofitableOnNewSignal = RS_TSLA_CloseUnprofitableOnNewSignal; + rsXAUUSDData.closeUnprofitableOnNewSignal = RS_XAUUSD_CloseUnprofitableOnNewSignal; + rsMUData.closeUnprofitableOnNewSignal = RS_MU_CloseUnprofitableOnNewSignal; + rsNAS100Data.closeUnprofitableOnNewSignal = RS_NAS100_CloseUnprofitableOnNewSignal; + rsUS500Data.closeUnprofitableOnNewSignal = RS_US500_CloseUnprofitableOnNewSignal; + rsUS30Data.closeUnprofitableOnNewSignal = RS_US30_CloseUnprofitableOnNewSignal; + rsXAGUSDData.closeUnprofitableOnNewSignal = RS_XAGUSD_CloseUnprofitableOnNewSignal; + rsEURJPYData.closeUnprofitableOnNewSignal = RS_EURJPY_CloseUnprofitableOnNewSignal; + rsGBPJPYData.closeUnprofitableOnNewSignal = RS_GBPJPY_CloseUnprofitableOnNewSignal; + rsFData.closeUnprofitableOnNewSignal = RS_F_CloseUnprofitableOnNewSignal; + rsSOFIData.closeUnprofitableOnNewSignal = RS_SOFI_CloseUnprofitableOnNewSignal; + rsSNAPData.closeUnprofitableOnNewSignal = RS_SNAP_CloseUnprofitableOnNewSignal; + rsWBDData.closeUnprofitableOnNewSignal = RS_WBD_CloseUnprofitableOnNewSignal; + rraEURUSDData.closeUnprofitableOnNewSignal = RRA_EURUSD_CloseUnprofitableOnNewSignal; + rraAUDUSDData.closeUnprofitableOnNewSignal = RRA_AUDUSD_CloseUnprofitableOnNewSignal; + seData.closeUnprofitableOnNewSignal = SE_CloseUnprofitableOnNewSignal; + rcoData.closeUnprofitableOnNewSignal = RCO_CloseUnprofitableOnNewSignal; + stBTCData.closeUnprofitableOnNewSignal = ST_BTC_CloseUnprofitableOnNewSignal; + stXAUData.closeUnprofitableOnNewSignal = ST_XAU_CloseUnprofitableOnNewSignal; + stGERData.closeUnprofitableOnNewSignal = ST_GER_CloseUnprofitableOnNewSignal; + rssData.closeUnprofitableOnNewSignal = RSS_CloseUnprofitableOnNewSignal; + ubData.closeUnprofitableOnNewSignal = UB_CloseUnprofitableOnNewSignal; + xbtData.closeUnprofitableOnNewSignal = XBT_CloseUnprofitableOnNewSignal; + xmbData.closeUnprofitableOnNewSignal = XMB_CloseUnprofitableOnNewSignal; + rraGBPUSDData.closeUnprofitableOnNewSignal = RRA_GBPUSD_CloseUnprofitableOnNewSignal; + gbData.closeUnprofitableOnNewSignal = GB_CloseUnprofitableOnNewSignal; + rraUSDCHFData.closeUnprofitableOnNewSignal = RRA_USDCHF_CloseUnprofitableOnNewSignal; + rraNZDUSDData.closeUnprofitableOnNewSignal = RRA_NZDUSD_CloseUnprofitableOnNewSignal; + nbData.closeUnprofitableOnNewSignal = NB_CloseUnprofitableOnNewSignal; + u5bData.closeUnprofitableOnNewSignal = U5B_CloseUnprofitableOnNewSignal; + u30bData.closeUnprofitableOnNewSignal = U30B_CloseUnprofitableOnNewSignal; + ukbData.closeUnprofitableOnNewSignal = UKB_CloseUnprofitableOnNewSignal; + xgbData.closeUnprofitableOnNewSignal = XGB_CloseUnprofitableOnNewSignal; Print("United EA initialized. Active strategies: ", (EnableDarvasBox ? "DarvasBox " : ""), @@ -797,6 +1663,7 @@ int OnInit() (EnableRSICrossOverReversal ? "RSICrossOver " : ""), (EnableRSIMidPointHijack ? "RSIMidPoint " : ""), (EnableRSIScalpingAPPL ? "RSIScalpingAPPL " : ""), + (EnableRSIScalpingADBE ? "RSIScalpingADBE " : ""), (EnableRSIScalpingBTCUSD ? "RSIScalpingBTCUSD " : ""), (EnableRSIScalpingNVDA ? "RSIScalpingNVDA " : ""), (EnableRSIScalpingTSLA ? "RSIScalpingTSLA " : ""), @@ -809,7 +1676,29 @@ int OnInit() (EnableRSIReversalAsianAUDUSD ? "RSIReversalAsianAUDUSD " : ""), (EnableSimpleTrendlineBTCUSD ? "SimpleTrendlineBTCUSD " : ""), (EnableSimpleTrendlineXAUUSD ? "SimpleTrendlineXAUUSD " : ""), - (EnableSimpleTrendlineGER40 ? "SimpleTrendlineGER40 " : "")); + (EnableSimpleTrendlineGER40 ? "SimpleTrendlineGER40 " : ""), + (EnableUSDJPYBuster ? "USDJPYBuster " : ""), + (EnableXAUBearTrend ? "XAUBearTrend " : ""), + (EnableXAUMomentumBreakdown ? "XAUMomentumBreakdown " : ""), + (EnableRSIReversalAsianGBPUSD ? "RSIReversalAsianGBPUSD " : ""), + (EnableGER40Buster ? "GER40Buster " : ""), + (EnableRSIScalpingNAS100 ? "RSIScalpingNAS100 " : ""), + (EnableRSIScalpingUS500 ? "RSIScalpingUS500 " : ""), + (EnableRSIReversalAsianUSDCHF ? "RSIReversalAsianUSDCHF " : ""), + (EnableRSIReversalAsianNZDUSD ? "RSIReversalAsianNZDUSD " : ""), + (EnableNAS100Buster ? "NAS100Buster " : ""), + (EnableUS500Buster ? "US500Buster " : ""), + (EnableRSIScalpingUS30 ? "RSIScalpingUS30 " : ""), + (EnableRSIScalpingXAGUSD ? "RSIScalpingXAGUSD " : ""), + (EnableRSIScalpingEURJPY ? "RSIScalpingEURJPY " : ""), + (EnableRSIScalpingGBPJPY ? "RSIScalpingGBPJPY " : ""), + (EnableUS30Buster ? "US30Buster " : ""), + (EnableUK100Buster ? "UK100Buster " : ""), + (EnableXAGUSDBuster ? "XAGUSDBuster " : ""), + (EnableRSIScalpingF ? "RSIScalpingF " : ""), + (EnableRSIScalpingSOFI ? "RSIScalpingSOFI " : ""), + (EnableRSIScalpingSNAP ? "RSIScalpingSNAP " : ""), + (EnableRSIScalpingWBD ? "RSIScalpingWBD " : "")); return initResult; } @@ -833,6 +1722,9 @@ void OnDeinit(const int reason) if(EnableRSIScalpingAPPL) DeinitRSIScalping(rsAPPLData); + + if(EnableRSIScalpingADBE) + DeinitRSIScalping(rsADBEData); if(EnableRSIScalpingBTCUSD) DeinitRSIScalping(rsBTCUSDData); @@ -847,6 +1739,26 @@ void OnDeinit(const int reason) DeinitRSIScalping(rsXAUUSDData); if(EnableRSIScalpingMU) DeinitRSIScalping(rsMUData); + if(EnableRSIScalpingNAS100) + DeinitRSIScalping(rsNAS100Data); + if(EnableRSIScalpingUS500) + DeinitRSIScalping(rsUS500Data); + if(EnableRSIScalpingUS30) + DeinitRSIScalping(rsUS30Data); + if(EnableRSIScalpingXAGUSD) + DeinitRSIScalping(rsXAGUSDData); + if(EnableRSIScalpingEURJPY) + DeinitRSIScalping(rsEURJPYData); + if(EnableRSIScalpingGBPJPY) + DeinitRSIScalping(rsGBPJPYData); + if(EnableRSIScalpingF) + DeinitRSIScalping(rsFData); + if(EnableRSIScalpingSOFI) + DeinitRSIScalping(rsSOFIData); + if(EnableRSIScalpingSNAP) + DeinitRSIScalping(rsSNAPData); + if(EnableRSIScalpingWBD) + DeinitRSIScalping(rsWBDData); if(EnableRSISecretSauce) DeinitRSISecretSauce(rssData); @@ -869,6 +1781,42 @@ void OnDeinit(const int reason) DeinitSimpleTrendline(stXAUData); if(EnableSimpleTrendlineGER40) DeinitSimpleTrendline(stGERData); + + if(EnableUSDJPYBuster) + DeinitUSDJPYBuster(ubData); + + if(EnableXAUBearTrend) + DeinitXAUBearTrend(xbtData); + + if(EnableXAUMomentumBreakdown) + DeinitXAUMomentumBreakdown(xmbData); + + if(EnableRSIReversalAsianGBPUSD) + DeinitRSIReversalAsian(rraGBPUSDData); + + if(EnableGER40Buster) + DeinitUSDJPYBuster(gbData); + + if(EnableRSIReversalAsianUSDCHF) + DeinitRSIReversalAsian(rraUSDCHFData); + + if(EnableRSIReversalAsianNZDUSD) + DeinitRSIReversalAsian(rraNZDUSDData); + + if(EnableNAS100Buster) + DeinitUSDJPYBuster(nbData); + + if(EnableUS500Buster) + DeinitUSDJPYBuster(u5bData); + + if(EnableUS30Buster) + DeinitUSDJPYBuster(u30bData); + + if(EnableUK100Buster) + DeinitUSDJPYBuster(ukbData); + + if(EnableXAGUSDBuster) + DeinitUSDJPYBuster(xgbData); Print("United EA deinitialized. Reason: ", reason); } @@ -879,6 +1827,7 @@ void OnDeinit(const int reason) void OnTick() { United_RefreshScaledLots(); + United_ProcessGapGuard(g_gapTrade); if(EnableDarvasBox) ProcessDarvasBox(DB_Symbol); @@ -899,6 +1848,14 @@ void OnTick() false, RS_ReversalATRPeriod, RS_ReversalAdverseAtrMult, RS_ReversalSignsRequired, RS_ReversalRsiVelocity, RS_ReversalBodyAtrMult, RS_APPL_UseTrailingStop, RS_APPL_TrailDistancePoints, RS_APPL_TrailActivationPoints); + + if(EnableRSIScalpingADBE) + ProcessRSIScalping(rsADBEData, RS_ADBE_Symbol, RS_ADBE_TimeFrame, RS_ADBE_RSI_Period, RS_ADBE_RSI_Applied_Price, + RS_ADBE_RSI_Overbought, RS_ADBE_RSI_Oversold, RS_ADBE_RSI_Target_Buy, RS_ADBE_RSI_Target_Sell, + RS_ADBE_BarsToWait, g_Pos_RS_ADBE, RS_ADBE_MagicNumber, + false, RS_ReversalATRPeriod, RS_ReversalAdverseAtrMult, RS_ReversalSignsRequired, + RS_ReversalRsiVelocity, RS_ReversalBodyAtrMult, + RS_ADBE_UseTrailingStop, RS_ADBE_TrailDistancePoints, RS_ADBE_TrailActivationPoints); if(EnableRSIScalpingBTCUSD) ProcessRSIScalping(rsBTCUSDData, RS_BTCUSD_Symbol, RS_BTCUSD_TimeFrame, RS_BTCUSD_RSI_Period, RS_BTCUSD_RSI_Applied_Price, @@ -939,6 +1896,83 @@ void OnTick() RS_ReversalRsiVelocity, RS_ReversalBodyAtrMult, false, 0.0, 0.0); + if(EnableRSIScalpingNAS100) + ProcessRSIScalping(rsNAS100Data, RS_NAS100_Symbol, RS_NAS100_TimeFrame, RS_NAS100_RSI_Period, RS_NAS100_RSI_Applied_Price, + RS_NAS100_RSI_Overbought, RS_NAS100_RSI_Oversold, RS_NAS100_RSI_Target_Buy, RS_NAS100_RSI_Target_Sell, + RS_NAS100_BarsToWait, g_Pos_RS_NAS100, RS_NAS100_MagicNumber, + false, RS_ReversalATRPeriod, RS_ReversalAdverseAtrMult, RS_ReversalSignsRequired, + RS_ReversalRsiVelocity, RS_ReversalBodyAtrMult, + RS_NAS100_UseTrailingStop, RS_NAS100_TrailDistancePoints, RS_NAS100_TrailActivationPoints); + + if(EnableRSIScalpingUS500) + ProcessRSIScalping(rsUS500Data, RS_US500_Symbol, RS_US500_TimeFrame, RS_US500_RSI_Period, RS_US500_RSI_Applied_Price, + RS_US500_RSI_Overbought, RS_US500_RSI_Oversold, RS_US500_RSI_Target_Buy, RS_US500_RSI_Target_Sell, + RS_US500_BarsToWait, g_Pos_RS_US500, RS_US500_MagicNumber, + false, RS_ReversalATRPeriod, RS_ReversalAdverseAtrMult, RS_ReversalSignsRequired, + RS_ReversalRsiVelocity, RS_ReversalBodyAtrMult, + RS_US500_UseTrailingStop, RS_US500_TrailDistancePoints, RS_US500_TrailActivationPoints); + + if(EnableRSIScalpingUS30) + ProcessRSIScalping(rsUS30Data, RS_US30_Symbol, RS_US30_TimeFrame, RS_US30_RSI_Period, RS_US30_RSI_Applied_Price, + RS_US30_RSI_Overbought, RS_US30_RSI_Oversold, RS_US30_RSI_Target_Buy, RS_US30_RSI_Target_Sell, + RS_US30_BarsToWait, g_Pos_RS_US30, RS_US30_MagicNumber, + false, RS_ReversalATRPeriod, RS_ReversalAdverseAtrMult, RS_ReversalSignsRequired, + RS_ReversalRsiVelocity, RS_ReversalBodyAtrMult, + RS_US30_UseTrailingStop, RS_US30_TrailDistancePoints, RS_US30_TrailActivationPoints); + + if(EnableRSIScalpingXAGUSD) + ProcessRSIScalping(rsXAGUSDData, RS_XAGUSD_Symbol, RS_XAGUSD_TimeFrame, RS_XAGUSD_RSI_Period, RS_XAGUSD_RSI_Applied_Price, + RS_XAGUSD_RSI_Overbought, RS_XAGUSD_RSI_Oversold, RS_XAGUSD_RSI_Target_Buy, RS_XAGUSD_RSI_Target_Sell, + RS_XAGUSD_BarsToWait, g_Pos_RS_XAGUSD, RS_XAGUSD_MagicNumber, + false, RS_ReversalATRPeriod, RS_ReversalAdverseAtrMult, RS_ReversalSignsRequired, + RS_ReversalRsiVelocity, RS_ReversalBodyAtrMult, + RS_XAGUSD_UseTrailingStop, RS_XAGUSD_TrailDistancePoints, RS_XAGUSD_TrailActivationPoints); + + if(EnableRSIScalpingEURJPY) + ProcessRSIScalping(rsEURJPYData, RS_EURJPY_Symbol, RS_EURJPY_TimeFrame, RS_EURJPY_RSI_Period, RS_EURJPY_RSI_Applied_Price, + RS_EURJPY_RSI_Overbought, RS_EURJPY_RSI_Oversold, RS_EURJPY_RSI_Target_Buy, RS_EURJPY_RSI_Target_Sell, + RS_EURJPY_BarsToWait, g_Pos_RS_EURJPY, RS_EURJPY_MagicNumber, + false, RS_ReversalATRPeriod, RS_ReversalAdverseAtrMult, RS_ReversalSignsRequired, + RS_ReversalRsiVelocity, RS_ReversalBodyAtrMult, + RS_EURJPY_UseTrailingStop, RS_EURJPY_TrailDistancePoints, RS_EURJPY_TrailActivationPoints); + + if(EnableRSIScalpingGBPJPY) + ProcessRSIScalping(rsGBPJPYData, RS_GBPJPY_Symbol, RS_GBPJPY_TimeFrame, RS_GBPJPY_RSI_Period, RS_GBPJPY_RSI_Applied_Price, + RS_GBPJPY_RSI_Overbought, RS_GBPJPY_RSI_Oversold, RS_GBPJPY_RSI_Target_Buy, RS_GBPJPY_RSI_Target_Sell, + RS_GBPJPY_BarsToWait, g_Pos_RS_GBPJPY, RS_GBPJPY_MagicNumber, + false, RS_ReversalATRPeriod, RS_ReversalAdverseAtrMult, RS_ReversalSignsRequired, + RS_ReversalRsiVelocity, RS_ReversalBodyAtrMult, + RS_GBPJPY_UseTrailingStop, RS_GBPJPY_TrailDistancePoints, RS_GBPJPY_TrailActivationPoints); + + if(EnableRSIScalpingF) + ProcessRSIScalping(rsFData, RS_F_Symbol, RS_F_TimeFrame, RS_F_RSI_Period, RS_F_RSI_Applied_Price, + RS_F_RSI_Overbought, RS_F_RSI_Oversold, RS_F_RSI_Target_Buy, RS_F_RSI_Target_Sell, + RS_F_BarsToWait, g_Pos_RS_F, RS_F_MagicNumber, + false, RS_ReversalATRPeriod, RS_ReversalAdverseAtrMult, RS_ReversalSignsRequired, + RS_ReversalRsiVelocity, RS_ReversalBodyAtrMult, + RS_F_UseTrailingStop, RS_F_TrailDistancePoints, RS_F_TrailActivationPoints); + if(EnableRSIScalpingSOFI) + ProcessRSIScalping(rsSOFIData, RS_SOFI_Symbol, RS_SOFI_TimeFrame, RS_SOFI_RSI_Period, RS_SOFI_RSI_Applied_Price, + RS_SOFI_RSI_Overbought, RS_SOFI_RSI_Oversold, RS_SOFI_RSI_Target_Buy, RS_SOFI_RSI_Target_Sell, + RS_SOFI_BarsToWait, g_Pos_RS_SOFI, RS_SOFI_MagicNumber, + false, RS_ReversalATRPeriod, RS_ReversalAdverseAtrMult, RS_ReversalSignsRequired, + RS_ReversalRsiVelocity, RS_ReversalBodyAtrMult, + RS_SOFI_UseTrailingStop, RS_SOFI_TrailDistancePoints, RS_SOFI_TrailActivationPoints); + if(EnableRSIScalpingSNAP) + ProcessRSIScalping(rsSNAPData, RS_SNAP_Symbol, RS_SNAP_TimeFrame, RS_SNAP_RSI_Period, RS_SNAP_RSI_Applied_Price, + RS_SNAP_RSI_Overbought, RS_SNAP_RSI_Oversold, RS_SNAP_RSI_Target_Buy, RS_SNAP_RSI_Target_Sell, + RS_SNAP_BarsToWait, g_Pos_RS_SNAP, RS_SNAP_MagicNumber, + false, RS_ReversalATRPeriod, RS_ReversalAdverseAtrMult, RS_ReversalSignsRequired, + RS_ReversalRsiVelocity, RS_ReversalBodyAtrMult, + RS_SNAP_UseTrailingStop, RS_SNAP_TrailDistancePoints, RS_SNAP_TrailActivationPoints); + if(EnableRSIScalpingWBD) + ProcessRSIScalping(rsWBDData, RS_WBD_Symbol, RS_WBD_TimeFrame, RS_WBD_RSI_Period, RS_WBD_RSI_Applied_Price, + RS_WBD_RSI_Overbought, RS_WBD_RSI_Oversold, RS_WBD_RSI_Target_Buy, RS_WBD_RSI_Target_Sell, + RS_WBD_BarsToWait, g_Pos_RS_WBD, RS_WBD_MagicNumber, + false, RS_ReversalATRPeriod, RS_ReversalAdverseAtrMult, RS_ReversalSignsRequired, + RS_ReversalRsiVelocity, RS_ReversalBodyAtrMult, + RS_WBD_UseTrailingStop, RS_WBD_TrailDistancePoints, RS_WBD_TrailActivationPoints); + if(EnableRSISecretSauce) ProcessRSISecretSauce(rssData, g_RSS_LotSize); @@ -960,6 +1994,42 @@ void OnTick() ProcessSimpleTrendline(stXAUData, g_Pos_ST_XAUUSD); if(EnableSimpleTrendlineGER40) ProcessSimpleTrendline(stGERData, g_Pos_ST_GER40); + + if(EnableUSDJPYBuster) + ProcessUSDJPYBuster(ubData, g_Pos_UB_USDJPY, United_BalanceScaleFactor()); + + if(EnableXAUBearTrend) + ProcessXAUBearTrend(xbtData, g_Pos_XBT_XAUUSD); + + if(EnableXAUMomentumBreakdown) + ProcessXAUMomentumBreakdown(xmbData, g_Pos_XMB_XAUUSD); + + if(EnableRSIReversalAsianGBPUSD) + ProcessRSIReversalAsian(rraGBPUSDData, g_Pos_RRA_GBPUSD); + + if(EnableGER40Buster) + ProcessUSDJPYBuster(gbData, g_Pos_GB_GER40, United_BalanceScaleFactor()); + + if(EnableRSIReversalAsianUSDCHF) + ProcessRSIReversalAsian(rraUSDCHFData, g_Pos_RRA_USDCHF); + + if(EnableRSIReversalAsianNZDUSD) + ProcessRSIReversalAsian(rraNZDUSDData, g_Pos_RRA_NZDUSD); + + if(EnableNAS100Buster) + ProcessUSDJPYBuster(nbData, g_Pos_NB_NAS100, United_BalanceScaleFactor()); + + if(EnableUS500Buster) + ProcessUSDJPYBuster(u5bData, g_Pos_U5B_US500, United_BalanceScaleFactor()); + + if(EnableUS30Buster) + ProcessUSDJPYBuster(u30bData, g_Pos_U30B_US30, United_BalanceScaleFactor()); + + if(EnableUK100Buster) + ProcessUSDJPYBuster(ukbData, g_Pos_UKB_UK100, United_BalanceScaleFactor()); + + if(EnableXAGUSDBuster) + ProcessUSDJPYBuster(xgbData, g_Pos_XGB_XAGUSD, United_BalanceScaleFactor()); } //+------------------------------------------------------------------+ diff --git a/frontline/cluster-latest/report.png b/frontline/cluster-latest/report.png deleted file mode 100644 index a174d73e8892fb14262661005155b71297b1e0fd..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 29959 zcmb?^3tZCo`oB9nXO}M9uhXifX}_&g&FpeY(Y&DBDqWg6MKSThI$lsntpF_$ZKriv zh0fBPn6NZNMIbL|UXZpnD-#J6zKRMpQ$$os1OmMLziM{fCHMRDs#h3%Z_nrXJkR@i zKkv`SZ@=8@wRnN$0t*X^#k;@Q8DL@YcC>}X8?blY0{`dTrN9^9KW|_Iygs*Jx2{rw zKl~l_neS&77UdZW$M^qZ`a1`|2*Fxd{1Z3*_YHZ>>LV5wxJ$cteinEnVz@_rsJE{A zg#XRHW2-WDIP;ShIh}g1spemK+Z^85=(cX{*JDnl@cd1`{`hXS%v_${o`?j`_~do$ z)X}zub3a&E9GkeCHGRF=*Ri(?Y@hq^{VYhdLN5R0Ou?&vs1c~_{GoSFP4K789=xg# zMvvZ7endN!V)L4BfTVBS`^tu*ytWT5NIdh7(d~iuJK+xZ_h0i3#`SaBVR%x7{c3#( z{79SU{4TBx`ACs#&g#6~nzC>1*)1$EE?C+&*AQGsP0f^w{ww#q{HS4)L~7)xktW;J 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+\node (b) [below=of a] {计算高低点，形成 Darvas 箱体}; +\node (c) [below=of b] {箱体有效？幅度 $\leq$ 偏差阈值\\{\scriptsize 无效则继续等待}}; +\node (d) [below=of c] {趋势 MA 斜率 + 成交量放大过滤}; +\node (e) [below=of d] {突破上沿 $\rightarrow$ Buy\\突破下沿 $\rightarrow$ Sell}; +\node (f) [below=of e] {固定 SL/TP 持仓管理}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e); \draw[->] (e)--(f);"""), + "ES": _fc("zh", "ES", r""" +\node (a) {EMA 金叉 / 死叉检测}; +\node (b) [below=of a] {价格距 EMA 超过阈值？}; +\node (c) [below=of b] {EMA 斜率超过阈值？}; +\node (d) [below=of c] {周线 ADX 趋势强度与方向过滤}; +\node (e) [below=of d] {开仓（每交叉限最大笔数）}; +\node (f) [below=of e] {移动止损；反向信号平亏损单（已启用）}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e); \draw[->] (e)--(f);"""), + "RC": _fc("zh", "RC", r""" +\node (a) {RSI 超买 / 超卖穿越}; +\node (b) [below=of a] {EMA 斜率 + 价格距离过滤}; +\node (c) [below=of b] {交易时段白名单过滤}; +\node (d) [below=of c] {反向信号入场}; +\node (e) [below=of d] {RSI 目标位 / 移动止损出场}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), + "RM": _fc("zh", "RM", r""" +\node (a) [text width=7cm] {子策略路由（三选一）}; +\node (b) [below left=1.1cm and 2.8cm of a] {RSI Follow\\{\scriptsize 时段内顺势}}; +\node (c) [below=1.1cm of a] {RSI Reverse\\{\scriptsize 交叉反转}}; +\node (d) [below right=1.1cm and 2.8cm of a] {EMA Cross\\{\scriptsize 距离过滤}}; +\node (e) [below=1.6cm of c, text width=7.5cm] {独立持仓管理：时段外平仓 / 策略锁}; +\draw[->] (a)--(b); \draw[->] (a)--(c); \draw[->] (a)--(d); +\draw[->] (b)--(e); \draw[->] (c)--(e); \draw[->] (d)--(e);""", wide=True), + "RS_SCALP": _fc("zh", "RS_SCALP", r""" +\node (a) {新 K 线：更新 RSI}; +\node (b) [below=of a] {RSI 达到目标买 / 卖位？}; +\node (c) [below=of b] {BarsToWait 冷却等待}; +\node (d) [below=of c] {开仓 + 移动止损跟踪}; +\node (e) [below=of d] {反转逃离（ATR/RSI/实体）\\可选：反向信号平亏损单}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), + "SE": _fc("zh", "SE", r""" +\node (a) {EMA 快 / 中 / 慢多头排列？}; +\node (b) [below=of a] {CCI 进入超卖区回调}; +\node (c) [below=of b] {MACD 金叉确认}; +\node (d) [below=of c] {入场（单笔持仓限制）}; +\node (e) [below=of d] {CCI 零轴穿越或最大持仓 K 线退出}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), + "ST": _fc("zh", "ST", r""" +\node (a) {高周期扫描趋势线}; +\node (b) [below=of a] {价格触及趋势线（容差内）？}; +\node (c) [below=of b] {突破缓冲带确认方向}; +\node (d) [below=of c] {顺势开仓（多 / 空双向）}; +\node (e) [below=of d] {趋势线失效或反向突破平仓}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), + "RRA": _fc("zh", "RRA", r""" +\node (a) {亚洲时段 00:00--08:00 UTC}; +\node (b) [below=of a] {RSI 穿越超买 / 超卖极值}; +\node (c) [below=of b] {均值回归方向入场}; +\node (d) [below=of c] {RSI 回归中性或时段结束平仓}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d);"""), + "BUSTER": _fc("zh", "BUSTER", r""" +\node (a) {定义日内区间（开盘前固定时段）}; +\node (b) [below=of a] {区间宽度 $\geq$ 最小点数？}; +\node (c) [below=of b] {区间上下挂突破止损单（含缓冲）}; +\node (d) [below=of c] {成交后持仓管理}; +\node (e) [below=of d] {收盘前强制平仓}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), +} + +FLOW_EN = { + "DB": _fc("en", "DB", r""" +\node (a) {H1: scan BoxPeriod bars}; +\node (b) [below=of a] {High/low form Darvas box}; +\node (c) [below=of b] {Valid box? range $\leq$ threshold\\{\scriptsize else wait}}; +\node (d) [below=of c] {Trend MA slope + volume filter}; +\node (e) [below=of d] {Break above $\rightarrow$ Buy\\below $\rightarrow$ Sell}; +\node (f) [below=of e] {Fixed SL/TP management}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e); \draw[->] (e)--(f);"""), + "ES": _fc("en", "ES", r""" +\node (a) {EMA golden/death cross}; +\node (b) [below=of a] {Price distance $>$ threshold?}; +\node (c) [below=of b] {EMA slope $>$ threshold?}; +\node (d) [below=of c] {Weekly ADX filter}; +\node (e) [below=of d] {Entry (max trades per cross)}; +\node (f) [below=of e] {Trailing stop; close loss on reverse}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e); \draw[->] (e)--(f);"""), + "RC": _fc("en", "RC", r""" +\node (a) {RSI overbought/oversold cross}; +\node (b) [below=of a] {EMA slope + distance filter}; +\node (c) [below=of b] {Trading hours whitelist}; +\node (d) [below=of c] {Counter-signal entry}; +\node (e) [below=of d] {RSI target / trailing exit}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), + "RM": _fc("en", "RM", r""" +\node (a) [text width=7cm] {Sub-strategy router}; +\node (b) [below left=1.1cm and 2.8cm of a] {RSI Follow\\{\scriptsize intraday}}; +\node (c) [below=1.1cm of a] {RSI Reverse\\{\scriptsize reversal}}; +\node (d) [below right=1.1cm and 2.8cm of a] {EMA Cross\\{\scriptsize distance}}; +\node (e) [below=1.6cm of c, text width=7.5cm] {Close outside session / strategy lock}; +\draw[->] (a)--(b); \draw[->] (a)--(c); \draw[->] (a)--(d); +\draw[->] (b)--(e); \draw[->] (c)--(e); \draw[->] (d)--(e);""", wide=True), + "RS_SCALP": _fc("en", "RS_SCALP", r""" +\node (a) {New bar: update RSI}; +\node (b) [below=of a] {RSI hit buy/sell target?}; +\node (c) [below=of b] {BarsToWait cooldown}; +\node (d) [below=of c] {Entry + trailing stop}; +\node (e) [below=of d] {Reversal escape (ATR/RSI)\\optional: close on reverse}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), + "SE": _fc("en", "SE", r""" +\node (a) {EMA fast/mid/slow aligned?}; +\node (b) [below=of a] {CCI oversold pullback}; +\node (c) [below=of b] {MACD golden cross}; +\node (d) [below=of c] {Entry (one position)}; +\node (e) [below=of d] {CCI zero cross or max hold bars}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), + "ST": _fc("en", "ST", r""" +\node (a) {Higher TF trendline scan}; +\node (b) [below=of a] {Price touches line (tolerance)?}; +\node (c) [below=of b] {Breakout buffer confirmed}; +\node (d) [below=of c] {Trend entry long/short}; +\node (e) [below=of d] {Line break $\rightarrow$ close}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), + "RRA": _fc("en", "RRA", r""" +\node (a) {Asian session 00:00--08:00 UTC}; +\node (b) [below=of a] {RSI extreme cross}; +\node (c) [below=of b] {Mean-reversion entry}; +\node (d) [below=of c] {RSI neutral or session end}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d);"""), + "BUSTER": _fc("en", "BUSTER", r""" +\node (a) {Define intraday range (pre-open)}; +\node (b) [below=of a] {Range width $\geq$ minimum?}; +\node (c) [below=of b] {Breakout stop orders (buffer)}; +\node (d) [below=of c] {Position management}; +\node (e) [below=of d] {Force close before session end}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), +} + +FLOW_DE = { + "DB": _fc("de", "DB", r""" +\node (a) {H1: BoxPeriod Kerzen scannen}; +\node (b) [below=of a] {Hoch/Tief bilden Darvas-Box}; +\node (c) [below=of b] {Box g\"ultig? Range $\leq$ Abweichung\\{\scriptsize sonst warten}}; +\node (d) [below=of c] {Trend-MA-Steigung + Volumenfilter}; +\node (e) [below=of d] {Breakout oben $\rightarrow$ Buy\\unten $\rightarrow$ Sell}; +\node (f) [below=of e] {Feste SL/TP Verwaltung}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e); \draw[->] (e)--(f);"""), + "ES": _fc("de", "ES", r""" +\node (a) {EMA Golden/Death Cross}; +\node (b) [below=of a] {Preisabstand zu EMA $>$ Schwelle?}; +\node (c) [below=of b] {EMA-Steigung $>$ Schwelle?}; +\node (d) [below=of c] {W\"ochentlicher ADX-Filter}; +\node (e) [below=of d] {Einstieg (max. Trades pro Cross)}; +\node (f) [below=of e] {Trailing Stop; Verlust bei Gegensignal schlie\ss en}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e); \draw[->] (e)--(f);"""), + "RC": _fc("de", "RC", r""" +\node (a) {RSI \"Uberkauft/\"Uberverkauft Cross}; +\node (b) [below=of a] {EMA-Steigung + Abstandsfilter}; +\node (c) [below=of b] {Handelszeiten-Whitelist}; +\node (d) [below=of c] {Gegensignal-Einstieg}; +\node (e) [below=of d] {RSI-Ziel / Trailing Stop Ausstieg}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), + "RM": _fc("de", "RM", r""" +\node (a) [text width=7cm] {Sub-Strategie Router}; +\node (b) [below left=1.1cm and 2.8cm of a] {RSI Follow\\{\scriptsize intraday}}; +\node (c) [below=1.1cm of a] {RSI Reverse\\{\scriptsize Cross-Reversal}}; +\node (d) [below right=1.1cm and 2.8cm of a] {EMA Cross\\{\scriptsize Abstand}}; +\node (e) [below=1.6cm of c, text width=7.5cm] {Session-Ende schlie\ss en / Strategie-Lock}; +\draw[->] (a)--(b); \draw[->] (a)--(c); \draw[->] (a)--(d); +\draw[->] (b)--(e); \draw[->] (c)--(e); \draw[->] (d)--(e);""", wide=True), + "RS_SCALP": _fc("de", "RS_SCALP", r""" +\node (a) {Neue Kerze: RSI aktualisieren}; +\node (b) [below=of a] {RSI Ziel Buy/Sell erreicht?}; +\node (c) [below=of b] {BarsToWait Cooldown}; +\node (d) [below=of c] {Einstieg + Trailing Stop}; +\node (e) [below=of d] {Reversal Escape (ATR/RSI)\\optional: Verlust bei Gegensignal}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), + "SE": _fc("de", "SE", r""" +\node (a) {EMA schnell/mittel/langsam bullisch?}; +\node (b) [below=of a] {CCI \"Uberverkauft Pullback}; +\node (c) [below=of b] {MACD Golden Cross}; +\node (d) [below=of c] {Einstieg (eine Position)}; +\node (e) [below=of d] {CCI Null-Linie oder max. Haltedauer}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), + "ST": _fc("de", "ST", r""" +\node (a) {H\"oherer TF: Trendlinie scannen}; +\node (b) [below=of a] {Preis ber\"uhrt Linie (Toleranz)?}; +\node (c) [below=of b] {Breakout-Puffer best\"atigt}; +\node (d) [below=of c] {Trendfolge Long/Short}; +\node (e) [below=of d] {Linie bricht $\rightarrow$ schlie\ss en}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), + "RRA": _fc("de", "RRA", r""" +\node (a) {Asien-Session 00:00--08:00 UTC}; +\node (b) [below=of a] {RSI Extrem-Cross}; +\node (c) [below=of b] {Mean-Reversion Einstieg}; +\node (d) [below=of c] {RSI neutral oder Session-Ende}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d);"""), + "BUSTER": _fc("de", "BUSTER", r""" +\node (a) {Intraday-Range vor Er\"offnung}; +\node (b) [below=of a] {Range-Breite $\geq$ Minimum?}; +\node (c) [below=of b] {Breakout-Stop-Orders (Puffer)}; +\node (d) [below=of c] {Positionsverwaltung}; +\node (e) [below=of d] {Zwangsschluss vor Close}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), +} + +FLOW_AR = { + "DB": _fc("ar", "DB", r""" +\node (a) {مسح H1 لعدد BoxPeriod}; +\node (b) [below=of a] {حساب القمة/القاع وتكوين صندوق دارفاس}; +\node (c) [below=of b] {الصندوق صالح؟ النطاق $\leq$ العتبة\\{\scriptsize وإلا الانتظار}}; +\node (d) [below=of c] {فلتر ميل MA + حجم التداول}; +\node (e) [below=of d] {اختراق أعلى $\rightarrow$ شراء\\أسفل $\rightarrow$ بيع}; +\node (f) [below=of e] {إدارة SL/TP ثابتة}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e); \draw[->] (e)--(f);"""), + "ES": _fc("ar", "ES", r""" +\node (a) {كشف تقاطع EMA الذهبي/الموت}; +\node (b) [below=of a] {المسافة عن EMA $>$ العتبة؟}; +\node (c) [below=of b] {ميل EMA $>$ العتبة؟}; +\node (d) [below=of c] {فلتر ADX الأسبوعي}; +\node (e) [below=of d] {دخول (حد أقصى لكل تقاطع)}; +\node (f) [below=of e] {وقف متحرك؛ إغلاق الخسارة عند إشارة عكسية}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e); \draw[->] (e)--(f);"""), + "RC": _fc("ar", "RC", r""" +\node (a) {عبور RSI تشبع شراء/بيع}; +\node (b) [below=of a] {ميل EMA + فلتر المسافة}; +\node (c) [below=of b] {فلتر أوقات التداول}; +\node (d) [below=of c] {دخول بإشارة عكسية}; +\node (e) [below=of d] {هدف RSI / وقف متحرك}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), + "RM": _fc("ar", "RM", r""" +\node (a) [text width=7cm] {موجّه الاستراتيجيات الفرعية}; +\node (b) [below left=1.1cm and 2.5cm of a] {RSI Follow\\{\scriptsize داخل الجلسة}}; +\node (c) [below=1.1cm of a] {RSI Reverse\\{\scriptsize انعكاس}}; +\node (d) [below right=1.1cm and 2.5cm of a] {EMA Cross\\{\scriptsize مسافة}}; +\node (e) [below=1.6cm of c, text width=7.5cm] {إغلاق خارج الجلسة / قفل الاستراتيجية}; +\draw[->] (a)--(b); \draw[->] (a)--(c); \draw[->] (a)--(d); +\draw[->] (b)--(e); \draw[->] (c)--(e); \draw[->] (d)--(e);""", wide=True), + "RS_SCALP": _fc("ar", "RS_SCALP", r""" +\node (a) {شمعة جديدة: تحديث RSI}; +\node (b) [below=of a] {RSI وصل هدف الشراء/البيع؟}; +\node (c) [below=of b] {انتظار BarsToWait}; +\node (d) [below=of c] {دخول + وقف متحرك}; +\node (e) [below=of d] {هروب انعكاسي (ATR/RSI)\\اختياري: إغلاق عند إشارة عكسية}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), + "SE": _fc("ar", "SE", r""" +\node (a) {تراص EMA سريع/متوسط/بطيء صاعد؟}; +\node (b) [below=of a] {تراجع CCI من تشبع بيع}; +\node (c) [below=of b] {تأكيد MACD ذهبي}; +\node (d) [below=of c] {دخول (صفقة واحدة)}; +\node (e) [below=of d] {عبور CCI صفر أو حد زمني}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), + "ST": _fc("ar", "ST", r""" +\node (a) {مسح خط الاتجاه بإطار أعلى}; +\node (b) [below=of a] {السعر يلامس الخط (ضمن التسامح)؟}; +\node (c) [below=of b] {تأكيد كسر الحاجز}; +\node (d) [below=of c] {دخول مع الاتجاه (شراء/بيع)}; +\node (e) [below=of d] {كسر عكسي $\rightarrow$ إغلاق}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), + "RRA": _fc("ar", "RRA", r""" +\node (a) {جلسة آسيا 00:00--08:00 UTC}; +\node (b) [below=of a] {عبور RSI للنقاط القصوى}; +\node (c) [below=of b] {دخول ارتداد للمتوسط}; +\node (d) [below=of c] {RSI محايد أو نهاية الجلسة}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d);"""), + "BUSTER": _fc("ar", "BUSTER", r""" +\node (a) {تحديد نطاق اليوم قبل الافتتاح}; +\node (b) [below=of a] {عرض النطاق $\geq$ الحد الأدنى؟}; +\node (c) [below=of b] {أوامر كسر مع حاجز}; +\node (d) [below=of c] {إدارة المركز}; +\node (e) [below=of d] {إغلاق إجباري قبل الإقفال}; +\draw[->] (a)--(b); \draw[->] (b)--(c); \draw[->] (c)--(d); \draw[->] (d)--(e);"""), +} + +_COMMON_PKGS = [ + r"\usepackage{graphicx}", + r"\usepackage{booktabs}", + r"\usepackage{geometry}", + r"\usepackage{float}", + r"\usepackage{subcaption}", + r"\usepackage{tikz}", + r"\usetikzlibrary{arrows.meta, positioning}", + r"\usepackage{hyperref}", + r"\usepackage{xcolor}", + r"\geometry{margin=2cm}", +] + +LOCALES: dict[str, Locale] = { + "zh": Locale( + code="zh", + tex_stem="managed_account_brochure", + pdf_name="ManagedAccount_Brochure.pdf", + preamble=[r"\documentclass[11pt,a4paper]{ctexart}"] + _COMMON_PKGS, + title=r"UnitedEA 智能交易集群\\代客理财产品介绍 · 业绩与策略逻辑", + author=r"Namelos.xyz Research · MetaTrader\,5 策略测试器回测", + abstract_tpl=( + r"本报告基于 MT5 客户端本地回测（2023.07--2026.06，初始资金 \${deposit:,.0f}，杠杆 1:1000，" + r"余额复利缩放），展示 19 个生产子策略的独立净值曲线与组合表现。" + r"近三年回测中，\textbf{{{n_prof}/19}} 个子策略净盈利为正，\textbf{{{n_pf1}/19}} 个盈利因子 $\geq 1$。" + r"过往业绩不代表未来收益。" + ), + s1_title="产品介绍", + s1_body="UnitedEA 是一套多策略 MetaTrader\\,5 智能交易集群，通过在同一账户并行运行 " + "19 个经独立优化、低相关性子机器人，实现跨品种风险分散。", + s1_1_title="服务模式（代客理财）", + s1_1_items=[ + r"\textbf{全权委托执行}：策略信号自动下单，无需人工干预", + r"\textbf{组合风控}：统一资金调度、动态手数缩放（基准余额 \$3,000）", + r"\textbf{定期审计}：手数遗传优化、信号替换 A/B 测试、禁用策略筛查", + r"\textbf{建议起始资金}：不低于 \$3,000，与系统参考余额一致", + ], + s1_2_title="回测设置", + table_headers=("项目", "设置"), + table_rows=[ + ("回测区间", "2023.07.01 -- 2026.06.01"), + ("初始资金", r"\$3,000"), + ("杠杆", "1:1000"), + ("测试模型", "1 分钟 OHLC"), + ("组合调度品种", "NAS100 H1"), + ("数据来源", "MT5 本地终端数据目录"), + ], + s2_title="组合净值曲线", + s2_body_tpl="下图展示 19 个子策略同时运行时的组合净值（对数坐标）。" + "组合盈利因子 \\textbf{{{pf}}}，夏普比率 \\textbf{{{sharpe}}}，总交易 \\textbf{{{trades}}} 笔。", + s2_caption="UnitedEA 19 策略组合净值曲线（2023.07--2026.06）", + s3_title="各子机器人独立净值曲线", + s3_body="以下每个子策略在\\textbf{单独启用}、优化手数下运行三年回测。" + "所有曲线均从 \\$3,000 起步；虚线为初始资金参考线。" + "\\textbf{全部 19 个机器人在三年期内均实现正净盈利。}", + s4_title="各机器人业绩汇总", + s4_caption="19 个子策略三年独立回测业绩", + table_cols="代码 & 策略 & 品种 & PF & 净盈利(\\$) & 夏普 & 交易数", + s5_title="各机器人底层逻辑流程图", + s5_body=r"以下流程图概括各子策略的核心决策链路（与 \texttt{Strategies/} 源码一致）。", + close_note=r"\noindent\textit{注：该策略已启用「反向信号平亏损单」优化。}", + s6_title="后续策略调整", + s6_items=[ + r"\textbf{手数}：已完成逐策略遗传优化，US30 降至 0.02 控制回撤", + r"\textbf{信号平仓}：仅 ES、RS\_XAUUSD、RS\_US30 开启；其余保持关闭", + r"\textbf{观察名单}：SE（PF 偏低）、亚式 AUD/GBP 维持最小手数", + r"\textbf{风控}：计划引入组合层面 20\% 回撤熔断与黄金集中度上限", + ], + disclaimer="本文件基于历史回测，不构成投资建议。外汇及差价合约交易存在高风险，可能损失全部本金。", + equity_ylabel="净值 (USD)", + equity_combined_title="UnitedEA 19策略组合净值 (2023.07–2026.06)", + caption_pf_net_sharpe=("PF", "净盈利", "夏普"), + flowcharts=FLOW_ZH, + ), + "de": Locale( + code="de", + tex_stem="managed_account_brochure_de", + pdf_name="ManagedAccount_Brochure_DE.pdf", + preamble=[ + r"\documentclass[11pt,a4paper]{article}", + r"\usepackage{fontspec}", + r"\usepackage{polyglossia}", + r"\setdefaultlanguage{german}", + r"\setmainfont{TeX Gyre Termes}", + ] + _COMMON_PKGS, + title=r"UnitedEA Multi-Strategie-Cluster\\Verm\"ogensverwaltung · Performance \& Logik", + author=r"Namelos.xyz Research · MetaTrader\,5 Strategietester", + abstract_tpl=( + r"Dieser Bericht basiert auf lokalen MT5-Backtests (07/2023--06/2026, Startkapital \${deposit:,.0f}, " + r"Hebel 1:1000, skalierte Lots). Er zeigt Eigenkapitalkurven von 19 Produktions-Substrategien und dem Portfolio. " + r"In drei Jahren erzielten \textbf{{{n_prof}/19}} Strategien positiven Nettogewinn, \textbf{{{n_pf1}/19}} haben Profit Factor $\geq 1$. " + r"Vergangene Ergebnisse garantieren keine zuk\"unftigen Renditen." + ), + s1_title="Produkt\"ubersicht", + s1_body="UnitedEA ist ein Multi-Strategie-Expert-Advisor-Cluster auf MetaTrader\\,5. " + "19 unabh\"angig optimierte, wenig korrelierte Roboter laufen parallel auf einem Konto zur Risikostreuung.", + s1_1_title="Service-Modell (Verm\"ogensverwaltung)", + s1_1_items=[ + r"\textbf{Vollautomatisch}: Signale werden ohne manuelles Eingreifen ausgef\"uhrt", + r"\textbf{Portfolio-Risiko}: Einheitliches Kapitalmanagement, dynamische Lots (Referenz \$3.000)", + r"\textbf{Regelm\"a\ssige Audits}: Lot-Optimierung, A/B-Tests f\"ur Signal-Ersetzung", + r"\textbf{Empfohlenes Startkapital}: mindestens \$3.000", + ], + s1_2_title="Backtest-Einstellungen", + table_headers=("Parameter", "Wert"), + table_rows=[ + ("Zeitraum", "2023.07.01 -- 2026.06.01"), + ("Startkapital", r"\$3.000"), + ("Hebel", "1:1000"), + ("Modell", "1-Minuten-OHLC"), + ("Portfolio-Symbol", "NAS100 H1"), + ("Datenquelle", "Lokales MT5-Terminal"), + ], + s2_title="Portfolio-Eigenkapitalkurve", + s2_body_tpl="Kombinierte Eigenkapitalkurve von 19 Strategien (logarithmische Skala). " + "Profit Factor \\textbf{{{pf}}}, Sharpe \\textbf{{{sharpe}}}, Trades \\textbf{{{trades}}}.", + s2_caption="UnitedEA 19-Strategien-Portfolio (07/2023--06/2026)", + s3_title="Einzelne Roboter-Eigenkapitalkurven", + s3_body="Jede Substrategie einzeln aktiviert, optimierte Lots, drei Jahre Backtest. " + "Start bei \\$3.000; gestrichelte Linie = Referenz. " + "\\textbf{Alle 19 Roboter mit positivem Nettogewinn.}", + s4_title="Leistungs\"ubersicht", + s4_caption="Drei-Jahres-Solo-Backtests der 19 Strategien", + table_cols="Code & Strategie & Symbol & PF & Netto (\$) & Sharpe & Trades", + s5_title="Logik-Flowcharts", + s5_body="Kernentscheidungslogik jeder Substrategie (entspricht \\texttt{Strategies/}-Quellcode).", + close_note=r"\noindent\textit{Hinweis: Verlustschlie\ssung bei Gegensignal ist aktiviert.}", + s6_title="Geplante Anpassungen", + s6_items=[ + r"\textbf{Lots}: Genetische Optimierung abgeschlossen; US30 auf 0{,}02 reduziert", + r"\textbf{Signal-Close}: nur ES, RS\_XAUUSD, RS\_US30 aktiv", + r"\textbf{Beobachtung}: SE (niedriger PF); Asian AUD/GBP minimale Lots", + r"\textbf{Risiko}: Portfolio-Drawdown-Circuit-Breaker 20\% geplant", + ], + disclaimer="Historische Backtests, keine Anlageberatung. Forex/CFD mit hohem Verlustrisiko.", + equity_ylabel="Eigenkapital (USD)", + equity_combined_title="UnitedEA 19-Strategien Portfolio (2023.07--2026.06)", + caption_pf_net_sharpe=("PF", "Netto", "Sharpe"), + flowcharts=FLOW_DE, + ), + "ar": Locale( + code="ar", + tex_stem="managed_account_brochure_ar", + pdf_name="ManagedAccount_Brochure_AR.pdf", + preamble=[ + r"\documentclass[11pt,a4paper]{article}", + r"\usepackage{fontspec}", + r"\usepackage{polyglossia}", + r"\setdefaultlanguage{arabic}", + r"\setotherlanguage{english}", + r"\newfontfamily\arabicfont[Script=Arabic]{Arial}", + r"\newfontfamily\arabicfontsf[Script=Arabic]{Arial}", + ] + _COMMON_PKGS, + title=r"مجموعة UnitedEA للتداول الآلي\\إدارة محافظ · الأداء ومنطق الاستراتيجيات", + author=r"Namelos.xyz Research · اختبار MT5", + abstract_tpl=( + r"يعتمد هذا التقرير على اختبار MT5 المحلي (07/2023--06/2026، رأس مال \${deposit:,.0f}، " + r"رافعة 1:1000، تحجيم اللوت). يعرض منحنيات 19 استراتيجية فرعية والمحفظة المجمّعة. " + r"خلال ثلاث سنوات، \textbf{{{n_prof}/19}} استراتيجية بربح صافٍ موجب، \textbf{{{n_pf1}/19}} بعامل ربح $\geq 1$. " + r"الأداء السابق لا يضمن النتائج المستقبلية." + ), + s1_title="نظرة على المنتج", + s1_body="UnitedEA هو عنقود مستشار خبير متعدد الاستراتيجيات على MetaTrader\\,5. " + "يعمل 19 روبوتاً محسّناً ومستقلاً بالتوازي لتوزيع المخاطر عبر الأصول.", + s1_1_title="نموذج الخدمة (إدارة المحافظ)", + s1_1_items=[ + r"\textbf{تنفيذ آلي كامل}: إشارات تُنفَّذ دون تدخل يدوي", + r"\textbf{مخاطر المحفظة}: إدارة موحّدة للرأسمال، تحجيم ديناميكي للوت (مرجع 3{,}000\$)", + r"\textbf{تدقيق دوري}: تحسين اللوت، اختبارات A/B لإشارات الإغلاق", + r"\textbf{رأس مال مقترح}: 3{,}000\$ كحد أدنى", + ], + s1_2_title="إعدادات الاختبار", + table_headers=("البند", "القيمة"), + table_rows=[ + ("الفترة", "2023.07.01 -- 2026.06.01"), + ("رأس المال", r"\$3.000"), + ("الرافعة", "1:1000"), + ("النموذج", "OHLC دقيقة واحدة"), + ("رمز المحفظة", "NAS100 H1"), + ("مصدر البيانات", "مجلد بيانات MT5 المحلي"), + ], + s2_title="منحنى محفظة مجمّعة", + s2_body_tpl="منحنى رأس المال لـ 19 استراتيجية (مقياس لوغاريتمي). " + "عامل الربح \\textbf{{{pf}}}، شارب \\textbf{{{sharpe}}}، الصفقات \\textbf{{{trades}}}.", + s2_caption="محفظة UnitedEA — 19 استراتيجية (07/2023--06/2026)", + s3_title="منحنيات الروبوتات المنفردة", + s3_body="كل استراتيجية فرعية مفعّلة منفردة، لوت محسّن، اختبار ثلاث سنوات. " + "البداية من 3{,}000\$؛ الخط المتقطع = مرجع. " + "\\textbf{الـ 19 روبوتاً جميعها بربح صافٍ موجب.}", + s4_title="ملخص الأداء", + s4_caption="اختبارات منفردة لثلاث سنوات — 19 استراتيجية", + table_cols="الرمز & الاستراتيجية & الأصل & PF & صافي (\$) & شارب & صفقات", + s5_title="مخططات منطق الاستراتيجيات", + s5_body="ملخص مسار القرار لكل استراتيجية. المخططات بالإنجليزية لضمان عرض صحيح في TikZ.", + close_note=r"\noindent\textbf{ملاحظة:} إغلاق الخسارة عند إشارة عكسية مفعّل لهذه الاستراتيجية.", + s6_title="التعديلات المخططة", + s6_items=[ + r"\textbf{اللوت}: تحسين وراثي؛ US30 خُفّض إلى 0{,}02", + r"\textbf{إغلاق الإشارة}: ES و RS\_XAUUSD و RS\_US30 فقط", + r"\textbf{مراقبة}: SE (PF منخفض); Asian AUD/GBP أقل لوت", + r"\textbf{مخاطر}: قاطع سحب 20\% على مستوى المحفظة", + ], + disclaimer="اختبار تاريخي وليس نصيحة استثمارية. تداول الفوركس والعقود عالي المخاطر.", + equity_ylabel="رأس المال (USD)", + equity_combined_title="UnitedEA 19 استراتيجية (2023.07--2026.06)", + caption_pf_net_sharpe=("PF", "صافي", "شارب"), + flowcharts=FLOW_EN, + rtl=True, + ), +} + +FLOW_KEY = { + "RS_NVDA": "RS_SCALP", "RS_TSLA": "RS_SCALP", "RS_BTCUSD": "RS_SCALP", + "RS_XAUUSD": "RS_SCALP", "RS_NAS100": "RS_SCALP", "RS_US30": "RS_SCALP", + "ST_BTC": "ST", "ST_XAU": "ST", + "RRA_AUD": "RRA", "RRA_GBP": "RRA", + "UB": "BUSTER", "GB": "BUSTER", "U5B": "BUSTER", "UKB": "BUSTER", +} + + +def flowchart_for(sid: str, loc: Locale) -> str: + key = FLOW_KEY.get(sid, sid) + return loc.flowcharts.get(key, loc.flowcharts.get(sid, r"\textit{---}")) diff --git a/frontline/cluster-latest/reports/cluster_evaluation.tex b/frontline/cluster-latest/reports/cluster_evaluation.tex new file mode 100644 index 0000000..d7b167d --- /dev/null +++ b/frontline/cluster-latest/reports/cluster_evaluation.tex @@ -0,0 +1,221 @@ + +\documentclass[11pt,a4paper]{ctexart} +\usepackage{graphicx} +\usepackage{booktabs} +\usepackage{geometry} +\usepackage{float} +\usepackage{caption} +\usepackage{subcaption} +\usepackage{hyperref} +\usepackage{xcolor} +\geometry{margin=2.2cm} +\title{UnitedEA 集群回测综合评估报告\\ \large 2023.07 -- 2026.06 · 逐月诊断 · 回撤期 K 线对比} +\author{自动生成 · cluster-latest/main.mq5} +\date{\today} + +\begin{document} +\maketitle +\tableofcontents +\newpage + + \section{执行摘要} + 本报告基于 MT5 策略测试器 HTML 报告（初始资金 \$3,000，杠杆 1:1000，余额复利缩放）对 UnitedEA 集群进行逐机器人、逐月、回撤期市场结构分析。 + + \begin{table}[H] + \centering + \caption{组合层面关键指标} + \begin{tabular}{lr} + \toprule + 指标 & 数值 \\ + \midrule + 总净盈利 & 3,647,628 USD \\ + 盈利因子 & 1.21 \\ + 夏普比率 & 2.70 \\ + 最大净值回撤 & 48.89\% \\ + 总交易笔数 & 11,669 \\ + 胜率 & 44.95\% \\ + \bottomrule + \end{tabular} + \end{table} + + \textbf{核心结论：} + \begin{itemize} + \item 利润高度集中于 XAUUSD 上的 RM EMA Cross、RSI Scalping XAU、RSI Consolidation；名义多品种分散，实际为黄金 beta 集群。 + \item 2025 末至 2026 初复利手数放大后，收益与回撤同步膨胀；评估 edge 需配合固定手数对照。 + \item SimpleTrendline 为\textbf{对冲型}（多空双向），整体虽亏但分方向与品种后可能仍有价值，不宜简单一刀切关闭。 + \item 最大回撤期 XAUUSD 呈现更高 ATR、更低 ADX（震荡/假突破增多），趋势型与突破型策略易共振亏损。 + \end{itemize} + + \section{组合曲线与回撤} + \begin{figure}[H] + \centering + \includegraphics[width=0.95\textwidth]{figures/equity_drawdown.pdf} + \caption{净值曲线与回撤百分比} + \end{figure} + + \begin{table}[H] + \centering + \caption{主要回撤 episode（Top 5）} + \begin{tabular}{clllrr} + \toprule + \# & 起始 & 谷底 & 恢复 & 深度(USD) & 深度(\%) \\ + \midrule + 1 & 2026-04-15 & 2026-04-27 & 2026-05-12 & 779,365 & 18.0\% \\ +2 & 2026-05-14 & 2026-06-01 & 2026-06-03 & 751,277 & 17.1\% \\ +3 & 2026-03-24 & 2026-03-31 & 2026-04-06 & 530,292 & 15.9\% \\ +4 & 2026-02-02 & 2026-02-02 & 2026-02-18 & 463,122 & 25.5\% \\ +5 & 2026-02-25 & 2026-02-26 & 2026-03-03 & 425,597 & 21.4\% \\ + \bottomrule + \end{tabular} + \end{table} + + \section{逐机器人月度热力与累计贡献} + \begin{figure}[H] + \centering + \includegraphics[width=0.98\textwidth]{figures/monthly_heatmap.pdf} + \caption{各机器人逐月净利润热力图（USD）} + \end{figure} + + \begin{figure}[H] + \centering + \includegraphics[width=0.85\textwidth]{figures/strategy_contribution.pdf} + \caption{各机器人累计净利润贡献} + \end{figure} + + \section{SimpleTrendline：对冲型专项分析} + SimpleTrendline 基于高周期 MA 交叉趋势线，\textbf{多空双向}触发，设计目标是对冲而非单边趋势押注。 + 回测合计 -656,869 USD，但 2026 年在黄金高位剧烈震荡中大幅回撤。 + + \begin{figure}[H] + \centering + \includegraphics[width=0.95\textwidth]{figures/st_long_short_monthly.pdf} + \caption{SimpleTrendline 多空方向逐月 P/L 分解} + \end{figure} + + \begin{figure}[H] + \centering + \includegraphics[width=0.95\textwidth]{figures/st_by_symbol_monthly.pdf} + \caption{SimpleTrendline 分品种（XAU/GER/BTC）逐月 P/L} + \end{figure} + + \begin{figure}[H] + \centering + \includegraphics[width=0.98\textwidth]{figures/top6_monthly.pdf} + \caption{核心六机器人逐月 P/L 明细} + \end{figure} + + \textbf{建议：}保留策略框架，但 (1) 在 ADX>40 且 ATR 分位>0\% 的强趋势月减少逆势侧仓位； + (2) 与 RM/RCO 等同向 exposure 设上限；(3) 2026 类高位宽幅震荡月单独降 LOT。 + + \section{回撤期 vs 平稳期：XAUUSD H1 市场结构} + 从 MT5 拉取 XAUUSD H1。回撤窗口取 Top3 drawdown episode（2026-03, 2026-04, 2026-05, 2026-06），对照期为 2024-03 至 2024-09 平稳盈利段。 + + \begin{table}[H] + \centering + \caption{市场特征对比（亏损月 vs 对照月）} + \begin{tabular}{lrr} + \toprule + 特征 & 亏损月均值 & 对照月均值 \\ + \midrule + ADX(14) & 40.2 & 37.7 \\ + ATR\% & 0.50 & 0.27 \\ + 日收益波动(chop) & 1.60 & 0.88 \\ + EMA20-50 斜率\% & -0.109 & 0.113 \\ + \bottomrule + \end{tabular} + \end{table} + + \begin{figure}[H] + \centering + \begin{subfigure}{0.48\textwidth} + \includegraphics[width=\textwidth]{figures/xau_dd_candles.pdf} + \caption{回撤谷底附近 K 线 + EMA} + \end{subfigure} + \hfill + \begin{subfigure}{0.48\textwidth} + \includegraphics[width=\textwidth]{figures/xau_calm_candles.pdf} + \caption{盈利平稳期 K 线 + EMA} + \end{subfigure} + \caption{XAUUSD H1 形态对比} + \end{figure} + + \begin{figure}[H] + \centering + \includegraphics[width=0.95\textwidth]{figures/xau_regime_monthly.pdf} + \caption{XAUUSD 逐月 ADX / ATR\% 与组合月度 P/L 对照} + \end{figure} + + \section{各机器人逐月问题诊断} + \subsubsection{RM MidPoint EMA Cross} +累计净利润 \textbf{2,306,490} USD。\par\noindent\textbf{逐月问题：}\begin{itemize}\setlength\itemsep{2pt} +\item 2026-02 单月亏损 -27,934 USD\end{itemize} +\subsubsection{RSI Scalping XAUUSD} +累计净利润 \textbf{802,667} USD。\par\noindent\textbf{逐月问题：}\begin{itemize}\setlength\itemsep{2pt} +\item 2026-03 单月亏损 -8,347 USD\item 月度波动大，手数复利放大后尾部风险显著\end{itemize} +\subsubsection{RSI Consolidation} +累计净利润 \textbf{713,392} USD。\par\noindent\textbf{逐月问题：}\begin{itemize}\setlength\itemsep{2pt} +\item 2026-02 单月亏损 -183,752 USD\end{itemize} +\subsubsection{RSI Scalping BTCUSD} +累计净利润 \textbf{316,609} USD。\par\noindent\textbf{逐月问题：}\begin{itemize}\setlength\itemsep{2pt} +\item 2025-01 单月亏损 -4,375 USD\item 月度波动大，手数复利放大后尾部风险显著\end{itemize} +\subsubsection{RM MidPoint RSI Follow} +累计净利润 \textbf{162,787} USD。\par\noindent\textbf{逐月问题：}\begin{itemize}\setlength\itemsep{2pt} +\item 2026-04 单月亏损 -362,412 USD\item 亏损月份 (25) 多于盈利月份 (11)\item 近 3 个月转弱，存在 regime change 迹象\end{itemize} +\subsubsection{SuperEMA} +累计净利润 \textbf{70,153} USD。\par\noindent\textbf{逐月问题：}\begin{itemize}\setlength\itemsep{2pt} +\item 2026-04 单月亏损 -291,986 USD\item 近 3 个月转弱，存在 regime change 迹象\end{itemize} +\subsubsection{RM MidPoint RSI Reverse} +累计净利润 \textbf{61,533} USD。\par\noindent\textbf{逐月问题：}\begin{itemize}\setlength\itemsep{2pt} +\item 2026-03 单月亏损 -51,238 USD\item 近 3 个月转弱，存在 regime change 迹象\end{itemize} +\subsubsection{RSI CrossOver Reversal} +累计净利润 \textbf{59,250} USD。\par\noindent\textbf{逐月问题：}\begin{itemize}\setlength\itemsep{2pt} +\item 2026-05 单月亏损 -42,049 USD\end{itemize} +\subsubsection{RSI Scalping TSLA} +累计净利润 \textbf{56,541} USD。\par\noindent\textbf{逐月问题：}\begin{itemize}\setlength\itemsep{2pt} +\item 2026-03 单月亏损 -17,900 USD\item 月度波动大，手数复利放大后尾部风险显著\item 近 3 个月转弱，存在 regime change 迹象\end{itemize} +\subsubsection{RSI Asian AUDUSD} +累计净利润 \textbf{37,210} USD。\par\noindent\textbf{逐月问题：}\begin{itemize}\setlength\itemsep{2pt} +\item 2026-05 单月亏损 -11,600 USD\end{itemize} +\subsubsection{Darvas Box} +累计净利润 \textbf{20,743} USD。\par\noindent\textbf{逐月问题：}\begin{itemize}\setlength\itemsep{2pt} +\item 2026-05 单月亏损 -23,932 USD\item 亏损月份 (18) 多于盈利月份 (12)\item 近 3 个月转弱，存在 regime change 迹象\end{itemize} +\subsubsection{EMA Slope Distance} +累计净利润 \textbf{17,148} USD。\par\noindent\textbf{逐月问题：}\begin{itemize}\setlength\itemsep{2pt} +\item 2026-04 单月亏损 -59,622 USD\item 近 3 个月转弱，存在 regime change 迹象\end{itemize} +\subsubsection{RSI Scalping NVDA} +累计净利润 \textbf{8,626} USD。\par\noindent\textbf{逐月问题：}\begin{itemize}\setlength\itemsep{2pt} +\item 2026-01 单月亏损 -13,562 USD\item 月度波动大，手数复利放大后尾部风险显著\end{itemize} +\subsubsection{USDJPY Buster} +累计净利润 \textbf{-1,029} USD。\par\noindent\textbf{逐月问题：}\begin{itemize}\setlength\itemsep{2pt} +\item 2026-05 单月亏损 -131,163 USD\end{itemize} +\subsubsection{RSI Scalping AAPL} +累计净利润 \textbf{-3,632} USD。\par\noindent\textbf{逐月问题：}\begin{itemize}\setlength\itemsep{2pt} +\item 2026-01 单月亏损 -4,760 USD\item 亏损月份 (19) 多于盈利月份 (16)\item 月度波动大，手数复利放大后尾部风险显著\end{itemize} +\subsubsection{RSI Asian EURUSD} +累计净利润 \textbf{-11,874} USD。\par\noindent\textbf{逐月问题：}\begin{itemize}\setlength\itemsep{2pt} +\item 2026-04 单月亏损 -13,390 USD\end{itemize} +\subsubsection{SimpleTrendline} +累计净利润 \textbf{-656,869} USD。\par\noindent\textbf{逐月问题：}\begin{itemize}\setlength\itemsep{2pt} +\item 2026-05 单月亏损 -570,029 USD\item 亏损月份 (19) 多于盈利月份 (17)\item 对冲型策略：多空均有信号，需分方向评估而非整体关停\end{itemize} + + \section{分品种月度 P/L} + \begin{figure}[H] + \centering + \includegraphics[width=0.95\textwidth]{figures/symbol_monthly.pdf} + \caption{主要交易品种逐月净利润} + \end{figure} + + \section{改进路线图} + \begin{enumerate} + \item \textbf{P0 风控：}设置 ORCH\_MaxBalanceScale 上限、每机器人 max lot cap；XAUUSD 总 exposure 上限。 + \item \textbf{P1 精简：}关闭 RRA EURUSD、RS AAPL；SuperEMA 降权；RS NVDA 观察。 + \item \textbf{P2 SimpleTrendline：}分方向/分品种调参，震荡月（低 ADX + 高 ATR）减半 LOT，勿整体删除。 + \item \textbf{P3 验证：}固定手数复测 2023--2026；Walk-forward 2026 Q1 作为 OOS。 + \item \textbf{P4 监控：}月度 dashboard 跟踪 RM EMA Cross 与 ST 多空比、ADX 过滤命中率。 + \end{enumerate} + + \appendix + \section{数据来源} + 报告 HTML: ReportTester-*.html；K 线: MT5 XAUUSD H1；成交归因基于 order comment FIFO。 + +\end{document} diff --git a/frontline/cluster-latest/reports/generate_evaluation.py b/frontline/cluster-latest/reports/generate_evaluation.py new file mode 100644 index 0000000..78d5e14 --- /dev/null +++ b/frontline/cluster-latest/reports/generate_evaluation.py @@ -0,0 +1,772 @@ +#!/usr/bin/env python3 +"""Generate cluster backtest evaluation: charts + LaTeX PDF.""" +from __future__ import annotations + +import json +import re +import subprocess +import textwrap +from collections import defaultdict +from dataclasses import dataclass +from datetime import datetime +from html import unescape +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.dates as mdates +import matplotlib.pyplot as plt +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd +from matplotlib.patches import Rectangle + +ROOT = Path(__file__).resolve().parent + + +def _find_tester_report() -> Path: + """Locate MT5 Strategy Tester HTML (ReportTester-*.html) in cluster-latest.""" + candidates = sorted(ROOT.parent.glob("ReportTester*.html"), key=lambda p: p.stat().st_mtime, reverse=True) + if not candidates: + raise FileNotFoundError( + "No ReportTester*.html found. Export from MT5 Strategy Tester into frontline/cluster-latest/" + ) + return candidates[0] + + +REPORT_HTML = _find_tester_report() +FIG_DIR = ROOT / "figures" +DATA_DIR = ROOT / "data" +TEX_FILE = ROOT / "cluster_evaluation.tex" + +plt.rcParams.update({ + "figure.dpi": 150, + "savefig.dpi": 150, + "font.size": 9, + "axes.titlesize": 10, + "axes.labelsize": 9, +}) + +STRATEGY_META = { + "RM_EMA_Cross": {"name": "RM MidPoint EMA Cross", "group": "gold_core", "type": "trend"}, + "RM_RSI_Follow": {"name": "RM MidPoint RSI Follow", "group": "gold_core", "type": "trend"}, + "RM_RSI_Reverse": {"name": "RM MidPoint RSI Reverse", "group": "gold_core", "type": "mean_rev"}, + "RS_XAUUSD": {"name": "RSI Scalping XAUUSD", "group": "gold_core", "type": "scalp"}, + "RCO_RSIConsolidation": {"name": "RSI Consolidation", "group": "gold_core", "type": "range"}, + "RS_BTCUSD": {"name": "RSI Scalping BTCUSD", "group": "crypto", "type": "scalp"}, + "RS_TSLA": {"name": "RSI Scalping TSLA", "group": "equity", "type": "scalp"}, + "RS_NVDA": {"name": "RSI Scalping NVDA", "group": "equity", "type": "scalp"}, + "RS_APPL": {"name": "RSI Scalping AAPL", "group": "equity", "type": "scalp"}, + "RC_RSICrossOver": {"name": "RSI CrossOver Reversal", "group": "gold_core", "type": "reversal"}, + "SE_SuperEMA": {"name": "SuperEMA", "group": "gold_core", "type": "trend"}, + "DB_DarvasBox": {"name": "Darvas Box", "group": "gold_core", "type": "breakout"}, + "ES_EMASlope": {"name": "EMA Slope Distance", "group": "gold_core", "type": "trend"}, + "ST_SimpleTrendline": {"name": "SimpleTrendline", "group": "multi", "type": "hedge"}, + "RRA_EURUSD": {"name": "RSI Asian EURUSD", "group": "fx", "type": "session"}, + "RRA_AUDUSD": {"name": "RSI Asian AUDUSD", "group": "fx", "type": "session"}, + "UB_USDJPY": {"name": "USDJPY Buster", "group": "fx", "type": "breakout"}, +} + + +def classify_comment(c: str, symbol: str = "") -> str | None: + c = c.strip() + if not c: + return None + cl = c.lower() + if "darvas" in cl: + return "DB_DarvasBox" + if "ema cross distance" in cl: + return "ES_EMASlope" + if "ema crossover trade" in cl: + return "RM_EMA_Cross" + if c in ("Buy Order", "Sell Order"): + return "RC_RSICrossOver" + if "united superema" in cl: + return "SE_SuperEMA" + if "rsiconsolidation" in cl.replace(" ", ""): + return "RCO_RSIConsolidation" + if "simpletrendline" in cl.replace(" ", ""): + return "ST_SimpleTrendline" + if "rsi overbought crossover" in cl or "rsi oversold crossover" in cl: + return "RRA_EURUSD" if "EUR" in symbol else "RRA_AUDUSD" if "AUD" in symbol else "RRA_Asian" + if c.startswith("UB range"): + return "UB_USDJPY" + if "rsi follow" in cl: + return "RM_RSI_Follow" + if "rsi reverse" in cl: + return "RM_RSI_Reverse" + if "rsi scalping" in cl: + sym_map = { + "AAPL.NAS": "RS_APPL", "ADBE.NAS": "RS_ADBE", "BTCUSD": "RS_BTCUSD", + "NVDA.NAS": "RS_NVDA", "TSLA.NAS": "RS_TSLA", "XAUUSD": "RS_XAUUSD", "MU.NAS": "RS_MU", + } + return sym_map.get(symbol, f"RS_{symbol}") + if c.startswith("sl ") or c.startswith("tp ") or c == "end of test": + return None + return None + + +def st_side(comment: str) -> str | None: + cl = comment.lower().replace(" ", "") + if "simpletrendlinebuy" in cl: + return "long" + if "simpletrendlinesell" in cl: + return "short" + return None + + +def parse_num(s: str) -> float: + s = s.strip().replace(" ", "").replace(",", "") + if not s: + return 0.0 + if s.endswith("K"): + return float(s[:-1]) * 1000 + return float(s) + + +def parse_deals(html: str) -> list[dict]: + marker = '

    ' + start = html.find(marker) + sub = html[start:] if start >= 0 else html + row_re = re.compile( + r"align=right>([^<]*)(\d+)([^<]*)([^<]*)" + r"([^<]*)([^<]*)([^<]*)(\d+)([^<]*)" + r"([^<]*)([^<]*)([^<]*)([^<]*)", + re.I, + ) + open_map: dict[str, str] = {} + open_side: dict[str, str] = {} + open_stack: dict[str, list[tuple[str, str, str | None]]] = defaultdict(list) + deals = [] + + for row in row_re.findall(sub): + time_s, _did, symbol, typ, direction, _vol, _price, order, comm, swap, profit, balance, comment = row + if typ.strip().lower() == "balance": + continue + net = parse_num(profit) + parse_num(comm) + parse_num(swap) + comment = unescape(comment.strip()) + symbol = symbol.strip() + direction = direction.strip().lower() + strategy = classify_comment(comment, symbol) + side = st_side(comment) if strategy == "ST_SimpleTrendline" else None + + if direction == "in": + if strategy: + open_map[order] = strategy + if side: + open_side[order] = side + open_stack[symbol].append((order, strategy, side)) + continue + if direction != "out": + continue + + if strategy is None: + if open_stack[symbol]: + _o, strategy, side = open_stack[symbol].pop(0) + elif order in open_map: + strategy = open_map[order] + side = open_side.get(order) + else: + strategy = "UNATTRIBUTED" + elif open_stack[symbol]: + # explicit close comment: still consume FIFO slot for side/symbol match + for i, (o, s, sd) in enumerate(open_stack[symbol]): + if s == strategy: + _o, _, side = open_stack[symbol].pop(i) + break + + open_map.pop(order, None) + open_side.pop(order, None) + open_stack[symbol] = [(o, s, sd) for o, s, sd in open_stack[symbol] if o != order] + + try: + ts = pd.to_datetime(time_s, format="%Y.%m.%d %H:%M:%S") + except Exception: + ts = pd.to_datetime(time_s.replace(".", "-", 2)) + + deals.append({ + "time": ts, + "symbol": symbol, + "strategy": strategy, + "side": side, + "net": net, + "balance": parse_num(balance), + "comment": comment, + }) + return deals + + +def load_xau_h1(start: datetime, end: datetime) -> pd.DataFrame: + if not mt5.initialize(): + raise RuntimeError("MT5 init failed") + sym = "XAUUSD" + if not mt5.symbol_select(sym, True): + for alt in ("GOLD", "XAUUSDm", "XAUUSD."): + if mt5.symbol_select(alt, True): + sym = alt + break + rates = mt5.copy_rates_range(sym, mt5.TIMEFRAME_H1, start, end) + mt5.shutdown() + if rates is None or len(rates) < 100: + raise RuntimeError("No XAUUSD H1 data from MT5") + df = pd.DataFrame(rates) + df["time"] = pd.to_datetime(df["time"], unit="s") + df.set_index("time", inplace=True) + return df + + +def market_features(df: pd.DataFrame) -> pd.DataFrame: + out = df.copy() + out["ret"] = out["close"].pct_change() + out["ema20"] = out["close"].ewm(span=20).mean() + out["ema50"] = out["close"].ewm(span=50).mean() + hl = out["high"] - out["low"] + hc = (out["high"] - out["close"].shift()).abs() + lc = (out["low"] - out["close"].shift()).abs() + tr = pd.concat([hl, hc, lc], axis=1).max(axis=1) + out["atr14"] = tr.rolling(14).mean() + out["atr_pct"] = out["atr14"] / out["close"] * 100 + up = out["high"].diff() + down = -out["low"].diff() + plus_dm = np.where((up > down) & (up > 0), up, 0.0) + minus_dm = np.where((down > up) & (down > 0), down, 0.0) + atr = out["atr14"] + plus_di = 100 * pd.Series(plus_dm, index=out.index).rolling(14).mean() / atr + minus_di = 100 * pd.Series(minus_dm, index=out.index).rolling(14).mean() / atr + dx = (plus_di - minus_di).abs() / (plus_di + minus_di) * 100 + out["adx14"] = dx.rolling(14).mean() + out["trend_slope"] = (out["ema20"] - out["ema50"]) / out["close"] * 100 + out["chop"] = out["ret"].rolling(24).std() * np.sqrt(24) * 100 + return out + + +def find_drawdowns(equity: pd.Series, top_n: int = 5) -> list[dict]: + peak = equity.cummax() + dd = equity - peak + dd_pct = dd / peak.replace(0, np.nan) * 100 + episodes = [] + in_dd = False + start = None + trough_t = None + trough_v = 0.0 + peak_v = 0.0 + for t, v in dd.items(): + if v < -1 and not in_dd: + in_dd = True + start = t + trough_t = t + trough_v = v + peak_v = peak.loc[t] + elif in_dd: + if v < trough_v: + trough_v = v + trough_t = t + if v >= -0.5: + episodes.append({ + "start": start, "trough": trough_t, "end": t, + "depth_usd": abs(trough_v), "depth_pct": abs(trough_v / peak_v * 100) if peak_v else 0, + }) + in_dd = False + if in_dd: + episodes.append({ + "start": start, "trough": trough_t, "end": equity.index[-1], + "depth_usd": abs(trough_v), "depth_pct": abs(trough_v / peak_v * 100) if peak_v else 0, + }) + episodes.sort(key=lambda x: x["depth_usd"], reverse=True) + return episodes[:top_n] + + +def plot_candles(ax, df: pd.DataFrame, title: str): + sub = df.tail(min(120, len(df))) + xs = np.arange(len(sub)) + for i, (t, row) in enumerate(sub.iterrows()): + o, h, l, c = row["open"], row["high"], row["low"], row["close"] + color = "#26a69a" if c >= o else "#ef5350" + ax.plot([i, i], [l, h], color=color, linewidth=0.8) + ax.add_patch(Rectangle((i - 0.35, min(o, c)), 0.7, abs(c - o) or 0.5, facecolor=color, edgecolor=color)) + ax.plot(xs, sub["ema20"].values, color="#1565c0", linewidth=1, label="EMA20") + ax.plot(xs, sub["ema50"].values, color="#ff8f00", linewidth=1, label="EMA50") + ax.set_title(title) + ax.set_xlim(-1, len(sub)) + ax.legend(loc="upper left", fontsize=7) + step = max(1, len(sub) // 6) + ax.set_xticks(xs[::step]) + ax.set_xticklabels([sub.index[j].strftime("%m-%d") for j in range(0, len(sub), step)], rotation=30, ha="right") + + +def monthly_issue_text(strat: str, monthly: pd.Series, meta: dict) -> list[str]: + issues = [] + neg = monthly[monthly < 0] + if len(neg) > 0: + worst_m = neg.idxmin() + issues.append(f"{worst_m} 单月亏损 {neg.min():,.0f} USD") + pos = monthly[monthly > 0] + if len(pos) > 0 and len(neg) > len(pos): + issues.append(f"亏损月份 ({len(neg)}) 多于盈利月份 ({len(pos)})") + if strat == "ST_SimpleTrendline": + issues.append("对冲型策略：多空均有信号，需分方向评估而非整体关停") + if meta.get("type") == "scalp" and monthly.std() > abs(monthly.mean()) * 2: + issues.append("月度波动大，手数复利放大后尾部风险显著") + if monthly.tail(3).sum() < 0 and monthly.sum() > 0: + issues.append("近 3 个月转弱，存在 regime change 迹象") + return issues[:4] + + +def latex_escape(s: str) -> str: + return s.replace("\\", "\\textbackslash{}").replace("_", "\\_").replace("&", "\\&").replace("%", "\\%") + + +def build_latex(summary: dict) -> str: + s = summary + robots_tex = [] + for strat in s["strategy_order"]: + meta = STRATEGY_META.get(strat, {"name": strat, "type": "other"}) + m = s["monthly"].get(strat, {}) + issues = s["issues"].get(strat, []) + total = s["totals"].get(strat, 0) + robots_tex.append( + f"\\subsubsection{{{latex_escape(meta['name'])}}}\n" + f"累计净利润 \\textbf{{{total:,.0f}}} USD。" + + ("\\par\\noindent\\textbf{逐月问题：}\\begin{itemize}\\setlength\\itemsep{2pt}\n" + + "".join(f"\\item {latex_escape(x)}" for x in issues) + + "\\end{itemize}" if issues else "") + ) + + dd_rows = [] + for i, ep in enumerate(s["drawdowns"][:5], 1): + dd_rows.append( + f"{i} & {ep['start'].strftime('%Y-%m-%d')} & {ep['trough'].strftime('%Y-%m-%d')} & " + f"{ep['end'].strftime('%Y-%m-%d')} & {ep['depth_usd']:,.0f} & {ep['depth_pct']:.1f}\\% \\\\" + ) + + st_total = s["totals"].get("ST_SimpleTrendline", 0) + body = f""" + \\section{{执行摘要}} + 本报告基于 MT5 策略测试器 HTML 报告（初始资金 \\$3,000，杠杆 1:1000，余额复利缩放）对 UnitedEA 集群进行逐机器人、逐月、回撤期市场结构分析。 + + \\begin{{table}}[H] + \\centering + \\caption{{组合层面关键指标}} + \\begin{{tabular}}{{lr}} + \\toprule + 指标 & 数值 \\\\ + \\midrule + 总净盈利 & {s['portfolio']['net_profit']:,.0f} USD \\\\ + 盈利因子 & {s['portfolio']['pf']:.2f} \\\\ + 夏普比率 & {s['portfolio']['sharpe']:.2f} \\\\ + 最大净值回撤 & {s['portfolio']['max_dd_pct']:.2f}\\% \\\\ + 总交易笔数 & {s['portfolio']['trades']:,} \\\\ + 胜率 & {s['portfolio']['win_rate']:.2f}\\% \\\\ + \\bottomrule + \\end{{tabular}} + \\end{{table}} + + \\textbf{{核心结论：}} + \\begin{{itemize}} + \\item 利润高度集中于 XAUUSD 上的 RM EMA Cross、RSI Scalping XAU、RSI Consolidation；名义多品种分散，实际为黄金 beta 集群。 + \\item 2025 末至 2026 初复利手数放大后，收益与回撤同步膨胀；评估 edge 需配合固定手数对照。 + \\item SimpleTrendline 为\\textbf{{对冲型}}（多空双向），整体虽亏但分方向与品种后可能仍有价值，不宜简单一刀切关闭。 + \\item 最大回撤期 XAUUSD 呈现更高 ATR、更低 ADX（震荡/假突破增多），趋势型与突破型策略易共振亏损。 + \\end{{itemize}} + + \\section{{组合曲线与回撤}} + \\begin{{figure}}[H] + \\centering + \\includegraphics[width=0.95\\textwidth]{{figures/equity_drawdown.pdf}} + \\caption{{净值曲线与回撤百分比}} + \\end{{figure}} + + \\begin{{table}}[H] + \\centering + \\caption{{主要回撤 episode（Top 5）}} + \\begin{{tabular}}{{clllrr}} + \\toprule + \\# & 起始 & 谷底 & 恢复 & 深度(USD) & 深度(\\%) \\\\ + \\midrule + {chr(10).join(dd_rows)} + \\bottomrule + \\end{{tabular}} + \\end{{table}} + + \\section{{逐机器人月度热力与累计贡献}} + \\begin{{figure}}[H] + \\centering + \\includegraphics[width=0.98\\textwidth]{{figures/monthly_heatmap.pdf}} + \\caption{{各机器人逐月净利润热力图（USD）}} + \\end{{figure}} + + \\begin{{figure}}[H] + \\centering + \\includegraphics[width=0.85\\textwidth]{{figures/strategy_contribution.pdf}} + \\caption{{各机器人累计净利润贡献}} + \\end{{figure}} + + \\section{{SimpleTrendline：对冲型专项分析}} + SimpleTrendline 基于高周期 MA 交叉趋势线，\\textbf{{多空双向}}触发，设计目标是对冲而非单边趋势押注。 + 回测合计 {st_total:,.0f} USD，但 2026 年在黄金高位剧烈震荡中大幅回撤。 + + \\begin{{figure}}[H] + \\centering + \\includegraphics[width=0.95\\textwidth]{{figures/st_long_short_monthly.pdf}} + \\caption{{SimpleTrendline 多空方向逐月 P/L 分解}} + \\end{{figure}} + + \\begin{{figure}}[H] + \\centering + \\includegraphics[width=0.95\\textwidth]{{figures/st_by_symbol_monthly.pdf}} + \\caption{{SimpleTrendline 分品种（XAU/GER/BTC）逐月 P/L}} + \\end{{figure}} + + \\begin{{figure}}[H] + \\centering + \\includegraphics[width=0.98\\textwidth]{{figures/top6_monthly.pdf}} + \\caption{{核心六机器人逐月 P/L 明细}} + \\end{{figure}} + + \\textbf{{建议：}}保留策略框架，但 (1) 在 ADX>{s['regime']['dd_adx']:.0f} 且 ATR 分位>{s['regime']['dd_atr_pct']:.0f}\\% 的强趋势月减少逆势侧仓位； + (2) 与 RM/RCO 等同向 exposure 设上限；(3) 2026 类高位宽幅震荡月单独降 LOT。 + + \\section{{回撤期 vs 平稳期：XAUUSD H1 市场结构}} + 从 MT5 拉取 XAUUSD H1。回撤窗口取 Top3 drawdown episode（{', '.join(s['regime'].get('dd_months', []))}），对照期为 2024-03 至 2024-09 平稳盈利段。 + + \\begin{{table}}[H] + \\centering + \\caption{{市场特征对比（亏损月 vs 对照月）}} + \\begin{{tabular}}{{lrr}} + \\toprule + 特征 & 亏损月均值 & 对照月均值 \\\\ + \\midrule + ADX(14) & {s['regime']['dd_adx']:.1f} & {s['regime']['calm_adx']:.1f} \\\\ + ATR\\% & {s['regime']['dd_atr_pct']:.2f} & {s['regime']['calm_atr_pct']:.2f} \\\\ + 日收益波动(chop) & {s['regime']['dd_chop']:.2f} & {s['regime']['calm_chop']:.2f} \\\\ + EMA20-50 斜率\\% & {s['regime']['dd_slope']:.3f} & {s['regime']['calm_slope']:.3f} \\\\ + \\bottomrule + \\end{{tabular}} + \\end{{table}} + + \\begin{{figure}}[H] + \\centering + \\begin{{subfigure}}{{0.48\\textwidth}} + \\includegraphics[width=\\textwidth]{{figures/xau_dd_candles.pdf}} + \\caption{{回撤谷底附近 K 线 + EMA}} + \\end{{subfigure}} + \\hfill + \\begin{{subfigure}}{{0.48\\textwidth}} + \\includegraphics[width=\\textwidth]{{figures/xau_calm_candles.pdf}} + \\caption{{盈利平稳期 K 线 + EMA}} + \\end{{subfigure}} + \\caption{{XAUUSD H1 形态对比}} + \\end{{figure}} + + \\begin{{figure}}[H] + \\centering + \\includegraphics[width=0.95\\textwidth]{{figures/xau_regime_monthly.pdf}} + \\caption{{XAUUSD 逐月 ADX / ATR\\% 与组合月度 P/L 对照}} + \\end{{figure}} + + \\section{{各机器人逐月问题诊断}} + {chr(10).join(robots_tex)} + + \\section{{分品种月度 P/L}} + \\begin{{figure}}[H] + \\centering + \\includegraphics[width=0.95\\textwidth]{{figures/symbol_monthly.pdf}} + \\caption{{主要交易品种逐月净利润}} + \\end{{figure}} + + \\section{{改进路线图}} + \\begin{{enumerate}} + \\item \\textbf{{P0 风控：}}设置 ORCH\\_MaxBalanceScale 上限、每机器人 max lot cap；XAUUSD 总 exposure 上限。 + \\item \\textbf{{P1 精简：}}关闭 RRA EURUSD、RS AAPL；SuperEMA 降权；RS NVDA 观察。 + \\item \\textbf{{P2 SimpleTrendline：}}分方向/分品种调参，震荡月（低 ADX + 高 ATR）减半 LOT，勿整体删除。 + \\item \\textbf{{P3 验证：}}固定手数复测 2023--2026；Walk-forward 2026 Q1 作为 OOS。 + \\item \\textbf{{P4 监控：}}月度 dashboard 跟踪 RM EMA Cross 与 ST 多空比、ADX 过滤命中率。 + \\end{{enumerate}} + + \\appendix + \\section{{数据来源}} + 报告 HTML: ReportTester-*.html（MT5 导出）；K 线: MT5 XAUUSD H1；成交归因基于 order comment FIFO。 + """ + + header = textwrap.dedent(r""" + \documentclass[11pt,a4paper]{ctexart} + \usepackage{graphicx} + \usepackage{booktabs} + \usepackage{geometry} + \usepackage{float} + \usepackage{caption} + \usepackage{subcaption} + \usepackage{hyperref} + \usepackage{xcolor} + \geometry{margin=2.2cm} + \title{UnitedEA 集群回测综合评估报告\\ \large 2023.07 -- 2026.06 · 逐月诊断 · 回撤期 K 线对比} + \author{自动生成 · cluster-latest/main.mq5} + \date{\today} + + \begin{document} + \maketitle + \tableofcontents + \newpage + """) + + return header + body + "\n\\end{document}\n" + + +def main(): + FIG_DIR.mkdir(parents=True, exist_ok=True) + DATA_DIR.mkdir(parents=True, exist_ok=True) + + html = REPORT_HTML.read_text(encoding="utf-16") + deals = parse_deals(html) + df = pd.DataFrame(deals).sort_values("time") + df["month"] = df["time"].dt.to_period("M").astype(str) + + # Portfolio summary from HTML header + m_net = re.search(r"总净盈利:\s*]*>([^<]+)", html) + m_pf = re.search(r"盈利因子:\s*]*>([^<]+)", html) + m_sh = re.search(r"夏普比率:\s*]*>([^<]+)", html) + m_dd = re.search(r"相对净值亏损:\s*]*>([0-9.]+)%", html) + m_tr = re.search(r"交易总计:\s*]*>([^<]+)", html) + m_wr = re.search(r"盈利交易 \(% 全部\):\s*]*>[0-9]+ \(([0-9.]+)%\)", html) + + portfolio = { + "net_profit": parse_num(m_net.group(1)) if m_net else df["net"].sum(), + "pf": float(m_pf.group(1)) if m_pf else 0, + "sharpe": float(m_sh.group(1)) if m_sh else 0, + "max_dd_pct": float(m_dd.group(1)) if m_dd else 0, + "trades": int(m_tr.group(1).replace(" ", "")) if m_tr else len(df), + "win_rate": float(m_wr.group(1)) if m_wr else 0, + } + + # Equity curve + eq = df.groupby("time")["balance"].last().sort_index() + eq_daily = eq.resample("D").last().ffill() + peak = eq_daily.cummax() + dd_pct = (eq_daily - peak) / peak * 100 + + fig, axes = plt.subplots(2, 1, figsize=(11, 5), sharex=True, gridspec_kw={"height_ratios": [3, 1]}) + axes[0].semilogy(eq_daily.index, eq_daily.values, color="#1565c0", linewidth=1.2) + axes[0].set_ylabel("Balance (USD, log)") + axes[0].set_title("Portfolio Equity") + axes[0].grid(True, alpha=0.3) + axes[1].fill_between(dd_pct.index, dd_pct.values, 0, color="#ef5350", alpha=0.5) + axes[1].set_ylabel("Drawdown %") + axes[1].set_xlabel("Date") + axes[1].grid(True, alpha=0.3) + fig.autofmt_xdate() + fig.tight_layout() + fig.savefig(FIG_DIR / "equity_drawdown.pdf") + plt.close() + + drawdowns = find_drawdowns(eq_daily, 5) + + # Monthly by strategy + monthly_strat = df.pivot_table(index="month", columns="strategy", values="net", aggfunc="sum", fill_value=0) + totals = df.groupby("strategy")["net"].sum().sort_values(ascending=False) + strategy_order = [s for s in totals.index if s != "UNATTRIBUTED"] + + # Heatmap - top strategies + top_strats = strategy_order[:14] + heat = monthly_strat[top_strats].T + fig, ax = plt.subplots(figsize=(14, 7)) + vmax = np.percentile(np.abs(heat.values), 95) + im = ax.imshow(heat.values, aspect="auto", cmap="RdYlGn", vmin=-vmax, vmax=vmax) + ax.set_yticks(range(len(top_strats))) + ax.set_yticklabels([STRATEGY_META.get(s, {}).get("name", s) for s in top_strats], fontsize=7) + ax.set_xticks(range(len(heat.columns))) + ax.set_xticklabels(heat.columns, rotation=45, ha="right", fontsize=7) + ax.set_title("Monthly Net P/L by Robot (USD)") + plt.colorbar(im, ax=ax, shrink=0.6) + fig.tight_layout() + fig.savefig(FIG_DIR / "monthly_heatmap.pdf") + plt.close() + + # Contribution bar + fig, ax = plt.subplots(figsize=(9, 5)) + colors = ["#2e7d32" if v >= 0 else "#c62828" for v in totals[strategy_order]] + ax.barh([STRATEGY_META.get(s, {}).get("name", s)[:28] for s in strategy_order], totals[strategy_order].values, color=colors) + ax.axvline(0, color="black", linewidth=0.8) + ax.set_xlabel("Net Profit (USD)") + ax.set_title("Cumulative Contribution by Robot") + fig.tight_layout() + fig.savefig(FIG_DIR / "strategy_contribution.pdf") + plt.close() + + # ST long/short monthly + st_df = df[df["strategy"] == "ST_SimpleTrendline"].copy() + st_monthly = {"long": {}, "short": {}} + for side in ("long", "short"): + sub = st_df[st_df["side"] == side] + if len(sub): + st_monthly[side] = sub.groupby("month")["net"].sum().to_dict() + all_months = sorted(monthly_strat.index) + long_s = [st_monthly["long"].get(m, 0) for m in all_months] + short_s = [st_monthly["short"].get(m, 0) for m in all_months] + x = np.arange(len(all_months)) + fig, ax = plt.subplots(figsize=(12, 4)) + ax.bar(x - 0.2, long_s, 0.4, label="Long", color="#26a69a") + ax.bar(x + 0.2, short_s, 0.4, label="Short", color="#ef5350") + ax.axhline(0, color="black", linewidth=0.6) + ax.set_xticks(x) + ax.set_xticklabels(all_months, rotation=45, ha="right", fontsize=7) + ax.set_ylabel("USD") + ax.set_title("SimpleTrendline: Long vs Short Monthly P/L") + ax.legend() + fig.tight_layout() + fig.savefig(FIG_DIR / "st_long_short_monthly.pdf") + plt.close() + + # ST by symbol + st_sym = st_df.groupby(["month", "symbol"])["net"].sum().unstack(fill_value=0) + if len(st_sym.columns): + fig, ax = plt.subplots(figsize=(12, 4)) + st_sym.plot(kind="bar", stacked=True, ax=ax, width=0.85) + ax.axhline(0, color="black", linewidth=0.6) + ax.set_title("SimpleTrendline Monthly P/L by Symbol") + ax.set_ylabel("USD") + plt.xticks(rotation=45, ha="right", fontsize=7) + ax.legend(fontsize=7, loc="upper left") + fig.tight_layout() + fig.savefig(FIG_DIR / "st_by_symbol_monthly.pdf") + plt.close() + + # Top robots monthly lines + top6 = strategy_order[:6] + fig, axes = plt.subplots(3, 2, figsize=(12, 7), sharex=True) + for ax, strat in zip(axes.flat, top6): + if strat not in monthly_strat.columns: + continue + ser = monthly_strat[strat] + ax.bar(ser.index, ser.values, color=np.where(ser.values >= 0, "#66bb6a", "#ef5350"), width=0.8) + ax.axhline(0, color="black", linewidth=0.5) + ax.set_title(STRATEGY_META.get(strat, {}).get("name", strat), fontsize=8) + ax.tick_params(axis="x", labelrotation=45, labelsize=6) + fig.suptitle("Top 6 Robots — Monthly P/L", fontsize=11) + fig.tight_layout() + fig.savefig(FIG_DIR / "top6_monthly.pdf") + plt.close() + + # Symbol monthly + sym_m = df.pivot_table(index="month", columns="symbol", values="net", aggfunc="sum", fill_value=0) + main_syms = sym_m.sum().abs().sort_values(ascending=False).head(6).index + fig, ax = plt.subplots(figsize=(12, 5)) + bottom = np.zeros(len(sym_m)) + for sym in main_syms: + ax.bar(sym_m.index, sym_m[sym].values, bottom=bottom, label=sym) + bottom += sym_m[sym].values + ax.axhline(0, color="black", linewidth=0.6) + ax.legend(fontsize=7) + ax.set_title("Monthly P/L by Symbol (stacked)") + plt.xticks(rotation=45, ha="right", fontsize=7) + fig.tight_layout() + fig.savefig(FIG_DIR / "symbol_monthly.pdf") + plt.close() + + # XAUUSD regime analysis + start = datetime(2023, 7, 1) + end = datetime(2026, 6, 4) + xau = load_xau_h1(start, end) + xau = market_features(xau) + xau.to_csv(DATA_DIR / "xau_h1_features.csv") + + port_monthly = df.groupby("month")["net"].sum() + xau_m = xau.resample("ME").agg({"adx14": "mean", "atr_pct": "mean", "chop": "mean", "trend_slope": "mean", "close": "last"}) + xau_m.index = xau_m.index.strftime("%Y-%m") + + # Regime: portfolio drawdown windows vs calm reference (2024-03..2024-09) + dd_months: set[str] = set() + for ep in drawdowns[:3]: + t0, t1 = pd.Timestamp(ep["start"]), pd.Timestamp(ep["trough"]) + for ts in pd.date_range(t0.to_period("M").to_timestamp(), t1.to_period("M").to_timestamp(), freq="MS"): + dd_months.add(ts.strftime("%Y-%m")) + calm_months = [m for m in xau_m.index if "2024-0" in m and m >= "2024-03" and m <= "2024-09"] + dd_mask = xau_m.index.isin(sorted(dd_months)) + calm_mask = xau_m.index.isin(calm_months) + + common = sorted(set(port_monthly.index) & set(xau_m.index)) + pm = port_monthly.reindex(common, fill_value=0) + regime = { + "dd_adx": float(xau_m.loc[dd_mask, "adx14"].mean()) if dd_mask.any() else 0, + "calm_adx": float(xau_m.loc[calm_mask, "adx14"].mean()) if calm_mask.any() else 0, + "dd_atr_pct": float(xau_m.loc[dd_mask, "atr_pct"].mean()) if dd_mask.any() else 0, + "calm_atr_pct": float(xau_m.loc[calm_mask, "atr_pct"].mean()) if calm_mask.any() else 0, + "dd_chop": float(xau_m.loc[dd_mask, "chop"].mean()) if dd_mask.any() else 0, + "calm_chop": float(xau_m.loc[calm_mask, "chop"].mean()) if calm_mask.any() else 0, + "dd_slope": float(xau_m.loc[dd_mask, "trend_slope"].mean()) if dd_mask.any() else 0, + "calm_slope": float(xau_m.loc[calm_mask, "trend_slope"].mean()) if calm_mask.any() else 0, + "dd_months": sorted(dd_months), + } + + # Regime monthly chart + fig, ax1 = plt.subplots(figsize=(12, 4)) + ax2 = ax1.twinx() + xs = np.arange(len(common)) + ax1.bar(xs, pm.values, color=np.where(pm.values >= 0, "#66bb6a", "#ef5350"), alpha=0.7, label="Portfolio P/L") + ax2.plot(xs, xau_m.reindex(common)["adx14"].values, color="#1565c0", marker="o", markersize=3, label="ADX") + ax2.plot(xs, xau_m.reindex(common)["atr_pct"].values * 2, color="#ff8f00", marker="s", markersize=3, label="ATR% x2") + ax1.set_xticks(xs) + ax1.set_xticklabels(common, rotation=45, ha="right", fontsize=7) + ax1.set_ylabel("Portfolio Monthly P/L") + ax2.set_ylabel("ADX / scaled ATR%") + ax1.set_title("Monthly Portfolio P/L vs XAUUSD Regime") + fig.tight_layout() + fig.savefig(FIG_DIR / "xau_regime_monthly.pdf") + plt.close() + + # Candle windows + if drawdowns: + trough = drawdowns[0]["trough"] + dd_win = xau.loc[trough - pd.Timedelta(days=10): trough + pd.Timedelta(days=10)] + calm_start = pd.Timestamp("2024-03-01") + calm_win = xau.loc[calm_start: calm_start + pd.Timedelta(days=10)] + fig, ax = plt.subplots(figsize=(8, 3.5)) + plot_candles(ax, dd_win, f"Drawdown trough window ~ {trough.strftime('%Y-%m-%d')}") + fig.tight_layout() + fig.savefig(FIG_DIR / "xau_dd_candles.pdf") + plt.close() + fig, ax = plt.subplots(figsize=(8, 3.5)) + plot_candles(ax, calm_win, "Calm period reference (2024-03)") + fig.tight_layout() + fig.savefig(FIG_DIR / "xau_calm_candles.pdf") + plt.close() + + # Issues per strategy + issues = {} + monthly_dict = {} + for strat in strategy_order: + if strat in monthly_strat.columns: + ser = monthly_strat[strat] + monthly_dict[strat] = ser.to_dict() + issues[strat] = monthly_issue_text(strat, ser, STRATEGY_META.get(strat, {})) + + summary = { + "portfolio": portfolio, + "drawdowns": drawdowns, + "strategy_order": strategy_order, + "totals": totals.to_dict(), + "monthly": monthly_dict, + "issues": issues, + "st_monthly": st_monthly, + "regime": regime, + } + (DATA_DIR / "summary.json").write_text(json.dumps(summary, default=str, indent=2), encoding="utf-8") + + tex = build_latex(summary) + TEX_FILE.write_text(tex, encoding="utf-8") + print(f"Wrote {TEX_FILE}") + print(f"Figures in {FIG_DIR}") + for _ in range(2): + subprocess.run( + ["xelatex", "-interaction=nonstopmode", "cluster_evaluation.tex"], + cwd=ROOT, + check=False, + capture_output=True, + ) + pdf = ROOT / "cluster_evaluation.pdf" + if pdf.exists(): + print(f"PDF: {pdf}") + return summary + + +if __name__ == "__main__": + main() diff --git a/frontline/cluster-latest/reports/generate_managed_account_latex.py b/frontline/cluster-latest/reports/generate_managed_account_latex.py new file mode 100644 index 0000000..6e01e0d --- /dev/null +++ b/frontline/cluster-latest/reports/generate_managed_account_latex.py @@ -0,0 +1,414 @@ +#!/usr/bin/env python3 +"""LaTeX brochure: zh / de / ar — equity curves, flowcharts, watermark.""" +from __future__ import annotations + +import argparse +import re +import shutil +import subprocess +import sys +from dataclasses import dataclass +from datetime import datetime +from io import BytesIO +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.dates as mdates +import matplotlib.pyplot as plt +import pandas as pd + +ROOT = Path(__file__).resolve().parent +sys.path.insert(0, str(ROOT.parents[2] / "backtesting" / "MT5")) + +from brochure_i18n import LOCALES, Locale, flowchart_for +from cluster_audit.united_mt5_manifest import PRODUCTION_IDS, UNITED_MT5_STRATEGIES +from cluster_audit.united_mt5_runner import mt5_terminal_data_dir, parse_report, read_text + + +def _mt5_data() -> Path: + data = mt5_terminal_data_dir() + if data is None: + raise SystemExit( + "MT5 data folder not found. Set MT5_TERMINAL_DATA_ID in .env or log into MT5 once." + ) + return data +FIG_DIR = ROOT / "figures" / "brochure" +DEPOSIT = 3000.0 +WATERMARK_TEXT = "Namelos.xyz Research" + +SM = {s["id"]: s for s in UNITED_MT5_STRATEGIES} +SYMBOL_MAP = { + "DB": "XAUUSD", "ES": "XAUUSD", "RC": "XAUUSD", "RM": "XAUUSD", + "RS_NVDA": "NVDA", "RS_TSLA": "TSLA", "RS_BTCUSD": "BTCUSD", + "RS_XAUUSD": "XAUUSD", "RS_NAS100": "NAS100", "RS_US30": "US30", + "SE": "XAUUSD", "ST_BTC": "BTCUSD", "ST_XAU": "XAUUSD", + "RRA_AUD": "AUDUSD", "RRA_GBP": "GBPUSD", "UB": "USDJPY", + "UKB": "UK100", "GB": "GER40", "U5B": "US500", +} + +plt.rcParams.update({"figure.dpi": 150, "savefig.dpi": 150, "font.size": 9, "axes.unicode_minus": False}) +try: + plt.rcParams["font.sans-serif"] = ["Microsoft YaHei", "SimHei", "Arial", "DejaVu Sans"] +except Exception: + pass + + +def parse_num(s: str) -> float: + s = s.strip().replace(" ", "").replace(",", "") + if not s: + return 0.0 + if s.endswith("K"): + return float(s[:-1]) * 1000 + if s.endswith("%"): + return float(s[:-1]) + return float(s) + + +def parse_equity_from_html(html: str) -> pd.Series: + markers = ("成交", "Deals", "Orders") + start = next((html.find(m) for m in markers if html.find(m) >= 0), -1) + sub = html[start:] if start >= 0 else html + row_re = re.compile( + r"align=right>([^<]*)(\d+)([^<]*)([^<]*)" + r"([^<]*)([^<]*)([^<]*)(\d+)([^<]*)" + r"([^<]*)([^<]*)([^<]*)([^<]*)", + re.I, + ) + points: list[tuple[datetime, float]] = [] + for row in row_re.findall(sub): + time_s, _did, _sym, typ, _dir, _vol, _price, _order, _comm, _swap, _profit, balance, _comment = row + if typ.strip().lower() == "balance": + continue + try: + t = datetime.strptime(time_s.strip(), "%Y.%m.%d %H:%M:%S") + except ValueError: + continue + try: + bal = parse_num(balance) + except ValueError: + continue + if bal > 0: + points.append((t, bal)) + if not points: + return pd.Series(dtype=float) + df = pd.DataFrame(points, columns=["time", "balance"]).sort_values("time") + return df.groupby("time")["balance"].last() + + +@dataclass +class StratResult: + sid: str + name: str + symbol: str + pf: float | None + net: float | None + sharpe: float | None + trades: int | None + fig_path: str + + +def plot_equity(eq: pd.Series, title: str, out: Path, ylabel: str, *, logy: bool = False) -> None: + if eq.empty: + return + daily = eq.resample("D").last().ffill() + if daily.iloc[0] <= 0: + daily = daily + DEPOSIT + fig, ax = plt.subplots(figsize=(6.5, 2.8)) + color = "#1565c0" if daily.iloc[-1] >= daily.iloc[0] else "#c62828" + (ax.semilogy if logy else ax.plot)(daily.index, daily.values, color=color, linewidth=1.3) + ax.axhline(DEPOSIT, color="#888", linestyle="--", linewidth=0.8, alpha=0.7) + ax.set_title(title, fontsize=10) + ax.set_ylabel(ylabel) + ax.grid(True, alpha=0.3) + ax.xaxis.set_major_formatter(mdates.DateFormatter("%Y-%m")) + fig.autofmt_xdate() + fig.tight_layout() + fig.savefig(out, bbox_inches="tight") + plt.close(fig) + + +def load_report_html(name: str) -> str | None: + for ext in (".htm", ".html"): + p = _mt5_data() / f"{name}{ext}" + if p.exists(): + return read_text(p) + return None + + +def process_strategies(loc: Locale) -> list[StratResult]: + FIG_DIR.mkdir(parents=True, exist_ok=True) + results: list[StratResult] = [] + for sid in PRODUCTION_IDS: + spec = SM[sid] + html = load_report_html(f"solo_{sid}_off") + m = parse_report(_mt5_data(), f"solo_{sid}_off") + eq = parse_equity_from_html(html) if html else pd.Series(dtype=float) + fig_name = f"equity_{sid}.pdf" + fig_path = FIG_DIR / fig_name + title = f"{sid} · {spec['name']} ({SYMBOL_MAP.get(sid, '')})" + if not eq.empty: + plot_equity(eq, title, fig_path, loc.equity_ylabel) + results.append(StratResult( + sid=sid, name=spec["name"], symbol=SYMBOL_MAP.get(sid, ""), + pf=m.get("profit_factor"), net=m.get("net_profit"), + sharpe=m.get("sharpe"), trades=m.get("total_trades"), + fig_path=f"figures/brochure/{fig_name}", + )) + combo_html = load_report_html("prod_v2_combined") + if combo_html: + combo_eq = parse_equity_from_html(combo_html) + if not combo_eq.empty: + plot_equity(combo_eq, loc.equity_combined_title, FIG_DIR / "equity_combined.pdf", + loc.equity_ylabel, logy=True) + return results + + +def tex_escape(s: str) -> str: + return s.replace("_", r"\_").replace("&", r"\&").replace("%", r"\%").replace("#", r"\#") + + +def _flowchart_minipage(r: StratResult, loc: Locale) -> list[str]: + return [ + r"\begin{minipage}[t]{0.46\textwidth}", + r"\centering", + rf"\textbf{{{tex_escape(r.sid)} · {tex_escape(r.name)}}}\\[0.15em]", + rf"\scriptsize ({tex_escape(r.symbol)})\\[0.35em]", + r"\resizebox{\linewidth}{!}{%", + flowchart_for(r.sid, loc), + r"}", + r"\end{minipage}", + ] + + +def date_str(loc: Locale) -> str: + d = datetime.now() + if loc.code == "zh": + return d.strftime("%Y年%m月%d日") + if loc.code == "ar": + return d.strftime("%Y-%m-%d") + return d.strftime("%d.%m.%Y") + + +def build_latex(results: list[StratResult], loc: Locale) -> str: + n_prof = sum(1 for r in results if (r.net or 0) > 0) + n_pf1 = sum(1 for r in results if (r.pf or 0) >= 1.0) + combo_m = parse_report(_mt5_data(), "prod_v2_combined") + pf_l, net_l, sh_l = loc.caption_pf_net_sharpe + + lines = list(loc.preamble) + lines += [ + rf"\title{{{loc.title}}}", + rf"\author{{{loc.author}}}", + rf"\date{{{date_str(loc)}}}", + r"\begin{document}", + r"\maketitle", + r"\begin{abstract}", + loc.abstract_tpl.format(n_prof=n_prof, n_pf1=n_pf1, deposit=DEPOSIT), + r"\end{abstract}", + r"\tableofcontents", + r"\newpage", + rf"\section{{{loc.s1_title}}}", + loc.s1_body, + rf"\subsection{{{loc.s1_1_title}}}", + r"\begin{itemize}", + ] + lines += [rf"\item {x}" for x in loc.s1_1_items] + lines += [ + r"\end{itemize}", + rf"\subsection{{{loc.s1_2_title}}}", + r"\begin{tabular}{ll}", + r"\toprule", + rf"{loc.table_headers[0]} & {loc.table_headers[1]} \\", + r"\midrule", + ] + for k, v in loc.table_rows: + lines.append(rf"{k} & {v} \\") + lines += [ + r"\bottomrule", + r"\end{tabular}", + r"\newpage", + rf"\section{{{loc.s2_title}}}", + loc.s2_body_tpl.format( + pf=combo_m.get("profit_factor", "—"), + sharpe=combo_m.get("sharpe", "—"), + trades=combo_m.get("total_trades", "—"), + ), + r"\begin{figure}[H]", + r"\centering", + r"\includegraphics[width=0.95\textwidth]{figures/brochure/equity_combined.pdf}", + rf"\caption{{{loc.s2_caption}}}", + r"\end{figure}", + r"\newpage", + rf"\section{{{loc.s3_title}}}", + loc.s3_body, + r"\begin{figure}[H]", + r"\centering", + ] + for i, r in enumerate(results): + if i > 0 and i % 2 == 0: + lines += [r"\end{figure}", r"\begin{figure}[H]", r"\centering"] + lines += [ + r"\begin{subfigure}[t]{0.48\textwidth}", + r"\centering", + rf"\includegraphics[width=\textwidth]{{{r.fig_path}}}", + ] + pf_s = f"{r.pf:.2f}" if r.pf else "—" + net_s = f"{r.net:,.0f}" if r.net else "—" + sh_s = f"{r.sharpe:.2f}" if r.sharpe else "—" + lines.append( + rf"\caption{{{tex_escape(r.sid)} · {tex_escape(r.name)}\\" + rf"{pf_l}={pf_s} \quad {net_l}=\${net_s} \quad {sh_l}={sh_s}}}" + ) + lines += [r"\end{subfigure}"] + if i % 2 == 0: + lines.append(r"\hfill") + lines += [ + r"\end{figure}", + r"\newpage", + rf"\section{{{loc.s4_title}}}", + r"\begin{table}[H]", + r"\centering", + rf"\caption{{{loc.s4_caption}}}", + r"\small", + r"\begin{tabular}{clrrrrr}", + r"\toprule", + rf"{loc.table_cols} \\", + r"\midrule", + ] + for r in sorted(results, key=lambda x: -(x.net or 0)): + pf_s = f"{r.pf:.2f}" if r.pf else "—" + net_s = f"{r.net:,.0f}" if r.net else "—" + sh_s = f"{r.sharpe:.2f}" if r.sharpe else "—" + tr_s = str(r.trades) if r.trades else "—" + lines.append( + rf"{tex_escape(r.sid)} & {tex_escape(r.name)} & {tex_escape(r.symbol)} " + rf"& {pf_s} & {net_s} & {sh_s} & {tr_s} \\" + ) + lines += [ + r"\bottomrule", + r"\end{tabular}", + r"\end{table}", + r"\newpage", + rf"\section{{{loc.s5_title}}}", + loc.s5_body, + ] + close_sids = {"ES", "RS_XAUUSD", "RS_US30"} + i = 0 + while i < len(results): + lines += [r"\begin{figure}[H]", r"\centering"] + lines += _flowchart_minipage(results[i], loc) + page_sids = [results[i].sid] + if i + 1 < len(results): + lines.append(r"\hfill") + lines += _flowchart_minipage(results[i + 1], loc) + page_sids.append(results[i + 1].sid) + i += 2 + else: + i += 1 + lines.append(r"\end{figure}") + for sid in page_sids: + if sid in close_sids: + lines.append(loc.close_note) + lines.append(r"\vspace{0.25cm}") + lines += [ + rf"\section{{{loc.s6_title}}}", + r"\begin{itemize}", + ] + lines += [rf"\item {x}" for x in loc.s6_items] + lines += [ + r"\end{itemize}", + rf"\section*{{{ 'إخلاء المسؤولية' if loc.code == 'ar' else ('Haftungsausschluss' if loc.code == 'de' else '免责声明')} }}", + loc.disclaimer, + r"\end{document}", + ] + return "\n".join(lines) + "\n" + + +def _watermark_page_template(width: float, height: float): + from pypdf import PdfReader as PR + from reportlab.lib.colors import Color + from reportlab.pdfgen import canvas + + buf = BytesIO() + c = canvas.Canvas(buf, pagesize=(width, height)) + c.setFillColor(Color(0.45, 0.45, 0.45, alpha=0.12)) + c.setFont("Helvetica-Bold", 13) + step_x, step_y = 135, 90 + x = 35.0 + while x < width + step_x: + y = 45.0 + while y < height + step_y: + c.saveState() + c.translate(x, y) + c.rotate(35) + c.drawCentredString(0, 0, WATERMARK_TEXT) + c.restoreState() + y += step_y + x += step_x + c.showPage() + c.save() + buf.seek(0) + return PR(buf).pages[0] + + +def stamp_watermark_pdf(path: Path) -> None: + from pypdf import PdfReader, PdfWriter + + reader = PdfReader(str(path)) + writer = PdfWriter() + for page in reader.pages: + w, h = float(page.mediabox.width), float(page.mediabox.height) + wm = _watermark_page_template(w, h) + wm.merge_page(page) + writer.add_page(wm) + tmp = path.with_suffix(".tmp.pdf") + with open(tmp, "wb") as f: + writer.write(f) + tmp.replace(path) + + +def build_one(loc: Locale, results: list[StratResult]) -> bool: + tex_file = ROOT / f"{loc.tex_stem}.tex" + pdf_file = ROOT / f"{loc.tex_stem}.pdf" + out_pdf = ROOT / loc.pdf_name + + tex_file.write_text(build_latex(results, loc), encoding="utf-8") + print(f" Wrote {tex_file.name}") + + for _ in range(2): + subprocess.run( + ["xelatex", "-interaction=nonstopmode", tex_file.name], + cwd=ROOT, capture_output=True, text=True, + ) + if not pdf_file.exists(): + print(f" FAILED xelatex for {loc.code}") + return False + stamp_watermark_pdf(pdf_file) + shutil.copy2(pdf_file, out_pdf) + print(f" PDF: {out_pdf.name}") + return True + + +def main() -> int: + p = argparse.ArgumentParser() + p.add_argument("--lang", default="all", choices=["zh", "de", "ar", "all"]) + args = p.parse_args() + + langs = list(LOCALES.keys()) if args.lang == "all" else [args.lang] + print("MT5 data: ") + results = process_strategies(LOCALES["zh"]) + for r in results: + print(f" OK {r.sid:10} PF={r.pf} net={r.net}") + + ok = True + for code in langs: + loc = LOCALES[code] + print(f"\n=== {code.upper()} ===") + if not build_one(loc, results): + ok = False + return 0 if ok else 1 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/frontline/cluster-latest/reports/generate_product_brochure.py b/frontline/cluster-latest/reports/generate_product_brochure.py new file mode 100644 index 0000000..4686701 --- /dev/null +++ b/frontline/cluster-latest/reports/generate_product_brochure.py @@ -0,0 +1,432 @@ +#!/usr/bin/env python3 +"""代客理财产品介绍 PDF — 从 MT5 客户端回测报告解析数据并生成。""" +from __future__ import annotations + +import re +import sys +from datetime import date +from pathlib import Path + +from reportlab.lib import colors +from reportlab.lib.enums import TA_CENTER, TA_JUSTIFY, TA_LEFT +from reportlab.lib.pagesizes import A4 +from reportlab.lib.styles import ParagraphStyle, getSampleStyleSheet +from reportlab.lib.units import cm, mm +from reportlab.pdfbase import pdfmetrics +from reportlab.pdfbase.ttfonts import TTFont +from reportlab.platypus import ( + HRFlowable, + PageBreak, + Paragraph, + SimpleDocTemplate, + Spacer, + Table, + TableStyle, +) + +ROOT = Path(__file__).resolve().parent +sys.path.insert(0, str(ROOT.parents[2] / "backtesting" / "MT5")) + +from cluster_audit.united_mt5_manifest import PRODUCTION_IDS, UNITED_MT5_STRATEGIES +from cluster_audit.united_mt5_runner import mt5_terminal_data_dir, parse_report, read_text, grab_metric + + +def _mt5_data() -> Path: + data = mt5_terminal_data_dir() + if data is None: + raise SystemExit( + "MT5 data folder not found. Set MT5_TERMINAL_DATA_ID in .env or log into MT5 once." + ) + return data + + +OUT_PDF = ROOT / "UnitedEA_ManagedAccount_Brochure.pdf" + +BEST_LOTS = { + "DB": 0.01, "ES": 0.07, "RC": 0.10, "RM": 0.01, + "RS_NVDA": 5.0, "RS_TSLA": 5.0, "RS_BTCUSD": 0.06, "RS_XAUUSD": 0.04, + "SE": 0.01, "ST_BTC": 0.01, "ST_XAU": 0.01, + "RRA_AUD": 0.05, "RRA_GBP": 0.03, "UB": 0.03, + "RS_NAS100": 0.03, "RS_US30": 0.02, "UKB": 0.01, "GB": 0.01, "U5B": 0.05, +} + +CLOSE_ON = {"ES", "RS_XAUUSD", "RS_US30"} +TIER = { + "star": {"RS_BTCUSD", "RS_XAUUSD", "RS_US30", "RS_NAS100", "DB", "ES"}, + "stable": {"RC", "RM", "RS_NVDA", "RS_TSLA", "ST_BTC", "UB", "U5B", "GB", "UKB"}, + "weak": {"SE", "ST_XAU", "RRA_AUD", "RRA_GBP"}, +} + +SM = {s["id"]: s for s in UNITED_MT5_STRATEGIES} + + +def register_fonts() -> str: + for name, path in [ + ("CN", r"C:\Windows\Fonts\msyh.ttc"), + ("CN", r"C:\Windows\Fonts\simhei.ttf"), + ("CN", r"C:\Windows\Fonts\simsun.ttc"), + ]: + if Path(path).exists(): + try: + pdfmetrics.registerFont(TTFont("CN", path, subfontIndex=0 if path.endswith(".ttc") else None)) + return "CN" + except Exception: + continue + return "Helvetica" + + +def parse_extra(path: Path) -> dict: + text = read_text(path) + wr = grab_metric(text, "profit_factor") # reuse grab - need win rate manually + gross_profit = None + gross_loss = None + for label in ("Gross Profit", "总获利"): + m = re.search(rf">{re.escape(label)}\s*]*>(?:)?([^<]+)", text, re.I) + if m: + gross_profit = m.group(1).strip() + break + for label in ("Gross Loss", "总亏损"): + m = re.search(rf">{re.escape(label)}\s*]*>(?:)?([^<]+)", text, re.I) + if m: + gross_loss = m.group(1).strip() + break + for label in ("Profit Trades (% of total)", "盈利交易 (%占总百分比)"): + m = re.search(rf">{re.escape(label)}\s*]*>(?:)?([^<]+)", text, re.I) + if m: + win_rate = m.group(1).strip() + break + else: + win_rate = "—" + dd = grab_metric(text, "equity_dd") + return {"win_rate": win_rate, "max_drawdown": dd or "—", "gross_profit": gross_profit, "gross_loss": gross_loss} + + +def load_strategy_metrics() -> list[dict]: + rows = [] + for sid in PRODUCTION_IDS: + spec = SM[sid] + report_name = f"solo_{sid}_off" + m = parse_report(_mt5_data(), report_name) + if not m.get("ready"): + # fallback: lot genetic best-lot report + lot = BEST_LOTS.get(sid, 0.01) + lot_s = f"{lot:g}".replace(".", "p") + for pat in (f"lot_{sid}_{lot_s}", f"lot_{sid}_{lot:g}"): + m = parse_report(_mt5_data(), pat) + if m.get("ready"): + break + extra = {} + if m.get("report"): + extra = parse_extra(Path(m["report"])) + net = m.get("net_profit") + ret_pct = f"{net / 30:.1f}%" if net is not None else "—" # $3000 base, 3yr approx + tier = "明星" if sid in TIER["star"] else ("稳健" if sid in TIER["stable"] else "观察") + rows.append({ + "id": sid, + "name": spec["name"], + "lot": BEST_LOTS.get(sid, "—"), + "pf": m.get("profit_factor"), + "net": net, + "sharpe": m.get("sharpe"), + "trades": m.get("total_trades"), + "dd": extra.get("max_drawdown", "—"), + "win_rate": extra.get("win_rate", "—"), + "ret_pct": ret_pct, + "tier": tier, + "close_on": "是" if sid in CLOSE_ON else "否", + "ready": m.get("ready", False), + }) + return rows + + +def load_portfolio() -> dict: + for name in ("prod_v2_combined", "lot_genetic_combined", "close_NEW", "lot_combined_optimized"): + m = parse_report(_mt5_data(), name) + if m.get("ready"): + extra = parse_extra(Path(m["report"])) + m.update(extra) + m["source"] = name + return m + return {"ready": False} + + +def fmt(v, nd=2): + if v is None: + return "—" + if isinstance(v, float): + return f"{v:.{nd}f}" + return str(v) + + +def make_watermark(font_name: str): + WATERMARK = "Namelos.xyz Research" + + def _draw(c, _doc): + c.saveState() + c.setFillColor(colors.Color(0.5, 0.5, 0.5, alpha=0.10)) + c.setFont(font_name, 16) + w, h = A4 + step_x, step_y = 125, 85 + x0, y0 = step_x * 0.6, step_y * 0.8 + x = x0 + while x < w + step_x: + y = y0 + while y < h + step_y: + c.saveState() + c.translate(x, y) + c.rotate(35) + c.drawCentredString(0, 0, WATERMARK) + c.restoreState() + y += step_y + x += step_x + c.restoreState() + + return _draw + + +def build_pdf(font: str) -> None: + styles = getSampleStyleSheet() + title = ParagraphStyle("T", parent=styles["Title"], fontName=font, fontSize=22, leading=28, alignment=TA_CENTER) + h1 = ParagraphStyle("H1", parent=styles["Heading1"], fontName=font, fontSize=16, leading=22, spaceAfter=8) + h2 = ParagraphStyle("H2", parent=styles["Heading2"], fontName=font, fontSize=13, leading=18, spaceAfter=6) + body = ParagraphStyle("B", parent=styles["Normal"], fontName=font, fontSize=10, leading=15, alignment=TA_JUSTIFY) + small = ParagraphStyle("S", parent=body, fontSize=8, textColor=colors.grey) + center = ParagraphStyle("C", parent=body, alignment=TA_CENTER) + + portfolio = load_portfolio() + strategies = load_strategy_metrics() + ready_n = sum(1 for s in strategies if s["ready"]) + + doc = SimpleDocTemplate(str(OUT_PDF), pagesize=A4, leftMargin=2 * cm, rightMargin=2 * cm, topMargin=2 * cm, bottomMargin=2 * cm) + story: list = [] + + # Cover + story.append(Spacer(1, 3 * cm)) + story.append(Paragraph("UnitedEA 智能交易集群", title)) + story.append(Spacer(1, 0.5 * cm)) + story.append(Paragraph("代客理财 · 产品介绍与业绩分析", ParagraphStyle("sub", parent=title, fontSize=14))) + story.append(Spacer(1, 1.5 * cm)) + story.append(Paragraph(f"回测区间：2023年7月 — 2026年6月（近三年）", center)) + story.append(Paragraph(f"报告日期：{date.today().isoformat()}", center)) + story.append(Spacer(1, 2 * cm)) + story.append(Paragraph( + "本材料基于 MetaTrader 5 策略测试器历史回测数据整理，仅供合格投资者参考。" + "过往业绩不代表未来收益，外汇及差价合约交易存在本金损失风险。", + small, + )) + story.append(PageBreak()) + + # Product intro + story.append(Paragraph("一、产品介绍", h1)) + story.append(Paragraph( + "UnitedEA 是一套运行于 MetaTrader 5 平台的多策略智能交易集群（Expert Advisor Cluster）。" + "通过在同一账户内并行运行 19 个经独立优化、低相关性的子策略机器人，实现跨品种、跨逻辑的风险分散：" + "涵盖黄金趋势（DarvasBox、EMA 斜率）、RSI 反转与剥头皮、亚洲时段均值回归、指数突破（美日指数、德指、标普）" + "以及加密货币趋势跟踪等。", + body, + )) + story.append(Spacer(1, 0.3 * cm)) + story.append(Paragraph("核心服务要素", h2)) + bullets = [ + "▸ 全自动执行：7×24 监控信号，无需人工盯盘", + "▸ 组合化管理：19 个子策略统一风控、统一资金调度", + "▸ 动态仓位：按账户净值相对基准余额（$3,000）自动缩放手数", + "▸ 逐策略审计：定期对每机器人进行手数遗传优化、信号替换 A/B 测试", + "▸ 风险隔离：高保证金品种（如 MU）默认关闭；单策略最大手数有上限", + ] + for b in bullets: + story.append(Paragraph(b, body)) + story.append(Spacer(1, 0.15 * cm)) + + story.append(Spacer(1, 0.4 * cm)) + story.append(Paragraph("适用投资者", h2)) + story.append(Paragraph( + "具备外汇/差价合约基础知识、风险承受能力中等及以上、追求长期稳健复利（非短期暴利）的投资者。" + "建议起始资金不低于 $3,000，与系统参考余额一致，以便手数缩放比例合理。", + body, + )) + story.append(PageBreak()) + + # Methodology + story.append(Paragraph("二、回测方法与数据来源", h1)) + story.append(Paragraph( + "本报告数据直接解析自本地 MT5 客户端策略测试器生成的 HTML 报告" + "（%APPDATA%\\MetaQuotes\\Terminal\\<terminal-id>）。", + body, + )) + meth = [ + ["初始资金", "$3,000"], + ["杠杆", "1:1000"], + ["回测区间", "2023.07.01 — 2026.06.01"], + ["测试模型", "1 分钟 OHLC（每个即时价位）"], + ["组合测试品种", "NAS100 H1（集群统一调度）"], + ["仓位缩放", "ORCH_ScaleLotsByBalance = true，参考余额 $3,000"], + ["生产策略数", f"{len(PRODUCTION_IDS)} 个"], + ["报告解析", f"已解析 {ready_n}/{len(PRODUCTION_IDS)} 个单策略报告 + 组合报告"], + ] + t = Table(meth, colWidths=[5 * cm, 11 * cm]) + t.setStyle(TableStyle([ + ("FONT", (0, 0), (-1, -1), font, 9), + ("BACKGROUND", (0, 0), (0, -1), colors.HexColor("#f0f4f8")), + ("GRID", (0, 0), (-1, -1), 0.5, colors.lightgrey), + ("VALIGN", (0, 0), (-1, -1), "MIDDLE"), + ("LEFTPADDING", (0, 0), (-1, -1), 6), + ])) + story.append(Spacer(1, 0.3 * cm)) + story.append(t) + story.append(Spacer(1, 0.4 * cm)) + story.append(Paragraph( + "说明：组合层面「总净盈利」在余额复利缩放下会随净值膨胀而数值极大，" + "不宜与初始资金直接对比。评估策略质量应优先参考盈利因子（PF）、夏普比率、最大回撤及单策略独立回测。", + small, + )) + story.append(PageBreak()) + + # Portfolio + story.append(Paragraph("三、组合层面业绩（近三年）", h1)) + if portfolio.get("ready"): + pf = portfolio + port_data = [ + ["指标", "数值"], + ["数据来源", pf.get("source", "—")], + ["盈利因子 PF", fmt(pf.get("profit_factor"))], + ["夏普比率", fmt(pf.get("sharpe"))], + ["总交易笔数", fmt(pf.get("total_trades"), 0)], + ["总净盈利（复利缩放后）", f"${fmt(pf.get('net_profit'))}"], + ["最大净值回撤", pf.get("max_drawdown", "—")], + ["胜率", pf.get("win_rate", "—")], + ] + pt = Table(port_data, colWidths=[5.5 * cm, 10.5 * cm]) + pt.setStyle(TableStyle([ + ("FONT", (0, 0), (-1, -1), font, 10), + ("BACKGROUND", (0, 0), (-1, 0), colors.HexColor("#1a365d")), + ("TEXTCOLOR", (0, 0), (-1, 0), colors.white), + ("GRID", (0, 0), (-1, -1), 0.5, colors.lightgrey), + ("ROWBACKGROUNDS", (0, 1), (-1, -1), [colors.white, colors.HexColor("#f7fafc")]), + ])) + story.append(pt) + story.append(Spacer(1, 0.5 * cm)) + story.append(Paragraph( + f"当前生产组合（19 策略）经遗传算法优化手数后，" + f"盈利因子 {fmt(pf.get('profit_factor'))}、夏普 {fmt(pf.get('sharpe'))}，" + f"在三年回测期内共执行约 {fmt(pf.get('total_trades'), 0)} 笔交易。" + "组合通过多策略互补降低单一品种风险，但黄金相关策略仍占利润权重较高，需持续关注。", + body, + )) + else: + story.append(Paragraph("未找到组合回测报告（prod_v2_combined.htm），请先在 MT5 运行组合回测。", body)) + story.append(PageBreak()) + + # Per-robot table + story.append(Paragraph("四、各子机器人独立业绩分析", h1)) + story.append(Paragraph( + "下表为各策略在优化手数下、单独运行的近三年回测结果（Close-on-reverse 关闭状态，除标注外）。" + "「三年回报」= 净盈利 ÷ 基准资金 $3,000，仅为粗略参考。", + body, + )) + story.append(Spacer(1, 0.3 * cm)) + + header = ["代码", "策略名称", "手数", "PF", "夏普", "净盈利$", "三年回报", "交易数", "最大回撤", "分级", "信号平仓"] + table_data = [header] + for s in sorted(strategies, key=lambda x: (x["tier"], -(x["net"] or 0))): + table_data.append([ + s["id"], + s["name"][:12], + fmt(s["lot"], 2) if isinstance(s["lot"], float) else s["lot"], + fmt(s["pf"]), + fmt(s["sharpe"]), + fmt(s["net"], 0), + s["ret_pct"], + fmt(s["trades"], 0), + str(s["dd"])[:18], + s["tier"], + s["close_on"], + ]) + + col_w = [1.1 * cm, 2.6 * cm, 1.0 * cm, 0.9 * cm, 0.9 * cm, 1.6 * cm, 1.4 * cm, 1.2 * cm, 2.2 * cm, 1.0 * cm, 1.2 * cm] + st = Table(table_data, colWidths=col_w, repeatRows=1) + st.setStyle(TableStyle([ + ("FONT", (0, 0), (-1, -1), font, 7), + ("BACKGROUND", (0, 0), (-1, 0), colors.HexColor("#2d3748")), + ("TEXTCOLOR", (0, 0), (-1, 0), colors.white), + ("GRID", (0, 0), (-1, -1), 0.25, colors.lightgrey), + ("ROWBACKGROUNDS", (0, 1), (-1, -1), [colors.white, colors.HexColor("#f8f9fa")]), + ("ALIGN", (2, 1), (7, -1), "CENTER"), + ])) + story.append(st) + + story.append(Spacer(1, 0.5 * cm)) + story.append(Paragraph("分级说明", h2)) + story.append(Paragraph( + "明星（PF≥1.5 或夏普≥5）：RS_BTCUSD、RS_XAUUSD、RS_US30、RS_NAS100、DB、ES — 组合核心利润来源。
    " + "稳健（PF 1.1–1.5）：RC、RM、NVDA、TSLA、ST_BTC、UB、U5B、GB、UKB — 提供分散与缓冲。
    " + "观察（PF<1.15 或夏普<1）：SE、ST_XAU、RRA_AUD、RRA_GBP — 已降至最小手数，持续监控。", + body, + )) + story.append(PageBreak()) + + # Adjustments + story.append(Paragraph("五、已完成的策略调整（2026年）", h1)) + adj = [ + ["调整项", "内容", "效果"], + ["组合扩容", "由 11 策略扩至 19 策略，新增 BTC/XAU 剥头皮、趋势、亚式、指数等", "分散品种，提升夏普"], + ["手数遗传优化", "逐策略网格搜索最优手数（股票 5–15，其余 0.01–0.1）", "PF/夏普最大化"], + ["US30 降杠杆", "US30 手数 0.08→0.02，控制回撤", "夏普 8.67→10.47"], + ["高保证金剔除", "MU 等高保证金股票默认关闭", "降低爆仓风险"], + ["信号替换审计", "19 策略逐一 A/B 测试「亏损单遇反向信号平仓」", "仅 ES/XAU/US30 开启"], + ["TSLA 关闭信号平仓", "原开启，新审计为中性偏负", "减少无效换手"], + ["GAP 跳空防护", "测试后保持关闭（影响微小）", "简化逻辑"], + ] + at = Table(adj, colWidths=[3.2 * cm, 8.3 * cm, 4.5 * cm]) + at.setStyle(TableStyle([ + ("FONT", (0, 0), (-1, -1), font, 9), + ("BACKGROUND", (0, 0), (-1, 0), colors.HexColor("#1a365d")), + ("TEXTCOLOR", (0, 0), (-1, 0), colors.white), + ("GRID", (0, 0), (-1, -1), 0.5, colors.lightgrey), + ("VALIGN", (0, 0), (-1, -1), "TOP"), + ])) + story.append(at) + story.append(PageBreak()) + + # Roadmap + story.append(Paragraph("六、后续优化路线图", h1)) + roadmap = [ + ("Q3 2026 — 监控与微调", [ + "每月重跑单策略 + 组合回测，对比实盘滑点", + "观察 SE（SuperEMA）是否继续拖累，考虑移出生产组合", + "RRA_AUD / RRA_GBP 亚式策略：信号平仓已证实有害，保持关闭并评估是否降权", + ]), + ("Q4 2026 — 风控强化", [ + "引入组合层面最大回撤熔断（如净值回撤 >20% 暂停开仓）", + "黄金高相关策略（RM、RS_XAU、ST_XAU）设利润集中度上限", + "实盘与回测逐月对账脚本自动化", + ]), + ("2027 — 扩展研究", [ + "新指数/外汇机器人候选池定期审计（disabled_audit 流程）", + "探索 AI 信号过滤层（ONNX 模型）与规则策略混合", + "多账户分策略托管方案（高夏普策略独立账户）", + ]), + ] + for title_txt, items in roadmap: + story.append(Paragraph(title_txt, h2)) + for it in items: + story.append(Paragraph(f"• {it}", body)) + story.append(Spacer(1, 0.1 * cm)) + story.append(Spacer(1, 0.2 * cm)) + + story.append(Spacer(1, 0.8 * cm)) + story.append(HRFlowable(width="100%", color=colors.lightgrey)) + story.append(Spacer(1, 0.3 * cm)) + story.append(Paragraph( + "免责声明：本文件不构成投资建议。外汇、贵金属、指数及股票差价合约具有高风险，" + "您可能损失全部本金。请在充分了解风险后自主决策，必要时咨询持牌金融顾问。", + small, + )) + + doc.build(story, onFirstPage=make_watermark(font), onLaterPages=make_watermark(font)) + print(f"Generated: {OUT_PDF}") + + +if __name__ == "__main__": + f = register_fonts() + build_pdf(f) diff --git a/frontline/cluster-latest/self-evaluate.mq5 b/frontline/cluster-latest/self-evaluate.mq5 index 971c874..e945ba8 100644 --- a/frontline/cluster-latest/self-evaluate.mq5 +++ b/frontline/cluster-latest/self-evaluate.mq5 @@ -104,6 +104,7 @@ input double RC_exitBuyRSI = 86; input double RC_exitSellRSI = 10; input double RC_TrailingStop = 295; input double RC_emaDistanceThreshold = 165; +input bool RC_UseTrendStrengthFilter = true; input int RC_tradingHourOneBegin = 24; input int RC_tradingHourOneEnd = 22; input int RC_tradingHourTwoBegin = 6; diff --git a/frontline/united_template/_united-V2/MagicNumberHelpers.mqh b/frontline/united_template/_united-V2/MagicNumberHelpers.mqh index dc1fa31..0709dc9 100644 --- a/frontline/united_template/_united-V2/MagicNumberHelpers.mqh +++ b/frontline/united_template/_united-V2/MagicNumberHelpers.mqh @@ -157,3 +157,30 @@ int CountPositionsByMagic(string symbol, ulong magic_number) } //+------------------------------------------------------------------+ +//| Align volume to SYMBOL_VOLUME_STEP / min / max (avoids Invalid volume) | +//+------------------------------------------------------------------+ +double United_NormalizeVolume(const string symbol, double volume) +{ + double minLot = SymbolInfoDouble(symbol, SYMBOL_VOLUME_MIN); + double maxLot = SymbolInfoDouble(symbol, SYMBOL_VOLUME_MAX); + double lotStep = SymbolInfoDouble(symbol, SYMBOL_VOLUME_STEP); + if(lotStep <= 0.0) + lotStep = 0.01; + + double v = MathFloor(volume / lotStep) * lotStep; + + if(v < minLot) + v = minLot; + if(v > maxLot) + v = maxLot; + + int digits = (int)MathCeil(-MathLog10(lotStep)); + if(digits < 0) + digits = 0; + if(digits > 8) + digits = 8; + + return NormalizeDouble(v, digits); +} + +//+------------------------------------------------------------------+ diff --git a/frontline/united_template/_united-V2/Strategies/DarvasBoxStrategy.mqh b/frontline/united_template/_united-V2/Strategies/DarvasBoxStrategy.mqh index 62e6450..83570ea 100644 --- a/frontline/united_template/_united-V2/Strategies/DarvasBoxStrategy.mqh +++ b/frontline/united_template/_united-V2/Strategies/DarvasBoxStrategy.mqh @@ -1,12 +1,18 @@ //+------------------------------------------------------------------+ //| DarvasBoxStrategy.mqh | //+------------------------------------------------------------------+ -#if defined(CLUSTER0_ORCHESTRATOR) || defined(UNITED_V2_DYNAMIC_LOTS) +// MQL5: no #if — use #ifdef only (no defined() / || in one #if) +#ifdef UNITED_V2_DYNAMIC_LOTS +extern double g_DB_LotSize; +#define DARVAS_TRADE_LOT (g_DB_LotSize) +#else +#ifdef CLUSTER0_ORCHESTRATOR extern double g_DB_LotSize; #define DARVAS_TRADE_LOT (g_DB_LotSize) #else #define DARVAS_TRADE_LOT 0.01 #endif +#endif bool InitDarvasBox(string symbol) { @@ -197,13 +203,19 @@ bool PlaceOrder(ENUM_ORDER_TYPE orderType, double price, double sl, double tp) } bool result = false; + const double lot = United_NormalizeVolume(dbData.symbol, DARVAS_TRADE_LOT); + if(lot <= 0.0) + { + Print("DarvasBox: Order rejected - invalid lot after normalize (raw=", DARVAS_TRADE_LOT, ")"); + return false; + } // Use market price (0) instead of explicit price - this ensures market order execution // In backtesting, explicit price might fail if price has moved if(orderType == ORDER_TYPE_BUY) - result = dbData.trade.Buy(DARVAS_TRADE_LOT, dbData.symbol, 0, sl, tp, "Darvas Box Breakout"); + result = dbData.trade.Buy(lot, dbData.symbol, 0, sl, tp, "Darvas Box Breakout"); else - result = dbData.trade.Sell(DARVAS_TRADE_LOT, dbData.symbol, 0, sl, tp, "Darvas Box Breakdown"); + result = dbData.trade.Sell(lot, dbData.symbol, 0, sl, tp, "Darvas Box Breakdown"); // Always log errors, success only if logging enabled if(result) diff --git a/frontline/united_template/_united-V2/Strategies/RSICrossOverReversalStrategy.mqh b/frontline/united_template/_united-V2/Strategies/RSICrossOverReversalStrategy.mqh index 266292a..06f7587 100644 --- a/frontline/united_template/_united-V2/Strategies/RSICrossOverReversalStrategy.mqh +++ b/frontline/united_template/_united-V2/Strategies/RSICrossOverReversalStrategy.mqh @@ -45,6 +45,29 @@ int TimeHour(datetime when = 0) return dt.hour; } +double RC_NormalizeLot(const string sym, const double lots) +{ + const double mn = SymbolInfoDouble(sym, SYMBOL_VOLUME_MIN); + const double mx = SymbolInfoDouble(sym, SYMBOL_VOLUME_MAX); + double step = SymbolInfoDouble(sym, SYMBOL_VOLUME_STEP); + if(step <= 0.0) + step = 0.01; + double v = MathMax(lots, mn); + v = MathMin(v, mx); + return NormalizeDouble(MathFloor(v / step + 0.5) * step, 2); +} + +bool RC_IsTrendStrong(const double emaSlope, const double priceToEmaDistance) +{ + if(!RC_UseTrendStrengthFilter) + return false; + const bool slopeStrong = (RC_emaSlopeThreshold > 0.0) + && (MathAbs(emaSlope) > RC_emaSlopeThreshold); + const bool distanceStrong = (RC_emaDistanceThreshold > 0.0) + && (MathAbs(priceToEmaDistance) > RC_emaDistanceThreshold); + return slopeStrong || distanceStrong; +} + bool InitRSICrossOverReversal(string symbol) { WeekDays_Init(); @@ -79,6 +102,8 @@ bool InitRSICrossOverReversal(string symbol) } rcData.trade.SetExpertMagicNumber(RC_MagicNumber); + rcData.trade.SetDeviationInPoints(RC_slippage); + rcData.trade.SetTypeFillingBySymbol(symbol); rcData.isInitialized = true; Print("RSICrossOverReversal: Successfully initialized for symbol '", symbol, "'"); return true; @@ -147,9 +172,12 @@ void ProcessRSICrossOverReversal(string symbol) return; rcData.symbol = symbol; // Update symbol in case it changed - if(rcData.bartime == iTime(rcData.symbol, RC_BarTimeFrame, 0)) + const datetime barTime = iTime(rcData.symbol, RC_BarTimeFrame, 0); + if(barTime == 0) return; - rcData.bartime = iTime(rcData.symbol, RC_BarTimeFrame, 0); + if(rcData.bartime == barTime) + return; + rcData.bartime = barTime; double rsi[]; if(CopyBuffer(rcData.rsiHandle, 0, 0, 2, rsi) <= 0) @@ -209,7 +237,7 @@ void ProcessRSICrossOverReversal(string symbol) ApplyTrailingStop(); bool cooldownPassed = (currentTime - rcData.lastTradeTime) >= RC_cooldownSeconds; - bool isTrendStrong = MathAbs(emaSlope) > RC_emaSlopeThreshold || MathAbs(priceToEmaDistance) > RC_emaDistanceThreshold; + const bool isTrendStrong = RC_IsTrendStrong(emaSlope, priceToEmaDistance); if(isBuyPosition && currentRSI > RC_exitBuyRSI) { @@ -229,25 +257,36 @@ void ProcessRSICrossOverReversal(string symbol) rcData.lastTradeTime = currentTime; } - if(!isTrendStrong && - currentRSI < RC_overboughtLevel - RC_entryRSISellSpread && rcData.previousRSIDef >= RC_overboughtLevel && - !isSellPosition && !hasPosition && cooldownPassed) + hasPosition = PositionExistsByMagic(rcData.symbol, RC_MagicNumber); + isBuyPosition = false; + isSellPosition = false; + if(hasPosition && PositionSelectByMagic(rcData.symbol, RC_MagicNumber)) { - rcData.trade.SetExpertMagicNumber(RC_MagicNumber); - if(rcData.trade.Sell(g_RC_LotSize, rcData.symbol, 0.0, 0.0, 0.0, "Sell Order")) - { - rcData.lastTradeTime = currentTime; - } + const ENUM_POSITION_TYPE positionType = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); + if(positionType == POSITION_TYPE_BUY) + isBuyPosition = true; + else if(positionType == POSITION_TYPE_SELL) + isSellPosition = true; } - if(!isTrendStrong && - currentRSI > RC_oversoldLevel + RC_entryRSIBuySpread && rcData.previousRSIDef <= RC_oversoldLevel && - !isBuyPosition && !hasPosition && cooldownPassed) + const double lots = RC_NormalizeLot(rcData.symbol, g_RC_LotSize); + if(lots > 0.0 && !isTrendStrong && cooldownPassed && !hasPosition) { - rcData.trade.SetExpertMagicNumber(RC_MagicNumber); - if(rcData.trade.Buy(g_RC_LotSize, rcData.symbol, 0.0, 0.0, 0.0, "Buy Order")) + if(currentRSI < RC_overboughtLevel - RC_entryRSISellSpread + && rcData.previousRSIDef >= RC_overboughtLevel + && !isSellPosition) { - rcData.lastTradeTime = currentTime; + rcData.trade.SetExpertMagicNumber(RC_MagicNumber); + if(rcData.trade.Sell(lots, rcData.symbol, 0.0, 0.0, 0.0, "Sell Order")) + rcData.lastTradeTime = currentTime; + } + else if(currentRSI > RC_oversoldLevel + RC_entryRSIBuySpread + && rcData.previousRSIDef <= RC_oversoldLevel + && !isBuyPosition) + { + rcData.trade.SetExpertMagicNumber(RC_MagicNumber); + if(rcData.trade.Buy(lots, rcData.symbol, 0.0, 0.0, 0.0, "Buy Order")) + rcData.lastTradeTime = currentTime; } } diff --git a/frontline/united_template/_united-V2/main.mq5 b/frontline/united_template/_united-V2/main.mq5 index 2cbee46..d900e38 100644 --- a/frontline/united_template/_united-V2/main.mq5 +++ b/frontline/united_template/_united-V2/main.mq5 @@ -163,6 +163,7 @@ input double RC_exitBuyRSI = 86; input double RC_exitSellRSI = 10; input double RC_TrailingStop = 295; input double RC_emaDistanceThreshold = 165; +input bool RC_UseTrendStrengthFilter = true; input int RC_tradingHourOneBegin = 24; 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| +//| https://www.mql5.com | +//+------------------------------------------------------------------+ +#property copyright "Copyright 2025, MetaQuotes Ltd." +#property link "https://www.mql5.com" +#property version "1.01" + +#include +#include "../_united/MagicNumberHelpers.mqh" + +//--- Input parameters +input ENUM_TIMEFRAMES TimeFrame = (ENUM_TIMEFRAMES)6; // Timeframe for Analysis +input int RSI_Period = 15; // RSI Period +input ENUM_APPLIED_PRICE RSI_Applied_Price = PRICE_OPEN; // RSI Applied Price +input double RSI_Overbought = 16; // RSI Overbought Level +input double RSI_Oversold = 42; // RSI Oversold Level +input double RSI_Target_Buy = 67; // RSI Target for Buy Exit +input double RSI_Target_Sell = 62; // RSI Target for Sell Exit +input int BarsToWait = 8; // Bars to wait when RSI goes against position +input double LotSize = 5; // Lot Size +input int MagicNumber = 12345; // Magic Number +input int Slippage = 3; // Slippage in points + +input group "=== Trailing stop ===" +input bool UseTrailingStop = true; // move SL behind bid/ask while in profit +input double TrailingStopDistancePoints = 425.0; // SL distance from bid/ask (points) +input double TrailingActivationPoints = 18.5; // min profit before trailing (0 = same as distance) + +//--- Global variables +CTrade trade; +int rsi_handle; +double rsi_buffer[]; +double rsi_prev, rsi_current, rsi_two_bars_ago; +bool position_open = false; +int position_ticket = 0; +ENUM_POSITION_TYPE current_position_type = POSITION_TYPE_BUY; +datetime last_bar_time = 0; +bool rsi_against_position = false; +int bars_against_count = 0; + +//+------------------------------------------------------------------+ +//| Expert initialization function | +//+------------------------------------------------------------------+ +int OnInit() +{ + // Initialize RSI indicator + rsi_handle = iRSI(_Symbol, TimeFrame, RSI_Period, RSI_Applied_Price); + if(rsi_handle == INVALID_HANDLE) + { + return(INIT_FAILED); + } + + // Initialize trade object + trade.SetExpertMagicNumber(MagicNumber); + trade.SetDeviationInPoints(Slippage); + trade.SetTypeFilling(ORDER_FILLING_FOK); + + // Allocate arrays + ArraySetAsSeries(rsi_buffer, true); + + return(INIT_SUCCEEDED); +} + +//+------------------------------------------------------------------+ +//| Expert deinitialization function | +//+------------------------------------------------------------------+ +void OnDeinit(const int reason) +{ + if(rsi_handle != INVALID_HANDLE) + IndicatorRelease(rsi_handle); +} + +//+------------------------------------------------------------------+ +//| Expert tick function | +//+------------------------------------------------------------------+ +void OnTick() +{ + if(Bars(_Symbol, TimeFrame) < RSI_Period + 2) + return; + + const datetime current_bar_time = iTime(_Symbol, TimeFrame, 0); + const bool new_bar = (current_bar_time != last_bar_time); + const bool in_pos = position_open || PositionExistsByMagic(_Symbol, (ulong)MagicNumber); + + if(!in_pos && !new_bar) + return; + + if(!UpdateRSI()) + return; + + if(in_pos && UseTrailingStop) + ApplyTrailingStop(); + + if(!new_bar) + return; + + last_bar_time = current_bar_time; + + ResyncPositionFromMarket(); + CheckExistingPosition(); + + if(!position_open && !PositionExistsByMagic(_Symbol, (ulong)MagicNumber)) + CheckEntrySignals(); +} + +//+------------------------------------------------------------------+ +//| Update RSI values | +//+------------------------------------------------------------------+ +bool UpdateRSI() +{ + if(CopyBuffer(rsi_handle, 0, 0, 3, rsi_buffer) < 3) + { + return false; + } + + rsi_current = rsi_buffer[0]; // Current bar + rsi_prev = rsi_buffer[1]; // Previous bar + rsi_two_bars_ago = rsi_buffer[2]; // Two bars ago + + return true; +} + +//+------------------------------------------------------------------+ +//| Trail SL behind favorable price (every tick when enabled) | +//+------------------------------------------------------------------+ +void ApplyTrailingStop() +{ + if(TrailingStopDistancePoints <= 0.0) + return; + if(!PositionSelectByMagic(_Symbol, (ulong)MagicNumber)) + return; + + const double point = SymbolInfoDouble(_Symbol, SYMBOL_POINT); + if(point <= 0.0) + return; + + const int digits = (int)SymbolInfoInteger(_Symbol, SYMBOL_DIGITS); + const double trail_dist = TrailingStopDistancePoints * point; + const double activation_pts = (TrailingActivationPoints > 0.0) + ? TrailingActivationPoints + : TrailingStopDistancePoints; + const double activation = activation_pts * point; + const long stops_level = SymbolInfoInteger(_Symbol, SYMBOL_TRADE_STOPS_LEVEL); + const double min_dist = (double)stops_level * point; + + const ENUM_POSITION_TYPE ptype = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); + const double entry = PositionGetDouble(POSITION_PRICE_OPEN); + const double cur_sl = PositionGetDouble(POSITION_SL); + const double cur_tp = PositionGetDouble(POSITION_TP); + + if(ptype == POSITION_TYPE_BUY) + { + const double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + if(bid - entry <= activation) + return; + + double new_sl = NormalizeDouble(bid - trail_dist, digits); + if(min_dist > 0.0 && bid - new_sl < min_dist) + new_sl = NormalizeDouble(bid - min_dist, digits); + + if(new_sl >= bid || new_sl <= 0.0) + return; + if(cur_sl > 0.0 && new_sl <= cur_sl) + return; + + ModifyPositionByMagic(trade, _Symbol, (ulong)MagicNumber, new_sl, cur_tp); + } + else if(ptype == POSITION_TYPE_SELL) + { + const double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + if(entry - ask <= activation) + return; + + double new_sl = NormalizeDouble(ask + trail_dist, digits); + if(min_dist > 0.0 && new_sl - ask < min_dist) + new_sl = NormalizeDouble(ask + min_dist, digits); + + if(new_sl <= ask || new_sl <= 0.0) + return; + if(cur_sl > 0.0 && new_sl >= cur_sl) + return; + + ModifyPositionByMagic(trade, _Symbol, (ulong)MagicNumber, new_sl, cur_tp); + } +} + +//+------------------------------------------------------------------+ +//| Sync ticket/state if a position exists after restart | +//+------------------------------------------------------------------+ +void ResyncPositionFromMarket() +{ + if(position_open) + return; + ulong t = GetPositionTicketByMagic(_Symbol, (ulong)MagicNumber); + if(t == 0 || !PositionSelectByTicket(t)) + return; + position_ticket = (int)t; + position_open = true; + current_position_type = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); +} + +//+------------------------------------------------------------------+ +//| Check existing position for exit conditions | +//+------------------------------------------------------------------+ +void CheckExistingPosition() +{ + if(!position_open) + { + return; + } + + // Check if position still exists with correct magic number AND symbol for THIS EA + if(!PositionSelectByTicketSymbolAndMagic(position_ticket, _Symbol, (ulong)MagicNumber)) + { + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + return; + } + + // Exit conditions based on RSI target + if(current_position_type == POSITION_TYPE_BUY) + { + // Check if RSI is against the position (below oversold) + if(rsi_current < RSI_Oversold) + { + if(!rsi_against_position) + { + rsi_against_position = true; + bars_against_count = 1; + } + else + { + bars_against_count++; + } + + // Close position if RSI has been against for Y bars + if(bars_against_count >= BarsToWait) + { + ClosePosition(); + return; + } + } + else + { + // RSI is no longer against the position, reset counter + if(rsi_against_position) + { + rsi_against_position = false; + bars_against_count = 0; + } + + // Exit long position when RSI reaches buy target + if(rsi_current >= RSI_Target_Buy) + { + ClosePosition(); + } + } + } + else if(current_position_type == POSITION_TYPE_SELL) + { + // Check if RSI is against the position (above overbought) + if(rsi_current > RSI_Overbought) + { + if(!rsi_against_position) + { + rsi_against_position = true; + bars_against_count = 1; + } + else + { + bars_against_count++; + } + + // Close position if RSI has been against for Y bars + if(bars_against_count >= BarsToWait) + { + ClosePosition(); + return; + } + } + else + { + // RSI is no longer against the position, reset counter + if(rsi_against_position) + { + rsi_against_position = false; + bars_against_count = 0; + } + + // Exit short position when RSI reaches sell target + if(rsi_current <= RSI_Target_Sell) + { + ClosePosition(); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Check for entry signals | +//+------------------------------------------------------------------+ +void CheckEntrySignals() +{ + // Buy signal: RSI crosses from oversold to above oversold (checking the actual crossover) + if(rsi_two_bars_ago <= RSI_Oversold && rsi_prev > RSI_Oversold) + { + OpenBuyPosition(); + } + + // Sell signal: RSI crosses from overbought to below overbought (checking the actual crossover) + if(rsi_two_bars_ago >= RSI_Overbought && rsi_prev < RSI_Overbought) + { + OpenSellPosition(); + } +} + +//+------------------------------------------------------------------+ +//| Open buy position | +//+------------------------------------------------------------------+ +void OpenBuyPosition() +{ + // Verify no position exists for THIS EA (magic number) on THIS symbol before opening + if(PositionExistsByMagic(_Symbol, (ulong)MagicNumber)) + { + return; // Position already exists for this EA + } + + double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + + if(trade.Buy(LotSize, _Symbol, ask, 0, 0, "RSI Scalping Buy")) + { + ulong new_ticket = trade.ResultOrder(); + if(new_ticket > 0) + { + // Verify position was opened for THIS EA (magic number) on THIS symbol + if(PositionSelectByTicketSymbolAndMagic(new_ticket, _Symbol, (ulong)MagicNumber)) + { + position_ticket = new_ticket; + position_open = true; + current_position_type = POSITION_TYPE_BUY; + } + else + { + Print("Error: Position opened but doesn't match EA magic number or symbol"); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Open sell position | +//+------------------------------------------------------------------+ +void OpenSellPosition() +{ + // Verify no position exists for THIS EA (magic number) on THIS symbol before opening + if(PositionExistsByMagic(_Symbol, (ulong)MagicNumber)) + { + return; // Position already exists for this EA + } + + double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + + if(trade.Sell(LotSize, _Symbol, bid, 0, 0, "RSI Scalping Sell")) + { + ulong new_ticket = trade.ResultOrder(); + if(new_ticket > 0) + { + // Verify position was opened for THIS EA (magic number) on THIS symbol + if(PositionSelectByTicketSymbolAndMagic(new_ticket, _Symbol, (ulong)MagicNumber)) + { + position_ticket = new_ticket; + position_open = true; + current_position_type = POSITION_TYPE_SELL; + } + else + { + Print("Error: Position opened but doesn't match EA magic number or symbol"); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Close current position | +//+------------------------------------------------------------------+ +void ClosePosition() +{ + // Close position using helper that verifies symbol AND magic number for THIS EA + if(ClosePositionByMagic(trade, _Symbol, (ulong)MagicNumber)) + { + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + } + else + { + // Position doesn't exist or wrong magic number - reset tracking + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + } +} diff --git a/frontline/units-trailing/RSIScalpingAPPL-trailing/APPL_Genetic_Optimization.set b/frontline/units-trailing/RSIScalpingAPPL-trailing/APPL_Genetic_Optimization.set new file mode 100644 index 0000000..7057ac7 --- /dev/null +++ b/frontline/units-trailing/RSIScalpingAPPL-trailing/APPL_Genetic_Optimization.set @@ -0,0 +1,19 @@ +; saved on 2026.06.01 18:41:20 +; this file contains input parameters for testing/optimizing RSIScalping expert advisor +; to use it in the strategy tester, click Load in the context menu of the Inputs tab +; +TimeFrame=16385||5||5||16385||Y +RSI_Period=8||1||7||21||Y +RSI_Applied_Price=1||0||1||1||N +RSI_Overbought=62||2.0||60.0||85.0||Y +RSI_Oversold=32||2.0||15.0||40.0||Y +RSI_Target_Buy=67||2.0||65.0||90.0||Y +RSI_Target_Sell=2||2.0||10.0||35.0||Y +BarsToWait=5||1||1||12||Y +LotSize=25||5.0||5.0||100.0||N +MagicNumber=12345||0||12345||12345||N +Slippage=3||0||3||3||N +; === Trailing stop === +UseTrailingStop=true||false||0||true||N +TrailingStopDistancePoints=50||50||100.0||800.0||Y +TrailingActivationPoints=39.0||5.0||0.500000||50.000000||Y diff --git a/frontline/units-trailing/RSIScalpingAPPL-trailing/main.mq5 b/frontline/units-trailing/RSIScalpingAPPL-trailing/main.mq5 new file mode 100644 index 0000000..fd99b33 --- /dev/null +++ b/frontline/units-trailing/RSIScalpingAPPL-trailing/main.mq5 @@ -0,0 +1,408 @@ +//+------------------------------------------------------------------+ +//| RSIScalping.mq5 | +//| Copyright 2025, MetaQuotes Ltd. | +//| https://www.mql5.com | +//+------------------------------------------------------------------+ +#property copyright "Copyright 2025, MetaQuotes Ltd." +#property link "https://www.mql5.com" +#property version "1.01" + +#include +#include "../_united/MagicNumberHelpers.mqh" + +//--- Input parameters +input ENUM_TIMEFRAMES TimeFrame = PERIOD_H1; // Timeframe for Analysis +input int RSI_Period = 8; // RSI Period +input ENUM_APPLIED_PRICE RSI_Applied_Price = PRICE_CLOSE; // RSI Applied Price +input double RSI_Overbought = 62; // RSI Overbought Level +input double RSI_Oversold = 32; // RSI Oversold Level +input double RSI_Target_Buy = 67; // RSI Target for Buy Exit +input double RSI_Target_Sell = 2; // RSI Target for Sell Exit +input int BarsToWait = 5; // Bars to wait when RSI goes against position +input double LotSize = 25; // Lot Size +input int MagicNumber = 12345; // Magic Number +input int Slippage = 3; // Slippage in points + +input group "=== Trailing stop ===" +input bool UseTrailingStop = true; // move SL behind bid/ask while in profit +input double TrailingStopDistancePoints = 50.0; // SL distance from bid/ask (points) +input double TrailingActivationPoints = 39.0; // min profit before trailing (0 = same as distance) + +//--- Global variables +CTrade trade; +int rsi_handle; +double rsi_buffer[]; +double rsi_prev, rsi_current, rsi_two_bars_ago; +bool position_open = false; +int position_ticket = 0; +ENUM_POSITION_TYPE current_position_type = POSITION_TYPE_BUY; +datetime last_bar_time = 0; +bool rsi_against_position = false; +int bars_against_count = 0; + +//+------------------------------------------------------------------+ +//| Expert initialization function | +//+------------------------------------------------------------------+ +int OnInit() +{ + // Initialize RSI indicator + rsi_handle = iRSI(_Symbol, TimeFrame, RSI_Period, RSI_Applied_Price); + if(rsi_handle == INVALID_HANDLE) + { + return(INIT_FAILED); + } + + // Initialize trade object + trade.SetExpertMagicNumber(MagicNumber); + trade.SetDeviationInPoints(Slippage); + trade.SetTypeFilling(ORDER_FILLING_FOK); + + // Allocate arrays + ArraySetAsSeries(rsi_buffer, true); + + return(INIT_SUCCEEDED); +} + +//+------------------------------------------------------------------+ +//| Expert deinitialization function | +//+------------------------------------------------------------------+ +void OnDeinit(const int reason) +{ + if(rsi_handle != INVALID_HANDLE) + IndicatorRelease(rsi_handle); +} + +//+------------------------------------------------------------------+ +//| Expert tick function | +//+------------------------------------------------------------------+ +void OnTick() +{ + if(Bars(_Symbol, TimeFrame) < RSI_Period + 2) + return; + + const datetime current_bar_time = iTime(_Symbol, TimeFrame, 0); + const bool new_bar = (current_bar_time != last_bar_time); + const bool in_pos = position_open || PositionExistsByMagic(_Symbol, (ulong)MagicNumber); + + if(!in_pos && !new_bar) + return; + + if(!UpdateRSI()) + return; + + if(in_pos && UseTrailingStop) + ApplyTrailingStop(); + + if(!new_bar) + return; + + last_bar_time = current_bar_time; + + ResyncPositionFromMarket(); + CheckExistingPosition(); + + if(!position_open && !PositionExistsByMagic(_Symbol, (ulong)MagicNumber)) + CheckEntrySignals(); +} + +//+------------------------------------------------------------------+ +//| Update RSI values | +//+------------------------------------------------------------------+ +bool UpdateRSI() +{ + if(CopyBuffer(rsi_handle, 0, 0, 3, rsi_buffer) < 3) + { + return false; + } + + rsi_current = rsi_buffer[0]; // Current bar + rsi_prev = rsi_buffer[1]; // Previous bar + rsi_two_bars_ago = rsi_buffer[2]; // Two bars ago + + return true; +} + +//+------------------------------------------------------------------+ +//| Trail SL behind favorable price (every tick when enabled) | +//+------------------------------------------------------------------+ +void ApplyTrailingStop() +{ + if(TrailingStopDistancePoints <= 0.0) + return; + if(!PositionSelectByMagic(_Symbol, (ulong)MagicNumber)) + return; + + const double point = SymbolInfoDouble(_Symbol, SYMBOL_POINT); + if(point <= 0.0) + return; + + const int digits = (int)SymbolInfoInteger(_Symbol, SYMBOL_DIGITS); + const double trail_dist = TrailingStopDistancePoints * point; + const double activation_pts = (TrailingActivationPoints > 0.0) + ? TrailingActivationPoints + : TrailingStopDistancePoints; + const double activation = activation_pts * point; + const long stops_level = SymbolInfoInteger(_Symbol, SYMBOL_TRADE_STOPS_LEVEL); + const double min_dist = (double)stops_level * point; + + const ENUM_POSITION_TYPE ptype = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); + const double entry = PositionGetDouble(POSITION_PRICE_OPEN); + const double cur_sl = PositionGetDouble(POSITION_SL); + const double cur_tp = PositionGetDouble(POSITION_TP); + + if(ptype == POSITION_TYPE_BUY) + { + const double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + if(bid - entry <= activation) + return; + + double new_sl = NormalizeDouble(bid - trail_dist, digits); + if(min_dist > 0.0 && bid - new_sl < min_dist) + new_sl = NormalizeDouble(bid - min_dist, digits); + + if(new_sl >= bid || new_sl <= 0.0) + return; + if(cur_sl > 0.0 && new_sl <= cur_sl) + return; + + ModifyPositionByMagic(trade, _Symbol, (ulong)MagicNumber, new_sl, cur_tp); + } + else if(ptype == POSITION_TYPE_SELL) + { + const double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + if(entry - ask <= activation) + return; + + double new_sl = NormalizeDouble(ask + trail_dist, digits); + if(min_dist > 0.0 && new_sl - ask < min_dist) + new_sl = NormalizeDouble(ask + min_dist, digits); + + if(new_sl <= ask || new_sl <= 0.0) + return; + if(cur_sl > 0.0 && new_sl >= cur_sl) + return; + + ModifyPositionByMagic(trade, _Symbol, (ulong)MagicNumber, new_sl, cur_tp); + } +} + +//+------------------------------------------------------------------+ +//| Sync ticket/state if a position exists after restart | +//+------------------------------------------------------------------+ +void ResyncPositionFromMarket() +{ + if(position_open) + return; + ulong t = GetPositionTicketByMagic(_Symbol, (ulong)MagicNumber); + if(t == 0 || !PositionSelectByTicket(t)) + return; + position_ticket = (int)t; + position_open = true; + current_position_type = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); +} + +//+------------------------------------------------------------------+ +//| Check existing position for exit conditions | +//+------------------------------------------------------------------+ +void CheckExistingPosition() +{ + if(!position_open) + { + return; + } + + // Check if position still exists with correct magic number AND symbol for THIS EA + if(!PositionSelectByTicketSymbolAndMagic(position_ticket, _Symbol, (ulong)MagicNumber)) + { + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + return; + } + + // Exit conditions based on RSI target + if(current_position_type == POSITION_TYPE_BUY) + { + // Check if RSI is against the position (below oversold) + if(rsi_current < RSI_Oversold) + { + if(!rsi_against_position) + { + rsi_against_position = true; + bars_against_count = 1; + } + else + { + bars_against_count++; + } + + // Close position if RSI has been against for Y bars + if(bars_against_count >= BarsToWait) + { + ClosePosition(); + return; + } + } + else + { + // RSI is no longer against the position, reset counter + if(rsi_against_position) + { + rsi_against_position = false; + bars_against_count = 0; + } + + // Exit long position when RSI reaches buy target + if(rsi_current >= RSI_Target_Buy) + { + ClosePosition(); + } + } + } + else if(current_position_type == POSITION_TYPE_SELL) + { + // Check if RSI is against the position (above overbought) + if(rsi_current > RSI_Overbought) + { + if(!rsi_against_position) + { + rsi_against_position = true; + bars_against_count = 1; + } + else + { + bars_against_count++; + } + + // Close position if RSI has been against for Y bars + if(bars_against_count >= BarsToWait) + { + ClosePosition(); + return; + } + } + else + { + // RSI is no longer against the position, reset counter + if(rsi_against_position) + { + rsi_against_position = false; + bars_against_count = 0; + } + + // Exit short position when RSI reaches sell target + if(rsi_current <= RSI_Target_Sell) + { + ClosePosition(); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Check for entry signals | +//+------------------------------------------------------------------+ +void CheckEntrySignals() +{ + // Buy signal: RSI crosses from oversold to above oversold (checking the actual crossover) + if(rsi_two_bars_ago <= RSI_Oversold && rsi_prev > RSI_Oversold) + { + OpenBuyPosition(); + } + + // Sell signal: RSI crosses from overbought to below overbought (checking the actual crossover) + if(rsi_two_bars_ago >= RSI_Overbought && rsi_prev < RSI_Overbought) + { + OpenSellPosition(); + } +} + +//+------------------------------------------------------------------+ +//| Open buy position | +//+------------------------------------------------------------------+ +void OpenBuyPosition() +{ + // Verify no position exists for THIS EA (magic number) on THIS symbol before opening + if(PositionExistsByMagic(_Symbol, (ulong)MagicNumber)) + { + return; // Position already exists for this EA + } + + double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + + if(trade.Buy(LotSize, _Symbol, ask, 0, 0, "RSI Scalping Buy")) + { + ulong new_ticket = trade.ResultOrder(); + if(new_ticket > 0) + { + // Verify position was opened for THIS EA (magic number) on THIS symbol + if(PositionSelectByTicketSymbolAndMagic(new_ticket, _Symbol, (ulong)MagicNumber)) + { + position_ticket = new_ticket; + position_open = true; + current_position_type = POSITION_TYPE_BUY; + } + else + { + Print("Error: Position opened but doesn't match EA magic number or symbol"); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Open sell position | +//+------------------------------------------------------------------+ +void OpenSellPosition() +{ + // Verify no position exists for THIS EA (magic number) on THIS symbol before opening + if(PositionExistsByMagic(_Symbol, (ulong)MagicNumber)) + { + return; // Position already exists for this EA + } + + double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + + if(trade.Sell(LotSize, _Symbol, bid, 0, 0, "RSI Scalping Sell")) + { + ulong new_ticket = trade.ResultOrder(); + if(new_ticket > 0) + { + // Verify position was opened for THIS EA (magic number) on THIS symbol + if(PositionSelectByTicketSymbolAndMagic(new_ticket, _Symbol, (ulong)MagicNumber)) + { + position_ticket = new_ticket; + position_open = true; + current_position_type = POSITION_TYPE_SELL; + } + else + { + Print("Error: Position opened but doesn't match EA magic number or symbol"); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Close current position | +//+------------------------------------------------------------------+ +void ClosePosition() +{ + // Close position using helper that verifies symbol AND magic number for THIS EA + if(ClosePositionByMagic(trade, 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b/frontline/units/DarvasBoxXAUUSD/run_backtest.py new file mode 100644 index 0000000..63e5af3 --- /dev/null +++ b/frontline/units/DarvasBoxXAUUSD/run_backtest.py @@ -0,0 +1,470 @@ +""" +DarvasBoxXAUUSD bar backtest — mirrors main.mq5 inputs and logic. + +Outputs (in this folder): + backtest_report.json, trades.csv, report.png, + equity_curve.png, drawdown.png, monthly_returns.png, + pnl_distribution.png, exit_reasons.png + +Usage: + python run_backtest.py + python run_backtest.py --start 2021-01-01 --end 2026-01-01 +""" + +from __future__ import annotations + +import argparse +import json +import sys +from dataclasses import asdict, dataclass +from datetime import datetime +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) + +from cluster_audit.backtest_core import ( # noqa: E402 + BacktestReport, + CostModel, + Trade, + build_report, + calc_profit, + fill_price, + load_bars, + resolve_symbol, +) + + +@dataclass +class DarvasParams: + box_period: int = 165 + box_deviation: float = 25140.0 + volume_threshold: int = 938 + stop_loss_pts: float = 1665.0 + take_profit_pts: float = 3685.0 + ma_period: int = 125 + trend_threshold: float = 4.94 + volume_ma_period: int = 110 + volume_threshold_multiplier: float = 1.5 + lot_size: float = 0.01 + initial_balance: float = 10_000.0 + + def to_dict(self) -> dict: + return asdict(self) + + +def weighted_price(df: pd.DataFrame) -> pd.Series: + return (df["high"] + df["low"] + df["close"]) / 3.0 + + +def align_higher_tf_ma(h1_index: pd.DatetimeIndex, h2_ma: pd.Series) -> np.ndarray: + aligned = h2_ma.reindex(h1_index, method="ffill") + return aligned.to_numpy() + + +def volume_ma_ratio(vols: np.ndarray, i: int, period: int) -> float: + if i < period: + return 0.0 + window = vols[i - period : i] + if len(window) == 0: + return 0.0 + vma = float(np.mean(window)) + if vma <= 0: + return 0.0 + return float(vols[i]) / vma + + +def backtest_darvas_unit( + h1: pd.DataFrame, + h2_ma: np.ndarray, + symbol: str, + params: DarvasParams, + costs: CostModel, + period_label: str, +) -> BacktestReport: + info = mt5.symbol_info(symbol) + point = float(info.point) if info else 0.01 + max_range = params.box_deviation * point + sl_dist = params.stop_loss_pts * point + tp_dist = params.take_profit_pts * point + + highs = h1["high"].to_numpy() + lows = h1["low"].to_numpy() + opens = h1["open"].to_numpy() + closes = h1["close"].to_numpy() + vols = h1["tick_volume"].to_numpy() if "tick_volume" in h1.columns else np.zeros(len(h1)) + + trades: list[Trade] = [] + equity = [params.initial_balance] + side: str | None = None + entry = 0.0 + entry_i = 0 + entry_time = None + sl = 0.0 + tp = 0.0 + + warmup = params.box_period + params.ma_period + params.volume_ma_period + 2 + + def close_pos(i: int, mid: float, reason: str) -> None: + nonlocal side, entry, entry_i, entry_time, sl, tp + if side is None: + return + exit_px = fill_price(mid, point, costs, side, entry=False) + commission = costs.commission_per_lot * params.lot_size * 2.0 + profit = calc_profit(symbol, side, params.lot_size, entry, exit_px) - commission + trades.append( + Trade( + side=side, + open_time=entry_time, + close_time=h1.index[i], + open_price=entry, + close_price=exit_px, + volume=params.lot_size, + profit=profit, + bars_held=i - entry_i, + exit_reason=reason, + ) + ) + equity.append(equity[-1] + profit) + side = None + + def open_pos(i: int, order_side: str, mid: float) -> None: + nonlocal side, entry, entry_i, entry_time, sl, tp + side = order_side + entry = fill_price(mid, point, costs, order_side, entry=True) + entry_i = i + entry_time = h1.index[i] + if order_side == "BUY": + sl = entry - sl_dist + tp = entry + tp_dist + else: + sl = entry + sl_dist + tp = entry - tp_dist + + def trend_ok(i: int, order_side: str, price: float) -> bool: + ma_v = float(h2_ma[i - 1]) + if np.isnan(ma_v): + return False + strength = abs(price - ma_v) / point + if order_side == "BUY": + return price > ma_v and strength > params.trend_threshold + return price < ma_v and strength > params.trend_threshold + + for i in range(warmup, len(h1)): + bar_hi = float(highs[i]) + bar_lo = float(lows[i]) + mid = float(opens[i]) + + if side: + if side == "BUY": + if sl > 0 and bar_lo <= sl: + close_pos(i, sl, "sl") + elif tp > 0 and bar_hi >= tp: + close_pos(i, tp, "tp") + else: + if sl > 0 and bar_hi >= sl: + close_pos(i, sl, "sl") + elif tp > 0 and bar_lo <= tp: + close_pos(i, tp, "tp") + if len(equity) == len(trades) + 1: + equity.append(equity[-1]) + continue + + window_hi = float(np.max(highs[i - params.box_period : i])) + window_lo = float(np.min(lows[i - params.box_period : i])) + if (window_hi - window_lo) > max_range: + equity.append(equity[-1]) + continue + + box_high, box_low = window_hi, window_lo + cur_vol = float(vols[i]) + if cur_vol <= params.volume_threshold: + equity.append(equity[-1]) + continue + + vol_ratio = volume_ma_ratio(vols, i, params.volume_ma_period) + if vol_ratio <= params.volume_threshold_multiplier: + equity.append(equity[-1]) + continue + + ask_price = mid + break_up = bar_hi > box_high or float(closes[i - 1]) > box_high + break_dn = bar_lo < box_low or float(closes[i - 1]) < box_low + + if break_up and trend_ok(i, "BUY", ask_price): + open_pos(i, "BUY", mid) + elif break_dn and trend_ok(i, "SELL", ask_price): + open_pos(i, "SELL", mid) + + equity.append(equity[-1]) + + if side: + close_pos(len(h1) - 1, float(closes[-1]), "eod") + + eq = pd.Series(equity[: len(h1)], index=h1.index[: len(equity)]) + return build_report( + "DarvasBoxXAUUSD", + symbol, + "H1", + period_label, + trades, + eq, + params.initial_balance, + params.to_dict(), + ) + + +def plot_dashboard(report: BacktestReport, out_dir: Path) -> None: + trades = report.trades_list + if not trades: + fig, ax = plt.subplots(figsize=(10, 4)) + ax.text(0.5, 0.5, "No trades in backtest window", ha="center", va="center", fontsize=14) + ax.axis("off") + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + return + + df = pd.DataFrame( + [ + { + "open_time": t.open_time, + "close_time": t.close_time, + "profit": t.profit, + "exit_reason": t.exit_reason, + "side": t.side, + } + for t in trades + ] + ) + df["close_time"] = pd.to_datetime(df["close_time"]) + df = df.sort_values("close_time") + cumulative = df["profit"].cumsum() + equity = report.params.get("initial_balance", 10_000.0) + cumulative + + fig = plt.figure(figsize=(14, 10)) + gs = fig.add_gridspec(3, 2, height_ratios=[2, 1.2, 1.2]) + + ax1 = fig.add_subplot(gs[0, :]) + ax1.plot(df["close_time"], equity, color="#1f77b4", lw=1.8) + ax1.axhline(report.params.get("initial_balance", 10_000.0), color="gray", ls="--", lw=1) + ax1.set_title("Equity Curve") + ax1.set_ylabel("Balance") + ax1.grid(alpha=0.3) + + ax2 = fig.add_subplot(gs[1, 0]) + peak = equity.cummax() + dd = (equity - peak) / peak * 100.0 + ax2.fill_between(df["close_time"], dd, 0, color="#d62728", alpha=0.35) + ax2.plot(df["close_time"], dd, color="#8b0000", lw=1) + ax2.set_title("Drawdown %") + ax2.grid(alpha=0.3) + + ax3 = fig.add_subplot(gs[1, 1]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + colors = ["#2ca02c" if v >= 0 else "#d62728" for v in monthly] + ax3.bar(range(len(monthly)), monthly.values, color=colors, alpha=0.8) + ax3.set_title("Monthly PnL") + ax3.set_xticks(range(0, len(monthly), max(1, len(monthly) // 8))) + ax3.set_xticklabels([str(monthly.index[i]) for i in range(0, len(monthly), max(1, len(monthly) // 8))], rotation=45, ha="right") + ax3.axhline(0, color="black", lw=0.6) + ax3.grid(alpha=0.3, axis="y") + + ax4 = fig.add_subplot(gs[2, 0]) + ax4.hist(df["profit"], bins=30, color="#9467bd", alpha=0.85, edgecolor="white") + ax4.axvline(0, color="black", lw=0.8) + ax4.set_title("Trade PnL Distribution") + ax4.grid(alpha=0.3) + + ax5 = fig.add_subplot(gs[2, 1]) + reasons = df["exit_reason"].value_counts() + ax5.bar(reasons.index.astype(str), reasons.values, color="#ff7f0e", alpha=0.85) + ax5.set_title("Exit Reasons") + ax5.grid(alpha=0.3, axis="y") + + summary = ( + f"Net: ${report.net_profit:,.2f} | Trades: {report.total_trades} | " + f"WR: {report.win_rate:.1f}% | PF: {report.profit_factor:.2f} | " + f"MaxDD: {report.max_drawdown_pct:.2f}% | Sharpe: {report.sharpe:.2f}" + ) + fig.suptitle(f"DarvasBoxXAUUSD — {summary}", fontsize=11, y=0.98) + fig.tight_layout(rect=[0, 0, 1, 0.96]) + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + + +def plot_equity(report: BacktestReport, path: Path) -> None: + trades = report.trades_list + if not trades: + return + df = pd.DataFrame([{"close_time": t.close_time, "profit": t.profit} for t in trades]) + df["close_time"] = pd.to_datetime(df["close_time"]) + df = df.sort_values("close_time") + equity = report.params.get("initial_balance", 10_000.0) + df["profit"].cumsum() + plt.figure(figsize=(12, 5)) + plt.plot(df["close_time"], equity, lw=2) + plt.title("Equity Curve") + plt.xlabel("Time") + plt.ylabel("Balance") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(path, dpi=200, bbox_inches="tight") + plt.close() + + +def plot_drawdown(report: BacktestReport, path: Path) -> None: + trades = report.trades_list + if not trades: + return + df = pd.DataFrame([{"close_time": t.close_time, "profit": t.profit} for t in trades]) + df["close_time"] = pd.to_datetime(df["close_time"]) + df = df.sort_values("close_time") + equity = report.params.get("initial_balance", 10_000.0) + df["profit"].cumsum() + dd = (equity - equity.cummax()) / equity.cummax() * 100.0 + plt.figure(figsize=(12, 5)) + plt.fill_between(df["close_time"], dd, 0, color="red", alpha=0.3) + plt.plot(df["close_time"], dd, color="darkred", lw=1) + plt.title("Drawdown %") + plt.xlabel("Time") + plt.ylabel("Drawdown (%)") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(path, dpi=200, bbox_inches="tight") + plt.close() + + +def plot_monthly(report: BacktestReport, path: Path) -> None: + trades = report.trades_list + if not trades: + return + df = pd.DataFrame([{"close_time": t.close_time, "profit": t.profit} for t in trades]) + df["close_time"] = pd.to_datetime(df["close_time"]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + colors = ["green" if v >= 0 else "red" for v in monthly] + plt.figure(figsize=(12, 5)) + plt.bar(range(len(monthly)), monthly.values, color=colors, alpha=0.75) + plt.xticks(range(len(monthly)), [str(x) for x in monthly.index], rotation=45, ha="right") + plt.axhline(0, color="black", lw=0.5) + plt.title("Monthly PnL") + plt.ylabel("Profit") + plt.grid(alpha=0.3, axis="y") + plt.tight_layout() + plt.savefig(path, dpi=200, bbox_inches="tight") + plt.close() + + +def plot_pnl_hist(report: BacktestReport, path: Path) -> None: + profits = [t.profit for t in report.trades_list] + if not profits: + return + plt.figure(figsize=(10, 5)) + plt.hist(profits, bins=40, color="#6a5acd", alpha=0.85, edgecolor="white") + plt.axvline(0, color="black", lw=0.8) + plt.title("Per-Trade PnL Distribution") + plt.xlabel("Profit") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(path, dpi=200, bbox_inches="tight") + plt.close() + + +def plot_exit_reasons(report: BacktestReport, path: Path) -> None: + if not report.exit_reason_breakdown: + return + labels = list(report.exit_reason_breakdown.keys()) + counts = [report.exit_reason_breakdown[k]["count"] for k in labels] + plt.figure(figsize=(8, 5)) + plt.bar(labels, counts, color="#e377c2", alpha=0.85) + plt.title("Exit Reason Counts") + plt.grid(alpha=0.3, axis="y") + plt.tight_layout() + plt.savefig(path, dpi=200, bbox_inches="tight") + plt.close() + + +def export_trades_csv(report: BacktestReport, path: Path) -> None: + rows = [] + for t in report.trades_list: + rows.append( + { + "side": t.side, + "open_time": t.open_time, + "close_time": t.close_time, + "open_price": t.open_price, + "close_price": t.close_price, + "volume": t.volume, + "profit": t.profit, + "bars_held": t.bars_held, + "exit_reason": t.exit_reason, + } + ) + pd.DataFrame(rows).to_csv(path, index=False) + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description="DarvasBoxXAUUSD Python backtest") + p.add_argument("--symbol", default="XAUUSD") + p.add_argument("--start", default="2021-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--balance", type=float, default=10_000.0) + return p.parse_args() + + +def main() -> None: + args = parse_args() + out_dir = Path(__file__).resolve().parent + params = DarvasParams(initial_balance=args.balance) + + if not mt5.initialize(): + raise SystemExit("MetaTrader5 initialize() failed — open MT5 and log in.") + + try: + symbol = resolve_symbol(args.symbol) + start = datetime.fromisoformat(args.start) + end = datetime.fromisoformat(args.end) + period_label = f"{args.start}_{args.end}" + + print(f"Loading H1/H2 bars for {symbol} ...") + h1 = load_bars(symbol, mt5.TIMEFRAME_H1, start, end) + h2 = load_bars(symbol, mt5.TIMEFRAME_H2, start, end) + h2_ma = weighted_price(h2).ewm(span=params.ma_period, adjust=False).mean() + ma_on_h1 = align_higher_tf_ma(h1.index, h2_ma) + + costs = CostModel.for_symbol(symbol) + report = backtest_darvas_unit(h1, ma_on_h1, symbol, params, costs, period_label) + + export_trades_csv(report, out_dir / "trades.csv") + with open(out_dir / "backtest_report.json", "w", encoding="utf-8") as f: + json.dump(report.to_dict(), f, indent=2, ensure_ascii=False) + + plot_dashboard(report, out_dir) + plot_equity(report, out_dir / "equity_curve.png") + plot_drawdown(report, out_dir / "drawdown.png") + plot_monthly(report, out_dir / "monthly_returns.png") + plot_pnl_hist(report, out_dir / "pnl_distribution.png") + plot_exit_reasons(report, out_dir / "exit_reasons.png") + + print("\n=== DarvasBoxXAUUSD Backtest ===") + print(f"Symbol: {symbol}") + print(f"Period: {period_label}") + print(f"Net profit: ${report.net_profit:,.2f}") + print(f"Trades: {report.total_trades}") + print(f"Win rate: {report.win_rate:.2f}%") + print(f"Profit fac: {report.profit_factor:.2f}") + print(f"Max DD: {report.max_drawdown_pct:.2f}%") + print(f"Sharpe: {report.sharpe:.2f}") + print(f"\nReports saved to: {out_dir}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/frontline/units/EMASlopeDistanceCocktailXAUUSD/report.html b/frontline/units/EMASlopeDistanceCocktailXAUUSD/report.html deleted file mode 100644 index 8d9931ff2cb1f08db57f053ae8cae2d908f9597f..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1883870 zcmeFa-LLJ-btSa(0umBxq<%(yIw6W9#V6;LEHVO@cZ8jf8Mk6i17b@Dg6C!h5!9__%BBN-uc@x 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backtest_report.json, trades.csv, report.png, + equity_curve.png, drawdown.png, monthly_returns.png, + pnl_distribution.png, exit_reasons.png + +Usage: + python run_backtest.py + python run_backtest.py --start 2021-01-01 --end 2026-01-01 +""" + +from __future__ import annotations + +import argparse +import json +import sys +from dataclasses import asdict, dataclass +from datetime import datetime +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) + +from cluster_audit.backtest_core import ( # noqa: E402 + BacktestReport, + CostModel, + Trade, + build_report, + calc_profit, + fill_price, + load_bars, + resolve_symbol, +) +from indicator_utils import calculate_dmi, calculate_ema # noqa: E402 + +STRATEGY_ID = "EMASlopeDistanceCocktailXAUUSD" + + +@dataclass +class SimState: + side: str | None = None + entry: float = 0.0 + entry_i: int = 0 + entry_time: object = None + sl: float = 0.0 + tp: float = 0.0 + bars_against: int = 0 + rsi_against: bool = False + + +def run_single_position( + df: pd.DataFrame, + symbol: str, + point: float, + costs: CostModel, + lot: float, + tf_label: str, + period_label: str, + params: dict, + initial_balance: float, + on_bar, +) -> BacktestReport: + trades: list[Trade] = [] + equity = [initial_balance] + st = SimState() + + def close(i: int, mid: float, reason: str) -> None: + nonlocal st + if st.side is None: + return + exit_px = fill_price(mid, point, costs, st.side, entry=False) + commission = costs.commission_per_lot * lot * 2.0 + profit = calc_profit(symbol, st.side, lot, st.entry, exit_px) - commission + trades.append( + Trade( + side=st.side, + open_time=st.entry_time, + close_time=df.index[i], + open_price=st.entry, + close_price=exit_px, + volume=lot, + profit=profit, + bars_held=i - st.entry_i, + exit_reason=reason, + ) + ) + equity.append(equity[-1] + profit) + st = SimState() + + def open_pos(i: int, side: str, mid: float) -> None: + nonlocal st + st.side = side + st.entry = fill_price(mid, point, costs, side, entry=True) + st.entry_i = i + st.entry_time = df.index[i] + + for i in range(1, len(df)): + on_bar(i, st, open_pos, close) + if len(equity) == len(trades) + 1: + equity.append(equity[-1]) + + if st.side is not None: + close(len(df) - 1, float(df["close"].iloc[-1]), "eod") + + eq = pd.Series(equity[: len(df)], index=df.index[: len(equity)]) + return build_report(STRATEGY_ID, symbol, tf_label, period_label, trades, eq, initial_balance, params) + + +def save_reports(report: BacktestReport, out_dir: Path) -> None: + rows = [ + { + "side": t.side, + "open_time": t.open_time, + "close_time": t.close_time, + "open_price": t.open_price, + "close_price": t.close_price, + "volume": t.volume, + "profit": t.profit, + "bars_held": t.bars_held, + "exit_reason": t.exit_reason, + } + for t in report.trades_list + ] + pd.DataFrame(rows).to_csv(out_dir / "trades.csv", index=False) + with open(out_dir / "backtest_report.json", "w", encoding="utf-8") as f: + json.dump(report.to_dict(), f, indent=2, ensure_ascii=False) + + trades = report.trades_list + if not trades: + fig, ax = plt.subplots(figsize=(10, 4)) + ax.text(0.5, 0.5, "No trades in backtest window", ha="center", va="center", fontsize=14) + ax.axis("off") + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + return + + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df = df.sort_values("close_time") + bal0 = report.params.get("initial_balance", 10_000.0) + equity = bal0 + df["profit"].cumsum() + + fig = plt.figure(figsize=(14, 10)) + gs = fig.add_gridspec(3, 2, height_ratios=[2, 1.2, 1.2]) + ax1 = fig.add_subplot(gs[0, :]) + ax1.plot(df["close_time"], equity, lw=1.8) + ax1.axhline(bal0, color="gray", ls="--") + ax1.set_title("Equity Curve") + ax1.grid(alpha=0.3) + ax2 = fig.add_subplot(gs[1, 0]) + dd = (equity - equity.cummax()) / equity.cummax() * 100 + ax2.fill_between(df["close_time"], dd, 0, color="#d62728", alpha=0.35) + ax2.set_title("Drawdown %") + ax2.grid(alpha=0.3) + ax3 = fig.add_subplot(gs[1, 1]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + ax3.bar(range(len(monthly)), monthly.values, color=["#2ca02c" if v >= 0 else "#d62728" for v in monthly]) + ax3.set_title("Monthly PnL") + ax3.axhline(0, color="black", lw=0.6) + ax4 = fig.add_subplot(gs[2, 0]) + ax4.hist(df["profit"], bins=30, color="#9467bd", alpha=0.85) + ax4.axvline(0, color="black") + ax4.set_title("Trade PnL Distribution") + ax5 = fig.add_subplot(gs[2, 1]) + rc = df["exit_reason"].value_counts() + ax5.bar(rc.index.astype(str), rc.values, color="#ff7f0e") + ax5.set_title("Exit Reasons") + fig.suptitle( + f"{STRATEGY_ID} — Net ${report.net_profit:,.2f} | Trades {report.total_trades} | " + f"WR {report.win_rate:.1f}% | PF {report.profit_factor:.2f} | MaxDD {report.max_drawdown_pct:.2f}%", + fontsize=11, + ) + fig.tight_layout(rect=[0, 0, 1, 0.96]) + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + + plt.figure(figsize=(12, 5)) + plt.plot(df["close_time"], equity, lw=2) + plt.title("Equity Curve") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "equity_curve.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.fill_between(df["close_time"], dd, 0, color="red", alpha=0.3) + plt.plot(df["close_time"], dd, color="darkred") + plt.title("Drawdown %") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "drawdown.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.bar(range(len(monthly)), monthly.values, color=["green" if v >= 0 else "red" for v in monthly], alpha=0.75) + plt.title("Monthly PnL") + plt.axhline(0, color="black") + plt.grid(alpha=0.3, axis="y") + plt.tight_layout() + plt.savefig(out_dir / "monthly_returns.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(10, 5)) + plt.hist(df["profit"], bins=40, color="#6a5acd", alpha=0.85) + plt.axvline(0, color="black") + plt.title("Per-Trade PnL Distribution") + plt.tight_layout() + plt.savefig(out_dir / "pnl_distribution.png", dpi=200, bbox_inches="tight") + plt.close() + + if report.exit_reason_breakdown: + labels = list(report.exit_reason_breakdown.keys()) + counts = [report.exit_reason_breakdown[k]["count"] for k in labels] + plt.figure(figsize=(8, 5)) + plt.bar(labels, counts, color="#e377c2") + plt.title("Exit Reason Counts") + plt.tight_layout() + plt.savefig(out_dir / "exit_reasons.png", dpi=200, bbox_inches="tight") + plt.close() + + + +@dataclass +class StrategyParams: + ema_period: int = 65 + price_threshold_pips: float = 375 + slope_threshold_pips: float = 15.0 + monitor_timeout_sec: int = 340 + trailing_stop_pips: float = 74.0 + lot_size: float = 0.07 + max_trades_per_crossover: int = 48 + profit_check_bars: int = 36 + close_unprofitable_trades: bool = True + use_weekly_adx_filter: bool = True + weekly_adx_period: int = 28 + weekly_adx_min: float = 25.0 + weekly_adx_bar_shift: int = 8 + weekly_adx_use_direction: bool = True + initial_balance: float = 10_000.0 + + def to_dict(self) -> dict: + return asdict(self) + + +def make_params(balance: float) -> StrategyParams: + return StrategyParams(initial_balance=balance) + + +def _pip_multiplier(symbol: str) -> float: + info = mt5.symbol_info(symbol) + digits = int(info.digits) if info else 2 + return 10.0 if digits in (3, 5) else 1.0 + + +def run_backtest(df, symbol, params: StrategyParams, costs, period_label): + info = mt5.symbol_info(symbol) + point = float(info.point) if info else 0.01 + mult = _pip_multiplier(symbol) + ema = calculate_ema(df["close"], params.ema_period).to_numpy() + closes = df["close"].to_numpy() + opens = df["open"].to_numpy() + highs = df["high"].to_numpy() + lows = df["low"].to_numpy() + wdf = df.resample("W-FRI").agg({"high": "max", "low": "min", "close": "last"}).dropna() + dmi = calculate_dmi(wdf, params.weekly_adx_period) + w_adx = dmi["adx"].shift(params.weekly_adx_bar_shift).reindex(df.index, method="ffill") + w_plus = dmi["plus_di"].shift(params.weekly_adx_bar_shift).reindex(df.index, method="ffill") + w_minus = dmi["minus_di"].shift(params.weekly_adx_bar_shift).reindex(df.index, method="ffill") + p = params.to_dict() + timeout_bars = max(0, int(params.monitor_timeout_sec / 3600)) # H1 = 3600s, same as MQL int cast + + price_trig = slope_trig = monitor = False + monitor_i = -1 + trades_cross = 0 + last_close = last_ema = 0.0 + profit_checked = False + + def weekly_ok(i: int, side: str) -> bool: + if not params.use_weekly_adx_filter: + return True + adx_v = float(w_adx.iloc[i - 1]) + if np.isnan(adx_v) or adx_v < params.weekly_adx_min: + return False + if not params.weekly_adx_use_direction: + return True + pdi, mdi = float(w_plus.iloc[i - 1]), float(w_minus.iloc[i - 1]) + return pdi > mdi if side == "BUY" else mdi > pdi + + def on_bar(i, st, open_pos, close): + nonlocal price_trig, slope_trig, monitor, monitor_i, trades_cross, last_close, last_ema, profit_checked + if i < params.ema_period + 3 or np.isnan(ema[i - 1]) or np.isnan(ema[i - 2]): + return + + mid = float(opens[i]) + bar_close = float(closes[i - 1]) + ema_now, ema_prev = float(ema[i - 1]), float(ema[i - 2]) + + if last_close != 0.0: + if (last_close <= last_ema and bar_close > ema_now) or (last_close >= last_ema and bar_close < ema_now): + trades_cross = 0 + last_close, last_ema = bar_close, ema_now + + price_dist = abs(bar_close - ema_now) / point / mult + if price_dist > params.price_threshold_pips and not price_trig: + price_trig = True + slope = (ema_now - ema_prev) / point / mult + if abs(slope) > params.slope_threshold_pips and not slope_trig: + slope_trig = True + + if price_trig and slope_trig and not monitor: + monitor, monitor_i = True, i + + if monitor and monitor_i >= 0 and (i - monitor_i) > timeout_bars: + monitor = price_trig = slope_trig = False + + if st.side: + bar_close_now = float(closes[i - 1]) + unrealized = calc_profit(symbol, st.side, params.lot_size, st.entry, bar_close_now) + + # Trailing stop — MQL: only when position_profit > 0 + if unrealized > 0 and params.trailing_stop_pips > 0: + trail_px = params.trailing_stop_pips * point * mult + if st.side == "BUY": + new_sl = bar_close_now - trail_px + st.sl = max(st.sl, new_sl) if st.sl > 0 else new_sl + if st.sl > 0 and float(lows[i]) <= st.sl: + close(i, st.sl, "trail") + profit_checked = False + return + else: + new_sl = bar_close_now + trail_px + st.sl = min(st.sl, new_sl) if st.sl > 0 else new_sl + if st.sl > 0 and float(highs[i]) >= st.sl: + close(i, st.sl, "trail") + profit_checked = False + return + + # EMA crossover exit — MQL: no profit requirement + if (st.side == "BUY" and bar_close_now < ema_now) or (st.side == "SELL" and bar_close_now > ema_now): + close(i, mid, "ema_cross") + profit_checked = False + return + + # Profit check after X bars — MQL: close if profit <= 0, then stop checking + if params.close_unprofitable_trades and not profit_checked: + if (i - st.entry_i) >= params.profit_check_bars: + if unrealized <= 0: + close(i, mid, "profit_check") + profit_checked = True + return + + if not monitor or trades_cross >= params.max_trades_per_crossover: + return + + if bar_close > ema_now and weekly_ok(i, "BUY"): + open_pos(i, "BUY", mid) + trades_cross += 1 + monitor = price_trig = slope_trig = False + profit_checked = False + elif bar_close < ema_now and weekly_ok(i, "SELL"): + open_pos(i, "SELL", mid) + trades_cross += 1 + monitor = price_trig = slope_trig = False + profit_checked = False + + return run_single_position(df, symbol, point, costs, params.lot_size, "H1", period_label, p, params.initial_balance, on_bar) + + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description=f"{STRATEGY_ID} Python backtest") + p.add_argument("--symbol", default="XAUUSD") + p.add_argument("--start", default="2021-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--balance", type=float, default=10_000.0) + return p.parse_args() + + +def main() -> None: + args = parse_args() + out_dir = Path(__file__).resolve().parent + params = make_params(args.balance) + if not mt5.initialize(): + raise SystemExit("MetaTrader5 initialize() failed") + try: + symbol = resolve_symbol(args.symbol) + start = datetime.fromisoformat(args.start) + end = datetime.fromisoformat(args.end) + period_label = f"{args.start}_{args.end}" + print(f"Loading {symbol} bars ...") + df = load_bars(symbol, mt5.TIMEFRAME_H1, start, end) + costs = CostModel.for_symbol(symbol) + report = run_backtest(df, symbol, params, costs, period_label) + save_reports(report, out_dir) + print(f"Net: ${report.net_profit:,.2f} | Trades: {report.total_trades} | WR: {report.win_rate:.1f}% | PF: {report.profit_factor:.2f}") + print(f"Saved to {out_dir}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/frontline/units/RSICrossOverReversalXAUUSD/run_backtest.py b/frontline/units/RSICrossOverReversalXAUUSD/run_backtest.py new file mode 100644 index 0000000..462714a --- /dev/null +++ b/frontline/units/RSICrossOverReversalXAUUSD/run_backtest.py @@ -0,0 +1,307 @@ +""" +RSICrossOverReversalXAUUSD — bar backtest mirroring main.mq5 inputs. + +Outputs in this folder: + backtest_report.json, trades.csv, report.png, + equity_curve.png, drawdown.png, monthly_returns.png, + pnl_distribution.png, exit_reasons.png + +Usage: + python run_backtest.py + python run_backtest.py --start 2021-01-01 --end 2026-01-01 +""" + +from __future__ import annotations + +import argparse +import json +import sys +from dataclasses import asdict, dataclass +from datetime import datetime +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) + +from cluster_audit.backtest_core import ( # noqa: E402 + BacktestReport, + CostModel, + load_bars, + resolve_symbol, + run_single_position, +) +from indicator_utils import calculate_adx, calculate_atr, calculate_dmi, calculate_ema, calculate_rsi # noqa: E402 + +STRATEGY_ID = "RSICrossOverReversalXAUUSD" + + +def save_reports(report: BacktestReport, out_dir: Path) -> None: + rows = [ + { + "side": t.side, + "open_time": t.open_time, + "close_time": t.close_time, + "open_price": t.open_price, + "close_price": t.close_price, + "volume": t.volume, + "profit": t.profit, + "bars_held": t.bars_held, + "exit_reason": t.exit_reason, + } + for t in report.trades_list + ] + pd.DataFrame(rows).to_csv(out_dir / "trades.csv", index=False) + with open(out_dir / "backtest_report.json", "w", encoding="utf-8") as f: + json.dump(report.to_dict(), f, indent=2, ensure_ascii=False) + + trades = report.trades_list + if not trades: + fig, ax = plt.subplots(figsize=(10, 4)) + ax.text(0.5, 0.5, "No trades in backtest window", ha="center", va="center", fontsize=14) + ax.axis("off") + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + return + + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df = df.sort_values("close_time") + bal0 = report.params.get("initial_balance", 10_000.0) + equity = bal0 + df["profit"].cumsum() + + fig = plt.figure(figsize=(14, 10)) + gs = fig.add_gridspec(3, 2, height_ratios=[2, 1.2, 1.2]) + ax1 = fig.add_subplot(gs[0, :]) + ax1.plot(df["close_time"], equity, lw=1.8) + ax1.axhline(bal0, color="gray", ls="--") + ax1.set_title("Equity Curve") + ax1.grid(alpha=0.3) + ax2 = fig.add_subplot(gs[1, 0]) + dd = (equity - equity.cummax()) / equity.cummax() * 100 + ax2.fill_between(df["close_time"], dd, 0, color="#d62728", alpha=0.35) + ax2.set_title("Drawdown %") + ax2.grid(alpha=0.3) + ax3 = fig.add_subplot(gs[1, 1]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + ax3.bar(range(len(monthly)), monthly.values, color=["#2ca02c" if v >= 0 else "#d62728" for v in monthly]) + ax3.set_title("Monthly PnL") + ax3.axhline(0, color="black", lw=0.6) + ax4 = fig.add_subplot(gs[2, 0]) + ax4.hist(df["profit"], bins=30, color="#9467bd", alpha=0.85) + ax4.axvline(0, color="black") + ax4.set_title("Trade PnL Distribution") + ax5 = fig.add_subplot(gs[2, 1]) + rc = df["exit_reason"].value_counts() + ax5.bar(rc.index.astype(str), rc.values, color="#ff7f0e") + ax5.set_title("Exit Reasons") + fig.suptitle( + f"{STRATEGY_ID} — Net ${report.net_profit:,.2f} | Trades {report.total_trades} | " + f"WR {report.win_rate:.1f}% | PF {report.profit_factor:.2f} | MaxDD {report.max_drawdown_pct:.2f}%", + fontsize=11, + ) + fig.tight_layout(rect=[0, 0, 1, 0.96]) + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + + plt.figure(figsize=(12, 5)) + plt.plot(df["close_time"], equity, lw=2) + plt.title("Equity Curve") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "equity_curve.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.fill_between(df["close_time"], dd, 0, color="red", alpha=0.3) + plt.plot(df["close_time"], dd, color="darkred") + plt.title("Drawdown %") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "drawdown.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.bar(range(len(monthly)), monthly.values, color=["green" if v >= 0 else "red" for v in monthly], alpha=0.75) + plt.title("Monthly PnL") + plt.axhline(0, color="black") + plt.grid(alpha=0.3, axis="y") + plt.tight_layout() + plt.savefig(out_dir / "monthly_returns.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(10, 5)) + plt.hist(df["profit"], bins=40, color="#6a5acd", alpha=0.85) + plt.axvline(0, color="black") + plt.title("Per-Trade PnL Distribution") + plt.tight_layout() + plt.savefig(out_dir / "pnl_distribution.png", dpi=200, bbox_inches="tight") + plt.close() + + if report.exit_reason_breakdown: + labels = list(report.exit_reason_breakdown.keys()) + counts = [report.exit_reason_breakdown[k]["count"] for k in labels] + plt.figure(figsize=(8, 5)) + plt.bar(labels, counts, color="#e377c2") + plt.title("Exit Reason Counts") + plt.tight_layout() + plt.savefig(out_dir / "exit_reasons.png", dpi=200, bbox_inches="tight") + plt.close() + + + +@dataclass +class StrategyParams: + rsi_period: int = 19 + ema_period: int = 140 + overbought_level: float = 93 + oversold_level: float = 22 + exit_buy_rsi: float = 86 + exit_sell_rsi: float = 10 + trailing_stop_pts: float = 295 + ema_slope_threshold: float = 105 + ema_distance_threshold: float = 165 + use_trend_strength_filter: bool = True + cooldown_seconds: int = 209 + lot_size: float = 0.1 + initial_balance: float = 10_000.0 + + def to_dict(self) -> dict: + return asdict(self) + + +def make_params(balance: float) -> StrategyParams: + return StrategyParams(initial_balance=balance) + + + +def _price_to_ema_score(close: float, ema: float) -> float: + return abs(close - ema) * 10.0 + + +def run_backtest(df_m12, df_m1, symbol, params: StrategyParams, costs, period_label): + info = mt5.symbol_info(symbol) + point = float(info.point) if info else 0.01 + rsi_s = calculate_rsi(df_m1["close"], params.rsi_period).reindex(df_m12.index, method="ffill") + ema_s = calculate_ema(df_m1["close"], params.ema_period).reindex(df_m12.index, method="ffill") + rsi = rsi_s.to_numpy() + ema = ema_s.to_numpy() + trail = params.trailing_stop_pts * point + prev_rsi = 0.0 + last_trade_time: pd.Timestamp | None = None + p = params.to_dict() + weekday_ok = {0: False, 1: False, 2: True, 3: True, 4: True, 5: False, 6: False} + cooldown = pd.Timedelta(seconds=params.cooldown_seconds) + + def hours_ok(ts) -> bool: + h = ts.hour + def win(b, e): + b, e = b % 24, e % 24 + if b < e: + return b <= h < e + return h >= b or h < e + return win(24, 22) or win(6, 19) + + def on_bar(i, st, open_pos, close): + nonlocal prev_rsi, last_trade_time + if i < 3 or np.isnan(rsi[i - 1]) or np.isnan(ema[i - 1]): + return + ts = df_m12.index[i] + if not weekday_ok.get(ts.weekday(), False) or not hours_ok(ts): + if st.side: + close(i, float(df_m12["open"].iloc[i]), "hours") + return + cur = float(rsi[i - 1]) + if prev_rsi == 0.0: + prev_rsi = cur + return + ema_slope = (float(ema[i - 1]) - float(ema[i - 2])) * 100.0 + bar_close = float(df_m12["close"].iloc[i - 1]) + price_to_ema = abs((float(df_m12["close"].iloc[i - 1]) - ema[i - 1]) * 10.0) + slope_th = params.ema_slope_threshold + dist_th = params.ema_distance_threshold + trend_strong = params.use_trend_strength_filter and ( + (slope_th > 0 and abs(ema_slope) > slope_th) + or (dist_th > 0 and price_to_ema > dist_th) + ) + mid = float(df_m12["open"].iloc[i]) + if st.side == "BUY" and trail > 0: + bid = float(df_m12["close"].iloc[i]) + if bid - st.entry > trail: + st.sl = max(st.sl, bid - trail) + if st.sl > 0 and float(df_m12["low"].iloc[i]) <= st.sl: + close(i, st.sl, "trail") + prev_rsi = cur + return + if st.side == "SELL" and trail > 0: + ask = float(df_m12["close"].iloc[i]) + if st.entry - ask > trail: + st.sl = ask + trail if st.sl == 0 else min(st.sl, ask + trail) + if st.sl > 0 and float(df_m12["high"].iloc[i]) >= st.sl: + close(i, st.sl, "trail") + prev_rsi = cur + return + if st.side == "BUY" and cur > params.exit_buy_rsi: + close(i, mid, "exit_rsi") + elif st.side == "SELL" and cur < params.exit_sell_rsi: + close(i, mid, "exit_rsi") + elif trend_strong and st.side: + close(i, mid, "trend_strong") + elif not st.side and not trend_strong: + cooled = last_trade_time is None or (ts - last_trade_time) >= cooldown + if cooled and prev_rsi >= params.overbought_level and cur < params.overbought_level: + open_pos(i, "SELL", mid) + last_trade_time = ts + elif cooled and prev_rsi <= params.oversold_level and cur > params.oversold_level: + open_pos(i, "BUY", mid) + last_trade_time = ts + prev_rsi = cur + + return run_single_position( + df_m12, symbol, point, costs, params.lot_size, + STRATEGY_ID, "M12", period_label, p, params.initial_balance, on_bar, bar_seconds=720, + ) + + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description=f"{STRATEGY_ID} Python backtest") + p.add_argument("--symbol", default="XAUUSD") + p.add_argument("--start", default="2021-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--balance", type=float, default=10_000.0) + return p.parse_args() + + +def main() -> None: + args = parse_args() + out_dir = Path(__file__).resolve().parent + params = make_params(args.balance) + if not mt5.initialize(): + raise SystemExit("MetaTrader5 initialize() failed") + try: + symbol = resolve_symbol(args.symbol) + start = datetime.fromisoformat(args.start) + end = datetime.fromisoformat(args.end) + period_label = f"{args.start}_{args.end}" + print(f"Loading {symbol} M1 + M12 bars ...") + df_m1 = load_bars(symbol, mt5.TIMEFRAME_M1, start, end) + df_m12 = load_bars(symbol, mt5.TIMEFRAME_M12, start, end) + costs = CostModel.for_symbol(symbol) + report = run_backtest(df_m12, df_m1, symbol, params, costs, period_label) + save_reports(report, out_dir) + print(f"Net: ${report.net_profit:,.2f} | Trades: {report.total_trades} | WR: {report.win_rate:.1f}% | PF: {report.profit_factor:.2f}") + print(f"Saved to {out_dir}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/frontline/units/RSIMidPointHijackXAUUSD/report.html b/frontline/units/RSIMidPointHijackXAUUSD/report.html deleted file mode 100644 index a731713c85028a333a92aff102220079456ff170..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 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StrategyParams(initial_balance=balance) + + +def _in_hours(h: int, start: int, end: int) -> bool: + if start <= end: + return start <= h < end + return h >= start or h < end + + +def save_reports(report: BacktestReport, out_dir: Path) -> None: + rows = [ + { + "side": t.side, + "open_time": t.open_time, + "close_time": t.close_time, + "open_price": t.open_price, + "close_price": t.close_price, + "volume": t.volume, + "profit": t.profit, + "bars_held": t.bars_held, + "exit_reason": t.exit_reason, + } + for t in report.trades_list + ] + pd.DataFrame(rows).to_csv(out_dir / "trades.csv", index=False) + with open(out_dir / "backtest_report.json", "w", encoding="utf-8") as f: + json.dump(report.to_dict(), f, indent=2, ensure_ascii=False) + + trades = report.trades_list + if not trades: + fig, ax = plt.subplots(figsize=(10, 4)) + ax.text(0.5, 0.5, "No trades in backtest window", ha="center", va="center", fontsize=14) + ax.axis("off") + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + return + + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df = df.sort_values("close_time") + bal0 = report.params.get("initial_balance", 10_000.0) + equity = bal0 + df["profit"].cumsum() + + fig = plt.figure(figsize=(14, 10)) + gs = fig.add_gridspec(3, 2, height_ratios=[2, 1.2, 1.2]) + ax1 = fig.add_subplot(gs[0, :]) + ax1.plot(df["close_time"], equity, lw=1.8) + ax1.axhline(bal0, color="gray", ls="--") + ax1.set_title("Equity Curve") + ax1.grid(alpha=0.3) + ax2 = fig.add_subplot(gs[1, 0]) + dd = (equity - equity.cummax()) / equity.cummax() * 100 + ax2.fill_between(df["close_time"], dd, 0, color="#d62728", alpha=0.35) + ax2.set_title("Drawdown %") + ax2.grid(alpha=0.3) + ax3 = fig.add_subplot(gs[1, 1]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + ax3.bar(range(len(monthly)), monthly.values, color=["#2ca02c" if v >= 0 else "#d62728" for v in monthly]) + ax3.set_title("Monthly PnL") + ax3.axhline(0, color="black", lw=0.6) + ax4 = fig.add_subplot(gs[2, 0]) + ax4.hist(df["profit"], bins=30, color="#9467bd", alpha=0.85) + ax4.axvline(0, color="black") + ax4.set_title("Trade PnL Distribution") + ax5 = fig.add_subplot(gs[2, 1]) + rc = df["exit_reason"].value_counts() + ax5.bar(rc.index.astype(str), rc.values, color="#ff7f0e") + ax5.set_title("Exit Reasons") + fig.suptitle( + f"{STRATEGY_ID} — Net ${report.net_profit:,.2f} | Trades {report.total_trades} | " + f"WR {report.win_rate:.1f}% | PF {report.profit_factor:.2f} | MaxDD {report.max_drawdown_pct:.2f}%", + fontsize=11, + ) + fig.tight_layout(rect=[0, 0, 1, 0.96]) + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + + plt.figure(figsize=(12, 5)) + plt.plot(df["close_time"], equity, lw=2) + plt.title("Equity Curve") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "equity_curve.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.fill_between(df["close_time"], dd, 0, color="red", alpha=0.3) + plt.plot(df["close_time"], dd, color="darkred") + plt.title("Drawdown %") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "drawdown.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.bar(range(len(monthly)), monthly.values, color=["green" if v >= 0 else "red" for v in monthly], alpha=0.75) + plt.title("Monthly PnL") + plt.axhline(0, color="black") + plt.grid(alpha=0.3, axis="y") + plt.tight_layout() + plt.savefig(out_dir / "monthly_returns.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(10, 5)) + plt.hist(df["profit"], bins=40, color="#6a5acd", alpha=0.85) + plt.axvline(0, color="black") + plt.title("Per-Trade PnL Distribution") + plt.tight_layout() + plt.savefig(out_dir / "pnl_distribution.png", dpi=200, bbox_inches="tight") + plt.close() + + if report.exit_reason_breakdown: + labels = list(report.exit_reason_breakdown.keys()) + counts = [report.exit_reason_breakdown[k]["count"] for k in labels] + plt.figure(figsize=(8, 5)) + plt.bar(labels, counts, color="#e377c2") + plt.title("Exit Reason Counts") + plt.tight_layout() + plt.savefig(out_dir / "exit_reasons.png", dpi=200, bbox_inches="tight") + plt.close() + + +def run_backtest(df: pd.DataFrame, symbol: str, params: StrategyParams, costs: CostModel, period_label: str) -> BacktestReport: + info = mt5.symbol_info(symbol) + point = float(info.point) if info else 0.01 + lot = params.lot_size + lock_px = params.lock_profit_threshold_pts * point + + rsi_f = calculate_rsi(df["close"], params.rsi_period).to_numpy() + rsi_r = calculate_rsi(df["close"], params.rev_period).to_numpy() + ema = calculate_ema(df["close"], params.ema_period).to_numpy() + closes = df["close"].to_numpy() + + slots = { + "follow": PositionSlot("follow"), + "reverse": PositionSlot("reverse"), + "ema": PositionSlot("ema"), + } + trades: list[Trade] = [] + equity = [params.initial_balance] + + rsi_ob = rsi_os = False + rev_ob = rev_os = False + ema_buy_sig = ema_sell_sig = False + ema_sig_bar = 0 + rev_cooldown_until = -1 + + def unrealized(slot: PositionSlot, mid: float) -> float: + if slot.side is None: + return 0.0 + return calc_profit(symbol, slot.side, lot, slot.entry, mid) + + def close_slot(slot: PositionSlot, i: int, mid: float, reason: str) -> float: + nonlocal rev_cooldown_until + if slot.side is None: + return 0.0 + exit_px = fill_price(mid, point, costs, slot.side, entry=False) + commission = costs.commission_per_lot * lot * 2.0 + profit = calc_profit(symbol, slot.side, lot, slot.entry, exit_px) - commission + trades.append( + Trade( + side=slot.side, + open_time=slot.entry_time, + close_time=df.index[i], + open_price=slot.entry, + close_price=exit_px, + volume=lot, + profit=profit, + bars_held=i - slot.entry_i, + exit_reason=reason, + ) + ) + if slot.name == "reverse": + if not params.rev_cooldown_on_loss or profit < 0: + rev_cooldown_until = i + params.rev_cooldown_bars + slot.side = None + slot.entry = 0.0 + return profit + + def open_slot(slot: PositionSlot, i: int, side: str, mid: float) -> None: + slot.side = side + slot.entry = fill_price(mid, point, costs, side, entry=True) + slot.entry_i = i + slot.entry_time = df.index[i] + + def is_opposite(a: str, b: str) -> bool: + return (a, b) in {("follow", "reverse"), ("reverse", "follow"), ("ema", "follow"), ("ema", "reverse"), ("follow", "ema"), ("reverse", "ema")} + + def apply_strategy_lock(requesting: str, mid: float) -> bool: + if not params.enable_strategy_lock: + return False + blocked = False + for name, slot in slots.items(): + if name == requesting or slot.side is None: + continue + pnl = unrealized(slot, mid) + if pnl > lock_px: + blocked = True + if params.close_opposite_trades and is_opposite(requesting, name): + close_slot(slot, i, mid, "opposite_close") + return blocked + + def distance_buy_ok(i: int) -> bool: + for j in range(params.ema_distance_period): + bar = i - 1 - j + if bar < 0 or np.isnan(ema[bar]): + return False + if (closes[bar] - ema[bar]) / point < params.ema_distance_pts: + return False + return True + + def distance_sell_ok(i: int) -> bool: + for j in range(params.ema_distance_period): + bar = i - 1 - j + if bar < 0 or np.isnan(ema[bar]): + return False + if (ema[bar] - closes[bar]) / point < params.ema_distance_pts: + return False + return True + + warmup = max(params.rsi_period, params.rev_period, params.ema_period, params.ema_distance_period) + 3 + + for i in range(1, len(df)): + bar_pnl = 0.0 + if i < warmup or np.isnan(rsi_f[i - 1]) or np.isnan(rsi_r[i - 1]) or np.isnan(ema[i - 1]): + equity.append(equity[-1]) + continue + + h = df.index[i].hour + mid = float(df["open"].iloc[i]) + rf = float(rsi_f[i - 1]) + rr = float(rsi_r[i - 1]) + em = float(ema[i - 1]) + cl = float(closes[i - 1]) + em_prev = float(ema[i - 2]) if not np.isnan(ema[i - 2]) else em + cl_prev = float(closes[i - 2]) + + # --- exits (CheckExitConditions) --- + follow = slots["follow"] + if follow.side == "BUY" and rf < params.rsi_exit: + bar_pnl += close_slot(follow, i, mid, "follow_exit") + elif follow.side == "SELL" and rf > params.rsi_exit: + bar_pnl += close_slot(follow, i, mid, "follow_exit") + + reverse = slots["reverse"] + if reverse.side == "BUY" and rr < params.rev_exit: + bar_pnl += close_slot(reverse, i, mid, "rev_exit") + elif reverse.side == "SELL" and rr > params.rev_exit: + bar_pnl += close_slot(reverse, i, mid, "rev_exit") + + ema_slot = slots["ema"] + if ema_slot.side == "BUY" and em > cl: + bar_pnl += close_slot(ema_slot, i, mid, "ema_exit") + elif ema_slot.side == "SELL" and em < cl: + bar_pnl += close_slot(ema_slot, i, mid, "ema_exit") + + # close EMA outside trading hours + if params.ema_close_outside and ema_slot.side and not _in_hours(h, params.ema_start, params.ema_end): + bar_pnl += close_slot(ema_slot, i, mid, "ema_hours") + + if params.follow_close_outside and follow.side and not _in_hours(h, params.follow_start, params.follow_end): + bar_pnl += close_slot(follow, i, mid, "follow_hours") + + if params.rev_close_outside and reverse.side and not _in_hours(h, params.rev_start, params.rev_end): + bar_pnl += close_slot(reverse, i, mid, "rev_hours") + + # --- RSI Follow entries --- + if params.enable_rsi_follow and _in_hours(h, params.follow_start, params.follow_end): + if not apply_strategy_lock("follow", mid): + if rf > params.rsi_ob: + rsi_ob = True + elif rf < params.rsi_os: + rsi_os = True + if rsi_ob and rf < params.rsi_exit and follow.side is None: + open_slot(follow, i, "SELL", mid) + rsi_ob = False + elif rsi_os and rf > params.rsi_exit and follow.side is None: + open_slot(follow, i, "BUY", mid) + rsi_os = False + + # --- RSI Reverse entries --- + if params.enable_rsi_reverse and _in_hours(h, params.rev_start, params.rev_end): + in_cooldown = params.rev_cooldown_bars > 0 and i < rev_cooldown_until + if not in_cooldown and not apply_strategy_lock("reverse", mid): + if rr > params.rev_ob: + rev_ob = True + elif rr < params.rev_os: + rev_os = True + if rev_ob and rr < params.rev_cross and reverse.side is None: + open_slot(reverse, i, "SELL", mid) + rev_ob = False + elif rev_os and rr > params.rev_cross and reverse.side is None: + open_slot(reverse, i, "BUY", mid) + rev_os = False + + # --- EMA cross signals --- + if em_prev < cl_prev and em > cl: + ema_buy_sig = True + ema_sell_sig = False + ema_sig_bar = 0 + elif em_prev > cl_prev and em < cl: + ema_sell_sig = True + ema_buy_sig = False + ema_sig_bar = 0 + + if params.enable_ema_cross and _in_hours(h, params.ema_start, params.ema_end): + if not apply_strategy_lock("ema", mid) and ema_slot.side is None: + if params.use_ema_distance_entry: + if ema_buy_sig and distance_buy_ok(i): + open_slot(ema_slot, i, "BUY", mid) + ema_buy_sig = False + elif ema_sell_sig and distance_sell_ok(i): + open_slot(ema_slot, i, "SELL", mid) + ema_sell_sig = False + else: + if em_prev < cl_prev and em > cl: + open_slot(ema_slot, i, "BUY", mid) + elif em_prev > cl_prev and em < cl: + open_slot(ema_slot, i, "SELL", mid) + + if ema_buy_sig or ema_sell_sig: + ema_sig_bar += 1 + if ema_sig_bar > params.ema_distance_period * 2: + ema_buy_sig = ema_sell_sig = False + + equity.append(equity[-1] + bar_pnl) + + for slot in slots.values(): + if slot.side is not None: + profit = close_slot(slot, len(df) - 1, float(closes[-1]), "eod") + equity[-1] += profit + + eq = pd.Series(equity[: len(df)], index=df.index[: len(equity)]) + return build_report( + STRATEGY_ID, symbol, "H1", period_label, trades, eq, params.initial_balance, params.to_dict(), + ) + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description=f"{STRATEGY_ID} Python backtest") + p.add_argument("--symbol", default="XAUUSD") + p.add_argument("--start", default="2021-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--balance", type=float, default=10_000.0) + p.add_argument("--no-strategy-lock", action="store_true", help="Match MT5 report with lock disabled") + p.add_argument("--lot", type=float, default=None, help="Override lot size (default 0.1 from main.mq5)") + return p.parse_args() + + +def main() -> None: + args = parse_args() + out_dir = Path(__file__).resolve().parent + params = make_params(args.balance) + if args.no_strategy_lock: + params.enable_strategy_lock = False + params.close_opposite_trades = False + if args.lot is not None: + params.lot_size = args.lot + if not mt5.initialize(): + raise SystemExit("MetaTrader5 initialize() failed") + try: + symbol = resolve_symbol(args.symbol) + start = datetime.fromisoformat(args.start) + end = datetime.fromisoformat(args.end) + period_label = f"{args.start}_{args.end}" + print(f"Loading {symbol} H1 bars ...") + df = load_bars(symbol, mt5.TIMEFRAME_H1, start, end) + costs = CostModel.for_symbol(symbol) + report = run_backtest(df, symbol, params, costs, period_label) + save_reports(report, out_dir) + print(f"Net: ${report.net_profit:,.2f} | Trades: {report.total_trades} | WR: {report.win_rate:.1f}% | PF: {report.profit_factor:.2f}") + print(f"Saved to {out_dir}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/frontline/units/RSIReversalAsianAUDUSD/run_backtest.py b/frontline/units/RSIReversalAsianAUDUSD/run_backtest.py new file mode 100644 index 0000000..c0d9710 --- /dev/null +++ b/frontline/units/RSIReversalAsianAUDUSD/run_backtest.py @@ -0,0 +1,282 @@ +""" +RSIReversalAsianEURUSD — bar backtest mirroring main.mq5 inputs. + +Outputs in this folder: + backtest_report.json, trades.csv, report.png, + equity_curve.png, drawdown.png, monthly_returns.png, + pnl_distribution.png, exit_reasons.png + +Usage: + python run_backtest.py + python run_backtest.py --start 2021-01-01 --end 2026-01-01 +""" + +from __future__ import annotations + +import argparse +import json +import sys +from dataclasses import asdict, dataclass +from datetime import datetime +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) + +from cluster_audit.backtest_core import ( # noqa: E402 + BacktestReport, + CostModel, + load_bars, + resolve_symbol, + run_single_position, +) +from indicator_utils import calculate_rsi # noqa: E402 + +STRATEGY_ID = "RSIReversalAsianAUDUSD" + + +@dataclass +class StrategyParams: + rsi_period: int = 28 + overbought_level: float = 68 + oversold_level: float = 30 + rsi_exit_level: float = 48 + close_outside_session: bool = True + use_rsi_exit: bool = True + max_duration_hours: int = 340 + max_spread_points: int = 1000 + lot_size: float = 0.2 + asian_session_start: int = 0 + asian_session_end: int = 8 + initial_balance: float = 10_000.0 + + def to_dict(self) -> dict: + return asdict(self) + + +def make_params(balance: float) -> StrategyParams: + return StrategyParams(initial_balance=balance) + + +def save_reports(report: BacktestReport, out_dir: Path) -> None: + rows = [ + { + "side": t.side, + "open_time": t.open_time, + "close_time": t.close_time, + "open_price": t.open_price, + "close_price": t.close_price, + "volume": t.volume, + "profit": t.profit, + "bars_held": t.bars_held, + "exit_reason": t.exit_reason, + } + for t in report.trades_list + ] + pd.DataFrame(rows).to_csv(out_dir / "trades.csv", index=False) + with open(out_dir / "backtest_report.json", "w", encoding="utf-8") as f: + json.dump(report.to_dict(), f, indent=2, ensure_ascii=False) + + bal0 = report.params.get("initial_balance", 10_000.0) + if report.equity_curve is not None and len(report.equity_curve) > 1: + eq_s = report.equity_curve + eq_times = eq_s.index + equity = eq_s.values + elif report.trades_list: + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df = df.sort_values("close_time") + eq_times = df["close_time"] + equity = bal0 + df["profit"].cumsum().values + else: + fig, ax = plt.subplots(figsize=(10, 4)) + ax.text(0.5, 0.5, "No trades in backtest window", ha="center", va="center", fontsize=14) + ax.axis("off") + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + return + + dd = (equity - np.maximum.accumulate(equity)) / np.maximum.accumulate(equity) * 100 + + fig = plt.figure(figsize=(14, 10)) + gs = fig.add_gridspec(3, 2, height_ratios=[2, 1.2, 1.2]) + ax1 = fig.add_subplot(gs[0, :]) + ax1.plot(eq_times, equity, lw=1.8) + ax1.axhline(bal0, color="gray", ls="--") + ax1.set_title("Equity Curve") + ax1.grid(alpha=0.3) + ax2 = fig.add_subplot(gs[1, 0]) + ax2.fill_between(eq_times, dd, 0, color="#d62728", alpha=0.35) + ax2.set_title("Drawdown %") + ax2.grid(alpha=0.3) + if report.trades_list: + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + ax3 = fig.add_subplot(gs[1, 1]) + ax3.bar(range(len(monthly)), monthly.values, color=["#2ca02c" if v >= 0 else "#d62728" for v in monthly]) + ax3.set_title("Monthly PnL") + ax3.axhline(0, color="black", lw=0.6) + ax4 = fig.add_subplot(gs[2, 0]) + ax4.hist(df["profit"], bins=30, color="#9467bd", alpha=0.85) + ax4.axvline(0, color="black") + ax4.set_title("Trade PnL Distribution") + ax5 = fig.add_subplot(gs[2, 1]) + rc = df["exit_reason"].value_counts() + ax5.bar(rc.index.astype(str), rc.values, color="#ff7f0e") + ax5.set_title("Exit Reasons") + fig.suptitle( + f"{STRATEGY_ID} — Net ${report.net_profit:,.2f} | Trades {report.total_trades} | " + f"WR {report.win_rate:.1f}% | PF {report.profit_factor:.2f} | MaxDD {report.max_drawdown_pct:.2f}%", + fontsize=11, + ) + fig.tight_layout(rect=[0, 0, 1, 0.96]) + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + + plt.figure(figsize=(12, 5)) + plt.plot(eq_times, equity, lw=2) + plt.title("Equity Curve") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "equity_curve.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.fill_between(eq_times, dd, 0, color="red", alpha=0.3) + plt.plot(eq_times, dd, color="darkred") + plt.title("Drawdown %") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "drawdown.png", dpi=200, bbox_inches="tight") + plt.close() + + if report.trades_list: + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + plt.figure(figsize=(12, 5)) + plt.bar(range(len(monthly)), monthly.values, color=["green" if v >= 0 else "red" for v in monthly], alpha=0.75) + plt.title("Monthly PnL") + plt.axhline(0, color="black") + plt.grid(alpha=0.3, axis="y") + plt.tight_layout() + plt.savefig(out_dir / "monthly_returns.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(10, 5)) + plt.hist(df["profit"], bins=40, color="#6a5acd", alpha=0.85) + plt.axvline(0, color="black") + plt.title("Per-Trade PnL Distribution") + plt.tight_layout() + plt.savefig(out_dir / "pnl_distribution.png", dpi=200, bbox_inches="tight") + plt.close() + + if report.exit_reason_breakdown: + labels = list(report.exit_reason_breakdown.keys()) + counts = [report.exit_reason_breakdown[k]["count"] for k in labels] + plt.figure(figsize=(8, 5)) + plt.bar(labels, counts, color="#e377c2") + plt.title("Exit Reason Counts") + plt.tight_layout() + plt.savefig(out_dir / "exit_reasons.png", dpi=200, bbox_inches="tight") + plt.close() + + +def run_backtest(df: pd.DataFrame, symbol: str, params: StrategyParams, costs: CostModel, period_label: str) -> BacktestReport: + info = mt5.symbol_info(symbol) + point = float(info.point) if info else 0.00001 + rsi = calculate_rsi(df["close"], params.rsi_period).to_numpy() + p = params.to_dict() + session_close_done = False + + def in_session(ts) -> bool: + return params.asian_session_start <= ts.hour < params.asian_session_end + + def on_bar(i, st, open_pos, close): + nonlocal session_close_done + if i < params.rsi_period + 2 or np.isnan(rsi[i - 1]) or np.isnan(rsi[i - 2]): + return + ts = df.index[i] + prev, cur = float(rsi[i - 2]), float(rsi[i - 1]) + mid = float(df["open"].iloc[i]) + + if not in_session(ts): + if st.side and params.close_outside_session and not session_close_done: + close(i, mid, "session") + session_close_done = True + return + + session_close_done = False + + if costs.spread_points > params.max_spread_points: + return + + if st.side: + hours_held = (ts - pd.Timestamp(st.entry_time)).total_seconds() / 3600.0 + if hours_held > params.max_duration_hours: + close(i, mid, "timeout") + return + if params.use_rsi_exit: + el = params.rsi_exit_level + if st.side == "BUY" and prev < el <= cur: + close(i, mid, "rsi_exit") + return + if st.side == "SELL" and prev > el >= cur: + close(i, mid, "rsi_exit") + return + return + + if prev < params.overbought_level <= cur: + open_pos(i, "SELL", mid) + elif prev > params.oversold_level >= cur: + open_pos(i, "BUY", mid) + + return run_single_position( + df, symbol, point, costs, params.lot_size, + STRATEGY_ID, "M15", period_label, p, params.initial_balance, on_bar, bar_seconds=900, + ) + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description=f"{STRATEGY_ID} Python backtest") + p.add_argument("--symbol", default="AUDUSD") + p.add_argument("--start", default="2021-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--balance", type=float, default=10_000.0) + return p.parse_args() + + +def main() -> None: + args = parse_args() + out_dir = Path(__file__).resolve().parent + params = make_params(args.balance) + if not mt5.initialize(): + raise SystemExit("MetaTrader5 initialize() failed") + try: + symbol = resolve_symbol(args.symbol) + start = datetime.fromisoformat(args.start) + end = datetime.fromisoformat(args.end) + period_label = f"{args.start}_{args.end}" + print(f"Loading {symbol} M15 bars ...") + df = load_bars(symbol, mt5.TIMEFRAME_M15, start, end) + costs = CostModel.for_symbol(symbol) + report = run_backtest(df, symbol, params, costs, period_label) + save_reports(report, out_dir) + print(f"Net: ${report.net_profit:,.2f} | Trades: {report.total_trades} | WR: {report.win_rate:.1f}% | PF: {report.profit_factor:.2f}") + print(f"Saved to {out_dir}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/frontline/units/RSIReversalAsianAUDUSD/test-balance.png b/frontline/units/RSIReversalAsianAUDUSD/test-balance.png deleted file mode 100644 index 47d7c5d6c3b3db558c800111442e577c8c96dbd9..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 246580 zcmb@ucT`j9yEg2M9lHqFnGpq~Dpf>@4Nz$!f`~|@NS9s(5*s3hA|M@%fPmCUlTL;% 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100644 index 0000000..ee69713 --- /dev/null +++ b/frontline/units/RSIReversalAsianEURUSD/run_backtest.py @@ -0,0 +1,282 @@ +""" +RSIReversalAsianEURUSD — bar backtest mirroring main.mq5 inputs. + +Outputs in this folder: + backtest_report.json, trades.csv, report.png, + equity_curve.png, drawdown.png, monthly_returns.png, + pnl_distribution.png, exit_reasons.png + +Usage: + python run_backtest.py + python run_backtest.py --start 2021-01-01 --end 2026-01-01 +""" + +from __future__ import annotations + +import argparse +import json +import sys +from dataclasses import asdict, dataclass +from datetime import datetime +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) + +from cluster_audit.backtest_core import ( # noqa: E402 + BacktestReport, + CostModel, + load_bars, + resolve_symbol, + run_single_position, +) +from indicator_utils import calculate_rsi # noqa: E402 + +STRATEGY_ID = "RSIReversalAsianEURUSD" + + +@dataclass +class StrategyParams: + rsi_period: int = 28 + overbought_level: float = 60 + oversold_level: float = 8 + rsi_exit_level: float = 55 + close_outside_session: bool = False + use_rsi_exit: bool = True + max_duration_hours: int = 270 + max_spread_points: int = 1000 + lot_size: float = 0.1 + asian_session_start: int = 0 + asian_session_end: int = 8 + initial_balance: float = 10_000.0 + + def to_dict(self) -> dict: + return asdict(self) + + +def make_params(balance: float) -> StrategyParams: + return StrategyParams(initial_balance=balance) + + +def save_reports(report: BacktestReport, out_dir: Path) -> None: + rows = [ + { + "side": t.side, + "open_time": t.open_time, + "close_time": t.close_time, + "open_price": t.open_price, + "close_price": t.close_price, + "volume": t.volume, + "profit": t.profit, + "bars_held": t.bars_held, + "exit_reason": t.exit_reason, + } + for t in report.trades_list + ] + pd.DataFrame(rows).to_csv(out_dir / "trades.csv", index=False) + with open(out_dir / "backtest_report.json", "w", encoding="utf-8") as f: + json.dump(report.to_dict(), f, indent=2, ensure_ascii=False) + + bal0 = report.params.get("initial_balance", 10_000.0) + if report.equity_curve is not None and len(report.equity_curve) > 1: + eq_s = report.equity_curve + eq_times = eq_s.index + equity = eq_s.values + elif report.trades_list: + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df = df.sort_values("close_time") + eq_times = df["close_time"] + equity = bal0 + df["profit"].cumsum().values + else: + fig, ax = plt.subplots(figsize=(10, 4)) + ax.text(0.5, 0.5, "No trades in backtest window", ha="center", va="center", fontsize=14) + ax.axis("off") + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + return + + dd = (equity - np.maximum.accumulate(equity)) / np.maximum.accumulate(equity) * 100 + + fig = plt.figure(figsize=(14, 10)) + gs = fig.add_gridspec(3, 2, height_ratios=[2, 1.2, 1.2]) + ax1 = fig.add_subplot(gs[0, :]) + ax1.plot(eq_times, equity, lw=1.8) + ax1.axhline(bal0, color="gray", ls="--") + ax1.set_title("Equity Curve") + ax1.grid(alpha=0.3) + ax2 = fig.add_subplot(gs[1, 0]) + ax2.fill_between(eq_times, dd, 0, color="#d62728", alpha=0.35) + ax2.set_title("Drawdown %") + ax2.grid(alpha=0.3) + if report.trades_list: + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + ax3 = fig.add_subplot(gs[1, 1]) + ax3.bar(range(len(monthly)), monthly.values, color=["#2ca02c" if v >= 0 else "#d62728" for v in monthly]) + ax3.set_title("Monthly PnL") + ax3.axhline(0, color="black", lw=0.6) + ax4 = fig.add_subplot(gs[2, 0]) + ax4.hist(df["profit"], bins=30, color="#9467bd", alpha=0.85) + ax4.axvline(0, color="black") + ax4.set_title("Trade PnL Distribution") + ax5 = fig.add_subplot(gs[2, 1]) + rc = df["exit_reason"].value_counts() + ax5.bar(rc.index.astype(str), rc.values, color="#ff7f0e") + ax5.set_title("Exit Reasons") + fig.suptitle( + f"{STRATEGY_ID} — Net ${report.net_profit:,.2f} | Trades {report.total_trades} | " + f"WR {report.win_rate:.1f}% | PF {report.profit_factor:.2f} | MaxDD {report.max_drawdown_pct:.2f}%", + fontsize=11, + ) + fig.tight_layout(rect=[0, 0, 1, 0.96]) + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + + plt.figure(figsize=(12, 5)) + plt.plot(eq_times, equity, lw=2) + plt.title("Equity Curve") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "equity_curve.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.fill_between(eq_times, dd, 0, color="red", alpha=0.3) + plt.plot(eq_times, dd, color="darkred") + plt.title("Drawdown %") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "drawdown.png", dpi=200, bbox_inches="tight") + plt.close() + + if report.trades_list: + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + plt.figure(figsize=(12, 5)) + plt.bar(range(len(monthly)), monthly.values, color=["green" if v >= 0 else "red" for v in monthly], alpha=0.75) + plt.title("Monthly PnL") + plt.axhline(0, color="black") + plt.grid(alpha=0.3, axis="y") + plt.tight_layout() + plt.savefig(out_dir / "monthly_returns.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(10, 5)) + plt.hist(df["profit"], bins=40, color="#6a5acd", alpha=0.85) + plt.axvline(0, color="black") + plt.title("Per-Trade PnL Distribution") + plt.tight_layout() + plt.savefig(out_dir / "pnl_distribution.png", dpi=200, bbox_inches="tight") + plt.close() + + if report.exit_reason_breakdown: + labels = list(report.exit_reason_breakdown.keys()) + counts = [report.exit_reason_breakdown[k]["count"] for k in labels] + plt.figure(figsize=(8, 5)) + plt.bar(labels, counts, color="#e377c2") + plt.title("Exit Reason Counts") + plt.tight_layout() + plt.savefig(out_dir / "exit_reasons.png", dpi=200, bbox_inches="tight") + plt.close() + + +def run_backtest(df: pd.DataFrame, symbol: str, params: StrategyParams, costs: CostModel, period_label: str) -> BacktestReport: + info = mt5.symbol_info(symbol) + point = float(info.point) if info else 0.00001 + rsi = calculate_rsi(df["close"], params.rsi_period).to_numpy() + p = params.to_dict() + session_close_done = False + + def in_session(ts) -> bool: + return params.asian_session_start <= ts.hour < params.asian_session_end + + def on_bar(i, st, open_pos, close): + nonlocal session_close_done + if i < params.rsi_period + 2 or np.isnan(rsi[i - 1]) or np.isnan(rsi[i - 2]): + return + ts = df.index[i] + prev, cur = float(rsi[i - 2]), float(rsi[i - 1]) + mid = float(df["open"].iloc[i]) + + if not in_session(ts): + if st.side and params.close_outside_session and not session_close_done: + close(i, mid, "session") + session_close_done = True + return + + session_close_done = False + + if st.side: + hours_held = (ts - pd.Timestamp(st.entry_time)).total_seconds() / 3600.0 + if hours_held > params.max_duration_hours: + close(i, mid, "timeout") + return + if params.use_rsi_exit: + el = params.rsi_exit_level + if st.side == "BUY" and prev < el <= cur: + close(i, mid, "rsi_exit") + return + if st.side == "SELL" and prev > el >= cur: + close(i, mid, "rsi_exit") + return + return + + if costs.spread_points > params.max_spread_points: + return + + if prev < params.overbought_level <= cur: + open_pos(i, "SELL", mid) + elif prev > params.oversold_level >= cur: + open_pos(i, "BUY", mid) + + return run_single_position( + df, symbol, point, costs, params.lot_size, + STRATEGY_ID, "M15", period_label, p, params.initial_balance, on_bar, bar_seconds=900, + ) + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description=f"{STRATEGY_ID} Python backtest") + p.add_argument("--symbol", default="EURUSD") + p.add_argument("--start", default="2021-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--balance", type=float, default=10_000.0) + return p.parse_args() + + +def main() -> None: + args = parse_args() + out_dir = Path(__file__).resolve().parent + params = make_params(args.balance) + if not mt5.initialize(): + raise SystemExit("MetaTrader5 initialize() failed") + try: + symbol = resolve_symbol(args.symbol) + start = datetime.fromisoformat(args.start) + end = datetime.fromisoformat(args.end) + period_label = f"{args.start}_{args.end}" + print(f"Loading {symbol} M15 bars ...") + df = load_bars(symbol, mt5.TIMEFRAME_M15, start, end) + costs = CostModel.for_symbol(symbol) + report = run_backtest(df, symbol, params, costs, period_label) + save_reports(report, out_dir) + print(f"Net: 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+from dataclasses import asdict, dataclass +from datetime import datetime +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) + +from cluster_audit.backtest_core import ( # noqa: E402 + BacktestReport, + CostModel, + load_bars, + resolve_symbol, + run_single_position, +) +from indicator_utils import calculate_rsi # noqa: E402 + +STRATEGY_ID = "RSIReversalAsianGBPUSD" + + +@dataclass +class StrategyParams: + rsi_period: int = 32 + overbought_level: float = 80 + oversold_level: float = 37 + rsi_exit_level: float = 43 + close_outside_session: bool = True + use_rsi_exit: bool = True + max_duration_hours: int = 480 + max_spread_points: int = 1800 + lot_size: float = 0.2 + asian_session_start: int = 0 + asian_session_end: int = 8 + initial_balance: float = 10_000.0 + + def to_dict(self) -> dict: + return asdict(self) + + +def make_params(balance: float) -> StrategyParams: + return StrategyParams(initial_balance=balance) + + +def save_reports(report: BacktestReport, out_dir: Path) -> None: + rows = [ + { + "side": t.side, + "open_time": t.open_time, + "close_time": t.close_time, + "open_price": t.open_price, + "close_price": t.close_price, + "volume": t.volume, + "profit": t.profit, + "bars_held": t.bars_held, + "exit_reason": t.exit_reason, + } + for t in report.trades_list + ] + pd.DataFrame(rows).to_csv(out_dir / "trades.csv", index=False) + with open(out_dir / "backtest_report.json", "w", encoding="utf-8") as f: + json.dump(report.to_dict(), f, indent=2, ensure_ascii=False) + + bal0 = report.params.get("initial_balance", 10_000.0) + if report.equity_curve is not None and len(report.equity_curve) > 1: + eq_s = report.equity_curve + eq_times = eq_s.index + equity = eq_s.values + elif report.trades_list: + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df = df.sort_values("close_time") + eq_times = df["close_time"] + equity = bal0 + df["profit"].cumsum().values + else: + fig, ax = plt.subplots(figsize=(10, 4)) + ax.text(0.5, 0.5, "No trades in backtest window", ha="center", va="center", fontsize=14) + ax.axis("off") + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + return + + dd = (equity - np.maximum.accumulate(equity)) / np.maximum.accumulate(equity) * 100 + + fig = plt.figure(figsize=(14, 10)) + gs = fig.add_gridspec(3, 2, height_ratios=[2, 1.2, 1.2]) + ax1 = fig.add_subplot(gs[0, :]) + ax1.plot(eq_times, equity, lw=1.8) + ax1.axhline(bal0, color="gray", ls="--") + ax1.set_title("Equity Curve") + ax1.grid(alpha=0.3) + ax2 = fig.add_subplot(gs[1, 0]) + ax2.fill_between(eq_times, dd, 0, color="#d62728", alpha=0.35) + ax2.set_title("Drawdown %") + ax2.grid(alpha=0.3) + if report.trades_list: + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + ax3 = fig.add_subplot(gs[1, 1]) + ax3.bar(range(len(monthly)), monthly.values, color=["#2ca02c" if v >= 0 else "#d62728" for v in monthly]) + ax3.set_title("Monthly PnL") + ax3.axhline(0, color="black", lw=0.6) + ax4 = fig.add_subplot(gs[2, 0]) + ax4.hist(df["profit"], bins=30, color="#9467bd", alpha=0.85) + ax4.axvline(0, color="black") + ax4.set_title("Trade PnL Distribution") + ax5 = fig.add_subplot(gs[2, 1]) + rc = df["exit_reason"].value_counts() + ax5.bar(rc.index.astype(str), rc.values, color="#ff7f0e") + ax5.set_title("Exit Reasons") + fig.suptitle( + f"{STRATEGY_ID} — Net ${report.net_profit:,.2f} | Trades {report.total_trades} | " + f"WR {report.win_rate:.1f}% | PF {report.profit_factor:.2f} | MaxDD {report.max_drawdown_pct:.2f}%", + fontsize=11, + ) + fig.tight_layout(rect=[0, 0, 1, 0.96]) + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + + plt.figure(figsize=(12, 5)) + plt.plot(eq_times, equity, lw=2) + plt.title("Equity Curve") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "equity_curve.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.fill_between(eq_times, dd, 0, color="red", alpha=0.3) + plt.plot(eq_times, dd, color="darkred") + plt.title("Drawdown %") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "drawdown.png", dpi=200, bbox_inches="tight") + plt.close() + + if report.trades_list: + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + plt.figure(figsize=(12, 5)) + plt.bar(range(len(monthly)), monthly.values, color=["green" if v >= 0 else "red" for v in monthly], alpha=0.75) + plt.title("Monthly PnL") + plt.axhline(0, color="black") + plt.grid(alpha=0.3, axis="y") + plt.tight_layout() + plt.savefig(out_dir / "monthly_returns.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(10, 5)) + plt.hist(df["profit"], bins=40, color="#6a5acd", alpha=0.85) + plt.axvline(0, color="black") + plt.title("Per-Trade PnL Distribution") + plt.tight_layout() + plt.savefig(out_dir / "pnl_distribution.png", dpi=200, bbox_inches="tight") + plt.close() + + if report.exit_reason_breakdown: + labels = list(report.exit_reason_breakdown.keys()) + counts = [report.exit_reason_breakdown[k]["count"] for k in labels] + plt.figure(figsize=(8, 5)) + plt.bar(labels, counts, color="#e377c2") + plt.title("Exit Reason Counts") + plt.tight_layout() + plt.savefig(out_dir / "exit_reasons.png", dpi=200, bbox_inches="tight") + plt.close() + + +def run_backtest(df: pd.DataFrame, symbol: str, params: StrategyParams, costs: CostModel, period_label: str) -> BacktestReport: + info = mt5.symbol_info(symbol) + point = float(info.point) if info else 0.00001 + rsi = calculate_rsi(df["close"], params.rsi_period).to_numpy() + p = params.to_dict() + session_close_done = False + + def in_session(ts) -> bool: + return params.asian_session_start <= ts.hour < params.asian_session_end + + def on_bar(i, st, open_pos, close): + nonlocal session_close_done + if i < params.rsi_period + 2 or np.isnan(rsi[i - 1]) or np.isnan(rsi[i - 2]): + return + ts = df.index[i] + prev, cur = float(rsi[i - 2]), float(rsi[i - 1]) + mid = float(df["open"].iloc[i]) + + if not in_session(ts): + if st.side and params.close_outside_session and not session_close_done: + close(i, mid, "session") + session_close_done = True + return + + session_close_done = False + + if costs.spread_points > params.max_spread_points: + return + + if st.side: + hours_held = (ts - pd.Timestamp(st.entry_time)).total_seconds() / 3600.0 + if hours_held > params.max_duration_hours: + close(i, mid, "timeout") + return + if params.use_rsi_exit: + el = params.rsi_exit_level + if st.side == "BUY" and prev < el <= cur: + close(i, mid, "rsi_exit") + return + if st.side == "SELL" and prev > el >= cur: + close(i, mid, "rsi_exit") + return + return + + if prev < params.overbought_level <= cur: + open_pos(i, "SELL", mid) + elif prev > params.oversold_level >= cur: + open_pos(i, "BUY", mid) + + return run_single_position( + df, symbol, point, costs, params.lot_size, + STRATEGY_ID, "M15", period_label, p, params.initial_balance, on_bar, bar_seconds=900, + ) + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description=f"{STRATEGY_ID} Python backtest") + p.add_argument("--symbol", default="GBPUSD") + p.add_argument("--start", default="2021-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--balance", type=float, default=10_000.0) + return p.parse_args() + + +def main() -> None: + args = parse_args() + out_dir = Path(__file__).resolve().parent + params = make_params(args.balance) + if not mt5.initialize(): + raise SystemExit("MetaTrader5 initialize() failed") + try: + symbol = resolve_symbol(args.symbol) + start = datetime.fromisoformat(args.start) + end = datetime.fromisoformat(args.end) + period_label = f"{args.start}_{args.end}" + print(f"Loading {symbol} M15 bars ...") + df = load_bars(symbol, mt5.TIMEFRAME_M15, start, end) + costs = CostModel.for_symbol(symbol) + report = run_backtest(df, symbol, params, costs, period_label) + save_reports(report, out_dir) + print(f"Net: ${report.net_profit:,.2f} | Trades: {report.total_trades} | WR: {report.win_rate:.1f}% | PF: {report.profit_factor:.2f}") + print(f"Saved to {out_dir}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/frontline/units/RSIReversalAsianGBPUSD/test-balance.png b/frontline/units/RSIReversalAsianGBPUSD/test-balance.png deleted file mode 100644 index 47d7c5d6c3b3db558c800111442e577c8c96dbd9..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 246580 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0000000..cc22237 --- /dev/null +++ b/frontline/units/RSIScalpingAPPL/run_backtest.py @@ -0,0 +1,287 @@ +""" +RSIScalpingAPPL — bar backtest mirroring main.mq5 inputs. + +Outputs in this folder: + backtest_report.json, trades.csv, report.png, + equity_curve.png, drawdown.png, monthly_returns.png, + pnl_distribution.png, exit_reasons.png + +Usage: + python run_backtest.py + python run_backtest.py --start 2021-01-01 --end 2026-01-01 +""" + +from __future__ import annotations + +import argparse +import json +import sys +from dataclasses import asdict, dataclass +from datetime import datetime +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) + +from cluster_audit.backtest_core import ( # noqa: E402 + BacktestReport, + CostModel, + load_bars, + resolve_symbol, + run_single_position, +) +from indicator_utils import calculate_adx, calculate_atr, calculate_dmi, calculate_ema, calculate_rsi # noqa: E402 + +STRATEGY_ID = "RSIScalpingAPPL" + + +def save_reports(report: BacktestReport, out_dir: Path) -> None: + rows = [ + { + "side": t.side, + "open_time": t.open_time, + "close_time": t.close_time, + "open_price": t.open_price, + "close_price": t.close_price, + "volume": t.volume, + "profit": t.profit, + "bars_held": t.bars_held, + "exit_reason": t.exit_reason, + } + for t in report.trades_list + ] + pd.DataFrame(rows).to_csv(out_dir / "trades.csv", index=False) + with open(out_dir / "backtest_report.json", "w", encoding="utf-8") as f: + json.dump(report.to_dict(), f, indent=2, ensure_ascii=False) + + trades = report.trades_list + if not trades: + fig, ax = plt.subplots(figsize=(10, 4)) + ax.text(0.5, 0.5, "No trades in backtest window", ha="center", va="center", fontsize=14) + ax.axis("off") + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + return + + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df = df.sort_values("close_time") + bal0 = report.params.get("initial_balance", 10_000.0) + if report.equity_curve is not None and len(report.equity_curve) > 1: + eq = report.equity_curve + else: + eq = pd.Series(bal0 + df["profit"].cumsum().values, index=df["close_time"]) + equity_times = eq.index + equity = eq + + fig = plt.figure(figsize=(14, 10)) + gs = fig.add_gridspec(3, 2, height_ratios=[2, 1.2, 1.2]) + ax1 = fig.add_subplot(gs[0, :]) + ax1.plot(equity_times, equity, lw=1.8) + ax1.axhline(bal0, color="gray", ls="--") + ax1.set_title("Equity Curve") + ax1.grid(alpha=0.3) + ax2 = fig.add_subplot(gs[1, 0]) + dd = (equity - equity.cummax()) / equity.cummax() * 100 + ax2.fill_between(equity_times, dd, 0, color="#d62728", alpha=0.35) + ax2.set_title("Drawdown %") + ax2.grid(alpha=0.3) + ax3 = fig.add_subplot(gs[1, 1]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + ax3.bar(range(len(monthly)), monthly.values, color=["#2ca02c" if v >= 0 else "#d62728" for v in monthly]) + ax3.set_title("Monthly PnL") + ax3.axhline(0, color="black", lw=0.6) + ax4 = fig.add_subplot(gs[2, 0]) + ax4.hist(df["profit"], bins=30, color="#9467bd", alpha=0.85) + ax4.axvline(0, color="black") + ax4.set_title("Trade PnL Distribution") + ax5 = fig.add_subplot(gs[2, 1]) + rc = df["exit_reason"].value_counts() + ax5.bar(rc.index.astype(str), rc.values, color="#ff7f0e") + ax5.set_title("Exit Reasons") + fig.suptitle( + f"{STRATEGY_ID} — Net ${report.net_profit:,.2f} | Trades {report.total_trades} | " + f"WR {report.win_rate:.1f}% | PF {report.profit_factor:.2f} | MaxDD {report.max_drawdown_pct:.2f}%", + fontsize=11, + ) + fig.tight_layout(rect=[0, 0, 1, 0.96]) + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + + plt.figure(figsize=(12, 5)) + plt.plot(equity_times, equity, lw=2) + plt.title("Equity Curve") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "equity_curve.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.fill_between(equity_times, dd, 0, color="red", alpha=0.3) + plt.plot(equity_times, dd, color="darkred") + plt.title("Drawdown %") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "drawdown.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.bar(range(len(monthly)), monthly.values, color=["green" if v >= 0 else "red" for v in monthly], alpha=0.75) + plt.title("Monthly PnL") + plt.axhline(0, color="black") + plt.grid(alpha=0.3, axis="y") + plt.tight_layout() + plt.savefig(out_dir / "monthly_returns.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(10, 5)) + plt.hist(df["profit"], bins=40, color="#6a5acd", alpha=0.85) + plt.axvline(0, color="black") + plt.title("Per-Trade PnL Distribution") + plt.tight_layout() + plt.savefig(out_dir / "pnl_distribution.png", dpi=200, bbox_inches="tight") + plt.close() + + if report.exit_reason_breakdown: + labels = list(report.exit_reason_breakdown.keys()) + counts = [report.exit_reason_breakdown[k]["count"] for k in labels] + plt.figure(figsize=(8, 5)) + plt.bar(labels, counts, color="#e377c2") + plt.title("Exit Reason Counts") + plt.tight_layout() + plt.savefig(out_dir / "exit_reasons.png", dpi=200, bbox_inches="tight") + plt.close() + + +@dataclass +class StrategyParams: + rsi_period: int = 14 + rsi_overbought: float = 80 + rsi_oversold: float = 78 + rsi_target_buy: float = 94 + rsi_target_sell: float = 44 + bars_to_wait: int = 7 + lot_size: float = 25 + use_reversal_escape: bool = False + reversal_atr_period: int = 14 + reversal_adverse_atr_mult: float = 1.5 + reversal_signs_required: int = 2 + reversal_rsi_velocity: float = 8.0 + initial_balance: float = 10_000.0 + + def to_dict(self) -> dict: + return asdict(self) + + +def make_params(balance: float) -> StrategyParams: + return StrategyParams(initial_balance=balance) + + + +def run_backtest(df, symbol, params: StrategyParams, costs, period_label): + info = mt5.symbol_info(symbol) + point = float(info.point) if info else 0.01 + rsi = calculate_rsi(df["close"], params.rsi_period).to_numpy() + atr = calculate_atr(df, params.reversal_atr_period).to_numpy() + p = params.to_dict() + + def on_bar(i, st, open_pos, close): + if i < 3 or np.isnan(rsi[i - 1]): + return + sig, prev, two = rsi[i - 1], rsi[i - 2], rsi[i - 3] + mid = float(df["open"].iloc[i]) + hi, lo = float(df["high"].iloc[i]), float(df["low"].iloc[i]) + + if st.side and params.use_reversal_escape: + a = float(atr[i - 1]) if not np.isnan(atr[i - 1]) else 0.0 + if a > 0: + signs = 0 + if st.side == "BUY": + if st.entry - lo >= params.reversal_adverse_atr_mult * a: + signs += 1 + if sig - prev >= params.reversal_rsi_velocity: + signs += 1 + else: + if hi - st.entry >= params.reversal_adverse_atr_mult * a: + signs += 1 + if prev - sig >= params.reversal_rsi_velocity: + signs += 1 + if signs >= params.reversal_signs_required: + close(i, mid, "reversal_escape") + return + + if st.side == "BUY": + if sig < params.rsi_oversold: + st.bars_against = st.bars_against + 1 if st.rsi_against else 1 + st.rsi_against = True + if st.bars_against >= params.bars_to_wait: + close(i, mid, "rsi_against") + else: + st.rsi_against = False + st.bars_against = 0 + if sig >= params.rsi_target_buy: + close(i, mid, "target") + elif st.side == "SELL": + if sig > params.rsi_overbought: + st.bars_against = st.bars_against + 1 if st.rsi_against else 1 + st.rsi_against = True + if st.bars_against >= params.bars_to_wait: + close(i, mid, "rsi_against") + else: + st.rsi_against = False + st.bars_against = 0 + if sig <= params.rsi_target_sell: + close(i, mid, "target") + else: + if two <= params.rsi_oversold and prev > params.rsi_oversold: + open_pos(i, "BUY", mid) + elif two >= params.rsi_overbought and prev < params.rsi_overbought: + open_pos(i, "SELL", mid) + + return run_single_position( + df, symbol, point, costs, params.lot_size, STRATEGY_ID, "M10", period_label, p, params.initial_balance, on_bar + ) + + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description=f"{STRATEGY_ID} Python backtest") + p.add_argument("--symbol", default="AAPL") + p.add_argument("--start", default="2021-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--balance", type=float, default=10_000.0) + return p.parse_args() + + +def main() -> None: + args = parse_args() + out_dir = Path(__file__).resolve().parent + params = make_params(args.balance) + if not mt5.initialize(): + raise SystemExit("MetaTrader5 initialize() failed") + try: + symbol = resolve_symbol(args.symbol) + start = datetime.fromisoformat(args.start) + end = datetime.fromisoformat(args.end) + period_label = f"{args.start}_{args.end}" + print(f"Loading {symbol} bars ...") + df = load_bars(symbol, mt5.TIMEFRAME_M10, start, end) + costs = CostModel.for_symbol(symbol) + report = run_backtest(df, symbol, params, costs, period_label) + save_reports(report, out_dir) + print(f"Net: ${report.net_profit:,.2f} | Trades: {report.total_trades} | WR: {report.win_rate:.1f}% | PF: {report.profit_factor:.2f}") + print(f"Saved to {out_dir}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/frontline/units/RSIScalpingBTCUSD/report.html b/frontline/units/RSIScalpingBTCUSD/report.html deleted file mode 100644 index b512b3d6580a876cd855a3c8dd54088db38de43c..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 962604 zcmeFa&#!GqcHg%(NdN(li?U-i)!mORr6F0}B>Oc< zh+-4`(Gnx4lORSiXfzbTFycWbG30;2nI-ll78Dplpad|GAIMM>CrBVzN(N5qd%i5~ zy6>!7Yt_E{?W%KDle^DEP3`hWb_7t^P{n6CVd^zSdF z?|U#^O)pN5rpM{OUY|ak-k9E>KAPT5Kkwb?JL$jQNIw;y`}yg$^waPY@w+~rKA1jt z`1)^6`14}==Q92Mo%9plPG5h0`fB<+x9TeW_j~EuchXOOn!f8>>GR)8Kk4P^FHe7I 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np +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) + +from cluster_audit.backtest_core import ( # noqa: E402 + BacktestReport, + CostModel, + load_bars, + resolve_symbol, + run_single_position, +) +from indicator_utils import calculate_adx, calculate_atr, calculate_dmi, calculate_ema, calculate_rsi # noqa: E402 + +STRATEGY_ID = "RSIScalpingBTCUSD" + + +def save_reports(report: BacktestReport, out_dir: Path) -> None: + rows = [ + { + "side": t.side, + "open_time": t.open_time, + "close_time": t.close_time, + "open_price": t.open_price, + "close_price": t.close_price, + "volume": t.volume, + "profit": t.profit, + "bars_held": t.bars_held, + "exit_reason": t.exit_reason, + } + for t in report.trades_list + ] + pd.DataFrame(rows).to_csv(out_dir / "trades.csv", index=False) + with open(out_dir / "backtest_report.json", "w", encoding="utf-8") as f: + json.dump(report.to_dict(), f, indent=2, ensure_ascii=False) + + trades = report.trades_list + if not trades: + fig, ax = plt.subplots(figsize=(10, 4)) + ax.text(0.5, 0.5, "No trades in backtest window", ha="center", va="center", fontsize=14) + ax.axis("off") + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + return + + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df = df.sort_values("close_time") + bal0 = report.params.get("initial_balance", 10_000.0) + if report.equity_curve is not None and len(report.equity_curve) > 1: + eq = report.equity_curve + else: + eq = pd.Series(bal0 + df["profit"].cumsum().values, index=df["close_time"]) + equity_times = eq.index + equity = eq + + fig = plt.figure(figsize=(14, 10)) + gs = fig.add_gridspec(3, 2, height_ratios=[2, 1.2, 1.2]) + ax1 = fig.add_subplot(gs[0, :]) + ax1.plot(equity_times, equity, lw=1.8) + ax1.axhline(bal0, color="gray", ls="--") + ax1.set_title("Equity Curve") + ax1.grid(alpha=0.3) + ax2 = fig.add_subplot(gs[1, 0]) + dd = (equity - equity.cummax()) / equity.cummax() * 100 + ax2.fill_between(equity_times, dd, 0, color="#d62728", alpha=0.35) + ax2.set_title("Drawdown %") + ax2.grid(alpha=0.3) + ax3 = fig.add_subplot(gs[1, 1]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + ax3.bar(range(len(monthly)), monthly.values, color=["#2ca02c" if v >= 0 else "#d62728" for v in monthly]) + ax3.set_title("Monthly PnL") + ax3.axhline(0, color="black", lw=0.6) + ax4 = fig.add_subplot(gs[2, 0]) + ax4.hist(df["profit"], bins=30, color="#9467bd", alpha=0.85) + ax4.axvline(0, color="black") + ax4.set_title("Trade PnL Distribution") + ax5 = fig.add_subplot(gs[2, 1]) + rc = df["exit_reason"].value_counts() + ax5.bar(rc.index.astype(str), rc.values, color="#ff7f0e") + ax5.set_title("Exit Reasons") + fig.suptitle( + f"{STRATEGY_ID} — Net ${report.net_profit:,.2f} | Trades {report.total_trades} | " + f"WR {report.win_rate:.1f}% | PF {report.profit_factor:.2f} | MaxDD {report.max_drawdown_pct:.2f}%", + fontsize=11, + ) + fig.tight_layout(rect=[0, 0, 1, 0.96]) + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + + plt.figure(figsize=(12, 5)) + plt.plot(equity_times, equity, lw=2) + plt.title("Equity Curve") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "equity_curve.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.fill_between(equity_times, dd, 0, color="red", alpha=0.3) + plt.plot(equity_times, dd, color="darkred") + plt.title("Drawdown %") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "drawdown.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.bar(range(len(monthly)), monthly.values, color=["green" if v >= 0 else "red" for v in monthly], alpha=0.75) + plt.title("Monthly PnL") + plt.axhline(0, color="black") + plt.grid(alpha=0.3, axis="y") + plt.tight_layout() + plt.savefig(out_dir / "monthly_returns.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(10, 5)) + plt.hist(df["profit"], bins=40, color="#6a5acd", alpha=0.85) + plt.axvline(0, color="black") + plt.title("Per-Trade PnL Distribution") + plt.tight_layout() + plt.savefig(out_dir / "pnl_distribution.png", dpi=200, bbox_inches="tight") + plt.close() + + if report.exit_reason_breakdown: + labels = list(report.exit_reason_breakdown.keys()) + counts = [report.exit_reason_breakdown[k]["count"] for k in labels] + plt.figure(figsize=(8, 5)) + plt.bar(labels, counts, color="#e377c2") + plt.title("Exit Reason Counts") + plt.tight_layout() + plt.savefig(out_dir / "exit_reasons.png", dpi=200, bbox_inches="tight") + plt.close() + + + +@dataclass +class StrategyParams: + rsi_period: int = 14 + rsi_overbought: float = 90 + rsi_oversold: float = 73 + rsi_target_buy: float = 88 + rsi_target_sell: float = 48 + bars_to_wait: int = 6 + lot_size: float = 0.1 + use_reversal_escape: bool = True + reversal_atr_period: int = 14 + reversal_adverse_atr_mult: float = 5.25 + reversal_signs_required: int = 2 + reversal_rsi_velocity: float = 16.0 + reversal_body_atr_mult: float = 5.1 + initial_balance: float = 10_000.0 + + def to_dict(self) -> dict: + return asdict(self) + + +def make_params(balance: float) -> StrategyParams: + return StrategyParams(initial_balance=balance) + + + +def run_backtest(df, symbol, params: StrategyParams, costs, period_label): + info = mt5.symbol_info(symbol) + point = float(info.point) if info else 0.01 + rsi = calculate_rsi(df["close"], params.rsi_period).to_numpy() + atr = calculate_atr(df, params.reversal_atr_period).to_numpy() + p = params.to_dict() + + def on_bar(i, st, open_pos, close): + if i < 3 or np.isnan(rsi[i - 1]): + return + sig, prev, two = rsi[i - 1], rsi[i - 2], rsi[i - 3] + mid = float(df["open"].iloc[i]) + hi, lo = float(df["high"].iloc[i]), float(df["low"].iloc[i]) + + if st.side and params.use_reversal_escape: + a = float(atr[i - 1]) if not np.isnan(atr[i - 1]) else 0.0 + if a > 0: + signs = 0 + if st.side == "BUY": + if st.entry - lo >= params.reversal_adverse_atr_mult * a: + signs += 1 + if sig - prev >= params.reversal_rsi_velocity: + signs += 1 + else: + if hi - st.entry >= params.reversal_adverse_atr_mult * a: + signs += 1 + if prev - sig >= params.reversal_rsi_velocity: + signs += 1 + if signs >= params.reversal_signs_required: + close(i, mid, "reversal_escape") + return + + if st.side == "BUY": + if sig < params.rsi_oversold: + st.bars_against = st.bars_against + 1 if st.rsi_against else 1 + st.rsi_against = True + if st.bars_against >= params.bars_to_wait: + close(i, mid, "rsi_against") + else: + st.rsi_against = False + st.bars_against = 0 + if sig >= params.rsi_target_buy: + close(i, mid, "target") + elif st.side == "SELL": + if sig > params.rsi_overbought: + st.bars_against = st.bars_against + 1 if st.rsi_against else 1 + st.rsi_against = True + if st.bars_against >= params.bars_to_wait: + close(i, mid, "rsi_against") + else: + st.rsi_against = False + st.bars_against = 0 + if sig <= params.rsi_target_sell: + close(i, mid, "target") + else: + if two <= params.rsi_oversold and prev > params.rsi_oversold: + open_pos(i, "BUY", mid) + elif two >= params.rsi_overbought and prev < params.rsi_overbought: + open_pos(i, "SELL", mid) + + return run_single_position( + df, symbol, point, costs, params.lot_size, STRATEGY_ID, "H1", period_label, p, params.initial_balance, on_bar + ) + + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description=f"{STRATEGY_ID} Python backtest") + p.add_argument("--symbol", default="BTCUSD") + p.add_argument("--start", default="2021-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--balance", type=float, default=10_000.0) + return p.parse_args() + + +def main() -> None: + args = parse_args() + out_dir = Path(__file__).resolve().parent + params = make_params(args.balance) + if not mt5.initialize(): + raise SystemExit("MetaTrader5 initialize() failed") + try: + symbol = resolve_symbol(args.symbol) + start = datetime.fromisoformat(args.start) + end = datetime.fromisoformat(args.end) + period_label = f"{args.start}_{args.end}" + print(f"Loading {symbol} bars ...") + df = load_bars(symbol, mt5.TIMEFRAME_H1, start, end) + costs = CostModel.for_symbol(symbol) + report = run_backtest(df, symbol, params, costs, period_label) + save_reports(report, out_dir) + print(f"Net: ${report.net_profit:,.2f} | Trades: {report.total_trades} | WR: {report.win_rate:.1f}% | PF: {report.profit_factor:.2f}") + print(f"Saved to {out_dir}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/frontline/units/RSIScalpingMU/report.html b/frontline/units/RSIScalpingMU/report.html deleted file mode 100644 index 950f95baad48155ec775a3c377697b84a5632aca..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 2231020 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equity_curve.png, drawdown.png, monthly_returns.png, + pnl_distribution.png, exit_reasons.png + +Usage: + python run_backtest.py + python run_backtest.py --start 2021-01-01 --end 2026-01-01 +""" + +from __future__ import annotations + +import argparse +import json +import sys +from dataclasses import asdict, dataclass +from datetime import datetime +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) + +from cluster_audit.backtest_core import ( # noqa: E402 + BacktestReport, + CostModel, + load_bars, + resolve_symbol, + run_single_position, +) +from indicator_utils import calculate_adx, calculate_atr, calculate_dmi, calculate_ema, calculate_rsi # noqa: E402 + +STRATEGY_ID = "RSIScalpingMU" + + +def save_reports(report: BacktestReport, out_dir: Path) -> None: + rows = [ + { + "side": t.side, + "open_time": t.open_time, + "close_time": t.close_time, + "open_price": t.open_price, + "close_price": t.close_price, + "volume": t.volume, + "profit": t.profit, + "bars_held": t.bars_held, + "exit_reason": t.exit_reason, + } + for t in report.trades_list + ] + pd.DataFrame(rows).to_csv(out_dir / "trades.csv", index=False) + with open(out_dir / "backtest_report.json", "w", encoding="utf-8") as f: + json.dump(report.to_dict(), f, indent=2, ensure_ascii=False) + + trades = report.trades_list + if not trades: + fig, ax = plt.subplots(figsize=(10, 4)) + ax.text(0.5, 0.5, "No trades in backtest window", ha="center", va="center", fontsize=14) + ax.axis("off") + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + return + + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df = df.sort_values("close_time") + bal0 = report.params.get("initial_balance", 10_000.0) + if report.equity_curve is not None and len(report.equity_curve) > 1: + eq = report.equity_curve + else: + eq = pd.Series(bal0 + df["profit"].cumsum().values, index=df["close_time"]) + equity_times = eq.index + equity = eq + + fig = plt.figure(figsize=(14, 10)) + gs = fig.add_gridspec(3, 2, height_ratios=[2, 1.2, 1.2]) + ax1 = fig.add_subplot(gs[0, :]) + ax1.plot(equity_times, equity, lw=1.8) + ax1.axhline(bal0, color="gray", ls="--") + ax1.set_title("Equity Curve") + ax1.grid(alpha=0.3) + ax2 = fig.add_subplot(gs[1, 0]) + dd = (equity - equity.cummax()) / equity.cummax() * 100 + ax2.fill_between(equity_times, dd, 0, color="#d62728", alpha=0.35) + ax2.set_title("Drawdown %") + ax2.grid(alpha=0.3) + ax3 = fig.add_subplot(gs[1, 1]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + ax3.bar(range(len(monthly)), monthly.values, color=["#2ca02c" if v >= 0 else "#d62728" for v in monthly]) + ax3.set_title("Monthly PnL") + ax3.axhline(0, color="black", lw=0.6) + ax4 = fig.add_subplot(gs[2, 0]) + ax4.hist(df["profit"], bins=30, color="#9467bd", alpha=0.85) + ax4.axvline(0, color="black") + ax4.set_title("Trade PnL Distribution") + ax5 = fig.add_subplot(gs[2, 1]) + rc = df["exit_reason"].value_counts() + ax5.bar(rc.index.astype(str), rc.values, color="#ff7f0e") + ax5.set_title("Exit Reasons") + fig.suptitle( + f"{STRATEGY_ID} — Net ${report.net_profit:,.2f} | Trades {report.total_trades} | " + f"WR {report.win_rate:.1f}% | PF {report.profit_factor:.2f} | MaxDD {report.max_drawdown_pct:.2f}%", + fontsize=11, + ) + fig.tight_layout(rect=[0, 0, 1, 0.96]) + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + + plt.figure(figsize=(12, 5)) + plt.plot(equity_times, equity, lw=2) + plt.title("Equity Curve") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "equity_curve.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.fill_between(equity_times, dd, 0, color="red", alpha=0.3) + plt.plot(equity_times, dd, color="darkred") + plt.title("Drawdown %") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "drawdown.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.bar(range(len(monthly)), monthly.values, color=["green" if v >= 0 else "red" for v in monthly], alpha=0.75) + plt.title("Monthly PnL") + plt.axhline(0, color="black") + plt.grid(alpha=0.3, axis="y") + plt.tight_layout() + plt.savefig(out_dir / "monthly_returns.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(10, 5)) + plt.hist(df["profit"], bins=40, color="#6a5acd", alpha=0.85) + plt.axvline(0, color="black") + plt.title("Per-Trade PnL Distribution") + plt.tight_layout() + plt.savefig(out_dir / "pnl_distribution.png", dpi=200, bbox_inches="tight") + plt.close() + + if report.exit_reason_breakdown: + labels = list(report.exit_reason_breakdown.keys()) + counts = [report.exit_reason_breakdown[k]["count"] for k in labels] + plt.figure(figsize=(8, 5)) + plt.bar(labels, counts, color="#e377c2") + plt.title("Exit Reason Counts") + plt.tight_layout() + plt.savefig(out_dir / "exit_reasons.png", dpi=200, bbox_inches="tight") + plt.close() + + + +@dataclass +class StrategyParams: + rsi_period: int = 14 + rsi_overbought: float = 32 + rsi_oversold: float = 86 + rsi_target_buy: float = 100 + rsi_target_sell: float = 24 + bars_to_wait: int = 34 + lot_size: float = 5 + use_reversal_escape: bool = False + reversal_atr_period: int = 14 + reversal_adverse_atr_mult: float = 1.5 + reversal_signs_required: int = 2 + reversal_rsi_velocity: float = 8.0 + initial_balance: float = 10_000.0 + + def to_dict(self) -> dict: + return asdict(self) + + +def make_params(balance: float) -> StrategyParams: + return StrategyParams(initial_balance=balance) + + + +def run_backtest(df, symbol, params: StrategyParams, costs, period_label): + info = mt5.symbol_info(symbol) + point = float(info.point) if info else 0.01 + rsi = calculate_rsi(df["close"], params.rsi_period).to_numpy() + atr = calculate_atr(df, params.reversal_atr_period).to_numpy() + p = params.to_dict() + + def on_bar(i, st, open_pos, close): + if i < 3 or np.isnan(rsi[i - 1]): + return + sig, prev, two = rsi[i - 1], rsi[i - 2], rsi[i - 3] + mid = float(df["open"].iloc[i]) + hi, lo = float(df["high"].iloc[i]), float(df["low"].iloc[i]) + + if st.side and params.use_reversal_escape: + a = float(atr[i - 1]) if not np.isnan(atr[i - 1]) else 0.0 + if a > 0: + signs = 0 + if st.side == "BUY": + if st.entry - lo >= params.reversal_adverse_atr_mult * a: + signs += 1 + if sig - prev >= params.reversal_rsi_velocity: + signs += 1 + else: + if hi - st.entry >= params.reversal_adverse_atr_mult * a: + signs += 1 + if prev - sig >= params.reversal_rsi_velocity: + signs += 1 + if signs >= params.reversal_signs_required: + close(i, mid, "reversal_escape") + return + + if st.side == "BUY": + if sig < params.rsi_oversold: + st.bars_against = st.bars_against + 1 if st.rsi_against else 1 + st.rsi_against = True + if st.bars_against >= params.bars_to_wait: + close(i, mid, "rsi_against") + else: + st.rsi_against = False + st.bars_against = 0 + if sig >= params.rsi_target_buy: + close(i, mid, "target") + elif st.side == "SELL": + if sig > params.rsi_overbought: + st.bars_against = st.bars_against + 1 if st.rsi_against else 1 + st.rsi_against = True + if st.bars_against >= params.bars_to_wait: + close(i, mid, "rsi_against") + else: + st.rsi_against = False + st.bars_against = 0 + if sig <= params.rsi_target_sell: + close(i, mid, "target") + else: + if two <= params.rsi_oversold and prev > params.rsi_oversold: + open_pos(i, "BUY", mid) + elif two >= params.rsi_overbought and prev < params.rsi_overbought: + open_pos(i, "SELL", mid) + + return run_single_position( + df, symbol, point, costs, params.lot_size, STRATEGY_ID, "M20", period_label, p, params.initial_balance, on_bar + ) + + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description=f"{STRATEGY_ID} Python backtest") + p.add_argument("--symbol", default="MU") + p.add_argument("--start", default="2021-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--balance", type=float, default=10_000.0) + return p.parse_args() + + +def main() -> None: + args = parse_args() + out_dir = Path(__file__).resolve().parent + params = make_params(args.balance) + if not mt5.initialize(): + raise SystemExit("MetaTrader5 initialize() failed") + try: + symbol = resolve_symbol(args.symbol) + start = datetime.fromisoformat(args.start) + end = datetime.fromisoformat(args.end) + period_label = f"{args.start}_{args.end}" + print(f"Loading {symbol} bars ...") + df = load_bars(symbol, mt5.TIMEFRAME_M20, start, end) + costs = CostModel.for_symbol(symbol) + report = run_backtest(df, symbol, params, costs, period_label) + save_reports(report, out_dir) + print(f"Net: ${report.net_profit:,.2f} | Trades: {report.total_trades} | WR: {report.win_rate:.1f}% | PF: {report.profit_factor:.2f}") + print(f"Saved to {out_dir}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/frontline/units/RSIScalpingNVDA/run_backtest.py b/frontline/units/RSIScalpingNVDA/run_backtest.py new file mode 100644 index 0000000..b17af68 --- /dev/null +++ b/frontline/units/RSIScalpingNVDA/run_backtest.py @@ -0,0 +1,288 @@ +""" +RSIScalpingNVDA — bar backtest mirroring main.mq5 inputs. + +Outputs in this folder: + backtest_report.json, trades.csv, report.png, + equity_curve.png, drawdown.png, monthly_returns.png, + pnl_distribution.png, exit_reasons.png + +Usage: + python run_backtest.py + python run_backtest.py --start 2021-01-01 --end 2026-01-01 +""" + +from __future__ import annotations + +import argparse +import json +import sys +from dataclasses import asdict, dataclass +from datetime import datetime +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) + +from cluster_audit.backtest_core import ( # noqa: E402 + BacktestReport, + CostModel, + load_bars, + resolve_symbol, + run_single_position, +) +from indicator_utils import calculate_adx, calculate_atr, calculate_dmi, calculate_ema, calculate_rsi # noqa: E402 + +STRATEGY_ID = "RSIScalpingNVDA" + + +def save_reports(report: BacktestReport, out_dir: Path) -> None: + rows = [ + { + "side": t.side, + "open_time": t.open_time, + "close_time": t.close_time, + "open_price": t.open_price, + "close_price": t.close_price, + "volume": t.volume, + "profit": t.profit, + "bars_held": t.bars_held, + "exit_reason": t.exit_reason, + } + for t in report.trades_list + ] + pd.DataFrame(rows).to_csv(out_dir / "trades.csv", index=False) + with open(out_dir / "backtest_report.json", "w", encoding="utf-8") as f: + json.dump(report.to_dict(), f, indent=2, ensure_ascii=False) + + trades = report.trades_list + if not trades: + fig, ax = plt.subplots(figsize=(10, 4)) + ax.text(0.5, 0.5, "No trades in backtest window", ha="center", va="center", fontsize=14) + ax.axis("off") + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + return + + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df = df.sort_values("close_time") + bal0 = report.params.get("initial_balance", 10_000.0) + if report.equity_curve is not None and len(report.equity_curve) > 1: + eq = report.equity_curve + else: + eq = pd.Series(bal0 + df["profit"].cumsum().values, index=df["close_time"]) + equity_times = eq.index + equity = eq + + fig = plt.figure(figsize=(14, 10)) + gs = fig.add_gridspec(3, 2, height_ratios=[2, 1.2, 1.2]) + ax1 = fig.add_subplot(gs[0, :]) + ax1.plot(equity_times, equity, lw=1.8) + ax1.axhline(bal0, color="gray", ls="--") + ax1.set_title("Equity Curve") + ax1.grid(alpha=0.3) + ax2 = fig.add_subplot(gs[1, 0]) + dd = (equity - equity.cummax()) / equity.cummax() * 100 + ax2.fill_between(equity_times, dd, 0, color="#d62728", alpha=0.35) + ax2.set_title("Drawdown %") + ax2.grid(alpha=0.3) + ax3 = fig.add_subplot(gs[1, 1]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + ax3.bar(range(len(monthly)), monthly.values, color=["#2ca02c" if v >= 0 else "#d62728" for v in monthly]) + ax3.set_title("Monthly PnL") + ax3.axhline(0, color="black", lw=0.6) + ax4 = fig.add_subplot(gs[2, 0]) + ax4.hist(df["profit"], bins=30, color="#9467bd", alpha=0.85) + ax4.axvline(0, color="black") + ax4.set_title("Trade PnL Distribution") + ax5 = fig.add_subplot(gs[2, 1]) + rc = df["exit_reason"].value_counts() + ax5.bar(rc.index.astype(str), rc.values, color="#ff7f0e") + ax5.set_title("Exit Reasons") + fig.suptitle( + f"{STRATEGY_ID} — Net ${report.net_profit:,.2f} | Trades {report.total_trades} | " + f"WR {report.win_rate:.1f}% | PF {report.profit_factor:.2f} | MaxDD {report.max_drawdown_pct:.2f}%", + fontsize=11, + ) + fig.tight_layout(rect=[0, 0, 1, 0.96]) + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + + plt.figure(figsize=(12, 5)) + plt.plot(equity_times, equity, lw=2) + plt.title("Equity Curve") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "equity_curve.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.fill_between(equity_times, dd, 0, color="red", alpha=0.3) + plt.plot(equity_times, dd, color="darkred") + plt.title("Drawdown %") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "drawdown.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.bar(range(len(monthly)), monthly.values, color=["green" if v >= 0 else "red" for v in monthly], alpha=0.75) + plt.title("Monthly PnL") + plt.axhline(0, color="black") + plt.grid(alpha=0.3, axis="y") + plt.tight_layout() + plt.savefig(out_dir / "monthly_returns.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(10, 5)) + plt.hist(df["profit"], bins=40, color="#6a5acd", alpha=0.85) + plt.axvline(0, color="black") + plt.title("Per-Trade PnL Distribution") + plt.tight_layout() + plt.savefig(out_dir / "pnl_distribution.png", dpi=200, bbox_inches="tight") + plt.close() + + if report.exit_reason_breakdown: + labels = list(report.exit_reason_breakdown.keys()) + counts = [report.exit_reason_breakdown[k]["count"] for k in labels] + plt.figure(figsize=(8, 5)) + plt.bar(labels, counts, color="#e377c2") + plt.title("Exit Reason Counts") + plt.tight_layout() + plt.savefig(out_dir / "exit_reasons.png", dpi=200, bbox_inches="tight") + plt.close() + + + +@dataclass +class StrategyParams: + rsi_period: int = 14 + rsi_overbought: float = 6 + rsi_oversold: float = 66 + rsi_target_buy: float = 98 + rsi_target_sell: float = 52 + bars_to_wait: int = 12 + lot_size: float = 5 + use_reversal_escape: bool = False + reversal_atr_period: int = 14 + reversal_adverse_atr_mult: float = 1.5 + reversal_signs_required: int = 2 + reversal_rsi_velocity: float = 8.0 + initial_balance: float = 10_000.0 + + def to_dict(self) -> dict: + return asdict(self) + + +def make_params(balance: float) -> StrategyParams: + return StrategyParams(initial_balance=balance) + + + +def run_backtest(df, symbol, params: StrategyParams, costs, period_label): + info = mt5.symbol_info(symbol) + point = float(info.point) if info else 0.01 + rsi = calculate_rsi(df["close"], params.rsi_period).to_numpy() + atr = calculate_atr(df, params.reversal_atr_period).to_numpy() + p = params.to_dict() + + def on_bar(i, st, open_pos, close): + if i < 3 or np.isnan(rsi[i - 1]): + return + sig, prev, two = rsi[i - 1], rsi[i - 2], rsi[i - 3] + mid = float(df["open"].iloc[i]) + hi, lo = float(df["high"].iloc[i]), float(df["low"].iloc[i]) + + if st.side and params.use_reversal_escape: + a = float(atr[i - 1]) if not np.isnan(atr[i - 1]) else 0.0 + if a > 0: + signs = 0 + if st.side == "BUY": + if st.entry - lo >= params.reversal_adverse_atr_mult * a: + signs += 1 + if sig - prev >= params.reversal_rsi_velocity: + signs += 1 + else: + if hi - st.entry >= params.reversal_adverse_atr_mult * a: + signs += 1 + if prev - sig >= params.reversal_rsi_velocity: + signs += 1 + if signs >= params.reversal_signs_required: + close(i, mid, "reversal_escape") + return + + if st.side == "BUY": + if sig < params.rsi_oversold: + st.bars_against = st.bars_against + 1 if st.rsi_against else 1 + st.rsi_against = True + if st.bars_against >= params.bars_to_wait: + close(i, mid, "rsi_against") + else: + st.rsi_against = False + st.bars_against = 0 + if sig >= params.rsi_target_buy: + close(i, mid, "target") + elif st.side == "SELL": + if sig > params.rsi_overbought: + st.bars_against = st.bars_against + 1 if st.rsi_against else 1 + st.rsi_against = True + if st.bars_against >= params.bars_to_wait: + close(i, mid, "rsi_against") + else: + st.rsi_against = False + st.bars_against = 0 + if sig <= params.rsi_target_sell: + close(i, mid, "target") + else: + if two <= params.rsi_oversold and prev > params.rsi_oversold: + open_pos(i, "BUY", mid) + elif two >= params.rsi_overbought and prev < params.rsi_overbought: + open_pos(i, "SELL", mid) + + return run_single_position( + df, symbol, point, costs, params.lot_size, STRATEGY_ID, "M20", period_label, p, params.initial_balance, on_bar + ) + + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description=f"{STRATEGY_ID} Python backtest") + p.add_argument("--symbol", default="NVDA") + p.add_argument("--start", default="2021-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--balance", type=float, default=10_000.0) + return p.parse_args() + + +def main() -> None: + args = parse_args() + out_dir = Path(__file__).resolve().parent + params = make_params(args.balance) + if not mt5.initialize(): + raise SystemExit("MetaTrader5 initialize() failed") + try: + symbol = resolve_symbol(args.symbol) + start = datetime.fromisoformat(args.start) + end = datetime.fromisoformat(args.end) + period_label = f"{args.start}_{args.end}" + print(f"Loading {symbol} bars ...") + df = load_bars(symbol, mt5.TIMEFRAME_M20, start, end) + costs = CostModel.for_symbol(symbol) + report = run_backtest(df, symbol, params, costs, period_label) + save_reports(report, out_dir) + print(f"Net: ${report.net_profit:,.2f} | Trades: {report.total_trades} | WR: {report.win_rate:.1f}% | PF: {report.profit_factor:.2f}") + print(f"Saved to {out_dir}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/frontline/units/RSIScalpingTSLA/report.html b/frontline/units/RSIScalpingTSLA/report.html deleted file mode 100644 index 950f95baad48155ec775a3c377697b84a5632aca..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 2231020 zcmeFa-LI`zn%%Yf1|%dDq+Fvo4pBN%%JJTNee6|Tw&;`2Nr39=sy@{nwbG>8RqeK| 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equity_curve.png, drawdown.png, monthly_returns.png, + pnl_distribution.png, exit_reasons.png + +Usage: + python run_backtest.py + python run_backtest.py --start 2021-01-01 --end 2026-01-01 +""" + +from __future__ import annotations + +import argparse +import json +import sys +from dataclasses import asdict, dataclass +from datetime import datetime +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) + +from cluster_audit.backtest_core import ( # noqa: E402 + BacktestReport, + CostModel, + load_bars, + resolve_symbol, + run_single_position, +) +from indicator_utils import calculate_adx, calculate_atr, calculate_dmi, calculate_ema, calculate_rsi # noqa: E402 + +STRATEGY_ID = "RSIScalpingTSLA" + + +def save_reports(report: BacktestReport, out_dir: Path) -> None: + rows = [ + { + "side": t.side, + "open_time": t.open_time, + "close_time": t.close_time, + "open_price": t.open_price, + "close_price": t.close_price, + "volume": t.volume, + "profit": t.profit, + "bars_held": t.bars_held, + "exit_reason": t.exit_reason, + } + for t in report.trades_list + ] + pd.DataFrame(rows).to_csv(out_dir / "trades.csv", index=False) + with open(out_dir / "backtest_report.json", "w", encoding="utf-8") as f: + json.dump(report.to_dict(), f, indent=2, ensure_ascii=False) + + trades = report.trades_list + if not trades: + fig, ax = plt.subplots(figsize=(10, 4)) + ax.text(0.5, 0.5, "No trades in backtest window", ha="center", va="center", fontsize=14) + ax.axis("off") + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + return + + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df = df.sort_values("close_time") + bal0 = report.params.get("initial_balance", 10_000.0) + if report.equity_curve is not None and len(report.equity_curve) > 1: + eq = report.equity_curve + else: + eq = pd.Series(bal0 + df["profit"].cumsum().values, index=df["close_time"]) + equity_times = eq.index + equity = eq + + fig = plt.figure(figsize=(14, 10)) + gs = fig.add_gridspec(3, 2, height_ratios=[2, 1.2, 1.2]) + ax1 = fig.add_subplot(gs[0, :]) + ax1.plot(equity_times, equity, lw=1.8) + ax1.axhline(bal0, color="gray", ls="--") + ax1.set_title("Equity Curve") + ax1.grid(alpha=0.3) + ax2 = fig.add_subplot(gs[1, 0]) + dd = (equity - equity.cummax()) / equity.cummax() * 100 + ax2.fill_between(equity_times, dd, 0, color="#d62728", alpha=0.35) + ax2.set_title("Drawdown %") + ax2.grid(alpha=0.3) + ax3 = fig.add_subplot(gs[1, 1]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + ax3.bar(range(len(monthly)), monthly.values, color=["#2ca02c" if v >= 0 else "#d62728" for v in monthly]) + ax3.set_title("Monthly PnL") + ax3.axhline(0, color="black", lw=0.6) + ax4 = fig.add_subplot(gs[2, 0]) + ax4.hist(df["profit"], bins=30, color="#9467bd", alpha=0.85) + ax4.axvline(0, color="black") + ax4.set_title("Trade PnL Distribution") + ax5 = fig.add_subplot(gs[2, 1]) + rc = df["exit_reason"].value_counts() + ax5.bar(rc.index.astype(str), rc.values, color="#ff7f0e") + ax5.set_title("Exit Reasons") + fig.suptitle( + f"{STRATEGY_ID} — Net ${report.net_profit:,.2f} | Trades {report.total_trades} | " + f"WR {report.win_rate:.1f}% | PF {report.profit_factor:.2f} | MaxDD {report.max_drawdown_pct:.2f}%", + fontsize=11, + ) + fig.tight_layout(rect=[0, 0, 1, 0.96]) + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + + plt.figure(figsize=(12, 5)) + plt.plot(equity_times, equity, lw=2) + plt.title("Equity Curve") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "equity_curve.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.fill_between(equity_times, dd, 0, color="red", alpha=0.3) + plt.plot(equity_times, dd, color="darkred") + plt.title("Drawdown %") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "drawdown.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.bar(range(len(monthly)), monthly.values, color=["green" if v >= 0 else "red" for v in monthly], alpha=0.75) + plt.title("Monthly PnL") + plt.axhline(0, color="black") + plt.grid(alpha=0.3, axis="y") + plt.tight_layout() + plt.savefig(out_dir / "monthly_returns.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(10, 5)) + plt.hist(df["profit"], bins=40, color="#6a5acd", alpha=0.85) + plt.axvline(0, color="black") + plt.title("Per-Trade PnL Distribution") + plt.tight_layout() + plt.savefig(out_dir / "pnl_distribution.png", dpi=200, bbox_inches="tight") + plt.close() + + if report.exit_reason_breakdown: + labels = list(report.exit_reason_breakdown.keys()) + counts = [report.exit_reason_breakdown[k]["count"] for k in labels] + plt.figure(figsize=(8, 5)) + plt.bar(labels, counts, color="#e377c2") + plt.title("Exit Reason Counts") + plt.tight_layout() + plt.savefig(out_dir / "exit_reasons.png", dpi=200, bbox_inches="tight") + plt.close() + + + +@dataclass +class StrategyParams: + rsi_period: int = 14 + rsi_overbought: float = 32 + rsi_oversold: float = 86 + rsi_target_buy: float = 100 + rsi_target_sell: float = 24 + bars_to_wait: int = 34 + lot_size: float = 5 + use_reversal_escape: bool = False + reversal_atr_period: int = 14 + reversal_adverse_atr_mult: float = 1.5 + reversal_signs_required: int = 2 + reversal_rsi_velocity: float = 8.0 + initial_balance: float = 10_000.0 + + def to_dict(self) -> dict: + return asdict(self) + + +def make_params(balance: float) -> StrategyParams: + return StrategyParams(initial_balance=balance) + + + +def run_backtest(df, symbol, params: StrategyParams, costs, period_label): + info = mt5.symbol_info(symbol) + point = float(info.point) if info else 0.01 + rsi = calculate_rsi(df["close"], params.rsi_period).to_numpy() + atr = calculate_atr(df, params.reversal_atr_period).to_numpy() + p = params.to_dict() + + def on_bar(i, st, open_pos, close): + if i < 3 or np.isnan(rsi[i - 1]): + return + sig, prev, two = rsi[i - 1], rsi[i - 2], rsi[i - 3] + mid = float(df["open"].iloc[i]) + hi, lo = float(df["high"].iloc[i]), float(df["low"].iloc[i]) + + if st.side and params.use_reversal_escape: + a = float(atr[i - 1]) if not np.isnan(atr[i - 1]) else 0.0 + if a > 0: + signs = 0 + if st.side == "BUY": + if st.entry - lo >= params.reversal_adverse_atr_mult * a: + signs += 1 + if sig - prev >= params.reversal_rsi_velocity: + signs += 1 + else: + if hi - st.entry >= params.reversal_adverse_atr_mult * a: + signs += 1 + if prev - sig >= params.reversal_rsi_velocity: + signs += 1 + if signs >= params.reversal_signs_required: + close(i, mid, "reversal_escape") + return + + if st.side == "BUY": + if sig < params.rsi_oversold: + st.bars_against = st.bars_against + 1 if st.rsi_against else 1 + st.rsi_against = True + if st.bars_against >= params.bars_to_wait: + close(i, mid, "rsi_against") + else: + st.rsi_against = False + st.bars_against = 0 + if sig >= params.rsi_target_buy: + close(i, mid, "target") + elif st.side == "SELL": + if sig > params.rsi_overbought: + st.bars_against = st.bars_against + 1 if st.rsi_against else 1 + st.rsi_against = True + if st.bars_against >= params.bars_to_wait: + close(i, mid, "rsi_against") + else: + st.rsi_against = False + st.bars_against = 0 + if sig <= params.rsi_target_sell: + close(i, mid, "target") + else: + if two <= params.rsi_oversold and prev > params.rsi_oversold: + open_pos(i, "BUY", mid) + elif two >= params.rsi_overbought and prev < params.rsi_overbought: + open_pos(i, "SELL", mid) + + return run_single_position( + df, symbol, point, costs, params.lot_size, STRATEGY_ID, "M20", period_label, p, params.initial_balance, on_bar + ) + + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description=f"{STRATEGY_ID} Python backtest") + p.add_argument("--symbol", default="TSLA") + p.add_argument("--start", default="2021-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--balance", type=float, default=10_000.0) + return p.parse_args() + + +def main() -> None: + args = parse_args() + out_dir = Path(__file__).resolve().parent + params = make_params(args.balance) + if not mt5.initialize(): + raise SystemExit("MetaTrader5 initialize() failed") + try: + symbol = resolve_symbol(args.symbol) + start = datetime.fromisoformat(args.start) + end = datetime.fromisoformat(args.end) + period_label = f"{args.start}_{args.end}" + print(f"Loading {symbol} bars ...") + df = load_bars(symbol, mt5.TIMEFRAME_M20, start, end) + costs = CostModel.for_symbol(symbol) + report = run_backtest(df, symbol, params, costs, period_label) + save_reports(report, out_dir) + print(f"Net: ${report.net_profit:,.2f} | Trades: {report.total_trades} | WR: {report.win_rate:.1f}% | PF: {report.profit_factor:.2f}") + print(f"Saved to {out_dir}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/frontline/units/RSI_secret_sauce_XAUUSD/run_backtest.py b/frontline/units/RSI_secret_sauce_XAUUSD/run_backtest.py new file mode 100644 index 0000000..5d8cd13 --- /dev/null +++ b/frontline/units/RSI_secret_sauce_XAUUSD/run_backtest.py @@ -0,0 +1,371 @@ +""" +RSI_secret_sauce_XAUUSD — bar backtest mirroring main.mq5 inputs. + +Outputs in this folder: + backtest_report.json, trades.csv, report.png, + equity_curve.png, drawdown.png, monthly_returns.png, + pnl_distribution.png, exit_reasons.png + +Usage: + python run_backtest.py + python run_backtest.py --start 2021-01-01 --end 2026-01-01 +""" + +from __future__ import annotations + +import argparse +import json +import sys +from dataclasses import asdict, dataclass +from datetime import datetime +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) + +from cluster_audit.backtest_core import ( # noqa: E402 + BacktestReport, + CostModel, + Trade, + build_report, + calc_profit, + fill_price, + load_bars, + resolve_symbol, +) +from indicator_utils import calculate_adx, calculate_atr, calculate_dmi, calculate_ema, calculate_rsi # noqa: E402 + +STRATEGY_ID = "RSI_secret_sauce_XAUUSD" + + +@dataclass +class SimState: + side: str | None = None + entry: float = 0.0 + entry_i: int = 0 + entry_time: object = None + sl: float = 0.0 + tp: float = 0.0 + bars_against: int = 0 + rsi_against: bool = False + + +def run_single_position( + df: pd.DataFrame, + symbol: str, + point: float, + costs: CostModel, + lot: float, + tf_label: str, + period_label: str, + params: dict, + initial_balance: float, + on_bar, +) -> BacktestReport: + trades: list[Trade] = [] + equity = [initial_balance] + st = SimState() + + def close(i: int, mid: float, reason: str) -> None: + nonlocal st + if st.side is None: + return + exit_px = fill_price(mid, point, costs, st.side, entry=False) + commission = costs.commission_per_lot * lot * 2.0 + profit = calc_profit(symbol, st.side, lot, st.entry, exit_px) - commission + trades.append( + Trade( + side=st.side, + open_time=st.entry_time, + close_time=df.index[i], + open_price=st.entry, + close_price=exit_px, + volume=lot, + profit=profit, + bars_held=i - st.entry_i, + exit_reason=reason, + ) + ) + equity.append(equity[-1] + profit) + st = SimState() + + def open_pos(i: int, side: str, mid: float) -> None: + nonlocal st + st.side = side + st.entry = fill_price(mid, point, costs, side, entry=True) + st.entry_i = i + st.entry_time = df.index[i] + + for i in range(1, len(df)): + on_bar(i, st, open_pos, close) + if len(equity) == len(trades) + 1: + equity.append(equity[-1]) + + if st.side is not None: + close(len(df) - 1, float(df["close"].iloc[-1]), "eod") + + eq = pd.Series(equity[: len(df)], index=df.index[: len(equity)]) + return build_report(STRATEGY_ID, symbol, tf_label, period_label, trades, eq, initial_balance, params) + + +def save_reports(report: BacktestReport, out_dir: Path) -> None: + rows = [ + { + "side": t.side, + "open_time": t.open_time, + "close_time": t.close_time, + "open_price": t.open_price, + "close_price": t.close_price, + "volume": t.volume, + "profit": t.profit, + "bars_held": t.bars_held, + "exit_reason": t.exit_reason, + } + for t in report.trades_list + ] + pd.DataFrame(rows).to_csv(out_dir / "trades.csv", index=False) + with open(out_dir / "backtest_report.json", "w", encoding="utf-8") as f: + json.dump(report.to_dict(), f, indent=2, ensure_ascii=False) + + trades = report.trades_list + if not trades: + fig, ax = plt.subplots(figsize=(10, 4)) + ax.text(0.5, 0.5, "No trades in backtest window", ha="center", va="center", fontsize=14) + ax.axis("off") + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + return + + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df = df.sort_values("close_time") + bal0 = report.params.get("initial_balance", 10_000.0) + equity = bal0 + df["profit"].cumsum() + + fig = plt.figure(figsize=(14, 10)) + gs = fig.add_gridspec(3, 2, height_ratios=[2, 1.2, 1.2]) + ax1 = fig.add_subplot(gs[0, :]) + ax1.plot(df["close_time"], equity, lw=1.8) + ax1.axhline(bal0, color="gray", ls="--") + ax1.set_title("Equity Curve") + ax1.grid(alpha=0.3) + ax2 = fig.add_subplot(gs[1, 0]) + dd = (equity - equity.cummax()) / equity.cummax() * 100 + ax2.fill_between(df["close_time"], dd, 0, color="#d62728", alpha=0.35) + ax2.set_title("Drawdown %") + ax2.grid(alpha=0.3) + ax3 = fig.add_subplot(gs[1, 1]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + ax3.bar(range(len(monthly)), monthly.values, color=["#2ca02c" if v >= 0 else "#d62728" for v in monthly]) + ax3.set_title("Monthly PnL") + ax3.axhline(0, color="black", lw=0.6) + ax4 = fig.add_subplot(gs[2, 0]) + ax4.hist(df["profit"], bins=30, color="#9467bd", alpha=0.85) + ax4.axvline(0, color="black") + ax4.set_title("Trade PnL Distribution") + ax5 = fig.add_subplot(gs[2, 1]) + rc = df["exit_reason"].value_counts() + ax5.bar(rc.index.astype(str), rc.values, color="#ff7f0e") + ax5.set_title("Exit Reasons") + fig.suptitle( + f"{STRATEGY_ID} — Net ${report.net_profit:,.2f} | Trades {report.total_trades} | " + f"WR {report.win_rate:.1f}% | PF {report.profit_factor:.2f} | MaxDD {report.max_drawdown_pct:.2f}%", + fontsize=11, + ) + fig.tight_layout(rect=[0, 0, 1, 0.96]) + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + + plt.figure(figsize=(12, 5)) + plt.plot(df["close_time"], equity, lw=2) + plt.title("Equity Curve") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "equity_curve.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.fill_between(df["close_time"], dd, 0, color="red", alpha=0.3) + plt.plot(df["close_time"], dd, color="darkred") + plt.title("Drawdown %") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "drawdown.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.bar(range(len(monthly)), monthly.values, color=["green" if v >= 0 else "red" for v in monthly], alpha=0.75) + plt.title("Monthly PnL") + plt.axhline(0, color="black") + plt.grid(alpha=0.3, axis="y") + plt.tight_layout() + plt.savefig(out_dir / "monthly_returns.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(10, 5)) + plt.hist(df["profit"], bins=40, color="#6a5acd", alpha=0.85) + plt.axvline(0, color="black") + plt.title("Per-Trade PnL Distribution") + plt.tight_layout() + plt.savefig(out_dir / "pnl_distribution.png", dpi=200, bbox_inches="tight") + plt.close() + + if report.exit_reason_breakdown: + labels = list(report.exit_reason_breakdown.keys()) + counts = [report.exit_reason_breakdown[k]["count"] for k in labels] + plt.figure(figsize=(8, 5)) + plt.bar(labels, counts, color="#e377c2") + plt.title("Exit Reason Counts") + plt.tight_layout() + plt.savefig(out_dir / "exit_reasons.png", dpi=200, bbox_inches="tight") + plt.close() + + + +@dataclass +class StrategyParams: + rsi_period: int = 16 + rsi_overbought: float = 73.0 + rsi_oversold: float = 42.5 + rsi_lookback: int = 60 + peak_bars: int = 2 + stop_loss_atr: float = 2.0 + take_profit_atr: float = 4.0 + atr_period: int = 14 + min_bars_between_trades: int = 7 + lot_size: float = 0.1 + initial_balance: float = 10_000.0 + + def to_dict(self) -> dict: + return asdict(self) + + +def make_params(balance: float) -> StrategyParams: + return StrategyParams(initial_balance=balance) + + +def _is_rsi_peak(rsi: np.ndarray, i: int, peak_bars: int) -> bool: + cur = float(rsi[i - 1]) + if cur != cur: + return False + if float(rsi[i - 2]) >= cur: + return False + for j in range(2, peak_bars + 2): + if i - j < 0 or float(rsi[i - j]) >= cur: + return False + return True + + +def _is_rsi_bottom(rsi: np.ndarray, i: int, peak_bars: int) -> bool: + cur = float(rsi[i - 1]) + if cur != cur: + return False + if float(rsi[i - 2]) <= cur: + return False + for j in range(2, peak_bars + 2): + if i - j < 0 or float(rsi[i - j]) <= cur: + return False + return True + + +def run_backtest(df, symbol, params: StrategyParams, costs, period_label): + info = mt5.symbol_info(symbol) + point = float(info.point) if info else 0.01 + rsi = calculate_rsi(df["close"], params.rsi_period).to_numpy() + atr = calculate_atr(df, params.atr_period).to_numpy() + last_trade_i = -999 + was_ob = was_os = back_in_range = False + p = params.to_dict() + warmup = max(params.rsi_lookback, params.rsi_period) + 5 + + def on_bar(i, st, open_pos, close): + nonlocal last_trade_i, was_ob, was_os, back_in_range + if i < warmup or np.isnan(rsi[i - 1]) or np.isnan(atr[i - 1]): + return + mid = float(df["open"].iloc[i]) + cur, prev = float(rsi[i - 1]), float(rsi[i - 2]) + a = float(atr[i - 1]) + + if st.side: + if st.side == "BUY": + sl = st.entry - params.stop_loss_atr * a + tp = st.entry + params.take_profit_atr * a + if float(df["low"].iloc[i]) <= sl: + close(i, sl, "sl") + elif float(df["high"].iloc[i]) >= tp: + close(i, tp, "tp") + else: + sl = st.entry + params.stop_loss_atr * a + tp = st.entry - params.take_profit_atr * a + if float(df["high"].iloc[i]) >= sl: + close(i, sl, "sl") + elif float(df["low"].iloc[i]) <= tp: + close(i, tp, "tp") + return + + if prev >= params.rsi_overbought and cur < params.rsi_overbought: + was_ob, back_in_range = True, True + if prev <= params.rsi_oversold and cur > params.rsi_oversold: + was_os, back_in_range = True, True + if cur >= params.rsi_overbought: + was_ob = back_in_range = False + if cur <= params.rsi_oversold: + was_os = back_in_range = False + + if i - last_trade_i < params.min_bars_between_trades: + return + + if was_ob and back_in_range and cur < params.rsi_overbought and _is_rsi_peak(rsi, i, params.peak_bars): + open_pos(i, "BUY", mid) + last_trade_i = i + was_ob = back_in_range = False + elif was_os and back_in_range and cur > params.rsi_oversold and _is_rsi_bottom(rsi, i, params.peak_bars): + open_pos(i, "SELL", mid) + last_trade_i = i + was_os = back_in_range = False + + return run_single_position(df, symbol, point, costs, params.lot_size, "M30", period_label, p, params.initial_balance, on_bar) + + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description=f"{STRATEGY_ID} Python backtest") + p.add_argument("--symbol", default="XAUUSD") + p.add_argument("--start", default="2021-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--balance", type=float, default=10_000.0) + return p.parse_args() + + +def main() -> None: + args = parse_args() + out_dir = Path(__file__).resolve().parent + params = make_params(args.balance) + if not mt5.initialize(): + raise SystemExit("MetaTrader5 initialize() failed") + try: + symbol = resolve_symbol(args.symbol) + start = datetime.fromisoformat(args.start) + end = datetime.fromisoformat(args.end) + period_label = f"{args.start}_{args.end}" + print(f"Loading {symbol} bars ...") + df = load_bars(symbol, mt5.TIMEFRAME_M30, start, end) + costs = CostModel.for_symbol(symbol) + report = run_backtest(df, symbol, params, costs, period_label) + save_reports(report, out_dir) + print(f"Net: ${report.net_profit:,.2f} | Trades: {report.total_trades} | WR: {report.win_rate:.1f}% | PF: {report.profit_factor:.2f}") + print(f"Saved to {out_dir}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/frontline/units/SimpleTrendlineBTCUSD/run_backtest.py b/frontline/units/SimpleTrendlineBTCUSD/run_backtest.py new file mode 100644 index 0000000..decb94a --- /dev/null +++ b/frontline/units/SimpleTrendlineBTCUSD/run_backtest.py @@ -0,0 +1,352 @@ +""" +SimpleTrendlineBTCUSD — bar backtest mirroring main.mq5 inputs. + +Outputs in this folder: + backtest_report.json, trades.csv, report.png, + equity_curve.png, drawdown.png, monthly_returns.png, + pnl_distribution.png, exit_reasons.png + +Usage: + python run_backtest.py + python run_backtest.py --start 2021-01-01 --end 2026-01-01 +""" + +from __future__ import annotations + +import argparse +import json +import sys +from dataclasses import asdict, dataclass +from datetime import datetime +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) + +from cluster_audit.backtest_core import ( # noqa: E402 + BacktestReport, + CostModel, + Trade, + build_report, + calc_profit, + fill_price, + load_bars, + resolve_symbol, +) +from indicator_utils import calculate_adx, calculate_atr, calculate_dmi, calculate_ema, calculate_rsi # noqa: E402 + +STRATEGY_ID = "SimpleTrendlineBTCUSD" + + +@dataclass +class SimState: + side: str | None = None + entry: float = 0.0 + entry_i: int = 0 + entry_time: object = None + sl: float = 0.0 + tp: float = 0.0 + bars_against: int = 0 + rsi_against: bool = False + + +def run_single_position( + df: pd.DataFrame, + symbol: str, + point: float, + costs: CostModel, + lot: float, + tf_label: str, + period_label: str, + params: dict, + initial_balance: float, + on_bar, +) -> BacktestReport: + trades: list[Trade] = [] + equity = [initial_balance] + st = SimState() + + def close(i: int, mid: float, reason: str) -> None: + nonlocal st + if st.side is None: + return + exit_px = fill_price(mid, point, costs, st.side, entry=False) + commission = costs.commission_per_lot * lot * 2.0 + profit = calc_profit(symbol, st.side, lot, st.entry, exit_px) - commission + trades.append( + Trade( + side=st.side, + open_time=st.entry_time, + close_time=df.index[i], + open_price=st.entry, + close_price=exit_px, + volume=lot, + profit=profit, + bars_held=i - st.entry_i, + exit_reason=reason, + ) + ) + equity.append(equity[-1] + profit) + st = SimState() + + def open_pos(i: int, side: str, mid: float) -> None: + nonlocal st + st.side = side + st.entry = fill_price(mid, point, costs, side, entry=True) + st.entry_i = i + st.entry_time = df.index[i] + + for i in range(1, len(df)): + on_bar(i, st, open_pos, close) + if len(equity) == len(trades) + 1: + equity.append(equity[-1]) + + if st.side is not None: + close(len(df) - 1, float(df["close"].iloc[-1]), "eod") + + eq = pd.Series(equity[: len(df)], index=df.index[: len(equity)]) + return build_report(STRATEGY_ID, symbol, tf_label, period_label, trades, eq, initial_balance, params) + + +def save_reports(report: BacktestReport, out_dir: Path) -> None: + rows = [ + { + "side": t.side, + "open_time": t.open_time, + "close_time": t.close_time, + "open_price": t.open_price, + "close_price": t.close_price, + "volume": t.volume, + "profit": t.profit, + "bars_held": t.bars_held, + "exit_reason": t.exit_reason, + } + for t in report.trades_list + ] + pd.DataFrame(rows).to_csv(out_dir / "trades.csv", index=False) + with open(out_dir / "backtest_report.json", "w", encoding="utf-8") as f: + json.dump(report.to_dict(), f, indent=2, ensure_ascii=False) + + trades = report.trades_list + if not trades: + fig, ax = plt.subplots(figsize=(10, 4)) + ax.text(0.5, 0.5, "No trades in backtest window", ha="center", va="center", fontsize=14) + ax.axis("off") + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + return + + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df = df.sort_values("close_time") + bal0 = report.params.get("initial_balance", 10_000.0) + equity = bal0 + df["profit"].cumsum() + + fig = plt.figure(figsize=(14, 10)) + gs = fig.add_gridspec(3, 2, height_ratios=[2, 1.2, 1.2]) + ax1 = fig.add_subplot(gs[0, :]) + ax1.plot(df["close_time"], equity, lw=1.8) + ax1.axhline(bal0, color="gray", ls="--") + ax1.set_title("Equity Curve") + ax1.grid(alpha=0.3) + ax2 = fig.add_subplot(gs[1, 0]) + dd = (equity - equity.cummax()) / equity.cummax() * 100 + ax2.fill_between(df["close_time"], dd, 0, color="#d62728", alpha=0.35) + ax2.set_title("Drawdown %") + ax2.grid(alpha=0.3) + ax3 = fig.add_subplot(gs[1, 1]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + ax3.bar(range(len(monthly)), monthly.values, color=["#2ca02c" if v >= 0 else "#d62728" for v in monthly]) + ax3.set_title("Monthly PnL") + ax3.axhline(0, color="black", lw=0.6) + ax4 = fig.add_subplot(gs[2, 0]) + ax4.hist(df["profit"], bins=30, color="#9467bd", alpha=0.85) + ax4.axvline(0, color="black") + ax4.set_title("Trade PnL Distribution") + ax5 = fig.add_subplot(gs[2, 1]) + rc = df["exit_reason"].value_counts() + ax5.bar(rc.index.astype(str), rc.values, color="#ff7f0e") + ax5.set_title("Exit Reasons") + fig.suptitle( + f"{STRATEGY_ID} — Net ${report.net_profit:,.2f} | Trades {report.total_trades} | " + f"WR {report.win_rate:.1f}% | PF {report.profit_factor:.2f} | MaxDD {report.max_drawdown_pct:.2f}%", + fontsize=11, + ) + fig.tight_layout(rect=[0, 0, 1, 0.96]) + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + + plt.figure(figsize=(12, 5)) + plt.plot(df["close_time"], equity, lw=2) + plt.title("Equity Curve") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "equity_curve.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.fill_between(df["close_time"], dd, 0, color="red", alpha=0.3) + plt.plot(df["close_time"], dd, color="darkred") + plt.title("Drawdown %") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "drawdown.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.bar(range(len(monthly)), monthly.values, color=["green" if v >= 0 else "red" for v in monthly], alpha=0.75) + plt.title("Monthly PnL") + plt.axhline(0, color="black") + plt.grid(alpha=0.3, axis="y") + plt.tight_layout() + plt.savefig(out_dir / "monthly_returns.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(10, 5)) + plt.hist(df["profit"], bins=40, color="#6a5acd", alpha=0.85) + plt.axvline(0, color="black") + plt.title("Per-Trade PnL Distribution") + plt.tight_layout() + plt.savefig(out_dir / "pnl_distribution.png", dpi=200, bbox_inches="tight") + plt.close() + + if report.exit_reason_breakdown: + labels = list(report.exit_reason_breakdown.keys()) + counts = [report.exit_reason_breakdown[k]["count"] for k in labels] + plt.figure(figsize=(8, 5)) + plt.bar(labels, counts, color="#e377c2") + plt.title("Exit Reason Counts") + plt.tight_layout() + plt.savefig(out_dir / "exit_reasons.png", dpi=200, bbox_inches="tight") + plt.close() + + + +@dataclass +class StrategyParams: + ma_period: int = 150 + touch_tolerance_pts: float = 170 + break_buffer_pts: float = 90 + lot_size: float = 0.10 + initial_balance: float = 10_000.0 + + def to_dict(self) -> dict: + return asdict(self) + + +def make_params(balance: float) -> StrategyParams: + return StrategyParams(initial_balance=balance) + + + +def run_backtest(df, symbol, params: StrategyParams, costs, period_label): + info = mt5.symbol_info(symbol) + point = float(info.point) if info else 0.01 + hdf = df.resample("4h").agg({"open": "first", "high": "max", "low": "min", "close": "last"}).dropna() + ma = calculate_ema(hdf["close"], params.ma_period).to_numpy() + htimes = hdf.index.to_numpy() + hcloses = hdf["close"].to_numpy() + touch_tol = params.touch_tolerance_pts * point + break_buf = params.break_buffer_pts * point + p = params.to_dict() + + def on_bar(i, st, open_pos, close): + if i < 5: + return + ts = df.index[i] + hidx = int(np.searchsorted(htimes, ts, side="right")) - 1 + if hidx < params.ma_period + 5: + return + crosses_t, crosses_p = [], [] + for j in range(hidx, params.ma_period + 2, -1): + if j >= len(ma) - 1: + continue + d0, d1 = hcloses[j] - ma[j], hcloses[j + 1] - ma[j + 1] + if d0 == 0 or d1 == 0 or d0 * d1 < 0: + crosses_t.append(htimes[j]) + crosses_p.append(hcloses[j]) + if len(crosses_t) >= 3: + break + if len(crosses_t) < 3: + return + t0 = crosses_t[2] + + def _secs(delta) -> float: + if hasattr(delta, "total_seconds"): + return float(delta.total_seconds()) + return float(delta.astype("timedelta64[s]").astype(float)) + + xs = np.array([_secs(t - t0) for t in crosses_t[::-1]]) + ys = np.array(crosses_p[::-1]) + den = 3 * np.sum(xs ** 2) - np.sum(xs) ** 2 + if abs(den) < 1e-10: + return + a = (3 * np.sum(xs * ys) - np.sum(xs) * np.sum(ys)) / den + b = (np.sum(ys) - a * np.sum(xs)) / 3 + t1, t2 = df.index[i - 1], df.index[i - 2] + line1 = a * _secs(t1 - t0) + b + line2 = a * _secs(t2 - t0) + b + mid = float(df["open"].iloc[i]) + hi = float(df["high"].iloc[i - 1]) + lo = float(df["low"].iloc[i - 1]) + cl1 = float(df["close"].iloc[i - 1]) + op1 = float(df["open"].iloc[i - 1]) + cl2 = float(df["close"].iloc[i - 2]) + if st.side == "BUY" and cl1 < line1 - break_buf: + close(i, mid, "break") + return + if st.side == "SELL" and cl1 > line1 + break_buf: + close(i, mid, "break") + return + if st.side: + return + if a > 0 and lo <= line1 + touch_tol and cl1 > line1 and cl1 > op1 and cl2 >= line2 - touch_tol: + open_pos(i, "BUY", mid) + elif a < 0 and hi >= line1 - touch_tol and cl1 < line1 and cl1 < op1 and cl2 <= line2 + touch_tol: + open_pos(i, "SELL", mid) + + return run_single_position(df, symbol, point, costs, params.lot_size, "H1", period_label, p, params.initial_balance, on_bar) + + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description=f"{STRATEGY_ID} Python backtest") + p.add_argument("--symbol", default="BTCUSD") + p.add_argument("--start", default="2021-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--balance", type=float, default=10_000.0) + return p.parse_args() + + +def main() -> None: + args = parse_args() + out_dir = Path(__file__).resolve().parent + params = make_params(args.balance) + if not mt5.initialize(): + raise SystemExit("MetaTrader5 initialize() failed") + try: + symbol = resolve_symbol(args.symbol) + start = datetime.fromisoformat(args.start) + end = datetime.fromisoformat(args.end) + period_label = f"{args.start}_{args.end}" + print(f"Loading {symbol} bars ...") + df = load_bars(symbol, mt5.TIMEFRAME_H1, start, end) + costs = CostModel.for_symbol(symbol) + report = run_backtest(df, symbol, params, costs, period_label) + save_reports(report, out_dir) + print(f"Net: ${report.net_profit:,.2f} | Trades: {report.total_trades} | WR: {report.win_rate:.1f}% | PF: {report.profit_factor:.2f}") + print(f"Saved to {out_dir}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/frontline/units/USDJPYBuster/USDJPYBuster.mq5 b/frontline/units/USDJPYBuster/USDJPYBuster.mq5 new file mode 100644 index 0000000..f861ea2 --- /dev/null +++ b/frontline/units/USDJPYBuster/USDJPYBuster.mq5 @@ -0,0 +1,80 @@ +//+------------------------------------------------------------------+ +//| USDJPYBuster.mq5 | +//| Standalone wrapper — logic in Strategies/USDJPYBusterStrategy.mqh | +//+------------------------------------------------------------------+ +#property copyright "Lab" +#property link "" +#property version "1.02" +#property description "USDJPY Asian range breakout (Ian style). See cluster Strategies/USDJPYBusterStrategy.mqh." + +#include +#include "../../cluster-latest/Strategies/USDJPYBusterStrategy.mqh" + +input group "=== Symbol ===" +input string InpSymbol = "USDJPY"; + +input group "=== Range session (broker server time) ===" +input int InpRangeStartHour = 3; +input int InpRangeEndHour = 6; +input int InpCloseHour = 18; +input ENUM_TIMEFRAMES InpRangeTF = PERIOD_M1; +input int InpMinRangePoints = 5; +input double InpOrderBufferPoints = 1.0; + +input group "=== Breakout orders ===" +input bool InpFirstTradeOnly = false; +input bool InpAllowLong = true; +input bool InpAllowShort = true; +input bool InpUseTakeProfit = false; +input double InpTakeProfitPoints = 0.0; + +input group "=== Risk ===" +input ENUM_UB_RISK_MODE InpRiskMode = UB_RISK_FIXED_MONEY; +input double InpFixedRiskMoney = 650.0; +input double InpRiskPercent = 2.1; +input double InpFixedLots = 0.01; +input int InpMagic = 927002; +input int InpSlippagePoints = 20; +input int InpMaxSpreadPoints = 5; + +input group "=== Debug ===" +input bool InpDrawRange = false; +input bool InpDebugLog = false; + +USDJPYBusterData g_ub; + +string WorkSymbol() +{ + string s = InpSymbol; + StringTrimLeft(s); + StringTrimRight(s); + const int bar = StringFind(s, "|"); + if(bar >= 0) + s = StringSubstr(s, 0, bar); + StringTrimRight(s); + return (StringLen(s) > 0 ? s : _Symbol); +} + +int OnInit() +{ + return InitUSDJPYBuster(g_ub, WorkSymbol(), + InpRangeStartHour, InpRangeEndHour, InpCloseHour, InpRangeTF, + InpMinRangePoints, InpOrderBufferPoints, + InpFirstTradeOnly, InpAllowLong, InpAllowShort, + InpUseTakeProfit, InpTakeProfitPoints, + InpRiskMode, InpFixedRiskMoney, InpRiskPercent, InpFixedLots, + InpMagic, InpSlippagePoints, InpMaxSpreadPoints, + InpDrawRange, InpDebugLog) ? INIT_SUCCEEDED : INIT_FAILED; +} + +void OnDeinit(const int reason) +{ + DeinitUSDJPYBuster(g_ub); +} + +void OnTick() +{ + ProcessUSDJPYBuster(g_ub, InpFixedLots, 1.0); +} + +//+------------------------------------------------------------------+ diff --git a/frontline/units/USDJPYBuster/run_backtest.py b/frontline/units/USDJPYBuster/run_backtest.py new file mode 100644 index 0000000..8bdac20 --- /dev/null +++ b/frontline/units/USDJPYBuster/run_backtest.py @@ -0,0 +1,340 @@ +""" +USDJPYBuster — bar backtest mirroring main.mq5 inputs. + +Outputs in this folder: + backtest_report.json, trades.csv, report.png, + equity_curve.png, drawdown.png, monthly_returns.png, + pnl_distribution.png, exit_reasons.png + +Usage: + python run_backtest.py + python run_backtest.py --start 2021-01-01 --end 2026-01-01 +""" + +from __future__ import annotations + +import argparse +import json +import sys +from dataclasses import asdict, dataclass +from datetime import datetime +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) + +from cluster_audit.backtest_core import ( # noqa: E402 + BacktestReport, + CostModel, + Trade, + build_report, + calc_profit, + fill_price, + load_bars, + resolve_symbol, +) +from indicator_utils import calculate_adx, calculate_atr, calculate_dmi, calculate_ema, calculate_rsi # noqa: E402 + +STRATEGY_ID = "USDJPYBuster" + + +@dataclass +class SimState: + side: str | None = None + entry: float = 0.0 + entry_i: int = 0 + entry_time: object = None + sl: float = 0.0 + tp: float = 0.0 + bars_against: int = 0 + rsi_against: bool = False + + +def run_single_position( + df: pd.DataFrame, + symbol: str, + point: float, + costs: CostModel, + lot: float, + tf_label: str, + period_label: str, + params: dict, + initial_balance: float, + on_bar, +) -> BacktestReport: + trades: list[Trade] = [] + equity = [initial_balance] + st = SimState() + + def close(i: int, mid: float, reason: str) -> None: + nonlocal st + if st.side is None: + return + exit_px = fill_price(mid, point, costs, st.side, entry=False) + commission = costs.commission_per_lot * lot * 2.0 + profit = calc_profit(symbol, st.side, lot, st.entry, exit_px) - commission + trades.append( + Trade( + side=st.side, + open_time=st.entry_time, + close_time=df.index[i], + open_price=st.entry, + close_price=exit_px, + volume=lot, + profit=profit, + bars_held=i - st.entry_i, + exit_reason=reason, + ) + ) + equity.append(equity[-1] + profit) + st = SimState() + + def open_pos(i: int, side: str, mid: float) -> None: + nonlocal st + st.side = side + st.entry = fill_price(mid, point, costs, side, entry=True) + st.entry_i = i + st.entry_time = df.index[i] + + for i in range(1, len(df)): + on_bar(i, st, open_pos, close) + if len(equity) == len(trades) + 1: + equity.append(equity[-1]) + + if st.side is not None: + close(len(df) - 1, float(df["close"].iloc[-1]), "eod") + + eq = pd.Series(equity[: len(df)], index=df.index[: len(equity)]) + return build_report(STRATEGY_ID, symbol, tf_label, period_label, trades, eq, initial_balance, params) + + +def save_reports(report: BacktestReport, out_dir: Path) -> None: + rows = [ + { + "side": t.side, + "open_time": t.open_time, + "close_time": t.close_time, + "open_price": t.open_price, + "close_price": t.close_price, + "volume": t.volume, + "profit": t.profit, + "bars_held": t.bars_held, + "exit_reason": t.exit_reason, + } + for t in report.trades_list + ] + pd.DataFrame(rows).to_csv(out_dir / "trades.csv", index=False) + with open(out_dir / "backtest_report.json", "w", encoding="utf-8") as f: + json.dump(report.to_dict(), f, indent=2, ensure_ascii=False) + + trades = report.trades_list + if not trades: + fig, ax = plt.subplots(figsize=(10, 4)) + ax.text(0.5, 0.5, "No trades in backtest window", ha="center", va="center", fontsize=14) + ax.axis("off") + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + return + + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df = df.sort_values("close_time") + bal0 = report.params.get("initial_balance", 10_000.0) + equity = bal0 + df["profit"].cumsum() + + fig = plt.figure(figsize=(14, 10)) + gs = fig.add_gridspec(3, 2, height_ratios=[2, 1.2, 1.2]) + ax1 = fig.add_subplot(gs[0, :]) + ax1.plot(df["close_time"], equity, lw=1.8) + ax1.axhline(bal0, color="gray", ls="--") + ax1.set_title("Equity Curve") + ax1.grid(alpha=0.3) + ax2 = fig.add_subplot(gs[1, 0]) + dd = (equity - equity.cummax()) / equity.cummax() * 100 + ax2.fill_between(df["close_time"], dd, 0, color="#d62728", alpha=0.35) + ax2.set_title("Drawdown %") + ax2.grid(alpha=0.3) + ax3 = fig.add_subplot(gs[1, 1]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + ax3.bar(range(len(monthly)), monthly.values, color=["#2ca02c" if v >= 0 else "#d62728" for v in monthly]) + ax3.set_title("Monthly PnL") + ax3.axhline(0, color="black", lw=0.6) + ax4 = fig.add_subplot(gs[2, 0]) + ax4.hist(df["profit"], bins=30, color="#9467bd", alpha=0.85) + ax4.axvline(0, color="black") + ax4.set_title("Trade PnL Distribution") + ax5 = fig.add_subplot(gs[2, 1]) + rc = df["exit_reason"].value_counts() + ax5.bar(rc.index.astype(str), rc.values, color="#ff7f0e") + ax5.set_title("Exit Reasons") + fig.suptitle( + f"{STRATEGY_ID} — Net ${report.net_profit:,.2f} | Trades {report.total_trades} | " + f"WR {report.win_rate:.1f}% | PF {report.profit_factor:.2f} | MaxDD {report.max_drawdown_pct:.2f}%", + fontsize=11, + ) + fig.tight_layout(rect=[0, 0, 1, 0.96]) + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + + plt.figure(figsize=(12, 5)) + plt.plot(df["close_time"], equity, lw=2) + plt.title("Equity Curve") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "equity_curve.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.fill_between(df["close_time"], dd, 0, color="red", alpha=0.3) + plt.plot(df["close_time"], dd, color="darkred") + plt.title("Drawdown %") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "drawdown.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.bar(range(len(monthly)), monthly.values, color=["green" if v >= 0 else "red" for v in monthly], alpha=0.75) + plt.title("Monthly PnL") + plt.axhline(0, color="black") + plt.grid(alpha=0.3, axis="y") + plt.tight_layout() + plt.savefig(out_dir / "monthly_returns.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(10, 5)) + plt.hist(df["profit"], bins=40, color="#6a5acd", alpha=0.85) + plt.axvline(0, color="black") + plt.title("Per-Trade PnL Distribution") + plt.tight_layout() + plt.savefig(out_dir / "pnl_distribution.png", dpi=200, bbox_inches="tight") + plt.close() + + if report.exit_reason_breakdown: + labels = list(report.exit_reason_breakdown.keys()) + counts = [report.exit_reason_breakdown[k]["count"] for k in labels] + plt.figure(figsize=(8, 5)) + plt.bar(labels, counts, color="#e377c2") + plt.title("Exit Reason Counts") + plt.tight_layout() + plt.savefig(out_dir / "exit_reasons.png", dpi=200, bbox_inches="tight") + plt.close() + + + +@dataclass +class StrategyParams: + range_start_hour: int = 3 + range_end_hour: int = 6 + close_hour: int = 18 + min_range_pts: float = 5 + order_buffer_pts: float = 1.0 + first_trade_only: bool = False + allow_long: bool = True + allow_short: bool = True + lot_size: float = 0.01 + initial_balance: float = 10_000.0 + + def to_dict(self) -> dict: + return asdict(self) + + +def make_params(balance: float) -> StrategyParams: + return StrategyParams(initial_balance=balance) + + + +def run_backtest(df, symbol, params: StrategyParams, costs, period_label): + info = mt5.symbol_info(symbol) + point = float(info.point) if info else 0.001 + buf = params.order_buffer_pts * point + day_state: dict = {} + p = params.to_dict() + + def on_bar(i, st, open_pos, close): + ts = df.index[i] + dk = ts.date().isoformat() + h = ts.hour + mid = float(df["open"].iloc[i]) + if st.side and h >= params.close_hour: + close(i, mid, "eod") + return + if dk not in day_state: + day_state[dk] = {"hi": -np.inf, "lo": np.inf, "built": False, "trades": 0, "range_done": False} + ds = day_state[dk] + if params.range_start_hour <= h < params.range_end_hour: + ds["hi"] = max(ds["hi"], float(df["high"].iloc[i])) + ds["lo"] = min(ds["lo"], float(df["low"].iloc[i])) + return + if not ds["range_done"] and h >= params.range_end_hour: + ds["range_done"] = True + if ds["hi"] > ds["lo"] and (ds["hi"] - ds["lo"]) / point >= params.min_range_pts: + ds["built"] = True + if not ds["built"] or st.side: + return + max_tr = 1 if params.first_trade_only else 2 + if ds["trades"] >= max_tr: + return + hi_lvl = ds["hi"] + buf + lo_lvl = ds["lo"] - buf + bar_hi = float(df["high"].iloc[i]) + bar_lo = float(df["low"].iloc[i]) + if params.allow_long and bar_hi >= hi_lvl: + open_pos(i, "BUY", mid) + st.sl = ds["lo"] + ds["trades"] += 1 + elif params.allow_short and bar_lo <= lo_lvl: + open_pos(i, "SELL", mid) + st.sl = ds["hi"] + ds["trades"] += 1 + if st.side: + if st.side == "BUY" and bar_lo <= st.sl: + close(i, st.sl, "sl") + elif st.side == "SELL" and bar_hi >= st.sl: + close(i, st.sl, "sl") + + return run_single_position(df, symbol, point, costs, params.lot_size, "M1", period_label, p, params.initial_balance, on_bar) + + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description=f"{STRATEGY_ID} Python backtest") + p.add_argument("--symbol", default="USDJPY") + p.add_argument("--start", default="2021-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--balance", type=float, default=10_000.0) + return p.parse_args() + + +def main() -> None: + args = parse_args() + out_dir = Path(__file__).resolve().parent + params = make_params(args.balance) + if not mt5.initialize(): + raise SystemExit("MetaTrader5 initialize() failed") + try: + symbol = resolve_symbol(args.symbol) + start = datetime.fromisoformat(args.start) + end = datetime.fromisoformat(args.end) + period_label = f"{args.start}_{args.end}" + print(f"Loading {symbol} bars ...") + df = load_bars(symbol, mt5.TIMEFRAME_M1, start, end) + costs = CostModel.for_symbol(symbol) + report = run_backtest(df, symbol, params, costs, period_label) + save_reports(report, out_dir) + print(f"Net: ${report.net_profit:,.2f} | Trades: {report.total_trades} | WR: {report.win_rate:.1f}% | PF: {report.profit_factor:.2f}") + print(f"Saved to {out_dir}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/frontline/units/_optimize_units.py b/frontline/units/_optimize_units.py new file mode 100644 index 0000000..899e157 --- /dev/null +++ b/frontline/units/_optimize_units.py @@ -0,0 +1,150 @@ +"""Constrained param search — trades must stay >= baseline. Run once then delete.""" +from __future__ import annotations + +import importlib.util +import json +import random +import sys +from dataclasses import fields, replace +from datetime import datetime +from pathlib import Path + +import MetaTrader5 as mt5 + +ROOT = Path(__file__).resolve().parents[2] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) +from cluster_audit.backtest_core import CostModel, load_bars, resolve_symbol # noqa: E402 + +UNITS = Path(__file__).resolve().parent +TRIALS = 250 +START, END = "2021-01-01", "2026-01-01" + +SEARCH: dict[str, dict] = { + "RSIReversalAsianAUDUSD": { + "symbol": "AUDUSD", "tf": mt5.TIMEFRAME_M15, "min_trades": 351, + "ranges": {"rsi_period": (20, 40, 2), "overbought_level": (60, 85, 5), + "oversold_level": (15, 45, 5), "rsi_exit_level": (40, 58, 3)}, + }, + "RSIReversalAsianGBPUSD": { + "symbol": "GBPUSD", "tf": mt5.TIMEFRAME_M15, "min_trades": 326, + "ranges": {"rsi_period": (24, 40, 2), "overbought_level": (70, 90, 5), + "oversold_level": (20, 45, 5), "rsi_exit_level": (38, 55, 3)}, + }, + "RSIReversalAsianEURUSD": { + "symbol": "EURUSD", "tf": mt5.TIMEFRAME_M15, "min_trades": 506, + "ranges": {"rsi_period": (20, 40, 2), "overbought_level": (55, 75, 5), + "oversold_level": (5, 25, 3), "rsi_exit_level": (45, 60, 5)}, + }, + "RSIScalpingBTCUSD": { + "symbol": "BTCUSD", "tf": mt5.TIMEFRAME_H1, "min_trades": 437, + "ranges": {"rsi_period": (8, 20, 2), "rsi_overbought": (45, 75, 5), + "rsi_oversold": (20, 45, 3), "rsi_target_buy": (55, 85, 5), + "rsi_target_sell": (30, 55, 5), "bars_to_wait": (3, 10, 1)}, + }, + "RSIScalpingAPPL": { + "symbol": "AAPL", "tf": mt5.TIMEFRAME_M10, "min_trades": 458, + "ranges": {"rsi_period": (10, 22, 2), "rsi_overbought": (75, 95, 5), + "rsi_oversold": (20, 45, 3), "rsi_target_buy": (80, 98, 4), + "rsi_target_sell": (20, 50, 4), "bars_to_wait": (4, 12, 1)}, + }, + "RSIScalpingMU": { + "symbol": "MU", "tf": mt5.TIMEFRAME_M20, "min_trades": 307, + "ranges": {"rsi_period": (14, 26, 2), "rsi_overbought": (40, 70, 4), + "rsi_oversold": (20, 45, 3), "rsi_target_buy": (75, 98, 4), + "rsi_target_sell": (40, 70, 4), "bars_to_wait": (4, 12, 1)}, + }, + "EMASlopeDistanceCocktailXAUUSD": { + "symbol": "XAUUSD", "tf": mt5.TIMEFRAME_H1, "min_trades": 75, + "ranges": {"ema_period": (60, 100, 5), "price_threshold_pips": (250, 450, 25), + "slope_threshold_pips": (15, 35, 2.5), "max_loss_atr": (1.2, 2.5, 0.2), + "profit_check_bars": (24, 60, 6)}, + }, + "RSICrossOverReversalXAUUSD": { + "symbol": "XAUUSD", "tf": mt5.TIMEFRAME_M12, "min_trades": 17, + "ranges": {"overbought_level": (80, 95, 5), "oversold_level": (15, 35, 5), + "ema_distance_threshold": (80, 400, 25), "trailing_stop_pts": (200, 400, 25)}, + }, + "RSI_secret_sauce_XAUUSD": { + "symbol": "XAUUSD", "tf": mt5.TIMEFRAME_M30, "min_trades": 834, + "ranges": {"rsi_overbought": (68, 85, 2.5), "rsi_oversold": (30, 50, 2.5), + "stop_loss_atr": (2.0, 3.5, 0.25), "take_profit_atr": (4.0, 6.5, 0.5)}, + }, +} + + +def _load_module(folder: Path): + import runpy + return runpy.run_path(str(folder / "run_backtest.py")) + + +def _sample(ranges: dict) -> dict: + out = {} + for k, (lo, hi, step) in ranges.items(): + n = int((hi - lo) / step) + out[k] = lo + random.randint(0, max(0, n)) * step + return out + + +def _patch_params_file(folder: Path, updates: dict) -> None: + text = (folder / "run_backtest.py").read_text(encoding="utf-8") + for k, v in updates.items(): + if isinstance(v, bool): + rep = "True" if v else "False" + elif isinstance(v, int): + rep = str(v) + else: + rep = str(float(v)) if isinstance(v, float) else repr(v) + import re + text, n = re.subn(rf"^(\s*{k}: .* = ).*$", rf"\g<1>{rep}", text, count=1, flags=re.M) + if n == 0: + print(f" warn: could not patch {k}") + (folder / "run_backtest.py").write_text(text, encoding="utf-8") + + +def optimize_folder(name: str, cfg: dict) -> None: + folder = UNITS / name + mod = _load_module(folder) + make_params = mod["make_params"] + run_backtest = mod["run_backtest"] + sym = resolve_symbol(cfg["symbol"]) + start, end = datetime.fromisoformat(START), datetime.fromisoformat(END) + df = load_bars(sym, cfg["tf"], start, end) + costs = CostModel.for_symbol(sym) + period = f"{START}_{END}" + base_p = make_params(10_000.0) + base_r = run_backtest(df, sym, base_p, costs, period) + min_trades = cfg.get("min_trades", base_r.total_trades) + best_p, best_r = base_p, base_r + print(f"\n{name}: baseline net={base_r.net_profit:.2f} trades={base_r.total_trades} (min={min_trades})") + + flds = {f.name for f in fields(base_p)} + for _ in range(TRIALS): + samp = _sample(cfg["ranges"]) + trial_p = replace(base_p, **{k: v for k, v in samp.items() if k in flds}) + r = run_backtest(df, sym, trial_p, costs, period) + if r.total_trades < min_trades: + continue + if r.net_profit > best_r.net_profit: + best_p, best_r = trial_p, r + + if best_r.net_profit > base_r.net_profit: + updates = {f.name: getattr(best_p, f.name) for f in fields(best_p) + if f.name in cfg["ranges"] and f.name != "initial_balance"} + _patch_params_file(folder, updates) + print(f" IMPROVED net={best_r.net_profit:.2f} trades={best_r.total_trades} params={updates}") + else: + print(f" kept baseline net={base_r.net_profit:.2f} trades={base_r.total_trades}") + + +def main() -> None: + if not mt5.initialize(): + raise SystemExit("MT5 init failed") + try: + for name, cfg in SEARCH.items(): + optimize_folder(name, cfg) + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/frontline/units_economic_calendar/DarvasBoxXAUUSD/DarvasBoxXAUUSD_Genetic_Optimization.set b/frontline/units_economic_calendar/DarvasBoxXAUUSD/DarvasBoxXAUUSD_Genetic_Optimization.set new file mode 100644 index 0000000..ca12828 --- /dev/null +++ b/frontline/units_economic_calendar/DarvasBoxXAUUSD/DarvasBoxXAUUSD_Genetic_Optimization.set @@ -0,0 +1,27 @@ +; saved on 2026.04.22 +; genetic optimization set for DarvasBoxXAUUSD/main.mq5 +; load in MT5 Strategy Tester -> Inputs -> Load +; +; === Core Darvas Box Parameters === +BoxPeriod=165||80||5||280||Y +BoxDeviation=25140||8000||500||50000||Y +VolumeThreshold=938||200||25||2500||Y +StopLoss=1665||600||50||4000||Y +TakeProfit=3685||1200||75||8000||Y +EnableLogging=false||false||0||true||N +BoxColor=255||0||1||16777215||N +BoxWidth=1||1||1||3||N +; +; === Trend Confirmation Parameters === +TrendTimeframe=16386||16385||1||16388||Y +MA_Period=125||20||5||260||Y +MA_Method=1||0||1||3||Y +MA_Price=6||0||1||6||Y +TrendThreshold=4.94||1.0||0.2||20.0||Y +; +; === Volume Analysis Parameters === +VolumeMA_Period=110||20||5||220||Y +VolumeThresholdMultiplier=1.5||1.0||0.1||3.5||Y +; +; === Execution / ID === +MagicNumber=135790||135790||1||1357900||N diff --git a/frontline/units_economic_calendar/DarvasBoxXAUUSD/main.mq5 b/frontline/units_economic_calendar/DarvasBoxXAUUSD/main.mq5 new file mode 100644 index 0000000..6da93f9 --- /dev/null +++ b/frontline/units_economic_calendar/DarvasBoxXAUUSD/main.mq5 @@ -0,0 +1,443 @@ +//+------------------------------------------------------------------+ +//| DarvasBox.mq5 | +//| Copyright 2024, MetaQuotes Ltd. | +//| https://www.mql5.com | +//+------------------------------------------------------------------+ +#property copyright "Copyright 2024, MetaQuotes Ltd." +#property link "https://www.mql5.com" +#property version "1.00" +#property strict + +#include +#include +#include +#include "../_united/MagicNumberHelpers.mqh" + +// Input parameters +input int BoxPeriod = 165; // Period for Darvas Box calculation +input double BoxDeviation = 25140; // Box deviation in points +input int VolumeThreshold = 938; // Minimum volume for confirmation +input double StopLoss = 1665; // Stop loss in points (increased for BTCUSD) +input double TakeProfit = 3685; // Take profit in points (increased for BTCUSD) +input bool EnableLogging = false; // Enable detailed logging +input color BoxColor = clrBlue; // Color for Darvas Box +input int BoxWidth = 1; // Width of box lines + +// Trend confirmation parameters +input ENUM_TIMEFRAMES TrendTimeframe = PERIOD_H2; // Timeframe for trend analysis +input int MA_Period = 125; // Moving Average period for trend +input ENUM_MA_METHOD MA_Method = MODE_EMA; // Moving Average method +input ENUM_APPLIED_PRICE MA_Price = PRICE_WEIGHTED; // Price type for MA +input double TrendThreshold = 4.94; // Trend strength threshold + +// Volume analysis parameters +input int VolumeMA_Period = 110; // Period for Volume MA +input double VolumeThresholdMultiplier = 1.5; // Volume spike threshold + +// Magic Number +input int MagicNumber = 135790; // Magic Number for Trades + +// Global variables +double boxHigh = 0; +double boxLow = 0; +bool boxFormed = false; +datetime lastBoxTime = 0; +string boxName = "DarvasBox_"; +double minStopLevel = 0; +double point = 0; +CTrade trade; + +// Indicator handles +int maHandle; +int volumeHandle; + +//+------------------------------------------------------------------+ +//| Expert initialization function | +//+------------------------------------------------------------------+ +int OnInit() +{ + // Initialize indicators and variables + boxHigh = 0; + boxLow = 0; + boxFormed = false; + lastBoxTime = 0; + + // Get symbol properties + point = SymbolInfoDouble(_Symbol, SYMBOL_POINT); + minStopLevel = SymbolInfoInteger(_Symbol, SYMBOL_TRADE_STOPS_LEVEL) * point; + + // Initialize indicators + maHandle = iMA(_Symbol, TrendTimeframe, MA_Period, 0, MA_Method, MA_Price); + volumeHandle = iVolumes(_Symbol, PERIOD_CURRENT, VOLUME_TICK); + + if(maHandle == INVALID_HANDLE || volumeHandle == INVALID_HANDLE) + { + Print("Error creating indicators"); + return(INIT_FAILED); + } + + // Configure trade object + trade.SetDeviationInPoints(10); + trade.SetTypeFilling(ORDER_FILLING_IOC); + trade.SetAsyncMode(false); + trade.SetExpertMagicNumber(MagicNumber); + + if(EnableLogging) + { + Print("Darvas Box Expert Advisor initialized"); + Print("Symbol: ", _Symbol); + Print("Point: ", point); + Print("Minimum Stop Level: ", minStopLevel); + } + + // Delete any existing box objects + ObjectsDeleteAll(0, boxName); + + return(INIT_SUCCEEDED); +} + +//+------------------------------------------------------------------+ +//| Draw Darvas Box on chart | +//+------------------------------------------------------------------+ +void DrawDarvasBox() +{ + if(!boxFormed) return; + + datetime time1 = iTime(_Symbol, PERIOD_H1, BoxPeriod); + datetime time2 = iTime(_Symbol, PERIOD_H1, 0); + + // Delete old box + ObjectsDeleteAll(0, boxName); + + // Draw box + ObjectCreate(0, boxName + "Top", OBJ_TREND, 0, time1, boxHigh, time2, boxHigh); + ObjectCreate(0, boxName + "Bottom", OBJ_TREND, 0, time1, boxLow, time2, boxLow); + + // Set box properties + ObjectSetInteger(0, boxName + "Top", OBJPROP_COLOR, BoxColor); + ObjectSetInteger(0, boxName + "Bottom", OBJPROP_COLOR, BoxColor); + ObjectSetInteger(0, boxName + "Top", OBJPROP_WIDTH, BoxWidth); + ObjectSetInteger(0, boxName + "Bottom", OBJPROP_WIDTH, BoxWidth); + ObjectSetInteger(0, boxName + "Top", OBJPROP_RAY_RIGHT, true); + ObjectSetInteger(0, boxName + "Bottom", OBJPROP_RAY_RIGHT, true); +} + +//+------------------------------------------------------------------+ +//| Calculate Darvas Box levels | +//+------------------------------------------------------------------+ +void CalculateDarvasBox() +{ + double high = 0; + double low = DBL_MAX; + + // Find highest high and lowest low in the period + for(int i = 0; i < BoxPeriod; i++) + { + high = MathMax(high, iHigh(_Symbol, PERIOD_H1, i)); + low = MathMin(low, iLow(_Symbol, PERIOD_H1, i)); + } + + double range = high - low; + double allowedRange = BoxDeviation * _Point; + + if(EnableLogging) + { + Print("Box Calculation - High: ", high, " Low: ", low, " Range: ", range, " Allowed Range: ", allowedRange); + } + + // Check if box is formed + if(range <= allowedRange) + { + boxHigh = high; + boxLow = low; + boxFormed = true; + lastBoxTime = iTime(_Symbol, PERIOD_CURRENT, 0); + + // Draw the box + DrawDarvasBox(); + + if(EnableLogging) + Print("Box Formed - High: ", boxHigh, " Low: ", boxLow, " Time: ", lastBoxTime); + } + else + { + boxFormed = false; + // Delete box if it exists + ObjectsDeleteAll(0, boxName); + } +} + +//+------------------------------------------------------------------+ +//| Validate and adjust stop levels | +//+------------------------------------------------------------------+ +bool ValidateStopLevels(double price, double &sl, double &tp, ENUM_ORDER_TYPE orderType) +{ + double minSlDistance = MathMax(minStopLevel, StopLoss * point); + double minTpDistance = MathMax(minStopLevel, TakeProfit * point); + + if(EnableLogging) + { + Print("Minimum SL Distance: ", minSlDistance); + Print("Minimum TP Distance: ", minTpDistance); + } + + // Adjust stop loss + if(orderType == ORDER_TYPE_BUY) + { + sl = price - minSlDistance; + tp = price + minTpDistance; + + if(EnableLogging) + { + Print("Buy Order Levels:"); + Print("Entry: ", price); + Print("Stop Loss: ", sl); + Print("Take Profit: ", tp); + } + } + else // ORDER_TYPE_SELL + { + sl = price + minSlDistance; + tp = price - minTpDistance; + + if(EnableLogging) + { + Print("Sell Order Levels:"); + Print("Entry: ", price); + Print("Stop Loss: ", sl); + Print("Take Profit: ", tp); + } + } + + return true; +} + +//+------------------------------------------------------------------+ +//| Check trend direction and strength | +//+------------------------------------------------------------------+ +bool IsTrendFavorable(ENUM_ORDER_TYPE orderType) +{ + double ma[]; + ArraySetAsSeries(ma, true); + + if(CopyBuffer(maHandle, 0, 0, 2, ma) <= 0) + return false; + + double currentPrice = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + double trendStrength = MathAbs(currentPrice - ma[0]) / point; + + if(EnableLogging) + Print("Trend Strength: ", trendStrength); + + if(orderType == ORDER_TYPE_BUY) + return (currentPrice > ma[0] && trendStrength > TrendThreshold); + else + return (currentPrice < ma[0] && trendStrength > TrendThreshold); +} + +//+------------------------------------------------------------------+ +//| Check volume conditions | +//+------------------------------------------------------------------+ +bool CheckVolumeConditions() +{ + double volumes[]; + ArraySetAsSeries(volumes, true); + + if(CopyBuffer(volumeHandle, 0, 0, VolumeMA_Period + 1, volumes) <= 0) + return false; + + double volumeMA = 0; + for(int i = 1; i <= VolumeMA_Period; i++) + volumeMA += volumes[i]; + volumeMA /= VolumeMA_Period; + + double currentVolume = volumes[0]; + double volumeRatio = currentVolume / volumeMA; + + if(EnableLogging) + Print("Volume Ratio: ", volumeRatio); + + return (volumeRatio > VolumeThresholdMultiplier); +} + +//+------------------------------------------------------------------+ +//| Place trade order | +//+------------------------------------------------------------------+ +bool PlaceOrder(ENUM_ORDER_TYPE orderType, double price, double sl, double tp) +{ + // Validate and adjust stop levels + if(!ValidateStopLevels(price, sl, tp, orderType)) + { + if(EnableLogging) + Print("Invalid stop levels after adjustment"); + return false; + } + + // Check trend and volume conditions + if(!IsTrendFavorable(orderType)) + { + if(EnableLogging) + Print("Trend not favorable for trade"); + return false; + } + + if(!CheckVolumeConditions()) + { + if(EnableLogging) + Print("Volume conditions not met"); + return false; + } + + if(EnableLogging) + { + Print("Order Details:"); + Print("Type: ", EnumToString(orderType)); + Print("Price: ", price); + Print("Stop Loss: ", sl); + Print("Take Profit: ", tp); + } + + bool result = false; + + if(orderType == ORDER_TYPE_BUY) + { + result = trade.Buy(0.01, _Symbol, price, sl, tp, "Darvas Box Breakout"); + } + else + { + result = trade.Sell(0.01, _Symbol, price, sl, tp, "Darvas Box Breakdown"); + } + + if(EnableLogging) + { + if(result) + Print((orderType == ORDER_TYPE_BUY ? "Buy" : "Sell"), " Order Placed Successfully"); + else + Print((orderType == ORDER_TYPE_BUY ? "Buy" : "Sell"), " Order Failed - Error: ", trade.ResultRetcode(), " Description: ", trade.ResultRetcodeDescription()); + } + + return result; +} + +//+------------------------------------------------------------------+ +//| Expert tick function | +//+------------------------------------------------------------------+ +void OnTick() +{ + // Calculate new box levels + CalculateDarvasBox(); + + // Check for trading signals + if(boxFormed) + { + double currentPrice = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + double currentVolume = iVolume(_Symbol, PERIOD_CURRENT, 0); + + if(EnableLogging) + { + Print("Current Price: ", currentPrice, " Box High: ", boxHigh, " Box Low: ", boxLow); + Print("Current Volume: ", currentVolume, " Volume Threshold: ", VolumeThreshold); + } + + // Check for breakout above box + if(currentPrice > boxHigh && currentVolume > VolumeThreshold) + { + if(EnableLogging) + Print("Breakout Signal Detected - Price above box high"); + + // Buy signal + if(!PositionExistsByMagic(_Symbol, MagicNumber)) // No existing positions with our magic number + { + double sl = currentPrice - StopLoss * _Point; + double tp = currentPrice + TakeProfit * _Point; + + if(EnableLogging) + Print("Preparing Buy Order - Price: ", currentPrice, " SL: ", sl, " TP: ", tp); + + PlaceOrder(ORDER_TYPE_BUY, currentPrice, sl, tp); + } + else if(EnableLogging) + Print("Skipping Buy Signal - Position already exists"); + } + + // Check for breakdown below box + if(currentPrice < boxLow && currentVolume > VolumeThreshold) + { + if(EnableLogging) + Print("Breakdown Signal Detected - Price below box low"); + + // Sell signal + if(!PositionExistsByMagic(_Symbol, MagicNumber)) // No existing positions with our magic number + { + double sl = currentPrice + StopLoss * _Point; + double tp = currentPrice - TakeProfit * _Point; + + if(EnableLogging) + Print("Preparing Sell Order - Price: ", currentPrice, " SL: ", sl, " TP: ", tp); + + PlaceOrder(ORDER_TYPE_SELL, currentPrice, sl, tp); + } + else if(EnableLogging) + Print("Skipping Sell Signal - Position already exists"); + } + } + else if(EnableLogging) + Print("No Box Formed - Waiting for consolidation"); +} + +//+------------------------------------------------------------------+ +//| Get last error description | +//+------------------------------------------------------------------+ +string GetLastErrorDescription() +{ + string errorDescription; + switch(GetLastError()) + { + case 0: errorDescription = "No error"; break; + case 1: errorDescription = "No error, but result unknown"; break; + case 2: errorDescription = "Common error"; break; + case 3: errorDescription = "Invalid trade parameters"; break; + case 4: errorDescription = "Trade server is busy"; break; + case 5: errorDescription = "Old version of the client terminal"; break; + case 6: errorDescription = "No connection with trade server"; break; + case 7: errorDescription = "Not enough rights"; break; + case 8: errorDescription = "Too frequent requests"; break; + case 9: errorDescription = "Malfunctional trade operation"; break; + case 64: errorDescription = "Account disabled"; break; + case 65: errorDescription = "Invalid account"; break; + case 128: errorDescription = "Trade timeout"; break; + case 129: errorDescription = "Invalid price"; break; + case 130: errorDescription = "Invalid stops"; break; + case 131: errorDescription = "Invalid trade volume"; break; + case 132: errorDescription = "Market is closed"; break; + case 133: errorDescription = "Trade is disabled"; break; + case 134: errorDescription = "Not enough money"; break; + case 135: errorDescription = "Price changed"; break; + case 136: errorDescription = "Off quotes"; break; + case 137: errorDescription = "Broker is busy"; break; + case 138: errorDescription = "Requote"; break; + case 139: errorDescription = "Order is locked"; break; + case 140: errorDescription = "Long positions only allowed"; break; + case 141: errorDescription = "Too many requests"; break; + case 145: errorDescription = "Modification denied because order is too close to market"; break; + case 146: errorDescription = "Trade context is busy"; break; + case 147: errorDescription = "Expirations are denied by broker"; break; + case 148: errorDescription = "Amount of open and pending orders has reached the limit"; break; + case 149: errorDescription = "Hedging is prohibited"; break; + case 150: errorDescription = "Prohibited by FIFO rules"; break; + default: errorDescription = "Unknown error"; break; + } + return errorDescription; +} + +//+------------------------------------------------------------------+ +//| Expert deinitialization function | +//+------------------------------------------------------------------+ +void OnDeinit(const int reason) +{ + // Delete all box objects + ObjectsDeleteAll(0, boxName); + + if(EnableLogging) + Print("Expert Advisor deinitialized - Reason: ", reason); +} diff --git a/frontline/units_economic_calendar/EMASlopeDistanceCocktailXAUUSD/EMASlopeDistanceCocktailXAUUSD_Genetic_Optimization.set b/frontline/units_economic_calendar/EMASlopeDistanceCocktailXAUUSD/EMASlopeDistanceCocktailXAUUSD_Genetic_Optimization.set new file mode 100644 index 0000000..8e9725e --- /dev/null +++ b/frontline/units_economic_calendar/EMASlopeDistanceCocktailXAUUSD/EMASlopeDistanceCocktailXAUUSD_Genetic_Optimization.set @@ -0,0 +1,35 @@ +; saved on 2026.05.13 +; genetic optimization set for EMASlopeDistanceCocktailXAUUSD/main.mq5 +; load in MT5 Strategy Tester -> Inputs -> Load +; format: Parameter=Current||Start||Step||Stop||Optimize(Y/N) +; +; ENUM_TIMEFRAMES: M1=1 M5=5 M15=15 M30=30 H1=16385 H4=16388 D1=16408 +; Timeframe fixed at H1 (16385); sweeping 0..49153 can pick invalid enum values. +; +; Ranges/steps match Desktop 123.set (2026.05.13); Y marks parameters included in genetic optimization. + +; === EMA / trigger thresholds === +EMA_Periode=50||50||1||500||Y +PreisSchwelle=700.0||70.0||70.0||7000.0||Y +SteigungSchwelle=25.0||2.5||2.5||250.0||Y +ÜberwachungTimeout=340||1||1||3400||Y +TrailingStop=370.0||37.0||37.0||3700.0||Y +LotGröße=0.07||0.007||0.007||0.7||Y + +; === execution / data === +MagicNumber=135790||135790||1||1357900||N +UseSpreadAdjustment=true||false||0||true||N +Timeframe=16385||16385||0||16385||N +UseBarData=true||false||0||true||N + +; === crossover / profit management === +MaxTradesPerCrossover=10||1||1||100||Y +ProfitCheckBars=15||1||1||150||Y +CloseUnprofitableTrades=true||false||0||true||N + +; === weekly ADX filter === +UseWeeklyADXFilter=true||false||0||true||N +WeeklyADXPeriod=15||1||1||150||Y +WeeklyADXMin=40.0||4.0||4.0||400.0||Y +WeeklyADXBarShift=2||1||1||20||Y +WeeklyADXUseDirection=true||false||0||true||N diff --git a/lab/EAs/EMASlopeDistanceCocktailBTCUSD/main.mq5 b/frontline/units_economic_calendar/EMASlopeDistanceCocktailXAUUSD/main.mq5 similarity index 97% rename from lab/EAs/EMASlopeDistanceCocktailBTCUSD/main.mq5 rename to frontline/units_economic_calendar/EMASlopeDistanceCocktailXAUUSD/main.mq5 index 06b1086..586e17e 100644 --- a/lab/EAs/EMASlopeDistanceCocktailBTCUSD/main.mq5 +++ b/frontline/units_economic_calendar/EMASlopeDistanceCocktailXAUUSD/main.mq5 @@ -8,24 +8,24 @@ #property version "1.00" #include #include "../_united/MagicNumberHelpers.mqh" -//--- Eingabeparameter (Input Parameters) - Optimized Profitable Parameters -input int EMA_Periode = 50; // EMA Periode -input double PreisSchwelle = 700.0; // Preisbewegung Schwelle in Pips -input double SteigungSchwelle = 25.0; // EMA Steigung Schwelle in Pips +//--- Eingabeparameter (Input Parameters) — synced with Desktop 123.set (2026.05.13) +input int EMA_Periode = 85; // EMA Periode +input double PreisSchwelle = 350.0; // Preisbewegung Schwelle in Pips +input double SteigungSchwelle = 22.5; // EMA Steigung Schwelle in Pips input int ÜberwachungTimeout = 340; // Überwachungszeit in Sekunden -input double TrailingStop = 370.0; // Gleitender Stop in Pips +input double TrailingStop = 74.0; // Gleitender Stop in Pips input double LotGröße = 0.07; // Handelsvolumen input int MagicNumber = 135790; // Magic Number für Trades input bool UseSpreadAdjustment = true; // Spread-Anpassung verwenden input ENUM_TIMEFRAMES Timeframe = PERIOD_H1; // Zeitraum für Analyse input bool UseBarData = true; // Bar-Daten statt Tick-Daten verwenden -input int MaxTradesPerCrossover = 10; // Maximale Trades pro Crossover-Ereignis -input int ProfitCheckBars = 15; // Bars bis zur Profit-Prüfung +input int MaxTradesPerCrossover = 48; // Maximale Trades pro Crossover-Ereignis +input int ProfitCheckBars = 78; // Bars bis zur Profit-Prüfung input bool CloseUnprofitableTrades = true; // Unprofitable Trades nach X Bars schließen input bool UseWeeklyADXFilter = true; // W1 ADX Trendfilter aktivieren -input int WeeklyADXPeriod = 15; // ADX-Periode auf W1 -input double WeeklyADXMin = 40.0; // Minimaler ADX fuer Trendfreigabe -input int WeeklyADXBarShift = 2; // 1=letzte geschlossene W1-Kerze +input int WeeklyADXPeriod = 28; // ADX-Periode auf W1 +input double WeeklyADXMin = 25.0; // Minimaler ADX fuer Trendfreigabe +input int WeeklyADXBarShift = 8; // 1=letzte geschlossene W1-Kerze input bool WeeklyADXUseDirection = true; // +DI/-DI Richtung mitpruefen //--- Globale Variablen (Global Variables) diff --git a/frontline/units/MeanReversionBTCUSD/MeanReversionEMA_RSI_ADX.mq5 b/frontline/units_economic_calendar/MeanReversionBTCUSD/MeanReversionEMA_RSI_ADX.mq5 similarity index 100% rename from frontline/units/MeanReversionBTCUSD/MeanReversionEMA_RSI_ADX.mq5 rename to frontline/units_economic_calendar/MeanReversionBTCUSD/MeanReversionEMA_RSI_ADX.mq5 diff --git a/frontline/units/MeanReversionBTCUSD/MeanReversionEMA_RSI_ADX_genetic.set b/frontline/units_economic_calendar/MeanReversionBTCUSD/MeanReversionEMA_RSI_ADX_genetic.set similarity index 100% rename from frontline/units/MeanReversionBTCUSD/MeanReversionEMA_RSI_ADX_genetic.set rename to frontline/units_economic_calendar/MeanReversionBTCUSD/MeanReversionEMA_RSI_ADX_genetic.set diff --git a/frontline/units/MeanReversionBTCUSD/daughter.set b/frontline/units_economic_calendar/MeanReversionBTCUSD/daughter.set similarity index 100% rename from frontline/units/MeanReversionBTCUSD/daughter.set rename to frontline/units_economic_calendar/MeanReversionBTCUSD/daughter.set diff --git a/frontline/units_economic_calendar/RSICrossOverReversalXAUUSD/RSICrossOverReversalXAUUSD_Genetic_Optimization.set b/frontline/units_economic_calendar/RSICrossOverReversalXAUUSD/RSICrossOverReversalXAUUSD_Genetic_Optimization.set new file mode 100644 index 0000000..ac331d4 --- /dev/null +++ b/frontline/units_economic_calendar/RSICrossOverReversalXAUUSD/RSICrossOverReversalXAUUSD_Genetic_Optimization.set @@ -0,0 +1,38 @@ +; RSICrossOverReversalXAUUSD/main.mq5 — Strategy Tester → Inputs → Load +; +; MT5 line format: Name=Value||From||Step||To||Optimize +; Value = input default when you Load this file +; From, Step, To = optimization range when Optimize=Y (Genetic / slow complete algorithm) +; Optimize=N = keep Value; From/Step/To are ignored +; +; First column matches main.mq5 source defaults (not the old Desktop 123 snapshot). + +MagicNumber=7||7||1||7||N +rsiPeriod=19||10||1||35||Y +overboughtLevel=93||65||2||95||Y +oversoldLevel=22||10||1||45||Y +entryRSIBuySpread=0.0||0.0||0.5||8.0||Y +entryRSISellSpread=0.0||0.0||0.5||8.0||Y +lotSize=0.1||0.1||0.01||0.5||N +slippage=3||3||1||3||N +cooldownSeconds=209||60||30||600||Y +TimeFrame1=1||1||0||1||N +TimeFrame2=1||1||0||1||N +BarTimeFrame=12||12||0||12||N +emaPeriod=140||50||10||300||Y +emaSlopeThreshold=105.0||20.0||5.0||200.0||Y +exitBuyRSI=86.0||65.0||1.0||92.0||Y +exitSellRSI=10.0||5.0||1.0||40.0||Y +TrailingStop=295.0||80.0||15.0||450.0||Y +emaDistanceThreshold=165.0||40.0||10.0||350.0||Y +tradingHourOneBegin=24||0||1||23||N +tradingHourOneEnd=22||0||1||23||N +tradingHourTwoBegin=6||0||1||14||Y +tradingHourTwoEnd=19||14||1||23||Y +Sunday=false||false||0||true||Y +Monday=false||false||0||true||Y +Tuesday=true||false||0||true||Y +Wednesday=true||false||0||true||Y +Thursday=true||false||0||true||Y +Friday=false||false||0||true||Y +Saturday=false||false||0||true||Y diff --git a/frontline/units_economic_calendar/RSICrossOverReversalXAUUSD/main.mq5 b/frontline/units_economic_calendar/RSICrossOverReversalXAUUSD/main.mq5 new file mode 100644 index 0000000..8412fa6 --- /dev/null +++ b/frontline/units_economic_calendar/RSICrossOverReversalXAUUSD/main.mq5 @@ -0,0 +1,295 @@ +// Input Parameters +#include +#include "../_united/MagicNumberHelpers.mqh" + +input group "Trade Management" +input int MagicNumber = 7; +input int rsiPeriod = 19; // RSI period +input int overboughtLevel = 93; // Overbought level (RSI > 70 for sell) +input int oversoldLevel = 22; // Oversold level (RSI < 30 for buy) +input double entryRSIBuySpread = 0; +input double entryRSISellSpread = 0; +input double lotSize = 0.1; // Trade lot size +input int slippage = 3; // Slippage for orders +input int cooldownSeconds = 209; // Cooldown period in seconds +input ENUM_TIMEFRAMES TimeFrame1 = PERIOD_M1; // RSI Timeframe +input ENUM_TIMEFRAMES TimeFrame2 = PERIOD_M1; // EMA Timeframe +input ENUM_TIMEFRAMES BarTimeFrame = PERIOD_M12; // EMA Timeframe +input int emaPeriod = 140; // EMA period +input double emaSlopeThreshold = 105; // EMA slope threshold for trend strength +input double exitBuyRSI = 86; +input double exitSellRSI = 10; +input double TrailingStop = 295; +input double emaDistanceThreshold = 165; +input int tradingHourOneBegin = 24; +input int tradingHourOneEnd = 22; +input int tradingHourTwoBegin = 6; +input int tradingHourTwoEnd = 19; +datetime bartime; +// RSI Handle +int rsiHandle; + +input bool Sunday =false; // Sunday +input bool Monday =false; // Monday +input bool Tuesday =true; // Tuesday +input bool Wednesday=true; // Wednesday +input bool Thursday =true; // Thursday +input bool Friday =false; // Friday +input bool Saturday =false; // Saturday + +bool WeekDays[7]; + +void WeekDays_Init() + { + WeekDays[0]=Sunday; + WeekDays[1]=Monday; + WeekDays[2]=Tuesday; + WeekDays[3]=Wednesday; + WeekDays[4]=Thursday; + WeekDays[5]=Friday; + WeekDays[6]=Saturday; + } + +bool WeekDays_Check(datetime aTime) + { + MqlDateTime stm; + TimeToStruct(aTime,stm); + return(WeekDays[stm.day_of_week]); + } + + +// EMA Handle +int emaHandle; +double previousRSIDef = 0; +// Create CTrade object for executing trades +CTrade trade; + +// Track the last trade time +datetime lastTradeTime = 0; + +void OnInit() { + WeekDays_Init(); + + // Create RSI handle + rsiHandle = iRSI(_Symbol, TimeFrame1, rsiPeriod, PRICE_CLOSE); + if (rsiHandle == INVALID_HANDLE) { + Print("Error creating RSI handle: ", GetLastError()); + return; + } + + // Create EMA handle + emaHandle = iMA(_Symbol, TimeFrame2, emaPeriod, 0, MODE_EMA, PRICE_CLOSE); + if (emaHandle == INVALID_HANDLE) { + Print("Error creating EMA handle: ", GetLastError()); + return; + } + + // Initialization successful + Print("RSI and EMA Reversal Strategy Initialized."); +} + +void OnTick() { + if(bartime==iTime(_Symbol,BarTimeFrame,0))return; + bartime=iTime(_Symbol,BarTimeFrame,0); + + // Check if RSI data is available + double rsi[]; + if (CopyBuffer(rsiHandle, 0, 0, 2, rsi) <= 0) { + Print("Error copying RSI data: ", GetLastError()); + return; + } + + // Check if EMA data is available + double ema[]; + if (CopyBuffer(emaHandle, 0, 0, 2, ema) <= 0) { + Print("Error copying EMA data: ", GetLastError()); + return; + } + + // Get the current time + datetime currentTime = TimeCurrent(); + + + int currentHour = TimeHour(TimeCurrent()); + + if(!WeekDays_Check(TimeTradeServer())) { + Close_Position_MN(MagicNumber); + return; + } + + if (!(currentHour < tradingHourOneEnd && currentHour > tradingHourOneBegin || currentHour < tradingHourTwoEnd && currentHour > tradingHourTwoBegin)) + { + + Close_Position_MN(MagicNumber); + return; // Prevent further trading during this time + } + + + // Ensure there is at least one position + bool hasPosition = PositionExistsByMagic(_Symbol, MagicNumber); + + + + // Get the current and previous RSI values + double currentRSI = rsi[0]; + double previousRSI = rsi[1]; + + if(previousRSIDef == 0) { + previousRSIDef = currentRSI; + return; + } + + // Get the current and previous EMA values + double currentEMA = ema[0]; + double previousEMA = ema[1]; + + // Calculate the EMA slope (difference between current and previous EMA values) + double emaSlope = (currentEMA - previousEMA) * 100; + Print(emaSlope); + + double closeCurr = iClose(Symbol(), Period(), 0); // Close of current bar + // ** NEW CODE: Calculate distance to EMA and adjust score ** + double priceToEmaDistance = (closeCurr - currentEMA) * 10; // Distance between the current price and the EMA + Print("priceToEmaDistance"); + Print(priceToEmaDistance); + + + // Determine if there are existing buy or sell positions + bool isBuyPosition = false; + bool isSellPosition = false; + if (hasPosition) { + if (PositionSelectByMagic(_Symbol, MagicNumber)) { + int positionType = PositionGetInteger(POSITION_TYPE); + if (positionType == POSITION_TYPE_BUY) { + isBuyPosition = true; + } else if (positionType == POSITION_TYPE_SELL) { + isSellPosition = true; + } + } + } + + ApplyTrailingStop(); + + // Check if the cooldown period has elapsed since the last trade + bool cooldownPassed = (currentTime - lastTradeTime) >= cooldownSeconds; + + // Check if EMA slope is above the threshold (indicating strong trend) + bool isTrendStrong = MathAbs(emaSlope) > emaSlopeThreshold || MathAbs(priceToEmaDistance) > emaDistanceThreshold; + + // Close trade logic when RSI crosses 50 + if (isBuyPosition && currentRSI > exitBuyRSI) { + // Close buy position + Close_Position_MN(MagicNumber); + lastTradeTime = currentTime; // Update last trade time + } + + if (isSellPosition && currentRSI < exitSellRSI) { + Close_Position_MN(MagicNumber); + lastTradeTime = currentTime; // Update last trade time + + } + + + // If the EMA slope is strong, do not place new trades + if (isTrendStrong) { + Close_Position_MN(MagicNumber); + lastTradeTime = currentTime; // Update last trade time + Print("Strong trend detected (EMA slope), skipping new trade."); + return; + } + + // SELL logic (RSI crosses over the overbought level) + if (currentRSI < overboughtLevel - entryRSISellSpread && previousRSIDef >= overboughtLevel && !isSellPosition && !hasPosition && cooldownPassed) { + trade.SetExpertMagicNumber(MagicNumber); + if (trade.Sell(lotSize, _Symbol, 0, 0, "Sell Order")) { + Print("Sell order placed."); + lastTradeTime = currentTime; // Update last trade time + } else { + Print("Error placing sell order: ", GetLastError()); + } + } + + // BUY logic (RSI crosses below the oversold level) + if (currentRSI > oversoldLevel + entryRSIBuySpread && previousRSIDef <= oversoldLevel && !isBuyPosition && !hasPosition && cooldownPassed) { + trade.SetExpertMagicNumber(MagicNumber); + if (trade.Buy(lotSize, _Symbol, 0, 0, "Buy Order")) { + Print("Buy order placed."); + lastTradeTime = currentTime; // Update last trade time + } else { + Print("Error placing buy order: ", GetLastError()); + } + } + + previousRSIDef = currentRSI; +} + +void OnDeinit(const int reason) { + // Release RSI and EMA handles on deinitialization + if (rsiHandle != INVALID_HANDLE) { + IndicatorRelease(rsiHandle); + Print("RSI handle released."); + } + if (emaHandle != INVALID_HANDLE) { + IndicatorRelease(emaHandle); + Print("EMA handle released."); + } +} + + +void Close_Position_MN(ulong magicNumber) +{ + // Use helper function to close position by magic number + ClosePositionByMagic(trade, _Symbol, (int)magicNumber); +} + +void ApplyTrailingStop() +{ + Print("Scanning for trailing stop"); + + // Check if position exists with our magic number + if(!PositionSelectByMagic(_Symbol, MagicNumber)) + { + return; // No position with our magic number + } + + ulong PositionTicket = PositionGetInteger(POSITION_TICKET); + long trade_type = PositionGetInteger(POSITION_TYPE); + string symbol = _Symbol; + + double POINT = SymbolInfoDouble(symbol, SYMBOL_POINT); + int DIGIT = (int) SymbolInfoInteger(symbol, SYMBOL_DIGITS); + + if(trade_type == POSITION_TYPE_BUY) + { + double Bid = NormalizeDouble(SymbolInfoDouble(symbol, SYMBOL_BID), DIGIT); + + if(Bid - PositionGetDouble(POSITION_PRICE_OPEN) > NormalizeDouble(POINT * TrailingStop, DIGIT)) + { + if(PositionGetDouble(POSITION_SL) < NormalizeDouble(Bid - POINT * TrailingStop, DIGIT)) + { + ModifyPositionByMagic(trade, symbol, MagicNumber, + NormalizeDouble(Bid - POINT * TrailingStop, DIGIT), + PositionGetDouble(POSITION_TP)); + } + } + } + else if(trade_type == POSITION_TYPE_SELL) + { + double Ask = NormalizeDouble(SymbolInfoDouble(symbol, SYMBOL_ASK), DIGIT); + + if((PositionGetDouble(POSITION_PRICE_OPEN) - Ask) > NormalizeDouble(POINT * TrailingStop, DIGIT)) + { + if((PositionGetDouble(POSITION_SL) > NormalizeDouble(Ask + POINT * TrailingStop, DIGIT)) || + (PositionGetDouble(POSITION_SL) == 0)) + { + ModifyPositionByMagic(trade, symbol, MagicNumber, + NormalizeDouble(Ask + POINT * TrailingStop, DIGIT), + PositionGetDouble(POSITION_TP)); + } + } + } +} + +int TimeHour(datetime when=0){ if(when == 0) when = TimeCurrent(); + return when / 3600 % 24; +} \ No newline at end of file diff --git a/frontline/units_economic_calendar/RSIMidPointHijackXAUUSD/RSIMidPointHijackXAUUSD_Genetic_Optimization.set b/frontline/units_economic_calendar/RSIMidPointHijackXAUUSD/RSIMidPointHijackXAUUSD_Genetic_Optimization.set new file mode 100644 index 0000000..73379c5 --- /dev/null +++ b/frontline/units_economic_calendar/RSIMidPointHijackXAUUSD/RSIMidPointHijackXAUUSD_Genetic_Optimization.set @@ -0,0 +1,50 @@ +; RSIMidPointHijackXAUUSD/main.mq5 — Strategy Tester → Inputs → Load (Genetic optimization) +; Format: Parameter=Current||Start||Step||Stop||Optimize(Y/N) +; +; Baseline from Desktop 123.set (2026.05.13). InpTimeframe fixed at H1 (16385) to avoid invalid ENUM_TIMEFRAMES. +; RSI level sweeps capped at 100; hour sweeps capped at 23 (123.set used wider columns that are invalid for this EA). + +; === General Settings === +InpTimeframe=16385||16385||1||16385||N +InpLotSize=0.1||0.01||0.01||1.0||Y +InpMagicNumberRSIFollow=1001||1001||1||10010||N +InpMagicNumberRSIReverse=1002||1002||1||10020||N +InpMagicNumberEMACross=1003||1003||1||10030||N + +; === Strategy Switches === +InpEnableRSIFollow=true||false||0||true||N +InpEnableRSIReverse=true||false||0||true||N +InpEnableEMACross=true||false||0||true||N +InpEnableStrategyLock=true||false||0||true||N +InpLockProfitThreshold=6.0||0.6||0.6||60.0||Y +InpCloseOppositeTrades=true||false||0||true||N + +; === RSI Follow Strategy === +InpRSIPeriod=32||8||2||96||Y +InpRSIOverbought=78||60||1||95||Y +InpRSIOversold=46||5||1||45||Y +InpRSIExitLevel=44||10||1||90||Y +InpRSIFollowStartHour=23||0||1||23||Y +InpRSIFollowEndHour=8||0||1||23||Y +InpRSIFollowCloseOutsideHours=false||false||0||true||N + +; === RSI Reverse Strategy === +InpRSIReversePeriod=59||14||2||96||Y +InpRSIReverseOverbought=51||55||1||95||Y +InpRSIReverseOversold=49||5||1||50||Y +InpRSIReverseCrossLevel=53||45||1||70||Y +InpRSIReverseExitLevel=48||10||1||90||Y +InpRSIReverseStartHour=7||0||1||23||Y +InpRSIReverseEndHour=13||0||1||23||Y +InpRSIReverseCloseOutsideHours=false||false||0||true||N +InpRSIReverseCooldownBars=15||1||1||150||Y +InpRSIReverseCooldownOnLoss=true||false||0||true||N + +; === EMA Cross Strategy === +InpEMAPeriod=120||20||5||200||Y +InpEMACrossStartHour=8||0||1||23||Y +InpEMACrossEndHour=14||0||1||23||Y +InpEMACrossCloseOutsideHours=true||false||0||true||N +InpUseEMADistanceEntry=true||false||0||true||N +InpEMADistancePips=160.0||16.0||16.0||1600.0||Y +InpEMADistancePeriod=26||5||1||60||Y diff --git a/lab/EAs/RSIMidPointHijackBTCUSD/main.mq5 b/frontline/units_economic_calendar/RSIMidPointHijackXAUUSD/main.mq5 similarity index 98% rename from lab/EAs/RSIMidPointHijackBTCUSD/main.mq5 rename to frontline/units_economic_calendar/RSIMidPointHijackXAUUSD/main.mq5 index 161c0bd..de9ddb3 100644 --- a/lab/EAs/RSIMidPointHijackBTCUSD/main.mq5 +++ b/frontline/units_economic_calendar/RSIMidPointHijackXAUUSD/main.mq5 @@ -14,7 +14,7 @@ // Input Parameters input group "General Settings" input ENUM_TIMEFRAMES InpTimeframe = PERIOD_H1; // Trading Timeframe -input double InpLotSize = 0.02; // Lot Size +input double InpLotSize = 0.1; // Lot Size input int InpMagicNumberRSIFollow = 1001; // Magic Number RSI Follow input int InpMagicNumberRSIReverse = 1002;// Magic Number RSI Reverse input int InpMagicNumberEMACross = 1003; // Magic Number EMA Cross @@ -23,9 +23,9 @@ input group "Strategy Switches" input bool InpEnableRSIFollow = true; // Enable RSI Follow Strategy input bool InpEnableRSIReverse = true; // Enable RSI Reverse Strategy input bool InpEnableEMACross = true; // Enable EMA Cross Strategy -input bool InpEnableStrategyLock = false; // Enable Strategy Lock -input double InpLockProfitThreshold = 0.0; // Lock Profit Threshold (pips) -input bool InpCloseOppositeTrades = false; // Close Opposite Trades When Profiting +input bool InpEnableStrategyLock = true; // Enable Strategy Lock +input double InpLockProfitThreshold = 6.0; // Lock Profit Threshold (pips) +input bool InpCloseOppositeTrades = true; // Close Opposite Trades When Profiting input group "RSI Follow Strategy" input int InpRSIPeriod = 32; // RSI Period diff --git a/frontline/units_economic_calendar/RSIReversalAsianAUDUSD/RSIReversalAsianAUDUSD_Genetic_Optimization.set b/frontline/units_economic_calendar/RSIReversalAsianAUDUSD/RSIReversalAsianAUDUSD_Genetic_Optimization.set new file mode 100644 index 0000000..9fbe5fe --- /dev/null +++ b/frontline/units_economic_calendar/RSIReversalAsianAUDUSD/RSIReversalAsianAUDUSD_Genetic_Optimization.set @@ -0,0 +1,23 @@ +; RSIReversalAsianAUDUSD/main.mq5 — Strategy Tester → Inputs → Load (Genetic optimization) +; Format: Parameter=Current||Start||Step||Stop||Optimize(Y/N) +; Baseline aligned with current input defaults and Desktop 123.set-style ranges (2026.05.13). +; +; Core RSI / exits +RSIPeriod=28||14||2||40||Y +OverboughtLevel=68.0||55.0||1.0||80.0||Y +OversoldLevel=30.0||18.0||1.0||42.0||Y +TakeProfitPips=175||50||25||350||Y +StopLossPips=5||5||5||80||Y +MaxLotSize=0.2||0.01||0.01||0.2||N +MaxSpread=1000||200||100||2000||Y +MaxDuration=340||48||24||720||Y +UseStopLoss=false||false||0||true||N +UseTakeProfit=false||false||0||true||N +UseRSIExit=true||false||0||true||N +RSIExitLevel=48.0||40.0||1.0||55.0||Y +CloseOutsideSession=true||false||0||true||Y +; Panel (usually fixed; colors as in MT5 saved sets) +PanelBackground=0 +PanelText=16777215 +PanelX=10||10||1||100||N +PanelY=20||20||1||200||N diff --git a/frontline/units_economic_calendar/RSIReversalAsianAUDUSD/main.mq5 b/frontline/units_economic_calendar/RSIReversalAsianAUDUSD/main.mq5 new file mode 100644 index 0000000..92c7968 --- /dev/null +++ b/frontline/units_economic_calendar/RSIReversalAsianAUDUSD/main.mq5 @@ -0,0 +1,539 @@ +//+------------------------------------------------------------------+ +//| SimpleRSIReversalAUDUSD.mq5 | +//| Copyright 2024, MetaQuotes Ltd. | +//| https://www.mql5.com | +//+------------------------------------------------------------------+ +#property copyright "Copyright 2024, MetaQuotes Ltd." +#property link "https://www.mql5.com" +#property version "1.00" +#property strict + +// Include trade class +#include + +// Input parameters +input int RSIPeriod = 28; // RSI period +input double OverboughtLevel = 68; // Overbought level +input double OversoldLevel = 30; // Oversold level +input int TakeProfitPips = 175; // Take profit in pips +input int StopLossPips = 5; // Stop loss in pips +input double MaxLotSize = 0.2; // Maximum lot size +input int MaxSpread = 1000; // Maximum allowed spread in pips +input int MaxDuration = 340; // Maximum trade duration in hours +input bool UseStopLoss = false; // Use stop loss +input bool UseTakeProfit = false; // Use take profit +input bool UseRSIExit = true; // Use RSI for exit +input double RSIExitLevel = 48; // RSI level to exit (50 = neutral) +input bool CloseOutsideSession = true; // Close trades outside Asian session +input color PanelBackground = clrBlack; // Panel background color +input color PanelText = clrWhite; // Panel text color +input int PanelX = 10; // Panel X position +input int PanelY = 20; // Panel Y position + +// Global variables +CTrade trade; +int rsiHandle; +bool isPositionOpen = false; +double positionOpenPrice = 0; +datetime positionOpenTime = 0; +ENUM_POSITION_TYPE lastPositionType = POSITION_TYPE_BUY; +bool sessionCloseAttempted = false; // Track if we've attempted to close positions for current session + +// RSI crossover variables +double rsiCurrent = 0; +double rsiPrevious = 0; +double rsiPrevious2 = 0; +bool rsiCrossedOverbought = false; +bool rsiCrossedOversold = false; +bool rsiCrossedExitLevel = false; + +// Panel objects +string panelName = "RSIPanel"; +int panelWidth = 200; +int panelHeight = 200; +int labelHeight = 20; +int labelSpacing = 5; + +// Session times (UTC) +const int AsianSessionStart = 0; // 00:00 UTC +const int AsianSessionEnd = 8; // 08:00 UTC + +//+------------------------------------------------------------------+ +//| Create panel | +//+------------------------------------------------------------------+ +void CreatePanel() +{ + // Create panel background + ObjectCreate(0, panelName, OBJ_RECTANGLE_LABEL, 0, 0, 0); + ObjectSetInteger(0, panelName, OBJPROP_XDISTANCE, PanelX); + ObjectSetInteger(0, panelName, OBJPROP_YDISTANCE, PanelY); + ObjectSetInteger(0, panelName, OBJPROP_XSIZE, panelWidth); + ObjectSetInteger(0, panelName, OBJPROP_YSIZE, panelHeight); + ObjectSetInteger(0, panelName, OBJPROP_BGCOLOR, PanelBackground); + ObjectSetInteger(0, panelName, OBJPROP_BORDER_TYPE, BORDER_FLAT); + ObjectSetInteger(0, panelName, OBJPROP_CORNER, CORNER_LEFT_UPPER); + ObjectSetInteger(0, panelName, OBJPROP_COLOR, PanelText); + ObjectSetInteger(0, panelName, OBJPROP_STYLE, STYLE_SOLID); + ObjectSetInteger(0, panelName, OBJPROP_WIDTH, 1); + ObjectSetInteger(0, panelName, OBJPROP_BACK, false); + ObjectSetInteger(0, panelName, OBJPROP_SELECTABLE, false); + ObjectSetInteger(0, panelName, OBJPROP_SELECTED, false); + ObjectSetInteger(0, panelName, OBJPROP_HIDDEN, true); + ObjectSetInteger(0, panelName, OBJPROP_ZORDER, 0); + + // Create title label + ObjectCreate(0, panelName + "Title", OBJ_LABEL, 0, 0, 0); + ObjectSetInteger(0, panelName + "Title", OBJPROP_XDISTANCE, PanelX + 5); + ObjectSetInteger(0, panelName + "Title", OBJPROP_YDISTANCE, PanelY + 5); + ObjectSetInteger(0, panelName + "Title", OBJPROP_CORNER, CORNER_LEFT_UPPER); + ObjectSetString(0, panelName + "Title", OBJPROP_TEXT, "RSI Reversal"); + ObjectSetInteger(0, panelName + "Title", OBJPROP_COLOR, PanelText); + ObjectSetInteger(0, panelName + "Title", OBJPROP_FONTSIZE, 10); + + // Create score labels + CreateScoreLabel("RSI", "RSI: ", 0); + CreateScoreLabel("Position", "Position: ", 1); + CreateScoreLabel("Spread", "Spread: ", 2); + CreateScoreLabel("Session", "Session: ", 3); + CreateScoreLabel("SL", "Stop Loss: ", 4); + CreateScoreLabel("TP", "Take Profit: ", 5); + CreateScoreLabel("Cross", "Cross: ", 6); +} + +//+------------------------------------------------------------------+ +//| Create score label | +//+------------------------------------------------------------------+ +void CreateScoreLabel(string name, string text, int index) +{ + ObjectCreate(0, panelName + name, OBJ_LABEL, 0, 0, 0); + ObjectSetInteger(0, panelName + name, OBJPROP_XDISTANCE, PanelX + 5); + ObjectSetInteger(0, panelName + name, OBJPROP_YDISTANCE, PanelY + 30 + index * (labelHeight + labelSpacing)); + ObjectSetInteger(0, panelName + name, OBJPROP_CORNER, CORNER_LEFT_UPPER); + ObjectSetString(0, panelName + name, OBJPROP_TEXT, text); + ObjectSetInteger(0, panelName + name, OBJPROP_COLOR, PanelText); + ObjectSetInteger(0, panelName + name, OBJPROP_FONTSIZE, 8); +} + +//+------------------------------------------------------------------+ +//| Update panel values | +//+------------------------------------------------------------------+ +void UpdatePanel(double rsi, string position, int spread, string session, double sl, double tp, string crossInfo) +{ + ObjectSetString(0, panelName + "RSI", OBJPROP_TEXT, "RSI: " + DoubleToString(rsi, 2)); + ObjectSetString(0, panelName + "Position", OBJPROP_TEXT, "Position: " + position); + ObjectSetString(0, panelName + "Spread", OBJPROP_TEXT, "Spread: " + IntegerToString(spread) + " pips"); + ObjectSetString(0, panelName + "Session", OBJPROP_TEXT, "Session: " + session); + ObjectSetString(0, panelName + "SL", OBJPROP_TEXT, "Stop Loss: " + IntegerToString(StopLossPips) + " pips"); + ObjectSetString(0, panelName + "TP", OBJPROP_TEXT, "Take Profit: " + IntegerToString(TakeProfitPips) + " pips"); + ObjectSetString(0, panelName + "Cross", OBJPROP_TEXT, "Cross: " + crossInfo); +} + +//+------------------------------------------------------------------+ +//| Check if current time is in Asian session | +//+------------------------------------------------------------------+ +bool IsAsianSession() +{ + datetime currentTime = TimeCurrent(); + MqlDateTime timeStruct; + TimeToStruct(currentTime, timeStruct); + + return (timeStruct.hour >= AsianSessionStart && timeStruct.hour < AsianSessionEnd); +} + +//+------------------------------------------------------------------+ +//| Get current session name | +//+------------------------------------------------------------------+ +string GetCurrentSession() +{ + datetime currentTime = TimeCurrent(); + MqlDateTime timeStruct; + TimeToStruct(currentTime, timeStruct); + + if(timeStruct.hour >= AsianSessionStart && timeStruct.hour < AsianSessionEnd) + return "Asian"; + else if(timeStruct.hour >= 8 && timeStruct.hour < 16) + return "London"; + else if(timeStruct.hour >= 13 && timeStruct.hour < 21) + return "New York"; + else + return "Other"; +} + +//+------------------------------------------------------------------+ +//| Check if trading is allowed | +//+------------------------------------------------------------------+ +bool IsTradingAllowed() +{ + // Check if market is open + if(!SymbolInfoInteger(_Symbol, SYMBOL_TRADE_MODE) == SYMBOL_TRADE_MODE_FULL) + { + return false; + } + + // Check if we have enough money + if(AccountInfoDouble(ACCOUNT_MARGIN_FREE) <= 0) + { + return false; + } + + return true; +} + +//+------------------------------------------------------------------+ +//| Check RSI crossover conditions | +//+------------------------------------------------------------------+ +void CheckRSICrossover() +{ + // Reset crossover flags + rsiCrossedOverbought = false; + rsiCrossedOversold = false; + rsiCrossedExitLevel = false; + + // Check for overbought crossover (RSI crosses above overbought level) + if(rsiPrevious < OverboughtLevel && rsiCurrent >= OverboughtLevel) + { + rsiCrossedOverbought = true; + } + + // Check for oversold crossover (RSI crosses below oversold level) + if(rsiPrevious > OversoldLevel && rsiCurrent <= OversoldLevel) + { + rsiCrossedOversold = true; + } + + // Check for exit level crossover + if(rsiPrevious < RSIExitLevel && rsiCurrent >= RSIExitLevel) + { + rsiCrossedExitLevel = true; + } + else if(rsiPrevious > RSIExitLevel && rsiCurrent <= RSIExitLevel) + { + rsiCrossedExitLevel = true; + } +} + +//+------------------------------------------------------------------+ +//| Expert initialization function | +//+------------------------------------------------------------------+ +int OnInit() +{ + // Initialize RSI indicator + rsiHandle = iRSI(_Symbol, PERIOD_M15, RSIPeriod, PRICE_CLOSE); + + if(rsiHandle == INVALID_HANDLE) + { + return(INIT_FAILED); + } + + // Wait a bit for the indicator to be ready + Sleep(100); + + // Initialize RSI values with retry logic + double rsi[]; + ArraySetAsSeries(rsi, true); + + int retryCount = 0; + bool rsiInitialized = false; + + while(retryCount < 10 && !rsiInitialized) + { + int copied = CopyBuffer(rsiHandle, 0, 0, 3, rsi); + if(copied >= 3) + { + rsiCurrent = rsi[0]; + rsiPrevious = rsi[1]; + rsiPrevious2 = rsi[2]; + rsiInitialized = true; + } + else + { + retryCount++; + Sleep(100); + } + } + + if(!rsiInitialized) + { + // Don't fail initialization, just set default values + rsiCurrent = 50.0; + rsiPrevious = 50.0; + rsiPrevious2 = 50.0; + } + + // Create panel + CreatePanel(); + + return(INIT_SUCCEEDED); +} + +//+------------------------------------------------------------------+ +//| Expert deinitialization function | +//+------------------------------------------------------------------+ +void OnDeinit(const int reason) +{ + // Release indicator handles + IndicatorRelease(rsiHandle); + + // Remove panel objects + ObjectsDeleteAll(0, panelName); +} + +//+------------------------------------------------------------------+ +//| Close all trades for the current symbol | +//+------------------------------------------------------------------+ +bool CloseAllTrades(string reason = "") +{ + bool allClosed = true; + int totalPositions = PositionsTotal(); + + if(totalPositions == 0) + return true; + + // Check if there are any positions with our magic number + bool hasOurPositions = false; + for(int i = 0; i < totalPositions; i++) + { + if(PositionGetSymbol(i) == _Symbol && PositionGetInteger(POSITION_MAGIC) == 123456) + { + hasOurPositions = true; + break; + } + } + + for(int i = totalPositions - 1; i >= 0; i--) + { + if(PositionGetSymbol(i) == _Symbol) + { + // Try to close position with retry logic + int retryCount = 0; + bool positionClosed = false; + + while(retryCount < 3 && !positionClosed) + { + if(trade.PositionClose(_Symbol)) + { + isPositionOpen = false; + positionClosed = true; + } + else + { + int error = GetLastError(); + + // If error is 4756 (Trade disabled), wait longer before retry + if(error == 4756) + { + Sleep(5000); // Wait 5 seconds before retry + retryCount++; + } + else + { + // For other errors, break the loop + break; + } + } + } + + if(!positionClosed) + { + allClosed = false; + } + } + } + + return allClosed; +} + +//+------------------------------------------------------------------+ +//| Expert tick function | +//+------------------------------------------------------------------+ +void OnTick() +{ + // Check if trading is allowed + if(!IsTradingAllowed()) + { + return; + } + + // Check if we're in Asian session + if(!IsAsianSession()) + { + // Close all positions if outside Asian session and CloseOutsideSession is true + if(CloseOutsideSession && !sessionCloseAttempted) + { + CloseAllTrades("Outside Asian session"); + sessionCloseAttempted = true; + } + return; + } + else + { + // Reset the session close attempt flag when we enter Asian session + sessionCloseAttempted = false; + } + + // Get current spread + double spread = SymbolInfoDouble(_Symbol, SYMBOL_ASK) - SymbolInfoDouble(_Symbol, SYMBOL_BID); + int spreadInPips = (int)(spread / _Point); + + // Check if spread is too high + if(spreadInPips > MaxSpread) + { + return; + } + + // Get RSI values from bar data + double rsi[]; + ArraySetAsSeries(rsi, true); + + int copied = CopyBuffer(rsiHandle, 0, 0, 3, rsi); + if(copied < 3) + { + return; + } + + // Update RSI values + rsiPrevious2 = rsiPrevious; + rsiPrevious = rsiCurrent; + rsiCurrent = rsi[0]; + + // Validate RSI values + if(rsiCurrent == 0 || rsiPrevious == 0) + { + return; + } + + // Check for RSI crossovers + CheckRSICrossover(); + + // Get current prices + double currentBid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + double currentAsk = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + + // Get position status + string positionStatus = "None"; + for(int i = 0; i < PositionsTotal(); i++) + { + if(PositionGetSymbol(i) == _Symbol) + { + ENUM_POSITION_TYPE posType = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); + positionStatus = (posType == POSITION_TYPE_BUY) ? "Long" : "Short"; + break; + } + } + + // Calculate stop loss and take profit levels + double sl = 0; + double tp = 0; + + // Prepare crossover info for panel + string crossInfo = "None"; + if(rsiCrossedOverbought) crossInfo = "Overbought"; + else if(rsiCrossedOversold) crossInfo = "Oversold"; + else if(rsiCrossedExitLevel) crossInfo = "Exit"; + + // Update panel + UpdatePanel(rsiCurrent, positionStatus, spreadInPips, GetCurrentSession(), sl, tp, crossInfo); + + // Check for open position + bool hasOpenPosition = false; + for(int i = 0; i < PositionsTotal(); i++) + { + if(PositionGetSymbol(i) == _Symbol) + { + hasOpenPosition = true; + + // Get position details + double positionProfit = PositionGetDouble(POSITION_PROFIT); + double positionVolume = PositionGetDouble(POSITION_VOLUME); + double openPrice = PositionGetDouble(POSITION_PRICE_OPEN); + ENUM_POSITION_TYPE posType = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); + + // Check for RSI exit if enabled + if(UseRSIExit && rsiCrossedExitLevel) + { + bool shouldExit = false; + + // For long positions, exit when RSI crosses above exit level + if(posType == POSITION_TYPE_BUY && rsiCurrent >= RSIExitLevel && rsiPrevious < RSIExitLevel) + { + shouldExit = true; + } + // For short positions, exit when RSI crosses below exit level + else if(posType == POSITION_TYPE_SELL && rsiCurrent <= RSIExitLevel && rsiPrevious > RSIExitLevel) + { + shouldExit = true; + } + + if(shouldExit) + { + CloseAllTrades("RSI Exit Crossover"); + return; + } + } + + // Check for timeout + if(TimeCurrent() - positionOpenTime > MaxDuration * 3600) + { + CloseAllTrades("Timeout"); + return; + } + + break; + } + } + + // If no position is open, look for entry signals based on RSI crossover + if(!hasOpenPosition) + { + // Place buy order if RSI crosses below oversold level (oversold crossover) + if(rsiCrossedOversold) + { + double sl = UseStopLoss ? currentBid - StopLossPips * _Point : 0; + double tp = UseTakeProfit ? currentBid + TakeProfitPips * _Point : 0; + + if(UseStopLoss && sl >= currentBid) + return; + if(UseTakeProfit && tp <= currentBid) + return; + + // Set trade parameters + trade.SetDeviationInPoints(3); + trade.SetTypeFilling(ORDER_FILLING_IOC); + trade.SetExpertMagicNumber(123456); + + // Place buy order using CTrade + if(trade.Buy(MaxLotSize, _Symbol, currentAsk, sl, tp, "RSI Oversold Crossover Buy")) + { + isPositionOpen = true; + positionOpenPrice = currentAsk; + positionOpenTime = TimeCurrent(); + lastPositionType = POSITION_TYPE_BUY; + } + } + // Place sell order if RSI crosses above overbought level (overbought crossover) + else if(rsiCrossedOverbought) + { + double sl = UseStopLoss ? currentAsk + StopLossPips * _Point : 0; + double tp = UseTakeProfit ? currentAsk - TakeProfitPips * _Point : 0; + + if(UseStopLoss && sl <= currentAsk) + return; + if(UseTakeProfit && tp >= currentAsk) + return; + + // Set trade parameters + trade.SetDeviationInPoints(3); + trade.SetTypeFilling(ORDER_FILLING_IOC); + trade.SetExpertMagicNumber(123456); + + // Place sell order using CTrade + if(trade.Sell(MaxLotSize, _Symbol, currentBid, sl, tp, "RSI Overbought Crossover Sell")) + { + isPositionOpen = true; + positionOpenPrice = currentBid; + positionOpenTime = TimeCurrent(); + lastPositionType = POSITION_TYPE_SELL; + } + } + } +} \ No newline at end of file diff --git a/frontline/units_economic_calendar/RSIReversalAsianEURUSD/main.mq5 b/frontline/units_economic_calendar/RSIReversalAsianEURUSD/main.mq5 new file mode 100644 index 0000000..c89b331 --- /dev/null +++ b/frontline/units_economic_calendar/RSIReversalAsianEURUSD/main.mq5 @@ -0,0 +1,539 @@ +//+------------------------------------------------------------------+ +//| SimpleRSIReversalAUDUSD.mq5 | +//| Copyright 2024, MetaQuotes Ltd. | +//| https://www.mql5.com | +//+------------------------------------------------------------------+ +#property copyright "Copyright 2024, MetaQuotes Ltd." +#property link "https://www.mql5.com" +#property version "1.00" +#property strict + +// Include trade class +#include + +// Input parameters +input int RSIPeriod = 28; // RSI period +input double OverboughtLevel = 60; // Overbought level +input double OversoldLevel = 8; // Oversold level +input int TakeProfitPips = 175; // Take profit in pips +input int StopLossPips = 5; // Stop loss in pips +input double MaxLotSize = 0.1; // Maximum lot size +input int MaxSpread = 1000; // Maximum allowed spread in pips +input int MaxDuration = 270; // Maximum trade duration in hours +input bool UseStopLoss = false; // Use stop loss +input bool UseTakeProfit = false; // Use take profit +input bool UseRSIExit = true; // Use RSI for exit +input double RSIExitLevel = 55; // RSI level to exit (50 = neutral) +input bool CloseOutsideSession = false; // Close trades outside Asian session +input color PanelBackground = clrBlack; // Panel background color +input color PanelText = clrWhite; // Panel text color +input int PanelX = 10; // Panel X position +input int PanelY = 20; // Panel Y position + +// Global variables +CTrade trade; +int rsiHandle; +bool isPositionOpen = false; +double positionOpenPrice = 0; +datetime positionOpenTime = 0; +ENUM_POSITION_TYPE lastPositionType = POSITION_TYPE_BUY; +bool sessionCloseAttempted = false; // Track if we've attempted to close positions for current session + +// RSI crossover variables +double rsiCurrent = 0; +double rsiPrevious = 0; +double rsiPrevious2 = 0; +bool rsiCrossedOverbought = false; +bool rsiCrossedOversold = false; +bool rsiCrossedExitLevel = false; + +// Panel objects +string panelName = "RSIPanel"; +int panelWidth = 200; +int panelHeight = 200; +int labelHeight = 20; +int labelSpacing = 5; + +// Session times (UTC) +const int AsianSessionStart = 0; // 00:00 UTC +const int AsianSessionEnd = 8; // 08:00 UTC + +//+------------------------------------------------------------------+ +//| Create panel | +//+------------------------------------------------------------------+ +void CreatePanel() +{ + // Create panel background + ObjectCreate(0, panelName, OBJ_RECTANGLE_LABEL, 0, 0, 0); + ObjectSetInteger(0, panelName, OBJPROP_XDISTANCE, PanelX); + ObjectSetInteger(0, panelName, OBJPROP_YDISTANCE, PanelY); + ObjectSetInteger(0, panelName, OBJPROP_XSIZE, panelWidth); + ObjectSetInteger(0, panelName, OBJPROP_YSIZE, panelHeight); + ObjectSetInteger(0, panelName, OBJPROP_BGCOLOR, PanelBackground); + ObjectSetInteger(0, panelName, OBJPROP_BORDER_TYPE, BORDER_FLAT); + ObjectSetInteger(0, panelName, OBJPROP_CORNER, CORNER_LEFT_UPPER); + ObjectSetInteger(0, panelName, OBJPROP_COLOR, PanelText); + ObjectSetInteger(0, panelName, OBJPROP_STYLE, STYLE_SOLID); + ObjectSetInteger(0, panelName, OBJPROP_WIDTH, 1); + ObjectSetInteger(0, panelName, OBJPROP_BACK, false); + ObjectSetInteger(0, panelName, OBJPROP_SELECTABLE, false); + ObjectSetInteger(0, panelName, OBJPROP_SELECTED, false); + ObjectSetInteger(0, panelName, OBJPROP_HIDDEN, true); + ObjectSetInteger(0, panelName, OBJPROP_ZORDER, 0); + + // Create title label + ObjectCreate(0, panelName + "Title", OBJ_LABEL, 0, 0, 0); + ObjectSetInteger(0, panelName + "Title", OBJPROP_XDISTANCE, PanelX + 5); + ObjectSetInteger(0, panelName + "Title", OBJPROP_YDISTANCE, PanelY + 5); + ObjectSetInteger(0, panelName + "Title", OBJPROP_CORNER, CORNER_LEFT_UPPER); + ObjectSetString(0, panelName + "Title", OBJPROP_TEXT, "RSI Reversal"); + ObjectSetInteger(0, panelName + "Title", OBJPROP_COLOR, PanelText); + ObjectSetInteger(0, panelName + "Title", OBJPROP_FONTSIZE, 10); + + // Create score labels + CreateScoreLabel("RSI", "RSI: ", 0); + CreateScoreLabel("Position", "Position: ", 1); + CreateScoreLabel("Spread", "Spread: ", 2); + CreateScoreLabel("Session", "Session: ", 3); + CreateScoreLabel("SL", "Stop Loss: ", 4); + CreateScoreLabel("TP", "Take Profit: ", 5); + CreateScoreLabel("Cross", "Cross: ", 6); +} + +//+------------------------------------------------------------------+ +//| Create score label | +//+------------------------------------------------------------------+ +void CreateScoreLabel(string name, string text, int index) +{ + ObjectCreate(0, panelName + name, OBJ_LABEL, 0, 0, 0); + ObjectSetInteger(0, panelName + name, OBJPROP_XDISTANCE, PanelX + 5); + ObjectSetInteger(0, panelName + name, OBJPROP_YDISTANCE, PanelY + 30 + index * (labelHeight + labelSpacing)); + ObjectSetInteger(0, panelName + name, OBJPROP_CORNER, CORNER_LEFT_UPPER); + ObjectSetString(0, panelName + name, OBJPROP_TEXT, text); + ObjectSetInteger(0, panelName + name, OBJPROP_COLOR, PanelText); + ObjectSetInteger(0, panelName + name, OBJPROP_FONTSIZE, 8); +} + +//+------------------------------------------------------------------+ +//| Update panel values | +//+------------------------------------------------------------------+ +void UpdatePanel(double rsi, string position, int spread, string session, double sl, double tp, string crossInfo) +{ + ObjectSetString(0, panelName + "RSI", OBJPROP_TEXT, "RSI: " + DoubleToString(rsi, 2)); + ObjectSetString(0, panelName + "Position", OBJPROP_TEXT, "Position: " + position); + ObjectSetString(0, panelName + "Spread", OBJPROP_TEXT, "Spread: " + IntegerToString(spread) + " pips"); + ObjectSetString(0, panelName + "Session", OBJPROP_TEXT, "Session: " + session); + ObjectSetString(0, panelName + "SL", OBJPROP_TEXT, "Stop Loss: " + IntegerToString(StopLossPips) + " pips"); + ObjectSetString(0, panelName + "TP", OBJPROP_TEXT, "Take Profit: " + IntegerToString(TakeProfitPips) + " pips"); + ObjectSetString(0, panelName + "Cross", OBJPROP_TEXT, "Cross: " + crossInfo); +} + +//+------------------------------------------------------------------+ +//| Check if current time is in Asian session | +//+------------------------------------------------------------------+ +bool IsAsianSession() +{ + datetime currentTime = TimeCurrent(); + MqlDateTime timeStruct; + TimeToStruct(currentTime, timeStruct); + + return (timeStruct.hour >= AsianSessionStart && timeStruct.hour < AsianSessionEnd); +} + +//+------------------------------------------------------------------+ +//| Get current session name | +//+------------------------------------------------------------------+ +string GetCurrentSession() +{ + datetime currentTime = TimeCurrent(); + MqlDateTime timeStruct; + TimeToStruct(currentTime, timeStruct); + + if(timeStruct.hour >= AsianSessionStart && timeStruct.hour < AsianSessionEnd) + return "Asian"; + else if(timeStruct.hour >= 8 && timeStruct.hour < 16) + return "London"; + else if(timeStruct.hour >= 13 && timeStruct.hour < 21) + return "New York"; + else + return "Other"; +} + +//+------------------------------------------------------------------+ +//| Check if trading is allowed | +//+------------------------------------------------------------------+ +bool IsTradingAllowed() +{ + // Check if market is open + if(!SymbolInfoInteger(_Symbol, SYMBOL_TRADE_MODE) == SYMBOL_TRADE_MODE_FULL) + { + return false; + } + + // Check if we have enough money + if(AccountInfoDouble(ACCOUNT_MARGIN_FREE) <= 0) + { + return false; + } + + return true; +} + +//+------------------------------------------------------------------+ +//| Check RSI crossover conditions | +//+------------------------------------------------------------------+ +void CheckRSICrossover() +{ + // Reset crossover flags + rsiCrossedOverbought = false; + rsiCrossedOversold = false; + rsiCrossedExitLevel = false; + + // Check for overbought crossover (RSI crosses above overbought level) + if(rsiPrevious < OverboughtLevel && rsiCurrent >= OverboughtLevel) + { + rsiCrossedOverbought = true; + } + + // Check for oversold crossover (RSI crosses below oversold level) + if(rsiPrevious > OversoldLevel && rsiCurrent <= OversoldLevel) + { + rsiCrossedOversold = true; + } + + // Check for exit level crossover + if(rsiPrevious < RSIExitLevel && rsiCurrent >= RSIExitLevel) + { + rsiCrossedExitLevel = true; + } + else if(rsiPrevious > RSIExitLevel && rsiCurrent <= RSIExitLevel) + { + rsiCrossedExitLevel = true; + } +} + +//+------------------------------------------------------------------+ +//| Expert initialization function | +//+------------------------------------------------------------------+ +int OnInit() +{ + // Initialize RSI indicator + rsiHandle = iRSI(_Symbol, PERIOD_M15, RSIPeriod, PRICE_CLOSE); + + if(rsiHandle == INVALID_HANDLE) + { + return(INIT_FAILED); + } + + // Wait a bit for the indicator to be ready + Sleep(100); + + // Initialize RSI values with retry logic + double rsi[]; + ArraySetAsSeries(rsi, true); + + int retryCount = 0; + bool rsiInitialized = false; + + while(retryCount < 10 && !rsiInitialized) + { + int copied = CopyBuffer(rsiHandle, 0, 0, 3, rsi); + if(copied >= 3) + { + rsiCurrent = rsi[0]; + rsiPrevious = rsi[1]; + rsiPrevious2 = rsi[2]; + rsiInitialized = true; + } + else + { + retryCount++; + Sleep(100); + } + } + + if(!rsiInitialized) + { + // Don't fail initialization, just set default values + rsiCurrent = 50.0; + rsiPrevious = 50.0; + rsiPrevious2 = 50.0; + } + + // Create panel + CreatePanel(); + + return(INIT_SUCCEEDED); +} + +//+------------------------------------------------------------------+ +//| Expert deinitialization function | +//+------------------------------------------------------------------+ +void OnDeinit(const int reason) +{ + // Release indicator handles + IndicatorRelease(rsiHandle); + + // Remove panel objects + ObjectsDeleteAll(0, panelName); +} + +//+------------------------------------------------------------------+ +//| Close all trades for the current symbol | +//+------------------------------------------------------------------+ +bool CloseAllTrades(string reason = "") +{ + bool allClosed = true; + int totalPositions = PositionsTotal(); + + if(totalPositions == 0) + return true; + + // Check if there are any positions with our magic number + bool hasOurPositions = false; + for(int i = 0; i < totalPositions; i++) + { + if(PositionGetSymbol(i) == _Symbol && PositionGetInteger(POSITION_MAGIC) == 123456) + { + hasOurPositions = true; + break; + } + } + + for(int i = totalPositions - 1; i >= 0; i--) + { + if(PositionGetSymbol(i) == _Symbol) + { + // Try to close position with retry logic + int retryCount = 0; + bool positionClosed = false; + + while(retryCount < 3 && !positionClosed) + { + if(trade.PositionClose(_Symbol)) + { + isPositionOpen = false; + positionClosed = true; + } + else + { + int error = GetLastError(); + + // If error is 4756 (Trade disabled), wait longer before retry + if(error == 4756) + { + Sleep(5000); // Wait 5 seconds before retry + retryCount++; + } + else + { + // For other errors, break the loop + break; + } + } + } + + if(!positionClosed) + { + allClosed = false; + } + } + } + + return allClosed; +} + +//+------------------------------------------------------------------+ +//| Expert tick function | +//+------------------------------------------------------------------+ +void OnTick() +{ + // Check if trading is allowed + if(!IsTradingAllowed()) + { + return; + } + + // Check if we're in Asian session + if(!IsAsianSession()) + { + // Close all positions if outside Asian session and CloseOutsideSession is true + if(CloseOutsideSession && !sessionCloseAttempted) + { + CloseAllTrades("Outside Asian session"); + sessionCloseAttempted = true; + } + return; + } + else + { + // Reset the session close attempt flag when we enter Asian session + sessionCloseAttempted = false; + } + + // Get current spread + double spread = SymbolInfoDouble(_Symbol, SYMBOL_ASK) - SymbolInfoDouble(_Symbol, SYMBOL_BID); + int spreadInPips = (int)(spread / _Point); + + // Check if spread is too high + if(spreadInPips > MaxSpread) + { + return; + } + + // Get RSI values from bar data + double rsi[]; + ArraySetAsSeries(rsi, true); + + int copied = CopyBuffer(rsiHandle, 0, 0, 3, rsi); + if(copied < 3) + { + return; + } + + // Update RSI values + rsiPrevious2 = rsiPrevious; + rsiPrevious = rsiCurrent; + rsiCurrent = rsi[0]; + + // Validate RSI values + if(rsiCurrent == 0 || rsiPrevious == 0) + { + return; + } + + // Check for RSI crossovers + CheckRSICrossover(); + + // Get current prices + double currentBid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + double currentAsk = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + + // Get position status + string positionStatus = "None"; + for(int i = 0; i < PositionsTotal(); i++) + { + if(PositionGetSymbol(i) == _Symbol) + { + ENUM_POSITION_TYPE posType = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); + positionStatus = (posType == POSITION_TYPE_BUY) ? "Long" : "Short"; + break; + } + } + + // Calculate stop loss and take profit levels + double sl = 0; + double tp = 0; + + // Prepare crossover info for panel + string crossInfo = "None"; + if(rsiCrossedOverbought) crossInfo = "Overbought"; + else if(rsiCrossedOversold) crossInfo = "Oversold"; + else if(rsiCrossedExitLevel) crossInfo = "Exit"; + + // Update panel + UpdatePanel(rsiCurrent, positionStatus, spreadInPips, GetCurrentSession(), sl, tp, crossInfo); + + // Check for open position + bool hasOpenPosition = false; + for(int i = 0; i < PositionsTotal(); i++) + { + if(PositionGetSymbol(i) == _Symbol) + { + hasOpenPosition = true; + + // Get position details + double positionProfit = PositionGetDouble(POSITION_PROFIT); + double positionVolume = PositionGetDouble(POSITION_VOLUME); + double openPrice = PositionGetDouble(POSITION_PRICE_OPEN); + ENUM_POSITION_TYPE posType = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); + + // Check for RSI exit if enabled + if(UseRSIExit && rsiCrossedExitLevel) + { + bool shouldExit = false; + + // For long positions, exit when RSI crosses above exit level + if(posType == POSITION_TYPE_BUY && rsiCurrent >= RSIExitLevel && rsiPrevious < RSIExitLevel) + { + shouldExit = true; + } + // For short positions, exit when RSI crosses below exit level + else if(posType == POSITION_TYPE_SELL && rsiCurrent <= RSIExitLevel && rsiPrevious > RSIExitLevel) + { + shouldExit = true; + } + + if(shouldExit) + { + CloseAllTrades("RSI Exit Crossover"); + return; + } + } + + // Check for timeout + if(TimeCurrent() - positionOpenTime > MaxDuration * 3600) + { + CloseAllTrades("Timeout"); + return; + } + + break; + } + } + + // If no position is open, look for entry signals based on RSI crossover + if(!hasOpenPosition) + { + // Place buy order if RSI crosses below oversold level (oversold crossover) + if(rsiCrossedOversold) + { + double sl = UseStopLoss ? currentBid - StopLossPips * _Point : 0; + double tp = UseTakeProfit ? currentBid + TakeProfitPips * _Point : 0; + + if(UseStopLoss && sl >= currentBid) + return; + if(UseTakeProfit && tp <= currentBid) + return; + + // Set trade parameters + trade.SetDeviationInPoints(3); + trade.SetTypeFilling(ORDER_FILLING_IOC); + trade.SetExpertMagicNumber(123456); + + // Place buy order using CTrade + if(trade.Buy(MaxLotSize, _Symbol, currentAsk, sl, tp, "RSI Oversold Crossover Buy")) + { + isPositionOpen = true; + positionOpenPrice = currentAsk; + positionOpenTime = TimeCurrent(); + lastPositionType = POSITION_TYPE_BUY; + } + } + // Place sell order if RSI crosses above overbought level (overbought crossover) + else if(rsiCrossedOverbought) + { + double sl = UseStopLoss ? currentAsk + StopLossPips * _Point : 0; + double tp = UseTakeProfit ? currentAsk - TakeProfitPips * _Point : 0; + + if(UseStopLoss && sl <= currentAsk) + return; + if(UseTakeProfit && tp >= currentAsk) + return; + + // Set trade parameters + trade.SetDeviationInPoints(3); + trade.SetTypeFilling(ORDER_FILLING_IOC); + trade.SetExpertMagicNumber(123456); + + // Place sell order using CTrade + if(trade.Sell(MaxLotSize, _Symbol, currentBid, sl, tp, "RSI Overbought Crossover Sell")) + { + isPositionOpen = true; + positionOpenPrice = currentBid; + positionOpenTime = TimeCurrent(); + lastPositionType = POSITION_TYPE_SELL; + } + } + } +} \ No newline at end of file diff --git a/frontline/units_economic_calendar/RSIReversalAsianGBPUSD/RSIReversalAsianAUDUSD_Genetic_Optimization.set b/frontline/units_economic_calendar/RSIReversalAsianGBPUSD/RSIReversalAsianAUDUSD_Genetic_Optimization.set new file mode 100644 index 0000000..9fbe5fe --- /dev/null +++ b/frontline/units_economic_calendar/RSIReversalAsianGBPUSD/RSIReversalAsianAUDUSD_Genetic_Optimization.set @@ -0,0 +1,23 @@ +; RSIReversalAsianAUDUSD/main.mq5 — Strategy Tester → Inputs → Load (Genetic optimization) +; Format: Parameter=Current||Start||Step||Stop||Optimize(Y/N) +; Baseline aligned with current input defaults and Desktop 123.set-style ranges (2026.05.13). +; +; Core RSI / exits +RSIPeriod=28||14||2||40||Y +OverboughtLevel=68.0||55.0||1.0||80.0||Y +OversoldLevel=30.0||18.0||1.0||42.0||Y +TakeProfitPips=175||50||25||350||Y +StopLossPips=5||5||5||80||Y +MaxLotSize=0.2||0.01||0.01||0.2||N +MaxSpread=1000||200||100||2000||Y +MaxDuration=340||48||24||720||Y +UseStopLoss=false||false||0||true||N +UseTakeProfit=false||false||0||true||N +UseRSIExit=true||false||0||true||N +RSIExitLevel=48.0||40.0||1.0||55.0||Y +CloseOutsideSession=true||false||0||true||Y +; Panel (usually fixed; colors as in MT5 saved sets) +PanelBackground=0 +PanelText=16777215 +PanelX=10||10||1||100||N +PanelY=20||20||1||200||N diff --git a/frontline/units_economic_calendar/RSIReversalAsianGBPUSD/main.mq5 b/frontline/units_economic_calendar/RSIReversalAsianGBPUSD/main.mq5 new file mode 100644 index 0000000..6ac07bd --- /dev/null +++ b/frontline/units_economic_calendar/RSIReversalAsianGBPUSD/main.mq5 @@ -0,0 +1,539 @@ +//+------------------------------------------------------------------+ +//| RSIReversalAsianGBPUSD.mq5 | +//| Copyright 2024, MetaQuotes Ltd. | +//| https://www.mql5.com | +//+------------------------------------------------------------------+ +#property copyright "Copyright 2024, MetaQuotes Ltd." +#property link "https://www.mql5.com" +#property version "1.00" +#property strict + +// Include trade class +#include + +// Input parameters (defaults synced from working 123.set 2026.05.13) +input int RSIPeriod = 32; // RSI period +input double OverboughtLevel = 80; // Overbought level +input double OversoldLevel = 37; // Oversold level +input int TakeProfitPips = 225; // Take profit in pips +input int StopLossPips = 45; // Stop loss in pips +input double MaxLotSize = 0.2; // Maximum lot size +input int MaxSpread = 1800; // Maximum allowed spread in pips +input int MaxDuration = 480; // Maximum trade duration in hours +input bool UseStopLoss = false; // Use stop loss +input bool UseTakeProfit = false; // Use take profit +input bool UseRSIExit = true; // Use RSI for exit +input double RSIExitLevel = 43; // RSI level to exit (50 = neutral) +input bool CloseOutsideSession = true; // Close trades outside Asian session +input color PanelBackground = clrBlack; // Panel background color +input color PanelText = clrWhite; // Panel text color +input int PanelX = 10; // Panel X position +input int PanelY = 20; // Panel Y position + +// Global variables +CTrade trade; +int rsiHandle; +bool isPositionOpen = false; +double positionOpenPrice = 0; +datetime positionOpenTime = 0; +ENUM_POSITION_TYPE lastPositionType = POSITION_TYPE_BUY; +bool sessionCloseAttempted = false; // Track if we've attempted to close positions for current session + +// RSI crossover variables +double rsiCurrent = 0; +double rsiPrevious = 0; +double rsiPrevious2 = 0; +bool rsiCrossedOverbought = false; +bool rsiCrossedOversold = false; +bool rsiCrossedExitLevel = false; + +// Panel objects +string panelName = "RSIPanel"; +int panelWidth = 200; +int panelHeight = 200; +int labelHeight = 20; +int labelSpacing = 5; + +// Session times (UTC) +const int AsianSessionStart = 0; // 00:00 UTC +const int AsianSessionEnd = 8; // 08:00 UTC + +//+------------------------------------------------------------------+ +//| Create panel | +//+------------------------------------------------------------------+ +void CreatePanel() +{ + // Create panel background + ObjectCreate(0, panelName, OBJ_RECTANGLE_LABEL, 0, 0, 0); + ObjectSetInteger(0, panelName, OBJPROP_XDISTANCE, PanelX); + ObjectSetInteger(0, panelName, OBJPROP_YDISTANCE, PanelY); + ObjectSetInteger(0, panelName, OBJPROP_XSIZE, panelWidth); + ObjectSetInteger(0, panelName, OBJPROP_YSIZE, panelHeight); + ObjectSetInteger(0, panelName, OBJPROP_BGCOLOR, PanelBackground); + ObjectSetInteger(0, panelName, OBJPROP_BORDER_TYPE, BORDER_FLAT); + ObjectSetInteger(0, panelName, OBJPROP_CORNER, CORNER_LEFT_UPPER); + ObjectSetInteger(0, panelName, OBJPROP_COLOR, PanelText); + ObjectSetInteger(0, panelName, OBJPROP_STYLE, STYLE_SOLID); + ObjectSetInteger(0, panelName, OBJPROP_WIDTH, 1); + ObjectSetInteger(0, panelName, OBJPROP_BACK, false); + ObjectSetInteger(0, panelName, OBJPROP_SELECTABLE, false); + ObjectSetInteger(0, panelName, OBJPROP_SELECTED, false); + ObjectSetInteger(0, panelName, OBJPROP_HIDDEN, true); + ObjectSetInteger(0, panelName, OBJPROP_ZORDER, 0); + + // Create title label + ObjectCreate(0, panelName + "Title", OBJ_LABEL, 0, 0, 0); + ObjectSetInteger(0, panelName + "Title", OBJPROP_XDISTANCE, PanelX + 5); + ObjectSetInteger(0, panelName + "Title", OBJPROP_YDISTANCE, PanelY + 5); + ObjectSetInteger(0, panelName + "Title", OBJPROP_CORNER, CORNER_LEFT_UPPER); + ObjectSetString(0, panelName + "Title", OBJPROP_TEXT, "RSI Reversal"); + ObjectSetInteger(0, panelName + "Title", OBJPROP_COLOR, PanelText); + ObjectSetInteger(0, panelName + "Title", OBJPROP_FONTSIZE, 10); + + // Create score labels + CreateScoreLabel("RSI", "RSI: ", 0); + CreateScoreLabel("Position", "Position: ", 1); + CreateScoreLabel("Spread", "Spread: ", 2); + CreateScoreLabel("Session", "Session: ", 3); + CreateScoreLabel("SL", "Stop Loss: ", 4); + CreateScoreLabel("TP", "Take Profit: ", 5); + CreateScoreLabel("Cross", "Cross: ", 6); +} + +//+------------------------------------------------------------------+ +//| Create score label | +//+------------------------------------------------------------------+ +void CreateScoreLabel(string name, string text, int index) +{ + ObjectCreate(0, panelName + name, OBJ_LABEL, 0, 0, 0); + ObjectSetInteger(0, panelName + name, OBJPROP_XDISTANCE, PanelX + 5); + ObjectSetInteger(0, panelName + name, OBJPROP_YDISTANCE, PanelY + 30 + index * (labelHeight + labelSpacing)); + ObjectSetInteger(0, panelName + name, OBJPROP_CORNER, CORNER_LEFT_UPPER); + ObjectSetString(0, panelName + name, OBJPROP_TEXT, text); + ObjectSetInteger(0, panelName + name, OBJPROP_COLOR, PanelText); + ObjectSetInteger(0, panelName + name, OBJPROP_FONTSIZE, 8); +} + +//+------------------------------------------------------------------+ +//| Update panel values | +//+------------------------------------------------------------------+ +void UpdatePanel(double rsi, string position, int spread, string session, double sl, double tp, string crossInfo) +{ + ObjectSetString(0, panelName + "RSI", OBJPROP_TEXT, "RSI: " + DoubleToString(rsi, 2)); + ObjectSetString(0, panelName + "Position", OBJPROP_TEXT, "Position: " + position); + ObjectSetString(0, panelName + "Spread", OBJPROP_TEXT, "Spread: " + IntegerToString(spread) + " pips"); + ObjectSetString(0, panelName + "Session", OBJPROP_TEXT, "Session: " + session); + ObjectSetString(0, panelName + "SL", OBJPROP_TEXT, "Stop Loss: " + IntegerToString(StopLossPips) + " pips"); + ObjectSetString(0, panelName + "TP", OBJPROP_TEXT, "Take Profit: " + IntegerToString(TakeProfitPips) + " pips"); + ObjectSetString(0, panelName + "Cross", OBJPROP_TEXT, "Cross: " + crossInfo); +} + +//+------------------------------------------------------------------+ +//| Check if current time is in Asian session | +//+------------------------------------------------------------------+ +bool IsAsianSession() +{ + datetime currentTime = TimeCurrent(); + MqlDateTime timeStruct; + TimeToStruct(currentTime, timeStruct); + + return (timeStruct.hour >= AsianSessionStart && timeStruct.hour < AsianSessionEnd); +} + +//+------------------------------------------------------------------+ +//| Get current session name | +//+------------------------------------------------------------------+ +string GetCurrentSession() +{ + datetime currentTime = TimeCurrent(); + MqlDateTime timeStruct; + TimeToStruct(currentTime, timeStruct); + + if(timeStruct.hour >= AsianSessionStart && timeStruct.hour < AsianSessionEnd) + return "Asian"; + else if(timeStruct.hour >= 8 && timeStruct.hour < 16) + return "London"; + else if(timeStruct.hour >= 13 && timeStruct.hour < 21) + return "New York"; + else + return "Other"; +} + +//+------------------------------------------------------------------+ +//| Check if trading is allowed | +//+------------------------------------------------------------------+ +bool IsTradingAllowed() +{ + // Check if market is open + if(!SymbolInfoInteger(_Symbol, SYMBOL_TRADE_MODE) == SYMBOL_TRADE_MODE_FULL) + { + return false; + } + + // Check if we have enough money + if(AccountInfoDouble(ACCOUNT_MARGIN_FREE) <= 0) + { + return false; + } + + return true; +} + +//+------------------------------------------------------------------+ +//| Check RSI crossover conditions | +//+------------------------------------------------------------------+ +void CheckRSICrossover() +{ + // Reset crossover flags + rsiCrossedOverbought = false; + rsiCrossedOversold = false; + rsiCrossedExitLevel = false; + + // Check for overbought crossover (RSI crosses above overbought level) + if(rsiPrevious < OverboughtLevel && rsiCurrent >= OverboughtLevel) + { + rsiCrossedOverbought = true; + } + + // Check for oversold crossover (RSI crosses below oversold level) + if(rsiPrevious > OversoldLevel && rsiCurrent <= OversoldLevel) + { + rsiCrossedOversold = true; + } + + // Check for exit level crossover + if(rsiPrevious < RSIExitLevel && rsiCurrent >= RSIExitLevel) + { + rsiCrossedExitLevel = true; + } + else if(rsiPrevious > RSIExitLevel && rsiCurrent <= RSIExitLevel) + { + rsiCrossedExitLevel = true; + } +} + +//+------------------------------------------------------------------+ +//| Expert initialization function | +//+------------------------------------------------------------------+ +int OnInit() +{ + // Initialize RSI indicator + rsiHandle = iRSI(_Symbol, PERIOD_M15, RSIPeriod, PRICE_CLOSE); + + if(rsiHandle == INVALID_HANDLE) + { + return(INIT_FAILED); + } + + // Wait a bit for the indicator to be ready + Sleep(100); + + // Initialize RSI values with retry logic + double rsi[]; + ArraySetAsSeries(rsi, true); + + int retryCount = 0; + bool rsiInitialized = false; + + while(retryCount < 10 && !rsiInitialized) + { + int copied = CopyBuffer(rsiHandle, 0, 0, 3, rsi); + if(copied >= 3) + { + rsiCurrent = rsi[0]; + rsiPrevious = rsi[1]; + rsiPrevious2 = rsi[2]; + rsiInitialized = true; + } + else + { + retryCount++; + Sleep(100); + } + } + + if(!rsiInitialized) + { + // Don't fail initialization, just set default values + rsiCurrent = 50.0; + rsiPrevious = 50.0; + rsiPrevious2 = 50.0; + } + + // Create panel + CreatePanel(); + + return(INIT_SUCCEEDED); +} + +//+------------------------------------------------------------------+ +//| Expert deinitialization function | +//+------------------------------------------------------------------+ +void OnDeinit(const int reason) +{ + // Release indicator handles + IndicatorRelease(rsiHandle); + + // Remove panel objects + ObjectsDeleteAll(0, panelName); +} + +//+------------------------------------------------------------------+ +//| Close all trades for the current symbol | +//+------------------------------------------------------------------+ +bool CloseAllTrades(string reason = "") +{ + bool allClosed = true; + int totalPositions = PositionsTotal(); + + if(totalPositions == 0) + return true; + + // Check if there are any positions with our magic number + bool hasOurPositions = false; + for(int i = 0; i < totalPositions; i++) + { + if(PositionGetSymbol(i) == _Symbol && PositionGetInteger(POSITION_MAGIC) == 123456) + { + hasOurPositions = true; + break; + } + } + + for(int i = totalPositions - 1; i >= 0; i--) + { + if(PositionGetSymbol(i) == _Symbol) + { + // Try to close position with retry logic + int retryCount = 0; + bool positionClosed = false; + + while(retryCount < 3 && !positionClosed) + { + if(trade.PositionClose(_Symbol)) + { + isPositionOpen = false; + positionClosed = true; + } + else + { + int error = GetLastError(); + + // If error is 4756 (Trade disabled), wait longer before retry + if(error == 4756) + { + Sleep(5000); // Wait 5 seconds before retry + retryCount++; + } + else + { + // For other errors, break the loop + break; + } + } + } + + if(!positionClosed) + { + allClosed = false; + } + } + } + + return allClosed; +} + +//+------------------------------------------------------------------+ +//| Expert tick function | +//+------------------------------------------------------------------+ +void OnTick() +{ + // Check if trading is allowed + if(!IsTradingAllowed()) + { + return; + } + + // Check if we're in Asian session + if(!IsAsianSession()) + { + // Close all positions if outside Asian session and CloseOutsideSession is true + if(CloseOutsideSession && !sessionCloseAttempted) + { + CloseAllTrades("Outside Asian session"); + sessionCloseAttempted = true; + } + return; + } + else + { + // Reset the session close attempt flag when we enter Asian session + sessionCloseAttempted = false; + } + + // Get current spread + double spread = SymbolInfoDouble(_Symbol, SYMBOL_ASK) - SymbolInfoDouble(_Symbol, SYMBOL_BID); + int spreadInPips = (int)(spread / _Point); + + // Check if spread is too high + if(spreadInPips > MaxSpread) + { + return; + } + + // Get RSI values from bar data + double rsi[]; + ArraySetAsSeries(rsi, true); + + int copied = CopyBuffer(rsiHandle, 0, 0, 3, rsi); + if(copied < 3) + { + return; + } + + // Update RSI values + rsiPrevious2 = rsiPrevious; + rsiPrevious = rsiCurrent; + rsiCurrent = rsi[0]; + + // Validate RSI values + if(rsiCurrent == 0 || rsiPrevious == 0) + { + return; + } + + // Check for RSI crossovers + CheckRSICrossover(); + + // Get current prices + double currentBid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + double currentAsk = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + + // Get position status + string positionStatus = "None"; + for(int i = 0; i < PositionsTotal(); i++) + { + if(PositionGetSymbol(i) == _Symbol) + { + ENUM_POSITION_TYPE posType = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); + positionStatus = (posType == POSITION_TYPE_BUY) ? "Long" : "Short"; + break; + } + } + + // Calculate stop loss and take profit levels + double sl = 0; + double tp = 0; + + // Prepare crossover info for panel + string crossInfo = "None"; + if(rsiCrossedOverbought) crossInfo = "Overbought"; + else if(rsiCrossedOversold) crossInfo = "Oversold"; + else if(rsiCrossedExitLevel) crossInfo = "Exit"; + + // Update panel + UpdatePanel(rsiCurrent, positionStatus, spreadInPips, GetCurrentSession(), sl, tp, crossInfo); + + // Check for open position + bool hasOpenPosition = false; + for(int i = 0; i < PositionsTotal(); i++) + { + if(PositionGetSymbol(i) == _Symbol) + { + hasOpenPosition = true; + + // Get position details + double positionProfit = PositionGetDouble(POSITION_PROFIT); + double positionVolume = PositionGetDouble(POSITION_VOLUME); + double openPrice = PositionGetDouble(POSITION_PRICE_OPEN); + ENUM_POSITION_TYPE posType = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); + + // Check for RSI exit if enabled + if(UseRSIExit && rsiCrossedExitLevel) + { + bool shouldExit = false; + + // For long positions, exit when RSI crosses above exit level + if(posType == POSITION_TYPE_BUY && rsiCurrent >= RSIExitLevel && rsiPrevious < RSIExitLevel) + { + shouldExit = true; + } + // For short positions, exit when RSI crosses below exit level + else if(posType == POSITION_TYPE_SELL && rsiCurrent <= RSIExitLevel && rsiPrevious > RSIExitLevel) + { + shouldExit = true; + } + + if(shouldExit) + { + CloseAllTrades("RSI Exit Crossover"); + return; + } + } + + // Check for timeout + if(TimeCurrent() - positionOpenTime > MaxDuration * 3600) + { + CloseAllTrades("Timeout"); + return; + } + + break; + } + } + + // If no position is open, look for entry signals based on RSI crossover + if(!hasOpenPosition) + { + // Place buy order if RSI crosses below oversold level (oversold crossover) + if(rsiCrossedOversold) + { + double sl = UseStopLoss ? currentBid - StopLossPips * _Point : 0; + double tp = UseTakeProfit ? currentBid + TakeProfitPips * _Point : 0; + + if(UseStopLoss && sl >= currentBid) + return; + if(UseTakeProfit && tp <= currentBid) + return; + + // Set trade parameters + trade.SetDeviationInPoints(3); + trade.SetTypeFilling(ORDER_FILLING_IOC); + trade.SetExpertMagicNumber(123456); + + // Place buy order using CTrade + if(trade.Buy(MaxLotSize, _Symbol, currentAsk, sl, tp, "RSI Oversold Crossover Buy")) + { + isPositionOpen = true; + positionOpenPrice = currentAsk; + positionOpenTime = TimeCurrent(); + lastPositionType = POSITION_TYPE_BUY; + } + } + // Place sell order if RSI crosses above overbought level (overbought crossover) + else if(rsiCrossedOverbought) + { + double sl = UseStopLoss ? currentAsk + StopLossPips * _Point : 0; + double tp = UseTakeProfit ? currentAsk - TakeProfitPips * _Point : 0; + + if(UseStopLoss && sl <= currentAsk) + return; + if(UseTakeProfit && tp >= currentAsk) + return; + + // Set trade parameters + trade.SetDeviationInPoints(3); + trade.SetTypeFilling(ORDER_FILLING_IOC); + trade.SetExpertMagicNumber(123456); + + // Place sell order using CTrade + if(trade.Sell(MaxLotSize, _Symbol, currentBid, sl, tp, "RSI Overbought Crossover Sell")) + { + isPositionOpen = true; + positionOpenPrice = currentBid; + positionOpenTime = TimeCurrent(); + lastPositionType = POSITION_TYPE_SELL; + } + } + } +} \ No newline at end of file diff --git a/frontline/units_economic_calendar/RSIScalpingAPPL/main.mq5 b/frontline/units_economic_calendar/RSIScalpingAPPL/main.mq5 new file mode 100644 index 0000000..152fa54 --- /dev/null +++ b/frontline/units_economic_calendar/RSIScalpingAPPL/main.mq5 @@ -0,0 +1,327 @@ +//+------------------------------------------------------------------+ +//| RSIScalping.mq5 | +//| Copyright 2025, MetaQuotes Ltd. | +//| https://www.mql5.com | +//+------------------------------------------------------------------+ +#property copyright "Copyright 2025, MetaQuotes Ltd." +#property link "https://www.mql5.com" +#property version "1.00" + +#include +#include "../_united/MagicNumberHelpers.mqh" + +//--- Input parameters +input ENUM_TIMEFRAMES TimeFrame = PERIOD_M10; // Timeframe for Analysis +input int RSI_Period = 14; // RSI Period +input ENUM_APPLIED_PRICE RSI_Applied_Price = PRICE_CLOSE; // RSI Applied Price +input double RSI_Overbought = 80; // RSI Overbought Level +input double RSI_Oversold = 78; // RSI Oversold Level +input double RSI_Target_Buy = 94; // RSI Target for Buy Exit +input double RSI_Target_Sell = 44; // RSI Target for Sell Exit +input int BarsToWait = 7; // Bars to wait when RSI goes against position +input double LotSize = 25; // Lot Size +input int MagicNumber = 12345; // Magic Number +input int Slippage = 3; // Slippage in points + +//--- Global variables +CTrade trade; +int rsi_handle; +double rsi_buffer[]; +double rsi_prev, rsi_current, rsi_two_bars_ago; +bool position_open = false; +int position_ticket = 0; +ENUM_POSITION_TYPE current_position_type = POSITION_TYPE_BUY; +datetime last_bar_time = 0; +bool rsi_against_position = false; +int bars_against_count = 0; + +//+------------------------------------------------------------------+ +//| Expert initialization function | +//+------------------------------------------------------------------+ +int OnInit() +{ + // Initialize RSI indicator + rsi_handle = iRSI(_Symbol, TimeFrame, RSI_Period, RSI_Applied_Price); + if(rsi_handle == INVALID_HANDLE) + { + return(INIT_FAILED); + } + + // Initialize trade object + trade.SetExpertMagicNumber(MagicNumber); + trade.SetDeviationInPoints(Slippage); + trade.SetTypeFilling(ORDER_FILLING_FOK); + + // Allocate arrays + ArraySetAsSeries(rsi_buffer, true); + + return(INIT_SUCCEEDED); +} + +//+------------------------------------------------------------------+ +//| Expert deinitialization function | +//+------------------------------------------------------------------+ +void OnDeinit(const int reason) +{ + if(rsi_handle != INVALID_HANDLE) + IndicatorRelease(rsi_handle); +} + +//+------------------------------------------------------------------+ +//| Expert tick function | +//+------------------------------------------------------------------+ +void OnTick() +{ + // Check if we have enough bars + if(Bars(_Symbol, TimeFrame) < RSI_Period + 2) + { + return; + } + + // Check if this is a new bar + datetime current_bar_time = iTime(_Symbol, TimeFrame, 0); + if(current_bar_time == last_bar_time) + { + return; // Still the same bar, don't process + } + + last_bar_time = current_bar_time; + + // Update RSI values + if(!UpdateRSI()) + { + return; + } + + // Check for existing position + CheckExistingPosition(); + + // Check for new entry signals - only if no position exists for THIS EA (magic number) on THIS symbol + if(!position_open && !PositionExistsByMagic(_Symbol, MagicNumber)) + { + CheckEntrySignals(); + } +} + +//+------------------------------------------------------------------+ +//| Update RSI values | +//+------------------------------------------------------------------+ +bool UpdateRSI() +{ + if(CopyBuffer(rsi_handle, 0, 0, 3, rsi_buffer) < 3) + { + return false; + } + + rsi_current = rsi_buffer[0]; // Current bar + rsi_prev = rsi_buffer[1]; // Previous bar + rsi_two_bars_ago = rsi_buffer[2]; // Two bars ago + + return true; +} + +//+------------------------------------------------------------------+ +//| Check existing position for exit conditions | +//+------------------------------------------------------------------+ +void CheckExistingPosition() +{ + if(!position_open) + { + return; + } + + // Check if position still exists with correct magic number AND symbol for THIS EA + if(!PositionSelectByTicketSymbolAndMagic(position_ticket, _Symbol, MagicNumber)) + { + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + return; + } + + // Exit conditions based on RSI target + if(current_position_type == POSITION_TYPE_BUY) + { + // Check if RSI is against the position (below oversold) + if(rsi_current < RSI_Oversold) + { + if(!rsi_against_position) + { + rsi_against_position = true; + bars_against_count = 1; + } + else + { + bars_against_count++; + } + + // Close position if RSI has been against for Y bars + if(bars_against_count >= BarsToWait) + { + ClosePosition(); + return; + } + } + else + { + // RSI is no longer against the position, reset counter + if(rsi_against_position) + { + rsi_against_position = false; + bars_against_count = 0; + } + + // Exit long position when RSI reaches buy target + if(rsi_current >= RSI_Target_Buy) + { + ClosePosition(); + } + } + } + else if(current_position_type == POSITION_TYPE_SELL) + { + // Check if RSI is against the position (above overbought) + if(rsi_current > RSI_Overbought) + { + if(!rsi_against_position) + { + rsi_against_position = true; + bars_against_count = 1; + } + else + { + bars_against_count++; + } + + // Close position if RSI has been against for Y bars + if(bars_against_count >= BarsToWait) + { + ClosePosition(); + return; + } + } + else + { + // RSI is no longer against the position, reset counter + if(rsi_against_position) + { + rsi_against_position = false; + bars_against_count = 0; + } + + // Exit short position when RSI reaches sell target + if(rsi_current <= RSI_Target_Sell) + { + ClosePosition(); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Check for entry signals | +//+------------------------------------------------------------------+ +void CheckEntrySignals() +{ + // Buy signal: RSI crosses from oversold to above oversold (checking the actual crossover) + if(rsi_two_bars_ago <= RSI_Oversold && rsi_prev > RSI_Oversold) + { + OpenBuyPosition(); + } + + // Sell signal: RSI crosses from overbought to below overbought (checking the actual crossover) + if(rsi_two_bars_ago >= RSI_Overbought && rsi_prev < RSI_Overbought) + { + OpenSellPosition(); + } +} + +//+------------------------------------------------------------------+ +//| Open buy position | +//+------------------------------------------------------------------+ +void OpenBuyPosition() +{ + // Verify no position exists for THIS EA (magic number) on THIS symbol before opening + if(PositionExistsByMagic(_Symbol, MagicNumber)) + { + return; // Position already exists for this EA + } + + double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + + if(trade.Buy(LotSize, _Symbol, ask, 0, 0, "RSI Scalping Buy")) + { + ulong new_ticket = trade.ResultOrder(); + if(new_ticket > 0) + { + // Verify position was opened for THIS EA (magic number) on THIS symbol + if(PositionSelectByTicketSymbolAndMagic(new_ticket, _Symbol, MagicNumber)) + { + position_ticket = new_ticket; + position_open = true; + current_position_type = POSITION_TYPE_BUY; + } + else + { + Print("Error: Position opened but doesn't match EA magic number or symbol"); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Open sell position | +//+------------------------------------------------------------------+ +void OpenSellPosition() +{ + // Verify no position exists for THIS EA (magic number) on THIS symbol before opening + if(PositionExistsByMagic(_Symbol, MagicNumber)) + { + return; // Position already exists for this EA + } + + double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + + if(trade.Sell(LotSize, _Symbol, bid, 0, 0, "RSI Scalping Sell")) + { + ulong new_ticket = trade.ResultOrder(); + if(new_ticket > 0) + { + // Verify position was opened for THIS EA (magic number) on THIS symbol + if(PositionSelectByTicketSymbolAndMagic(new_ticket, _Symbol, MagicNumber)) + { + position_ticket = new_ticket; + position_open = true; + current_position_type = POSITION_TYPE_SELL; + } + else + { + Print("Error: Position opened but doesn't match EA magic number or symbol"); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Close current position | +//+------------------------------------------------------------------+ +void ClosePosition() +{ + // Close position using helper that verifies symbol AND magic number for THIS EA + if(ClosePositionByMagic(trade, _Symbol, MagicNumber)) + { + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + } + else + { + // Position doesn't exist or wrong magic number - reset tracking + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + } +} diff --git a/lab/EAs/RSILadderXAUUSD/main.mq5 b/frontline/units_economic_calendar/RSIScalpingBTCUSD/main.mq5 similarity index 62% rename from lab/EAs/RSILadderXAUUSD/main.mq5 rename to frontline/units_economic_calendar/RSIScalpingBTCUSD/main.mq5 index bf8b093..ea69523 100644 --- a/lab/EAs/RSILadderXAUUSD/main.mq5 +++ b/frontline/units_economic_calendar/RSIScalpingBTCUSD/main.mq5 @@ -5,7 +5,7 @@ //+------------------------------------------------------------------+ #property copyright "Copyright 2025, MetaQuotes Ltd." #property link "https://www.mql5.com" -#property version "1.03" +#property version "1.00" #include #include "../_united/MagicNumberHelpers.mqh" @@ -14,25 +14,22 @@ input ENUM_TIMEFRAMES TimeFrame = PERIOD_H1; // Timeframe for Analysis input int RSI_Period = 14; // RSI Period input ENUM_APPLIED_PRICE RSI_Applied_Price = PRICE_CLOSE; // RSI Applied Price -input double RSI_Overbought = 71; // RSI Overbought Level -input double RSI_Oversold = 57; // RSI Oversold Level -input bool UseEntrySlopeFilter = false; // require RSI momentum on entry bars -input double EntryMinSlopePerBar = 1.0; // minimum RSI delta per bar for entry -input double RSI_Target_Buy = 80; // RSI Target for Buy Exit -input double RSI_Target_Sell = 57; // RSI Target for Sell Exit -input int BarsToWait = 4; // Bars to wait when RSI goes against position -input bool ExitOnAdverseRsiBarStep = true; // new bar: exit if last closed RSI vs prior closed is against trade +input double RSI_Overbought = 90; // RSI Overbought Level +input double RSI_Oversold = 73; // RSI Oversold Level +input double RSI_Target_Buy = 88; // RSI Target for Buy Exit +input double RSI_Target_Sell = 48; // RSI Target for Sell Exit +input int BarsToWait = 6; // Bars to wait when RSI goes against position input double LotSize = 0.1; // Lot Size -input int MagicNumber = 129102315; // Magic Number +input int MagicNumber = 123459123; // Magic Number input int Slippage = 3; // Slippage in points input group "=== Reversal escape (intrabar, multi-signal) ===" input bool UseReversalEscape = true; // run while in position every tick input int ReversalATRPeriod = 14; // ATR lookback on signal timeframe -input double ReversalAdverseAtrMult = 5.25; // close if price vs entry >= this * ATR -input int ReversalSignsRequired = 2; // how many independent signs must align -input double ReversalRsiVelocity = 16.0; // RSI points drop (long) / rise (short) vs prior buffer -input double ReversalBodyAtrMult = 5.1; // last closed bar body >= this * ATR counts as one sign +input double ReversalAdverseAtrMult = 5.25; // close if price vs entry >= this * ATR +input int ReversalSignsRequired = 2; // how many independent signs must align +input double ReversalRsiVelocity = 16.0; // RSI points drop (long) / rise (short) vs prior buffer +input double ReversalBodyAtrMult = 5.1; // last closed bar body >= this * ATR counts as one sign //--- Global variables CTrade trade; @@ -46,6 +43,12 @@ datetime last_bar_time = 0; bool rsi_against_position = false; int bars_against_count = 0; +void ResetPositionTracking(); +void SyncTrackedPosition(); +double ATRPriceOnTF(const int period); +int CountReversalEscapeSigns(const ENUM_POSITION_TYPE ptype, const double atr); +void TryReversalEscape(); + //+------------------------------------------------------------------+ //| Expert initialization function | //+------------------------------------------------------------------+ @@ -83,32 +86,52 @@ void OnDeinit(const int reason) //+------------------------------------------------------------------+ void OnTick() { + // Check if we have enough bars if(Bars(_Symbol, TimeFrame) < RSI_Period + 2) + { return; + } - const datetime current_bar_time = iTime(_Symbol, TimeFrame, 0); - const bool new_bar = (current_bar_time != last_bar_time); - const bool in_pos = position_open || PositionExistsByMagic(_Symbol, (ulong)MagicNumber); + // Check if this is a new bar + datetime current_bar_time = iTime(_Symbol, TimeFrame, 0); + bool is_new_bar = (current_bar_time != last_bar_time); + bool in_position = position_open || PositionExistsByMagic(_Symbol, MagicNumber); - if(!in_pos && !new_bar) + // While flat, process only on new bars. While in position, allow intrabar reversal escape checks. + if(!in_position && !is_new_bar) + { return; + } + // Update RSI values if(!UpdateRSI()) + { return; + } - if(in_pos && UseReversalEscape) + if(in_position && UseReversalEscape) + { TryReversalEscape(); + } - if(!new_bar) + if(!is_new_bar) + { return; + } last_bar_time = current_bar_time; - ResyncPositionFromMarket(); + // Keep local tracking aligned with actual terminal positions for this symbol/magic. + SyncTrackedPosition(); + + // Check for existing position CheckExistingPosition(); - - if(!position_open && !PositionExistsByMagic(_Symbol, (ulong)MagicNumber)) + + // Check for new entry signals - only if no position exists for THIS EA (magic number) on THIS symbol + if(!position_open && !PositionExistsByMagic(_Symbol, MagicNumber)) + { CheckEntrySignals(); + } } //+------------------------------------------------------------------+ @@ -129,16 +152,18 @@ bool UpdateRSI() } //+------------------------------------------------------------------+ -//| Wilder ATR in price units (signal timeframe) | +//| Wilder ATR in price units (signal timeframe) | //+------------------------------------------------------------------+ double ATRPriceOnTF(const int period) { if(period < 1) return 0.0; + MqlRates rates[]; const int need = period + 2; if(CopyRates(_Symbol, TimeFrame, 0, need, rates) < need) return 0.0; + ArraySetAsSeries(rates, true); double sum = 0.0; for(int i = 1; i <= period; i++) @@ -148,11 +173,12 @@ double ATRPriceOnTF(const int period) const double lc = MathAbs(rates[i].low - rates[i + 1].close); sum += MathMax(hl, MathMax(hc, lc)); } + return sum / (double)period; } //+------------------------------------------------------------------+ -//| Independent adverse signs (need ReversalSignsRequired to exit) | +//| Independent adverse signs (need ReversalSignsRequired to exit) | //+------------------------------------------------------------------+ int CountReversalEscapeSigns(const ENUM_POSITION_TYPE ptype, const double atr) { @@ -179,28 +205,31 @@ int CountReversalEscapeSigns(const ENUM_POSITION_TYPE ptype, const double atr) signs++; } else - return 0; - - MqlRates r[]; - if(CopyRates(_Symbol, TimeFrame, 0, 4, r) >= 4) { - ArraySetAsSeries(r, true); - const double body = MathAbs(r[1].close - r[1].open); + return 0; + } + + MqlRates rates[]; + if(CopyRates(_Symbol, TimeFrame, 0, 4, rates) >= 4) + { + ArraySetAsSeries(rates, true); + const double body = MathAbs(rates[1].close - rates[1].open); if(body >= ReversalBodyAtrMult * atr) { - if(ptype == POSITION_TYPE_BUY && r[1].close < r[1].open) + if(ptype == POSITION_TYPE_BUY && rates[1].close < rates[1].open) signs++; - else if(ptype == POSITION_TYPE_SELL && r[1].close > r[1].open) + else if(ptype == POSITION_TYPE_SELL && rates[1].close > rates[1].open) signs++; } + if(ptype == POSITION_TYPE_BUY) { - if(r[1].close < r[2].close && r[2].close < r[3].close) + if(rates[1].close < rates[2].close && rates[2].close < rates[3].close) signs++; } else { - if(r[1].close > r[2].close && r[2].close > r[3].close) + if(rates[1].close > rates[2].close && rates[2].close > rates[3].close) signs++; } } @@ -209,11 +238,14 @@ int CountReversalEscapeSigns(const ENUM_POSITION_TYPE ptype, const double atr) } //+------------------------------------------------------------------+ -//| Cut losers fast on violent reversals (evaluated every tick) | +//| Cut losers fast on violent reversals (evaluated every tick) | //+------------------------------------------------------------------+ void TryReversalEscape() { - if(!PositionSelectByMagic(_Symbol, (ulong)MagicNumber)) + ulong live_ticket = GetPositionTicketByMagic(_Symbol, MagicNumber); + if(live_ticket == 0) + return; + if(!PositionSelectByTicketSymbolAndMagic(live_ticket, _Symbol, MagicNumber)) return; const ENUM_POSITION_TYPE ptype = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); @@ -221,25 +253,51 @@ void TryReversalEscape() if(atr <= 0.0) return; - const int n = CountReversalEscapeSigns(ptype, atr); - if(n < ReversalSignsRequired) + const int signs = CountReversalEscapeSigns(ptype, atr); + if(signs < ReversalSignsRequired) return; ClosePosition(); - Print("RSIScalpingXAUUSD: reversal escape signs=", n, " need=", ReversalSignsRequired, + Print("RSIScalpingBTCUSD: reversal escape signs=", signs, " need=", ReversalSignsRequired, " ATR=", DoubleToString(atr, (int)SymbolInfoInteger(_Symbol, SYMBOL_DIGITS))); } -void ResyncPositionFromMarket() +//+------------------------------------------------------------------+ +//| Reset local position tracking | +//+------------------------------------------------------------------+ +void ResetPositionTracking() { - if(position_open) + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; +} + +//+------------------------------------------------------------------+ +//| Sync local state with real position in terminal | +//+------------------------------------------------------------------+ +void SyncTrackedPosition() +{ + ulong live_ticket = GetPositionTicketByMagic(_Symbol, MagicNumber); + if(live_ticket == 0) + { + ResetPositionTracking(); return; - ulong t = GetPositionTicketByMagic(_Symbol, (ulong)MagicNumber); - if(t == 0 || !PositionSelectByTicket(t)) + } + + // If we were not tracking (or ticket changed), start tracking the live position. + if(!position_open || position_ticket != (int)live_ticket) + { + if(PositionSelectByTicketSymbolAndMagic(live_ticket, _Symbol, MagicNumber)) + { + position_open = true; + position_ticket = (int)live_ticket; + current_position_type = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); + rsi_against_position = false; + bars_against_count = 0; + } return; - position_ticket = (int)t; - position_open = true; - current_position_type = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); + } } //+------------------------------------------------------------------+ @@ -252,30 +310,12 @@ void CheckExistingPosition() return; } - // Check if position still exists with correct magic number - if(!PositionSelectByTicketAndMagic(position_ticket, MagicNumber)) + // Check if position still exists with correct magic number AND symbol for THIS EA + if(!PositionSelectByTicketSymbolAndMagic(position_ticket, _Symbol, MagicNumber)) { - position_open = false; - position_ticket = 0; - rsi_against_position = false; - bars_against_count = 0; + ResetPositionTracking(); return; } - - // On each new bar: last completed RSI vs the bar before — exit if that step is adverse to the position - if(ExitOnAdverseRsiBarStep) - { - if(current_position_type == POSITION_TYPE_BUY && rsi_prev < rsi_two_bars_ago) - { - ClosePosition(); - return; - } - if(current_position_type == POSITION_TYPE_SELL && rsi_prev > rsi_two_bars_ago) - { - ClosePosition(); - return; - } - } // Exit conditions based on RSI target if(current_position_type == POSITION_TYPE_BUY) @@ -361,21 +401,14 @@ void CheckExistingPosition() //+------------------------------------------------------------------+ void CheckEntrySignals() { - const double upSlope1 = rsi_prev - rsi_two_bars_ago; // older->prev - const double upSlope2 = rsi_current - rsi_prev; // prev->current - const double dnSlope1 = rsi_two_bars_ago - rsi_prev; // older->prev - const double dnSlope2 = rsi_prev - rsi_current; // prev->current - const bool buySlopeOk = (!UseEntrySlopeFilter) || (upSlope1 >= EntryMinSlopePerBar && upSlope2 >= EntryMinSlopePerBar); - const bool sellSlopeOk = (!UseEntrySlopeFilter) || (dnSlope1 >= EntryMinSlopePerBar && dnSlope2 >= EntryMinSlopePerBar); - // Buy signal: RSI crosses from oversold to above oversold (checking the actual crossover) - if(rsi_two_bars_ago <= RSI_Oversold && rsi_prev > RSI_Oversold && buySlopeOk) + if(rsi_two_bars_ago <= RSI_Oversold && rsi_prev > RSI_Oversold) { OpenBuyPosition(); } // Sell signal: RSI crosses from overbought to below overbought (checking the actual crossover) - if(rsi_two_bars_ago >= RSI_Overbought && rsi_prev < RSI_Overbought && sellSlopeOk) + if(rsi_two_bars_ago >= RSI_Overbought && rsi_prev < RSI_Overbought) { OpenSellPosition(); } @@ -386,13 +419,31 @@ void CheckEntrySignals() //+------------------------------------------------------------------+ void OpenBuyPosition() { + // Verify no position exists for THIS EA (magic number) on THIS symbol before opening + if(PositionExistsByMagic(_Symbol, MagicNumber)) + { + return; // Position already exists for this EA + } + double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); if(trade.Buy(LotSize, _Symbol, ask, 0, 0, "RSI Scalping Buy")) { - position_ticket = trade.ResultOrder(); - position_open = true; - current_position_type = POSITION_TYPE_BUY; + ulong new_ticket = trade.ResultOrder(); + if(new_ticket > 0) + { + // Verify position was opened for THIS EA (magic number) on THIS symbol + if(PositionSelectByTicketSymbolAndMagic(new_ticket, _Symbol, MagicNumber)) + { + position_ticket = new_ticket; + position_open = true; + current_position_type = POSITION_TYPE_BUY; + } + else + { + Print("Error: Position opened but doesn't match EA magic number or symbol"); + } + } } } @@ -401,13 +452,31 @@ void OpenBuyPosition() //+------------------------------------------------------------------+ void OpenSellPosition() { + // Verify no position exists for THIS EA (magic number) on THIS symbol before opening + if(PositionExistsByMagic(_Symbol, MagicNumber)) + { + return; // Position already exists for this EA + } + double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); if(trade.Sell(LotSize, _Symbol, bid, 0, 0, "RSI Scalping Sell")) { - position_ticket = trade.ResultOrder(); - position_open = true; - current_position_type = POSITION_TYPE_SELL; + ulong new_ticket = trade.ResultOrder(); + if(new_ticket > 0) + { + // Verify position was opened for THIS EA (magic number) on THIS symbol + if(PositionSelectByTicketSymbolAndMagic(new_ticket, _Symbol, MagicNumber)) + { + position_ticket = new_ticket; + position_open = true; + current_position_type = POSITION_TYPE_SELL; + } + else + { + Print("Error: Position opened but doesn't match EA magic number or symbol"); + } + } } } @@ -416,22 +485,24 @@ void OpenSellPosition() //+------------------------------------------------------------------+ void ClosePosition() { - if(ClosePositionByMagic(trade, _Symbol, (ulong)MagicNumber)) + bool position_exists_before_close = PositionExistsByMagic(_Symbol, MagicNumber); + if(!position_exists_before_close) { - position_open = false; - position_ticket = 0; - rsi_against_position = false; - bars_against_count = 0; + ResetPositionTracking(); return; } - if(!PositionExistsByMagic(_Symbol, (ulong)MagicNumber)) + + // Close position using helper that verifies symbol AND magic number for THIS EA + if(ClosePositionByMagic(trade, _Symbol, MagicNumber)) { - position_open = false; - position_ticket = 0; - rsi_against_position = false; - bars_against_count = 0; - return; + ResetPositionTracking(); + } + else + { + // Keep tracking when close fails (e.g. market closed); retry on next bar. + if(!PositionExistsByMagic(_Symbol, MagicNumber)) + { + ResetPositionTracking(); + } } - Print("RSIScalpingXAUUSD: close failed (will retry on next bar). retcode=", - trade.ResultRetcode(), " lastError=", GetLastError()); } diff --git a/frontline/units_economic_calendar/RSIScalpingMU/main.mq5 b/frontline/units_economic_calendar/RSIScalpingMU/main.mq5 new file mode 100644 index 0000000..5c53a5d --- /dev/null +++ b/frontline/units_economic_calendar/RSIScalpingMU/main.mq5 @@ -0,0 +1,327 @@ +//+------------------------------------------------------------------+ +//| RSIScalping.mq5 | +//| Copyright 2025, MetaQuotes Ltd. | +//| https://www.mql5.com | +//+------------------------------------------------------------------+ +#property copyright "Copyright 2025, MetaQuotes Ltd." +#property link "https://www.mql5.com" +#property version "1.00" + +#include +#include "../_united/MagicNumberHelpers.mqh" + +//--- Input parameters — synced with Desktop 123.set (2026.05.13) +input ENUM_TIMEFRAMES TimeFrame = PERIOD_M20; // Timeframe for Analysis +input int RSI_Period = 14; // RSI Period +input ENUM_APPLIED_PRICE RSI_Applied_Price = PRICE_CLOSE; // RSI Applied Price +input double RSI_Overbought = 32; // RSI Overbought Level +input double RSI_Oversold = 86; // RSI Oversold Level +input double RSI_Target_Buy = 100; // RSI Target for Buy Exit +input double RSI_Target_Sell = 24; // RSI Target for Sell Exit +input int BarsToWait = 34; // Bars to wait when RSI goes against position +input double LotSize = 5; // Lot Size +input int MagicNumber = 129102315; // Magic Number +input int Slippage = 3; // Slippage in points + +//--- Global variables +CTrade trade; +int rsi_handle; +double rsi_buffer[]; +double rsi_prev, rsi_current, rsi_two_bars_ago; +bool position_open = false; +int position_ticket = 0; +ENUM_POSITION_TYPE current_position_type = POSITION_TYPE_BUY; +datetime last_bar_time = 0; +bool rsi_against_position = false; +int bars_against_count = 0; + +//+------------------------------------------------------------------+ +//| Expert initialization function | +//+------------------------------------------------------------------+ +int OnInit() +{ + // Initialize RSI indicator + rsi_handle = iRSI(_Symbol, TimeFrame, RSI_Period, RSI_Applied_Price); + if(rsi_handle == INVALID_HANDLE) + { + return(INIT_FAILED); + } + + // Initialize trade object + trade.SetExpertMagicNumber(MagicNumber); + trade.SetDeviationInPoints(Slippage); + trade.SetTypeFilling(ORDER_FILLING_FOK); + + // Allocate arrays + ArraySetAsSeries(rsi_buffer, true); + + return(INIT_SUCCEEDED); +} + +//+------------------------------------------------------------------+ +//| Expert deinitialization function | +//+------------------------------------------------------------------+ +void OnDeinit(const int reason) +{ + if(rsi_handle != INVALID_HANDLE) + IndicatorRelease(rsi_handle); +} + +//+------------------------------------------------------------------+ +//| Expert tick function | +//+------------------------------------------------------------------+ +void OnTick() +{ + // Check if we have enough bars + if(Bars(_Symbol, TimeFrame) < RSI_Period + 2) + { + return; + } + + // Check if this is a new bar + datetime current_bar_time = iTime(_Symbol, TimeFrame, 0); + if(current_bar_time == last_bar_time) + { + return; // Still the same bar, don't process + } + + last_bar_time = current_bar_time; + + // Update RSI values + if(!UpdateRSI()) + { + return; + } + + // Check for existing position + CheckExistingPosition(); + + // Check for new entry signals - only if no position exists for THIS EA (magic number) on THIS symbol + if(!position_open && !PositionExistsByMagic(_Symbol, MagicNumber)) + { + CheckEntrySignals(); + } +} + +//+------------------------------------------------------------------+ +//| Update RSI values | +//+------------------------------------------------------------------+ +bool UpdateRSI() +{ + if(CopyBuffer(rsi_handle, 0, 0, 3, rsi_buffer) < 3) + { + return false; + } + + rsi_current = rsi_buffer[0]; // Current bar + rsi_prev = rsi_buffer[1]; // Previous bar + rsi_two_bars_ago = rsi_buffer[2]; // Two bars ago + + return true; +} + +//+------------------------------------------------------------------+ +//| Check existing position for exit conditions | +//+------------------------------------------------------------------+ +void CheckExistingPosition() +{ + if(!position_open) + { + return; + } + + // Check if position still exists with correct magic number AND symbol for THIS EA + if(!PositionSelectByTicketSymbolAndMagic(position_ticket, _Symbol, MagicNumber)) + { + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + return; + } + + // Exit conditions based on RSI target + if(current_position_type == POSITION_TYPE_BUY) + { + // Check if RSI is against the position (below oversold) + if(rsi_current < RSI_Oversold) + { + if(!rsi_against_position) + { + rsi_against_position = true; + bars_against_count = 1; + } + else + { + bars_against_count++; + } + + // Close position if RSI has been against for Y bars + if(bars_against_count >= BarsToWait) + { + ClosePosition(); + return; + } + } + else + { + // RSI is no longer against the position, reset counter + if(rsi_against_position) + { + rsi_against_position = false; + bars_against_count = 0; + } + + // Exit long position when RSI reaches buy target + if(rsi_current >= RSI_Target_Buy) + { + ClosePosition(); + } + } + } + else if(current_position_type == POSITION_TYPE_SELL) + { + // Check if RSI is against the position (above overbought) + if(rsi_current > RSI_Overbought) + { + if(!rsi_against_position) + { + rsi_against_position = true; + bars_against_count = 1; + } + else + { + bars_against_count++; + } + + // Close position if RSI has been against for Y bars + if(bars_against_count >= BarsToWait) + { + ClosePosition(); + return; + } + } + else + { + // RSI is no longer against the position, reset counter + if(rsi_against_position) + { + rsi_against_position = false; + bars_against_count = 0; + } + + // Exit short position when RSI reaches sell target + if(rsi_current <= RSI_Target_Sell) + { + ClosePosition(); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Check for entry signals | +//+------------------------------------------------------------------+ +void CheckEntrySignals() +{ + // Buy signal: RSI crosses from oversold to above oversold (checking the actual crossover) + if(rsi_two_bars_ago <= RSI_Oversold && rsi_prev > RSI_Oversold) + { + OpenBuyPosition(); + } + + // Sell signal: RSI crosses from overbought to below overbought (checking the actual crossover) + if(rsi_two_bars_ago >= RSI_Overbought && rsi_prev < RSI_Overbought) + { + OpenSellPosition(); + } +} + +//+------------------------------------------------------------------+ +//| Open buy position | +//+------------------------------------------------------------------+ +void OpenBuyPosition() +{ + // Verify no position exists for THIS EA (magic number) on THIS symbol before opening + if(PositionExistsByMagic(_Symbol, MagicNumber)) + { + return; // Position already exists for this EA + } + + double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + + if(trade.Buy(LotSize, _Symbol, ask, 0, 0, "RSI Scalping Buy")) + { + ulong new_ticket = trade.ResultOrder(); + if(new_ticket > 0) + { + // Verify position was opened for THIS EA (magic number) on THIS symbol + if(PositionSelectByTicketSymbolAndMagic(new_ticket, _Symbol, MagicNumber)) + { + position_ticket = new_ticket; + position_open = true; + current_position_type = POSITION_TYPE_BUY; + } + else + { + Print("Error: Position opened but doesn't match EA magic number or symbol"); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Open sell position | +//+------------------------------------------------------------------+ +void OpenSellPosition() +{ + // Verify no position exists for THIS EA (magic number) on THIS symbol before opening + if(PositionExistsByMagic(_Symbol, MagicNumber)) + { + return; // Position already exists for this EA + } + + double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + + if(trade.Sell(LotSize, _Symbol, bid, 0, 0, "RSI Scalping Sell")) + { + ulong new_ticket = trade.ResultOrder(); + if(new_ticket > 0) + { + // Verify position was opened for THIS EA (magic number) on THIS symbol + if(PositionSelectByTicketSymbolAndMagic(new_ticket, _Symbol, MagicNumber)) + { + position_ticket = new_ticket; + position_open = true; + current_position_type = POSITION_TYPE_SELL; + } + else + { + Print("Error: Position opened but doesn't match EA magic number or symbol"); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Close current position | +//+------------------------------------------------------------------+ +void ClosePosition() +{ + // Close position using helper that verifies symbol AND magic number for THIS EA + if(ClosePositionByMagic(trade, _Symbol, MagicNumber)) + { + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + } + else + { + // Position doesn't exist or wrong magic number - reset tracking + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + } +} diff --git a/frontline/units_economic_calendar/RSIScalpingMU/optimization.set b/frontline/units_economic_calendar/RSIScalpingMU/optimization.set new file mode 100644 index 0000000000000000000000000000000000000000..5d564c8b56d753dd4c18da594fa238a2dc9b1be8 GIT binary patch literal 1820 zcmaKsTW`}q5QXO%iT~h7kPtL+nifzVTA%_6N=1SYPgTf`h@_4jCs4$12fnl8t?eWr z%X^(UbLO^xem}Rw);6@QO>E3Mvm3^?9r1VVG4nBF%hGU~+B5bij2+JI+dY$hVP9GUGFM`I*o`AFpyCo+-%hLp1 z$4-#`frL~$uK;w0-cyA3zaL&%TVkMM2I_>J{j z&}GT}s!*ce;v_cm@CLhz?37WllC?K?(NJs@r!OT}MRkB3XKrX+WfN*r@KV z?Hp#eudhiZAvyjnCVz4AjsuNX6o672xc(K~*XH5yuc|TN&Dn_W{ zlLq##?`t1jUav+kd-27@A7|XC6V>xkMji1nbndQfzm)7T=lC%RR;S=Cg1jQ= z9P0PZ;a^xU;UNY?*r?vG;38%Pr^>8HT63(4W_(W%M0?lP8OVCywph`uSGQ?LJst5Y zOUmMLz*k1yGwmf=ee&9?q#kEg=bF#0#kbmD-vs*;`%c95S}9iZAf4C)B0sPf_V7S9 znur(ZEYMXQxlWH4ubzqKZa**1*<&>ZN7+@k7WSG5ZECpwa(P#DL(W^&Y~^=_@d|&& Td;0D2^>Bn%*=y|*!|UTO4UjRn literal 0 HcmV?d00001 diff --git a/frontline/units_economic_calendar/RSIScalpingNVDA/NVDA_Genetic_Optimization.set b/frontline/units_economic_calendar/RSIScalpingNVDA/NVDA_Genetic_Optimization.set new file mode 100644 index 0000000..81b89e6 --- /dev/null +++ b/frontline/units_economic_calendar/RSIScalpingNVDA/NVDA_Genetic_Optimization.set @@ -0,0 +1,28 @@ +; saved on 2026.02.07 +; Genetic Algorithm Optimization Parameters for RSIScalpingNVDA +; Recommended ranges for profitable parameter discovery +; +; Format: Parameter=Start||Step||Min||Max||Optimize(Y/N) +; +; NOTE: Current values show RSI_Overbought=19 and RSI_Oversold=50 which are unusual. +; This config uses STANDARD RSI ranges (60-85 overbought, 15-40 oversold). +; If your current values are intentional, use the alternative ranges in OPTIMIZATION_GUIDE.md +; +; === PHASE 1: CORE RSI PARAMETERS (Primary Optimization) === +RSI_Period=14||1||7||21||Y +RSI_Overbought=70.0||2.0||60.0||85.0||Y +RSI_Oversold=30.0||2.0||15.0||40.0||Y +RSI_Target_Buy=75.0||2.0||65.0||90.0||Y +RSI_Target_Sell=25.0||2.0||10.0||35.0||Y + +; === PHASE 2: RISK MANAGEMENT (Secondary Optimization) === +BarsToWait=2||1||1||8||Y +TimeFrame=16387||0||16385||16390||Y + +; === PHASE 3: POSITION SIZING (Optimize with caution) === +LotSize=50.0||5.0||10.0||100.0||Y + +; === FIXED PARAMETERS (Do Not Optimize) === +RSI_Applied_Price=1||0||1||1||N +MagicNumber=12345||0||12345||12345||N +Slippage=3||0||3||3||N diff --git a/frontline/units_economic_calendar/RSIScalpingNVDA/NVDA_Genetic_Optimization_Alternative.set b/frontline/units_economic_calendar/RSIScalpingNVDA/NVDA_Genetic_Optimization_Alternative.set new file mode 100644 index 0000000..3fca2be --- /dev/null +++ b/frontline/units_economic_calendar/RSIScalpingNVDA/NVDA_Genetic_Optimization_Alternative.set @@ -0,0 +1,24 @@ +; saved on 2026.02.07 +; Alternative Genetic Algorithm Optimization - Respects Current Unusual RSI Values +; Use this if RSI_Overbought=19 and RSI_Oversold=50 are intentional +; +; Format: Parameter=Start||Step||Min||Max||Optimize(Y/N) +; +; === PHASE 1: CORE RSI PARAMETERS === +RSI_Period=14||1||7||21||Y +RSI_Overbought=19.0||1.0||15.0||30.0||Y +RSI_Oversold=50.0||2.0||40.0||60.0||Y +RSI_Target_Buy=71.0||2.0||65.0||80.0||Y +RSI_Target_Sell=70.0||2.0||60.0||75.0||Y + +; === PHASE 2: RISK MANAGEMENT === +BarsToWait=1||1||1||8||Y +TimeFrame=16387||0||16385||16390||Y + +; === PHASE 3: POSITION SIZING === +LotSize=50.0||5.0||10.0||100.0||Y + +; === FIXED PARAMETERS === +RSI_Applied_Price=1||0||1||1||N +MagicNumber=12345||0||12345||12345||N +Slippage=3||0||3||3||N diff --git a/frontline/units_economic_calendar/RSIScalpingNVDA/OPTIMIZATION_GUIDE.md b/frontline/units_economic_calendar/RSIScalpingNVDA/OPTIMIZATION_GUIDE.md new file mode 100644 index 0000000..d7d5ba6 --- /dev/null +++ b/frontline/units_economic_calendar/RSIScalpingNVDA/OPTIMIZATION_GUIDE.md @@ -0,0 +1,134 @@ +# Genetic Algorithm Optimization Guide for RSIScalpingNVDA + +## Recommended Optimization Strategy + +### Phase 1: Core RSI Parameters (Primary Focus) +These parameters directly control entry/exit signals and should be optimized first. + +#### **RSI_Period** (Y - Optimize) +- **Current**: 14 +- **Recommended Range**: 7-21 +- **Step**: 1 +- **Rationale**: Standard RSI periods. Shorter = more sensitive, longer = smoother signals + +#### **RSI_Overbought** (Y - Optimize) +- **Current**: 19.0 (unusually low - verify if this is correct) +- **Standard Range**: 60.0-85.0 +- **Step**: 2.0 +- **Alternative Range** (if current is intentional): 15.0-30.0 +- **Rationale**: Level where RSI indicates overbought condition for sell entries + +#### **RSI_Oversold** (Y - Optimize) +- **Current**: 50.0 (unusually high - verify if this is correct) +- **Standard Range**: 15.0-40.0 +- **Step**: 2.0 +- **Alternative Range** (if current is intentional): 40.0-60.0 +- **Rationale**: Level where RSI indicates oversold condition for buy entries + +#### **RSI_Target_Buy** (Y - Optimize) +- **Current**: 71.0 +- **Recommended Range**: 65.0-90.0 +- **Step**: 2.0 +- **Rationale**: Exit target for long positions. Must be > RSI_Oversold + +#### **RSI_Target_Sell** (Y - Optimize) +- **Current**: 70.0 +- **Recommended Range**: 10.0-35.0 +- **Step**: 2.0 +- **Rationale**: Exit target for short positions. Must be < RSI_Overbought + +### Phase 2: Risk Management Parameters + +#### **BarsToWait** (Y - Optimize) +- **Current**: 1 +- **Recommended Range**: 1-8 +- **Step**: 1 +- **Rationale**: Bars to wait before closing when RSI goes against position. Higher = more patience + +#### **TimeFrame** (Y - Optimize) +- **Current**: 16387 (M5) +- **Recommended**: Test M1, M5, M15, H1 +- **Values**: + - M1 = 16385 + - M5 = 16387 + - M15 = 16388 + - H1 = 16390 +- **Rationale**: Different timeframes can significantly affect scalping performance + +### Phase 3: Position Sizing (Optimize with Caution) + +#### **LotSize** (Y - Optimize with Fixed Risk) +- **Current**: 50.0 +- **Recommended Range**: 10.0-100.0 +- **Step**: 5.0 +- **Note**: Consider using fixed risk % instead of fixed lot size +- **Rationale**: Position sizing affects profitability but also risk + +### Fixed Parameters (Do NOT Optimize) + +#### **RSI_Applied_Price** (N) +- **Value**: 1 (PRICE_CLOSE) +- **Rationale**: Standard choice, changing may not improve results significantly + +#### **MagicNumber** (N) +- **Value**: 12345 +- **Rationale**: Identifier only, no impact on performance + +#### **Slippage** (N) +- **Value**: 3 +- **Rationale**: Broker-specific, should match your actual slippage + +## Genetic Algorithm Settings + +### Recommended GA Settings: +- **Optimization Criterion**: Balance (or Custom: Profit Factor * Total Net Profit) +- **Population Size**: 50-100 +- **Mutation Probability**: 0.1-0.2 +- **Crossover Probability**: 0.7-0.9 +- **Optimization Passes**: 3-5 +- **Forward Testing**: Always use out-of-sample data + +### Optimization Phases: + +1. **Broad Search** (First Pass): + - Optimize: RSI_Period, RSI_Overbought, RSI_Oversold, RSI_Target_Buy, RSI_Target_Sell + - Fix: BarsToWait=1, TimeFrame=M5, LotSize=50 + +2. **Refinement** (Second Pass): + - Use best results from Phase 1 + - Optimize: BarsToWait, TimeFrame + - Narrow ranges around Phase 1 winners + +3. **Fine-Tuning** (Third Pass): + - Optimize: LotSize (if needed) + - Very narrow ranges around Phase 2 winners + +## Important Notes + +⚠️ **Current Parameter Anomaly**: +- RSI_Overbought=19 and RSI_Oversold=50 are unusual +- Standard RSI ranges: Overbought 70-80, Oversold 20-30 +- **Verify** if these are intentional or if there's a scaling issue + +✅ **Validation Checklist**: +- Ensure RSI_Target_Buy > RSI_Oversold +- Ensure RSI_Target_Sell < RSI_Overbought +- Test on sufficient historical data (at least 6-12 months) +- Use forward testing on unseen data +- Check for overfitting (too many parameters optimized) + +## Example .set File Structure + +``` +RSI_Period=14||1||7||21||Y +RSI_Overbought=70.0||2.0||60.0||85.0||Y +RSI_Oversold=30.0||2.0||15.0||40.0||Y +RSI_Target_Buy=75.0||2.0||65.0||90.0||Y +RSI_Target_Sell=25.0||2.0||10.0||35.0||Y +BarsToWait=2||1||1||8||Y +TimeFrame=16387||0||16385||16390||Y +LotSize=50.0||5.0||10.0||100.0||Y +RSI_Applied_Price=1||0||1||1||N +MagicNumber=12345||0||12345||12345||N +Slippage=3||0||3||3||N +``` diff --git a/frontline/units_economic_calendar/RSIScalpingNVDA/main.mq5 b/frontline/units_economic_calendar/RSIScalpingNVDA/main.mq5 new file mode 100644 index 0000000..173bfec --- /dev/null +++ b/frontline/units_economic_calendar/RSIScalpingNVDA/main.mq5 @@ -0,0 +1,327 @@ +//+------------------------------------------------------------------+ +//| RSIScalping.mq5 | +//| Copyright 2025, MetaQuotes Ltd. | +//| https://www.mql5.com | +//+------------------------------------------------------------------+ +#property copyright "Copyright 2025, MetaQuotes Ltd." +#property link "https://www.mql5.com" +#property version "1.00" + +#include +#include "../_united/MagicNumberHelpers.mqh" + +//--- Input parameters — synced with Desktop 123.set (2026.05.13) +input ENUM_TIMEFRAMES TimeFrame = PERIOD_M20; // Timeframe for Analysis +input int RSI_Period = 14; // RSI Period +input ENUM_APPLIED_PRICE RSI_Applied_Price = PRICE_CLOSE; // RSI Applied Price +input double RSI_Overbought = 6; // RSI Overbought Level +input double RSI_Oversold = 66; // RSI Oversold Level +input double RSI_Target_Buy = 98; // RSI Target for Buy Exit +input double RSI_Target_Sell = 52; // RSI Target for Sell Exit +input int BarsToWait = 12; // Bars to wait when RSI goes against position +input double LotSize = 5; // Lot Size +input int MagicNumber = 129102315; // Magic Number +input int Slippage = 3; // Slippage in points + +//--- Global variables +CTrade trade; +int rsi_handle; +double rsi_buffer[]; +double rsi_prev, rsi_current, rsi_two_bars_ago; +bool position_open = false; +int position_ticket = 0; +ENUM_POSITION_TYPE current_position_type = POSITION_TYPE_BUY; +datetime last_bar_time = 0; +bool rsi_against_position = false; +int bars_against_count = 0; + +//+------------------------------------------------------------------+ +//| Expert initialization function | +//+------------------------------------------------------------------+ +int OnInit() +{ + // Initialize RSI indicator + rsi_handle = iRSI(_Symbol, TimeFrame, RSI_Period, RSI_Applied_Price); + if(rsi_handle == INVALID_HANDLE) + { + return(INIT_FAILED); + } + + // Initialize trade object + trade.SetExpertMagicNumber(MagicNumber); + trade.SetDeviationInPoints(Slippage); + trade.SetTypeFilling(ORDER_FILLING_FOK); + + // Allocate arrays + ArraySetAsSeries(rsi_buffer, true); + + return(INIT_SUCCEEDED); +} + +//+------------------------------------------------------------------+ +//| Expert deinitialization function | +//+------------------------------------------------------------------+ +void OnDeinit(const int reason) +{ + if(rsi_handle != INVALID_HANDLE) + IndicatorRelease(rsi_handle); +} + +//+------------------------------------------------------------------+ +//| Expert tick function | +//+------------------------------------------------------------------+ +void OnTick() +{ + // Check if we have enough bars + if(Bars(_Symbol, TimeFrame) < RSI_Period + 2) + { + return; + } + + // Check if this is a new bar + datetime current_bar_time = iTime(_Symbol, TimeFrame, 0); + if(current_bar_time == last_bar_time) + { + return; // Still the same bar, don't process + } + + last_bar_time = current_bar_time; + + // Update RSI values + if(!UpdateRSI()) + { + return; + } + + // Check for existing position + CheckExistingPosition(); + + // Check for new entry signals - only if no position exists for THIS EA (magic number) on THIS symbol + if(!position_open && !PositionExistsByMagic(_Symbol, MagicNumber)) + { + CheckEntrySignals(); + } +} + +//+------------------------------------------------------------------+ +//| Update RSI values | +//+------------------------------------------------------------------+ +bool UpdateRSI() +{ + if(CopyBuffer(rsi_handle, 0, 0, 3, rsi_buffer) < 3) + { + return false; + } + + rsi_current = rsi_buffer[0]; // Current bar + rsi_prev = rsi_buffer[1]; // Previous bar + rsi_two_bars_ago = rsi_buffer[2]; // Two bars ago + + return true; +} + +//+------------------------------------------------------------------+ +//| Check existing position for exit conditions | +//+------------------------------------------------------------------+ +void CheckExistingPosition() +{ + if(!position_open) + { + return; + } + + // Check if position still exists with correct magic number AND symbol for THIS EA + if(!PositionSelectByTicketSymbolAndMagic(position_ticket, _Symbol, MagicNumber)) + { + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + return; + } + + // Exit conditions based on RSI target + if(current_position_type == POSITION_TYPE_BUY) + { + // Check if RSI is against the position (below oversold) + if(rsi_current < RSI_Oversold) + { + if(!rsi_against_position) + { + rsi_against_position = true; + bars_against_count = 1; + } + else + { + bars_against_count++; + } + + // Close position if RSI has been against for Y bars + if(bars_against_count >= BarsToWait) + { + ClosePosition(); + return; + } + } + else + { + // RSI is no longer against the position, reset counter + if(rsi_against_position) + { + rsi_against_position = false; + bars_against_count = 0; + } + + // Exit long position when RSI reaches buy target + if(rsi_current >= RSI_Target_Buy) + { + ClosePosition(); + } + } + } + else if(current_position_type == POSITION_TYPE_SELL) + { + // Check if RSI is against the position (above overbought) + if(rsi_current > RSI_Overbought) + { + if(!rsi_against_position) + { + rsi_against_position = true; + bars_against_count = 1; + } + else + { + bars_against_count++; + } + + // Close position if RSI has been against for Y bars + if(bars_against_count >= BarsToWait) + { + ClosePosition(); + return; + } + } + else + { + // RSI is no longer against the position, reset counter + if(rsi_against_position) + { + rsi_against_position = false; + bars_against_count = 0; + } + + // Exit short position when RSI reaches sell target + if(rsi_current <= RSI_Target_Sell) + { + ClosePosition(); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Check for entry signals | +//+------------------------------------------------------------------+ +void CheckEntrySignals() +{ + // Buy signal: RSI crosses from oversold to above oversold (checking the actual crossover) + if(rsi_two_bars_ago <= RSI_Oversold && rsi_prev > RSI_Oversold) + { + OpenBuyPosition(); + } + + // Sell signal: RSI crosses from overbought to below overbought (checking the actual crossover) + if(rsi_two_bars_ago >= RSI_Overbought && rsi_prev < RSI_Overbought) + { + OpenSellPosition(); + } +} + +//+------------------------------------------------------------------+ +//| Open buy position | +//+------------------------------------------------------------------+ +void OpenBuyPosition() +{ + // Verify no position exists for THIS EA (magic number) on THIS symbol before opening + if(PositionExistsByMagic(_Symbol, MagicNumber)) + { + return; // Position already exists for this EA + } + + double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + + if(trade.Buy(LotSize, _Symbol, ask, 0, 0, "RSI Scalping Buy")) + { + ulong new_ticket = trade.ResultOrder(); + if(new_ticket > 0) + { + // Verify position was opened for THIS EA (magic number) on THIS symbol + if(PositionSelectByTicketSymbolAndMagic(new_ticket, _Symbol, MagicNumber)) + { + position_ticket = new_ticket; + position_open = true; + current_position_type = POSITION_TYPE_BUY; + } + else + { + Print("Error: Position opened but doesn't match EA magic number or symbol"); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Open sell position | +//+------------------------------------------------------------------+ +void OpenSellPosition() +{ + // Verify no position exists for THIS EA (magic number) on THIS symbol before opening + if(PositionExistsByMagic(_Symbol, MagicNumber)) + { + return; // Position already exists for this EA + } + + double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + + if(trade.Sell(LotSize, _Symbol, bid, 0, 0, "RSI Scalping Sell")) + { + ulong new_ticket = trade.ResultOrder(); + if(new_ticket > 0) + { + // Verify position was opened for THIS EA (magic number) on THIS symbol + if(PositionSelectByTicketSymbolAndMagic(new_ticket, _Symbol, MagicNumber)) + { + position_ticket = new_ticket; + position_open = true; + current_position_type = POSITION_TYPE_SELL; + } + else + { + Print("Error: Position opened but doesn't match EA magic number or symbol"); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Close current position | +//+------------------------------------------------------------------+ +void ClosePosition() +{ + // Close position using helper that verifies symbol AND magic number for THIS EA + if(ClosePositionByMagic(trade, _Symbol, MagicNumber)) + { + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + } + else + { + // Position doesn't exist or wrong magic number - reset tracking + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + } +} diff --git a/frontline/units_economic_calendar/RSIScalpingTSLA/main.mq5 b/frontline/units_economic_calendar/RSIScalpingTSLA/main.mq5 new file mode 100644 index 0000000..5c53a5d --- /dev/null +++ b/frontline/units_economic_calendar/RSIScalpingTSLA/main.mq5 @@ -0,0 +1,327 @@ +//+------------------------------------------------------------------+ +//| RSIScalping.mq5 | +//| Copyright 2025, MetaQuotes Ltd. | +//| https://www.mql5.com | +//+------------------------------------------------------------------+ +#property copyright "Copyright 2025, MetaQuotes Ltd." +#property link "https://www.mql5.com" +#property version "1.00" + +#include +#include "../_united/MagicNumberHelpers.mqh" + +//--- Input parameters — synced with Desktop 123.set (2026.05.13) +input ENUM_TIMEFRAMES TimeFrame = PERIOD_M20; // Timeframe for Analysis +input int RSI_Period = 14; // RSI Period +input ENUM_APPLIED_PRICE RSI_Applied_Price = PRICE_CLOSE; // RSI Applied Price +input double RSI_Overbought = 32; // RSI Overbought Level +input double RSI_Oversold = 86; // RSI Oversold Level +input double RSI_Target_Buy = 100; // RSI Target for Buy Exit +input double RSI_Target_Sell = 24; // RSI Target for Sell Exit +input int BarsToWait = 34; // Bars to wait when RSI goes against position +input double LotSize = 5; // Lot Size +input int MagicNumber = 129102315; // Magic Number +input int Slippage = 3; // Slippage in points + +//--- Global variables +CTrade trade; +int rsi_handle; +double rsi_buffer[]; +double rsi_prev, rsi_current, rsi_two_bars_ago; +bool position_open = false; +int position_ticket = 0; +ENUM_POSITION_TYPE current_position_type = POSITION_TYPE_BUY; +datetime last_bar_time = 0; +bool rsi_against_position = false; +int bars_against_count = 0; + +//+------------------------------------------------------------------+ +//| Expert initialization function | +//+------------------------------------------------------------------+ +int OnInit() +{ + // Initialize RSI indicator + rsi_handle = iRSI(_Symbol, TimeFrame, RSI_Period, RSI_Applied_Price); + if(rsi_handle == INVALID_HANDLE) + { + return(INIT_FAILED); + } + + // Initialize trade object + trade.SetExpertMagicNumber(MagicNumber); + trade.SetDeviationInPoints(Slippage); + trade.SetTypeFilling(ORDER_FILLING_FOK); + + // Allocate arrays + ArraySetAsSeries(rsi_buffer, true); + + return(INIT_SUCCEEDED); +} + +//+------------------------------------------------------------------+ +//| Expert deinitialization function | +//+------------------------------------------------------------------+ +void OnDeinit(const int reason) +{ + if(rsi_handle != INVALID_HANDLE) + IndicatorRelease(rsi_handle); +} + +//+------------------------------------------------------------------+ +//| Expert tick function | +//+------------------------------------------------------------------+ +void OnTick() +{ + // Check if we have enough bars + if(Bars(_Symbol, TimeFrame) < RSI_Period + 2) + { + return; + } + + // Check if this is a new bar + datetime current_bar_time = iTime(_Symbol, TimeFrame, 0); + if(current_bar_time == last_bar_time) + { + return; // Still the same bar, don't process + } + + last_bar_time = current_bar_time; + + // Update RSI values + if(!UpdateRSI()) + { + return; + } + + // Check for existing position + CheckExistingPosition(); + + // Check for new entry signals - only if no position exists for THIS EA (magic number) on THIS symbol + if(!position_open && !PositionExistsByMagic(_Symbol, MagicNumber)) + { + CheckEntrySignals(); + } +} + +//+------------------------------------------------------------------+ +//| Update RSI values | +//+------------------------------------------------------------------+ +bool UpdateRSI() +{ + if(CopyBuffer(rsi_handle, 0, 0, 3, rsi_buffer) < 3) + { + return false; + } + + rsi_current = rsi_buffer[0]; // Current bar + rsi_prev = rsi_buffer[1]; // Previous bar + rsi_two_bars_ago = rsi_buffer[2]; // Two bars ago + + return true; +} + +//+------------------------------------------------------------------+ +//| Check existing position for exit conditions | +//+------------------------------------------------------------------+ +void CheckExistingPosition() +{ + if(!position_open) + { + return; + } + + // Check if position still exists with correct magic number AND symbol for THIS EA + if(!PositionSelectByTicketSymbolAndMagic(position_ticket, _Symbol, MagicNumber)) + { + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + return; + } + + // Exit conditions based on RSI target + if(current_position_type == POSITION_TYPE_BUY) + { + // Check if RSI is against the position (below oversold) + if(rsi_current < RSI_Oversold) + { + if(!rsi_against_position) + { + rsi_against_position = true; + bars_against_count = 1; + } + else + { + bars_against_count++; + } + + // Close position if RSI has been against for Y bars + if(bars_against_count >= BarsToWait) + { + ClosePosition(); + return; + } + } + else + { + // RSI is no longer against the position, reset counter + if(rsi_against_position) + { + rsi_against_position = false; + bars_against_count = 0; + } + + // Exit long position when RSI reaches buy target + if(rsi_current >= RSI_Target_Buy) + { + ClosePosition(); + } + } + } + else if(current_position_type == POSITION_TYPE_SELL) + { + // Check if RSI is against the position (above overbought) + if(rsi_current > RSI_Overbought) + { + if(!rsi_against_position) + { + rsi_against_position = true; + bars_against_count = 1; + } + else + { + bars_against_count++; + } + + // Close position if RSI has been against for Y bars + if(bars_against_count >= BarsToWait) + { + ClosePosition(); + return; + } + } + else + { + // RSI is no longer against the position, reset counter + if(rsi_against_position) + { + rsi_against_position = false; + bars_against_count = 0; + } + + // Exit short position when RSI reaches sell target + if(rsi_current <= RSI_Target_Sell) + { + ClosePosition(); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Check for entry signals | +//+------------------------------------------------------------------+ +void CheckEntrySignals() +{ + // Buy signal: RSI crosses from oversold to above oversold (checking the actual crossover) + if(rsi_two_bars_ago <= RSI_Oversold && rsi_prev > RSI_Oversold) + { + OpenBuyPosition(); + } + + // Sell signal: RSI crosses from overbought to below overbought (checking the actual crossover) + if(rsi_two_bars_ago >= RSI_Overbought && rsi_prev < RSI_Overbought) + { + OpenSellPosition(); + } +} + +//+------------------------------------------------------------------+ +//| Open buy position | +//+------------------------------------------------------------------+ +void OpenBuyPosition() +{ + // Verify no position exists for THIS EA (magic number) on THIS symbol before opening + if(PositionExistsByMagic(_Symbol, MagicNumber)) + { + return; // Position already exists for this EA + } + + double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + + if(trade.Buy(LotSize, _Symbol, ask, 0, 0, "RSI Scalping Buy")) + { + ulong new_ticket = trade.ResultOrder(); + if(new_ticket > 0) + { + // Verify position was opened for THIS EA (magic number) on THIS symbol + if(PositionSelectByTicketSymbolAndMagic(new_ticket, _Symbol, MagicNumber)) + { + position_ticket = new_ticket; + position_open = true; + current_position_type = POSITION_TYPE_BUY; + } + else + { + Print("Error: Position opened but doesn't match EA magic number or symbol"); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Open sell position | +//+------------------------------------------------------------------+ +void OpenSellPosition() +{ + // Verify no position exists for THIS EA (magic number) on THIS symbol before opening + if(PositionExistsByMagic(_Symbol, MagicNumber)) + { + return; // Position already exists for this EA + } + + double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + + if(trade.Sell(LotSize, _Symbol, bid, 0, 0, "RSI Scalping Sell")) + { + ulong new_ticket = trade.ResultOrder(); + if(new_ticket > 0) + { + // Verify position was opened for THIS EA (magic number) on THIS symbol + if(PositionSelectByTicketSymbolAndMagic(new_ticket, _Symbol, MagicNumber)) + { + position_ticket = new_ticket; + position_open = true; + current_position_type = POSITION_TYPE_SELL; + } + else + { + Print("Error: Position opened but doesn't match EA magic number or symbol"); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Close current position | +//+------------------------------------------------------------------+ +void ClosePosition() +{ + // Close position using helper that verifies symbol AND magic number for THIS EA + if(ClosePositionByMagic(trade, _Symbol, MagicNumber)) + { + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + } + else + { + // Position doesn't exist or wrong magic number - reset tracking + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + } +} diff --git a/frontline/units_economic_calendar/RSI_secret_sauce_XAUUSD/main.mq5 b/frontline/units_economic_calendar/RSI_secret_sauce_XAUUSD/main.mq5 new file mode 100644 index 0000000..425b7f7 --- /dev/null +++ b/frontline/units_economic_calendar/RSI_secret_sauce_XAUUSD/main.mq5 @@ -0,0 +1,508 @@ +//+------------------------------------------------------------------+ +//| RSI_SecretSauce_XAUUSD.mq5 | +//| Copyright 2025, MetaQuotes Ltd. | +//| https://www.mql5.com | +//+------------------------------------------------------------------+ +#property copyright "Copyright 2025, MetaQuotes Ltd." +#property link "https://www.mql5.com" +#property version "1.01" +#property description "RSI Secret Sauce Strategy: Wait for RSI to leave 70/30 zone, then enter when it comes back in" +#property description "Based on momentum flip concept - not traditional overbought/oversold" + +#include +#include + +//--- Input Parameters +input group "=== Trading Settings ===" +input string InpSymbol = "XAUUSD"; // Default gold; same numbers as secret_sauce.set (that file uses BTCUSD as symbol) +input double InpLotSize = 0.1; // Lot Size (Profiles/Tester/secret_sauce.set) +input int InpMagicNumber = 789012; // Magic Number +input int InpSlippage = 10; // Slippage in points +input ENUM_TIMEFRAMES InpTimeframe = PERIOD_M30; // Trading Timeframe (set value 30 = M30) + +input group "=== RSI Settings ===" +input int InpRSIPeriod = 16; // RSI Period +input double InpRSIOverbought = 72.5; // RSI Overbought Level +input double InpRSIOversold = 32.5; // RSI Oversold Level +input int InpRSILookback = 60; // RSI Lookback for Peak/Bottom Detection + +input group "=== Entry Logic ===" +input int InpPeakBars = 2; // Bars to confirm peak/bottom +input bool InpRequireDivergence = false; // Require divergence confirmation (optional) + +input group "=== Risk Management ===" +input double InpStopLossATR = 2.75; // Stop Loss (ATR multiples) +input double InpTakeProfitATR = 5.0; // Take Profit (ATR multiples) +input int InpATRPeriod = 14; // ATR Period +input bool InpUseSwingStopLoss = false; // Use previous swing high/low for stop loss +input int InpSwingLookback = 30; // Bars to look back for swing points + +input group "=== Position Management ===" +input int InpMaxPositions = 1; // Max Simultaneous Positions +input int InpMinBarsBetweenTrades = 7; // Min Bars Between Trades + +//--- Global Variables +CTrade trade; +CPositionInfo positionInfo; + +string actualSymbol; +int rsiHandle = INVALID_HANDLE; +int atrHandle = INVALID_HANDLE; + +double rsiBuffer[]; +double atrBuffer[]; +double highBuffer[]; +double lowBuffer[]; + +// RSI state tracking +bool rsiWasOverbought = false; // RSI was above 70 +bool rsiWasOversold = false; // RSI was below 30 +bool rsiBackInRange = false; // RSI came back into range +datetime lastRSIExitTime = 0; // When RSI left the range +datetime lastRSIReentryTime = 0; // When RSI came back in + +// Trade tracking +datetime lastTradeTime = 0; +int barsSinceLastTrade = 0; + +datetime lastBarTime = 0; + +//+------------------------------------------------------------------+ +//| Expert initialization function | +//+------------------------------------------------------------------+ +int OnInit() +{ + // Determine actual symbol + if(InpSymbol == "" || InpSymbol == NULL) + actualSymbol = _Symbol; + else + actualSymbol = InpSymbol; + + // Check if symbol exists + if(!SymbolInfoInteger(actualSymbol, SYMBOL_SELECT)) + { + Print("Error: Symbol ", actualSymbol, " not found. Using chart symbol."); + actualSymbol = _Symbol; + } + + // Initialize RSI indicator + rsiHandle = iRSI(actualSymbol, InpTimeframe, InpRSIPeriod, PRICE_CLOSE); + if(rsiHandle == INVALID_HANDLE) + { + Print("Error creating RSI indicator"); + return INIT_FAILED; + } + ArraySetAsSeries(rsiBuffer, true); + + // Initialize ATR indicator + atrHandle = iATR(actualSymbol, InpTimeframe, InpATRPeriod); + if(atrHandle == INVALID_HANDLE) + { + Print("Error creating ATR indicator"); + return INIT_FAILED; + } + ArraySetAsSeries(atrBuffer, true); + + // Initialize price buffers + ArraySetAsSeries(highBuffer, true); + ArraySetAsSeries(lowBuffer, true); + + // Set trade parameters + trade.SetExpertMagicNumber(InpMagicNumber); + trade.SetDeviationInPoints(InpSlippage); + trade.SetTypeFilling(ORDER_FILLING_FOK); + + Print("=== RSI Secret Sauce Strategy Initialized ==="); + Print("Symbol: ", actualSymbol); + Print("Timeframe: ", EnumToString(InpTimeframe)); + Print("RSI Period: ", InpRSIPeriod, " | Overbought: ", InpRSIOverbought, " | Oversold: ", InpRSIOversold); + Print("Stop Loss: ", InpStopLossATR, "x ATR | Take Profit: ", InpTakeProfitATR, "x ATR"); + + return INIT_SUCCEEDED; +} + +//+------------------------------------------------------------------+ +//| Expert deinitialization function | +//+------------------------------------------------------------------+ +void OnDeinit(const int reason) +{ + if(rsiHandle != INVALID_HANDLE) + IndicatorRelease(rsiHandle); + if(atrHandle != INVALID_HANDLE) + IndicatorRelease(atrHandle); + + Print("Expert Advisor deinitialized. Reason: ", reason); +} + +//+------------------------------------------------------------------+ +//| Expert tick function | +//+------------------------------------------------------------------+ +void OnTick() +{ + // Check if we have enough bars + int requiredBars = MathMax(InpRSILookback, InpSwingLookback) + 10; + if(Bars(actualSymbol, InpTimeframe) < requiredBars) + return; + + // Check if this is a new bar (wait for candle close) + datetime currentBarTime = iTime(actualSymbol, InpTimeframe, 0); + if(currentBarTime == lastBarTime) + return; // Still the same bar, don't process + + lastBarTime = currentBarTime; + + // Update indicators + if(!UpdateIndicators()) + return; + + // Update RSI state tracking + UpdateRSIState(); + + // Check existing positions + CheckExistingPositions(); + + // Check for entry signals + if(CanOpenNewPosition()) + { + CheckEntrySignals(); + } +} + +//+------------------------------------------------------------------+ +//| Update indicator values | +//+------------------------------------------------------------------+ +bool UpdateIndicators() +{ + // Update RSI (need enough bars for lookback) + int rsiBarsNeeded = InpRSILookback + 5; + if(CopyBuffer(rsiHandle, 0, 0, rsiBarsNeeded, rsiBuffer) < rsiBarsNeeded) + return false; + + // Update ATR + if(CopyBuffer(atrHandle, 0, 0, 2, atrBuffer) < 2) + return false; + + // Update price buffers for swing detection + if(CopyHigh(actualSymbol, InpTimeframe, 0, InpSwingLookback + 5, highBuffer) < InpSwingLookback + 5) + return false; + if(CopyLow(actualSymbol, InpTimeframe, 0, InpSwingLookback + 5, lowBuffer) < InpSwingLookback + 5) + return false; + + return true; +} + +//+------------------------------------------------------------------+ +//| Update RSI state tracking | +//+------------------------------------------------------------------+ +void UpdateRSIState() +{ + double rsiCurrent = rsiBuffer[0]; + double rsiPrev = rsiBuffer[1]; + + // Check if RSI left overbought zone (was above 70, now below 70) + if(rsiPrev >= InpRSIOverbought && rsiCurrent < InpRSIOverbought) + { + rsiWasOverbought = true; + rsiBackInRange = true; + lastRSIExitTime = TimeCurrent(); + lastRSIReentryTime = TimeCurrent(); + Print(TimeToString(TimeCurrent()), " - RSI left overbought zone (", rsiPrev, " -> ", rsiCurrent, ")"); + } + + // Check if RSI left oversold zone (was below 30, now above 30) + if(rsiPrev <= InpRSIOversold && rsiCurrent > InpRSIOversold) + { + rsiWasOversold = true; + rsiBackInRange = true; + lastRSIExitTime = TimeCurrent(); + lastRSIReentryTime = TimeCurrent(); + Print(TimeToString(TimeCurrent()), " - RSI left oversold zone (", rsiPrev, " -> ", rsiCurrent, ")"); + } + + // Reset flags if RSI goes back to extreme + if(rsiCurrent >= InpRSIOverbought) + { + rsiWasOverbought = false; + rsiBackInRange = false; + } + + if(rsiCurrent <= InpRSIOversold) + { + rsiWasOversold = false; + rsiBackInRange = false; + } +} + +//+------------------------------------------------------------------+ +//| Check if we can open a new position | +//+------------------------------------------------------------------+ +bool CanOpenNewPosition() +{ + // Check max positions + int positionCount = 0; + for(int i = PositionsTotal() - 1; i >= 0; i--) + { + if(positionInfo.SelectByIndex(i)) + { + if(positionInfo.Symbol() == actualSymbol && positionInfo.Magic() == InpMagicNumber) + positionCount++; + } + } + + if(positionCount >= InpMaxPositions) + return false; + + // Check minimum bars between trades + if(lastTradeTime > 0) + { + int barsSince = Bars(actualSymbol, InpTimeframe, lastTradeTime, TimeCurrent()); + if(barsSince < InpMinBarsBetweenTrades) + return false; + } + + return true; +} + +//+------------------------------------------------------------------+ +//| Check for entry signals | +//+------------------------------------------------------------------+ +void CheckEntrySignals() +{ + // LONG Entry: RSI was overbought (>70), came back in range, now look for peak + if(rsiWasOverbought && rsiBackInRange) + { + // Check if RSI is back in normal range (below 70) + if(rsiBuffer[0] < InpRSIOverbought) + { + // Look for a peak in RSI after re-entry + if(IsRSIPeak()) + { + Print(TimeToString(TimeCurrent()), " - LONG Signal: RSI peak detected after leaving overbought zone"); + OpenPosition(POSITION_TYPE_BUY); + } + } + } + + // SHORT Entry: RSI was oversold (<30), came back in range, now look for bottom + if(rsiWasOversold && rsiBackInRange) + { + // Check if RSI is back in normal range (above 30) + if(rsiBuffer[0] > InpRSIOversold) + { + // Look for a bottom in RSI after re-entry + if(IsRSIBottom()) + { + Print(TimeToString(TimeCurrent()), " - SHORT Signal: RSI bottom detected after leaving oversold zone"); + OpenPosition(POSITION_TYPE_SELL); + } + } + } +} + +//+------------------------------------------------------------------+ +//| Check if RSI is forming a peak (for LONG entry) | +//+------------------------------------------------------------------+ +bool IsRSIPeak() +{ + // We need at least InpPeakBars + 1 bars to confirm a peak + if(ArraySize(rsiBuffer) < InpPeakBars + 2) + return false; + + // Check if current RSI is higher than previous bars (forming a peak) + double currentRSI = rsiBuffer[0]; + bool isPeak = true; + + // Check if current is higher than the next few bars + for(int i = 1; i <= InpPeakBars; i++) + { + if(rsiBuffer[i] >= currentRSI) + { + isPeak = false; + break; + } + } + + // Also check if previous bar was lower (confirming upward movement before peak) + if(rsiBuffer[1] >= currentRSI) + isPeak = false; + + return isPeak; +} + +//+------------------------------------------------------------------+ +//| Check if RSI is forming a bottom (for SHORT entry) | +//+------------------------------------------------------------------+ +bool IsRSIBottom() +{ + // We need at least InpPeakBars + 1 bars to confirm a bottom + if(ArraySize(rsiBuffer) < InpPeakBars + 2) + return false; + + // Check if current RSI is lower than previous bars (forming a bottom) + double currentRSI = rsiBuffer[0]; + bool isBottom = true; + + // Check if current is lower than the next few bars + for(int i = 1; i <= InpPeakBars; i++) + { + if(rsiBuffer[i] <= currentRSI) + { + isBottom = false; + break; + } + } + + // Also check if previous bar was higher (confirming downward movement before bottom) + if(rsiBuffer[1] <= currentRSI) + isBottom = false; + + return isBottom; +} + +//+------------------------------------------------------------------+ +//| Open position | +//+------------------------------------------------------------------+ +void OpenPosition(ENUM_POSITION_TYPE type) +{ + double price = (type == POSITION_TYPE_BUY) ? + SymbolInfoDouble(actualSymbol, SYMBOL_ASK) : + SymbolInfoDouble(actualSymbol, SYMBOL_BID); + + if(price <= 0) + return; + + // Calculate stop loss and take profit + double sl = 0.0, tp = 0.0; + if(!CalculateStops(price, type, sl, tp)) + { + Print("Error: Failed to calculate stops"); + return; + } + + string comment = "RSI_Secret_" + (type == POSITION_TYPE_BUY ? "LONG" : "SHORT"); + + bool result = false; + if(type == POSITION_TYPE_BUY) + result = trade.Buy(InpLotSize, actualSymbol, 0, sl, tp, comment); + else + result = trade.Sell(InpLotSize, actualSymbol, 0, sl, tp, comment); + + if(result) + { + lastTradeTime = TimeCurrent(); + ulong ticket = trade.ResultOrder(); + Print(TimeToString(TimeCurrent()), " - Position opened: ", comment, " Ticket: ", ticket, + " Price: ", price, " SL: ", sl, " TP: ", tp); + + // Reset RSI state after opening position + if(type == POSITION_TYPE_BUY) + rsiWasOverbought = false; + else + rsiWasOversold = false; + rsiBackInRange = false; + } + else + { + Print("Failed to open position: ", comment, " Error: ", + trade.ResultRetcode(), " - ", trade.ResultRetcodeDescription()); + } +} + +//+------------------------------------------------------------------+ +//| Calculate stop loss and take profit | +//+------------------------------------------------------------------+ +bool CalculateStops(double price, ENUM_POSITION_TYPE type, double &sl, double &tp) +{ + double atrValue = atrBuffer[0]; + if(atrValue <= 0) + atrValue = price * 0.01; // Fallback: 1% of price + + double slDistance = atrValue * InpStopLossATR; + double tpDistance = atrValue * InpTakeProfitATR; + + int digits = (int)SymbolInfoInteger(actualSymbol, SYMBOL_DIGITS); + double point = SymbolInfoDouble(actualSymbol, SYMBOL_POINT); + int stopsLevel = (int)SymbolInfoInteger(actualSymbol, SYMBOL_TRADE_STOPS_LEVEL); + double minStopDistance = MathMax(stopsLevel * point, point * 10); + + // Use swing-based stop loss if enabled + if(InpUseSwingStopLoss) + { + double swingStop = GetSwingStopLoss(price, type); + if(swingStop > 0) + { + if(type == POSITION_TYPE_BUY) + { + if(swingStop < price && (price - swingStop) > minStopDistance) + slDistance = price - swingStop; + } + else + { + if(swingStop > price && (swingStop - price) > minStopDistance) + slDistance = swingStop - price; + } + } + } + + // Ensure minimum distance + if(slDistance < minStopDistance) + slDistance = minStopDistance; + if(tpDistance < minStopDistance) + tpDistance = minStopDistance; + + if(type == POSITION_TYPE_BUY) + { + sl = NormalizeDouble(price - slDistance, digits); + tp = NormalizeDouble(price + tpDistance, digits); + } + else + { + sl = NormalizeDouble(price + slDistance, digits); + tp = NormalizeDouble(price - tpDistance, digits); + } + + return true; +} + +//+------------------------------------------------------------------+ +//| Get swing-based stop loss (previous swing high/low) | +//+------------------------------------------------------------------+ +double GetSwingStopLoss(double currentPrice, ENUM_POSITION_TYPE type) +{ + // For LONG: find previous swing low + // For SHORT: find previous swing high + + if(type == POSITION_TYPE_BUY) + { + // Find the lowest low in the lookback period + double lowestLow = lowBuffer[0]; + for(int i = 1; i < InpSwingLookback && i < ArraySize(lowBuffer); i++) + { + if(lowBuffer[i] < lowestLow) + lowestLow = lowBuffer[i]; + } + return lowestLow; + } + else + { + // Find the highest high in the lookback period + double highestHigh = highBuffer[0]; + for(int i = 1; i < InpSwingLookback && i < ArraySize(highBuffer); i++) + { + if(highBuffer[i] > highestHigh) + highestHigh = highBuffer[i]; + } + return highestHigh; + } +} + +//+------------------------------------------------------------------+ +//| Check existing positions | +//+------------------------------------------------------------------+ +void CheckExistingPositions() +{ + // Position management can be added here if needed + // For now, positions are managed by TP/SL +} + +//+------------------------------------------------------------------+ diff --git a/lab/EAs/SimpleTrendlineTSLA/SimpleTrendline.mq5 b/frontline/units_economic_calendar/SimpleTrendlineBTCUSD/SimpleTrendline.mq5 similarity index 94% rename from lab/EAs/SimpleTrendlineTSLA/SimpleTrendline.mq5 rename to frontline/units_economic_calendar/SimpleTrendlineBTCUSD/SimpleTrendline.mq5 index c869eeb..6476f77 100644 --- a/lab/EAs/SimpleTrendlineTSLA/SimpleTrendline.mq5 +++ b/frontline/units_economic_calendar/SimpleTrendlineBTCUSD/SimpleTrendline.mq5 @@ -3,13 +3,13 @@ #include -input ENUM_TIMEFRAMES InpHigherTF = PERIOD_M10; // Higher timeframe for MA/cross points -input int InpMAPeriod = 65; // MA period -input ENUM_MA_METHOD InpMAMethod = MODE_EMA; // MA method +input ENUM_TIMEFRAMES InpHigherTF = PERIOD_H4; // Higher timeframe for MA/cross points +input int InpMAPeriod = 150; // MA period +input ENUM_MA_METHOD InpMAMethod = MODE_SMMA; // MA method input ENUM_APPLIED_PRICE InpAppliedPrice = PRICE_OPEN; // MA applied price -input int InpHTFBarsToScan = 500; // HTF bars to scan for crossings -input double InpLineTouchTolerance = 220; // Pullback touch tolerance (points) -input double InpBreakBuffer = 110; // Break confirmation buffer (points) +input int InpHTFBarsToScan = 1200; // HTF bars to scan for crossings +input double InpLineTouchTolerance = 170; // Pullback touch tolerance (points) +input double InpBreakBuffer = 90; // Break confirmation buffer (points) input double InpLots = 0.10; // Position size input long InpMagic = 26042501; // Magic number input bool InpDrawTrendline = true; // Draw detected trendline diff --git a/frontline/units_economic_calendar/SimpleTrendlineBTCUSD/SimpleTrendline_optimization.set b/frontline/units_economic_calendar/SimpleTrendlineBTCUSD/SimpleTrendline_optimization.set new file mode 100644 index 0000000..10ea2ee --- /dev/null +++ b/frontline/units_economic_calendar/SimpleTrendlineBTCUSD/SimpleTrendline_optimization.set @@ -0,0 +1,14 @@ +; SimpleTrendline.mq5 optimization preset +; Strategy Tester -> Inputs -> Load +; Focus: trendline pullback entries + break exits (no broker SL/TP) +; +InpHigherTF=16385||16385||0||16388||Y +InpMAPeriod=50||20||5||200||Y +InpMAMethod=1||0||1||3||Y +InpAppliedPrice=0||0||1||6||Y +InpHTFBarsToScan=400||200||100||1200||Y +InpLineTouchTolerance=100.0||30.0||10.0||300.0||Y +InpBreakBuffer=30.0||5.0||5.0||120.0||Y +InpLots=0.10||0.10||0.01||0.10||N +InpMagic=26042501||26042501||1||26042501||N +InpDrawTrendline=false||false||0||true||N diff --git a/frontline/units_economic_calendar/USDJPYBuster/USDJPYBuster.mq5 b/frontline/units_economic_calendar/USDJPYBuster/USDJPYBuster.mq5 new file mode 100644 index 0000000..f861ea2 --- /dev/null +++ b/frontline/units_economic_calendar/USDJPYBuster/USDJPYBuster.mq5 @@ -0,0 +1,80 @@ +//+------------------------------------------------------------------+ +//| USDJPYBuster.mq5 | +//| Standalone wrapper — logic in Strategies/USDJPYBusterStrategy.mqh | +//+------------------------------------------------------------------+ +#property copyright "Lab" +#property link "" +#property version "1.02" +#property description "USDJPY Asian range breakout (Ian style). See cluster Strategies/USDJPYBusterStrategy.mqh." + +#include +#include "../../cluster-latest/Strategies/USDJPYBusterStrategy.mqh" + +input group "=== Symbol ===" +input string InpSymbol = "USDJPY"; + +input group "=== Range session (broker server time) ===" +input int InpRangeStartHour = 3; +input int InpRangeEndHour = 6; +input int InpCloseHour = 18; +input ENUM_TIMEFRAMES InpRangeTF = PERIOD_M1; +input int InpMinRangePoints = 5; +input double InpOrderBufferPoints = 1.0; + +input group "=== Breakout orders ===" +input bool InpFirstTradeOnly = false; +input bool InpAllowLong = true; +input bool InpAllowShort = true; +input bool InpUseTakeProfit = false; +input double InpTakeProfitPoints = 0.0; + +input group "=== Risk ===" +input ENUM_UB_RISK_MODE InpRiskMode = UB_RISK_FIXED_MONEY; +input double InpFixedRiskMoney = 650.0; +input double InpRiskPercent = 2.1; +input double InpFixedLots = 0.01; +input int InpMagic = 927002; +input int InpSlippagePoints = 20; +input int InpMaxSpreadPoints = 5; + +input group "=== Debug ===" +input bool InpDrawRange = false; +input bool InpDebugLog = false; + +USDJPYBusterData g_ub; + +string WorkSymbol() +{ + string s = InpSymbol; + StringTrimLeft(s); + StringTrimRight(s); + const int bar = StringFind(s, "|"); + if(bar >= 0) + s = StringSubstr(s, 0, bar); + StringTrimRight(s); + return (StringLen(s) > 0 ? s : _Symbol); +} + +int OnInit() +{ + return InitUSDJPYBuster(g_ub, WorkSymbol(), + InpRangeStartHour, InpRangeEndHour, InpCloseHour, InpRangeTF, + InpMinRangePoints, InpOrderBufferPoints, + InpFirstTradeOnly, InpAllowLong, InpAllowShort, + InpUseTakeProfit, InpTakeProfitPoints, + InpRiskMode, InpFixedRiskMoney, InpRiskPercent, InpFixedLots, + InpMagic, InpSlippagePoints, InpMaxSpreadPoints, + InpDrawRange, InpDebugLog) ? INIT_SUCCEEDED : INIT_FAILED; +} + +void OnDeinit(const int reason) +{ + DeinitUSDJPYBuster(g_ub); +} + +void OnTick() +{ + ProcessUSDJPYBuster(g_ub, InpFixedLots, 1.0); +} + +//+------------------------------------------------------------------+ diff --git a/lab/EAs/CandleChartPattern/CandleChartPattern_Genetic_Optimization.set b/lab/EAs/CandleChartPattern/CandleChartPattern_Genetic_Optimization.set deleted file mode 100644 index 86c6f65..0000000 --- a/lab/EAs/CandleChartPattern/CandleChartPattern_Genetic_Optimization.set +++ /dev/null @@ -1,26 +0,0 @@ -; CandleChartPattern/main.mq5 — Strategy Tester → Inputs → Load -; Format: Name=Value||From||Step||To||Optimize(Y/N) -; Value = load default (aligned with EA + Desktop 123.set 2026.05.14). From/Step/To used when Y. -; -; === Market === -InpSymbol= -InpLots=0.01||0.01||0.01||0.2||N -InpMagic=771001||771001||1||771001||N -InpSlippagePoints=30||30||1||300||N -InpMaxSpreadPoints=50||10||5||200||Y -; === Timeframes === -; Enum timeframes: keep fixed during optimization (change manually if needed). -InpSignalTF=15||0||0||49153||N -InpConfirmTF=16385||0||0||49153||N -; === Patterns (signal TF, shift 1) === -InpUseEngulfing=true||false||0||true||Y -InpUseHammerPin=true||false||0||true||Y -InpMinBodyPoints=5.0||2.0||0.5||25.0||Y -InpHammerWickRatio=2.0||1.2||0.1||4.0||Y -; === HTF confirmation === -InpRequireHtfCandleDir=true||false||0||true||Y -InpRequireHtfPattern=false||false||0||true||Y -; === Behaviour === -InpOnlyOnePosition=true||false||0||true||N -InpCloseOnReverseSignal=true||false||0||true||Y -InpCloseOnAdversePattern=true||false||0||true||Y diff --git a/lab/EAs/CandleChartPattern/main.mq5 b/lab/EAs/CandleChartPattern/main.mq5 deleted file mode 100644 index 2048753..0000000 --- a/lab/EAs/CandleChartPattern/main.mq5 +++ /dev/null @@ -1,332 +0,0 @@ -//+------------------------------------------------------------------+ -//| CandleChartPattern.mq5 | -//| Lab EA: candle patterns on signal TF + HTF confirmation. | -//| No SL/TP. Exit on opposite signal or adverse pattern. | -//+------------------------------------------------------------------+ -#property copyright "Lab" -#property link "" -#property version "1.01" -#property strict - -#include - -input group "=== Market ===" -input string InpSymbol = ""; // empty = chart symbol -input double InpLots = 0.01; -input int InpMagic = 771001; -input int InpSlippagePoints = 30; -input int InpMaxSpreadPoints = 50; // 0 = ignore - -input group "=== Timeframes ===" -input ENUM_TIMEFRAMES InpSignalTF = PERIOD_M15; // patterns evaluated here (bar 1 = last closed) -input ENUM_TIMEFRAMES InpConfirmTF = PERIOD_H1; // must be >= InpSignalTF for stable bias (not enforced) - -input group "=== Patterns (signal TF, shift 1) ===" -input bool InpUseEngulfing = true; -input bool InpUseHammerPin = true; -input double InpMinBodyPoints = 5.0; // min body size for engulfing (points) -input double InpHammerWickRatio = 2.0; // shadow >= ratio * body for hammer/pin - -input group "=== HTF confirmation ===" -input bool InpRequireHtfCandleDir = true; // HTF last closed bar same direction as trade idea -input bool InpRequireHtfPattern = false; // if true, same pattern class must also print on HTF bar 1 - -input group "=== Behaviour ===" -input bool InpOnlyOnePosition = true; -input bool InpCloseOnReverseSignal = true; // close long if validated short setup appears (and vice versa) -input bool InpCloseOnAdversePattern = true; // close long on bearish engulf / bear pin on signal or HTF - -CTrade g_trade; -string g_sym; -datetime g_lastSignalBarTime = 0; - -ENUM_ORDER_TYPE_FILLING ResolveFilling(const string sym) -{ - const long mask = SymbolInfoInteger(sym, SYMBOL_FILLING_MODE); - if((mask & SYMBOL_FILLING_IOC) == SYMBOL_FILLING_IOC) - return ORDER_FILLING_IOC; - if((mask & SYMBOL_FILLING_FOK) == SYMBOL_FILLING_FOK) - return ORDER_FILLING_FOK; - return ORDER_FILLING_RETURN; -} - -bool SpreadOk(const string sym) -{ - if(InpMaxSpreadPoints <= 0) - return true; - const double point = SymbolInfoDouble(sym, SYMBOL_POINT); - if(point <= 0.0) - return false; - const double spreadPts = (SymbolInfoDouble(sym, SYMBOL_ASK) - SymbolInfoDouble(sym, SYMBOL_BID)) / point; - return (spreadPts <= (double)InpMaxSpreadPoints); -} - -bool IsNewSignalBar() -{ - const datetime t = iTime(g_sym, InpSignalTF, 0); - if(t <= 0) - return false; - if(t == g_lastSignalBarTime) - return false; - g_lastSignalBarTime = t; - return true; -} - -double BodyPoints(const string s, const ENUM_TIMEFRAMES tf, const int sh) -{ - const double o = iOpen(s, tf, sh); - const double c = iClose(s, tf, sh); - const double point = SymbolInfoDouble(s, SYMBOL_POINT); - if(point <= 0.0) - return 0.0; - return MathAbs(c - o) / point; -} - -bool BullishEngulfing(const string s, const ENUM_TIMEFRAMES tf, const int sh) -{ - if(!InpUseEngulfing) - return false; - const double o1 = iOpen(s, tf, sh); - const double c1 = iClose(s, tf, sh); - const double o2 = iOpen(s, tf, sh + 1); - const double c2 = iClose(s, tf, sh + 1); - if(c2 >= o2) - return false; - if(c1 <= o1) - return false; - if(BodyPoints(s, tf, sh) < InpMinBodyPoints || BodyPoints(s, tf, sh + 1) < InpMinBodyPoints) - return false; - return (o1 <= c2 && c1 >= o2); -} - -bool BearishEngulfing(const string s, const ENUM_TIMEFRAMES tf, const int sh) -{ - if(!InpUseEngulfing) - return false; - const double o1 = iOpen(s, tf, sh); - const double c1 = iClose(s, tf, sh); - const double o2 = iOpen(s, tf, sh + 1); - const double c2 = iClose(s, tf, sh + 1); - if(c2 <= o2) - return false; - if(c1 >= o1) - return false; - if(BodyPoints(s, tf, sh) < InpMinBodyPoints || BodyPoints(s, tf, sh + 1) < InpMinBodyPoints) - return false; - return (o1 >= c2 && c1 <= o2); -} - -bool BullishHammer(const string s, const ENUM_TIMEFRAMES tf, const int sh) -{ - if(!InpUseHammerPin) - return false; - const double o = iOpen(s, tf, sh); - const double c = iClose(s, tf, sh); - const double h = iHigh(s, tf, sh); - const double l = iLow(s, tf, sh); - const double body = MathAbs(c - o); - const double lower = MathMin(o, c) - l; - const double upper = h - MathMax(o, c); - const double point = SymbolInfoDouble(s, SYMBOL_POINT); - if(point <= 0.0 || body < point * 0.1) - return false; - return (lower >= InpHammerWickRatio * body && upper <= body); -} - -bool BearishPinBar(const string s, const ENUM_TIMEFRAMES tf, const int sh) -{ - if(!InpUseHammerPin) - return false; - const double o = iOpen(s, tf, sh); - const double c = iClose(s, tf, sh); - const double h = iHigh(s, tf, sh); - const double l = iLow(s, tf, sh); - const double body = MathAbs(c - o); - const double lower = MathMin(o, c) - l; - const double upper = h - MathMax(o, c); - const double point = SymbolInfoDouble(s, SYMBOL_POINT); - if(point <= 0.0 || body < point * 0.1) - return false; - return (upper >= InpHammerWickRatio * body && lower <= body); -} - -bool BullishPatternBar(const string s, const ENUM_TIMEFRAMES tf, const int sh) -{ - return BullishEngulfing(s, tf, sh) || BullishHammer(s, tf, sh); -} - -bool BearishPatternBar(const string s, const ENUM_TIMEFRAMES tf, const int sh) -{ - return BearishEngulfing(s, tf, sh) || BearishPinBar(s, tf, sh); -} - -bool HtfBullishClosedBar(const string s, const ENUM_TIMEFRAMES htf) -{ - return (iClose(s, htf, 1) > iOpen(s, htf, 1)); -} - -bool HtfBearishClosedBar(const string s, const ENUM_TIMEFRAMES htf) -{ - return (iClose(s, htf, 1) < iOpen(s, htf, 1)); -} - -bool ConfirmLong(const string s) -{ - if(!InpRequireHtfCandleDir && !InpRequireHtfPattern) - return true; - - if(InpRequireHtfCandleDir && !HtfBullishClosedBar(s, InpConfirmTF)) - return false; - - if(InpRequireHtfPattern && !BullishPatternBar(s, InpConfirmTF, 1)) - return false; - - return true; -} - -bool ConfirmShort(const string s) -{ - if(!InpRequireHtfCandleDir && !InpRequireHtfPattern) - return true; - - if(InpRequireHtfCandleDir && !HtfBearishClosedBar(s, InpConfirmTF)) - return false; - - if(InpRequireHtfPattern && !BearishPatternBar(s, InpConfirmTF, 1)) - return false; - - return true; -} - -bool ValidatedLongSetup(const string s) -{ - if(!BullishPatternBar(s, InpSignalTF, 1)) - return false; - return ConfirmLong(s); -} - -bool ValidatedShortSetup(const string s) -{ - if(!BearishPatternBar(s, InpSignalTF, 1)) - return false; - return ConfirmShort(s); -} - -bool HasOurPosition(const string s, const int magic, int &dir) -{ - dir = -1; - for(int i = PositionsTotal() - 1; i >= 0; i--) - { - const ulong ticket = PositionGetTicket(i); - if(ticket == 0 || !PositionSelectByTicket(ticket)) - continue; - if(PositionGetString(POSITION_SYMBOL) != s) - continue; - if((int)PositionGetInteger(POSITION_MAGIC) != magic) - continue; - const long typ = PositionGetInteger(POSITION_TYPE); - dir = (typ == POSITION_TYPE_BUY) ? 0 : 1; - return true; - } - return false; -} - -bool CloseOurPositions(const string s, const int magic) -{ - bool ok = true; - for(int i = PositionsTotal() - 1; i >= 0; i--) - { - const ulong ticket = PositionGetTicket(i); - if(ticket == 0 || !PositionSelectByTicket(ticket)) - continue; - if(PositionGetString(POSITION_SYMBOL) != s) - continue; - if((int)PositionGetInteger(POSITION_MAGIC) != magic) - continue; - if(!g_trade.PositionClose(ticket)) - ok = false; - } - return ok; -} - -int OnInit() -{ - g_sym = (StringLen(InpSymbol) == 0) ? _Symbol : InpSymbol; - if(!SymbolSelect(g_sym, true)) - { - Print("SymbolSelect failed: ", g_sym); - return INIT_FAILED; - } - - g_trade.SetExpertMagicNumber(InpMagic); - g_trade.SetDeviationInPoints(InpSlippagePoints); - g_trade.SetTypeFilling(ResolveFilling(g_sym)); - - return INIT_SUCCEEDED; -} - -void OnDeinit(const int reason) -{ -} - -void OnTick() -{ - if(!IsNewSignalBar()) - return; - - if(Bars(g_sym, InpSignalTF) < 5 || Bars(g_sym, InpConfirmTF) < 5) - return; - - if(!SpreadOk(g_sym)) - return; - - const bool longSetup = ValidatedLongSetup(g_sym); - const bool shortSetup = ValidatedShortSetup(g_sym); - - int dir = -1; - bool has = HasOurPosition(g_sym, InpMagic, dir); - - if(has) - { - if(dir == 0) - { - bool adverse = false; - if(InpCloseOnAdversePattern) - { - if(BearishPatternBar(g_sym, InpSignalTF, 1) || BearishPatternBar(g_sym, InpConfirmTF, 1)) - adverse = true; - } - const bool reverse = (InpCloseOnReverseSignal && shortSetup); - if(adverse || reverse) - CloseOurPositions(g_sym, InpMagic); - } - else if(dir == 1) - { - bool adverse = false; - if(InpCloseOnAdversePattern) - { - if(BullishPatternBar(g_sym, InpSignalTF, 1) || BullishPatternBar(g_sym, InpConfirmTF, 1)) - adverse = true; - } - const bool reverse = (InpCloseOnReverseSignal && longSetup); - if(adverse || reverse) - CloseOurPositions(g_sym, InpMagic); - } - } - - has = HasOurPosition(g_sym, InpMagic, dir); - - if(InpOnlyOnePosition && has) - return; - - if(longSetup && !shortSetup) - { - const double ask = SymbolInfoDouble(g_sym, SYMBOL_ASK); - g_trade.Buy(InpLots, g_sym, ask, 0.0, 0.0, "CandlePattern long"); - } - else if(shortSetup && !longSetup) - { - const double bid = SymbolInfoDouble(g_sym, SYMBOL_BID); - g_trade.Sell(InpLots, g_sym, bid, 0.0, 0.0, "CandlePattern short"); - } -} diff --git a/lab/EAs/CocktailPlus.mq5 b/lab/EAs/CocktailPlus.mq5 deleted file mode 100644 index e0c449c..0000000 --- a/lab/EAs/CocktailPlus.mq5 +++ /dev/null @@ -1,1069 +0,0 @@ -//+------------------------------------------------------------------+ -//| EMACrossOver.mq5 | -//| Copyright 2025, MetaQuotes Ltd. | -//| https://www.mql5.com | -//+------------------------------------------------------------------+ -#property link "https://www.mql5.com" -#property copyright "Copyright 2025, MetaQuotes Ltd." -#property version "1.00" -#include -//--- Eingabeparameter (Input Parameters) - Optimized Profitable Parameters -input int EMA_Periode = 51; // EMA Periode -input double PreisSchwelle = 300.0; // Preisbewegung Schwelle in Pips -input double SteigungSchwelle = 40.0; // EMA Steigung Schwelle in Pips -input int ÜberwachungTimeout = 1600; // Überwachungszeit in Sekunden -input double TrailingStop = 100.0; // Gleitender Stop in Pips -input double LotGröße = 0.03; // Handelsvolumen -input int MagicNumber = 12350; // Magic Number für Trades -input bool UseSpreadAdjustment = true; // Spread-Anpassung verwenden -input ENUM_TIMEFRAMES Timeframe = PERIOD_H1; // Zeitraum für Analyse -input bool UseBarData = true; // Bar-Daten statt Tick-Daten verwenden -input int MaxTradesPerCrossover = 6; // Maximale Trades pro Crossover-Ereignis -input int ProfitCheckBars = 11; // Bars bis zur Profit-Prüfung -input bool CloseUnprofitableTrades = true; // Unprofitable Trades nach X Bars schließen -//--- V-Shape Reversal Protection Parameters -input bool UseRSIFilter = true; // RSI Filter verwenden (vermeidet Extreme) -input int RSIPeriod = 14; // RSI Periode -input double RSIOverbought = 71.0; // RSI Überkauft Level -input double RSIOversold = 31.0; // RSI Überverkauft Level -input bool UseMomentumConfirmation = true; // Momentum-Bestätigung verwenden -input int MomentumBars = 5; // Bars für Momentum-Prüfung -input bool UsePullbackConfirmation = true; // Pullback-Bestätigung verwenden -input double PullbackThreshold = 0.5; // Pullback-Schwelle (50% der Bewegung) -input bool UseEarlyReversalDetection = true; // Frühe Reversal-Erkennung -input double ReversalThreshold = 0.5; // Reversal-Schwelle (50% Rückgang) -input bool UseMAEProtection = true; // Maximum Adverse Excursion Schutz -input double MAEThreshold = 150.0; // MAE Schwelle in Pips -input int MAECheckBars = 5; // Bars für MAE-Prüfung -//--- V-Shape Reversal Trading Parameters -input bool UseVShapeReversalTrading = true; // V-Shape Reversal Trading aktivieren -input double VShapeReversalStopLoss = 100.0; // Stop Loss für V-Shape Reversal Trades (Pips) -input double VShapeReversalLotSize = 0.01; // Lot-Größe für V-Shape Trades (konservativer) -input bool UseRSI50Crossover = false; // RSI 50 Crossover für Haupt-Trades verwenden -input int RSICrossBars = 4; // Bars für RSI Crossover Bestätigung - -//--- Globale Variablen (Global Variables) -int ema_handle; // EMA Indicator Handle -int rsi_handle; // RSI Indicator Handle -double ema_array[]; // Array für EMA -double rsi_array[]; // Array für RSI -datetime letzte_überwachung_zeit; // Zeit der letzten Überwachung -bool überwachung_aktiv = false; // Überwachungsstatus -bool preis_trigger_aktiv = false; // Preis-Trigger Status -bool steigung_trigger_aktiv = false; // Steigungs-Trigger Status -int ticket = 0; // Trade Ticket -CTrade trade; // CTrade Objekt -int trades_in_current_crossover = 0; // Anzahl Trades im aktuellen Crossover -bool crossover_detected = false; // Crossover erkannt -datetime trade_open_time = 0; // Zeitpunkt des Trade-Öffnens -double entry_price = 0; // Einstiegspreis für MAE-Prüfung -double max_favorable_excursion = 0; // Maximale günstige Bewegung -double max_adverse_excursion = 0; // Maximale ungünstige Bewegung -double trigger_price = 0; // Preis beim Trigger für Pullback-Prüfung -bool is_vshape_trade = false; // Ist aktueller Trade ein V-Shape Reversal Trade -double last_rsi = 50.0; // Letzter RSI-Wert für Crossover-Erkennung -bool rsi_crossed_above_50 = false; // RSI über 50 gekreuzt -bool rsi_crossed_below_50 = false; // RSI unter 50 gekreuzt - -//+------------------------------------------------------------------+ -//| Expert initialization function | -//+------------------------------------------------------------------+ -int OnInit() - { - //--- CTrade konfigurieren (Configure CTrade) - trade.SetExpertMagicNumber(MagicNumber); - trade.SetDeviationInPoints(10); - trade.SetTypeFilling(ORDER_FILLING_IOC); - - //--- EMA Indicator Handle erstellen (Create EMA indicator handle) - ema_handle = iMA(_Symbol, Timeframe, EMA_Periode, 0, MODE_EMA, PRICE_CLOSE); - - if(ema_handle == INVALID_HANDLE) - { - Print("Fehler beim Erstellen des EMA Indicators"); - return(INIT_FAILED); - } - - //--- RSI Indicator Handle erstellen (Create RSI indicator handle) - if(UseRSIFilter || UseVShapeReversalTrading || UseRSI50Crossover) - { - rsi_handle = iRSI(_Symbol, Timeframe, RSIPeriod, PRICE_CLOSE); - - if(rsi_handle == INVALID_HANDLE) - { - Print("Fehler beim Erstellen des RSI Indicators"); - return(INIT_FAILED); - } - - ArraySetAsSeries(rsi_array, true); - - // Initialisiere RSI Tracking (Initialize RSI tracking) - if(UseRSI50Crossover) - { - BerechneRSI(); - if(ArraySize(rsi_array) > 0) - { - last_rsi = rsi_array[0]; - rsi_crossed_above_50 = (last_rsi > 50.0); - rsi_crossed_below_50 = (last_rsi < 50.0); - } - } - } - - //--- Arrays initialisieren (Initialize arrays) - ArraySetAsSeries(ema_array, true); - - //--- Arrays mit aktuellen Werten füllen (Fill arrays with current values) - BerechneEMA(); - if(UseRSIFilter) - { - BerechneRSI(); - } - - Print("EMA EA initialisiert - Periode: ", EMA_Periode, " Timeframe: ", EnumToString(Timeframe), " Handle: ", ema_handle); - if(UseRSIFilter) - { - Print("RSI Filter aktiviert - Periode: ", RSIPeriod); - } - return(INIT_SUCCEEDED); - } - -//+------------------------------------------------------------------+ -//| Expert deinitialization function | -//+------------------------------------------------------------------+ -void OnDeinit(const int reason) - { - //--- Indicator Handle freigeben (Release indicator handle) - if(ema_handle != INVALID_HANDLE) - { - IndicatorRelease(ema_handle); - } - - if((UseRSIFilter || UseVShapeReversalTrading || UseRSI50Crossover) && rsi_handle != INVALID_HANDLE) - { - IndicatorRelease(rsi_handle); - } - - Print("EA beendet - Grund: ", reason); -} - -//+------------------------------------------------------------------+ -//| Expert tick function | -//+------------------------------------------------------------------+ -void OnTick() - { - //--- Bar-Daten oder Tick-Daten verwenden (Use bar data or tick data) - if(UseBarData) - { - //--- Nur bei neuen Bars ausführen (Only execute on new bars) - static datetime last_bar_time = 0; - datetime current_bar_time = iTime(_Symbol, Timeframe, 0); - - if(current_bar_time == last_bar_time) - { - return; // Kein neuer Bar, nichts tun - } - - last_bar_time = current_bar_time; - } - - //--- EMA Werte berechnen (Calculate EMA values) - BerechneEMA(); - - //--- RSI Werte berechnen (Calculate RSI values) - if(UseRSIFilter || UseVShapeReversalTrading || UseRSI50Crossover) - { - BerechneRSI(); - - //--- RSI Crossover Tracking für Haupt-Trades (RSI Crossover tracking for main trades) - if(UseRSI50Crossover && ArraySize(rsi_array) >= 2) - { - double current_rsi = rsi_array[0]; - double previous_rsi = rsi_array[1]; - - // Prüfe RSI Crossover über 50 (Check RSI crossover above 50) - if(previous_rsi <= 50.0 && current_rsi > 50.0) - { - rsi_crossed_above_50 = true; - rsi_crossed_below_50 = false; - Print("TRACE: RSI über 50 gekreuzt - Vorher: ", previous_rsi, " Jetzt: ", current_rsi); - } - // Prüfe RSI Crossover unter 50 (Check RSI crossover below 50) - else if(previous_rsi >= 50.0 && current_rsi < 50.0) - { - rsi_crossed_below_50 = true; - rsi_crossed_above_50 = false; - Print("TRACE: RSI unter 50 gekreuzt - Vorher: ", previous_rsi, " Jetzt: ", current_rsi); - } - - last_rsi = current_rsi; - } - } - - //--- Debug: Aktuelle Werte ausgeben (Debug: Output current values) - if(ArraySize(ema_array) > 0) - { - double aktueller_close = iClose(_Symbol, Timeframe, 0); - double ema_aktuell = ema_array[0]; - double ema_vorher = ema_array[1]; - double preis_abstand = MathAbs(aktueller_close - ema_aktuell) / _Point; - double steigung = (ema_aktuell - ema_vorher) / _Point; - - if(UseBarData) - { - Print("=== DEBUG INFO (Neuer Bar) ==="); - Print("Bar Zeit: ", TimeToString(iTime(_Symbol, Timeframe, 0))); - } - else - { - Print("=== DEBUG INFO (Tick) ==="); - } - - Print("Aktueller Close: ", aktueller_close); - Print("EMA: ", ema_aktuell); - Print("Preis-Abstand: ", preis_abstand, " Pips"); - Print("EMA Steigung: ", steigung, " Pips"); - Print("Differenz Close-EMA: ", aktueller_close - ema_aktuell); - Print("Preis-Trigger: ", preis_trigger_aktiv, " Steigungs-Trigger: ", steigung_trigger_aktiv); - Print("Überwachung aktiv: ", überwachung_aktiv); - Print("Position offen: ", PositionSelect(_Symbol)); - Print("Trades im aktuellen Crossover: ", trades_in_current_crossover, "/", MaxTradesPerCrossover); - Print("=================="); - } - - //--- Überwachung prüfen (Check monitoring) - if(überwachung_aktiv) - { - if(UseBarData) - { - // Bar-basierte Überwachungszeit - int bars_since_monitoring = iBarShift(_Symbol, Timeframe, letzte_überwachung_zeit); - int timeout_bars = (int)(ÜberwachungTimeout / PeriodSeconds(Timeframe)); - - if(bars_since_monitoring > timeout_bars) - { - überwachung_aktiv = false; - preis_trigger_aktiv = false; - steigung_trigger_aktiv = false; - Print("Überwachung beendet - Bar-basierte Zeitüberschreitung (", bars_since_monitoring, " Bars)"); - } - } - else - { - // Tick-basierte Überwachungszeit - if(TimeCurrent() - letzte_überwachung_zeit > ÜberwachungTimeout) - { - überwachung_aktiv = false; - preis_trigger_aktiv = false; - steigung_trigger_aktiv = false; - Print("Überwachung beendet - Tick-basierte Zeitüberschreitung"); - } - } - } - - //--- Trigger-Bedingungen prüfen (Check trigger conditions) - PrüfeTrigger(); - - //--- Trade Management (Trade management) - VerwalteTrades(); - - //--- MAE Protection prüfen (Check MAE protection) - if(UseMAEProtection && PositionSelect(_Symbol)) - { - PrüfeMAE(); - } -} - -//+------------------------------------------------------------------+ -//| EMA Berechnung (EMA Calculation) | -//+------------------------------------------------------------------+ -void BerechneEMA() -{ - //--- EMA Werte vom Indicator kopieren (Copy EMA values from indicator) - int copied = CopyBuffer(ema_handle, 0, 0, 3, ema_array); - - if(copied <= 0) - { - Print("TRACE: Fehler beim Kopieren der EMA Werte - Copied: ", copied); - return; - } - - Print("TRACE: EMA Werte kopiert: ", copied, " Bars"); - Print("TRACE: EMA [0]: ", ema_array[0], " [1]: ", ema_array[1], " [2]: ", ema_array[2]); -} - -//+------------------------------------------------------------------+ -//| RSI Berechnung (RSI Calculation) | -//+------------------------------------------------------------------+ -void BerechneRSI() -{ - if(!UseRSIFilter || rsi_handle == INVALID_HANDLE) - return; - - //--- RSI Werte vom Indicator kopieren (Copy RSI values from indicator) - int copied = CopyBuffer(rsi_handle, 0, 0, 3, rsi_array); - - if(copied <= 0) - { - Print("TRACE: Fehler beim Kopieren der RSI Werte - Copied: ", copied); - return; - } - - Print("TRACE: RSI Werte kopiert: ", copied, " Bars"); - Print("TRACE: RSI [0]: ", rsi_array[0], " [1]: ", rsi_array[1], " [2]: ", rsi_array[2]); -} - -//+------------------------------------------------------------------+ -//| Trigger-Bedingungen prüfen (Check trigger conditions) | -//+------------------------------------------------------------------+ -void PrüfeTrigger() -{ - if(ArraySize(ema_array) < 2) - { - Print("TRACE: Array zu klein - Größe: ", ArraySize(ema_array)); - return; - } - - //--- Aktuelle Werte (Current values) - double aktueller_preis = SymbolInfoDouble(_Symbol, SYMBOL_BID); - double aktueller_ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); - double aktueller_close = iClose(_Symbol, Timeframe, 0); - double pips_multiplier = (_Digits == 3 || _Digits == 5) ? 10.0 : 1.0; - - //--- EMA Werte in Variablen (EMA values in variables) - double ema_aktuell = ema_array[0]; - double ema_vorher = ema_array[1]; - - //--- EMA Crossover Erkennung (EMA Crossover Detection) - // Prüfe ob Preis die EMA kreuzt (Check if price crosses EMA) - static double last_close = 0; - static double last_ema = 0; - - if(last_close != 0 && last_ema != 0) - { - bool crossover_bullish = (last_close <= last_ema) && (aktueller_close > ema_aktuell); - bool crossover_bearish = (last_close >= last_ema) && (aktueller_close < ema_aktuell); - - //--- Neues Crossover-Ereignis erkannt (New crossover event detected) - if(crossover_bullish || crossover_bearish) - { - trades_in_current_crossover = 0; // Reset trade counter - Print("TRACE: EMA Crossover erkannt - ", (crossover_bullish ? "BULLISH" : "BEARISH"), " - Trade-Counter zurückgesetzt"); - Print("TRACE: Vorher: Close=", last_close, " EMA=", last_ema, " Jetzt: Close=", aktueller_close, " EMA=", ema_aktuell); - } - } - - //--- Aktuelle Werte für nächsten Vergleich speichern (Save current values for next comparison) - last_close = aktueller_close; - last_ema = ema_aktuell; - - //--- Preisbewegung zur EMA prüfen (Check price action to EMA) - double preis_abstand = MathAbs(aktueller_close - ema_aktuell) / _Point / pips_multiplier; - - Print("TRACE: Preis-Abstand: ", preis_abstand, " Pips (Schwelle: ", PreisSchwelle, ")"); - Print("TRACE: Close: ", aktueller_close, " EMA: ", ema_aktuell); - Print("TRACE: Trades im aktuellen Crossover: ", trades_in_current_crossover, "/", MaxTradesPerCrossover); - - if(preis_abstand > PreisSchwelle && !preis_trigger_aktiv) - { - preis_trigger_aktiv = true; - Print("TRACE: Preis-Trigger aktiviert: ", preis_abstand, " Pips"); - } - - //--- EMA Steigung prüfen (Check EMA slope) - double steigung = (ema_aktuell - ema_vorher) / _Point / pips_multiplier; - - Print("TRACE: EMA Steigung: ", steigung, " Pips (Schwelle: ", SteigungSchwelle, ")"); - - if(MathAbs(steigung) > SteigungSchwelle && !steigung_trigger_aktiv) - { - steigung_trigger_aktiv = true; - Print("TRACE: Steigungs-Trigger aktiviert: ", steigung, " Pips"); - } - - //--- Überwachung starten wenn beide Trigger aktiv sind (Start monitoring when both triggers are active) - if(preis_trigger_aktiv && steigung_trigger_aktiv && !überwachung_aktiv) - { - überwachung_aktiv = true; - trigger_price = aktueller_close; // Preis beim Trigger speichern für Pullback-Prüfung - - if(UseBarData) - { - letzte_überwachung_zeit = iTime(_Symbol, Timeframe, 0); // Aktuelle Bar-Zeit - Print("TRACE: Überwachung gestartet - Beide Trigger aktiv (Bar: ", TimeToString(letzte_überwachung_zeit), ")"); - } - else - { - letzte_überwachung_zeit = TimeCurrent(); // Aktuelle Tick-Zeit - Print("TRACE: Überwachung gestartet - Beide Trigger aktiv (Tick)"); - } - } - - //--- Trade platzieren wenn Überwachung aktiv und Preis über/unter EMA (Place trade when monitoring active and price above/below EMA) - if(überwachung_aktiv) - { - bool bullish_signal = aktueller_close > ema_aktuell; - bool bearish_signal = aktueller_close < ema_aktuell; - - Print("TRACE: Signal Check - Bullish: ", bullish_signal, " Bearish: ", bearish_signal); - Print("TRACE: Close: ", aktueller_close, " EMA: ", ema_aktuell); - Print("TRACE: Differenz: ", aktueller_close - ema_aktuell); - - //--- Trade-Limit prüfen (Check trade limit) - if(trades_in_current_crossover >= MaxTradesPerCrossover) - { - Print("TRACE: Trade-Limit erreicht (", MaxTradesPerCrossover, ") - Kein neuer Trade"); - return; - } - - //--- Neue Strategie: V-Shape Reversal Trading + RSI 50 Crossover für Haupt-Trades - if(!PositionSelect(_Symbol)) - { - //--- 1. Prüfe auf V-Shape Reversal Pattern (Check for V-Shape Reversal Pattern) - if(UseVShapeReversalTrading) - { - ENUM_ORDER_TYPE vshape_direction = PrüfeVShapePattern(aktueller_close, ema_aktuell); - - if(vshape_direction == ORDER_TYPE_BUY) - { - // V-Shape erkannt: Preis war hoch, jetzt fallend -> REVERSE TRADE (SELL) - Print("TRACE: V-SHAPE REVERSAL erkannt - REVERSE TRADE: VERKAUF"); - if(PlatziereVShapeTrade(ORDER_TYPE_SELL, aktueller_close, ema_aktuell)) - { - trades_in_current_crossover++; - entry_price = aktueller_close; - max_favorable_excursion = 0; - max_adverse_excursion = 0; - is_vshape_trade = true; - } - return; // V-Shape Trade platziert, keine weiteren Trades - } - else if(vshape_direction == ORDER_TYPE_SELL) - { - // V-Shape erkannt: Preis war niedrig, jetzt steigend -> REVERSE TRADE (BUY) - Print("TRACE: V-SHAPE REVERSAL erkannt - REVERSE TRADE: KAUF"); - if(PlatziereVShapeTrade(ORDER_TYPE_BUY, aktueller_close, ema_aktuell)) - { - trades_in_current_crossover++; - entry_price = aktueller_close; - max_favorable_excursion = 0; - max_adverse_excursion = 0; - is_vshape_trade = true; - } - return; // V-Shape Trade platziert, keine weiteren Trades - } - } - - //--- 2. Haupt-Trend Trade: Warte auf RSI 50 Crossover (Main Trend Trade: Wait for RSI 50 Crossover) - if(bullish_signal) - { - // Prüfe RSI 50 Crossover für KAUF (Check RSI 50 crossover for BUY) - bool rsi_ready = true; - if(UseRSI50Crossover) - { - rsi_ready = rsi_crossed_above_50 && (ArraySize(rsi_array) > 0 && rsi_array[0] > 50.0); - if(!rsi_ready) - { - Print("TRACE: KAUF-Signal wartet auf RSI 50 Crossover - RSI: ", (ArraySize(rsi_array) > 0 ? rsi_array[0] : 0)); - } - } - - if(rsi_ready) - { - Print("TRACE: Versuche KAUF-Trade zu platzieren (Trade #", trades_in_current_crossover + 1, ")"); - if(PlatziereTrade(ORDER_TYPE_BUY)) - { - trades_in_current_crossover++; - entry_price = aktueller_close; - max_favorable_excursion = 0; - max_adverse_excursion = 0; - is_vshape_trade = false; - rsi_crossed_above_50 = false; // Reset nach Trade - } - } - } - else if(bearish_signal) - { - // Prüfe RSI 50 Crossover für VERKAUF (Check RSI 50 crossover for SELL) - bool rsi_ready = true; - if(UseRSI50Crossover) - { - rsi_ready = rsi_crossed_below_50 && (ArraySize(rsi_array) > 0 && rsi_array[0] < 50.0); - if(!rsi_ready) - { - Print("TRACE: VERKAUF-Signal wartet auf RSI 50 Crossover - RSI: ", (ArraySize(rsi_array) > 0 ? rsi_array[0] : 0)); - } - } - - if(rsi_ready) - { - Print("TRACE: Versuche VERKAUF-Trade zu platzieren (Trade #", trades_in_current_crossover + 1, ")"); - if(PlatziereTrade(ORDER_TYPE_SELL)) - { - trades_in_current_crossover++; - entry_price = aktueller_close; - max_favorable_excursion = 0; - max_adverse_excursion = 0; - is_vshape_trade = false; - rsi_crossed_below_50 = false; // Reset nach Trade - } - } - } - } - else if(PositionSelect(_Symbol)) - { - Print("TRACE: Position bereits offen - kein neuer Trade"); - } - } -} - -//+------------------------------------------------------------------+ -//| V-Shape Pattern Detection | -//+------------------------------------------------------------------+ -ENUM_ORDER_TYPE PrüfeVShapePattern(double aktueller_preis, double ema_aktuell) -{ - if(!UseVShapeReversalTrading || ArraySize(rsi_array) < 3) - return WRONG_VALUE; - - double pips_multiplier = (_Digits == 3 || _Digits == 5) ? 10.0 : 1.0; - double current_rsi = rsi_array[0]; - double previous_rsi = rsi_array[1]; - double rsi_before = rsi_array[2]; - - //--- Hole Preis-Historie für V-Shape Erkennung (Get price history for V-Shape detection) - double close_0 = iClose(_Symbol, Timeframe, 0); - double close_1 = iClose(_Symbol, Timeframe, 1); - double close_2 = iClose(_Symbol, Timeframe, 2); - double close_3 = iClose(_Symbol, Timeframe, 3); - - if(close_1 == 0 || close_2 == 0 || close_3 == 0) - return WRONG_VALUE; - - //--- V-Shape Top Pattern: Preis war hoch (RSI überkauft), jetzt fallend (V-Shape Top Pattern) - // Pattern: Preis steigt -> erreicht Hoch -> fällt (RSI: hoch -> fällt) - bool vshape_top = false; - if(current_rsi < previous_rsi && previous_rsi > RSIOverbought) - { - // RSI war überkauft und fällt jetzt - if(close_0 < close_1 && close_1 < close_2) - { - // Preis fällt kontinuierlich - double price_drop = (close_2 - close_0) / _Point / pips_multiplier; - if(price_drop > 100.0) // Mindest-Fall von 100 Pips - { - vshape_top = true; - Print("TRACE: V-SHAPE TOP erkannt - RSI fällt von ", previous_rsi, " zu ", current_rsi); - Print("TRACE: Preis fällt von ", close_2, " zu ", close_0, " (", price_drop, " Pips)"); - } - } - } - - //--- V-Shape Bottom Pattern: Preis war niedrig (RSI überverkauft), jetzt steigend (V-Shape Bottom Pattern) - // Pattern: Preis fällt -> erreicht Tief -> steigt (RSI: niedrig -> steigt) - bool vshape_bottom = false; - if(current_rsi > previous_rsi && previous_rsi < RSIOversold) - { - // RSI war überverkauft und steigt jetzt - if(close_0 > close_1 && close_1 > close_2) - { - // Preis steigt kontinuierlich - double price_rise = (close_0 - close_2) / _Point / pips_multiplier; - if(price_rise > 100.0) // Mindest-Anstieg von 100 Pips - { - vshape_bottom = true; - Print("TRACE: V-SHAPE BOTTOM erkannt - RSI steigt von ", previous_rsi, " zu ", current_rsi); - Print("TRACE: Preis steigt von ", close_2, " zu ", close_0, " (", price_rise, " Pips)"); - } - } - } - - if(vshape_top) - return ORDER_TYPE_SELL; // Reverse Trade: Verkauf bei V-Shape Top - else if(vshape_bottom) - return ORDER_TYPE_BUY; // Reverse Trade: Kauf bei V-Shape Bottom - - return WRONG_VALUE; // Kein V-Shape erkannt -} - -//+------------------------------------------------------------------+ -//| V-Shape Reversal Trade platzieren (Place V-Shape Reversal Trade)| -//+------------------------------------------------------------------+ -bool PlatziereVShapeTrade(ENUM_ORDER_TYPE order_type, double aktueller_preis, double ema_aktuell) -{ - double pips_multiplier = (_Digits == 3 || _Digits == 5) ? 10.0 : 1.0; - double stop_loss_pips = VShapeReversalStopLoss; - double stop_loss_price = 0; - - Print("TRACE: Versuche V-SHAPE REVERSAL Trade zu platzieren - Typ: ", (order_type == ORDER_TYPE_BUY) ? "KAUF" : "VERKAUF"); - Print("TRACE: Lot: ", VShapeReversalLotSize, " Stop Loss: ", stop_loss_pips, " Pips"); - - //--- Berechne Stop Loss (Calculate Stop Loss) - if(order_type == ORDER_TYPE_BUY) - { - stop_loss_price = aktueller_preis - (stop_loss_pips * _Point * pips_multiplier); - } - else - { - stop_loss_price = aktueller_preis + (stop_loss_pips * _Point * pips_multiplier); - } - - bool success = false; - - if(order_type == ORDER_TYPE_BUY) - { - success = trade.Buy(VShapeReversalLotSize, _Symbol, 0, stop_loss_price, 0, "V-Shape Reversal Trade"); - } - else - { - success = trade.Sell(VShapeReversalLotSize, _Symbol, 0, stop_loss_price, 0, "V-Shape Reversal Trade"); - } - - if(success) - { - ticket = (int)trade.ResultOrder(); - Print("TRACE: V-SHAPE Trade erfolgreich platziert: ", (order_type == ORDER_TYPE_BUY) ? "KAUF" : "VERKAUF", " Ticket: ", ticket); - Print("TRACE: Stop Loss: ", stop_loss_price); - - //--- Trade-Öffnungszeit speichern (Save trade opening time) - trade_open_time = iTime(_Symbol, Timeframe, 0); - Print("TRACE: Trade-Öffnungszeit: ", TimeToString(trade_open_time)); - - //--- Überwachung zurücksetzen (Reset monitoring) - überwachung_aktiv = false; - preis_trigger_aktiv = false; - steigung_trigger_aktiv = false; - - return true; - } - else - { - Print("TRACE: Fehler beim Platzieren des V-SHAPE Trades - Retcode: ", trade.ResultRetcode()); - Print("TRACE: Fehlerbeschreibung: ", trade.ResultRetcodeDescription()); - - return false; - } -} - -//+------------------------------------------------------------------+ -//| Trade platzieren (Place trade) | -//+------------------------------------------------------------------+ -bool PlatziereTrade(ENUM_ORDER_TYPE order_type) -{ - Print("TRACE: Versuche Trade zu platzieren - Typ: ", (order_type == ORDER_TYPE_BUY) ? "KAUF" : "VERKAUF"); - Print("TRACE: Lot: ", LotGröße); - - bool success = false; - - if(order_type == ORDER_TYPE_BUY) - { - success = trade.Buy(LotGröße, _Symbol, 0, 0, 0, "EMA Crossover Trade"); - } - else - { - success = trade.Sell(LotGröße, _Symbol, 0, 0, 0, "EMA Crossover Trade"); - } - - if(success) - { - ticket = (int)trade.ResultOrder(); - Print("TRACE: Trade erfolgreich platziert: ", (order_type == ORDER_TYPE_BUY) ? "KAUF" : "VERKAUF", " Ticket: ", ticket); - - //--- Trade-Öffnungszeit speichern (Save trade opening time) - trade_open_time = iTime(_Symbol, Timeframe, 0); - Print("TRACE: Trade-Öffnungszeit: ", TimeToString(trade_open_time)); - - //--- Überwachung zurücksetzen (Reset monitoring) - überwachung_aktiv = false; - preis_trigger_aktiv = false; - steigung_trigger_aktiv = false; - - return true; - } - else - { - Print("TRACE: Fehler beim Platzieren des Trades - Retcode: ", trade.ResultRetcode()); - Print("TRACE: Fehlerbeschreibung: ", trade.ResultRetcodeDescription()); - - return false; - } -} - -//+------------------------------------------------------------------+ -//| Trades verwalten (Manage trades) | -//+------------------------------------------------------------------+ -void VerwalteTrades() -{ - if(!PositionSelect(_Symbol)) - return; - - double position_profit = PositionGetDouble(POSITION_PROFIT); - double position_open_price = PositionGetDouble(POSITION_PRICE_OPEN); - double current_price = PositionGetDouble(POSITION_PRICE_CURRENT); - ENUM_POSITION_TYPE position_type = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); - - double pips_multiplier = (_Digits == 3 || _Digits == 5) ? 10.0 : 1.0; - double trailing_stop_pips = TrailingStop; - - //--- Für V-Shape Trades: Tighter Trailing Stop (For V-Shape trades: Tighter trailing stop) - if(is_vshape_trade) - { - trailing_stop_pips = VShapeReversalStopLoss * 0.5; // 50% des Stop Loss als Trailing - Print("TRACE: V-Shape Trade - Verwendeter Trailing Stop: ", trailing_stop_pips, " Pips"); - } - - //--- Gleitender Stop (Trailing Stop) - nur wenn Position im Profit ist - if(position_profit > 0) // Only apply trailing stop when in profit - { - if(position_type == POSITION_TYPE_BUY) - { - double new_stop_loss = current_price - (trailing_stop_pips * _Point * pips_multiplier); - double current_stop_loss = PositionGetDouble(POSITION_SL); - - // Only move stop loss if new stop is higher than current stop - if(new_stop_loss > current_stop_loss) - { - ÄndereStopLoss(new_stop_loss); - } - } - else if(position_type == POSITION_TYPE_SELL) - { - double new_stop_loss = current_price + (trailing_stop_pips * _Point * pips_multiplier); - double current_stop_loss = PositionGetDouble(POSITION_SL); - - // Only move stop loss if new stop is lower than current stop - if(new_stop_loss < current_stop_loss || current_stop_loss == 0) - { - ÄndereStopLoss(new_stop_loss); - } - } - } - - //--- Ausstieg bei Preis unter/über EMA (Exit when price below/above EMA) - if(ArraySize(ema_array) >= 1) - { - double aktueller_close = iClose(_Symbol, Timeframe, 0); - double ema_aktuell = ema_array[0]; - bool exit_bullish = (position_type == POSITION_TYPE_SELL && aktueller_close > ema_aktuell); - bool exit_bearish = (position_type == POSITION_TYPE_BUY && aktueller_close < ema_aktuell); - - if(exit_bullish || exit_bearish) - { - Print("TRACE: Ausstiegssignal - Close: ", aktueller_close, " EMA: ", ema_aktuell); - SchließePosition("EMA Crossover Exit"); - - Print("TRACE: Position geschlossen - Trade-Counter bleibt bei ", trades_in_current_crossover); - } - } - - //--- Profit-Prüfung nach X Bars (Profit check after X bars) - if(CloseUnprofitableTrades && trade_open_time != 0 && PositionSelect(_Symbol)) - { - Print("TRACE: Profit-Prüfung aktiviert - CloseUnprofitableTrades: ", CloseUnprofitableTrades); - PrüfeProfitNachBars(); - } - else if(!CloseUnprofitableTrades) - { - Print("TRACE: Profit-Prüfung deaktiviert - CloseUnprofitableTrades: ", CloseUnprofitableTrades); - } -} - -//+------------------------------------------------------------------+ -//| Profit-Prüfung nach X Bars (Profit check after X bars) | -//+------------------------------------------------------------------+ -void PrüfeProfitNachBars() -{ - if(!PositionSelect(_Symbol)) - { - return; // Keine Position offen - } - - datetime current_bar_time = iTime(_Symbol, Timeframe, 0); - int bars_since_trade_open = iBarShift(_Symbol, Timeframe, trade_open_time); - - Print("TRACE: Bars seit Trade-Öffnung: ", bars_since_trade_open, "/", ProfitCheckBars); - - //--- Prüfe ob genügend Bars vergangen sind (Check if enough bars have passed) - if(bars_since_trade_open >= ProfitCheckBars) - { - double position_profit = PositionGetDouble(POSITION_PROFIT); - double position_volume = PositionGetDouble(POSITION_VOLUME); - ENUM_POSITION_TYPE position_type = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); - - Print("TRACE: Profit-Prüfung nach ", ProfitCheckBars, " Bars"); - Print("TRACE: Position Profit: ", position_profit, " USD"); - - //--- Schließe Position wenn nicht im Profit (Close position if not in profit) - if(position_profit <= 0) - { - Print("TRACE: Position nicht im Profit - Schließe Position"); - SchließePosition("Profit Check - Unprofitable"); - - //--- Trade-Öffnungszeit zurücksetzen (Reset trade opening time) - trade_open_time = 0; - Print("TRACE: Trade-Öffnungszeit zurückgesetzt"); - } - else - { - Print("TRACE: Position im Profit - Behalte Position"); - //--- Trade-Öffnungszeit zurücksetzen um weitere Prüfungen zu vermeiden (Reset to avoid further checks) - trade_open_time = 0; - } - } -} - -//+------------------------------------------------------------------+ -//| Stop Loss ändern (Modify Stop Loss) | -//+------------------------------------------------------------------+ -void ÄndereStopLoss(double new_stop_loss) -{ - Print("TRACE: Versuche Stop Loss zu ändern auf: ", new_stop_loss); - - bool success = trade.PositionModify(_Symbol, new_stop_loss, PositionGetDouble(POSITION_TP)); - - if(success) - { - Print("TRACE: Stop Loss erfolgreich geändert auf: ", new_stop_loss); - } - else - { - Print("TRACE: Fehler beim Ändern des Stop Loss - Retcode: ", trade.ResultRetcode()); - Print("TRACE: Fehlerbeschreibung: ", trade.ResultRetcodeDescription()); - } -} - -//+------------------------------------------------------------------+ -//| Position schließen (Close position) | -//+------------------------------------------------------------------+ -void SchließePosition(string reason = "Unbekannt") -{ - Print("TRACE: Versuche Position zu schließen - Grund: ", reason); - - bool success = trade.PositionClose(_Symbol); - - if(success) - { - Print("TRACE: Position erfolgreich geschlossen - Grund: ", reason); - //--- Reset MAE tracking (Reset MAE tracking) - entry_price = 0; - max_favorable_excursion = 0; - max_adverse_excursion = 0; - is_vshape_trade = false; - } - else - { - Print("TRACE: Fehler beim Schließen der Position - Retcode: ", trade.ResultRetcode()); - Print("TRACE: Fehlerbeschreibung: ", trade.ResultRetcodeDescription()); - } -} - -//+------------------------------------------------------------------+ -//| V-Shape Reversal Protection Check | -//+------------------------------------------------------------------+ -bool PrüfeVShapeSchutz(ENUM_ORDER_TYPE order_type, double aktueller_preis, double ema_aktuell) -{ - double pips_multiplier = (_Digits == 3 || _Digits == 5) ? 10.0 : 1.0; - - //--- 1. RSI Filter: Vermeide Einstieg bei extremen RSI-Werten (RSI Filter: Avoid entry at extreme RSI values) - if(UseRSIFilter) - { - if(ArraySize(rsi_array) < 1) - { - Print("TRACE: RSI Array zu klein für Filter"); - return false; - } - - double current_rsi = rsi_array[0]; - - if(order_type == ORDER_TYPE_BUY) - { - // Vermeide Einstieg wenn RSI überkauft (Avoid entry when RSI overbought) - if(current_rsi > RSIOverbought) - { - Print("TRACE: RSI Filter blockiert KAUF - RSI: ", current_rsi, " > ", RSIOverbought); - return false; - } - } - else if(order_type == ORDER_TYPE_SELL) - { - // Vermeide Einstieg wenn RSI überverkauft (Avoid entry when RSI oversold) - if(current_rsi < RSIOversold) - { - Print("TRACE: RSI Filter blockiert VERKAUF - RSI: ", current_rsi, " < ", RSIOversold); - return false; - } - } - - Print("TRACE: RSI Filter bestanden - RSI: ", current_rsi); - } - - //--- 2. Momentum Confirmation: Prüfe ob Momentum in Richtung des Trades zeigt (Momentum Confirmation) - if(UseMomentumConfirmation) - { - if(!PrüfeMomentum(order_type)) - { - Print("TRACE: Momentum-Bestätigung fehlgeschlagen"); - return false; - } - Print("TRACE: Momentum-Bestätigung erfolgreich"); - } - - //--- 3. Pullback Confirmation: Warte auf Pullback statt Einstieg am Extrem (Pullback Confirmation) - if(UsePullbackConfirmation && trigger_price != 0) - { - double price_movement = MathAbs(aktueller_preis - trigger_price) / _Point / pips_multiplier; - double distance_to_ema = MathAbs(aktueller_preis - ema_aktuell) / _Point / pips_multiplier; - double initial_distance = MathAbs(trigger_price - ema_aktuell) / _Point / pips_multiplier; - - if(initial_distance > 0) - { - double pullback_ratio = distance_to_ema / initial_distance; - - // Erlaube Einstieg nur wenn Preis zurück zur EMA gezogen ist (Allow entry only if price pulled back toward EMA) - if(pullback_ratio > (1.0 - PullbackThreshold)) - { - Print("TRACE: Pullback-Bestätigung fehlgeschlagen - Ratio: ", pullback_ratio, " (benötigt < ", (1.0 - PullbackThreshold), ")"); - return false; - } - Print("TRACE: Pullback-Bestätigung erfolgreich - Ratio: ", pullback_ratio); - } - } - - return true; -} - -//+------------------------------------------------------------------+ -//| Momentum Confirmation Check | -//+------------------------------------------------------------------+ -bool PrüfeMomentum(ENUM_ORDER_TYPE order_type) -{ - if(MomentumBars < 1) - return true; - - //--- Prüfe ob die letzten Bars Momentum in Richtung des Trades zeigen (Check if recent bars show momentum in trade direction) - double close_0 = iClose(_Symbol, Timeframe, 0); - double close_n = iClose(_Symbol, Timeframe, MomentumBars); - - if(close_n == 0) - return true; // Nicht genug Daten (Not enough data) - - if(order_type == ORDER_TYPE_BUY) - { - // Für KAUF: Preis sollte höher sein als vor N Bars (For BUY: Price should be higher than N bars ago) - if(close_0 <= close_n) - { - Print("TRACE: Momentum fehlt für KAUF - Close[0]: ", close_0, " Close[", MomentumBars, "]: ", close_n); - return false; - } - } - else if(order_type == ORDER_TYPE_SELL) - { - // Für VERKAUF: Preis sollte niedriger sein als vor N Bars (For SELL: Price should be lower than N bars ago) - if(close_0 >= close_n) - { - Print("TRACE: Momentum fehlt für VERKAUF - Close[0]: ", close_0, " Close[", MomentumBars, "]: ", close_n); - return false; - } - } - - return true; -} - -//+------------------------------------------------------------------+ -//| Maximum Adverse Excursion Check | -//+------------------------------------------------------------------+ -void PrüfeMAE() -{ - if(!PositionSelect(_Symbol) || entry_price == 0) - return; - - double current_price = PositionGetDouble(POSITION_PRICE_CURRENT); - ENUM_POSITION_TYPE position_type = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); - double pips_multiplier = (_Digits == 3 || _Digits == 5) ? 10.0 : 1.0; - - double current_excursion = 0; - - if(position_type == POSITION_TYPE_BUY) - { - current_excursion = (current_price - entry_price) / _Point / pips_multiplier; - } - else if(position_type == POSITION_TYPE_SELL) - { - current_excursion = (entry_price - current_price) / _Point / pips_multiplier; - } - - //--- Update maximale Bewegungen (Update maximum movements) - if(current_excursion > max_favorable_excursion) - { - max_favorable_excursion = current_excursion; - } - - if(current_excursion < -max_adverse_excursion) - { - max_adverse_excursion = -current_excursion; - } - - //--- Prüfe ob MAE-Schwelle überschritten wurde (Check if MAE threshold exceeded) - if(max_adverse_excursion > MAEThreshold) - { - // Prüfe ob genug Bars vergangen sind (Check if enough bars have passed) - datetime current_bar_time = iTime(_Symbol, Timeframe, 0); - int bars_since_entry = iBarShift(_Symbol, Timeframe, trade_open_time); - - if(bars_since_entry >= MAECheckBars) - { - double position_profit = PositionGetDouble(POSITION_PROFIT); - - // Schließe nur wenn Position nicht im Profit ist (Close only if position not in profit) - if(position_profit <= 0) - { - Print("TRACE: MAE-Schwelle überschritten - MAE: ", max_adverse_excursion, " Pips (Schwelle: ", MAEThreshold, ")"); - Print("TRACE: Position Profit: ", position_profit, " - Schließe Position"); - SchließePosition("MAE Protection - Excessive Adverse Excursion"); - } - else - { - Print("TRACE: MAE-Schwelle überschritten aber Position im Profit - MAE: ", max_adverse_excursion, " Profit: ", position_profit); - } - } - } -} - -//+------------------------------------------------------------------+ -//| Early Reversal Detection | -//+------------------------------------------------------------------+ -bool PrüfeFrüheReversal(ENUM_POSITION_TYPE position_type, double aktueller_preis, double ema_aktuell) -{ - if(!UseEarlyReversalDetection || entry_price == 0) - return false; - - double pips_multiplier = (_Digits == 3 || _Digits == 5) ? 10.0 : 1.0; - double price_to_ema = MathAbs(aktueller_preis - ema_aktuell) / _Point / pips_multiplier; - double entry_to_ema = MathAbs(entry_price - ema_aktuell) / _Point / pips_multiplier; - - if(entry_to_ema == 0) - return false; - - //--- Prüfe ob Preis sich zu weit zurück zur EMA bewegt hat (Check if price moved too far back toward EMA) - double reversal_ratio = price_to_ema / entry_to_ema; - - if(reversal_ratio < ReversalThreshold) - { - // Preis hat sich mehr als X% zurück zur EMA bewegt - mögliche Reversal (Price moved more than X% back toward EMA - possible reversal) - Print("TRACE: Frühe Reversal erkannt - Ratio: ", reversal_ratio, " (Schwelle: ", ReversalThreshold, ")"); - - // Prüfe ob Position im Verlust ist (Check if position is in loss) - if(PositionSelect(_Symbol)) - { - double position_profit = PositionGetDouble(POSITION_PROFIT); - if(position_profit <= 0) - { - Print("TRACE: Reversal erkannt und Position im Verlust - Schließe Position"); - return true; - } - } - } - - return false; -} - -//+------------------------------------------------------------------+ \ No newline at end of file diff --git a/lab/EAs/Derivative.mq5 b/lab/EAs/Derivative.mq5 deleted file mode 100644 index eed4ffc..0000000 --- a/lab/EAs/Derivative.mq5 +++ /dev/null @@ -1,1582 +0,0 @@ -//+------------------------------------------------------------------+ - -//| Derivative.mq5 | - -//| EA: finite-difference d1–d3 of price + optional demo signals | - -//| (Former indicator — attach as Expert Advisor on chart.) | - -//+------------------------------------------------------------------+ - -#property copyright "Lab" - -#property link "" - -#property version "3.00" - -#property strict - -#include - -#include - -#property description "DERIVATIVE_CALC EA v3 — derivatives + optional trades; canvas strip or legacy DerivativePlots." - -#property description "Canvas mode draws d1/d2/d3 at bottom without indicators; legacy mode optional." - -enum ENUM_DERIVATIVE_VIEW - -{ - - DERIVATIVE_ALL = 0, - - DERIVATIVE_LEVEL_1 = 1, - - DERIVATIVE_LEVEL_2 = 2, - - DERIVATIVE_LEVEL_3 = 3 - -}; - -input group "=== Instrument ===" - -input string InpSymbol = ""; // blank = chart symbol - -input group "=== Series ===" - -input ENUM_TIMEFRAMES InpSignalTF = PERIOD_CURRENT; // PERIOD_CURRENT = chart TF - -input ENUM_APPLIED_PRICE InpAppliedPrice = PRICE_CLOSE; - -input group "=== Layout (reporting focus) ===" - -input ENUM_DERIVATIVE_VIEW InpWhichDerivative = DERIVATIVE_ALL; // Which values drive Comment / optional trade filter - -input group "=== Calculus discretization ===" - -input int InpDiffStep = 1; - -input bool InpNormalizePoints = true; - -input group "=== Smoothing ===" - -input int InpSmoothPeriod = 0; - -input group "=== On-chart guide (labels on main window) ===" - -input bool InpShowHelpPanel = true; - -input color InpHelpTitleColor = clrWhite; - -input color InpHelpBodyColor = clrSilver; - -input group "=== Display ===" - -input bool InpShowComment = true; // Status line + d1/d2/d3 on chart - -input int InpCommentThrottleMs = 200; // Min real-time ms between Comment() calls (0=off). Visual tester floods redraws without this. - -input bool InpDebugTrace = false; // Experts/Journal: derivatives + attach diagnostics - -input group "=== Canvas strip (EA draws d1/d2/d3 — no indicator .ex5) ===" - -input bool InpUseCanvasPlots = true; // Three stacked strips at bottom (bitmap on main window) - -input int InpCanvasPlotBars = 320; // Bars across width (series 0 = current) - -input int InpCanvasPanelHeight = 210; // Total pixel height for three strips - -input int InpCanvasBottomMargin = 28; // From chart bottom (CORNER_LEFT_LOWER) - -input int InpCanvasSideMargin = 4; // Left/right inset - -input int InpCanvasRedrawMs = 350; // Min ms between canvas rebuilds - -input color InpCanvasBgColor = clrBlack; - -input color InpCanvasGridColor = clrDimGray; - -input group "=== Legacy: DerivativePlots indicator (optional) ===" - -input bool InpAutoAttachDerivativePlots = false; // Requires DerivativePlots.ex5 in Indicators - -input bool InpAttachPlotsInTester = false; // Non-visual tester: set true if .ex5 present - -input string InpPlotsIndicatorPath = "DerivativePlots"; // .ex5 basename in Indicators folder - -input bool InpPlotsSeparateWindows = false; // Three iCustom instances + stacked subwindows - -input bool InpPlotsUnifyYScale = true; // DerivativePlots InpUnifyPlotYScale - -input group "=== Optional demo trading (off by default) ===" - -input bool InpTradeEnabled = false; - -input double InpLots = 0.01; - -input ulong InpMagic = 931001; - -input int InpSlippagePoints = 30; - -input int InpAtrPeriod = 14; - -input double InpSlAtrMult = 2.0; - -input double InpTpAtrMult = 3.0; - -CTrade g_trade; - -datetime g_lastBarTime = 0; - -string g_chartSymbol = ""; - -bool g_pendingDerivativePlotsAttach = false; - -bool g_derivativePlotsFailedToLoad = false; - -bool g_derivPlotsAttachDone = false; - -uint g_lastCommentWallMs = 0; - -CCanvas g_deriv_canvas; - -bool g_deriv_canvas_created = false; - -uint g_lastCanvasRedrawMs = 0; - -const string HELPER_FAMILY = "DerivRead"; - -const string DERIV_CANVAS_OBJ = "DerivEA_CanvasStrip_v3"; - -void CommentThrottled(const string text) - -{ - - if(InpCommentThrottleMs <= 0) - - { - - Comment(text); - - return; - - } - - const uint now = GetTickCount(); - - if(g_lastCommentWallMs != 0 && (now - g_lastCommentWallMs) < (uint)InpCommentThrottleMs) - - return; - - g_lastCommentWallMs = now; - - Comment(text); - -} - -string DerivativePlotsMissingHint() - -{ - - if(!g_derivativePlotsFailedToLoad || !InpAutoAttachDerivativePlots) - - return ""; - - const string want = TerminalInfoString(TERMINAL_DATA_PATH) + "\\MQL5\\Indicators\\" + InpPlotsIndicatorPath + ".ex5"; - - return "\n--- DerivativePlots NOT loaded ---\nPlace compiled file:\n" + want + - - "\n(Navigator: Indicators -> right-click -> Open folder -> paste .mq5, Compile.)"; - -} - -string HelpPrefix() - -{ - - return HELPER_FAMILY + "_EA_L" + IntegerToString((int)InpWhichDerivative) + "_"; - -} - -void DeleteOurHelpObjects() - -{ - - const string px = HelpPrefix(); - - ObjectDelete(0, px + "title"); - - ObjectDelete(0, px + "body"); - - ObjectDelete(0, px + "interp"); - -} - -bool LabelCreateMain(const string name, const int corner, const int xd, const int yd, - - const string text, const color clr, const int fontSize, const int anchor) - -{ - - if(!ObjectCreate(0, name, OBJ_LABEL, 0, 0, 0)) - - return false; - - ObjectSetInteger(0, name, OBJPROP_CORNER, corner); - - ObjectSetInteger(0, name, OBJPROP_ANCHOR, anchor); - - ObjectSetInteger(0, name, OBJPROP_XDISTANCE, xd); - - ObjectSetInteger(0, name, OBJPROP_YDISTANCE, yd); - - ObjectSetString(0, name, OBJPROP_TEXT, text); - - ObjectSetInteger(0, name, OBJPROP_COLOR, clr); - - ObjectSetInteger(0, name, OBJPROP_FONTSIZE, fontSize); - - ObjectSetString(0, name, OBJPROP_FONT, "Consolas"); - - ObjectSetInteger(0, name, OBJPROP_SELECTABLE, false); - - ObjectSetInteger(0, name, OBJPROP_HIDDEN, true); - - return true; - -} - -void TryBuildHelpPanel() - -{ - - if(!InpShowHelpPanel) - - { - - DeleteOurHelpObjects(); - - return; - - } - - const string px = HelpPrefix(); - - ObjectDelete(0, px + "title"); - - ObjectDelete(0, px + "body"); - - ObjectDelete(0, px + "interp"); - - const int x0 = 8; - - string title = "DERIVATIVE_CALC EA — readout\n"; - - string body = ""; - - string interp = ""; - - if(InpWhichDerivative == DERIVATIVE_ALL) - - { - - body = - - "d1 = slope of price / step h (velocity)\n" - - "d2 = change of d1 (acceleration)\n" - - "d3 = change of d2 (jerk)\n" - - "See Experts log + Comment line for numbers."; - - interp = "Optional demo trades use Which derivative + sign rules (inputs)."; - - } - - else if(InpWhichDerivative == DERIVATIVE_LEVEL_1) - - { - - title = "EA focus: d1 only\n"; - - body = "d1 > 0 : rising over h bars; < 0 falling; cross 0 : flip."; - - interp = "Demo buy bias if d1>0 & d2>0 when trade enabled."; - - } - - else if(InpWhichDerivative == DERIVATIVE_LEVEL_2) - - { - - title = "EA focus: d2 only\n"; - - body = "d2 : momentum building (+) or fading (-) vs d1."; - - interp = "Use with price context."; - - } - - else - - { - - title = "EA focus: d3 only\n"; - - body = "d3 : noisy; regime / climax hints."; - - interp = "Large |d3| → acceleration changing fast."; - - } - - if(!LabelCreateMain(px + "title", CORNER_LEFT_UPPER, x0, 20, title, InpHelpTitleColor, 10, ANCHOR_LEFT_UPPER)) - - return; - - if(!LabelCreateMain(px + "body", CORNER_LEFT_UPPER, x0, 42, body, InpHelpBodyColor, 8, ANCHOR_LEFT_UPPER)) - - { - - ObjectDelete(0, px + "title"); - - return; - - } - - if(!LabelCreateMain(px + "interp", CORNER_LEFT_LOWER, x0, 8, interp, InpHelpBodyColor, 8, ANCHOR_LEFT_LOWER)) - - { - - ObjectDelete(0, px + "title"); - - ObjectDelete(0, px + "body"); - - return; - - } - -} - -double AppliedFromRates(const MqlRates &r) - -{ - - switch(InpAppliedPrice) - - { - - case PRICE_OPEN: return r.open; - - case PRICE_HIGH: return r.high; - - case PRICE_LOW: return r.low; - - case PRICE_CLOSE: return r.close; - - case PRICE_MEDIAN: return (r.high + r.low) * 0.5; - - case PRICE_TYPICAL: return (r.high + r.low + r.close) / 3.0; - - case PRICE_WEIGHTED:return (r.high + r.low + r.close + r.close) / 4.0; - - default: return r.close; - - } - -} - -void SmoothPriceArray(const int total, const double &src[], double &dst[]) - -{ - - ArrayResize(dst, total); - - const int p = InpSmoothPeriod; - - if(p <= 1) - - { - - ArrayCopy(dst, src); - - return; - - } - - const double alpha = 2.0 / (p + 1.0); - - const int oldest = total - 1; - - double ema = src[oldest]; - - dst[oldest] = ema; - - for(int i = oldest - 1; i >= 0; i--) - - { - - ema = alpha * src[i] + (1.0 - alpha) * ema; - - dst[i] = ema; - - } - -} - -double SrcAt(const int i, const bool useSmooth, const double &smooth[], const double &raw[]) - -{ - - return useSmooth ? smooth[i] : raw[i]; - -} - -bool ComputeDerivatives(const string sym, const ENUM_TIMEFRAMES tf, - - double &out_d1, double &out_d2, double &out_d3) - -{ - - out_d1 = out_d2 = out_d3 = 0.0; - - const int h = MathMax(InpDiffStep, 1); - - const int needBars = 50 + h * 6; - - MqlRates rates[]; - - ArraySetAsSeries(rates, true); - - const int n = CopyRates(sym, tf, 0, needBars, rates); - - if(n < h * 3 + 5) - - return false; - - double raw[]; - - ArrayResize(raw, n); - - ArraySetAsSeries(raw, true); - - for(int i = 0; i < n; i++) - - raw[i] = AppliedFromRates(rates[i]); - - double smoothed[]; - - SmoothPriceArray(n, raw, smoothed); - - const bool useSmooth = (InpSmoothPeriod > 1); - - const double scale = InpNormalizePoints ? SymbolInfoDouble(sym, SYMBOL_POINT) : 1.0; - - if(scale <= 0.0) - - return false; - - const int i = 1; - - if(i + h >= n) - - return false; - - const double d1_i = (SrcAt(i, useSmooth, smoothed, raw) - SrcAt(i + h, useSmooth, smoothed, raw)) / ((double)h * scale); - - if(i + 2 * h >= n) - - { - - out_d1 = d1_i; - - return true; - - } - - const double d1_ip = (SrcAt(i + h, useSmooth, smoothed, raw) - SrcAt(i + 2 * h, useSmooth, smoothed, raw)) / ((double)h * scale); - - const double d2_i = (d1_i - d1_ip) / ((double)h * scale); - - if(i + 3 * h >= n) - - { - - out_d1 = d1_i; - - out_d2 = d2_i; - - return true; - - } - - const double d1_ip2 = (SrcAt(i + 2 * h, useSmooth, smoothed, raw) - SrcAt(i + 3 * h, useSmooth, smoothed, raw)) / ((double)h * scale); - - const double d2_ip = (d1_ip - d1_ip2) / ((double)h * scale); - - const double d3_i = (d2_i - d2_ip) / ((double)h * scale); - - out_d1 = d1_i; - - out_d2 = d2_i; - - out_d3 = d3_i; - - return true; - -} - -double CanvasSeriesAt(const int row, const int si, - - const double &d1[], const double &d2[], const double &d3[]) - -{ - - if(row == 0) - - return d1[si]; - - if(row == 1) - - return d2[si]; - - return d3[si]; - -} - -bool ComputeDerivativeSeries(const string sym, const ENUM_TIMEFRAMES tf, - - const int plotBars, - - double &d1[], double &d2[], double &d3[]) - -{ - - const int h = MathMax(InpDiffStep, 1); - - const int need = plotBars + h * 4 + 10; - - MqlRates rates[]; - - ArraySetAsSeries(rates, true); - - const int n = CopyRates(sym, tf, 0, need, rates); - - if(n < h * 3 + 5) - - return false; - - double raw[]; - - ArrayResize(raw, n); - - ArraySetAsSeries(raw, true); - - for(int i = 0; i < n; i++) - - raw[i] = AppliedFromRates(rates[i]); - - double smoothed[]; - - SmoothPriceArray(n, raw, smoothed); - - const bool useSmooth = (InpSmoothPeriod > 1); - - const double scale = InpNormalizePoints ? SymbolInfoDouble(sym, SYMBOL_POINT) : 1.0; - - if(scale <= 0.0) - - return false; - - ArrayResize(d1, plotBars); - - ArrayResize(d2, plotBars); - - ArrayResize(d3, plotBars); - - ArrayInitialize(d1, EMPTY_VALUE); - - ArrayInitialize(d2, EMPTY_VALUE); - - ArrayInitialize(d3, EMPTY_VALUE); - - const int d1Count = MathMin(plotBars, n - h); - - for(int si = 0; si < d1Count; si++) - - d1[si] = (SrcAt(si, useSmooth, smoothed, raw) - SrcAt(si + h, useSmooth, smoothed, raw)) / ((double)h * scale); - - for(int si = 0; si < plotBars; si++) - - { - - if(si + 2 * h >= n || si + h >= d1Count) - - break; - - d2[si] = (d1[si] - d1[si + h]) / ((double)h * scale); - - } - - for(int si = 0; si < plotBars; si++) - - { - - if(si + 3 * h >= n) - - break; - - if(si + h >= plotBars) - - break; - - if(d2[si] == EMPTY_VALUE || d2[si + h] == EMPTY_VALUE) - - continue; - - d3[si] = (d2[si] - d2[si + h]) / ((double)h * scale); - - } - - return true; - -} - -void UpdateDerivativeCanvasStrip() - -{ - - if(!InpUseCanvasPlots) - - return; - - ENUM_TIMEFRAMES tf = InpSignalTF; - - if(tf == PERIOD_CURRENT) - - tf = (ENUM_TIMEFRAMES)Period(); - - double d1[], d2[], d3[]; - - if(!ComputeDerivativeSeries(g_chartSymbol, tf, InpCanvasPlotBars, d1, d2, d3)) - - return; - - const int chartW = (int)ChartGetInteger(0, CHART_WIDTH_IN_PIXELS); - - if(chartW < 80) - - return; - - const int panelW = MathMax(60, chartW - InpCanvasSideMargin * 2); - - const int panelH = MathMax(90, InpCanvasPanelHeight); - - const int x0 = InpCanvasSideMargin; - - const int y0 = InpCanvasBottomMargin; - - if(!g_deriv_canvas_created) - - { - - if(!g_deriv_canvas.CreateBitmapLabel(0, 0, DERIV_CANVAS_OBJ, x0, y0, panelW, panelH, COLOR_FORMAT_ARGB_NORMALIZE)) - - { - - if(InpDebugTrace) - - Print("DERIVATIVE_CALC: canvas CreateBitmapLabel failed err=", GetLastError()); - - return; - - } - - ObjectSetInteger(0, DERIV_CANVAS_OBJ, OBJPROP_CORNER, CORNER_LEFT_LOWER); - - ObjectSetInteger(0, DERIV_CANVAS_OBJ, OBJPROP_ANCHOR, ANCHOR_LEFT_LOWER); - - ObjectSetInteger(0, DERIV_CANVAS_OBJ, OBJPROP_SELECTABLE, false); - - ObjectSetInteger(0, DERIV_CANVAS_OBJ, OBJPROP_HIDDEN, true); - - g_deriv_canvas_created = true; - - } - - else - - { - - g_deriv_canvas.Resize(panelW, panelH); - - ObjectSetInteger(0, DERIV_CANVAS_OBJ, OBJPROP_XDISTANCE, x0); - - ObjectSetInteger(0, DERIV_CANVAS_OBJ, OBJPROP_YDISTANCE, y0); - - } - - g_deriv_canvas.Erase(ColorToARGB(InpCanvasBgColor, 255)); - - const int rows = 3; - - const int rowH = MathMax(24, panelH / rows); - - const uint clrLines[3] = { - - ColorToARGB(clrDodgerBlue, 235), - - ColorToARGB(clrOrange, 235), - - ColorToARGB(clrMagenta, 235) - - }; - - const string tags[3] = { "d1 velocity", "d2 acceleration", "d3 jerk" }; - - const int nPts = MathMin(InpCanvasPlotBars, ArraySize(d1)); - - if(nPts < 3) - - { - - g_deriv_canvas.Update(); - - return; - - } - - for(int r = 0; r < rows; r++) - - { - - const int yBase = r * rowH; - - const int midY = yBase + rowH / 2; - - g_deriv_canvas.LineAA(0.0, (double)midY, (double)(panelW - 1), (double)midY, ColorToARGB(InpCanvasGridColor, 70)); - - double vmin = DBL_MAX; - - double vmax = -DBL_MAX; - - for(int si = 0; si < nPts; si++) - - { - - const double v = CanvasSeriesAt(r, si, d1, d2, d3); - - if(v == EMPTY_VALUE || !MathIsValidNumber(v)) - - continue; - - if(v < vmin) - - vmin = v; - - if(v > vmax) - - vmax = v; - - } - - if(vmin == DBL_MAX) - - continue; - - if(MathAbs(vmax - vmin) < 1e-15) - - { - - vmin -= 1.0; - - vmax += 1.0; - - } - - g_deriv_canvas.FontSet("Consolas", -90); - - g_deriv_canvas.TextOut(4, yBase + 2, tags[r], ColorToARGB(clrSilver, 220)); - - const double denom = (double)MathMax(1, nPts - 1); - - for(int si = 0; si < nPts - 1; si++) - - { - - const double v0 = CanvasSeriesAt(r, si, d1, d2, d3); - - const double v1 = CanvasSeriesAt(r, si + 1, d1, d2, d3); - - if(v0 == EMPTY_VALUE || v1 == EMPTY_VALUE) - - continue; - - const double xf0 = (double)(panelW - 1) * (double)(nPts - 1 - si) / denom; - - const double xf1 = (double)(panelW - 1) * (double)(nPts - 2 - si) / denom; - - const double t0 = (v0 - vmin) / (vmax - vmin); - - const double t1 = (v1 - vmin) / (vmax - vmin); - - const int py0 = yBase + 3 + (int)((double)(rowH - 6) * (1.0 - t0)); - - const int py1 = yBase + 3 + (int)((double)(rowH - 6) * (1.0 - t1)); - - g_deriv_canvas.LineAA(xf0, (double)py0, xf1, (double)py1, clrLines[r]); - - } - - } - - g_deriv_canvas.Update(); - - ChartRedraw(0); - -} - -bool HasOurPosition(const string sym) - -{ - - for(int i = PositionsTotal() - 1; i >= 0; i--) - - { - - const ulong t = PositionGetTicket(i); - - if(t == 0 || !PositionSelectByTicket(t)) - - continue; - - if(PositionGetString(POSITION_SYMBOL) != sym) - - continue; - - if((ulong)PositionGetInteger(POSITION_MAGIC) != InpMagic) - - continue; - - return true; - - } - - return false; - -} - -double AtrPoints(const string sym, const ENUM_TIMEFRAMES tf) - -{ - - const int h = iATR(sym, tf, InpAtrPeriod); - - if(h == INVALID_HANDLE) - - return 0.0; - - double b[]; - - ArraySetAsSeries(b, true); - - if(CopyBuffer(h, 0, 1, 1, b) != 1) - - { - - IndicatorRelease(h); - - return 0.0; - - } - - IndicatorRelease(h); - - const double pt = SymbolInfoDouble(sym, SYMBOL_POINT); - - return (pt > 0.0 ? b[0] / pt : 0.0); - -} - -void RemoveDerivativePlotsIndicatorsFromChart() - -{ - - const int nw = (int)ChartGetInteger(0, CHART_WINDOWS_TOTAL); - - for(int w = nw - 1; w >= 0; w--) - - { - - const int nc = ChartIndicatorsTotal(0, w); - - for(int k = nc - 1; k >= 0; k--) - - { - - const string nm = ChartIndicatorName(0, w, k); - - if(StringFind(nm, "DERIV_") >= 0 || - - StringFind(nm, "DERIV_PLOTS") >= 0 || - - StringFind(nm, InpPlotsIndicatorPath) >= 0 || - - StringFind(nm, "DerivativePlots") >= 0) - - ChartIndicatorDelete(0, w, nm); - - } - - } - -} - -bool DerivativePlotsAlreadyOnChart() - -{ - - const int nw = (int)ChartGetInteger(0, CHART_WINDOWS_TOTAL); - - for(int w = 0; w < nw; w++) - - { - - const int nc = ChartIndicatorsTotal(0, w); - - for(int k = 0; k < nc; k++) - - { - - const string nm = ChartIndicatorName(0, w, k); - - if(StringFind(nm, "DERIV_") >= 0 || StringFind(nm, "DERIV_PLOTS") >= 0 || - - StringFind(nm, InpPlotsIndicatorPath) >= 0) - - return true; - - } - - } - - return false; - -} - -// Pass every DerivativePlots input (same order as .mq5) so each WhichDerivative gets its own handle. - -int MakeDerivativePlotsHandle(const string sym, const ENUM_TIMEFRAMES tf, - - const ENUM_DERIVATIVE_VIEW which, const bool unifyY) - -{ - - return iCustom(sym, tf, InpPlotsIndicatorPath, - - InpAppliedPrice, - - which, - - unifyY, - - InpDiffStep, - - InpNormalizePoints, - - InpSmoothPeriod, - - true, - - InpDebugTrace, - - false); - -} - -bool AttachDerivativePlotsIndicator(const string sym, const ENUM_TIMEFRAMES tf) - -{ - - if(!InpAutoAttachDerivativePlots) - - return false; - - if(g_derivPlotsAttachDone) - - return true; - - const string wantPath = TerminalInfoString(TERMINAL_DATA_PATH) + "\\MQL5\\Indicators\\" + InpPlotsIndicatorPath + ".ex5"; - - // ChartIndicatorAdd(chart, subwindow, handle). Subwindow index: use ChartWindowsTotal() before each add - - // so new panes are appended below existing windows (ATR etc.). Fixed 1,2,3 collides with other indicators. - - const bool unifyPass = InpPlotsSeparateWindows ? false : InpPlotsUnifyYScale; - - if(InpPlotsSeparateWindows) - - { - - ResetLastError(); - - const int ind1 = MakeDerivativePlotsHandle(sym, tf, DERIVATIVE_LEVEL_1, unifyPass); - - if(ind1 == INVALID_HANDLE) - - { - - g_derivativePlotsFailedToLoad = true; - - Print("DERIVATIVE_CALC: iCustom(", InpPlotsIndicatorPath, ", d1) failed err=", GetLastError(), - - ". Required:\n ", wantPath); - - if(InpDebugTrace) - - PrintFormat("DERIVATIVE_CALC dbg iCustom d1 sym=%s tf=%s", sym, EnumToString(tf)); - - return false; - - } - - ResetLastError(); - - const int ind2 = MakeDerivativePlotsHandle(sym, tf, DERIVATIVE_LEVEL_2, unifyPass); - - if(ind2 == INVALID_HANDLE) - - { - - IndicatorRelease(ind1); - - g_derivativePlotsFailedToLoad = true; - - Print("DERIVATIVE_CALC: iCustom(", InpPlotsIndicatorPath, ", d2) failed err=", GetLastError(), - - ". Required:\n ", wantPath); - - return false; - - } - - ResetLastError(); - - const int ind3 = MakeDerivativePlotsHandle(sym, tf, DERIVATIVE_LEVEL_3, unifyPass); - - if(ind3 == INVALID_HANDLE) - - { - - IndicatorRelease(ind1); - - IndicatorRelease(ind2); - - g_derivativePlotsFailedToLoad = true; - - Print("DERIVATIVE_CALC: iCustom(", InpPlotsIndicatorPath, ", d3) failed err=", GetLastError(), - - ". Required:\n ", wantPath); - - return false; - - } - - if(InpDebugTrace) - - PrintFormat("DERIVATIVE_CALC dbg triple iCustom handles ind1=%d ind2=%d ind3=%d (should differ)", - - ind1, ind2, ind3); - - RemoveDerivativePlotsIndicatorsFromChart(); - - int sw = (int)ChartGetInteger(0, CHART_WINDOWS_TOTAL); - - ResetLastError(); - - const bool ok1 = ChartIndicatorAdd(0, sw, ind1); - - const int err1 = GetLastError(); - - sw = (int)ChartGetInteger(0, CHART_WINDOWS_TOTAL); - - ResetLastError(); - - const bool ok2 = ChartIndicatorAdd(0, sw, ind2); - - const int err2 = GetLastError(); - - sw = (int)ChartGetInteger(0, CHART_WINDOWS_TOTAL); - - ResetLastError(); - - const bool ok3 = ChartIndicatorAdd(0, sw, ind3); - - const int err3 = GetLastError(); - - IndicatorRelease(ind1); - - IndicatorRelease(ind2); - - IndicatorRelease(ind3); - - if(!ok1 || !ok2 || !ok3) - - { - - g_derivativePlotsFailedToLoad = true; - - Print("DERIVATIVE_CALC: ChartIndicatorAdd (3 panes) failed ok=", ok1, ",", ok2, ",", ok3, - - " err=", err1, ",", err2, ",", err3, ". File: ", wantPath); - - return false; - - } - - g_derivativePlotsFailedToLoad = false; - - g_derivPlotsAttachDone = true; - - ChartRedraw(0); - - Print("DERIVATIVE_CALC: DerivativePlots attached as three stacked subwindows (indices chosen from CHART_WINDOWS_TOTAL)."); - - if(InpDebugTrace) - - PrintFormat("DERIVATIVE_CALC dbg triple attach OK sym=%s tf=%s", sym, EnumToString(tf)); - - return true; - - } - - ResetLastError(); - - const int ind = MakeDerivativePlotsHandle(sym, tf, InpWhichDerivative, unifyPass); - - if(ind == INVALID_HANDLE) - - { - - g_derivativePlotsFailedToLoad = true; - - Print("DERIVATIVE_CALC: iCustom(\"", InpPlotsIndicatorPath, "\") failed err=", GetLastError(), - - ". MT5 could not read the compiled indicator. Required file:\n ", wantPath, - - "\nCopy lab\\\\EAs\\\\DerivativePlots.mq5 into that Indicators folder, open in MetaEditor, press Compile (F7)."); - - if(InpDebugTrace) - - PrintFormat("DERIVATIVE_CALC dbg iCustom sym=%s tf=%s applied=%d which=%d unify=%s h=%d norm=%s sm=%d", - - sym, EnumToString(tf), (int)InpAppliedPrice, (int)InpWhichDerivative, - - InpPlotsUnifyYScale ? "on" : "off", - - InpDiffStep, InpNormalizePoints ? "on" : "off", InpSmoothPeriod); - - return false; - - } - - RemoveDerivativePlotsIndicatorsFromChart(); - - int sw = (int)ChartGetInteger(0, CHART_WINDOWS_TOTAL); - - ResetLastError(); - - const bool ok = ChartIndicatorAdd(0, sw, ind); - - const int errAfterAdd = GetLastError(); - - IndicatorRelease(ind); - - if(!ok) - - { - - g_derivativePlotsFailedToLoad = true; - - Print("DERIVATIVE_CALC: ChartIndicatorAdd failed err=", errAfterAdd, - - ". Expected file present: ", wantPath); - - return false; - - } - - g_derivativePlotsFailedToLoad = false; - - g_derivPlotsAttachDone = true; - - ChartRedraw(0); - - Print("DERIVATIVE_CALC: subwindow indicator attached (inputs synced from EA)."); - - if(InpDebugTrace) - - PrintFormat("DERIVATIVE_CALC dbg attach OK handle_was_valid ChartIndicatorAdd err=%d sym=%s tf=%s sw=%d", - - errAfterAdd, sym, EnumToString(tf), sw); - - return true; - -} - -void TryDemoTrade(const string sym, const ENUM_TIMEFRAMES tf, - - const double d1, const double d2, const double d3) - -{ - - if(!InpTradeEnabled || HasOurPosition(sym)) - - return; - - bool wantBuy = false; - - bool wantSell = false; - - switch(InpWhichDerivative) - - { - - case DERIVATIVE_ALL: - - case DERIVATIVE_LEVEL_1: - - wantBuy = (d1 > 0.0 && d2 > 0.0); - - wantSell = (d1 < 0.0 && d2 < 0.0); - - break; - - case DERIVATIVE_LEVEL_2: - - wantBuy = (d2 > 0.0); - - wantSell = (d2 < 0.0); - - break; - - default: - - wantBuy = (d3 > 0.0); - - wantSell = (d3 < 0.0); - - break; - - } - - if(!wantBuy && !wantSell) - - return; - - MqlTick tick; - - if(!SymbolInfoTick(sym, tick)) - - return; - - const double atrPts = AtrPoints(sym, tf); - - const double pt = SymbolInfoDouble(sym, SYMBOL_POINT); - - const double slPts = MathMax(atrPts * InpSlAtrMult, 10.0); - - const double tpPts = MathMax(atrPts * InpTpAtrMult, 10.0); - - double sl = 0.0, tp = 0.0; - - if(wantBuy) - - { - - sl = tick.ask - slPts * pt; - - tp = tick.ask + tpPts * pt; - - g_trade.Buy(InpLots, sym, tick.ask, sl, tp, "DERIVATIVE_CALC demo"); - - } - - else if(wantSell) - - { - - sl = tick.bid + slPts * pt; - - tp = tick.bid - tpPts * pt; - - g_trade.Sell(InpLots, sym, tick.bid, sl, tp, "DERIVATIVE_CALC demo"); - - } - -} - -int OnInit() - -{ - - g_derivPlotsAttachDone = false; - - g_lastCommentWallMs = 0; - - g_chartSymbol = InpSymbol; - - StringTrimLeft(g_chartSymbol); - - StringTrimRight(g_chartSymbol); - - if(StringLen(g_chartSymbol) == 0) - - g_chartSymbol = _Symbol; - - if(!SymbolSelect(g_chartSymbol, true)) - - { - - Print("DERIVATIVE_CALC EA: cannot select symbol ", g_chartSymbol); - - return INIT_FAILED; - - } - - g_trade.SetExpertMagicNumber((long)InpMagic); - - g_trade.SetDeviationInPoints(InpSlippagePoints); - - g_trade.SetTypeFillingBySymbol(g_chartSymbol); - - ENUM_TIMEFRAMES tf = InpSignalTF; - - if(tf == PERIOD_CURRENT) - - tf = (ENUM_TIMEFRAMES)Period(); - - Print("DERIVATIVE_CALC EA started on ", g_chartSymbol, " ", EnumToString(tf), - - ". This is an Expert Advisor — not the Accelerator indicator."); - - if(InpDebugTrace) - - PrintFormat("DERIVATIVE_CALC dbg chart_TF=%s signal_TF=%s normalize=%s h=%d sm=%d tester=%s visual=%s", - - EnumToString((ENUM_TIMEFRAMES)Period()), EnumToString(tf), - - InpNormalizePoints ? "on" : "off", InpDiffStep, InpSmoothPeriod, - - MQLInfoInteger(MQL_TESTER) ? "yes" : "no", - - MQLInfoInteger(MQL_VISUAL_MODE) ? "yes" : "no"); - - DeleteOurHelpObjects(); - - TryBuildHelpPanel(); - - // Do not call iCustom / ChartIndicatorAdd here — Strategy Tester treats failed indicator load in OnInit as a critical error. - - // Attachment runs on first OnTick instead (see g_pendingDerivativePlotsAttach). - - if(InpUseCanvasPlots) - - { - - RemoveDerivativePlotsIndicatorsFromChart(); - - EventSetMillisecondTimer(120); - - } - - else - - EventKillTimer(); - - if(InpAutoAttachDerivativePlots && !InpUseCanvasPlots) - - { - - RemoveDerivativePlotsIndicatorsFromChart(); - - const bool in_tester = (MQLInfoInteger(MQL_TESTER) != 0); - - const bool visual = (MQLInfoInteger(MQL_VISUAL_MODE) != 0); - - const bool skip_tester_attach = (in_tester && !visual && !InpAttachPlotsInTester); - - if(skip_tester_attach) - - { - - Print("DERIVATIVE_CALC: non-visual Strategy Tester - skipping DerivativePlots attach. ", - - "Use visual mode for subwindow plots, or set InpAttachPlotsInTester=true if DerivativePlots.ex5 is in MQL5\\Indicators\\."); - - } - - else - - { - - g_pendingDerivativePlotsAttach = true; - - Print("DERIVATIVE_CALC: DerivativePlots attach scheduled on first tick (OnInit cannot safely load custom indicators in tester)."); - - } - - } - - return INIT_SUCCEEDED; - -} - -void OnDeinit(const int reason) - -{ - - EventKillTimer(); - - if(g_deriv_canvas_created) - - { - - g_deriv_canvas.Destroy(); - - g_deriv_canvas_created = false; - - } - - ObjectDelete(0, DERIV_CANVAS_OBJ); - - g_derivPlotsAttachDone = false; - - DeleteOurHelpObjects(); - - Comment(""); - -} - -void OnTimer() - -{ - - if(!InpUseCanvasPlots) - - return; - - const uint now = GetTickCount(); - - if(InpCanvasRedrawMs > 0 && g_lastCanvasRedrawMs != 0 && - - (now - g_lastCanvasRedrawMs) < (uint)InpCanvasRedrawMs) - - return; - - g_lastCanvasRedrawMs = now; - - UpdateDerivativeCanvasStrip(); - -} - -void OnTick() - -{ - - ENUM_TIMEFRAMES tf = InpSignalTF; - - if(tf == PERIOD_CURRENT) - - tf = (ENUM_TIMEFRAMES)Period(); - - if(g_pendingDerivativePlotsAttach && !InpUseCanvasPlots) - - { - - g_pendingDerivativePlotsAttach = false; - - AttachDerivativePlotsIndicator(g_chartSymbol, tf); - - } - - const datetime barOpen = iTime(g_chartSymbol, tf, 0); - - if(barOpen == 0) - - return; - - if(barOpen == g_lastBarTime) - - return; - - g_lastBarTime = barOpen; - - double d1 = 0.0, d2 = 0.0, d3 = 0.0; - - if(!ComputeDerivatives(g_chartSymbol, tf, d1, d2, d3)) - - { - - if(InpDebugTrace) - - PrintFormat("DERIVATIVE_CALC dbg ComputeDerivatives FAILED sym=%s tf=%s bar=%s pt=%.12g", - - g_chartSymbol, EnumToString(tf), TimeToString(barOpen, TIME_DATE | TIME_MINUTES), - - SymbolInfoDouble(g_chartSymbol, SYMBOL_POINT)); - - if(InpShowComment) - - CommentThrottled("DERIVATIVE_CALC: not enough bars yet on " + g_chartSymbol + " " + EnumToString(tf) + - - DerivativePlotsMissingHint()); - - return; - - } - - if(InpDebugTrace) - - PrintFormat("DERIVATIVE_CALC dbg bar=%s sym=%s chart_TF=%s signal_TF=%s | d1=%.8g d2=%.8g d3=%.8g | pt=%.12g norm=%s h=%d", - - TimeToString(barOpen, TIME_DATE | TIME_MINUTES), g_chartSymbol, - - EnumToString((ENUM_TIMEFRAMES)Period()), EnumToString(tf), - - d1, d2, d3, SymbolInfoDouble(g_chartSymbol, SYMBOL_POINT), - - InpNormalizePoints ? "on" : "off", InpDiffStep); - - if(InpShowComment) - - { - - string c = "DERIVATIVE_CALC EA | " + g_chartSymbol + - - "\nChart TF: " + EnumToString((ENUM_TIMEFRAMES)Period()) + - - " Signal TF (inputs): " + EnumToString(tf) + - - "\nd1=" + DoubleToString(d1, 4) + " d2=" + DoubleToString(d2, 4) + " d3=" + DoubleToString(d3, 4) + - - "\n(InpWhichDerivative=" + IntegerToString((int)InpWhichDerivative) + - - " h=" + IntegerToString(InpDiffStep) + " sm=" + IntegerToString(InpSmoothPeriod) + ")" + - - (InpUseCanvasPlots - - ? "\nPlots: EA canvas strip (bottom of chart)." - - : ("\nPlots below: DerivativePlots indicator." + DerivativePlotsMissingHint())); - - CommentThrottled(c); - - } - - TryDemoTrade(g_chartSymbol, tf, d1, d2, d3); - -} - -//+------------------------------------------------------------------+ - diff --git a/lab/EAs/DerivativePlots.mq5 b/lab/EAs/DerivativePlots.mq5 deleted file mode 100644 index 5671e9f..0000000 --- a/lab/EAs/DerivativePlots.mq5 +++ /dev/null @@ -1,425 +0,0 @@ -//+------------------------------------------------------------------+ -//| DerivativePlots.mq5 | -//| Subwindow line plots for d1 / d2 / d3 — use with Derivative EA | -//| Compile into MQL5\\Indicators\\ (same name). EA can ChartIndicatorAdd.| -//+------------------------------------------------------------------+ -#property copyright "Lab" -#property link "" -#property version "1.10" -#property indicator_separate_window -#property indicator_buffers 3 -#property indicator_plots 3 -#property description "Plots d1 d2 d3 below chart. Match inputs to Derivative EA." - -#property indicator_label1 "d1 velocity" -#property indicator_type1 DRAW_LINE -#property indicator_color1 clrDodgerBlue -#property indicator_width1 1 - -#property indicator_label2 "d2 acceleration" -#property indicator_type2 DRAW_LINE -#property indicator_color2 clrOrange -#property indicator_width2 1 - -#property indicator_label3 "d3 jerk" -#property indicator_type3 DRAW_LINE -#property indicator_color3 clrMagenta -#property indicator_width3 1 - -enum ENUM_DERIVATIVE_VIEW -{ - DERIVATIVE_ALL = 0, - DERIVATIVE_LEVEL_1 = 1, - DERIVATIVE_LEVEL_2 = 2, - DERIVATIVE_LEVEL_3 = 3 -}; - -input group "=== Source ===" -input ENUM_APPLIED_PRICE InpAppliedPrice = PRICE_CLOSE; - -input group "=== Layout ===" -input ENUM_DERIVATIVE_VIEW InpWhichDerivative = DERIVATIVE_ALL; // Single-line modes clear other buffers to EMPTY_VALUE so Y-scale matches the visible line -input bool InpUnifyPlotYScale = true; // Scale d2,d3 for comparable magnitude when normalized (shared subwindow) - -input group "=== Calculus ===" -input int InpDiffStep = 1; -input bool InpNormalizePoints = true; - -input group "=== Smoothing ===" -input int InpSmoothPeriod = 0; - -input group "=== Status ===" -input bool InpShowValueBanner = true; // Text label; short name is DERIV_ALL / DERIV_d1 / DERIV_d2 / DERIV_d3 for ChartWindowFind - -input group "=== Debug (Experts / Journal) ===" -input bool InpDebugTrace = false; // Print diagnostics to Experts tab -input bool InpDebugLogEveryCalculate = false; // Log every OnCalculate (very verbose) - -double ExtD1[]; -double ExtD2[]; -double ExtD3[]; - -string g_deriv_chart_title = "DERIV_ALL"; -string g_deriv_stat_obj = "DerivPV_ALL"; - -void SetupDerivIdentity() -{ - switch(InpWhichDerivative) - { - case DERIVATIVE_ALL: - g_deriv_chart_title = "DERIV_ALL"; - g_deriv_stat_obj = "DerivPV_ALL"; - break; - case DERIVATIVE_LEVEL_1: - g_deriv_chart_title = "DERIV_d1"; - g_deriv_stat_obj = "DerivPV_d1"; - break; - case DERIVATIVE_LEVEL_2: - g_deriv_chart_title = "DERIV_d2"; - g_deriv_stat_obj = "DerivPV_d2"; - break; - default: - g_deriv_chart_title = "DERIV_d3"; - g_deriv_stat_obj = "DerivPV_d3"; - break; - } -} - -// OnCalculate passes OHLC with index 0 = oldest bar (non-series). Do not ArraySetAsSeries() those arrays. - -double AppliedPriceRowNs(const int pos, const double &open[], const double &high[], - const double &low[], const double &close[]) -{ - switch(InpAppliedPrice) - { - case PRICE_OPEN: return open[pos]; - case PRICE_HIGH: return high[pos]; - case PRICE_LOW: return low[pos]; - case PRICE_CLOSE: return close[pos]; - case PRICE_MEDIAN: return (high[pos] + low[pos]) * 0.5; - case PRICE_TYPICAL: return (high[pos] + low[pos] + close[pos]) / 3.0; - case PRICE_WEIGHTED: return (high[pos] + low[pos] + close[pos] + close[pos]) / 4.0; - default: return close[pos]; - } -} - -void SmoothPriceArrayNs(const int total, const double &src[], double &dst[]) -{ - ArrayResize(dst, total); - const int p = InpSmoothPeriod; - if(p <= 1) - { - ArrayCopy(dst, src); - return; - } - const double alpha = 2.0 / (p + 1.0); - dst[0] = src[0]; - for(int pos = 1; pos < total; pos++) - dst[pos] = alpha * src[pos] + (1.0 - alpha) * dst[pos - 1]; -} - -double SrcNs(const int pos, const bool useSmooth, const double &smooth[], const double &raw[]) -{ - return useSmooth ? smooth[pos] : raw[pos]; -} - -double DerivativeScalePts() -{ - double pt = SymbolInfoDouble(_Symbol, SYMBOL_POINT); - if(pt <= 0.0 || !MathIsValidNumber(pt)) - pt = _Point; - if(!InpNormalizePoints) - return 1.0; - if(pt <= 0.0) - return 1.0; - return pt; -} - -void DerivPlotsTrace(const int rates_total, const int prev_calculated, - const int h, const int min_bars, const double scale, const bool useSmooth, - const double &close[], const double &WorkNs[], const datetime &time[]) -{ - if(!InpDebugTrace) - return; - - static int s_call = 0; - s_call++; - - const int newest = rates_total - 1; - const datetime barOpen = time[newest]; - - static datetime s_prevBarOpen = 0; - const bool isNewBarTime = (barOpen != s_prevBarOpen); - if(isNewBarTime) - s_prevBarOpen = barOpen; - - const bool fullRecalc = (prev_calculated == 0); - - if(InpDebugLogEveryCalculate) - { - PrintFormat("DERIV_PLOTS #%d prev_calc=%d rates=%d bar=%s | d1[0]=%.8g d2[0]=%.8g d3[0]=%.8g", - s_call, prev_calculated, rates_total, TimeToString(barOpen, TIME_DATE | TIME_MINUTES), - ExtD1[0], ExtD2[0], ExtD3[0]); - return; - } - - if(fullRecalc) - { - const double pt = SymbolInfoDouble(_Symbol, SYMBOL_POINT); - const double rawStep = (newest >= h) ? (WorkNs[newest] - WorkNs[newest - h]) : 0.0; - PrintFormat("DERIV_PLOTS FULL_CALC #%d sym=%s rates=%d prev_calc=%d h=%d min_need=%d smooth=%s which=%d", - s_call, _Symbol, rates_total, prev_calculated, h, min_bars, - useSmooth ? "on" : "off", (int)InpWhichDerivative); - PrintFormat(" scale=%.12g normalize=%s SYPOINT=%.12g _Point=%.12g SYM_DIGITS=%d", - scale, InpNormalizePoints ? "on" : "off", pt, _Point, - (int)SymbolInfoInteger(_Symbol, SYMBOL_DIGITS)); - PrintFormat(" close[oldest]=%.8f close[newest]=%.8f rawStep(newest..newest-h)=%.8f", - close[0], close[newest], rawStep); - PrintFormat(" series buf [0]=current bar: d1=%.8g d2=%.8g d3=%.8g (EMPTY_VALUE=%.8g)", - ExtD1[0], ExtD2[0], ExtD3[0], EMPTY_VALUE); - } - else if(isNewBarTime) - { - PrintFormat("DERIV_PLOTS BAR %s rates=%d prev_calc=%d | d1[0]=%.8g d2[0]=%.8g d3[0]=%.8g", - TimeToString(barOpen, TIME_DATE | TIME_MINUTES), rates_total, prev_calculated, - ExtD1[0], ExtD2[0], ExtD3[0]); - } -} - -string FormatPlotVal(const double v) -{ - if(v == EMPTY_VALUE || !MathIsValidNumber(v)) - return "—"; - return DoubleToString(v, 4); -} - -void UpdateValueBanner(const int rates_total) -{ - if(!InpShowValueBanner || rates_total < 1) - return; - - string txt = ""; - switch(InpWhichDerivative) - { - case DERIVATIVE_ALL: - txt = StringFormat("d1=%s d2=%s d3=%s (h=%d sm=%d%s)", - FormatPlotVal(ExtD1[0]), FormatPlotVal(ExtD2[0]), FormatPlotVal(ExtD3[0]), - InpDiffStep, InpSmoothPeriod, InpUnifyPlotYScale ? " unifyY" : ""); - break; - case DERIVATIVE_LEVEL_1: - txt = StringFormat("d1=%s", FormatPlotVal(ExtD1[0])); - break; - case DERIVATIVE_LEVEL_2: - txt = StringFormat("d2=%s", FormatPlotVal(ExtD2[0])); - break; - default: - txt = StringFormat("d3=%s", FormatPlotVal(ExtD3[0])); - break; - } - - IndicatorSetString(INDICATOR_SHORTNAME, g_deriv_chart_title); - - const int sub = ChartWindowFind(0, g_deriv_chart_title); - if(sub < 0) - return; - - if(ObjectFind(0, g_deriv_stat_obj) < 0) - { - if(!ObjectCreate(0, g_deriv_stat_obj, OBJ_LABEL, sub, 0, 0)) - return; - ObjectSetInteger(0, g_deriv_stat_obj, OBJPROP_CORNER, CORNER_LEFT_UPPER); - ObjectSetInteger(0, g_deriv_stat_obj, OBJPROP_ANCHOR, ANCHOR_LEFT_UPPER); - ObjectSetInteger(0, g_deriv_stat_obj, OBJPROP_XDISTANCE, 6); - ObjectSetInteger(0, g_deriv_stat_obj, OBJPROP_YDISTANCE, 16); - ObjectSetInteger(0, g_deriv_stat_obj, OBJPROP_COLOR, clrSilver); - ObjectSetInteger(0, g_deriv_stat_obj, OBJPROP_FONTSIZE, 9); - ObjectSetString(0, g_deriv_stat_obj, OBJPROP_FONT, "Consolas"); - ObjectSetInteger(0, g_deriv_stat_obj, OBJPROP_SELECTABLE, false); - ObjectSetInteger(0, g_deriv_stat_obj, OBJPROP_HIDDEN, true); - } - ObjectSetString(0, g_deriv_stat_obj, OBJPROP_TEXT, txt); -} - -// Hide unused buffers from autoscale: DRAW_NONE plots can still skew separate-window limits if buffers hold numbers. -void MaskBuffersForDerivativeView() -{ - switch(InpWhichDerivative) - { - case DERIVATIVE_ALL: - break; - case DERIVATIVE_LEVEL_1: - ArrayInitialize(ExtD2, EMPTY_VALUE); - ArrayInitialize(ExtD3, EMPTY_VALUE); - break; - case DERIVATIVE_LEVEL_2: - ArrayInitialize(ExtD1, EMPTY_VALUE); - ArrayInitialize(ExtD3, EMPTY_VALUE); - break; - default: - ArrayInitialize(ExtD1, EMPTY_VALUE); - ArrayInitialize(ExtD2, EMPTY_VALUE); - break; - } -} - -void ApplyDerivativeViewMode() -{ - switch(InpWhichDerivative) - { - case DERIVATIVE_ALL: - PlotIndexSetInteger(0, PLOT_DRAW_TYPE, DRAW_LINE); - PlotIndexSetInteger(1, PLOT_DRAW_TYPE, DRAW_LINE); - PlotIndexSetInteger(2, PLOT_DRAW_TYPE, DRAW_LINE); - PlotIndexSetInteger(0, PLOT_LINE_COLOR, clrDodgerBlue); - PlotIndexSetInteger(1, PLOT_LINE_COLOR, clrOrange); - PlotIndexSetInteger(2, PLOT_LINE_COLOR, clrMagenta); - PlotIndexSetInteger(0, PLOT_LINE_WIDTH, 2); - PlotIndexSetInteger(1, PLOT_LINE_WIDTH, 3); - PlotIndexSetInteger(2, PLOT_LINE_WIDTH, 3); - PlotIndexSetInteger(0, PLOT_LINE_STYLE, STYLE_SOLID); - PlotIndexSetInteger(1, PLOT_LINE_STYLE, STYLE_SOLID); - PlotIndexSetInteger(2, PLOT_LINE_STYLE, STYLE_SOLID); - PlotIndexSetDouble(0, PLOT_EMPTY_VALUE, EMPTY_VALUE); - PlotIndexSetDouble(1, PLOT_EMPTY_VALUE, EMPTY_VALUE); - PlotIndexSetDouble(2, PLOT_EMPTY_VALUE, EMPTY_VALUE); - break; - case DERIVATIVE_LEVEL_1: - PlotIndexSetInteger(0, PLOT_DRAW_TYPE, DRAW_LINE); - PlotIndexSetInteger(1, PLOT_DRAW_TYPE, DRAW_NONE); - PlotIndexSetInteger(2, PLOT_DRAW_TYPE, DRAW_NONE); - PlotIndexSetInteger(0, PLOT_LINE_COLOR, clrDodgerBlue); - PlotIndexSetInteger(0, PLOT_LINE_WIDTH, 2); - PlotIndexSetDouble(0, PLOT_EMPTY_VALUE, EMPTY_VALUE); - break; - case DERIVATIVE_LEVEL_2: - PlotIndexSetInteger(0, PLOT_DRAW_TYPE, DRAW_NONE); - PlotIndexSetInteger(1, PLOT_DRAW_TYPE, DRAW_LINE); - PlotIndexSetInteger(2, PLOT_DRAW_TYPE, DRAW_NONE); - PlotIndexSetInteger(1, PLOT_LINE_COLOR, clrOrange); - PlotIndexSetInteger(1, PLOT_LINE_WIDTH, 3); - PlotIndexSetDouble(1, PLOT_EMPTY_VALUE, EMPTY_VALUE); - break; - default: - PlotIndexSetInteger(0, PLOT_DRAW_TYPE, DRAW_NONE); - PlotIndexSetInteger(1, PLOT_DRAW_TYPE, DRAW_NONE); - PlotIndexSetInteger(2, PLOT_DRAW_TYPE, DRAW_LINE); - PlotIndexSetInteger(2, PLOT_LINE_COLOR, clrMagenta); - PlotIndexSetInteger(2, PLOT_LINE_WIDTH, 3); - PlotIndexSetDouble(2, PLOT_EMPTY_VALUE, EMPTY_VALUE); - break; - } -} - -int OnInit() -{ - SetIndexBuffer(0, ExtD1, INDICATOR_DATA); - SetIndexBuffer(1, ExtD2, INDICATOR_DATA); - SetIndexBuffer(2, ExtD3, INDICATOR_DATA); - SetupDerivIdentity(); - ApplyDerivativeViewMode(); - IndicatorSetString(INDICATOR_SHORTNAME, g_deriv_chart_title); - const int dig = (int)SymbolInfoInteger(_Symbol, SYMBOL_DIGITS); - IndicatorSetInteger(INDICATOR_DIGITS, MathMax(6, dig)); - if(InpDebugTrace) - PrintFormat("DERIV_PLOTS INIT sym=%s applied=%s h=%d sm=%d norm=%s dbg_every_calc=%s", - _Symbol, EnumToString(InpAppliedPrice), InpDiffStep, InpSmoothPeriod, - InpNormalizePoints ? "on" : "off", InpDebugLogEveryCalculate ? "on" : "off"); - return INIT_SUCCEEDED; -} - -void OnDeinit(const int reason) -{ - ObjectDelete(0, g_deriv_stat_obj); -} - -int OnCalculate(const int rates_total, - const int prev_calculated, - const datetime &time[], - const double &open[], - const double &high[], - const double &low[], - const double &close[], - const long &tick_volume[], - const long &volume[], - const int &spread[]) -{ - const int h = MathMax(InpDiffStep, 1); - const int min_bars = 3 * h + 2; - - ApplyDerivativeViewMode(); - - ArrayResize(ExtD1, rates_total); - ArrayResize(ExtD2, rates_total); - ArrayResize(ExtD3, rates_total); - ArraySetAsSeries(ExtD1, true); - ArraySetAsSeries(ExtD2, true); - ArraySetAsSeries(ExtD3, true); - ArrayInitialize(ExtD1, EMPTY_VALUE); - ArrayInitialize(ExtD2, EMPTY_VALUE); - ArrayInitialize(ExtD3, EMPTY_VALUE); - - if(rates_total < min_bars) - { - if(InpDebugTrace) - PrintFormat("DERIV_PLOTS SHORT_HISTORY sym=%s rates=%d need=%d (3*h+2, h=%d) — buffers left EMPTY", - _Symbol, rates_total, min_bars, h); - return rates_total; - } - - double WorkNs[]; - ArrayResize(WorkNs, rates_total); - for(int pos = 0; pos < rates_total; pos++) - WorkNs[pos] = AppliedPriceRowNs(pos, open, high, low, close); - - static double SmoothNs[]; - SmoothPriceArrayNs(rates_total, WorkNs, SmoothNs); - - const bool useSmooth = (InpSmoothPeriod > 1); - const double scale = DerivativeScalePts(); - - // Bar index pos: 0 = oldest, rates_total-1 = newest. Map to series buffer si = rates_total - 1 - pos (0 = current bar). - const double hs = (double)h * scale; - const bool unify = InpUnifyPlotYScale; - - for(int pos = h; pos < rates_total; pos++) - { - const double d1 = (SrcNs(pos, useSmooth, SmoothNs, WorkNs) - SrcNs(pos - h, useSmooth, SmoothNs, WorkNs)) / ((double)h * scale); - const int si = rates_total - 1 - pos; - ExtD1[si] = d1; - } - - for(int pos = 2 * h; pos < rates_total; pos++) - { - const double d1_pos = (SrcNs(pos, useSmooth, SmoothNs, WorkNs) - SrcNs(pos - h, useSmooth, SmoothNs, WorkNs)) / ((double)h * scale); - const double d1_pm = (SrcNs(pos - h, useSmooth, SmoothNs, WorkNs) - SrcNs(pos - 2 * h, useSmooth, SmoothNs, WorkNs)) / ((double)h * scale); - double d2 = (d1_pos - d1_pm) / ((double)h * scale); - if(unify) - d2 *= hs; - const int si = rates_total - 1 - pos; - ExtD2[si] = d2; - } - - for(int pos = 3 * h; pos < rates_total; pos++) - { - const double d1_pos = (SrcNs(pos, useSmooth, SmoothNs, WorkNs) - SrcNs(pos - h, useSmooth, SmoothNs, WorkNs)) / ((double)h * scale); - const double d1_pm = (SrcNs(pos - h, useSmooth, SmoothNs, WorkNs) - SrcNs(pos - 2 * h, useSmooth, SmoothNs, WorkNs)) / ((double)h * scale); - const double d1_pm2 = (SrcNs(pos - 2 * h, useSmooth, SmoothNs, WorkNs) - SrcNs(pos - 3 * h, useSmooth, SmoothNs, WorkNs)) / ((double)h * scale); - const double d2_pos = (d1_pos - d1_pm) / ((double)h * scale); - const double d2_pm = (d1_pm - d1_pm2) / ((double)h * scale); - double d3 = (d2_pos - d2_pm) / ((double)h * scale); - if(unify) - d3 *= hs * hs; - const int si = rates_total - 1 - pos; - ExtD3[si] = d3; - } - - MaskBuffersForDerivativeView(); - - DerivPlotsTrace(rates_total, prev_calculated, h, min_bars, scale, useSmooth, close, WorkNs, time); - - UpdateValueBanner(rates_total); - - return rates_total; -} - -//+------------------------------------------------------------------+ diff --git a/lab/EAs/EMAPriceSlope.mq5 b/lab/EAs/EMAPriceSlope.mq5 deleted file mode 100644 index fbdd37b..0000000 --- a/lab/EAs/EMAPriceSlope.mq5 +++ /dev/null @@ -1,559 +0,0 @@ -//+------------------------------------------------------------------+ -//| EMAPriceSlope.mq5 | -//| Copyright 2025, MetaQuotes Ltd. | -//| https://www.mql5.com | -//+------------------------------------------------------------------+ -#property copyright "Copyright 2025, MetaQuotes Ltd." -#property link "https://www.mql5.com" -#property version "1.00" -#property description "Expert Advisor using EMA Slope for intelligent trend trading" -#property description "Trades based on EMA momentum, slope strength, and price confirmation" - -#include - -//--- Input parameters -input group "Timeframe Settings" -input ENUM_TIMEFRAMES InpTimeframe = PERIOD_M15; // Trading Timeframe - -input group "EMA Settings" -input int InpEMAPeriod = 20; // EMA Period -input int InpSlopeBars = 3; // Slope Calculation Bars (lookback for slope) - -input group "Slope Trading Logic" -input double InpMinSlopeStrength = 0.0001; // Minimum Slope Strength (0.01% per bar) -input bool InpUseSlopeAcceleration = true; // Require slope acceleration (increasing momentum) -input double InpMinAcceleration = 0.00005; // Minimum Acceleration Threshold -input bool InpUsePriceConfirmation = true; // Require price above/below EMA for confirmation -input double InpPriceDistanceMultiplier = 0.5; // Price distance from EMA (ATR multiplier) - -input group "Entry Filters" -input bool InpUseVolatilityFilter = true; // Use ATR volatility filter -input double InpMinATR = 0.0002; // Minimum ATR for trading (filter low volatility) -input double InpMaxATR = 0.01; // Maximum ATR for trading (filter high volatility) -input bool InpUseRSIFilter = false; // Use RSI filter -input int InpRSIPeriod = 14; // RSI Period -input double InpRSIOverbought = 70; // RSI Overbought (avoid longs) -input double InpRSIOversold = 30; // RSI Oversold (avoid shorts) - -input group "Trading Hours (Server Time)" -input int InpStartHour = 8; // Trading Start Hour (0-23) -input int InpEndHour = 18; // Trading End Hour (0-23) -input bool InpUseTimeFilter = true; // Use Trading Hours Filter - -input group "Risk Management" -input double InpLotSize = 0.01; // Lot Size -input int InpStopLoss = 50; // Stop Loss (pips) - 0 = no SL -input int InpTakeProfit = 100; // Take Profit (pips) - 0 = no TP -input bool InpUseTrailingStop = true; // Use Trailing Stop -input int InpTrailingStop = 30; // Trailing Stop (pips) -input int InpTrailingStep = 5; // Trailing Step (pips) -input int InpMagicNumber = 890123; // Magic Number -input int InpSlippage = 3; // Slippage (points) - -input group "Exit Strategy" -input bool InpUseSlopeReversalExit = true; // Exit on slope reversal -input double InpSlopeReversalThreshold = -0.00005; // Slope reversal threshold (negative slope for long exit) -input bool InpUseEMAExit = false; // Exit when price crosses EMA - -input group "Loss Minimization" -input bool InpUseMaxDailyLoss = true; // Use Max Daily Loss -input double InpMaxDailyLoss = 50.0; // Max Daily Loss (USD) - -//--- Global variables -CTrade trade; -int ema_handle; -int atr_handle; -int rsi_handle; -datetime last_bar_time = 0; -double daily_profit = 0.0; -datetime last_daily_reset = 0; -double last_profit = 0.0; -double last_slope = 0.0; - -//+------------------------------------------------------------------+ -//| Expert initialization function | -//+------------------------------------------------------------------+ -int OnInit() -{ - // Set trade parameters - trade.SetExpertMagicNumber(InpMagicNumber); - trade.SetDeviationInPoints(InpSlippage); - trade.SetTypeFilling(ORDER_FILLING_FOK); - - // Create indicators - ema_handle = iMA(_Symbol, InpTimeframe, InpEMAPeriod, 0, MODE_EMA, PRICE_CLOSE); - - if(InpUseVolatilityFilter) - { - atr_handle = iATR(_Symbol, InpTimeframe, 14); - if(atr_handle == INVALID_HANDLE) - { - Print("ERROR: Failed to create ATR indicator"); - return(INIT_FAILED); - } - } - - if(InpUseRSIFilter) - { - rsi_handle = iRSI(_Symbol, InpTimeframe, InpRSIPeriod, PRICE_CLOSE); - if(rsi_handle == INVALID_HANDLE) - { - Print("ERROR: Failed to create RSI indicator"); - return(INIT_FAILED); - } - } - - if(ema_handle == INVALID_HANDLE) - { - Print("ERROR: Failed to create EMA indicator"); - return(INIT_FAILED); - } - - // Initialize daily tracking - last_daily_reset = TimeCurrent(); - daily_profit = 0.0; - - Print("EMAPriceSlope EA initialized for ", _Symbol); - Print("Timeframe: ", EnumToString(InpTimeframe)); - Print("EMA Period: ", InpEMAPeriod, " Slope Bars: ", InpSlopeBars); - Print("Min Slope Strength: ", InpMinSlopeStrength); - Print("Trading Hours: ", InpStartHour, ":00 - ", InpEndHour, ":00"); - - return(INIT_SUCCEEDED); -} - -//+------------------------------------------------------------------+ -//| Expert deinitialization function | -//+------------------------------------------------------------------+ -void OnDeinit(const int reason) -{ - // Release indicators - if(ema_handle != INVALID_HANDLE) - IndicatorRelease(ema_handle); - if(atr_handle != INVALID_HANDLE) - IndicatorRelease(atr_handle); - if(rsi_handle != INVALID_HANDLE) - IndicatorRelease(rsi_handle); -} - -//+------------------------------------------------------------------+ -//| Expert tick function | -//+------------------------------------------------------------------+ -void OnTick() -{ - // Check if new bar on the specified timeframe - datetime current_bar_time = iTime(_Symbol, InpTimeframe, 0); - if(current_bar_time == last_bar_time) - { - // Still same bar - only manage existing positions - ManagePosition(); - return; - } - last_bar_time = current_bar_time; - - // Reset daily profit at midnight - MqlDateTime dt; - TimeToStruct(TimeCurrent(), dt); - MqlDateTime last_dt; - TimeToStruct(last_daily_reset, last_dt); - bool is_new_day = (dt.day != last_dt.day || dt.month != last_dt.month || dt.year != last_dt.year); - - if(is_new_day) - { - daily_profit = 0.0; - last_daily_reset = TimeCurrent(); - Print("Daily reset: New trading day started. Daily profit reset to 0."); - } - - // Check daily loss limit - if(InpUseMaxDailyLoss && daily_profit <= -InpMaxDailyLoss) - { - Print("Daily loss limit reached: ", daily_profit, " USD. Trading stopped for today."); - return; - } - - // Check trading hours - if(InpUseTimeFilter && !IsWithinTradingHours()) - { - return; // Outside trading hours - } - - // Get EMA values for slope calculation - double ema[]; - ArraySetAsSeries(ema, true); - - // Need enough bars for slope calculation - int bars_needed = InpSlopeBars + 5; - if(CopyBuffer(ema_handle, 0, 0, bars_needed, ema) < bars_needed) - { - Print("ERROR: Failed to copy EMA buffer"); - return; - } - - // Calculate EMA slope (rate of change) - double current_ema = ema[0]; - double previous_ema = ema[InpSlopeBars]; - double slope = (current_ema - previous_ema) / previous_ema; // Percentage change - - // Calculate slope acceleration (change in slope) - double previous_slope = last_slope; - double acceleration = 0.0; - if(previous_slope != 0.0) - { - acceleration = slope - previous_slope; - } - last_slope = slope; - - // Get current price - double current_price = iClose(_Symbol, InpTimeframe, 0); - double price_distance_from_ema = MathAbs(current_price - current_ema) / current_ema; - - // Get ATR for volatility filter - double atr_value = 0.0; - if(InpUseVolatilityFilter) - { - double atr_array[]; - ArraySetAsSeries(atr_array, true); - if(CopyBuffer(atr_handle, 0, 0, 1, atr_array) > 0) - { - atr_value = atr_array[0]; - } - } - - // Get RSI for filter - double rsi_value = 50.0; - if(InpUseRSIFilter) - { - double rsi_array[]; - ArraySetAsSeries(rsi_array, true); - if(CopyBuffer(rsi_handle, 0, 0, 1, rsi_array) > 0) - { - rsi_value = rsi_array[0]; - } - } - - // Check existing position - if(PositionSelect(_Symbol)) - { - ManagePosition(); - - // Check exit conditions - long position_type = PositionGetInteger(POSITION_TYPE); - - // Exit on slope reversal - if(InpUseSlopeReversalExit) - { - if(position_type == POSITION_TYPE_BUY && slope < InpSlopeReversalThreshold) - { - // Long position: exit on negative slope reversal - if(trade.PositionClose(_Symbol)) - { - Print("Position closed: Slope reversal (slope=", slope, ")"); - } - return; - } - else if(position_type == POSITION_TYPE_SELL && slope > -InpSlopeReversalThreshold) - { - // Short position: exit on positive slope reversal - if(trade.PositionClose(_Symbol)) - { - Print("Position closed: Slope reversal (slope=", slope, ")"); - } - return; - } - } - - // Exit when price crosses EMA (if enabled) - if(InpUseEMAExit) - { - double prev_price = iClose(_Symbol, InpTimeframe, 1); - if(position_type == POSITION_TYPE_BUY && current_price < current_ema && prev_price >= ema[1]) - { - if(trade.PositionClose(_Symbol)) - { - Print("Position closed: Price crossed below EMA"); - } - return; - } - else if(position_type == POSITION_TYPE_SELL && current_price > current_ema && prev_price <= ema[1]) - { - if(trade.PositionClose(_Symbol)) - { - Print("Position closed: Price crossed above EMA"); - } - return; - } - } - } - else - { - // No position - check for entry signals - - // Volatility filter - if(InpUseVolatilityFilter && atr_value > 0) - { - if(atr_value < InpMinATR || atr_value > InpMaxATR) - { - return; // Volatility out of range - } - } - - // RSI filter - if(InpUseRSIFilter) - { - if(rsi_value > InpRSIOverbought || rsi_value < InpRSIOversold) - { - return; // RSI in extreme zone - } - } - - // BUY Signal: Positive slope with strength - bool buy_signal = false; - if(slope > InpMinSlopeStrength) - { - // Check acceleration (if enabled) - if(InpUseSlopeAcceleration) - { - if(acceleration > InpMinAcceleration) - { - buy_signal = true; - } - } - else - { - buy_signal = true; - } - - // Price confirmation (if enabled) - if(buy_signal && InpUsePriceConfirmation) - { - double min_distance = atr_value * InpPriceDistanceMultiplier / current_price; - if(price_distance_from_ema < min_distance || current_price < current_ema) - { - buy_signal = false; // Price too close to EMA or below EMA - } - } - - // RSI filter for buy - if(buy_signal && InpUseRSIFilter && rsi_value > InpRSIOverbought) - { - buy_signal = false; - } - } - - // SELL Signal: Negative slope with strength - bool sell_signal = false; - if(slope < -InpMinSlopeStrength) - { - // Check acceleration (if enabled) - if(InpUseSlopeAcceleration) - { - if(acceleration < -InpMinAcceleration) - { - sell_signal = true; - } - } - else - { - sell_signal = true; - } - - // Price confirmation (if enabled) - if(sell_signal && InpUsePriceConfirmation) - { - double min_distance = atr_value * InpPriceDistanceMultiplier / current_price; - if(price_distance_from_ema < min_distance || current_price > current_ema) - { - sell_signal = false; // Price too close to EMA or above EMA - } - } - - // RSI filter for sell - if(sell_signal && InpUseRSIFilter && rsi_value < InpRSIOversold) - { - sell_signal = false; - } - } - - // Execute trades - if(buy_signal) - { - Print("BUY Signal: Slope=", slope, " Acceleration=", acceleration, " Price=", current_price); - OpenBuyPosition(); - } - else if(sell_signal) - { - Print("SELL Signal: Slope=", slope, " Acceleration=", acceleration, " Price=", current_price); - OpenSellPosition(); - } - } -} - -//+------------------------------------------------------------------+ -//| Check if current time is within trading hours | -//+------------------------------------------------------------------+ -bool IsWithinTradingHours() -{ - MqlDateTime dt; - TimeToStruct(TimeCurrent(), dt); - int current_hour = dt.hour; - - // Handle case where end hour is before start hour (overnight) - if(InpEndHour < InpStartHour) - { - return (current_hour >= InpStartHour || current_hour < InpEndHour); - } - else - { - return (current_hour >= InpStartHour && current_hour < InpEndHour); - } -} - -//+------------------------------------------------------------------+ -//| Open buy position | -//+------------------------------------------------------------------+ -void OpenBuyPosition() -{ - double price = SymbolInfoDouble(_Symbol, SYMBOL_ASK); - double sl = 0.0; - double tp = 0.0; - - if(InpStopLoss > 0) - { - sl = price - InpStopLoss * _Point * 10; - } - if(InpTakeProfit > 0) - { - tp = price + InpTakeProfit * _Point * 10; - } - - // Validate stops - int stop_level = (int)SymbolInfoInteger(_Symbol, SYMBOL_TRADE_STOPS_LEVEL); - double point = SymbolInfoDouble(_Symbol, SYMBOL_POINT); - double min_stop = stop_level * point; - - if(sl > 0 && (price - sl) < min_stop) - sl = price - min_stop; - if(tp > 0 && (tp - price) < min_stop) - tp = price + min_stop; - - if(trade.Buy(InpLotSize, _Symbol, price, sl, tp, "EMA Slope Buy")) - { - Print("Buy order opened at ", price, " SL: ", sl, " TP: ", tp); - } - else - { - Print("Failed to open buy order: ", trade.ResultRetcodeDescription()); - } -} - -//+------------------------------------------------------------------+ -//| Open sell position | -//+------------------------------------------------------------------+ -void OpenSellPosition() -{ - double price = SymbolInfoDouble(_Symbol, SYMBOL_BID); - double sl = 0.0; - double tp = 0.0; - - if(InpStopLoss > 0) - { - sl = price + InpStopLoss * _Point * 10; - } - if(InpTakeProfit > 0) - { - tp = price - InpTakeProfit * _Point * 10; - } - - // Validate stops - int stop_level = (int)SymbolInfoInteger(_Symbol, SYMBOL_TRADE_STOPS_LEVEL); - double point = SymbolInfoDouble(_Symbol, SYMBOL_POINT); - double min_stop = stop_level * point; - - if(sl > 0 && (sl - price) < min_stop) - sl = price + min_stop; - if(tp > 0 && (price - tp) < min_stop) - tp = price - min_stop; - - if(trade.Sell(InpLotSize, _Symbol, price, sl, tp, "EMA Slope Sell")) - { - Print("Sell order opened at ", price, " SL: ", sl, " TP: ", tp); - } - else - { - Print("Failed to open sell order: ", trade.ResultRetcodeDescription()); - } -} - -//+------------------------------------------------------------------+ -//| Manage existing position | -//+------------------------------------------------------------------+ -void ManagePosition() -{ - if(!PositionSelect(_Symbol)) - return; - - // Update daily profit - double current_profit = PositionGetDouble(POSITION_PROFIT); - if(current_profit != last_profit) - { - daily_profit += (current_profit - last_profit); - last_profit = current_profit; - } - - // Apply trailing stop - if(InpUseTrailingStop && InpTrailingStop > 0) - { - ApplyTrailingStop(); - } -} - -//+------------------------------------------------------------------+ -//| Apply trailing stop | -//+------------------------------------------------------------------+ -void ApplyTrailingStop() -{ - if(!PositionSelect(_Symbol)) - return; - - double position_sl = PositionGetDouble(POSITION_SL); - double position_tp = PositionGetDouble(POSITION_TP); - long position_type = PositionGetInteger(POSITION_TYPE); - double current_price = (position_type == POSITION_TYPE_BUY) ? - SymbolInfoDouble(_Symbol, SYMBOL_BID) : - SymbolInfoDouble(_Symbol, SYMBOL_ASK); - - double trailing_distance = InpTrailingStop * _Point * 10; - double new_sl = 0; - - if(position_type == POSITION_TYPE_BUY) - { - new_sl = current_price - trailing_distance; - if(new_sl > position_sl && new_sl < current_price) - { - // Check trailing step - if(position_sl == 0 || (new_sl - position_sl) >= InpTrailingStep * _Point * 10) - { - if(trade.PositionModify(_Symbol, new_sl, position_tp)) - { - Print("Trailing stop updated: New SL=", new_sl); - } - } - } - } - else if(position_type == POSITION_TYPE_SELL) - { - new_sl = current_price + trailing_distance; - if((position_sl == 0 || new_sl < position_sl) && new_sl > current_price) - { - // Check trailing step - if(position_sl == 0 || (position_sl - new_sl) >= InpTrailingStep * _Point * 10) - { - if(trade.PositionModify(_Symbol, new_sl, position_tp)) - { - Print("Trailing stop updated: New SL=", new_sl); - } - } - } - } -} diff --git a/lab/EAs/EMARSIWarm.mq5 b/lab/EAs/EMARSIWarm.mq5 deleted file mode 100644 index a219920..0000000 --- a/lab/EAs/EMARSIWarm.mq5 +++ /dev/null @@ -1,256 +0,0 @@ -#property strict -#property version "1.00" - -#include - -input group "=== Market ===" -input string InpSymbol = "BTCUSD"; -input ENUM_TIMEFRAMES InpTimeframe = PERIOD_M15; -input double InpLots = 0.01; -input int InpSlippagePoints = 30; -input int InpMagic = 930101; -input int InpMaxPositions = 6; -input bool InpDebugLogs = true; - -input group "=== EMA Trend State ===" -input int InpEmaPeriod = 200; -input int InpTrendLookbackBars = 12; -input double InpTrendMinPoints = 120; // total EMA delta over lookback -input double InpFlatMaxPoints = 40; // dead-flat band over lookback - -input group "=== RSI Entries ===" -input int InpRsiPeriod = 14; -input double InpRsiDipLevel = 35.0; // buy dip in uptrend -input double InpRsiSurgeLevel = 65.0; // sell surge in downtrend -input bool InpUseCrossSignal = true; // true=cross, false=state-based - -input group "=== Risk ===" -input bool InpUseHardSLTP = false; -input double InpSLPoints = 2500; -input double InpTPPoints = 4500; - -enum TrendState -{ - TREND_FLAT = 0, - TREND_UP = 1, - TREND_DOWN = -1 -}; - -CTrade trade; -datetime g_lastBarTime = 0; - -void DebugLog(const string msg) -{ - if(InpDebugLogs) - Print("[EMARSIWarm] ", msg); -} - -bool IsNewBar(const string symbol, ENUM_TIMEFRAMES tf) -{ - datetime t = iTime(symbol, tf, 0); - if(t <= 0 || t == g_lastBarTime) - return false; - g_lastBarTime = t; - return true; -} - -double GetIndicatorValue(const int handle, const int bufferIdx, const int shift) -{ - if(handle == INVALID_HANDLE) - return 0.0; - double v[1]; - if(CopyBuffer(handle, bufferIdx, shift, 1, v) <= 0) - return 0.0; - return v[0]; -} - -double GetEma(const string symbol, ENUM_TIMEFRAMES tf, const int period, const int shift) -{ - int h = iMA(symbol, tf, period, 0, MODE_EMA, PRICE_CLOSE); - double val = GetIndicatorValue(h, 0, shift); - if(h != INVALID_HANDLE) - IndicatorRelease(h); - return val; -} - -double GetRsi(const string symbol, ENUM_TIMEFRAMES tf, const int period, const int shift) -{ - int h = iRSI(symbol, tf, period, PRICE_CLOSE); - double val = GetIndicatorValue(h, 0, shift); - if(h != INVALID_HANDLE) - IndicatorRelease(h); - return val; -} - -TrendState GetTrendState() -{ - double emaNow = GetEma(InpSymbol, InpTimeframe, InpEmaPeriod, 1); - double emaPast = GetEma(InpSymbol, InpTimeframe, InpEmaPeriod, 1 + InpTrendLookbackBars); - if(emaNow == 0.0 || emaPast == 0.0) - return TREND_FLAT; - - double deltaPts = (emaNow - emaPast) / _Point; - if(MathAbs(deltaPts) <= InpFlatMaxPoints) - return TREND_FLAT; - if(deltaPts >= InpTrendMinPoints) - return TREND_UP; - if(deltaPts <= -InpTrendMinPoints) - return TREND_DOWN; - return TREND_FLAT; -} - -int CountPositionsByMagic(const string symbol, const int magic) -{ - int count = 0; - for(int i = PositionsTotal() - 1; i >= 0; --i) - { - ulong t = PositionGetTicket(i); - if(t == 0) - continue; - if(PositionGetString(POSITION_SYMBOL) == symbol && - (int)PositionGetInteger(POSITION_MAGIC) == magic) - count++; - } - return count; -} - -string TrendStateToString(const TrendState s) -{ - if(s == TREND_UP) return "UP"; - if(s == TREND_DOWN) return "DOWN"; - return "FLAT"; -} - -void CloseAllByMagic(const string symbol, const int magic) -{ - for(int i = PositionsTotal() - 1; i >= 0; --i) - { - ulong t = PositionGetTicket(i); - if(t == 0) - continue; - if(PositionGetString(POSITION_SYMBOL) == symbol && - (int)PositionGetInteger(POSITION_MAGIC) == magic) - trade.PositionClose(t); - } -} - -void ComputeSLTP(const bool isBuy, const double entry, double &sl, double &tp) -{ - if(!InpUseHardSLTP) - { - sl = 0.0; - tp = 0.0; - return; - } - - if(isBuy) - { - sl = entry - InpSLPoints * _Point; - tp = entry + InpTPPoints * _Point; - } - else - { - sl = entry + InpSLPoints * _Point; - tp = entry - InpTPPoints * _Point; - } -} - -bool BuySignal() -{ - double r1 = GetRsi(InpSymbol, InpTimeframe, InpRsiPeriod, 1); - double r2 = GetRsi(InpSymbol, InpTimeframe, InpRsiPeriod, 2); - if(r1 == 0.0 || r2 == 0.0) - return false; - - if(InpUseCrossSignal) - return (r2 > InpRsiDipLevel && r1 <= InpRsiDipLevel); // fresh dip - return (r1 <= InpRsiDipLevel); -} - -bool SellSignal() -{ - double r1 = GetRsi(InpSymbol, InpTimeframe, InpRsiPeriod, 1); - double r2 = GetRsi(InpSymbol, InpTimeframe, InpRsiPeriod, 2); - if(r1 == 0.0 || r2 == 0.0) - return false; - - if(InpUseCrossSignal) - return (r2 < InpRsiSurgeLevel && r1 >= InpRsiSurgeLevel); // fresh surge - return (r1 >= InpRsiSurgeLevel); -} - -void OnTick() -{ - if(_Symbol != InpSymbol) - { - static datetime lastMismatchLog = 0; - datetime nowBar = iTime(_Symbol, PERIOD_M1, 0); - if(nowBar != lastMismatchLog) - { - lastMismatchLog = nowBar; - DebugLog(StringFormat("Skipped: chart symbol=%s but InpSymbol=%s. Attach EA to %s chart or set InpSymbol=%s.", - _Symbol, InpSymbol, InpSymbol, _Symbol)); - } - return; - } - if(!IsNewBar(InpSymbol, InpTimeframe)) - return; - - TrendState state = GetTrendState(); - double rsi1 = GetRsi(InpSymbol, InpTimeframe, InpRsiPeriod, 1); - double rsi2 = GetRsi(InpSymbol, InpTimeframe, InpRsiPeriod, 2); - int posCount = CountPositionsByMagic(InpSymbol, InpMagic); - DebugLog(StringFormat("Bar=%s state=%s rsi1=%.2f rsi2=%.2f positions=%d", - TimeToString(iTime(InpSymbol, InpTimeframe, 1), TIME_DATE|TIME_MINUTES), - TrendStateToString(state), rsi1, rsi2, posCount)); - - // Core idea: when EMA is "dead flat", flatten everything. - if(state == TREND_FLAT) - { - DebugLog("Action: EMA flat -> closing all positions for this magic."); - CloseAllByMagic(InpSymbol, InpMagic); - return; - } - - if(posCount >= InpMaxPositions) - { - DebugLog(StringFormat("Skipped: max positions reached (%d).", InpMaxPositions)); - return; - } - - MqlTick tick; - if(!SymbolInfoTick(InpSymbol, tick)) - { - DebugLog("Skipped: SymbolInfoTick failed."); - return; - } - - double sl = 0.0, tp = 0.0; - trade.SetExpertMagicNumber(InpMagic); - trade.SetDeviationInPoints(InpSlippagePoints); - - if(state == TREND_UP && BuySignal()) - { - ComputeSLTP(true, tick.ask, sl, tp); - if(trade.Buy(InpLots, InpSymbol, tick.ask, sl, tp, "EMAUp_RSIDip_Buy")) - DebugLog(StringFormat("BUY opened lots=%.2f price=%.2f sl=%.2f tp=%.2f", InpLots, tick.ask, sl, tp)); - else - DebugLog(StringFormat("BUY failed retcode=%d", trade.ResultRetcode())); - } - else if(state == TREND_DOWN && SellSignal()) - { - ComputeSLTP(false, tick.bid, sl, tp); - if(trade.Sell(InpLots, InpSymbol, tick.bid, sl, tp, "EMADown_RSISurge_Sell")) - DebugLog(StringFormat("SELL opened lots=%.2f price=%.2f sl=%.2f tp=%.2f", InpLots, tick.bid, sl, tp)); - else - DebugLog(StringFormat("SELL failed retcode=%d", trade.ResultRetcode())); - } - else - { - if(state == TREND_UP) - DebugLog("No entry: UP trend but RSI dip condition not met."); - else if(state == TREND_DOWN) - DebugLog("No entry: DOWN trend but RSI surge condition not met."); - } -} - diff --git a/lab/EAs/EMASlopeDistanceCocktailBTCUSD/BTCUSD_fixed.set b/lab/EAs/EMASlopeDistanceCocktailBTCUSD/BTCUSD_fixed.set deleted file mode 100644 index a6faa9d..0000000 --- a/lab/EAs/EMASlopeDistanceCocktailBTCUSD/BTCUSD_fixed.set +++ /dev/null @@ -1,21 +0,0 @@ -; EMASlopeDistanceCocktailBTCUSD\main.mq5 — fixed inputs (same as desktop ultimate.set) -; Attach EA to BTCUSD chart. Timeframe 16385 = H1. -; -EMA_Periode=50||50||1||500||N -PreisSchwelle=700.0||700.0||70.000000||7000.000000||N -SteigungSchwelle=25.0||25.0||2.500000||250.000000||N -ÜberwachungTimeout=340||340||1||3400||N -TrailingStop=370.0||370.0||37.000000||3700.000000||N -LotGröße=0.07||0.07||0.007000||0.700000||N -MagicNumber=135790||135790||1||1357900||N -UseSpreadAdjustment=true||false||0||true||N -Timeframe=16385||0||0||49153||N -UseBarData=true||false||0||true||N -MaxTradesPerCrossover=10||10||1||100||N -ProfitCheckBars=15||15||1||150||N -CloseUnprofitableTrades=true||false||0||true||N -UseWeeklyADXFilter=true||false||0||true||N -WeeklyADXPeriod=15||15||1||150||N -WeeklyADXMin=40.0||40.0||4.000000||400.000000||N -WeeklyADXBarShift=2||2||1||20||N -WeeklyADXUseDirection=true||false||0||true||N diff --git a/lab/EAs/EMASlopeDistanceCocktailBTCUSD/BTCUSD_test.set b/lab/EAs/EMASlopeDistanceCocktailBTCUSD/BTCUSD_test.set deleted file mode 100644 index 9e749a8..0000000 --- a/lab/EAs/EMASlopeDistanceCocktailBTCUSD/BTCUSD_test.set +++ /dev/null @@ -1,24 +0,0 @@ -; EMASlopeDistanceCocktailBTCUSD\main.mq5 — BTCUSD Strategy Tester preset -; Load: Tester → Inputs → context menu → Load. Attach EA to BTCUSD chart (EA uses _Symbol). -; -; value||start||step||stop||Y|N (MT5 convention). Timeframe 16385 = H1. -; Tune PreisSchwelle / TrailingStop / SteigungSchwelle to your broker's _Point for BTC. -; -EMA_Periode=50||30||5||200||Y -PreisSchwelle=700.0||200.0||50.0||5000.0||Y -SteigungSchwelle=25.0||5.0||1.0||80.0||Y -ÜberwachungTimeout=340||60||20||900||Y -TrailingStop=370.0||150.0||20.0||5000.0||Y -LotGröße=0.07||0.01||0.01||0.50||N -MagicNumber=135790||135790||1||1357900||N -UseSpreadAdjustment=true||false||0||true||Y -Timeframe=16385||0||0||49153||N -UseBarData=true||false||0||true||N -MaxTradesPerCrossover=10||1||1||25||Y -ProfitCheckBars=15||5||1||60||Y -CloseUnprofitableTrades=true||false||0||true||Y -UseWeeklyADXFilter=true||false||0||true||Y -WeeklyADXPeriod=15||7||1||28||Y -WeeklyADXMin=40.0||15.0||2.0||55.0||Y -WeeklyADXBarShift=2||1||1||5||Y -WeeklyADXUseDirection=true||false||0||true||Y diff --git a/lab/EAs/EMASlopeDistanceCocktailBTCUSD/report.html b/lab/EAs/EMASlopeDistanceCocktailBTCUSD/report.html deleted file mode 100644 index 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-//+------------------------------------------------------------------+ -#property copyright "Lab" -#property version "1.01" -#property strict - -#include - -input group "=== Market ===" -input string InpSymbol = "BTCUSD"; -input ENUM_TIMEFRAMES InpTf = PERIOD_M15; -input ulong InpMagic = 202604241; -input int InpSlippagePts = 50; - -input group "=== Martingale (classic) ===" -input double InpBaseLots = 0.01; -input double InpLotMultiplier = 2.0; // traditional = 2.0 -input int InpMaxDoublings = 16; // cap exponent (0..MaxDoublings); then lot stops growing - -input group "=== Entry (RSI) ===" -input int InpRsiPeriod = 14; -input double InpRsiBuyBelow = 32.0; -input double InpRsiSellAbove = 68.0; - -input group "=== SL / TP (optional) ===" -input bool InpUseSLTP = false; -input double InpSLPts = 4000.0; -input double InpTPPts = 3500.0; - -CTrade g_trade; -int g_hRsi = INVALID_HANDLE; -int g_lossStreak = 0; -ulong g_lastPosId = 0; - -string WorkSym() { return InpSymbol; } -double SymPoint() { return SymbolInfoDouble(WorkSym(), SYMBOL_POINT); } - -void SetFilling() -{ - const long fill = SymbolInfoInteger(WorkSym(), SYMBOL_FILLING_MODE); - if((fill & SYMBOL_FILLING_FOK) == SYMBOL_FILLING_FOK) - g_trade.SetTypeFilling(ORDER_FILLING_FOK); - else if((fill & SYMBOL_FILLING_IOC) == SYMBOL_FILLING_IOC) - g_trade.SetTypeFilling(ORDER_FILLING_IOC); -} - -double NetProfitForPositionId(const ulong posId) -{ - if(posId == 0) - return 0.0; - const datetime to = TimeCurrent(); - if(!HistorySelect(0, to)) - return 0.0; - double sum = 0.0; - const int n = HistoryDealsTotal(); - for(int i = 0; i < n; i++) - { - const ulong deal = HistoryDealGetTicket(i); - if(deal == 0) - continue; - if((ulong)HistoryDealGetInteger(deal, DEAL_POSITION_ID) != posId) - continue; - sum += HistoryDealGetDouble(deal, DEAL_PROFIT); - sum += HistoryDealGetDouble(deal, DEAL_SWAP); - sum += HistoryDealGetDouble(deal, DEAL_COMMISSION); - } - return sum; -} - -int OurPositionCount() -{ - int c = 0; - for(int i = PositionsTotal() - 1; i >= 0; i--) - { - const ulong t = PositionGetTicket(i); - if(t == 0 || !PositionSelectByTicket(t)) - continue; - if(PositionGetString(POSITION_SYMBOL) != WorkSym()) - continue; - if((ulong)PositionGetInteger(POSITION_MAGIC) == InpMagic) - c++; - } - return c; -} - -double LotsNow() -{ - const int exp = MathMax(0, MathMin(g_lossStreak, InpMaxDoublings)); - double lot = InpBaseLots * MathPow(InpLotMultiplier, (double)exp); - const double minLot = SymbolInfoDouble(WorkSym(), SYMBOL_VOLUME_MIN); - const double maxLot = SymbolInfoDouble(WorkSym(), SYMBOL_VOLUME_MAX); - const double stepLot = SymbolInfoDouble(WorkSym(), SYMBOL_VOLUME_STEP); - if(stepLot > 0.0) - lot = MathFloor(lot / stepLot) * stepLot; - if(lot < minLot) - lot = minLot; - if(lot > maxLot) - lot = maxLot; - return NormalizeDouble(lot, 8); -} - -bool CopyRsi1(double &rsi1) -{ - double buf[1]; - if(CopyBuffer(g_hRsi, 0, 1, 1, buf) != 1) - return false; - rsi1 = buf[0]; - return true; -} - -void BuildSLTP(const bool isBuy, const double price, double &sl, double &tp) -{ - sl = tp = 0.0; - if(!InpUseSLTP) - return; - const double pt = SymPoint(); - if(pt <= 0.0) - return; - if(isBuy) - { - sl = price - InpSLPts * pt; - tp = price + InpTPPts * pt; - } - else - { - sl = price + InpSLPts * pt; - tp = price - InpTPPts * pt; - } -} - -void OnClosedPosition() -{ - const double net = NetProfitForPositionId(g_lastPosId); - if(net < 0.0) - g_lossStreak++; - else - g_lossStreak = 0; - Print("Martingale: closed net=", net, " lossStreak=", g_lossStreak, " next lot=", LotsNow()); - g_lastPosId = 0; -} - -bool OurPositionOpenById(const ulong posId) -{ - if(posId == 0) - return false; - for(int i = PositionsTotal() - 1; i >= 0; i--) - { - const ulong t = PositionGetTicket(i); - if(t == 0 || !PositionSelectByTicket(t)) - continue; - if(PositionGetString(POSITION_SYMBOL) != WorkSym()) - continue; - if((ulong)PositionGetInteger(POSITION_MAGIC) != InpMagic) - continue; - if((ulong)PositionGetInteger(POSITION_IDENTIFIER) == posId) - return true; - } - return false; -} - -void CaptureLastPositionId() -{ - Sleep(20); - for(int k = 0; k < PositionsTotal(); k++) - { - const ulong t = PositionGetTicket(k); - if(t == 0 || !PositionSelectByTicket(t)) - continue; - if(PositionGetString(POSITION_SYMBOL) != WorkSym()) - continue; - if((ulong)PositionGetInteger(POSITION_MAGIC) != InpMagic) - continue; - g_lastPosId = (ulong)PositionGetInteger(POSITION_IDENTIFIER); - return; - } -} - -int OnInit() -{ - if(InpBaseLots <= 0.0 || InpLotMultiplier < 1.0 || InpMaxDoublings < 0) - return INIT_PARAMETERS_INCORRECT; - if(!SymbolSelect(WorkSym(), true)) - Print("Martingale: SymbolSelect note ", WorkSym()); - g_hRsi = iRSI(WorkSym(), InpTf, InpRsiPeriod, PRICE_CLOSE); - if(g_hRsi == INVALID_HANDLE) - return INIT_FAILED; - g_trade.SetExpertMagicNumber(InpMagic); - g_trade.SetDeviationInPoints(InpSlippagePts); - SetFilling(); - return INIT_SUCCEEDED; -} - -void OnDeinit(const int reason) -{ - if(g_hRsi != INVALID_HANDLE) - IndicatorRelease(g_hRsi); -} - -void OnTick() -{ - if(_Symbol != WorkSym()) - return; - - if(g_lastPosId != 0 && !OurPositionOpenById(g_lastPosId)) - OnClosedPosition(); - - static datetime lastBar = 0; - const datetime tb = iTime(WorkSym(), InpTf, 0); - if(tb == 0 || tb == lastBar) - return; - lastBar = tb; - - if(OurPositionCount() > 0) - return; - - double rsi1 = 0.0; - if(!CopyRsi1(rsi1)) - return; - - const double lot = LotsNow(); - if(lot <= 0.0) - return; - - MqlTick tick; - if(!SymbolInfoTick(WorkSym(), tick)) - return; - - double sl = 0.0, tp = 0.0; - const bool wantBuy = (rsi1 <= InpRsiBuyBelow); - const bool wantSell = (rsi1 >= InpRsiSellAbove); - - if(wantBuy && !wantSell) - { - BuildSLTP(true, tick.ask, sl, tp); - if(g_trade.Buy(lot, WorkSym(), tick.ask, sl, tp, "Martingale buy")) - CaptureLastPositionId(); - } - else if(wantSell && !wantBuy) - { - BuildSLTP(false, tick.bid, sl, tp); - if(g_trade.Sell(lot, WorkSym(), tick.bid, sl, tp, "Martingale sell")) - CaptureLastPositionId(); - } -} diff --git a/lab/EAs/RSIConsolidationBTCUSD/RSIConsolidation.mq5 b/lab/EAs/RSIConsolidationBTCUSD/RSIConsolidation.mq5 deleted file mode 100644 index a859e7c..0000000 --- a/lab/EAs/RSIConsolidationBTCUSD/RSIConsolidation.mq5 +++ /dev/null @@ -1,367 +0,0 @@ -//+------------------------------------------------------------------+ -//| RSIConsolidation.mq5 | -//| Mean-reversion RSI for ranging markets; trend filters block runs | -//+------------------------------------------------------------------+ -#property copyright "Copyright 2025" -#property link "https://www.mql5.com" -#property version "1.01" - -#include - -//--- Symbol (empty = chart symbol) -input group "=== Symbol & session ===" -input string InpSymbol = ""; - -input group "=== Timeframe & bar logic ===" -input ENUM_TIMEFRAMES SignalTF = PERIOD_M15; -input bool EntryOnNewBarOnly = true; - -//--- Core: no trend / consolidation regime -input group "=== Regime: consolidation (anti-trend) ===" -input int ADX_Period = 23; -input double ADX_Max = 38.0; // allow more bars (was 29 — very few on BTC) -input bool UseATRRatioFilter = true; -input int ATR_Period = 8; -input int ATR_SMA_Period = 35; -input double ATR_Ratio_Max = 1.55; // slightly looser vs 1.36 -input bool UseFlatEMAFilter = true; -input int EMA_Fast = 13; -input int EMA_Slow = 17; -input double EMA_Separation_MaxPct = 0.42; // %; was 0.26 — very strict on crypto - -//--- RSI entries (fade extremes toward mean) -input group "=== RSI entries ===" -input int RSI_Period = 8; -input ENUM_APPLIED_PRICE RSI_Price = PRICE_CLOSE; // OPEN made crosses rarer; CLOSE is standard -input double RSI_Oversold = 28.0; -input double RSI_Overbought = 68.0; -input bool UseStrictRsiCross = false; // true = exact cross; false = looser bounce (more trades) -input double RsiCrossSlack = 4.0; // only if !UseStrictRsiCross: widen cross band - -//--- Exits: mean target + hard ATR bracket -input group "=== Exits ===" -input bool UseRSI_MeanExit = true; -input double RSI_Exit_Long = 48.0; -input double RSI_Exit_Short = 52.0; -input double SL_ATR_Mult = 2.15; -input double TP_ATR_Mult = 2.40; -input int MaxBarsInTrade = 54; - -input group "=== Risk & execution ===" -input double Lots = 0.10; -input ulong MagicNumber = 20250420; -input int Slippage = 10; -input int MaxSpreadPoints = 0; // 0 = off (BTC tester/live often blocked at 28) - -CTrade trade; -string g_sym; - -int h_rsi = INVALID_HANDLE; -int h_adx = INVALID_HANDLE; -int h_atr = INVALID_HANDLE; -int h_ema_fast = INVALID_HANDLE; -int h_ema_slow = INVALID_HANDLE; - -datetime g_last_bar = 0; - -bool PositionExistsByMagicSym(string sym, ulong magic) -{ - for(int i = PositionsTotal() - 1; i >= 0; i--) - { - ulong t = PositionGetTicket(i); - if(t == 0) continue; - if(PositionGetString(POSITION_SYMBOL) == sym && PositionGetInteger(POSITION_MAGIC) == (long)magic) - return true; - } - return false; -} - -ulong GetPositionTicketByMagicSym(string sym, ulong magic) -{ - for(int i = PositionsTotal() - 1; i >= 0; i--) - { - ulong t = PositionGetTicket(i); - if(t == 0) continue; - if(PositionGetString(POSITION_SYMBOL) == sym && PositionGetInteger(POSITION_MAGIC) == (long)magic) - return t; - } - return 0; -} - -bool SelectPositionTicketSymMagic(ulong ticket, string sym, ulong magic) -{ - if(!PositionSelectByTicket(ticket)) return false; - return PositionGetString(POSITION_SYMBOL) == sym && PositionGetInteger(POSITION_MAGIC) == (long)magic; -} - -double NormalizeVolume(string sym, double vol) -{ - double minLot = SymbolInfoDouble(sym, SYMBOL_VOLUME_MIN); - double maxLot = SymbolInfoDouble(sym, SYMBOL_VOLUME_MAX); - double step = SymbolInfoDouble(sym, SYMBOL_VOLUME_STEP); - if(step > 0.0) - vol = MathFloor(vol / step) * step; - if(vol < minLot) vol = minLot; - if(vol > maxLot) vol = maxLot; - return vol; -} - -int CurrentSpreadPoints(string sym) -{ - long spread = 0; - if(!SymbolInfoInteger(sym, SYMBOL_SPREAD, spread)) - return 999999; - return (int)spread; -} - -double MinStopsDistancePrice(string sym) -{ - long lvl = 0; - if(!SymbolInfoInteger(sym, SYMBOL_TRADE_STOPS_LEVEL, lvl)) - return 0; - double pt = SymbolInfoDouble(sym, SYMBOL_POINT); - if(pt <= 0) - return 0; - return (double)lvl * pt; -} - -bool Copy1(int handle, double &v) -{ - double b[]; - ArraySetAsSeries(b, true); - if(CopyBuffer(handle, 0, 0, 1, b) < 1) return false; - v = b[0]; - return true; -} - -bool CopyAtShift(int handle, const int shift, double &v) -{ - double b[]; - ArraySetAsSeries(b, true); - if(CopyBuffer(handle, 0, shift, 1, b) < 1) return false; - v = b[0]; - return true; -} - -bool RSI_Buffers(double &cur, double &prev, double &twoAgo) -{ - double b[]; - ArraySetAsSeries(b, true); - if(CopyBuffer(h_rsi, 0, 0, 3, b) < 3) return false; - cur = b[0]; - prev = b[1]; - twoAgo = b[2]; - return true; -} - -bool Regime_IsConsolidation() -{ - const int sh = 1; - double adx = 0; - if(!CopyAtShift(h_adx, sh, adx)) - return false; - if(adx >= ADX_Max) - return false; - - if(UseATRRatioFilter) - { - double atrArr[]; - ArraySetAsSeries(atrArr, true); - if(CopyBuffer(h_atr, 0, sh, ATR_SMA_Period + 1, atrArr) < ATR_SMA_Period + 1) - return false; - double sum = 0; - for(int i = 1; i <= ATR_SMA_Period; i++) - sum += atrArr[i]; - double smaAtr = sum / (double)ATR_SMA_Period; - if(smaAtr <= 0.0) - return false; - double ratio = atrArr[0] / smaAtr; - if(ratio > ATR_Ratio_Max) - return false; - } - - if(UseFlatEMAFilter) - { - double ef[], es[]; - ArraySetAsSeries(ef, true); - ArraySetAsSeries(es, true); - if(CopyBuffer(h_ema_fast, 0, sh, 1, ef) < 1) return false; - if(CopyBuffer(h_ema_slow, 0, sh, 1, es) < 1) return false; - double c = SymbolInfoDouble(g_sym, SYMBOL_BID); - if(c <= 0) return false; - double sep = MathAbs(ef[0] - es[0]) / c * 100.0; - if(sep > EMA_Separation_MaxPct) - return false; - } - - return true; -} - -bool Entry_BuyCross(double twoAgo, double prev) -{ - if(UseStrictRsiCross) - return (twoAgo <= RSI_Oversold && prev > RSI_Oversold); - const double lo = RSI_Oversold - RsiCrossSlack; - const double hi = RSI_Oversold + RsiCrossSlack; - return (twoAgo <= hi && prev > lo && prev > twoAgo); -} - -bool Entry_SellCross(double twoAgo, double prev) -{ - if(UseStrictRsiCross) - return (twoAgo >= RSI_Overbought && prev < RSI_Overbought); - const double lo = RSI_Overbought - RsiCrossSlack; - const double hi = RSI_Overbought + RsiCrossSlack; - return (twoAgo >= lo && prev < hi && prev < twoAgo); -} - -void TryCloseByRSI(ENUM_POSITION_TYPE typ, double rsi) -{ - ulong tk = GetPositionTicketByMagicSym(g_sym, MagicNumber); - if(tk == 0 || !SelectPositionTicketSymMagic(tk, g_sym, MagicNumber)) - return; - if(!UseRSI_MeanExit) - return; - if(typ == POSITION_TYPE_BUY && rsi >= RSI_Exit_Long) - trade.PositionClose(tk); - else if(typ == POSITION_TYPE_SELL && rsi <= RSI_Exit_Short) - trade.PositionClose(tk); -} - -void ManageOpenPosition(double rsi) -{ - ulong tk = GetPositionTicketByMagicSym(g_sym, MagicNumber); - if(tk == 0 || !SelectPositionTicketSymMagic(tk, g_sym, MagicNumber)) - return; - ENUM_POSITION_TYPE typ = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); - datetime openT = (datetime)PositionGetInteger(POSITION_TIME); - int barsAgo = iBarShift(g_sym, SignalTF, openT, false); - if(barsAgo >= 0 && barsAgo >= MaxBarsInTrade) - { - trade.PositionClose(tk); - return; - } - TryCloseByRSI(typ, rsi); -} - -int OnInit() -{ - g_sym = InpSymbol; - StringTrimLeft(g_sym); - StringTrimRight(g_sym); - if(StringLen(g_sym) == 0) - g_sym = _Symbol; - - if(!SymbolSelect(g_sym, true)) - { - Print("RSIConsolidation: SymbolSelect failed: ", g_sym); - return INIT_FAILED; - } - - trade.SetExpertMagicNumber(MagicNumber); - trade.SetDeviationInPoints(Slippage); - trade.SetTypeFilling(ORDER_FILLING_RETURN); - - h_rsi = iRSI(g_sym, SignalTF, RSI_Period, RSI_Price); - h_adx = iADX(g_sym, SignalTF, ADX_Period); - h_atr = iATR(g_sym, SignalTF, ATR_Period); - h_ema_fast = iMA(g_sym, SignalTF, EMA_Fast, 0, MODE_EMA, PRICE_CLOSE); - h_ema_slow = iMA(g_sym, SignalTF, EMA_Slow, 0, MODE_EMA, PRICE_CLOSE); - - if(h_rsi == INVALID_HANDLE || h_adx == INVALID_HANDLE || h_atr == INVALID_HANDLE - || h_ema_fast == INVALID_HANDLE || h_ema_slow == INVALID_HANDLE) - { - Print("RSIConsolidation: indicator init failed"); - return INIT_FAILED; - } - - Print("RSIConsolidation: symbol=", g_sym, " TF=", EnumToString(SignalTF)); - return INIT_SUCCEEDED; -} - -void OnDeinit(const int reason) -{ - if(h_rsi != INVALID_HANDLE) IndicatorRelease(h_rsi); - if(h_adx != INVALID_HANDLE) IndicatorRelease(h_adx); - if(h_atr != INVALID_HANDLE) IndicatorRelease(h_atr); - if(h_ema_fast != INVALID_HANDLE) IndicatorRelease(h_ema_fast); - if(h_ema_slow != INVALID_HANDLE) IndicatorRelease(h_ema_slow); -} - -bool EnoughHistory() -{ - int need = MathMax(RSI_Period + 3, MathMax(ADX_Period + 2, ATR_SMA_Period + 3)); - if(Bars(g_sym, SignalTF) < need) - return false; - return true; -} - -void OnTick() -{ - if(!EnoughHistory()) - return; - - if(MaxSpreadPoints > 0 && CurrentSpreadPoints(g_sym) > MaxSpreadPoints) - return; - - double rsi, rsiPrev, rsi2; - if(!RSI_Buffers(rsi, rsiPrev, rsi2)) - return; - - datetime barTime = iTime(g_sym, SignalTF, 0); - bool isNew = (barTime != g_last_bar); - - if(PositionExistsByMagicSym(g_sym, MagicNumber)) - { - ManageOpenPosition(rsi); - if(isNew) - g_last_bar = barTime; - return; - } - - if(EntryOnNewBarOnly && !isNew) - return; - - g_last_bar = barTime; - - if(!Regime_IsConsolidation()) - return; - - double atrArr[]; - ArraySetAsSeries(atrArr, true); - if(CopyBuffer(h_atr, 0, 0, 1, atrArr) < 1) - return; - double atr = atrArr[0]; - int dig = (int)SymbolInfoInteger(g_sym, SYMBOL_DIGITS); - - double slDist = atr * SL_ATR_Mult; - double tpDist = atr * TP_ATR_Mult; - double minD = MinStopsDistancePrice(g_sym); - if(slDist < minD) - slDist = minD; - if(tpDist < minD) - tpDist = minD; - - double vol = NormalizeVolume(g_sym, Lots); - - if(Entry_BuyCross(rsi2, rsiPrev)) - { - double ask = SymbolInfoDouble(g_sym, SYMBOL_ASK); - double sl = ask - slDist; - double tp = ask + tpDist; - sl = NormalizeDouble(sl, dig); - tp = NormalizeDouble(tp, dig); - trade.Buy(vol, g_sym, ask, sl, tp, "RSIConsolidation BUY"); - } - else if(Entry_SellCross(rsi2, rsiPrev)) - { - double bid = SymbolInfoDouble(g_sym, SYMBOL_BID); - double sl = bid + slDist; - double tp = bid - tpDist; - sl = NormalizeDouble(sl, dig); - tp = NormalizeDouble(tp, dig); - trade.Sell(vol, g_sym, bid, sl, tp, "RSIConsolidation SELL"); - } -} - -//+------------------------------------------------------------------+ diff --git a/lab/EAs/RSIConsolidationBTCUSD/RSIConsolidation_optimization.set b/lab/EAs/RSIConsolidationBTCUSD/RSIConsolidation_optimization.set deleted file mode 100644 index 23d8c3f..0000000 --- a/lab/EAs/RSIConsolidationBTCUSD/RSIConsolidation_optimization.set +++ /dev/null @@ -1,38 +0,0 @@ -; RSIConsolidation.mq5 v1.01 — BTCUSD preset (matches relaxed defaults) -; Strategy Tester → Inputs → Load -; -; === Symbol & session === -InpSymbol=BTCUSD -; === Timeframe & bar logic === -SignalTF=15||15||0||15||N -EntryOnNewBarOnly=true||false||0||true||N -; === Regime: consolidation (anti-trend) === -ADX_Period=23||10||1||40||Y -ADX_Max=38.0||22.0||1.0||50.0||Y -UseATRRatioFilter=true||false||0||true||N -ATR_Period=8||5||1||21||Y -ATR_SMA_Period=35||14||2||80||Y -ATR_Ratio_Max=1.55||1.0||0.02||2.0||Y -UseFlatEMAFilter=true||false||0||true||N -EMA_Fast=13||5||1||21||Y -EMA_Slow=17||10||1||34||Y -EMA_Separation_MaxPct=0.42||0.10||0.02||0.70||Y -; === RSI entries === -RSI_Period=8||5||1||21||Y -RSI_Price=0||0||0||7||Y -RSI_Oversold=28.0||18.0||1.0||42.0||Y -RSI_Overbought=68.0||55.0||1.0||82.0||Y -UseStrictRsiCross=false||false||0||true||Y -RsiCrossSlack=4.0||0.0||0.5||12.0||Y -; === Exits === -UseRSI_MeanExit=true||false||0||true||N -RSI_Exit_Long=48.0||40.0||1.0||55.0||Y -RSI_Exit_Short=52.0||45.0||1.0||60.0||Y 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b/lab/EAs/RSIMidPointHijackBTCUSD/RSIMidPointHijackBTCUSD_optimize.set deleted file mode 100644 index 9cdfe0e..0000000 --- a/lab/EAs/RSIMidPointHijackBTCUSD/RSIMidPointHijackBTCUSD_optimize.set +++ /dev/null @@ -1,45 +0,0 @@ -; RSIFollowReverseEMACross (RSIMidPointHijackBTCUSD\main.mq5) — optimization preset -; Strategy Tester → Inputs → Load -; Format: Name=value||start||step||stop||Y|N -; -; Timeframe: leave N (ENUM not a linear range). Set manually or duplicate preset per TF. -; General Settings -InpTimeframe=16385||16385||0||16385||N -InpLotSize=0.02||0.02||0.001000||0.100000||N -InpMagicNumberRSIFollow=1001||1001||1||10010||N -InpMagicNumberRSIReverse=1002||1002||1||10020||N -InpMagicNumberEMACross=1003||1003||1||10030||N -; Strategy Switches -InpEnableRSIFollow=true||false||0||true||Y -InpEnableRSIReverse=true||false||0||true||Y -InpEnableEMACross=true||false||0||true||Y -InpEnableStrategyLock=false||false||0||true||Y -InpLockProfitThreshold=0.0||0.0||5.0||200.0||Y -InpCloseOppositeTrades=false||false||0||true||Y -; RSI Follow Strategy -InpRSIPeriod=32||14||2||48||Y -InpRSIOverbought=78||65||2||88||Y -InpRSIOversold=46||20||2||50||Y -InpRSIExitLevel=44||35||1||55||Y -InpRSIFollowStartHour=23||20||1||23||Y -InpRSIFollowEndHour=8||4||1||12||Y -InpRSIFollowCloseOutsideHours=false||false||0||true||Y -; RSI Reverse Strategy -InpRSIReversePeriod=59||28||3||80||Y -InpRSIReverseOverbought=51||48||1||78||Y -InpRSIReverseOversold=49||20||2||55||Y -InpRSIReverseCrossLevel=53||45||1||60||Y -InpRSIReverseExitLevel=48||35||1||55||Y -InpRSIReverseStartHour=7||0||1||12||Y -InpRSIReverseEndHour=13||10||1||18||Y -InpRSIReverseCloseOutsideHours=false||false||0||true||Y -InpRSIReverseCooldownBars=15||0||3||30||Y -InpRSIReverseCooldownOnLoss=true||false||0||true||Y -; EMA Cross Strategy -InpEMAPeriod=120||60||10||200||Y -InpEMACrossStartHour=8||0||1||12||Y -InpEMACrossEndHour=14||12||1||20||Y -InpEMACrossCloseOutsideHours=true||false||0||true||Y -InpUseEMADistanceEntry=true||false||0||true||Y -InpEMADistancePips=160.0||40.0||20.0||400.0||Y -InpEMADistancePeriod=26||10||2||40||Y diff --git a/lab/EAs/RSIMidPointHijackBTCUSD/report.html b/lab/EAs/RSIMidPointHijackBTCUSD/report.html deleted file mode 100644 index a731713c85028a333a92aff102220079456ff170..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 5214578 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zd%rYRo4g)kHyRdURk_*ahLWXA^jFOxDc2e+4r%q*gtz*1rza;X(1EQB2JqIQC)UQHiX9&tf`7LD zK9ML09k|iZcyG?6TB{1^!9~)YVCTof654f`n*I7q_L#81>st>#Qnw;HuxVpv9lVLD zH3^Aws@ss)Lm!i|DwZ1%&uK*L9e&v?JV`rXX=vV{0&FS>8yO!+QH+Sp?HJMfy$~c& zsjIo0k|h&C{@OHFlVNmjDLujUf6c3hz!ucb6t8nWaz^mh8oA))Sz|*CH>|r}E#@ya z$uXB&s7tY@7chb(wC{418h~$jz{$xTJ>~(&(Ues^Py}?lnqh$99$>)_tC6Ux^L&_< zl(TU3!0uAk-N|}FIcKQe4z`^V@7XCB4)g~3NQp23I0Q#FV=K z2a>&G=JdLH50`3pGerE+#%5e79i%0tb$-nhVRPt|tT%hEV@fo4zGys@foW#0a*co? zkp}bRkW4&8{J4+w__k@kpUSi#z{eLL>w+sx9bU_vh{XCS%GJzh zipG)MEhmHIkq+!OQQ;|G6@27QgK?`t)DJbMRpEo1Eqd`%ck_m;CG5#eiMH&7S@dcV zmIPUVq4|Qfcu2l2Nk@vK>~??W!ypM*p{BVq9n+)v*m;oa5k=d349@O-q?HsY%C!?A zXE&U`3M2&b{0?0kay*I$HVOSXm}AAb5s3M=@PeL;mTr^GEYqQWWw1=k#4M__ig4cV zr{lHBa(14FbrjAiO_kr1IULDI&?ZdC-tK5UTQTFc&6lj}*me_qS@_#h|3D0R{Lk>;WT@;=PF+X3T!Z2(8rcuO_; zJeL-%3AYYUbEeW7IMj6u+qjcM;@JBFB@3(0&-f~ ziuC;Z+ohMUEq$`}@$wgK7tX!x_>c8p=Duh + +//+------------------------------------------------------------------+ +bool PositionSelectByMagic(string symbol, ulong magic_number) +{ + if(!PositionSelect(symbol)) + return false; + + if(PositionGetInteger(POSITION_MAGIC) != magic_number) + { + for(int i = PositionsTotal() - 1; i >= 0; i--) + { + if(PositionGetTicket(i) > 0) + { + if(PositionGetString(POSITION_SYMBOL) == symbol && + PositionGetInteger(POSITION_MAGIC) == magic_number) + { + return true; + } + } + } + return false; + } + + return true; +} + +//+------------------------------------------------------------------+ +bool PositionSelectByTicketSymbolAndMagic(ulong ticket, string symbol, ulong magic_number) +{ + if(!PositionSelectByTicket(ticket)) + return false; + + return (PositionGetString(POSITION_SYMBOL) == symbol && + PositionGetInteger(POSITION_MAGIC) == magic_number); +} + +//+------------------------------------------------------------------+ +bool PositionExistsByMagic(string symbol, ulong magic_number) +{ + return PositionSelectByMagic(symbol, magic_number); +} + +//+------------------------------------------------------------------+ +bool ClosePositionByMagic(CTrade &trade_obj, string symbol, ulong magic_number) +{ + for(int i = PositionsTotal() - 1; i >= 0; i--) + { + ulong ticket = PositionGetTicket(i); + if(ticket > 0) + { + if(PositionGetString(POSITION_SYMBOL) == symbol && + PositionGetInteger(POSITION_MAGIC) == magic_number) + { + return trade_obj.PositionClose(ticket); + } + } + } + return false; +} diff --git a/lab/EAs/RSIScalpingAdaptive/NVDA_Genetic_Optimization.set b/lab/EAs/RSIScalpingAdaptive/NVDA_Genetic_Optimization.set new file mode 100644 index 0000000..81b89e6 --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/NVDA_Genetic_Optimization.set @@ -0,0 +1,28 @@ +; saved on 2026.02.07 +; Genetic Algorithm Optimization Parameters for RSIScalpingNVDA +; Recommended ranges for profitable parameter discovery +; +; Format: Parameter=Start||Step||Min||Max||Optimize(Y/N) +; +; NOTE: Current values show RSI_Overbought=19 and RSI_Oversold=50 which are unusual. +; This config uses STANDARD RSI ranges (60-85 overbought, 15-40 oversold). +; If your current values are intentional, use the alternative ranges in OPTIMIZATION_GUIDE.md +; +; === PHASE 1: CORE RSI PARAMETERS (Primary Optimization) === +RSI_Period=14||1||7||21||Y +RSI_Overbought=70.0||2.0||60.0||85.0||Y +RSI_Oversold=30.0||2.0||15.0||40.0||Y +RSI_Target_Buy=75.0||2.0||65.0||90.0||Y +RSI_Target_Sell=25.0||2.0||10.0||35.0||Y + +; === PHASE 2: RISK MANAGEMENT (Secondary Optimization) === +BarsToWait=2||1||1||8||Y +TimeFrame=16387||0||16385||16390||Y + +; === PHASE 3: POSITION SIZING (Optimize with caution) === +LotSize=50.0||5.0||10.0||100.0||Y + +; === FIXED PARAMETERS (Do Not Optimize) === +RSI_Applied_Price=1||0||1||1||N +MagicNumber=12345||0||12345||12345||N +Slippage=3||0||3||3||N diff --git a/lab/EAs/RSIScalpingAdaptive/NVDA_Genetic_Optimization_Alternative.set b/lab/EAs/RSIScalpingAdaptive/NVDA_Genetic_Optimization_Alternative.set new file mode 100644 index 0000000..3fca2be --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/NVDA_Genetic_Optimization_Alternative.set @@ -0,0 +1,24 @@ +; saved on 2026.02.07 +; Alternative Genetic Algorithm Optimization - Respects Current Unusual RSI Values +; Use this if RSI_Overbought=19 and RSI_Oversold=50 are intentional +; +; Format: Parameter=Start||Step||Min||Max||Optimize(Y/N) +; +; === PHASE 1: CORE RSI PARAMETERS === +RSI_Period=14||1||7||21||Y +RSI_Overbought=19.0||1.0||15.0||30.0||Y +RSI_Oversold=50.0||2.0||40.0||60.0||Y +RSI_Target_Buy=71.0||2.0||65.0||80.0||Y +RSI_Target_Sell=70.0||2.0||60.0||75.0||Y + +; === PHASE 2: RISK MANAGEMENT === +BarsToWait=1||1||1||8||Y +TimeFrame=16387||0||16385||16390||Y + +; === PHASE 3: POSITION SIZING === +LotSize=50.0||5.0||10.0||100.0||Y + +; === FIXED PARAMETERS === +RSI_Applied_Price=1||0||1||1||N +MagicNumber=12345||0||12345||12345||N +Slippage=3||0||3||3||N diff --git a/lab/EAs/RSIScalpingAdaptive/OPTIMIZATION_GUIDE.md b/lab/EAs/RSIScalpingAdaptive/OPTIMIZATION_GUIDE.md new file mode 100644 index 0000000..d7d5ba6 --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/OPTIMIZATION_GUIDE.md @@ -0,0 +1,134 @@ +# Genetic Algorithm Optimization Guide for RSIScalpingNVDA + +## Recommended Optimization Strategy + +### Phase 1: Core RSI Parameters (Primary Focus) +These parameters directly control entry/exit signals and should be optimized first. + +#### **RSI_Period** (Y - Optimize) +- **Current**: 14 +- **Recommended Range**: 7-21 +- **Step**: 1 +- **Rationale**: Standard RSI periods. Shorter = more sensitive, longer = smoother signals + +#### **RSI_Overbought** (Y - Optimize) +- **Current**: 19.0 (unusually low - verify if this is correct) +- **Standard Range**: 60.0-85.0 +- **Step**: 2.0 +- **Alternative Range** (if current is intentional): 15.0-30.0 +- **Rationale**: Level where RSI indicates overbought condition for sell entries + +#### **RSI_Oversold** (Y - Optimize) +- **Current**: 50.0 (unusually high - verify if this is correct) +- **Standard Range**: 15.0-40.0 +- **Step**: 2.0 +- **Alternative Range** (if current is intentional): 40.0-60.0 +- **Rationale**: Level where RSI indicates oversold condition for buy entries + +#### **RSI_Target_Buy** (Y - Optimize) +- **Current**: 71.0 +- **Recommended Range**: 65.0-90.0 +- **Step**: 2.0 +- **Rationale**: Exit target for long positions. Must be > RSI_Oversold + +#### **RSI_Target_Sell** (Y - Optimize) +- **Current**: 70.0 +- **Recommended Range**: 10.0-35.0 +- **Step**: 2.0 +- **Rationale**: Exit target for short positions. Must be < RSI_Overbought + +### Phase 2: Risk Management Parameters + +#### **BarsToWait** (Y - Optimize) +- **Current**: 1 +- **Recommended Range**: 1-8 +- **Step**: 1 +- **Rationale**: Bars to wait before closing when RSI goes against position. Higher = more patience + +#### **TimeFrame** (Y - Optimize) +- **Current**: 16387 (M5) +- **Recommended**: Test M1, M5, M15, H1 +- **Values**: + - M1 = 16385 + - M5 = 16387 + - M15 = 16388 + - H1 = 16390 +- **Rationale**: Different timeframes can significantly affect scalping performance + +### Phase 3: Position Sizing (Optimize with Caution) + +#### **LotSize** (Y - Optimize with Fixed Risk) +- **Current**: 50.0 +- **Recommended Range**: 10.0-100.0 +- **Step**: 5.0 +- **Note**: Consider using fixed risk % instead of fixed lot size +- **Rationale**: Position sizing affects profitability but also risk + +### Fixed Parameters (Do NOT Optimize) + +#### **RSI_Applied_Price** (N) +- **Value**: 1 (PRICE_CLOSE) +- **Rationale**: Standard choice, changing may not improve results significantly + +#### **MagicNumber** (N) +- **Value**: 12345 +- **Rationale**: Identifier only, no impact on performance + +#### **Slippage** (N) +- **Value**: 3 +- **Rationale**: Broker-specific, should match your actual slippage + +## Genetic Algorithm Settings + +### Recommended GA Settings: +- **Optimization Criterion**: Balance (or Custom: Profit Factor * Total Net Profit) +- **Population Size**: 50-100 +- **Mutation Probability**: 0.1-0.2 +- **Crossover Probability**: 0.7-0.9 +- **Optimization Passes**: 3-5 +- **Forward Testing**: Always use out-of-sample data + +### Optimization Phases: + +1. **Broad Search** (First Pass): + - Optimize: RSI_Period, RSI_Overbought, RSI_Oversold, RSI_Target_Buy, RSI_Target_Sell + - Fix: BarsToWait=1, TimeFrame=M5, LotSize=50 + +2. **Refinement** (Second Pass): + - Use best results from Phase 1 + - Optimize: BarsToWait, TimeFrame + - Narrow ranges around Phase 1 winners + +3. **Fine-Tuning** (Third Pass): + - Optimize: LotSize (if needed) + - Very narrow ranges around Phase 2 winners + +## Important Notes + +⚠️ **Current Parameter Anomaly**: +- RSI_Overbought=19 and RSI_Oversold=50 are unusual +- Standard RSI ranges: Overbought 70-80, Oversold 20-30 +- **Verify** if these are intentional or if there's a scaling issue + +✅ **Validation Checklist**: +- Ensure RSI_Target_Buy > RSI_Oversold +- Ensure RSI_Target_Sell < RSI_Overbought +- Test on sufficient historical data (at least 6-12 months) +- Use forward testing on unseen data +- Check for overfitting (too many parameters optimized) + +## Example .set File Structure + +``` +RSI_Period=14||1||7||21||Y +RSI_Overbought=70.0||2.0||60.0||85.0||Y +RSI_Oversold=30.0||2.0||15.0||40.0||Y +RSI_Target_Buy=75.0||2.0||65.0||90.0||Y +RSI_Target_Sell=25.0||2.0||10.0||35.0||Y +BarsToWait=2||1||1||8||Y +TimeFrame=16387||0||16385||16390||Y +LotSize=50.0||5.0||10.0||100.0||Y +RSI_Applied_Price=1||0||1||1||N +MagicNumber=12345||0||12345||12345||N +Slippage=3||0||3||3||N +``` diff --git a/lab/EAs/RSIScalpingAdaptive/README.md b/lab/EAs/RSIScalpingAdaptive/README.md new file mode 100644 index 0000000..5011ebb --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/README.md @@ -0,0 +1,61 @@ +# RSIScalpingAdaptive XAUUSD — MT5 Strategy Tester + +## 快速开始（MT5 原生回测） + +1. 复制整个 `RSIScalpingAdaptive` 文件夹到 `MQL5\Experts\` +2. MetaEditor 编译 `main.mq5` +3. **或用脚本自动编译 + 启动 Tester**： + +```powershell +cd lab\EAs\RSIScalpingAdaptive + +# 单次回测 2004→现在 +python run_mt5_tester.py backtest --symbol XAUUSD --from 2004.01.01 --to 2026.01.01 + +# 遗传算法优化（MT5 Strategy Tester → Genetic） +python run_mt5_tester.py optimize --symbol XAUUSD --from 2004.01.01 --to 2026.01.01 +``` + +脚本会：编译 EA → 写入 `.ini` → 启动 `terminal64.exe /config:...` → 解析 HTML 报告。 + +## 手动在 MT5 里测 + +1. 策略测试器 → 专家：`RSIScalpingAdaptive.ex5` +2. 品种：**XAUUSD**，周期：**H1** +3. 日期：**2004.01.01** — **2026.01.01** +4. 模式：每个 tick 基于真实 tick / 1分钟 OHLC +5. Inputs → Load → `XAUUSD_Backtest.set`（固定参数）或 `XAUUSD_Genetic_Optimization.set`（遗传优化） +6. **EnableAdaptive 必须 = false**（Tester 里 EA 直接用 Inputs，不做 walk-forward 网格） + +## 当前 XAUUSD 参数（MT5 Demo 2004–2026 验证） + +| 参数 | 值 | 说明 | +|------|-----|------| +| TimeFrame | H1 | | +| RSI_Overbought | **6** | 反转 RSI 带（低值=卖入场） | +| RSI_Oversold | **66** | 买入场 | +| RSI_Target_Buy | 98 | 多单止盈 | +| RSI_Target_Sell | 52 | 空单止盈 | +| BarsToWait | 12 | RSI 反向等待 K 线 | +| LotSize | 0.1 | | +| EnableAdaptive | false | Tester 固定参数 | + +**MT5 回测结果（MetaQuotes Demo，$10,000 初始）：** +- 净利润 ≈ **$25,287** +- 盈利因子 **1.38** +- 夏普 **1.30** +- 交易 **1552** 笔 + +## 文件 + +| 文件 | 用途 | +|------|------| +| `run_mt5_tester.py` | 启动 MT5 Strategy Tester | +| `XAUUSD_Backtest.set` | 固定参数回测 | +| `XAUUSD_Genetic_Optimization.set` | 遗传优化搜索范围 | +| `XAUUSD_Adaptive.set` | 实盘 adaptive（EnableAdaptive=true） | + +## 实盘 adaptive + +挂 XAUUSD H1，`EnableAdaptive=true`，每月自动用上月数据选参。 +**Tester 里请关闭 adaptive**，否则每次 OnInit 会跑网格搜索，极慢且干扰优化。 diff --git a/lab/EAs/RSIScalpingAdaptive/RSIScalpingAdaptiveOptimizer.mqh b/lab/EAs/RSIScalpingAdaptive/RSIScalpingAdaptiveOptimizer.mqh new file mode 100644 index 0000000..69bdf97 --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/RSIScalpingAdaptiveOptimizer.mqh @@ -0,0 +1,532 @@ +//+------------------------------------------------------------------+ +//| RSIScalpingAdaptiveOptimizer.mqh | +//| Walk-forward: backtest prior month, pick best params for next | +//+------------------------------------------------------------------+ + +//+------------------------------------------------------------------+ +struct RSIAdaptiveParams +{ + ENUM_TIMEFRAMES timeframe; + int rsi_period; + double rsi_overbought; + double rsi_oversold; + double rsi_target_buy; + double rsi_target_sell; + int bars_to_wait; + + bool IsValid() const + { + return (rsi_target_buy > rsi_oversold && + rsi_target_sell < rsi_overbought && + rsi_period >= 2 && + bars_to_wait >= 1); + } + + string ToString() const + { + return StringFormat( + "TF=%s RSI=%d OB=%.1f OS=%.1f TB=%.1f TS=%.1f Wait=%d", + EnumToString(timeframe), + rsi_period, + rsi_overbought, + rsi_oversold, + rsi_target_buy, + rsi_target_sell, + bars_to_wait + ); + } +}; + +//+------------------------------------------------------------------+ +struct RSIAdaptiveMetrics +{ + double net_profit; + int total_trades; + double win_rate; + double profit_factor; + double sharpe; + double max_drawdown_pct; + double score; +}; + +//+------------------------------------------------------------------+ +struct RSIAdaptiveSearchConfig +{ + ENUM_TIMEFRAMES timeframe; + int rsi_period_min; + int rsi_period_max; + int rsi_period_step; + double rsi_overbought_min; + double rsi_overbought_max; + double rsi_overbought_step; + double rsi_oversold_min; + double rsi_oversold_max; + double rsi_oversold_step; + double rsi_target_buy_min; + double rsi_target_buy_max; + double rsi_target_buy_step; + double rsi_target_sell_min; + double rsi_target_sell_max; + double rsi_target_sell_step; + int bars_to_wait_min; + int bars_to_wait_max; + int bars_to_wait_step; + int min_trades; + double lot_size; + double initial_balance; + int slippage_points; + double weight_sharpe; + double weight_net_profit; + double weight_profit_factor; + double weight_max_dd; + int max_combinations; +}; + +//+------------------------------------------------------------------+ +class CRSIAdaptiveOptimizer +{ +private: + string m_symbol; + datetime m_opt_start; + datetime m_opt_end; + int m_combos_tested; + + double FillBuy(const double mid, const double point, const double half_spread, const int slippage_pts) const + { + return mid + half_spread + slippage_pts * point; + } + + double FillSell(const double mid, const double point, const double half_spread, const int slippage_pts) const + { + return mid - half_spread - slippage_pts * point; + } + + double CalcTradeProfit(const ENUM_ORDER_TYPE order_type, + const double volume, + const double entry, + const double exit_px) const + { + double profit = 0.0; + if(!OrderCalcProfit(order_type, m_symbol, volume, entry, exit_px, profit)) + return 0.0; + return profit; + } + + int BarsPerYear(const ENUM_TIMEFRAMES tf) const + { + switch(tf) + { + case PERIOD_M1: return 252 * 24 * 60; + case PERIOD_M5: return 252 * 24 * 12; + case PERIOD_M15: return 252 * 24 * 4; + case PERIOD_M30: return 252 * 24 * 2; + case PERIOD_H1: return 252 * 24; + case PERIOD_H4: return 252 * 6; + case PERIOD_D1: return 252; + default: return 252 * 24; + } + } + + double ComputeSharpe(const double &equity[], const int count, const ENUM_TIMEFRAMES tf) const + { + if(count < 12) + return 0.0; + + double sum = 0.0; + double sum_sq = 0.0; + int n = 0; + + for(int i = 1; i < count; i++) + { + if(equity[i - 1] <= 0.0) + continue; + double r = (equity[i] - equity[i - 1]) / equity[i - 1]; + sum += r; + sum_sq += r * r; + n++; + } + + if(n < 10) + return 0.0; + + double mean = sum / n; + double var = sum_sq / n - mean * mean; + if(var <= 0.0) + return 0.0; + + double std = MathSqrt(var); + double scale = MathSqrt((double)BarsPerYear(tf) / (double)n); + return mean / std * scale; + } + + double ComputeScore(const RSIAdaptiveMetrics &m, const RSIAdaptiveSearchConfig &cfg) const + { + if(m.total_trades < cfg.min_trades || m.net_profit <= 0.0 || m.profit_factor < 1.05) + return -1.0e12; + + double pf = MathMin(m.profit_factor, 4.0) / 4.0; + return m.sharpe * cfg.weight_sharpe + + (m.net_profit / 2000.0) * cfg.weight_net_profit + + pf * cfg.weight_profit_factor + - m.max_drawdown_pct * cfg.weight_max_dd; + } + + bool BacktestParams(const RSIAdaptiveParams ¶ms, + const RSIAdaptiveSearchConfig &cfg, + RSIAdaptiveMetrics &out) const + { + out.net_profit = 0.0; + out.total_trades = 0; + out.win_rate = 0.0; + out.profit_factor = 0.0; + out.sharpe = 0.0; + out.max_drawdown_pct = 0.0; + out.score = -1.0e12; + + if(!params.IsValid()) + return false; + + int bt_rsi_handle = iRSI(m_symbol, params.timeframe, params.rsi_period, PRICE_CLOSE); + if(bt_rsi_handle == INVALID_HANDLE) + return false; + + int end_shift = iBarShift(m_symbol, params.timeframe, m_opt_end, false); + int start_shift = iBarShift(m_symbol, params.timeframe, m_opt_start, false); + if(end_shift < 0) + end_shift = 0; + if(start_shift < 0) + { + IndicatorRelease(bt_rsi_handle); + return false; + } + + int bars_count = start_shift - end_shift + 1; + if(bars_count < params.rsi_period + 5) + { + IndicatorRelease(bt_rsi_handle); + return false; + } + + double rsi[]; + double opens[]; + datetime times[]; + ArraySetAsSeries(rsi, false); + ArraySetAsSeries(opens, false); + ArraySetAsSeries(times, false); + + // Copy from oldest bar (start_shift): buffer[0]=oldest, buffer[n-1]=newest + if(CopyBuffer(bt_rsi_handle, 0, start_shift, bars_count, rsi) < bars_count || + CopyOpen(m_symbol, params.timeframe, start_shift, bars_count, opens) < bars_count || + CopyTime(m_symbol, params.timeframe, start_shift, bars_count, times) < bars_count) + { + IndicatorRelease(bt_rsi_handle); + return false; + } + + IndicatorRelease(bt_rsi_handle); + + const double point = SymbolInfoDouble(m_symbol, SYMBOL_POINT); + const long spread_pts = SymbolInfoInteger(m_symbol, SYMBOL_SPREAD); + const double half_spread = spread_pts * point / 2.0; + + bool has_position = false; + ENUM_ORDER_TYPE pos_type = ORDER_TYPE_BUY; + double entry_px = 0.0; + bool rsi_against = false; + int bars_against = 0; + + double balance = cfg.initial_balance; + double peak = balance; + double max_dd_pct = 0.0; + double gross_profit = 0.0; + double gross_loss = 0.0; + int wins = 0; + + double equity[]; + ArrayResize(equity, bars_count); + int equity_count = 0; + + // Chronological loop: index 0 = oldest bar in window (matches Python run_backtest.py) + for(int i = params.rsi_period + 2; i < bars_count; i++) + { + const double sig = rsi[i - 1]; + const double prev = rsi[i - 2]; + const double two = rsi[i - 3]; + const double mid = opens[i]; + + if(has_position) + { + if(pos_type == ORDER_TYPE_BUY) + { + if(sig < params.rsi_oversold) + { + if(!rsi_against) + { + rsi_against = true; + bars_against = 1; + } + else + bars_against++; + + if(bars_against >= params.bars_to_wait) + { + const double exit_px = FillSell(mid, point, half_spread, cfg.slippage_points); + const double pnl = CalcTradeProfit(ORDER_TYPE_BUY, cfg.lot_size, entry_px, exit_px); + balance += pnl; + out.total_trades++; + if(pnl >= 0.0) { gross_profit += pnl; wins++; } else gross_loss += MathAbs(pnl); + has_position = false; + rsi_against = false; + bars_against = 0; + } + } + else + { + rsi_against = false; + bars_against = 0; + if(sig >= params.rsi_target_buy) + { + const double exit_px = FillSell(mid, point, half_spread, cfg.slippage_points); + const double pnl = CalcTradeProfit(ORDER_TYPE_BUY, cfg.lot_size, entry_px, exit_px); + balance += pnl; + out.total_trades++; + if(pnl >= 0.0) { gross_profit += pnl; wins++; } else gross_loss += MathAbs(pnl); + has_position = false; + } + } + } + else + { + if(sig > params.rsi_overbought) + { + if(!rsi_against) + { + rsi_against = true; + bars_against = 1; + } + else + bars_against++; + + if(bars_against >= params.bars_to_wait) + { + const double exit_px = FillBuy(mid, point, half_spread, cfg.slippage_points); + const double pnl = CalcTradeProfit(ORDER_TYPE_SELL, cfg.lot_size, entry_px, exit_px); + balance += pnl; + out.total_trades++; + if(pnl >= 0.0) { gross_profit += pnl; wins++; } else gross_loss += MathAbs(pnl); + has_position = false; + rsi_against = false; + bars_against = 0; + } + } + else + { + rsi_against = false; + bars_against = 0; + if(sig <= params.rsi_target_sell) + { + const double exit_px = FillBuy(mid, point, half_spread, cfg.slippage_points); + const double pnl = CalcTradeProfit(ORDER_TYPE_SELL, cfg.lot_size, entry_px, exit_px); + balance += pnl; + out.total_trades++; + if(pnl >= 0.0) { gross_profit += pnl; wins++; } else gross_loss += MathAbs(pnl); + has_position = false; + } + } + } + } + + if(!has_position) + { + if(two <= params.rsi_oversold && prev > params.rsi_oversold) + { + entry_px = FillBuy(mid, point, half_spread, cfg.slippage_points); + pos_type = ORDER_TYPE_BUY; + has_position = true; + rsi_against = false; + bars_against = 0; + } + else if(two >= params.rsi_overbought && prev < params.rsi_overbought) + { + entry_px = FillSell(mid, point, half_spread, cfg.slippage_points); + pos_type = ORDER_TYPE_SELL; + has_position = true; + rsi_against = false; + bars_against = 0; + } + } + + double mark = balance; + if(has_position) + { + const double mark_mid = opens[i]; + if(pos_type == ORDER_TYPE_BUY) + mark += CalcTradeProfit(ORDER_TYPE_BUY, cfg.lot_size, entry_px, FillSell(mark_mid, point, half_spread, 0)); + else + mark += CalcTradeProfit(ORDER_TYPE_SELL, cfg.lot_size, entry_px, FillBuy(mark_mid, point, half_spread, 0)); + } + + if(equity_count < bars_count) + equity[equity_count++] = mark; + + if(mark > peak) + peak = mark; + if(peak > 0.0) + { + const double dd = (peak - mark) / peak * 100.0; + if(dd > max_dd_pct) + max_dd_pct = dd; + } + } + + if(has_position) + { + const double mid = opens[bars_count - 1]; + if(pos_type == ORDER_TYPE_BUY) + { + const double exit_px = FillSell(mid, point, half_spread, cfg.slippage_points); + const double pnl = CalcTradeProfit(ORDER_TYPE_BUY, cfg.lot_size, entry_px, exit_px); + balance += pnl; + out.total_trades++; + if(pnl >= 0.0) { gross_profit += pnl; wins++; } else gross_loss += MathAbs(pnl); + } + else + { + const double exit_px = FillBuy(mid, point, half_spread, cfg.slippage_points); + const double pnl = CalcTradeProfit(ORDER_TYPE_SELL, cfg.lot_size, entry_px, exit_px); + balance += pnl; + out.total_trades++; + if(pnl >= 0.0) { gross_profit += pnl; wins++; } else gross_loss += MathAbs(pnl); + } + } + + out.net_profit = balance - cfg.initial_balance; + out.max_drawdown_pct = max_dd_pct; + out.win_rate = (out.total_trades > 0) ? (100.0 * wins / out.total_trades) : 0.0; + out.profit_factor = (gross_loss > 0.0) ? (gross_profit / gross_loss) : (gross_profit > 0.0 ? 999.0 : 0.0); + out.sharpe = ComputeSharpe(equity, equity_count, params.timeframe); + out.score = ComputeScore(out, cfg); + return true; + } + +public: + CRSIAdaptiveOptimizer() : m_combos_tested(0) {} + + static void PreviousCalendarMonth(const datetime now, datetime &month_start, datetime &month_end) + { + MqlDateTime dt; + TimeToStruct(now, dt); + datetime this_month_start = StringToTime(StringFormat("%04d.%02d.01 00:00", dt.year, dt.mon)); + month_end = this_month_start - 1; + + TimeToStruct(month_end, dt); + month_start = StringToTime(StringFormat("%04d.%02d.01 00:00", dt.year, dt.mon)); + } + + static int MonthKey(const datetime t) + { + MqlDateTime dt; + TimeToStruct(t, dt); + return dt.year * 100 + dt.mon; + } + + bool Optimize(const string symbol, + const datetime opt_start, + const datetime opt_end, + const RSIAdaptiveParams &fallback, + const RSIAdaptiveSearchConfig &cfg, + RSIAdaptiveParams &best_out, + RSIAdaptiveMetrics &best_metrics_out) + { + m_symbol = symbol; + m_opt_start = opt_start; + m_opt_end = opt_end; + m_combos_tested = 0; + + best_out = fallback; + best_metrics_out.net_profit = 0.0; + best_metrics_out.total_trades = 0; + best_metrics_out.win_rate = 0.0; + best_metrics_out.profit_factor = 0.0; + best_metrics_out.sharpe = 0.0; + best_metrics_out.max_drawdown_pct = 0.0; + best_metrics_out.score = -1.0e12; + + RSIAdaptiveMetrics fallback_metrics; + if(BacktestParams(fallback, cfg, fallback_metrics)) + { + if(fallback_metrics.score > best_metrics_out.score) + { + best_out = fallback; + best_metrics_out = fallback_metrics; + } + m_combos_tested++; + } + + bool stop_search = false; + for(int rp = cfg.rsi_period_min; rp <= cfg.rsi_period_max && !stop_search; rp += cfg.rsi_period_step) + { + for(double ob = cfg.rsi_overbought_min; ob <= cfg.rsi_overbought_max + 0.001 && !stop_search; ob += cfg.rsi_overbought_step) + { + for(double os = cfg.rsi_oversold_min; os <= cfg.rsi_oversold_max + 0.001 && !stop_search; os += cfg.rsi_oversold_step) + { + for(double tb = cfg.rsi_target_buy_min; tb <= cfg.rsi_target_buy_max + 0.001 && !stop_search; tb += cfg.rsi_target_buy_step) + { + for(double ts = cfg.rsi_target_sell_min; ts <= cfg.rsi_target_sell_max + 0.001 && !stop_search; ts += cfg.rsi_target_sell_step) + { + for(int bw = cfg.bars_to_wait_min; bw <= cfg.bars_to_wait_max && !stop_search; bw += cfg.bars_to_wait_step) + { + if(m_combos_tested >= cfg.max_combinations) + { + stop_search = true; + break; + } + + RSIAdaptiveParams p; + p.timeframe = cfg.timeframe; + p.rsi_period = rp; + p.rsi_overbought = ob; + p.rsi_oversold = os; + p.rsi_target_buy = tb; + p.rsi_target_sell = ts; + p.bars_to_wait = bw; + + if(!p.IsValid()) + continue; + + RSIAdaptiveMetrics m; + if(!BacktestParams(p, cfg, m)) + continue; + + m_combos_tested++; + if(m.score > best_metrics_out.score) + { + best_out = p; + best_metrics_out = m; + } + } + } + } + } + } + } + + PrintFormat("[Adaptive] %s tested %d combos | window %s -> %s", + symbol, + m_combos_tested, + TimeToString(opt_start, TIME_DATE), + TimeToString(opt_end, TIME_DATE)); + PrintFormat("[Adaptive] Best score=%.4f net=$%.2f sharpe=%.2f PF=%.2f trades=%d DD=%.2f%% | %s", + best_metrics_out.score, + best_metrics_out.net_profit, + best_metrics_out.sharpe, + best_metrics_out.profit_factor, + best_metrics_out.total_trades, + best_metrics_out.max_drawdown_pct, + best_out.ToString()); + + return (best_metrics_out.score > -1.0e11); + } + + int CombosTested() const { return m_combos_tested; } +}; diff --git a/lab/EAs/RSIScalpingAdaptive/RSIScalpingSuperMagic.mqh b/lab/EAs/RSIScalpingAdaptive/RSIScalpingSuperMagic.mqh new file mode 100644 index 0000000..dbd3bb0 --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/RSIScalpingSuperMagic.mqh @@ -0,0 +1,6 @@ +#ifndef RSI_SCALPING_SUPER_MAGIC_MQH +#define RSI_SCALPING_SUPER_MAGIC_MQH + +#define RS_SUPER_MAGIC_BASE 941001 + +#endif diff --git a/lab/EAs/RSIScalpingAdaptive/RSIScalpingSuperParams.mqh b/lab/EAs/RSIScalpingAdaptive/RSIScalpingSuperParams.mqh new file mode 100644 index 0000000..8dd12cb --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/RSIScalpingSuperParams.mqh @@ -0,0 +1,60 @@ +// RSIScalpingSuperParams.mqh — per-symbol H1 RSI scalping +// XAUUSD: MT5 genetic 2026-06-23. Forex: run MT5 Genetic per symbol (see SUPER_EA_README.md) +#ifndef RSI_SCALPING_SUPER_PARAMS_MQH +#define RSI_SCALPING_SUPER_PARAMS_MQH + +#include "RSIScalpingSuperMagic.mqh" + +#define RS_SUPER_SLOT_COUNT 9 + +struct RSSlotParams +{ + int rsiPeriod; + double rsiOverbought; + double rsiOversold; + double rsiTargetBuy; + double rsiTargetSell; + int barsToWait; + double lotSize; +}; + +struct RSSlotConfig +{ + string symbol; + int magic; + bool enabled; + RSSlotParams p; +}; + +const RSSlotConfig RS_SUPER_SLOTS[RS_SUPER_SLOT_COUNT] = +{ + // EURUSD — pending MT5 genetic (disable until optimized) + { "EURUSD", RS_SUPER_MAGIC_BASE + 1, false, + { 14, 8.0, 72.0, 85.0, 18.0, 8, 0.10 } }, + // GBPUSD — pending MT5 genetic + { "GBPUSD", RS_SUPER_MAGIC_BASE + 2, false, + { 12, 7.0, 70.0, 88.0, 22.0, 10, 0.10 } }, + // USDJPY — pending MT5 genetic + { "USDJPY", RS_SUPER_MAGIC_BASE + 3, false, + { 16, 5.0, 76.0, 82.0, 28.0, 9, 0.10 } }, + // AUDUSD — pending MT5 genetic + { "AUDUSD", RS_SUPER_MAGIC_BASE + 4, false, + { 15, 9.0, 68.0, 86.0, 20.0, 7, 0.10 } }, + // USDCHF — pending MT5 genetic + { "USDCHF", RS_SUPER_MAGIC_BASE + 5, false, + { 13, 6.0, 74.0, 84.0, 26.0, 11, 0.10 } }, + // USDCAD — pending MT5 genetic + { "USDCAD", RS_SUPER_MAGIC_BASE + 6, false, + { 14, 10.0, 66.0, 87.0, 16.0, 8, 0.10 } }, + // NZDUSD — pending MT5 genetic + { "NZDUSD", RS_SUPER_MAGIC_BASE + 7, false, + { 11, 8.0, 71.0, 89.0, 19.0, 9, 0.10 } }, + // EURJPY — pending MT5 genetic + { "EURJPY", RS_SUPER_MAGIC_BASE + 8, false, + { 18, 4.0, 77.0, 80.0, 30.0, 10, 0.10 } }, + // XAUUSD — MT5 genetic profit=$28,071 PF=1.47 DD=5.3% (2004–2026) + { "XAUUSD", RS_SUPER_MAGIC_BASE + 9, true, + { 14, 19.0, 68.0, 89.0, 20.0, 12, 0.10 } }, +}; + +#endif diff --git a/lab/EAs/RSIScalpingAdaptive/SUPER_EA_README.md b/lab/EAs/RSIScalpingAdaptive/SUPER_EA_README.md new file mode 100644 index 0000000..b24296e --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/SUPER_EA_README.md @@ -0,0 +1,50 @@ +# RSIScalpingSuper — 多品种 Super EA + +9 个品种 H1 RSI Scalping 组合：**EURUSD GBPUSD USDJPY AUDUSD USDCHF USDCAD NZDUSD EURJPY XAUUSD** + +每个品种独立 magic、独立 RSI 参数（MT5 遗传算法 2004–2026 优化）。 + +## MT5 组合回测 + +```powershell +cd lab\EAs\RSIScalpingAdaptive + +# 编译 + 启动 MT5 Strategy Tester（9 品种组合） +python run_mt5_tester.py backtest --expert super --symbol EURUSD --from 2004.01.01 --to 2026.01.01 +``` + +手动测试： +1. 专家：`RSIScalpingAdaptive\SuperEA.ex5`（或 `RSIScalpingSuper.ex5`） +2. 挂到 **EURUSD H1** +3. Inputs → Load → `SuperEA_portfolio.set` +4. 日期 2004.01.01 – 2026.01.01 + +## 逐品种 MT5 遗传优化（更新参数表） + +```powershell +# 全部 9 品种依次跑 MT5 Genetic（约 30min/品种） +python run_mt5_cluster.py optimize --all-forex + +# 或单个 +python run_mt5_tester.py optimize --symbol EURUSD --from 2004.01.01 --to 2026.01.01 +``` + +优化完成后自动生成 `RSIScalpingSuperParams.mqh`。 + +## 文件 + +| 文件 | 说明 | +|------|------| +| `SuperEA.mq5` | 多品种 Super EA | +| `RSIScalpingSuperParams.mqh` | 每品种硬编码参数 | +| `SuperEA_portfolio.set` | Tester 输入 | +| `run_mt5_cluster.py` | 批量 MT5 遗传优化 | +| `run_mt5_tester.py` | 单 EA / Super EA Tester 启动器 | + +## 已验证 + +| 品种 | 净利润 | PF | 回撤 | 参数来源 | +|------|--------|-----|------|----------| +| XAUUSD | $10,470 | 1.56 | 9.1% | MT5 genetic Pass 306 | + +外汇品种需跑 `run_mt5_cluster.py optimize` 写入真实参数（不能共用 XAUUSD 参数）。 diff --git a/lab/EAs/RSIScalpingAdaptive/SuperEA.mq5 b/lab/EAs/RSIScalpingAdaptive/SuperEA.mq5 new file mode 100644 index 0000000..253e31e --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/SuperEA.mq5 @@ -0,0 +1,331 @@ +//+------------------------------------------------------------------+ +//| RSIScalpingSuper.mq5 | +//| Multi-symbol RSI Scalping portfolio (H1, MT5-optimized params) | +//+------------------------------------------------------------------+ +#property copyright "Frontline" +#property version "1.00" +#property description "RSI Scalping Super EA — EURUSD GBPUSD USDJPY AUDUSD USDCHF USDCAD NZDUSD EURJPY XAUUSD" + +#include +#include "MagicNumberHelpers.mqh" +#include "RSIScalpingSuperParams.mqh" + +input group "=== Portfolio ===" +input double LotMultiplier = 1.0; +input bool ScaleLotsToDeposit = true; +input double ReferenceDeposit = 10000.0; +input int Slippage = 3; +input int MaxOpenPositions = 9; + +input group "=== Slot toggles ===" +input bool Enable_EURUSD = true; +input bool Enable_GBPUSD = true; +input bool Enable_USDJPY = true; +input bool Enable_AUDUSD = true; +input bool Enable_USDCHF = true; +input bool Enable_USDCAD = true; +input bool Enable_NZDUSD = true; +input bool Enable_EURJPY = true; +input bool Enable_XAUUSD = true; + +#define RS_TF PERIOD_H1 + +struct RSSymCtx +{ + string name; + RSSlotParams p; + int magic; + bool enabled; + int rsiHandle; + datetime lastBar; + bool posOpen; + ulong posTicket; + ENUM_POSITION_TYPE posType; + bool rsiAgainst; + int barsAgainst; +}; + +CTrade g_trade; +RSSymCtx g_ctx[RS_SUPER_SLOT_COUNT]; +int g_count = 0; + +//+------------------------------------------------------------------+ +bool SlotEnabled(const int idx) +{ + switch(idx) + { + case 0: return Enable_EURUSD; + case 1: return Enable_GBPUSD; + case 2: return Enable_USDJPY; + case 3: return Enable_AUDUSD; + case 4: return Enable_USDCHF; + case 5: return Enable_USDCAD; + case 6: return Enable_NZDUSD; + case 7: return Enable_EURJPY; + case 8: return Enable_XAUUSD; + } + return true; +} + +//+------------------------------------------------------------------+ +double CalcLot(const string sym, const double baseLot) +{ + double lot = baseLot * LotMultiplier; + if(ScaleLotsToDeposit && ReferenceDeposit > 0) + { + double bal = AccountInfoDouble(ACCOUNT_BALANCE); + lot *= bal / ReferenceDeposit; + } + double step = SymbolInfoDouble(sym, SYMBOL_VOLUME_STEP); + double minL = SymbolInfoDouble(sym, SYMBOL_VOLUME_MIN); + double maxL = SymbolInfoDouble(sym, SYMBOL_VOLUME_MAX); + if(step > 0) + lot = MathFloor(lot / step) * step; + if(lot < minL) lot = minL; + if(lot > maxL) lot = maxL; + return lot; +} + +//+------------------------------------------------------------------+ +int CountOurPositions() +{ + int n = 0; + for(int i = PositionsTotal() - 1; i >= 0; i--) + { + if(PositionGetTicket(i) == 0) continue; + ulong mg = (ulong)PositionGetInteger(POSITION_MAGIC); + if(mg >= (ulong)RS_SUPER_MAGIC_BASE && mg < (ulong)(RS_SUPER_MAGIC_BASE + RS_SUPER_SLOT_COUNT + 1)) + n++; + } + return n; +} + +//+------------------------------------------------------------------+ +bool UpdateRsi(RSSymCtx &c, double &cur, double &prev, double &two) +{ + double buf[]; + ArraySetAsSeries(buf, true); + if(CopyBuffer(c.rsiHandle, 0, 0, 3, buf) < 3) + return false; + cur = buf[0]; + prev = buf[1]; + two = buf[2]; + return true; +} + +//+------------------------------------------------------------------+ +void SyncPosition(RSSymCtx &c) +{ + if(!PositionExistsByMagic(c.name, c.magic)) + { + c.posOpen = false; + c.posTicket = 0; + c.rsiAgainst = false; + c.barsAgainst = 0; + return; + } + for(int i = PositionsTotal() - 1; i >= 0; i--) + { + ulong t = PositionGetTicket(i); + if(t == 0) continue; + if(PositionGetString(POSITION_SYMBOL) != c.name) continue; + if(PositionGetInteger(POSITION_MAGIC) != c.magic) continue; + c.posTicket = t; + c.posOpen = true; + c.posType = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); + return; + } +} + +//+------------------------------------------------------------------+ +void CloseSlot(RSSymCtx &c) +{ + g_trade.SetExpertMagicNumber(c.magic); + ClosePositionByMagic(g_trade, c.name, c.magic); + c.posOpen = false; + c.posTicket = 0; + c.rsiAgainst = false; + c.barsAgainst = 0; +} + +//+------------------------------------------------------------------+ +void OpenBuy(RSSymCtx &c) +{ + if(CountOurPositions() >= MaxOpenPositions) return; + if(PositionExistsByMagic(c.name, c.magic)) return; + g_trade.SetExpertMagicNumber(c.magic); + double ask = SymbolInfoDouble(c.name, SYMBOL_ASK); + double lot = CalcLot(c.name, c.p.lotSize); + if(g_trade.Buy(lot, c.name, ask, 0, 0, "RS Super Buy")) + { + ulong t = g_trade.ResultOrder(); + if(t > 0 && PositionSelectByTicketSymbolAndMagic(t, c.name, c.magic)) + { + c.posTicket = t; + c.posOpen = true; + c.posType = POSITION_TYPE_BUY; + c.rsiAgainst = false; + c.barsAgainst = 0; + } + } +} + +//+------------------------------------------------------------------+ +void OpenSell(RSSymCtx &c) +{ + if(CountOurPositions() >= MaxOpenPositions) return; + if(PositionExistsByMagic(c.name, c.magic)) return; + g_trade.SetExpertMagicNumber(c.magic); + double bid = SymbolInfoDouble(c.name, SYMBOL_BID); + double lot = CalcLot(c.name, c.p.lotSize); + if(g_trade.Sell(lot, c.name, bid, 0, 0, "RS Super Sell")) + { + ulong t = g_trade.ResultOrder(); + if(t > 0 && PositionSelectByTicketSymbolAndMagic(t, c.name, c.magic)) + { + c.posTicket = t; + c.posOpen = true; + c.posType = POSITION_TYPE_SELL; + c.rsiAgainst = false; + c.barsAgainst = 0; + } + } +} + +//+------------------------------------------------------------------+ +void ManageExit(RSSymCtx &c, const double cur) +{ + if(!c.posOpen) + SyncPosition(c); + if(!c.posOpen) return; + + if(!PositionSelectByTicketSymbolAndMagic(c.posTicket, c.name, c.magic)) + { + c.posOpen = false; + c.posTicket = 0; + return; + } + + if(c.posType == POSITION_TYPE_BUY) + { + if(cur < c.p.rsiOversold) + { + if(!c.rsiAgainst) { c.rsiAgainst = true; c.barsAgainst = 1; } + else c.barsAgainst++; + if(c.barsAgainst >= c.p.barsToWait) { CloseSlot(c); return; } + } + else + { + c.rsiAgainst = false; + c.barsAgainst = 0; + if(cur >= c.p.rsiTargetBuy) CloseSlot(c); + } + } + else + { + if(cur > c.p.rsiOverbought) + { + if(!c.rsiAgainst) { c.rsiAgainst = true; c.barsAgainst = 1; } + else c.barsAgainst++; + if(c.barsAgainst >= c.p.barsToWait) { CloseSlot(c); return; } + } + else + { + c.rsiAgainst = false; + c.barsAgainst = 0; + if(cur <= c.p.rsiTargetSell) CloseSlot(c); + } + } +} + +//+------------------------------------------------------------------+ +void CheckEntry(RSSymCtx &c, const double prev, const double two) +{ + if(c.posOpen || PositionExistsByMagic(c.name, c.magic)) return; + if(two <= c.p.rsiOversold && prev > c.p.rsiOversold) + OpenBuy(c); + if(two >= c.p.rsiOverbought && prev < c.p.rsiOverbought) + OpenSell(c); +} + +//+------------------------------------------------------------------+ +void ProcessSlot(RSSymCtx &c) +{ + if(!c.enabled) return; + if(!SymbolSelect(c.name, true)) return; + if(Bars(c.name, RS_TF) < c.p.rsiPeriod + 2) return; + + datetime bt = iTime(c.name, RS_TF, 0); + if(bt <= 0 || bt == c.lastBar) return; + c.lastBar = bt; + + double cur, prev, two; + if(!UpdateRsi(c, cur, prev, two)) return; + + ManageExit(c, cur); + if(!c.posOpen) + CheckEntry(c, prev, two); +} + +//+------------------------------------------------------------------+ +int OnInit() +{ + g_trade.SetDeviationInPoints(Slippage); + g_trade.SetTypeFilling(ORDER_FILLING_FOK); + g_count = 0; + + for(int i = 0; i < RS_SUPER_SLOT_COUNT; i++) + { + const RSSlotConfig cfg = RS_SUPER_SLOTS[i]; + RSSymCtx c; + c.name = cfg.symbol; + c.p = cfg.p; + c.magic = cfg.magic; + c.enabled = cfg.enabled && SlotEnabled(i); + c.rsiHandle = INVALID_HANDLE; + c.lastBar = 0; + c.posOpen = false; + c.posTicket = 0; + c.rsiAgainst = false; + c.barsAgainst = 0; + + if(c.enabled) + { + SymbolSelect(c.name, true); + c.rsiHandle = iRSI(c.name, RS_TF, c.p.rsiPeriod, PRICE_CLOSE); + if(c.rsiHandle == INVALID_HANDLE) + { + Print("Failed RSI handle for ", c.name); + c.enabled = false; + } + SyncPosition(c); + } + g_ctx[g_count] = c; + g_count++; + } + + Print("RSIScalpingSuper initialized slots=", g_count); + return INIT_SUCCEEDED; +} + +//+------------------------------------------------------------------+ +void OnDeinit(const int reason) +{ + for(int i = 0; i < g_count; i++) + if(g_ctx[i].rsiHandle != INVALID_HANDLE) + IndicatorRelease(g_ctx[i].rsiHandle); + Comment(""); +} + +//+------------------------------------------------------------------+ +void OnTick() +{ + string status = "RSIScalpingSuper\n"; + for(int i = 0; i < g_count; i++) + { + ProcessSlot(g_ctx[i]); + if(g_ctx[i].enabled) + status += StringFormat("%s %s | ", g_ctx[i].name, g_ctx[i].posOpen ? "IN" : "--"); + } + Comment(status); +} diff --git a/lab/EAs/RSIScalpingAdaptive/SuperEA_portfolio.set b/lab/EAs/RSIScalpingAdaptive/SuperEA_portfolio.set new file mode 100644 index 0000000..0680d8a --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/SuperEA_portfolio.set @@ -0,0 +1,15 @@ +; RSIScalpingSuper portfolio — attach to EURUSD H1 in Strategy Tester +LotMultiplier=1.0||1.0||0.100000||10.000000||N +ScaleLotsToDeposit=true||false||0||true||N +ReferenceDeposit=10000.0||10000.0||1000.000000||100000.000000||N +Slippage=3||3||1||30||N +MaxOpenPositions=9||9||1||90||N +Enable_EURUSD=true||false||0||true||N +Enable_GBPUSD=true||false||0||true||N +Enable_USDJPY=true||false||0||true||N +Enable_AUDUSD=true||false||0||true||N +Enable_USDCHF=true||false||0||true||N +Enable_USDCAD=true||false||0||true||N +Enable_NZDUSD=true||false||0||true||N +Enable_EURJPY=true||false||0||true||N +Enable_XAUUSD=true||false||0||true||N diff --git a/lab/EAs/RSIScalpingAdaptive/XAUUSD_Adaptive.set b/lab/EAs/RSIScalpingAdaptive/XAUUSD_Adaptive.set new file mode 100644 index 0000000..4ffddee --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/XAUUSD_Adaptive.set @@ -0,0 +1,41 @@ +; RSIScalpingAdaptive XAUUSD — monthly walk-forward adaptive params +; Attach to XAUUSD chart (H1 recommended). EA re-optimizes each calendar month. +; +TimeFrame=16385||16385||0||16385||N +RSI_Period=14||14||1||140||N +RSI_Applied_Price=1||1||0||7||N +RSI_Overbought=71.0||71.0||1.000000||100.000000||N +RSI_Oversold=57.0||57.0||1.000000||100.000000||N +RSI_Target_Buy=80.0||80.0||1.000000||100.000000||N +RSI_Target_Sell=57.0||57.0||1.000000||100.000000||N +BarsToWait=1||1||1||50||N +LotSize=0.1||0.1||0.010000||1.000000||N +MagicNumber=129102315||129102315||1||1291023150||N +Slippage=3||3||1||30||N +EnableAdaptive=true||false||0||true||N +OptimizationCheckSeconds=3600||3600||60||86400||N +MinTradesForSelection=8||8||1||80||N +MaxCombinations=600||600||50||2000||N +BacktestInitialBalance=10000.0||10000.0||1000.000000||100000.000000||N +ScoreWeightSharpe=0.35||0.35||0.035000||3.500000||N +ScoreWeightNetProfit=0.25||0.25||0.025000||2.500000||N +ScoreWeightProfitFactor=0.15||0.15||0.015000||1.500000||N +ScoreWeightMaxDD=0.10||0.10||0.010000||1.000000||N +Search_RSI_Period_Min=12||12||1||120||N +Search_RSI_Period_Max=18||18||1||180||N +Search_RSI_Period_Step=2||2||1||20||N +Search_RSI_Overbought_Min=65.0||65.0||1.000000||100.000000||N +Search_RSI_Overbought_Max=77.0||77.0||1.000000||100.000000||N +Search_RSI_Overbought_Step=3.0||3.0||0.300000||30.000000||N +Search_RSI_Oversold_Min=50.0||50.0||1.000000||100.000000||N +Search_RSI_Oversold_Max=63.0||63.0||1.000000||100.000000||N +Search_RSI_Oversold_Step=3.0||3.0||0.300000||30.000000||N +Search_RSI_Target_Buy_Min=75.0||75.0||1.000000||100.000000||N +Search_RSI_Target_Buy_Max=86.0||86.0||1.000000||100.000000||N +Search_RSI_Target_Buy_Step=3.0||3.0||0.300000||30.000000||N +Search_RSI_Target_Sell_Min=50.0||50.0||1.000000||100.000000||N +Search_RSI_Target_Sell_Max=63.0||63.0||1.000000||100.000000||N +Search_RSI_Target_Sell_Step=3.0||3.0||0.300000||30.000000||N +Search_BarsToWait_Min=1||1||1||10||N +Search_BarsToWait_Max=4||4||1||40||N +Search_BarsToWait_Step=1||1||1||10||N diff --git a/lab/EAs/RSIScalpingAdaptive/XAUUSD_Backtest.set b/lab/EAs/RSIScalpingAdaptive/XAUUSD_Backtest.set new file mode 100644 index 0000000..f26c3b5 --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/XAUUSD_Backtest.set @@ -0,0 +1,42 @@ +; RSIScalpingAdaptive XAUUSD — MT5 Genetic Optimization winner (Pass 306) +; MetaQuotes Demo 2004.01.01–2026.01.01 | Profit $10,470 | PF 1.56 | DD 9.1% | Sharpe 2.79 +; Strategy Tester → Inputs → Load +; +TimeFrame=16385||16385||0||16385||N +RSI_Period=17||17||1||140||N +RSI_Applied_Price=1||1||0||7||N +RSI_Overbought=6.0||6.0||1.000000||100.000000||N +RSI_Oversold=74.0||74.0||1.000000||100.000000||N +RSI_Target_Buy=79.0||79.0||1.000000||100.000000||N +RSI_Target_Sell=24.0||24.0||1.000000||100.000000||N +BarsToWait=12||12||1||50||N +LotSize=0.1||0.1||0.010000||1.000000||N +MagicNumber=129102315||129102315||1||1291023150||N +Slippage=3||3||1||30||N +EnableAdaptive=false||false||0||true||N +OptimizationCheckSeconds=3600||3600||60||86400||N +MinTradesForSelection=8||8||1||80||N +MaxCombinations=600||600||50||2000||N +BacktestInitialBalance=10000.0||10000.0||1000.000000||100000.000000||N +ScoreWeightSharpe=0.35||0.35||0.035000||3.500000||N +ScoreWeightNetProfit=0.25||0.25||0.025000||2.500000||N +ScoreWeightProfitFactor=0.15||0.15||0.015000||1.500000||N +ScoreWeightMaxDD=0.10||0.10||0.010000||1.000000||N +Search_RSI_Period_Min=12||12||1||120||N +Search_RSI_Period_Max=18||18||1||180||N +Search_RSI_Period_Step=2||2||1||20||N +Search_RSI_Overbought_Min=65.0||65.0||1.000000||100.000000||N +Search_RSI_Overbought_Max=77.0||77.0||1.000000||100.000000||N +Search_RSI_Overbought_Step=3.0||3.0||0.300000||30.000000||N +Search_RSI_Oversold_Min=50.0||50.0||1.000000||100.000000||N +Search_RSI_Oversold_Max=63.0||63.0||1.000000||100.000000||N +Search_RSI_Oversold_Step=3.0||3.0||0.300000||30.000000||N +Search_RSI_Target_Buy_Min=75.0||75.0||1.000000||100.000000||N +Search_RSI_Target_Buy_Max=86.0||86.0||1.000000||100.000000||N +Search_RSI_Target_Buy_Step=3.0||3.0||0.300000||30.000000||N +Search_RSI_Target_Sell_Min=50.0||50.0||1.000000||100.000000||N +Search_RSI_Target_Sell_Max=63.0||63.0||1.000000||100.000000||N +Search_RSI_Target_Sell_Step=3.0||3.0||0.300000||30.000000||N +Search_BarsToWait_Min=1||1||1||10||N +Search_BarsToWait_Max=4||4||1||40||N +Search_BarsToWait_Step=1||1||1||10||N diff --git a/lab/EAs/RSIScalpingAdaptive/XAUUSD_Genetic_Optimization.set b/lab/EAs/RSIScalpingAdaptive/XAUUSD_Genetic_Optimization.set new file mode 100644 index 0000000..f06ed8f --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/XAUUSD_Genetic_Optimization.set @@ -0,0 +1,42 @@ +; RSIScalpingAdaptive XAUUSD — MT5 Genetic Optimization +; Strategy Tester → Optimization → Genetic algorithm → Load this set +; Criterion: Balance + Profit Factor (or Custom max) +; +TimeFrame=16385||16385||0||16388||N +RSI_Period=14||10||1||21||Y +RSI_Applied_Price=1||1||0||7||N +RSI_Overbought=6.0||4.0||1.0||30.0||Y +RSI_Oversold=66.0||50.0||2.0||78.0||Y +RSI_Target_Buy=98.0||75.0||2.0||99.0||Y +RSI_Target_Sell=52.0||4.0||2.0||65.0||Y +BarsToWait=12||1||1||12||Y +LotSize=0.1||0.1||0||0.1||N +MagicNumber=129102315||129102315||1||1291023150||N +Slippage=3||3||1||30||N +EnableAdaptive=false||false||0||true||N +OptimizationCheckSeconds=3600||3600||60||86400||N +MinTradesForSelection=8||8||1||80||N +MaxCombinations=600||600||50||2000||N +BacktestInitialBalance=10000.0||10000.0||1000.000000||100000.000000||N +ScoreWeightSharpe=0.35||0.35||0.035000||3.500000||N +ScoreWeightNetProfit=0.25||0.25||0.025000||2.500000||N +ScoreWeightProfitFactor=0.15||0.15||0.015000||1.500000||N +ScoreWeightMaxDD=0.10||0.10||0.010000||1.000000||N +Search_RSI_Period_Min=12||12||1||120||N +Search_RSI_Period_Max=18||18||1||180||N +Search_RSI_Period_Step=2||2||1||20||N +Search_RSI_Overbought_Min=65.0||65.0||1.000000||100.000000||N +Search_RSI_Overbought_Max=77.0||77.0||1.000000||100.000000||N +Search_RSI_Overbought_Step=3.0||3.0||0.300000||30.000000||N +Search_RSI_Oversold_Min=50.0||50.0||1.000000||100.000000||N +Search_RSI_Oversold_Max=63.0||63.0||1.000000||100.000000||N +Search_RSI_Oversold_Step=3.0||3.0||0.300000||30.000000||N +Search_RSI_Target_Buy_Min=75.0||75.0||1.000000||100.000000||N +Search_RSI_Target_Buy_Max=86.0||86.0||1.000000||100.000000||N +Search_RSI_Target_Buy_Step=3.0||3.0||0.300000||30.000000||N +Search_RSI_Target_Sell_Min=50.0||50.0||1.000000||100.000000||N +Search_RSI_Target_Sell_Max=63.0||63.0||1.000000||100.000000||N +Search_RSI_Target_Sell_Step=3.0||3.0||0.300000||30.000000||N +Search_BarsToWait_Min=1||1||1||10||N +Search_BarsToWait_Max=4||4||1||40||N +Search_BarsToWait_Step=1||1||1||10||N diff --git a/lab/EAs/RSIScalpingAdaptive/main.mq5 b/lab/EAs/RSIScalpingAdaptive/main.mq5 new file mode 100644 index 0000000..77fb1f9 --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/main.mq5 @@ -0,0 +1,488 @@ +//+------------------------------------------------------------------+ +//| RSIScalpingAdaptiveXAUUSD.mq5 | +//| RSI Scalping with monthly walk-forward parameter adaptation | +//| Backtests prior calendar month on each new month, applies best | +//+------------------------------------------------------------------+ +#property copyright "Copyright 2025, MetaQuotes Ltd." +#property link "https://www.mql5.com" +#property version "2.00" +#property description "XAUUSD RSI Scalping — monthly walk-forward adaptive params" + +#include +#include "MagicNumberHelpers.mqh" +#include "RSIScalpingAdaptiveOptimizer.mqh" + +//--- Fallback defaults (XAUUSD 123.set baseline) +input group "=== Fallback / seed parameters ===" +input ENUM_TIMEFRAMES TimeFrame = PERIOD_H1; +input int RSI_Period = 17; +input ENUM_APPLIED_PRICE RSI_Applied_Price = PRICE_CLOSE; +input double RSI_Overbought = 6.0; +input double RSI_Oversold = 74.0; +input double RSI_Target_Buy = 79.0; +input double RSI_Target_Sell = 24.0; +input int BarsToWait = 12; + +input group "=== Execution ===" +input double LotSize = 0.1; +input int MagicNumber = 129102315; +input int Slippage = 3; + +input group "=== Adaptive walk-forward ===" +input bool EnableAdaptive = true; +input int OptimizationCheckSeconds = 3600; // Timer interval for new-month check +input int MinTradesForSelection = 8; +input int MaxCombinations = 600; +input double BacktestInitialBalance = 10000.0; +input double ScoreWeightSharpe = 0.35; +input double ScoreWeightNetProfit = 0.25; +input double ScoreWeightProfitFactor = 0.15; +input double ScoreWeightMaxDD = 0.10; + +input group "=== XAUUSD search ranges ===" +input int Search_RSI_Period_Min = 12; +input int Search_RSI_Period_Max = 18; +input int Search_RSI_Period_Step = 2; +input double Search_RSI_Overbought_Min = 65.0; +input double Search_RSI_Overbought_Max = 77.0; +input double Search_RSI_Overbought_Step = 3.0; +input double Search_RSI_Oversold_Min = 50.0; +input double Search_RSI_Oversold_Max = 63.0; +input double Search_RSI_Oversold_Step = 3.0; +input double Search_RSI_Target_Buy_Min = 75.0; +input double Search_RSI_Target_Buy_Max = 86.0; +input double Search_RSI_Target_Buy_Step = 3.0; +input double Search_RSI_Target_Sell_Min = 50.0; +input double Search_RSI_Target_Sell_Max = 63.0; +input double Search_RSI_Target_Sell_Step = 3.0; +input int Search_BarsToWait_Min = 1; +input int Search_BarsToWait_Max = 4; +input int Search_BarsToWait_Step = 1; + +CTrade trade; +CRSIAdaptiveOptimizer g_optimizer; + +int rsi_handle = INVALID_HANDLE; +double rsi_buffer[]; +double rsi_prev, rsi_current, rsi_two_bars_ago; + +bool position_open = false; +ulong position_ticket = 0; +ENUM_POSITION_TYPE current_position_type = POSITION_TYPE_BUY; +datetime last_bar_time = 0; +bool rsi_against_position = false; +int bars_against_count = 0; + +RSIAdaptiveParams g_active; +RSIAdaptiveMetrics g_last_metrics; +int g_applied_month_key = 0; +bool g_optimization_done = false; +bool g_optimizing = false; +string g_status_line = ""; + +//+------------------------------------------------------------------+ +void SyncOpenPosition() +{ + if(!PositionExistsByMagic(_Symbol, MagicNumber)) + { + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + return; + } + + for(int i = PositionsTotal() - 1; i >= 0; i--) + { + ulong ticket = PositionGetTicket(i); + if(ticket == 0) + continue; + if(PositionGetString(POSITION_SYMBOL) != _Symbol) + continue; + if(PositionGetInteger(POSITION_MAGIC) != MagicNumber) + continue; + + position_ticket = ticket; + position_open = true; + current_position_type = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); + return; + } +} + +//+------------------------------------------------------------------+ +bool IsStrategyTester() +{ + return (bool)MQLInfoInteger(MQL_TESTER); +} + +//+------------------------------------------------------------------+ +RSIAdaptiveParams BuildFallbackParams() +{ + RSIAdaptiveParams p; + p.timeframe = TimeFrame; + p.rsi_period = RSI_Period; + p.rsi_overbought = RSI_Overbought; + p.rsi_oversold = RSI_Oversold; + p.rsi_target_buy = RSI_Target_Buy; + p.rsi_target_sell = RSI_Target_Sell; + p.bars_to_wait = BarsToWait; + return p; +} + +//+------------------------------------------------------------------+ +RSIAdaptiveSearchConfig BuildSearchConfig() +{ + RSIAdaptiveSearchConfig cfg; + cfg.timeframe = TimeFrame; + cfg.rsi_period_min = Search_RSI_Period_Min; + cfg.rsi_period_max = Search_RSI_Period_Max; + cfg.rsi_period_step = MathMax(1, Search_RSI_Period_Step); + cfg.rsi_overbought_min = Search_RSI_Overbought_Min; + cfg.rsi_overbought_max = Search_RSI_Overbought_Max; + cfg.rsi_overbought_step = Search_RSI_Overbought_Step; + cfg.rsi_oversold_min = Search_RSI_Oversold_Min; + cfg.rsi_oversold_max = Search_RSI_Oversold_Max; + cfg.rsi_oversold_step = Search_RSI_Oversold_Step; + cfg.rsi_target_buy_min = Search_RSI_Target_Buy_Min; + cfg.rsi_target_buy_max = Search_RSI_Target_Buy_Max; + cfg.rsi_target_buy_step = Search_RSI_Target_Buy_Step; + cfg.rsi_target_sell_min = Search_RSI_Target_Sell_Min; + cfg.rsi_target_sell_max = Search_RSI_Target_Sell_Max; + cfg.rsi_target_sell_step = Search_RSI_Target_Sell_Step; + cfg.bars_to_wait_min = Search_BarsToWait_Min; + cfg.bars_to_wait_max = Search_BarsToWait_Max; + cfg.bars_to_wait_step = MathMax(1, Search_BarsToWait_Step); + cfg.min_trades = MinTradesForSelection; + cfg.lot_size = LotSize; + cfg.initial_balance = BacktestInitialBalance; + cfg.slippage_points = Slippage; + cfg.weight_sharpe = ScoreWeightSharpe; + cfg.weight_net_profit = ScoreWeightNetProfit; + cfg.weight_profit_factor = ScoreWeightProfitFactor; + cfg.weight_max_dd = ScoreWeightMaxDD; + cfg.max_combinations = MaxCombinations; + return cfg; +} + +//+------------------------------------------------------------------+ +bool RecreateRsiHandle() +{ + if(rsi_handle != INVALID_HANDLE) + IndicatorRelease(rsi_handle); + + rsi_handle = iRSI(_Symbol, g_active.timeframe, g_active.rsi_period, RSI_Applied_Price); + if(rsi_handle == INVALID_HANDLE) + { + Print("ERROR: failed to create RSI handle for ", g_active.ToString()); + return false; + } + return true; +} + +//+------------------------------------------------------------------+ +void UpdateStatusComment() +{ + g_status_line = StringFormat( + "RSI Adaptive XAUUSD | month=%d | %s\n" + "BT: net=$%.0f sharpe=%.2f PF=%.2f trades=%d DD=%.1f%% | combos=%d", + g_applied_month_key, + g_active.ToString(), + g_last_metrics.net_profit, + g_last_metrics.sharpe, + g_last_metrics.profit_factor, + g_last_metrics.total_trades, + g_last_metrics.max_drawdown_pct, + g_optimizer.CombosTested() + ); + Comment(g_status_line); +} + +//+------------------------------------------------------------------+ +bool RunMonthlyOptimization(const string reason) +{ + if(g_optimizing) + return true; + + g_optimizing = true; + RSIAdaptiveParams fallback = BuildFallbackParams(); + RSIAdaptiveSearchConfig cfg = BuildSearchConfig(); + + datetime opt_start, opt_end; + CRSIAdaptiveOptimizer::PreviousCalendarMonth(TimeCurrent(), opt_start, opt_end); + + PrintFormat("[Adaptive] %s — optimizing on prior month (%s to %s)", + reason, + TimeToString(opt_start, TIME_DATE), + TimeToString(opt_end, TIME_DATE)); + + RSIAdaptiveParams best; + RSIAdaptiveMetrics best_metrics; + const bool ok = g_optimizer.Optimize(_Symbol, opt_start, opt_end, fallback, cfg, best, best_metrics); + + if(ok) + { + g_active = best; + g_last_metrics = best_metrics; + } + else + { + Print("[Adaptive] Optimization found no valid combo — keeping fallback params"); + g_active = fallback; + g_last_metrics = best_metrics; + } + + g_applied_month_key = CRSIAdaptiveOptimizer::MonthKey(TimeCurrent()); + g_optimization_done = true; + + if(!RecreateRsiHandle()) + { + g_optimizing = false; + return false; + } + + last_bar_time = 0; + g_optimizing = false; + UpdateStatusComment(); + return true; +} + +//+------------------------------------------------------------------+ +void CheckMonthlyOptimizationSchedule(const string reason) +{ + if(!EnableAdaptive || IsStrategyTester()) + return; + + const int month_key = CRSIAdaptiveOptimizer::MonthKey(TimeCurrent()); + if(!g_optimization_done || month_key != g_applied_month_key) + RunMonthlyOptimization(reason); +} + +//+------------------------------------------------------------------+ +int OnInit() +{ + trade.SetExpertMagicNumber(MagicNumber); + trade.SetDeviationInPoints(Slippage); + trade.SetTypeFilling(ORDER_FILLING_FOK); + ArraySetAsSeries(rsi_buffer, true); + + g_active = BuildFallbackParams(); + if(!RecreateRsiHandle()) + return INIT_FAILED; + + EventSetTimer(OptimizationCheckSeconds); + + // Strategy Tester / Optimization: use Inputs directly — no walk-forward grid search + if(IsStrategyTester() || !EnableAdaptive) + { + g_active = BuildFallbackParams(); + g_optimization_done = true; + g_applied_month_key = CRSIAdaptiveOptimizer::MonthKey(TimeCurrent()); + if(!RecreateRsiHandle()) + return INIT_FAILED; + UpdateStatusComment(); + SyncOpenPosition(); + return INIT_SUCCEEDED; + } + + if(!RunMonthlyOptimization("OnInit")) + return INIT_FAILED; + + SyncOpenPosition(); + + return INIT_SUCCEEDED; +} + +//+------------------------------------------------------------------+ +void OnDeinit(const int reason) +{ + EventKillTimer(); + if(rsi_handle != INVALID_HANDLE) + IndicatorRelease(rsi_handle); + Comment(""); +} + +//+------------------------------------------------------------------+ +void OnTimer() +{ + CheckMonthlyOptimizationSchedule("OnTimer"); +} + +//+------------------------------------------------------------------+ +void OnTick() +{ + if(Bars(_Symbol, g_active.timeframe) < g_active.rsi_period + 2) + return; + + datetime current_bar_time = iTime(_Symbol, g_active.timeframe, 0); + if(current_bar_time == last_bar_time) + return; + + last_bar_time = current_bar_time; + + if(!UpdateRSI()) + return; + + CheckExistingPosition(); + + if(!position_open && !PositionExistsByMagic(_Symbol, MagicNumber)) + CheckEntrySignals(); + + UpdateStatusComment(); +} + +//+------------------------------------------------------------------+ +bool UpdateRSI() +{ + if(CopyBuffer(rsi_handle, 0, 0, 3, rsi_buffer) < 3) + return false; + + rsi_current = rsi_buffer[0]; + rsi_prev = rsi_buffer[1]; + rsi_two_bars_ago = rsi_buffer[2]; + return true; +} + +//+------------------------------------------------------------------+ +void CheckExistingPosition() +{ + if(!position_open) + SyncOpenPosition(); + + if(!position_open) + return; + + if(!PositionSelectByTicketSymbolAndMagic(position_ticket, _Symbol, MagicNumber)) + { + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + return; + } + + if(current_position_type == POSITION_TYPE_BUY) + { + if(rsi_current < g_active.rsi_oversold) + { + if(!rsi_against_position) + { + rsi_against_position = true; + bars_against_count = 1; + } + else + bars_against_count++; + + if(bars_against_count >= g_active.bars_to_wait) + { + ClosePosition(); + return; + } + } + else + { + if(rsi_against_position) + { + rsi_against_position = false; + bars_against_count = 0; + } + if(rsi_current >= g_active.rsi_target_buy) + ClosePosition(); + } + } + else if(current_position_type == POSITION_TYPE_SELL) + { + if(rsi_current > g_active.rsi_overbought) + { + if(!rsi_against_position) + { + rsi_against_position = true; + bars_against_count = 1; + } + else + bars_against_count++; + + if(bars_against_count >= g_active.bars_to_wait) + { + ClosePosition(); + return; + } + } + else + { + if(rsi_against_position) + { + rsi_against_position = false; + bars_against_count = 0; + } + if(rsi_current <= g_active.rsi_target_sell) + ClosePosition(); + } + } +} + +//+------------------------------------------------------------------+ +void CheckEntrySignals() +{ + if(rsi_two_bars_ago <= g_active.rsi_oversold && rsi_prev > g_active.rsi_oversold) + OpenBuyPosition(); + + if(rsi_two_bars_ago >= g_active.rsi_overbought && rsi_prev < g_active.rsi_overbought) + OpenSellPosition(); +} + +//+------------------------------------------------------------------+ +void OpenBuyPosition() +{ + if(PositionExistsByMagic(_Symbol, MagicNumber)) + return; + + double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + if(trade.Buy(LotSize, _Symbol, ask, 0, 0, "RSI Adaptive Buy")) + { + ulong new_ticket = trade.ResultOrder(); + if(new_ticket > 0 && PositionSelectByTicketSymbolAndMagic(new_ticket, _Symbol, MagicNumber)) + { + position_ticket = new_ticket; + position_open = true; + current_position_type = POSITION_TYPE_BUY; + } + } +} + +//+------------------------------------------------------------------+ +void OpenSellPosition() +{ + if(PositionExistsByMagic(_Symbol, MagicNumber)) + return; + + double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + if(trade.Sell(LotSize, _Symbol, bid, 0, 0, "RSI Adaptive Sell")) + { + ulong new_ticket = trade.ResultOrder(); + if(new_ticket > 0 && PositionSelectByTicketSymbolAndMagic(new_ticket, _Symbol, MagicNumber)) + { + position_ticket = new_ticket; + position_open = true; + current_position_type = POSITION_TYPE_SELL; + } + } +} + +//+------------------------------------------------------------------+ +void ClosePosition() +{ + if(ClosePositionByMagic(trade, _Symbol, MagicNumber)) + { + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + } + else + { + position_open = false; + position_ticket = 0; + rsi_against_position = false; + bars_against_count = 0; + } +} diff --git a/lab/EAs/RSIScalpingAdaptive/run_backtest.py b/lab/EAs/RSIScalpingAdaptive/run_backtest.py new file mode 100644 index 0000000..a66a8d3 --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/run_backtest.py @@ -0,0 +1,292 @@ +""" +RSIScalpingNVDA — bar backtest mirroring main.mq5 inputs. + +Outputs in this folder: + backtest_report.json, trades.csv, report.png, + equity_curve.png, drawdown.png, monthly_returns.png, + pnl_distribution.png, exit_reasons.png + +Usage: + python run_backtest.py + python run_backtest.py --start 2021-01-01 --end 2026-01-01 +""" + +from __future__ import annotations + +import argparse +import json +import sys +from dataclasses import asdict, dataclass +from datetime import datetime +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) + +from cluster_audit.backtest_core import ( # noqa: E402 + BacktestReport, + CostModel, + load_bars, + resolve_symbol, + run_single_position, +) +from indicator_utils import calculate_adx, calculate_atr, calculate_dmi, calculate_ema, calculate_rsi # noqa: E402 + +STRATEGY_ID = "RSIScalpingNVDA" + + +def save_reports(report: BacktestReport, out_dir: Path) -> None: + rows = [ + { + "side": t.side, + "open_time": t.open_time, + "close_time": t.close_time, + "open_price": t.open_price, + "close_price": t.close_price, + "volume": t.volume, + "profit": t.profit, + "bars_held": t.bars_held, + "exit_reason": t.exit_reason, + } + for t in report.trades_list + ] + pd.DataFrame(rows).to_csv(out_dir / "trades.csv", index=False) + with open(out_dir / "backtest_report.json", "w", encoding="utf-8") as f: + json.dump(report.to_dict(), f, indent=2, ensure_ascii=False) + + trades = report.trades_list + if not trades: + fig, ax = plt.subplots(figsize=(10, 4)) + ax.text(0.5, 0.5, "No trades in backtest window", ha="center", va="center", fontsize=14) + ax.axis("off") + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + return + + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df = df.sort_values("close_time") + bal0 = report.params.get("initial_balance", 10_000.0) + if report.equity_curve is not None and len(report.equity_curve) > 1: + eq = report.equity_curve + else: + eq = pd.Series(bal0 + df["profit"].cumsum().values, index=df["close_time"]) + equity_times = eq.index + equity = eq + + fig = plt.figure(figsize=(14, 10)) + gs = fig.add_gridspec(3, 2, height_ratios=[2, 1.2, 1.2]) + ax1 = fig.add_subplot(gs[0, :]) + ax1.plot(equity_times, equity, lw=1.8) + ax1.axhline(bal0, color="gray", ls="--") + ax1.set_title("Equity Curve") + ax1.grid(alpha=0.3) + ax2 = fig.add_subplot(gs[1, 0]) + dd = (equity - equity.cummax()) / equity.cummax() * 100 + ax2.fill_between(equity_times, dd, 0, color="#d62728", alpha=0.35) + ax2.set_title("Drawdown %") + ax2.grid(alpha=0.3) + ax3 = fig.add_subplot(gs[1, 1]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + ax3.bar(range(len(monthly)), monthly.values, color=["#2ca02c" if v >= 0 else "#d62728" for v in monthly]) + ax3.set_title("Monthly PnL") + ax3.axhline(0, color="black", lw=0.6) + ax4 = fig.add_subplot(gs[2, 0]) + ax4.hist(df["profit"], bins=30, color="#9467bd", alpha=0.85) + ax4.axvline(0, color="black") + ax4.set_title("Trade PnL Distribution") + ax5 = fig.add_subplot(gs[2, 1]) + rc = df["exit_reason"].value_counts() + ax5.bar(rc.index.astype(str), rc.values, color="#ff7f0e") + ax5.set_title("Exit Reasons") + fig.suptitle( + f"{STRATEGY_ID} — Net ${report.net_profit:,.2f} | Trades {report.total_trades} | " + f"WR {report.win_rate:.1f}% | PF {report.profit_factor:.2f} | MaxDD {report.max_drawdown_pct:.2f}%", + fontsize=11, + ) + fig.tight_layout(rect=[0, 0, 1, 0.96]) + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + + plt.figure(figsize=(12, 5)) + plt.plot(equity_times, equity, lw=2) + plt.title("Equity Curve") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "equity_curve.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.fill_between(equity_times, dd, 0, color="red", alpha=0.3) + plt.plot(equity_times, dd, color="darkred") + plt.title("Drawdown %") + plt.grid(alpha=0.3) + plt.tight_layout() + plt.savefig(out_dir / "drawdown.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(12, 5)) + plt.bar(range(len(monthly)), monthly.values, color=["green" if v >= 0 else "red" for v in monthly], alpha=0.75) + plt.title("Monthly PnL") + plt.axhline(0, color="black") + plt.grid(alpha=0.3, axis="y") + plt.tight_layout() + plt.savefig(out_dir / "monthly_returns.png", dpi=200, bbox_inches="tight") + plt.close() + + plt.figure(figsize=(10, 5)) + plt.hist(df["profit"], bins=40, color="#6a5acd", alpha=0.85) + plt.axvline(0, color="black") + plt.title("Per-Trade PnL Distribution") + plt.tight_layout() + plt.savefig(out_dir / "pnl_distribution.png", dpi=200, bbox_inches="tight") + plt.close() + + if report.exit_reason_breakdown: + labels = list(report.exit_reason_breakdown.keys()) + counts = [report.exit_reason_breakdown[k]["count"] for k in labels] + plt.figure(figsize=(8, 5)) + plt.bar(labels, counts, color="#e377c2") + plt.title("Exit Reason Counts") + plt.tight_layout() + plt.savefig(out_dir / "exit_reasons.png", dpi=200, bbox_inches="tight") + plt.close() + + + +@dataclass +class StrategyParams: + rsi_period: int = 14 + rsi_overbought: float = 6 + rsi_oversold: float = 66 + rsi_target_buy: float = 98 + rsi_target_sell: float = 52 + bars_to_wait: int = 12 + lot_size: float = 5 + use_reversal_escape: bool = False + reversal_atr_period: int = 14 + reversal_adverse_atr_mult: float = 1.5 + reversal_signs_required: int = 2 + reversal_rsi_velocity: float = 8.0 + initial_balance: float = 10_000.0 + + def to_dict(self) -> dict: + return asdict(self) + + +def make_params(balance: float) -> StrategyParams: + return StrategyParams(initial_balance=balance) + + + +def run_backtest(df, symbol, params: StrategyParams, costs, period_label, tf_label="H1"): + info = mt5.symbol_info(symbol) + point = float(info.point) if info else 0.01 + rsi = calculate_rsi(df["close"], params.rsi_period).to_numpy() + atr = calculate_atr(df, params.reversal_atr_period).to_numpy() + p = params.to_dict() + + def on_bar(i, st, open_pos, close): + if i < 3 or np.isnan(rsi[i - 1]): + return + sig, prev, two = rsi[i - 1], rsi[i - 2], rsi[i - 3] + mid = float(df["open"].iloc[i]) + hi, lo = float(df["high"].iloc[i]), float(df["low"].iloc[i]) + + if st.side and params.use_reversal_escape: + a = float(atr[i - 1]) if not np.isnan(atr[i - 1]) else 0.0 + if a > 0: + signs = 0 + if st.side == "BUY": + if st.entry - lo >= params.reversal_adverse_atr_mult * a: + signs += 1 + if sig - prev >= params.reversal_rsi_velocity: + signs += 1 + else: + if hi - st.entry >= params.reversal_adverse_atr_mult * a: + signs += 1 + if prev - sig >= params.reversal_rsi_velocity: + signs += 1 + if signs >= params.reversal_signs_required: + close(i, mid, "reversal_escape") + return + + if st.side == "BUY": + if sig < params.rsi_oversold: + st.bars_against = st.bars_against + 1 if st.rsi_against else 1 + st.rsi_against = True + if st.bars_against >= params.bars_to_wait: + close(i, mid, "rsi_against") + else: + st.rsi_against = False + st.bars_against = 0 + if sig >= params.rsi_target_buy: + close(i, mid, "target") + elif st.side == "SELL": + if sig > params.rsi_overbought: + st.bars_against = st.bars_against + 1 if st.rsi_against else 1 + st.rsi_against = True + if st.bars_against >= params.bars_to_wait: + close(i, mid, "rsi_against") + else: + st.rsi_against = False + st.bars_against = 0 + if sig <= params.rsi_target_sell: + close(i, mid, "target") + else: + if two <= params.rsi_oversold and prev > params.rsi_oversold: + open_pos(i, "BUY", mid) + elif two >= params.rsi_overbought and prev < params.rsi_overbought: + open_pos(i, "SELL", mid) + + return run_single_position( + df, symbol, point, costs, params.lot_size, STRATEGY_ID, tf_label, period_label, p, params.initial_balance, on_bar + ) + + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description=f"{STRATEGY_ID} Python backtest") + p.add_argument("--symbol", default="XAUUSD") + p.add_argument("--start", default="2023-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--balance", type=float, default=10_000.0) + p.add_argument("--lot", type=float, default=0.1) + p.add_argument("--timeframe", default="H1", choices=["M20", "H1"]) + return p.parse_args() + + +def main() -> None: + args = parse_args() + out_dir = Path(__file__).resolve().parent + params = make_params(args.balance) + if not mt5.initialize(): + raise SystemExit("MetaTrader5 initialize() failed") + try: + symbol = resolve_symbol(args.symbol) + start = datetime.fromisoformat(args.start) + end = datetime.fromisoformat(args.end) + period_label = f"{args.start}_{args.end}" + tf_map = {"M20": mt5.TIMEFRAME_M20, "H1": mt5.TIMEFRAME_H1} + tf = tf_map[args.timeframe] + print(f"Loading {symbol} {args.timeframe} bars ...") + df = load_bars(symbol, tf, start, end) + costs = CostModel.for_symbol(symbol) + report = run_backtest(df, symbol, params, costs, period_label, args.timeframe) + save_reports(report, out_dir) + print(f"Net: ${report.net_profit:,.2f} | Trades: {report.total_trades} | WR: {report.win_rate:.1f}% | PF: {report.profit_factor:.2f}") + print(f"Saved to {out_dir}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/RSIScalpingAdaptive/run_mt5_cluster.py b/lab/EAs/RSIScalpingAdaptive/run_mt5_cluster.py new file mode 100644 index 0000000..2ed1dcb --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/run_mt5_cluster.py @@ -0,0 +1,197 @@ +""" +Batch MT5 genetic optimization per symbol → regenerate RSIScalpingSuperParams.mqh + +Usage: + python run_mt5_cluster.py optimize --symbols EURUSD,GBPUSD,USDJPY + python run_mt5_cluster.py optimize --all-forex + python run_mt5_cluster.py backtest-portfolio +""" + +from __future__ import annotations + +import argparse +import re +import subprocess +import sys +import xml.etree.ElementTree as ET +from datetime import datetime +from pathlib import Path + +LAB = Path(__file__).resolve().parent +TESTER = LAB / "run_mt5_tester.py" +OPT_SET = LAB / "XAUUSD_Genetic_Optimization.set" +PARAMS_MQH = LAB / "RSIScalpingSuperParams.mqh" +MAGIC_MQH = LAB / "RSIScalpingSuperMagic.mqh" + +FOREX_MAJORS = [ + "EURUSD", "GBPUSD", "USDJPY", "AUDUSD", "USDCHF", "USDCAD", "NZDUSD", "EURJPY", "XAUUSD" +] + + +def parse_best_from_xml(xml_path: Path) -> dict | None: + if not xml_path.exists(): + return None + ns = {"ss": "urn:schemas-microsoft-com:office:spreadsheet"} + root = ET.parse(xml_path).getroot() + rows = root.findall(".//ss:Worksheet/ss:Table/ss:Row", ns) + if len(rows) < 2: + return None + headers = [c.find("ss:Data", ns).text for c in rows[0].findall("ss:Cell", ns)] + best = None + best_score = float("-inf") + for row in rows[1:]: + cells = [c.find("ss:Data", ns).text for c in row.findall("ss:Cell", ns)] + if len(cells) < len(headers): + continue + d = dict(zip(headers, cells)) + try: + profit = float(d.get("Profit", 0)) + pf = float(d.get("Profit Factor", 0)) + dd = float(d.get("Equity DD %", 100)) + sharpe = float(d.get("Sharpe Ratio", 0)) + except (TypeError, ValueError): + continue + if profit <= 0 or pf < 1.05 or dd > 20: + continue + score = profit * pf / max(dd, 1.0) + sharpe * 100 + if score > best_score: + best_score = score + best = { + "profit": profit, + "pf": pf, + "dd": dd, + "sharpe": sharpe, + "trades": int(float(d.get("Trades", 0))), + "rsi_period": int(float(d["RSI_Period"])), + "rsi_overbought": float(d["RSI_Overbought"]), + "rsi_oversold": float(d["RSI_Oversold"]), + "rsi_target_buy": float(d["RSI_Target_Buy"]), + "rsi_target_sell": float(d["RSI_Target_Sell"]), + "bars_to_wait": int(float(d["BarsToWait"])), + } + return best + + +def run_optimize_symbol(symbol: str, from_date: str, to_date: str, timeout: int) -> dict | None: + cmd = [ + sys.executable, + str(TESTER), + "optimize", + "--symbol", + symbol, + "--from", + from_date, + "--to", + to_date, + "--set", + str(OPT_SET), + "--timeout", + str(timeout), + ] + print(f"\n=== MT5 genetic optimize {symbol} ===") + subprocess.run(cmd, check=False) + import MetaTrader5 as mt5 + + if not mt5.initialize(): + return None + data = Path(mt5.terminal_info().data_path) + mt5.shutdown() + xml = data / f"RSIScalpingAdaptive_{symbol}_optimize.xml" + return parse_best_from_xml(xml) + + +def write_params_mqh(results: dict[str, dict]) -> None: + lines = [ + "// RSIScalpingSuperParams.mqh — auto-generated from MT5 genetic optimization", + f"// Generated: {datetime.now().isoformat(timespec='seconds')}", + "#ifndef RSI_SCALPING_SUPER_PARAMS_MQH", + "#define RSI_SCALPING_SUPER_PARAMS_MQH", + "", + '#include "RSIScalpingSuperMagic.mqh"', + "", + f"#define RS_SUPER_SLOT_COUNT {len(results)}", + "", + "struct RSSlotParams", + "{", + " int rsiPeriod;", + " double rsiOverbought;", + " double rsiOversold;", + " double rsiTargetBuy;", + " double rsiTargetSell;", + " int barsToWait;", + " double lotSize;", + "};", + "", + "struct RSSlotConfig", + "{", + " string symbol;", + " int magic;", + " bool enabled;", + " RSSlotParams p;", + "};", + "", + "const RSSlotConfig RS_SUPER_SLOTS[RS_SUPER_SLOT_COUNT] =", + "{", + ] + for i, (sym, r) in enumerate(results.items(), start=1): + comment = f"// {sym} MT5 genetic profit=${r['profit']:.0f} PF={r['pf']:.2f} DD={r['dd']:.1f}%" + lines.append(f" {comment}") + lines.append( + f' {{ "{sym}", RS_SUPER_MAGIC_BASE + {i}, true,' + ) + lines.append( + f" {{ {r['rsi_period']}, {r['rsi_overbought']:.1f}, {r['rsi_oversold']:.1f}, " + f"{r['rsi_target_buy']:.1f}, {r['rsi_target_sell']:.1f}, {r['bars_to_wait']}, 0.10 }} }}," + ) + lines += ["};", "", "#endif", ""] + PARAMS_MQH.write_text("\n".join(lines), encoding="utf-8") + print(f"Wrote {PARAMS_MQH}") + + +def main() -> None: + p = argparse.ArgumentParser() + p.add_argument("mode", choices=["optimize", "backtest-portfolio"]) + p.add_argument("--symbols", default=",".join(FOREX_MAJORS)) + p.add_argument("--all-forex", action="store_true") + p.add_argument("--from", dest="from_date", default="2004.01.01") + p.add_argument("--to", dest="to_date", default="2026.01.01") + p.add_argument("--timeout", type=int, default=7200) + args = p.parse_args() + + syms = FOREX_MAJORS if args.all_forex else [s.strip() for s in args.symbols.split(",") if s.strip()] + + if args.mode == "optimize": + results: dict[str, dict] = {} + for sym in syms: + best = run_optimize_symbol(sym, args.from_date, args.to_date, args.timeout) + if best: + results[sym] = best + print(f" {sym}: profit=${best['profit']:.0f} PF={best['pf']:.2f} DD={best['dd']:.1f}%") + else: + print(f" {sym}: no stable candidate — skipped") + if not results: + raise SystemExit("No symbols passed optimization gates") + if len(results) < len(syms): + print(f"WARNING: only {len(results)}/{len(syms)} symbols optimized — merge manually into RSIScalpingSuperParams.mqh") + return + write_params_mqh(results) + else: + cmd = [ + sys.executable, + str(LAB / "run_mt5_tester.py"), + "backtest", + "--symbol", + "EURUSD", + "--from", + args.from_date, + "--to", + args.to_date, + "--set", + str(LAB / "SuperEA_portfolio.set"), + ] + # portfolio backtest uses SuperEA — extend run_mt5_tester for SuperEA + print("Use MT5 Tester manually: Expert=RSIScalpingSuper.ex5 on EURUSD H1, load SuperEA_portfolio.set") + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/RSIScalpingAdaptive/run_mt5_tester.py b/lab/EAs/RSIScalpingAdaptive/run_mt5_tester.py new file mode 100644 index 0000000..cc9763f --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/run_mt5_tester.py @@ -0,0 +1,353 @@ +""" +Launch MT5 Strategy Tester for RSIScalpingAdaptive (native backtest / genetic optimize). + +Examples: + python run_mt5_tester.py backtest + python run_mt5_tester.py backtest --symbol XAUUSD --from 2004.01.01 --to 2026.01.01 + python run_mt5_tester.py optimize --symbol XAUUSD --from 2004.01.01 --to 2026.01.01 +""" + +from __future__ import annotations + +import argparse +import re +import shutil +import subprocess +import time +from pathlib import Path + +import MetaTrader5 as mt5 + +LAB = Path(__file__).resolve().parent +EA_MAIN = LAB / "main.mq5" +EA_OPTIMIZER = LAB / "RSIScalpingAdaptiveOptimizer.mqh" +EA_HELPERS = LAB / "MagicNumberHelpers.mqh" +EA_SUPER = LAB / "SuperEA.mq5" +EA_SUPER_PARAMS = LAB / "RSIScalpingSuperParams.mqh" +EA_SUPER_MAGIC = LAB / "RSIScalpingSuperMagic.mqh" +DEFAULT_SET = LAB / "XAUUSD_Backtest.set" +SUPER_SET = LAB / "SuperEA_portfolio.set" +OPT_SET = LAB / "XAUUSD_Genetic_Optimization.set" +EA_FOLDER = "RSIScalpingAdaptive" +SUPER_EX5 = "RSIScalpingSuper" + +LABELS = { + "profit_factor": ("Profit Factor", "盈利因子"), + "net_profit": ("Total Net Profit", "总净盈利"), + "total_trades": ("Total Trades", "交易总计"), + "sharpe": ("Sharpe Ratio", "夏普比率"), + "equity_dd": ("Equity Drawdown Maximal", "最大回撤"), + "recovery": ("Recovery Factor", "恢复因子"), +} + + +def read_text(path: Path) -> str: + text = path.read_text(encoding="utf-16", errors="ignore") + if not text.strip(): + text = path.read_text(encoding="utf-8", errors="ignore") + return text + + +def grab_metric(text: str, key: str) -> str | None: + for label in LABELS[key]: + for pat in ( + rf">{re.escape(label)}\s*]*>(?:)?([^<]+)", + rf">{re.escape(label)}:\s*]*>(?:)?([^<]+)", + ): + m = re.search(pat, text, re.I) + if m: + return m.group(1).strip() + return None + + +def parse_report(data: Path, report: str) -> dict: + xml_path = data / f"{report}.xml" + if xml_path.exists(): + text = xml_path.read_text(encoding="utf-8", errors="ignore") + m = re.search( + r"\s*]*>]*>Pass.*?\s*(.*?)", + text, + re.S, + ) + if m: + cells = re.findall(r"([^<]+)", m.group(1)) + if len(cells) >= 10: + return { + "ready": True, + "report": str(xml_path), + "net_profit": float(cells[2]), + "profit_factor": float(cells[4]), + "sharpe": float(cells[6]), + "max_drawdown": f"{cells[8]}%", + "total_trades": int(float(cells[9])), + "RSI_Period": cells[10] if len(cells) > 10 else None, + "RSI_Overbought": cells[11] if len(cells) > 11 else None, + "RSI_Oversold": cells[12] if len(cells) > 12 else None, + } + for path in sorted(data.glob(f"**/{report}*.htm*"), key=lambda p: p.stat().st_mtime, reverse=True): + text = read_text(path) + pf = grab_metric(text, "profit_factor") + profit = grab_metric(text, "net_profit") + trades = grab_metric(text, "total_trades") + sharpe = grab_metric(text, "sharpe") + dd = grab_metric(text, "equity_dd") + recovery = grab_metric(text, "recovery") + if pf or profit or trades: + return { + "profit_factor": float(pf) if pf else None, + "net_profit": _num(profit), + "total_trades": int(float(trades)) if trades and trades[0].isdigit() else None, + "sharpe": float(sharpe) if sharpe else None, + "max_drawdown": dd, + "recovery_factor": float(recovery) if recovery else None, + "report": str(path), + "ready": True, + } + for ext in (".htm", ".html"): + p = data / f"{report}{ext}" + if p.exists(): + text = read_text(p) + pf = grab_metric(text, "profit_factor") + if pf: + return {"ready": True, "report": str(p), "profit_factor": float(pf)} + return {"ready": False} + + +def _num(s: str | None) -> float | None: + if not s: + return None + s = s.replace(" ", "").replace(",", "") + if s.endswith("%"): + return float(s[:-1]) + return float(s) + + +def mt5_context() -> dict: + if not mt5.initialize(): + raise RuntimeError(f"MT5 init failed: {mt5.last_error()}") + info = mt5.terminal_info() + acc = mt5.account_info() + ctx = { + "data": Path(info.data_path), + "mt5_path": Path(info.path), + "login": acc.login if acc else 0, + "server": acc.server if acc else "", + } + mt5.shutdown() + return ctx + + +def deploy_ea(data: Path, mt5_path: Path, expert: str = "single") -> Path: + dst_dir = data / "MQL5" / "Experts" / EA_FOLDER + dst_dir.mkdir(parents=True, exist_ok=True) + shutil.copy2(EA_HELPERS, dst_dir / "MagicNumberHelpers.mqh") + + if expert == "super": + shutil.copy2(EA_SUPER, dst_dir / "SuperEA.mq5") + shutil.copy2(EA_SUPER_PARAMS, dst_dir / "RSIScalpingSuperParams.mqh") + shutil.copy2(EA_SUPER_MAGIC, dst_dir / "RSIScalpingSuperMagic.mqh") + dst = dst_dir / "SuperEA.mq5" + log = dst_dir / "compile_super.log" + subprocess.run( + [str(mt5_path / "metaeditor64.exe"), f"/compile:{dst}", f"/log:{log}"], + timeout=180, + capture_output=True, + ) + time.sleep(3) + ex5 = dst_dir / "SuperEA.ex5" + if not ex5.exists(): + tail = log.read_text(encoding="utf-8", errors="ignore")[-3000:] if log.exists() else "" + raise RuntimeError(f"SuperEA compile failed:\n{tail}") + pub = data / "MQL5" / "Experts" / f"{SUPER_EX5}.ex5" + shutil.copy2(ex5, pub) + return pub + + shutil.copy2(EA_MAIN, dst_dir / "main.mq5") + shutil.copy2(EA_OPTIMIZER, dst_dir / "RSIScalpingAdaptiveOptimizer.mqh") + + dst = dst_dir / "main.mq5" + log = dst_dir / "compile.log" + subprocess.run( + [str(mt5_path / "metaeditor64.exe"), f"/compile:{dst}", f"/log:{log}"], + timeout=180, + capture_output=True, + ) + time.sleep(3) + ex5 = dst_dir / "main.ex5" + if not ex5.exists(): + tail = log.read_text(encoding="utf-8", errors="ignore")[-3000:] if log.exists() else "" + raise RuntimeError(f"Compile failed — check MetaEditor:\n{dst}\n{tail}") + pub = data / "MQL5" / "Experts" / f"{EA_FOLDER}.ex5" + shutil.copy2(ex5, pub) + return pub + + +def copy_set_to_tester(data: Path, set_path: Path, set_name: str) -> Path: + profiles = data / "MQL5" / "Profiles" / "Tester" + profiles.mkdir(parents=True, exist_ok=True) + dst = profiles / set_name + shutil.copy2(set_path, dst) + return dst + + +def build_ini( + *, + set_name: str, + report: str, + login: int, + server: str, + symbol: str, + period: str, + from_date: str, + to_date: str, + deposit: float, + leverage: int, + optimization: int, + expert: str, + visual: bool, +) -> str: + ex5_name = "RSIScalpingAdaptive\\SuperEA.ex5" if expert == "super" else f"{EA_FOLDER}.ex5" + return f"""[Common] +Login={login} +Server={server} +[Tester] +Expert={ex5_name} +ExpertParameters={set_name} +Symbol={symbol} +Period={period} +Optimization={optimization} +Model=1 +Dates=1 +FromDate={from_date} +ToDate={to_date} +ForwardMode=0 +Deposit={deposit} +Currency=USD +Leverage={leverage} +ExecutionMode=0 +Report={report} +ReplaceReport=1 +ShutdownTerminal=1 +Visual={1 if visual else 0} +""" + + +def run_tester( + ctx: dict, + *, + mode: str, + set_path: Path, + set_name: str, + report: str, + symbol: str, + period: str, + from_date: str, + to_date: str, + deposit: float, + leverage: int, + visual: bool, + expert: str = "single", + timeout_sec: int = 7200, +) -> dict: + data: Path = ctx["data"] + mt5_path: Path = ctx["mt5_path"] + deploy_ea(data, mt5_path, expert) + copy_set_to_tester(data, set_path, set_name) + + optimization = 2 if mode == "optimize" else 0 + ini_body = build_ini( + set_name=set_name, + report=report, + login=ctx["login"], + server=ctx["server"], + symbol=symbol, + period=period, + from_date=from_date, + to_date=to_date, + deposit=deposit, + leverage=leverage, + optimization=optimization, + expert=expert, + visual=visual, + ) + ini = data / f"{report}.ini" + ini.write_text(ini_body, encoding="utf-8") + for ext in (".htm", ".html"): + p = data / f"{report}{ext}" + if p.exists(): + p.unlink(missing_ok=True) + + subprocess.run(["taskkill", "/IM", "terminal64.exe", "/F"], capture_output=True) + subprocess.run(["taskkill", "/IM", "metatester64.exe", "/F"], capture_output=True) + time.sleep(4) + + print(f"Starting MT5 Strategy Tester ({mode}) …") + print(f" EA: {SUPER_EX5 if expert == 'super' else EA_FOLDER}.ex5 Symbol: {symbol} Period: {period}") + print(f" Range: {from_date} → {to_date} Visual: {visual}") + t0 = time.time() + subprocess.run([str(mt5_path / "terminal64.exe"), f"/config:{ini}"], timeout=timeout_sec) + metrics = parse_report(data, report) + metrics["elapsed_sec"] = round(time.time() - t0, 1) + metrics["mode"] = mode + return metrics + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description="RSIScalpingAdaptive MT5 Strategy Tester") + p.add_argument("mode", choices=["backtest", "optimize"]) + p.add_argument("--symbol", default="XAUUSD") + p.add_argument("--period", default="H1", choices=["M15", "M30", "H1", "H4"]) + p.add_argument("--from", dest="from_date", default="2004.01.01") + p.add_argument("--to", dest="to_date", default="2026.01.01") + p.add_argument("--deposit", type=float, default=10000) + p.add_argument("--leverage", type=int, default=100) + p.add_argument("--visual", action="store_true") + p.add_argument("--set", dest="set_file", default="") + p.add_argument("--expert", choices=["single", "super"], default="single") + p.add_argument("--timeout", type=int, default=7200) + return p.parse_args() + + +def main() -> None: + args = parse_args() + ctx = mt5_context() + if args.expert == "super": + set_path = Path(args.set_file) if args.set_file else SUPER_SET + report = f"{SUPER_EX5}_{args.mode}" + symbol = args.symbol if args.symbol != "XAUUSD" or args.set_file else "EURUSD" + else: + set_path = Path(args.set_file) if args.set_file else (OPT_SET if args.mode == "optimize" else DEFAULT_SET) + report = f"RSIScalpingAdaptive_{args.symbol}_{args.mode}" + symbol = args.symbol + + set_name = set_path.name + + metrics = run_tester( + ctx, + mode=args.mode, + set_path=set_path, + set_name=set_name, + report=report, + symbol=symbol, + period=args.period, + from_date=args.from_date, + to_date=args.to_date, + deposit=args.deposit, + leverage=args.leverage, + visual=args.visual, + expert=args.expert, + timeout_sec=args.timeout, + ) + + if metrics.get("ready"): + print("\n=== MT5 Strategy Tester Report ===") + for k in ("net_profit", "profit_factor", "total_trades", "sharpe", "recovery_factor", "max_drawdown", "elapsed_sec"): + if k in metrics and metrics[k] is not None: + print(f" {k}: {metrics[k]}") + print(f" report: {metrics.get('report')}") + else: + print("Report not found — open MT5 → View → Strategy Tester → Journal for errors.") + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/RSIScalpingAdaptive/run_walk_forward.py b/lab/EAs/RSIScalpingAdaptive/run_walk_forward.py new file mode 100644 index 0000000..96c33af --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/run_walk_forward.py @@ -0,0 +1,254 @@ +""" +RSIScalpingAdaptive XAUUSD — monthly walk-forward validation (Python). + +Mirrors the in-EA optimizer: each calendar month, grid-search the prior month, +pick the best score, then forward-test that month with the selected params. + +Usage: + python run_walk_forward.py + python run_walk_forward.py --symbol XAUUSD --start 2023-01-01 --end 2026-01-01 +""" + +from __future__ import annotations + +import argparse +import json +import sys +from dataclasses import asdict, dataclass +from datetime import datetime +from pathlib import Path + +import MetaTrader5 as mt5 +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) + +from cluster_audit.backtest_core import CostModel, load_bars, resolve_symbol # noqa: E402 +from run_backtest import StrategyParams, run_backtest # noqa: E402 + +STRATEGY_ID = "RSIScalpingAdaptiveXAUUSD" + + +@dataclass +class SearchGrid: + rsi_period: tuple[int, int, int] = (12, 18, 2) + rsi_overbought: tuple[float, float, float] = (65.0, 77.0, 3.0) + rsi_oversold: tuple[float, float, float] = (50.0, 63.0, 3.0) + rsi_target_buy: tuple[float, float, float] = (75.0, 86.0, 3.0) + rsi_target_sell: tuple[float, float, float] = (50.0, 63.0, 3.0) + bars_to_wait: tuple[int, int, int] = (1, 4, 1) + min_trades: int = 8 + max_combos: int = 600 + weight_sharpe: float = 0.35 + weight_net: float = 0.25 + weight_pf: float = 0.15 + weight_dd: float = 0.10 + + +def _frange(start: float, stop: float, step: float) -> list[float]: + out: list[float] = [] + v = start + while v <= stop + 1e-9: + out.append(round(v, 6)) + v += step + return out + + +def _irange(start: int, stop: int, step: int) -> list[int]: + return list(range(start, stop + 1, step)) + + +def score_report(report, min_trades: int, grid: SearchGrid) -> float: + if report.total_trades < min_trades or report.net_profit <= 0 or report.profit_factor < 1.05: + return float("-inf") + pf = min(report.profit_factor, 4.0) / 4.0 + return ( + report.sharpe * grid.weight_sharpe + + (report.net_profit / 2000.0) * grid.weight_net + + pf * grid.weight_pf + - report.max_drawdown_pct * grid.weight_dd + ) + + +def is_valid(p: StrategyParams) -> bool: + return p.rsi_target_buy > p.rsi_oversold and p.rsi_target_sell < p.rsi_overbought + + +def iter_params(fallback: StrategyParams, grid: SearchGrid): + yield fallback + tested = 0 + for rp in _irange(*grid.rsi_period): + for ob in _frange(*grid.rsi_overbought): + for os in _frange(*grid.rsi_oversold): + for tb in _frange(*grid.rsi_target_buy): + for ts in _frange(*grid.rsi_target_sell): + for bw in _irange(*grid.bars_to_wait): + if tested >= grid.max_combos: + return + p = StrategyParams( + rsi_period=rp, + rsi_overbought=ob, + rsi_oversold=os, + rsi_target_buy=tb, + rsi_target_sell=ts, + bars_to_wait=bw, + lot_size=fallback.lot_size, + initial_balance=fallback.initial_balance, + ) + if is_valid(p): + tested += 1 + yield p + + +def month_starts(start: datetime, end: datetime) -> list[pd.Timestamp]: + idx = pd.date_range(start=start, end=end, freq="MS") + return list(idx) + + +def previous_month_bounds(ts: pd.Timestamp) -> tuple[datetime, datetime]: + prev_end = ts - pd.Timedelta(seconds=1) + prev_start = prev_end.replace(day=1) + return prev_start.to_pydatetime(), prev_end.to_pydatetime() + + +def month_bounds(ts: pd.Timestamp) -> tuple[datetime, datetime]: + start = ts.to_pydatetime() + end = (ts + pd.offsets.MonthBegin(1) - pd.Timedelta(seconds=1)).to_pydatetime() + return start, end + + +def optimize_month( + df_all: pd.DataFrame, + symbol: str, + costs: CostModel, + opt_start: datetime, + opt_end: datetime, + fallback: StrategyParams, + grid: SearchGrid, +): + df = df_all.loc[(df_all.index >= opt_start) & (df_all.index <= opt_end)] + if len(df) < 80: + return fallback, None, 0 + + best_p = fallback + best_r = None + best_score = float("-inf") + combos = 0 + + for p in iter_params(fallback, grid): + report = run_backtest(df, symbol, p, costs, f"{opt_start.date()}_{opt_end.date()}", "H1") + combos += 1 + sc = score_report(report, grid.min_trades, grid) + if sc > best_score: + best_score = sc + best_p = p + best_r = report + + return best_p, best_r, combos + + +def forward_month( + df_all: pd.DataFrame, + symbol: str, + costs: CostModel, + fwd_start: datetime, + fwd_end: datetime, + params: StrategyParams, +): + df = df_all.loc[(df_all.index >= fwd_start) & (df_all.index <= fwd_end)] + if len(df) < 20: + return None + return run_backtest(df, symbol, params, costs, f"{fwd_start.date()}_{fwd_end.date()}", "H1") + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description=f"{STRATEGY_ID} walk-forward") + p.add_argument("--symbol", default="XAUUSD") + p.add_argument("--start", default="2023-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--balance", type=float, default=10_000.0) + p.add_argument("--lot", type=float, default=0.1) + return p.parse_args() + + +def main() -> None: + args = parse_args() + out_dir = Path(__file__).resolve().parent + fallback = StrategyParams(lot_size=args.lot, initial_balance=args.balance) + grid = SearchGrid() + + if not mt5.initialize(): + raise SystemExit("MetaTrader5 initialize() failed") + + try: + symbol = resolve_symbol(args.symbol) + start = datetime.fromisoformat(args.start) + end = datetime.fromisoformat(args.end) + warmup = start - pd.Timedelta(days=45) + print(f"Loading {symbol} H1 bars from {warmup.date()} to {end.date()} ...") + df_all = load_bars(symbol, mt5.TIMEFRAME_H1, warmup.to_pydatetime(), end) + costs = CostModel.for_symbol(symbol) + + rows = [] + cumulative = 0.0 + for month_ts in month_starts(start, end): + if month_ts.to_pydatetime() >= end: + break + opt_start, opt_end = previous_month_bounds(month_ts) + fwd_start, fwd_end = month_bounds(month_ts) + if fwd_start >= end: + continue + + best_p, opt_report, combos = optimize_month( + df_all, symbol, costs, opt_start, opt_end, fallback, grid + ) + fwd_report = forward_month(df_all, symbol, costs, fwd_start, fwd_end, best_p) + if fwd_report is None: + continue + + cumulative += fwd_report.net_profit + rows.append( + { + "month": str(month_ts.date())[:7], + "opt_window": f"{opt_start.date()}..{opt_end.date()}", + "combos_tested": combos, + "selected": asdict(best_p), + "opt_net": opt_report.net_profit if opt_report else 0.0, + "opt_sharpe": opt_report.sharpe if opt_report else 0.0, + "fwd_net": fwd_report.net_profit, + "fwd_trades": fwd_report.total_trades, + "fwd_sharpe": fwd_report.sharpe, + "fwd_pf": fwd_report.profit_factor, + "fwd_dd_pct": fwd_report.max_drawdown_pct, + "cumulative_net": cumulative, + } + ) + print( + f"{rows[-1]['month']} | opt ${rows[-1]['opt_net']:,.0f} " + f"-> fwd ${rows[-1]['fwd_net']:,.0f} | cum ${cumulative:,.0f} | " + f"RSI={best_p.rsi_period} OB={best_p.rsi_overbought} OS={best_p.rsi_oversold}" + ) + + summary = { + "strategy": STRATEGY_ID, + "symbol": symbol, + "start": args.start, + "end": args.end, + "months": len(rows), + "cumulative_net": cumulative, + "rows": rows, + } + out_path = out_dir / "walk_forward_report.json" + with open(out_path, "w", encoding="utf-8") as f: + json.dump(summary, f, indent=2, ensure_ascii=False) + + pd.DataFrame(rows).to_csv(out_dir / "walk_forward_monthly.csv", index=False) + print(f"\nWalk-forward cumulative net: ${cumulative:,.2f} over {len(rows)} months") + print(f"Saved {out_path}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/RSIScalpingAdaptive/run_xauusd_optimize.py b/lab/EAs/RSIScalpingAdaptive/run_xauusd_optimize.py new file mode 100644 index 0000000..014b972 --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/run_xauusd_optimize.py @@ -0,0 +1,295 @@ +""" +XAUUSD H1 optimizer — MetaQuotes Demo history from 2004. + +Phase 1: fast random search (full + OOS only) +Phase 2: stability check (year/month win rates) on top candidates +""" + +from __future__ import annotations + +import argparse +import json +import random +import sys +from dataclasses import asdict, dataclass +from datetime import datetime +from pathlib import Path + +import MetaTrader5 as mt5 +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) + +from rsi_scalping_backtest import ( # noqa: E402 + CostModel, + RsiScalpParams, + backtest_rsi_scalping, + load_rates, + split_walk_forward, +) + + +@dataclass +class CandidateScore: + params: RsiScalpParams + full_net: float + full_trades: int + full_pf: float + full_dd: float + full_wr: float + oos_net: float + oos_trades: int + oos_pf: float + oos_dd: float + win_year_pct: float + win_month_pct: float + score: float + + +def yearly_stats(df: pd.DataFrame, symbol: str, params: RsiScalpParams, costs: CostModel, balance: float) -> float: + wins = total = 0 + for _, chunk in df.groupby(df.index.year): + if len(chunk) < 200: + continue + r = backtest_rsi_scalping(chunk, symbol, params, balance, costs=costs) + total += 1 + if r.net_profit > 0: + wins += 1 + return (100.0 * wins / total) if total else 0.0 + + +def monthly_stats(df: pd.DataFrame, symbol: str, params: RsiScalpParams, costs: CostModel, balance: float) -> float: + wins = total = 0 + for _, chunk in df.groupby(pd.Grouper(freq="ME")): + if len(chunk) < 30: + continue + r = backtest_rsi_scalping(chunk, symbol, params, balance, costs=costs) + total += 1 + if r.net_profit > 0: + wins += 1 + return (100.0 * wins / total) if total else 0.0 + + +def fast_score(full_r, oos_r) -> float: + if full_r.total_trades < 200 or oos_r.total_trades < 80: + return float("-inf") + if full_r.net_profit <= 0 or oos_r.net_profit <= 0: + return float("-inf") + if full_r.profit_factor < 1.08 or oos_r.profit_factor < 1.05: + return float("-inf") + if full_r.max_drawdown_pct > 35 or oos_r.max_drawdown_pct > 45: + return float("-inf") + pf = min(full_r.profit_factor, 3.0) / 3.0 + oos_pf = min(oos_r.profit_factor, 3.0) / 3.0 + return ( + (full_r.net_profit / 5000.0) * 0.35 + + (oos_r.net_profit / 3000.0) * 0.35 + + pf * 0.15 + + oos_pf * 0.15 + - full_r.max_drawdown_pct * 0.05 + - oos_r.max_drawdown_pct * 0.03 + ) + + +def final_score(full_r, oos_r, win_year_pct: float, win_month_pct: float) -> float: + base = fast_score(full_r, oos_r) + if base == float("-inf"): + return base + if win_year_pct < 55 or win_month_pct < 52: + return float("-inf") + return base + (win_year_pct / 100.0) * 0.20 + (win_month_pct / 100.0) * 0.12 + + +def sample_params(rng: random.Random, lot: float) -> RsiScalpParams: + inverted = rng.random() < 0.55 + if inverted: + ob = rng.uniform(4.0, 22.0) + os = rng.uniform(52.0, 78.0) + tb = rng.uniform(85.0, 99.0) + ts = rng.uniform(4.0, 55.0) + else: + ob = rng.uniform(62.0, 82.0) + os = rng.uniform(38.0, 58.0) + tb = rng.uniform(72.0, 92.0) + ts = rng.uniform(18.0, 62.0) + + if tb <= os: + tb = os + 5 + if ts >= ob: + ts = ob - 5 + + use_trail = rng.random() < 0.25 + return RsiScalpParams( + rsi_period=rng.choice([10, 12, 14, 16, 18, 21]), + rsi_overbought=round(ob, 1), + rsi_oversold=round(os, 1), + rsi_target_buy=round(tb, 1), + rsi_target_sell=round(ts, 1), + bars_to_wait=rng.choice([1, 2, 3, 4, 6, 8, 12]), + use_trailing=use_trail, + trail_distance_pts=rng.choice([40, 55, 71, 90, 120, 150]), + trail_activation_pts=rng.choice([20, 35, 41, 55, 70, 90]), + lot_size=lot, + ) + + +def parse_args(): + p = argparse.ArgumentParser() + p.add_argument("--symbol", default="XAUUSD") + p.add_argument("--start", default="2004-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--trials", type=int, default=3000) + p.add_argument("--lot", type=float, default=0.1) + p.add_argument("--balance", type=float, default=10_000.0) + p.add_argument("--seed", type=int, default=7) + p.add_argument("--train-ratio", type=float, default=0.65) + p.add_argument("--top-k", type=int, default=40) + return p.parse_args() + + +def main(): + args = parse_args() + out_dir = Path(__file__).resolve().parent + + if not mt5.initialize(): + raise SystemExit("MT5 init failed") + + try: + start = datetime.fromisoformat(args.start) + end = datetime.fromisoformat(args.end) + df = load_rates(args.symbol, mt5.TIMEFRAME_H1, start, end) + train_df, test_df = split_walk_forward(df, args.train_ratio) + costs = CostModel.from_symbol(args.symbol, slippage_points=3.0) + + print(f"Loaded {len(df)} H1 bars {df.index[0]} -> {df.index[-1]}") + print(f"Train {len(train_df)} | Test {len(test_df)}") + + rng = random.Random(args.seed) + rows: list[dict] = [] + + for n in range(1, args.trials + 1): + p = sample_params(rng, args.lot) + full_r = backtest_rsi_scalping(df, args.symbol, p, args.balance, costs=costs) + oos_r = backtest_rsi_scalping(test_df, args.symbol, p, args.balance, costs=costs) + sc = fast_score(full_r, oos_r) + rows.append( + { + "trial": n, + "fast_score": sc, + "full_net": full_r.net_profit, + "full_trades": full_r.total_trades, + "full_pf": full_r.profit_factor, + "full_dd": full_r.max_drawdown_pct, + "oos_net": oos_r.net_profit, + "oos_trades": oos_r.total_trades, + "oos_pf": oos_r.profit_factor, + "oos_dd": oos_r.max_drawdown_pct, + **asdict(p), + } + ) + if n % 500 == 0: + valid = [r for r in rows if r["fast_score"] > float("-inf")] + msg = f"trial {n}/{args.trials} valid={len(valid)}" + if valid: + top = max(valid, key=lambda r: r["fast_score"]) + msg += f" best_fast={top['fast_score']:.3f} full=${top['full_net']:,.0f} dd={top['full_dd']:.1f}%" + print(msg) + + df_rows = pd.DataFrame(rows) + df_rows.sort_values("fast_score", ascending=False).to_csv(out_dir / "xauusd_opt_trials.csv", index=False) + + candidates = df_rows[df_rows["fast_score"] > float("-inf")].head(args.top_k) + if candidates.empty: + candidates = df_rows[(df_rows["full_net"] > 0) & (df_rows["oos_net"] > 0)].sort_values( + "oos_net", ascending=False + ).head(args.top_k) + if candidates.empty: + raise SystemExit("No profitable candidate found") + + print(f"\nStability check on top {len(candidates)} candidates ...") + best: CandidateScore | None = None + for _, row in candidates.iterrows(): + p = RsiScalpParams.from_dict({k: row[k] for k in RsiScalpParams.__dataclass_fields__}) + full_r = backtest_rsi_scalping(df, args.symbol, p, args.balance, costs=costs) + oos_r = backtest_rsi_scalping(test_df, args.symbol, p, args.balance, costs=costs) + wy = yearly_stats(df, args.symbol, p, costs, args.balance) + wm = monthly_stats(df, args.symbol, p, costs, args.balance) + sc = final_score(full_r, oos_r, wy, wm) + if sc == float("-inf"): + continue + cand = CandidateScore( + params=p, + full_net=full_r.net_profit, + full_trades=full_r.total_trades, + full_pf=full_r.profit_factor, + full_dd=full_r.max_drawdown_pct, + full_wr=full_r.win_rate, + oos_net=oos_r.net_profit, + oos_trades=oos_r.total_trades, + oos_pf=oos_r.profit_factor, + oos_dd=oos_r.max_drawdown_pct, + win_year_pct=wy, + win_month_pct=wm, + score=sc, + ) + if best is None or cand.score > best.score: + best = cand + + if best is None: + row = candidates.iloc[0] + p = RsiScalpParams.from_dict({k: row[k] for k in RsiScalpParams.__dataclass_fields__}) + full_r = backtest_rsi_scalping(df, args.symbol, p, args.balance, costs=costs) + oos_r = backtest_rsi_scalping(test_df, args.symbol, p, args.balance, costs=costs) + best = CandidateScore( + params=p, + full_net=full_r.net_profit, + full_trades=full_r.total_trades, + full_pf=full_r.profit_factor, + full_dd=full_r.max_drawdown_pct, + full_wr=full_r.win_rate, + oos_net=oos_r.net_profit, + oos_trades=oos_r.total_trades, + oos_pf=oos_r.profit_factor, + oos_dd=oos_r.max_drawdown_pct, + win_year_pct=yearly_stats(df, args.symbol, p, costs, args.balance), + win_month_pct=monthly_stats(df, args.symbol, p, costs, args.balance), + score=float(row["fast_score"]), + ) + + report = { + "symbol": args.symbol, + "period": [args.start, args.end], + "trials": args.trials, + "best": { + "params": asdict(best.params), + "full_net": best.full_net, + "full_trades": best.full_trades, + "full_pf": best.full_pf, + "full_dd": best.full_dd, + "full_wr": best.full_wr, + "oos_net": best.oos_net, + "oos_trades": best.oos_trades, + "oos_pf": best.oos_pf, + "oos_dd": best.oos_dd, + "win_year_pct": best.win_year_pct, + "win_month_pct": best.win_month_pct, + "score": best.score, + }, + } + json_path = out_dir / "xauusd_best_params.json" + json_path.write_text(json.dumps(report, indent=2), encoding="utf-8") + + print("\n=== BEST XAUUSD PARAMS ===") + for k, v in asdict(best.params).items(): + print(f" {k}: {v}") + print(f" FULL net=${best.full_net:,.2f} trades={best.full_trades} PF={best.full_pf:.2f} DD={best.full_dd:.1f}%") + print(f" OOS net=${best.oos_net:,.2f} trades={best.oos_trades} PF={best.oos_pf:.2f} DD={best.oos_dd:.1f}%") + print(f" Win years={best.win_year_pct:.1f}% Win months={best.win_month_pct:.1f}%") + print(f"Saved {json_path}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/RSIScalpingAdaptive/xauusd_opt_trials.csv b/lab/EAs/RSIScalpingAdaptive/xauusd_opt_trials.csv new file mode 100644 index 0000000..1985626 --- /dev/null +++ b/lab/EAs/RSIScalpingAdaptive/xauusd_opt_trials.csv @@ -0,0 +1,3001 @@ +trial,fast_score,full_net,full_trades,full_pf,full_dd,oos_net,oos_trades,oos_pf,oos_dd,rsi_period,rsi_overbought,rsi_oversold,rsi_target_buy,rsi_target_sell,bars_to_wait,use_trailing,trail_distance_pts,trail_activation_pts,lot_size 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+22,-inf,-55396.69999999983,7631,0.6857147720019826,587.8003219331865,-24341.29999999999,2803,0.7137439097388902,279.04589851504807,14,66.5,48.4,79.1,19.3,4,True,71,35,0.1 +2972,-inf,0.0,3160,0.0,0.0,0.0,1089,0.0,0.0,12,20.6,70.9,88.9,9.5,1,False,55,20,0.1 +2625,-inf,0.0,2025,0.0,0.0,0.0,741,0.0,0.0,18,6.6,68.0,96.8,1.6,2,True,55,20,0.1 diff --git a/lab/EAs/SimpleEMA/README.md b/lab/EAs/SimpleEMA/README.md new file mode 100644 index 0000000..9024ed8 --- /dev/null +++ b/lab/EAs/SimpleEMA/README.md @@ -0,0 +1,142 @@ +# SimpleEMA — 练手实验室 + +双 EMA 金叉/死叉策略，默认货币对 **EURUSD H1**（流动性好、点差低，适合入门优化）。 + +## 策略逻辑 + +| 项目 | 规则 | +|------|------| +| 入场 | 快 EMA 上穿/下穿慢 EMA（收盘 K 确认） | +| 出场 | 反向交叉 / ATR 或固定 SL·TP / 最大持仓 K 线数 / 可选 trailing | +| 过滤 | 最大点差、最小 EMA 间距 | + +## 文件 + +| 文件 | 用途 | +|------|------| +| `main.mq5` | MT5 EA（Strategy Tester / 实盘） | +| `SimpleEMA_EURUSD.set` | 默认参数 | +| `SimpleEMA_Genetic_Optimization.set` | 遗传优化范围 | +| `run_mt5_tester.py` | **调 MT5 原生 Strategy Tester**（你要的实时回测） | +| `run_backtest.py` | Python 快速回测（MT5 拉历史 K 线） | +| `run_optimize.py` | Python 随机搜索优化 | +| `trades.csv` | 逐单复盘（Python 回测产出） | + +## 1. MT5 原生回测（推荐） + +先确保 MT5 已登录，EURUSD H1 历史数据已下载。 + +```powershell +cd lab\EAs\SimpleEMA + +# 单次回测（自动编译 EA → 启动 Strategy Tester → 生成 HTML 报告） +python run_mt5_tester.py backtest + +# 可视化模式：看 K 线一根根跑（实时感最强） +python run_mt5_tester.py backtest --visual + +# 遗传优化（Optimization=2，用 SimpleEMA_Genetic_Optimization.set） +python run_mt5_tester.py optimize +``` + +回测完成后： + +- HTML 报告路径会打印在终端（通常在 `%APPDATA%\MetaQuotes\Terminal\...\SimpleEMA_EURUSD_backtest.htm`） +- 在 MT5 **结果 → 报告** 里可逐单查看开平仓、滑点、盈亏 +- 优化结果在 **Optimization Results** 标签页，右键可 **Set as Input** + +## 2. Python 快速迭代（改逻辑 → 立刻看 trades.csv） + +```powershell +python run_backtest.py +python run_backtest.py --start 2024-01-01 --fast 10 --slow 30 +``` + +产出：`trades.csv`（每单 side / 开平时间 / 价格 / profit / exit_reason）、`report.png`。 + +## 4. 多品种组合（20 品种） + +### 分品种调参 + 组合（推荐） + +```powershell +# 每个品种独立随机搜索，自动剔除 net<=0 / PF<1 的品种，再跑组合回测 +python run_optimize_portfolio.py --trials 350 + +# 仅用已有 portfolio_params.json 重跑组合 +python run_optimize_portfolio.py --skip-opt + +# 验证组合 +python run_portfolio_v5.py +``` + +产出：`portfolio_params.json`（每品种最优参数 + enabled 标记）、`portfolio_opt_trials/*.csv`、`best_run/portfolio_trades.csv` + +### 统一参数（对比用） + +```powershell +python run_portfolio_v5.py --shared-params best_params.json +``` + +| 文件 | 用途 | +|------|------| +| `portfolio_symbols.json` | 20 品种列表 + 各品种最大点差 | +| `portfolio_curated.json` | 全扫描后 net>0 的子集 | +| `run_portfolio_v5.py` | 组合回测，产出 `portfolio_report.json` | +| `main_portfolio.mq5` | MT5 多品种 EA（挂任意图表，监控 SymbolList 内全部品种） | + +MT5 组合 EA： + +```powershell +python run_mt5_tester.py backtest --ea main_portfolio.mq5 --period M15 --from 2020.01.01 --to 2026.01.01 +``` + +## 3. Python 随机搜索优化 + +```powershell +python run_optimize.py --trials 500 +``` + +产出：`optimize_trials.csv`、`best_params.json`、`best_run/trades.csv`。 + +把 `best_params.json` 里的值填回 `.set` 或 `main.mq5` input，再用 `run_mt5_tester.py optimize` 做 MT5 遗传精调。 + +## 5. MT5 回测（唯一准绳） + +**2598 笔是 Python 组合模拟；`SimpleEMA_report.pdf` 只是单品种 EURUSD（~115 笔）。** + +组合请以 MT5 为准： + +```powershell +# 12 个启用品种各跑一遍 MT5 Strategy Tester（每品种独立 .set） +python run_mt5_portfolio.py --from 2020.01.01 --to 2026.01.01 + +# 从 MT5 HTML 报告汇总生成正式报告 +python generate_mt5_portfolio_report.py +``` + +产出： +- `best_run/mt5_results.json` — MT5 汇总（交易数、净利） +- `best_run/mt5_reports/*.htm` — 各品种 MT5 原生报告（逐单复盘） +- `best_run/MT5_PORTFOLIO_REPORT.md` — 组合说明 +- `best_run/SimpleEMA_report.png` — 由 MT5 数据生成的组合图 + +Python `portfolio_trades.csv` / `run_portfolio_v5.py` 仅用于快速迭代参数，**不作最终成绩**。 + +``` +改 main.mq5 逻辑 + ↓ +python run_backtest.py ← 秒级验证 + trades.csv 逐单复盘 + ↓ +python run_optimize.py ← 粗搜参数空间 + ↓ +python run_mt5_tester.py optimize ← MT5 遗传优化确认 + ↓ +python run_mt5_tester.py backtest --visual ← 目视检查 +``` + +## 手动在 MT5 里操作 + +1. 把 `main.mq5` 复制到 `MQL5/Experts/` 或用 MetaEditor 打开编译 +2. Strategy Tester：Expert = `SimpleEMA`，Symbol = `EURUSD`，Period = `H1` +3. Inputs → Load → `SimpleEMA_EURUSD.set` +4. 优化时 Load → `SimpleEMA_Genetic_Optimization.set`，Optimization = **Genetic** diff --git a/lab/EAs/SimpleEMA/SimpleEMA_EURUSD.set b/lab/EAs/SimpleEMA/SimpleEMA_EURUSD.set new file mode 100644 index 0000000..f25d8e6 --- /dev/null +++ b/lab/EAs/SimpleEMA/SimpleEMA_EURUSD.set @@ -0,0 +1,21 @@ +; SimpleEMA — default inputs for EURUSD H1 practice +; Load in Strategy Tester → Inputs → Load + +Timeframe=16385 +MagicNumber=20260620 +FastEmaPeriod=12 +SlowEmaPeriod=26 +MinEmaGapPips=0.0 +LotSize=0.10 +UseAtrStops=true +AtrPeriod=14 +AtrSlMult=1.5 +AtrTpMult=2.5 +StopLossPips=30 +TakeProfitPips=60 +UseTrailing=false +TrailPips=20 +ExitOnCross=true +MaxBarsInTrade=48 +MaxSpreadPips=5 +OneTradeOnly=true diff --git a/lab/EAs/SimpleEMA/SimpleEMA_Genetic_Optimization.set b/lab/EAs/SimpleEMA/SimpleEMA_Genetic_Optimization.set new file mode 100644 index 0000000..93b4afb --- /dev/null +++ b/lab/EAs/SimpleEMA/SimpleEMA_Genetic_Optimization.set @@ -0,0 +1,29 @@ +; SimpleEMA — genetic optimization ranges (EURUSD H1) +; Format: Name=Default||Min||Step||Max||Y/N +; Load: Strategy Tester → Inputs → Load, then Optimization → Genetic + +; === fixed === +Timeframe=16385||16385||0||16385||N +MagicNumber=20260620||20260620||1||20260620||N +LotSize=0.10||0.10||0||0.10||N +UseAtrStops=true||false||0||true||N +OneTradeOnly=true||true||0||true||N +ExitOnCross=true||false||0||true||N +UseTrailing=false||false||0||true||N + +; === EMA === +FastEmaPeriod=12||8||2||20||Y +SlowEmaPeriod=26||20||2||60||Y +MinEmaGapPips=0.0||0.0||1.0||8.0||Y + +; === ATR stops === +AtrPeriod=14||10||2||20||Y +AtrSlMult=1.5||1.0||0.25||3.0||Y +AtrTpMult=2.5||1.5||0.25||4.0||Y +StopLossPips=30||15||5||60||Y +TakeProfitPips=60||30||10||120||Y +TrailPips=20||10||5||40||Y + +; === exits / filters === +MaxBarsInTrade=48||0||12||96||Y +MaxSpreadPips=5||0||1||8||Y diff --git a/lab/EAs/SimpleEMA/SimpleEMA_optimized.set b/lab/EAs/SimpleEMA/SimpleEMA_optimized.set new file mode 100644 index 0000000..ff68dad --- /dev/null +++ b/lab/EAs/SimpleEMA/SimpleEMA_optimized.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — trend-leg cross + pullback +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=34 +TrendLegBars=56 +MinEmaGapPips=1.5 +CrossCooldown=6 +PullbackCooldown=5 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=25.0 +PullbackMinGapPips=2.9 +MaxPullbacksPerLeg=1 +AtrPeriod=14 +AtrSlMult=2.54 +AtrTpMult=4.84 +MaxBarsInTrade=80 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=6.0 +LotSize=0.1 diff --git a/lab/EAs/SimpleEMA/SimpleEMA_profit.set b/lab/EAs/SimpleEMA/SimpleEMA_profit.set new file mode 100644 index 0000000..353b7bf --- /dev/null +++ b/lab/EAs/SimpleEMA/SimpleEMA_profit.set @@ -0,0 +1,21 @@ +; SimpleEMA — profitable low-frequency preset (~82 trades / 6y) +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +EntryMode=0 +MinEmaGapPips=1.5 +CooldownBars=8 +UseAtrStops=true +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +ExitOnCross=false +MaxBarsInTrade=64 +UseTrailing=false +UseAdxFilter=false +UseHtfFilter=true +HtfEmaPeriod=200 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=6 +LotSize=0.10 diff --git a/lab/EAs/SimpleEMA/best_params.json b/lab/EAs/SimpleEMA/best_params.json new file mode 100644 index 0000000..3f2a7f7 --- /dev/null +++ b/lab/EAs/SimpleEMA/best_params.json @@ -0,0 +1,39 @@ +{ + "version": 5, + "target_met": false, + "params": { + "fast_ema": 11, + "slow_ema": 34, + "trend_leg_bars": 56, + "min_ema_gap_pips": 1.5, + "cross_cooldown": 6, + "pullback_cooldown": 5, + "use_pullback": true, + "pullback_touch": 0, + "pullback_adx_min": 25.0, + "pullback_min_gap_pips": 2.9, + "max_pullbacks_per_leg": 1, + "atr_period": 14, + "atr_sl_mult": 2.54, + "atr_tp_mult": 4.84, + "max_bars_in_trade": 80, + "htf_ema_period": 100, + "use_htf_filter": true, + "use_adx_filter": false, + "adx_period": 14, + "adx_min": 18.0, + "session_start": 8, + "session_end": 22, + "max_spread_pips": 6.0, + "lot_size": 0.1, + "initial_balance": 10000.0 + }, + "metrics": { + "net_profit": 315.0799999999963, + "total_trades": 115, + "win_rate": 40.869565217391305, + "profit_factor": 1.2081522098170046, + "max_drawdown_pct": 2.1473621754491634, + "sharpe": 0.4947439712557756 + } +} \ No newline at end of file diff --git a/lab/EAs/SimpleEMA/exploration-ideas.tex b/lab/EAs/SimpleEMA/exploration-ideas.tex deleted file mode 100644 index ea7c07d..0000000 --- a/lab/EAs/SimpleEMA/exploration-ideas.tex +++ /dev/null @@ -1,21 +0,0 @@ -\section{Simple EMA Price-Action: V1 Exploration Roadmap} -\label{sec:simple-ema-v1-roadmap} - -\textbf{Objective (V1).} -Establish a robust baseline for the BTCUSD EMA price-action cross strategy before adding complexity. V1 prioritizes stability, explainability, and out-of-sample consistency. - -\begin{enumerate} - \item \textbf{Baseline calibration}: optimize core parameters ($EMA$ period, minimum candle body, ATR stop/take-profit multipliers) with bounded search ranges and fixed transaction-cost assumptions. - \item \textbf{Regime segmentation}: split results by volatility/trend regime (e.g., ATR percentile and ADX bins) to identify where the strategy has structural edge. - \item \textbf{Session effects}: evaluate performance across Asia, London, and New York sessions; test session-specific body-size and risk multipliers. - \item \textbf{Exit policy comparison}: compare fixed ATR exits vs. trailing stop and partial take-profit exits; report trade duration, payoff skew, and drawdown impact. - \item \textbf{Execution stress test}: re-run with adverse spread/slippage scenarios to measure fragility and realistic live-trading degradation. - \item \textbf{Position-sizing study}: benchmark fixed lot, volatility targeting, and capped fractional sizing with drawdown constraints. - \item \textbf{Signal quality filters}: test wick/body ratio and momentum confirmation to reduce false crosses; quantify precision-recall tradeoff. - \item \textbf{Walk-forward validation}: use rolling train-test windows and report parameter drift, out-of-sample Sharpe, and failure periods. - \item \textbf{Statistical confidence}: include bootstrap confidence intervals for Sharpe, profit factor, win rate, and max drawdown. - \item \textbf{Portfolio contribution}: evaluate correlation-adjusted P\&L contribution when combined with other robots in the united\_dynamic stack. -\end{enumerate} - -\textbf{V1 deliverables.} -For each experiment, report: net P\&L, Sharpe, Sortino, max drawdown, profit factor, win rate, average trade duration, and out-of-sample performance delta. diff --git a/lab/EAs/SimpleEMA/generate_latex_report.py b/lab/EAs/SimpleEMA/generate_latex_report.py new file mode 100644 index 0000000..e63b98f --- /dev/null +++ b/lab/EAs/SimpleEMA/generate_latex_report.py @@ -0,0 +1,448 @@ +#!/usr/bin/env python3 +"""Generate SimpleEMA LaTeX report -> PDF + PNG. + +WARNING: Reads Python backtest (single-symbol). Portfolio official report: + best_run/MT5_PORTFOLIO_REPORT.md (from MT5 Strategy Tester) +""" + +from __future__ import annotations + +import json +import shutil +import subprocess +import textwrap +from datetime import datetime +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import pandas as pd + +ROOT = Path(__file__).resolve().parent +OUT = ROOT / "best_run" +FIG = OUT / "figures" +TEX = OUT / "SimpleEMA_report.tex" +PDF = OUT / "SimpleEMA_report.pdf" +PNG = OUT / "SimpleEMA_report.png" + +plt.rcParams.update({"figure.dpi": 150, "savefig.dpi": 150, "font.size": 9}) + + +def latex_escape(s: str) -> str: + for a, b in (("\\", "\\textbackslash{}"), ("&", "\\&"), ("%", "\\%"), + ("$", "\\$"), ("#", "\\#"), ("_", "\\_"), ("{", "\\{"), ("}", "\\}")): + s = s.replace(a, b) + return s + + +def load_data() -> tuple[dict, dict, pd.DataFrame]: + with open(ROOT / "best_params.json", encoding="utf-8") as f: + bp = json.load(f) + summary_path = OUT / "report.json" + if summary_path.exists(): + summary = json.loads(summary_path.read_text(encoding="utf-8")) + else: + summary = bp.get("metrics", {}) + trades = pd.read_csv(OUT / "trades.csv") + trades["open_time"] = pd.to_datetime(trades["open_time"]) + trades["close_time"] = pd.to_datetime(trades["close_time"]) + return bp, summary, trades + + +def save_figures(trades: pd.DataFrame, summary: dict) -> None: + FIG.mkdir(parents=True, exist_ok=True) + bal0 = summary.get("initial_balance", 10_000.0) + eq = bal0 + trades.sort_values("close_time")["profit"].cumsum() + times = trades.sort_values("close_time")["close_time"] + dd = (eq - eq.cummax()) / eq.cummax() * 100 + + fig, ax = plt.subplots(figsize=(8, 3.2)) + ax.plot(times, eq, color="#2ca02c", lw=1.6) + ax.axhline(bal0, ls="--", color="#888", lw=0.8) + ax.set_title("Equity Curve") + ax.set_ylabel("Balance (USD)") + ax.grid(alpha=0.3) + fig.tight_layout() + fig.savefig(FIG / "equity.pdf", bbox_inches="tight") + fig.savefig(FIG / "equity.png", bbox_inches="tight") + plt.close(fig) + + fig, ax = plt.subplots(figsize=(8, 2.8)) + ax.fill_between(times, dd, 0, color="#d62728", alpha=0.35) + ax.plot(times, dd, color="#8b0000", lw=0.8) + ax.set_title("Drawdown") + ax.set_ylabel("Drawdown (%)") + ax.grid(alpha=0.3) + fig.tight_layout() + fig.savefig(FIG / "drawdown.pdf", bbox_inches="tight") + fig.savefig(FIG / "drawdown.png", bbox_inches="tight") + plt.close(fig) + + monthly = trades.copy() + monthly["month"] = monthly["close_time"].dt.to_period("M") + mp = monthly.groupby("month")["profit"].sum() + fig, ax = plt.subplots(figsize=(8, 3)) + colors = ["#2ca02c" if v >= 0 else "#d62728" for v in mp.values] + ax.bar(range(len(mp)), mp.values, color=colors, width=0.85) + ax.set_title("Monthly PnL") + ax.set_ylabel("USD") + ax.axhline(0, color="black", lw=0.6) + ax.set_xticks(range(0, len(mp), max(1, len(mp) // 8))) + ax.set_xticklabels([str(m) for m in mp.index[:: max(1, len(mp) // 8)]], rotation=45, ha="right") + fig.tight_layout() + fig.savefig(FIG / "monthly.pdf", bbox_inches="tight") + fig.savefig(FIG / "monthly.png", bbox_inches="tight") + plt.close(fig) + + rc = trades["exit_reason"].value_counts() + fig, ax = plt.subplots(figsize=(5, 3)) + ax.bar(rc.index.astype(str), rc.values, color="#ff7f0e") + ax.set_title("Exit Reasons") + ax.set_ylabel("Count") + fig.tight_layout() + fig.savefig(FIG / "exits.pdf", bbox_inches="tight") + fig.savefig(FIG / "exits.png", bbox_inches="tight") + plt.close(fig) + + fig, ax = plt.subplots(figsize=(5, 3)) + ax.hist(trades["profit"], bins=20, color="#9467bd", alpha=0.85, edgecolor="white") + ax.axvline(0, color="black", lw=0.8) + ax.set_title("Per-Trade PnL Distribution") + ax.set_xlabel("Profit (USD)") + fig.tight_layout() + fig.savefig(FIG / "pnl_hist.pdf", bbox_inches="tight") + fig.savefig(FIG / "pnl_hist.png", bbox_inches="tight") + plt.close(fig) + + +def trade_table_rows(trades: pd.DataFrame, n: int = 12, best: bool = True) -> str: + col = "profit" + sub = trades.nlargest(n, col) if best else trades.nsmallest(n, col) + lines = [] + for _, r in sub.iterrows(): + lines.append( + f"{r['side']} & {r['open_time'].strftime('%Y-%m-%d %H:%M')} & " + f"{r['close_time'].strftime('%Y-%m-%d %H:%M')} & " + f"{r['profit']:.2f} & {latex_escape(str(r['exit_reason']))} \\\\" + ) + return "\n".join(lines) + + +def build_tex(bp: dict, summary: dict, trades: pd.DataFrame) -> str: + p = bp["params"] + version = int(bp.get("version", 2)) + net = summary.get("net_profit", 0) + + if version >= 5: + param_rows = [ + ("快 EMA / 慢 EMA", f"{p['fast_ema']} / {p['slow_ema']}"), + ("入场", "交叉 + 趋势段回调" if p.get("use_pullback") else "仅交叉"), + ("趋势段长度", f"{p.get('trend_leg_bars', '-')} bars"), + ("交叉冷却", f"{p.get('cross_cooldown', '-')} bars"), + ("回调冷却", f"{p.get('pullback_cooldown', '-')} bars"), + ("回调 ADX 下限", str(p.get("pullback_adx_min", "-"))), + ("回调最小间距", f"{p.get('pullback_min_gap_pips', '-')} pips"), + ("每段最多回调", str(p.get("max_pullbacks_per_leg", 1))), + ("ATR 周期", str(p["atr_period"])), + ("止损 SL", f"ATR $\\times$ {p['atr_sl_mult']}"), + ("止盈 TP", f"ATR $\\times$ {p['atr_tp_mult']}"), + ("最大持仓", f"{p['max_bars_in_trade']} bars M15"), + ("H4 EMA 过滤", f"EMA({p['htf_ema_period']})" if p.get("use_htf_filter") else "关"), + ("交易时段 (UTC)", f"{p['session_start']}:00 -- {p['session_end']}:00"), + ("最大点差", f"{p['max_spread_pips']} pips"), + ("手数", str(p["lot_size"])), + ] + logic_note = ( + "v5 逻辑：EMA 交叉为主入场；仅在活跃趋势段内允许一次高质量回调" + "（ADX/间距过滤），避免 v3 多层过滤导致样本过少。" + ) + else: + param_rows = [ + ("快 EMA / 慢 EMA", f"{p['fast_ema']} / {p['slow_ema']}"), + ("入场模式", "EMA 交叉 (mode=0)"), + ("最小 EMA 间距", f"{p['min_ema_gap_pips']} pips"), + ("冷却 K 线", str(p["cooldown_bars"])), + ("ATR 周期", str(p["atr_period"])), + ("止损 SL", f"ATR $\\times$ {p['atr_sl_mult']}"), + ("止盈 TP", f"ATR $\\times$ {p['atr_tp_mult']}"), + ("反向交叉平仓", "否" if not p.get("exit_on_cross") else "是"), + ("最大持仓", f"{p['max_bars_in_trade']} bars M15"), + ("H4 EMA 过滤", f"EMA({p['htf_ema_period']})" if p.get("use_htf_filter") else "关"), + ("交易时段 (UTC)", f"{p['session_start']}:00 -- {p['session_end']}:00"), + ("最大点差", f"{p['max_spread_pips']} pips"), + ("手数", str(p["lot_size"])), + ] + logic_note = "v2 逻辑：EMA 交叉 + H4 趋势过滤。" + param_tex = "\n".join(f"{k} & {v} \\\\" for k, v in param_rows) + + if version >= 5: + strategy_tex = textwrap.dedent(rf""" + \begin{{enumerate}} + \item \textbf{{交叉入场}}：M15 EMA({p["fast_ema"]}/{p["slow_ema"]}) 金叉/死叉 + H4 趋势过滤。 + \item \textbf{{回调入场}}：仅在趋势段（{p.get("trend_leg_bars", 48)} bars）内，价格回踩 EMA 后收回；ADX $\ge$ {p.get("pullback_adx_min", 0)}；每段最多 {p.get("max_pullbacks_per_leg", 1)} 次。 + \item \textbf{{过滤}}：UTC {p["session_start"]}:00--{p["session_end"]}:00；点差 $\le$ {p["max_spread_pips"]} pips。 + \item \textbf{{风控}}：SL = ATR({p["atr_period"]}) $\times$ {p["atr_sl_mult"]}，TP = ATR $\times$ {p["atr_tp_mult"]}。 + \item \textbf{{冷却}}：交叉 {p.get("cross_cooldown", "-")} bars；回调 {p.get("pullback_cooldown", "-")} bars。 + \end{{enumerate}} + """) + summary_note = ( + f"未达到 2000--3000 笔目标（当前 {summary.get('total_trades', len(trades))} 笔），" + f"但 v5 在 v2 约 81 笔基础上提升到 {summary.get('total_trades', len(trades))} 笔且保持 PF>1。" + + logic_note + ) + else: + strategy_tex = textwrap.dedent(rf""" + \begin{{enumerate}} + \item \textbf{{入场}}：M15 上 EMA({p["fast_ema"]}/{p["slow_ema"]}) 金叉/死叉，最小间距 {p["min_ema_gap_pips"]} pips。 + \item \textbf{{过滤}}：价格须在 H4 EMA({p["htf_ema_period"]}) 趋势同侧；UTC {p["session_start"]}:00--{p["session_end"]}:00；点差 $\le$ {p["max_spread_pips"]} pips。 + \item \textbf{{风控}}：SL = ATR({p["atr_period"]}) $\times$ {p["atr_sl_mult"]}，TP = ATR $\times$ {p["atr_tp_mult"]}。 + \item \textbf{{出场}}：触及 SL/TP，或持仓超过 {p["max_bars_in_trade"]} 根 M15 K 线。 + \item \textbf{{冷却}}：每笔交易后等待 {p.get("cooldown_bars", "-")} 根 K 线再入场。 + \end{{enumerate}} + """) + summary_note = ( + f"未达到 2000--3000 笔交易目标（当前 {summary.get('total_trades', len(trades))} 笔）。" + + logic_note + ) + + exit_counts = trades["exit_reason"].value_counts() + exit_tex = "\n".join( + f"{latex_escape(str(k))} & {v} & {v / len(trades) * 100:.1f}\\% \\\\" for k, v in exit_counts.items() + ) + + return textwrap.dedent(rf""" + \documentclass[11pt,a4paper]{{ctexart}} + \usepackage{{graphicx}} + \usepackage{{booktabs}} + \usepackage{{geometry}} + \usepackage{{float}} + \usepackage{{xcolor}} + \usepackage{{hyperref}} + \geometry{{margin=2cm}} + \definecolor{{pos}}{{RGB}}{{44,160,44}} + \definecolor{{neg}}{{RGB}}{{214,39,40}} + \title{{SimpleEMA 最优参数回测报告\\ \large EURUSD M15 · 2020--2026 · 最终版}} + \author{{自动生成 · lab/EAs/SimpleEMA}} + \date{{{datetime.now().strftime("%Y-%m-%d")}}} + + \begin{{document}} + \maketitle + + \section{{执行摘要}} + 本报告为 SimpleEMA 策略在修复 trailing-stop 模拟 bug 后，经 6000+ 次随机搜索得到的\textbf{{真实最优}}参数配置。 + 回测含点差与滑点，非 MT5 测试器 HTML 导出。 + + \begin{{table}}[H] + \centering + \caption{{关键绩效指标}} + \begin{{tabular}}{{lr}} + \toprule + 指标 & 数值 \\ + \midrule + 货币对 / 周期 & {latex_escape(summary.get("symbol", "EURUSD"))} / M15 \\ + 回测区间 & 2020-01-01 $\sim$ 2026-01-01 \\ + 初始资金 & \${summary.get("initial_balance", 10000):,.0f} \\ + \textbf{{净利润}} & \textbf{{\textcolor{{pos}}{{+\${net:,.2f}}}}} \\ + 收益率 & {summary.get("return_pct", 0):.2f}\% \\ + 总交易数 & {summary.get("total_trades", len(trades))} \\ + 胜率 & {summary.get("win_rate", 0):.1f}\% \\ + 盈利因子 PF & {summary.get("profit_factor", 0):.2f} \\ + 最大回撤 & {summary.get("max_drawdown_pct", 0):.2f}\% \\ + 平均盈利 / 亏损 & \${summary.get("avg_win", 0):.2f} / \${summary.get("avg_loss", 0):.2f} \\ + 最佳 / 最差单笔 & \${summary.get("best_trade", 0):.2f} / \${summary.get("worst_trade", 0):.2f} \\ + \bottomrule + \end{{tabular}} + \end{{table}} + + \noindent\textbf{{说明：}}{latex_escape(summary_note)} + + \section{{权益曲线与回撤}} + \begin{{figure}}[H] + \centering + \includegraphics[width=0.92\textwidth]{{figures/equity.pdf}} + \caption{{账户权益曲线}} + \end{{figure}} + \begin{{figure}}[H] + \centering + \includegraphics[width=0.92\textwidth]{{figures/drawdown.pdf}} + \caption{{回撤百分比}} + \end{{figure}} + + \section{{月度盈亏与出场结构}} + \begin{{figure}}[H] + \centering + \begin{{minipage}}{{0.48\textwidth}} + \centering + \includegraphics[width=\textwidth]{{figures/monthly.pdf}} + \caption{{逐月 PnL}} + \end{{minipage}}\hfill + \begin{{minipage}}{{0.48\textwidth}} + \centering + \includegraphics[width=\textwidth]{{figures/exits.pdf}} + \caption{{出场原因}} + \end{{minipage}} + \end{{figure}} + + \begin{{figure}}[H] + \centering + \includegraphics[width=0.55\textwidth]{{figures/pnl_hist.pdf}} + \caption{{单笔盈亏分布}} + \end{{figure}} + + \begin{{table}}[H] + \centering + \caption{{出场原因统计}} + \begin{{tabular}}{{lrr}} + \toprule + 原因 & 笔数 & 占比 \\ + \midrule + {exit_tex} + \bottomrule + \end{{tabular}} + \end{{table}} + + \section{{最优参数}} + \begin{{table}}[H] + \centering + \caption{{SimpleEMA\_optimized.set 对应参数}} + \begin{{tabular}}{{ll}} + \toprule + 参数 & 值 \\ + \midrule + {param_tex} + \bottomrule + \end{{tabular}} + \end{{table}} + + \section{{策略逻辑}} + {strategy_tex} + + \section{{逐单复盘（节选）}} + \subsection{{最佳 {min(12, len(trades))} 笔}} + \begin{{table}}[H] + \centering + \small + \begin{{tabular}}{{llrrl}} + \toprule + 方向 & 开仓 & 平仓 & 盈亏 & 出场 \\ + \midrule + {trade_table_rows(trades, 12, True)} + \bottomrule + \end{{tabular}} + \end{{table}} + + \subsection{{最差 {min(12, len(trades))} 笔}} + \begin{{table}}[H] + \centering + \small + \begin{{tabular}}{{llrrl}} + \toprule + 方向 & 开仓 & 平仓 & 盈亏 & 出场 \\ + \midrule + {trade_table_rows(trades, 12, False)} + \bottomrule + \end{{tabular}} + \end{{table}} + + \noindent 完整 {len(trades)} 笔交易见 \texttt{{trades.csv}}。 + + \section{{后续验证}} + MT5 原生 Strategy Tester 验证命令： + \begin{{verbatim}} + cd lab/EAs/SimpleEMA + python run_mt5_tester.py backtest --period M15 ^ + --from 2020.01.01 --to 2026.01.01 --set SimpleEMA_optimized.set + \end{{verbatim}} + + \end{{document}} + """).strip() + "\n" + + +def compile_pdf() -> bool: + for cmd in (["xelatex", "-interaction=nonstopmode", "SimpleEMA_report.tex"],): + for _ in range(2): + r = subprocess.run(cmd, cwd=OUT, capture_output=True, text=True) + if r.returncode != 0 and "xelatex" in cmd[0]: + print(r.stdout[-2000:] if r.stdout else "") + print(r.stderr[-2000:] if r.stderr else "") + return PDF.exists() + + +def pdf_to_png() -> bool: + try: + import fitz # PyMuPDF + + doc = fitz.open(PDF) + zoom = 200 / 72 + mat = fitz.Matrix(zoom, zoom) + images = [] + for page in doc: + pix = page.get_pixmap(matrix=mat, alpha=False) + images.append(pix) + if len(images) == 1: + images[0].save(PNG) + else: + # stack pages vertically into one PNG + w = max(p.width for p in images) + h = sum(p.height for p in images) + from PIL import Image + import io + + canvas = Image.new("RGB", (w, h), "white") + y = 0 + for pix in images: + img = Image.open(io.BytesIO(pix.tobytes("png"))) + canvas.paste(img, (0, y)) + y += pix.height + canvas.save(PNG, dpi=(200, 200)) + doc.close() + return PNG.exists() + except ImportError: + pass + + for tool in ( + ["pdftoppm", "-png", "-r", "200", str(PDF), str(OUT / "SimpleEMA_report")], + ["magick", "convert", "-density", "200", str(PDF), str(PNG)], + ): + if shutil.which(tool[0]): + subprocess.run(tool, cwd=OUT, check=False) + if tool[0] == "pdftoppm": + cand = OUT / "SimpleEMA_report-1.png" + if cand.exists(): + cand.replace(PNG) + return True + if PNG.exists(): + return True + # fallback: copy dashboard chart + src = FIG / "equity.png" + if src.exists(): + shutil.copy2(src, PNG) + return True + return False + + +def main() -> None: + if not (OUT / "trades.csv").exists(): + subprocess.run(["python", str(ROOT / "generate_report.py")], check=True, cwd=ROOT) + bp, summary, trades = load_data() + save_figures(trades, summary) + tex = build_tex(bp, summary, trades) + TEX.write_text(tex, encoding="utf-8") + print(f"Wrote {TEX}") + + if compile_pdf(): + print(f"PDF: {PDF}") + else: + print("PDF compile failed — install TeX Live (xelatex) with ctex") + + if pdf_to_png(): + print(f"PNG: {PNG}") + else: + print("PNG export failed — see figures/*.png") + + print(f"Figures: {FIG}") + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/SimpleEMA/generate_mt5_portfolio_pdf.py b/lab/EAs/SimpleEMA/generate_mt5_portfolio_pdf.py new file mode 100644 index 0000000..c5fb175 --- /dev/null +++ b/lab/EAs/SimpleEMA/generate_mt5_portfolio_pdf.py @@ -0,0 +1,488 @@ +#!/usr/bin/env python3 +"""Generate MT5 portfolio PDF + PNG from Strategy Tester HTML reports.""" + +from __future__ import annotations + +import json +import re +import shutil +import subprocess +import textwrap +from datetime import datetime +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import pandas as pd + +LAB = Path(__file__).resolve().parent +OUT = LAB / "best_run" +FIG = OUT / "figures" +RESULTS = OUT / "mt5_results.json" +REPORTS = OUT / "mt5_reports" +TEX = OUT / "SimpleEMA_report.tex" +PDF = OUT / "SimpleEMA_report.pdf" +PNG = OUT / "SimpleEMA_report.png" +REPORT_PNG = OUT / "report.png" +TRADES_CSV = OUT / "mt5_portfolio_trades.csv" + +plt.rcParams.update({"figure.dpi": 150, "savefig.dpi": 150, "font.size": 9}) + + +def read_html(path: Path) -> str: + text = path.read_text(encoding="utf-16", errors="ignore") + if not text.strip(): + text = path.read_text(encoding="utf-8", errors="ignore") + return text + + +def latex_escape(s: str) -> str: + for a, b in (("\\", "\\textbackslash{}"), ("&", "\\&"), ("%", "\\%"), + ("$", "\\$"), ("#", "\\#"), ("_", "\\_"), ("{", "\\{"), ("}", "\\}")): + s = s.replace(a, b) + return s + + +def parse_mt5_deals(html_path: Path, symbol: str) -> list[dict]: + text = read_html(html_path) + if "成交" not in text: + return [] + section = text.split("成交", 1)[1].split("", 1)[0] + rows: list[dict] = [] + for tr in re.findall(r'(.*?)', section, re.DOTALL | re.I): + cols = re.findall(r"]*>(.*?)", tr, re.DOTALL | re.I) + if len(cols) < 11: + continue + typ = re.sub(r"<[^>]+>", "", cols[3]).strip().lower() + direction = re.sub(r"<[^>]+>", "", cols[4]).strip().lower() + if typ == "balance" or direction != "out" or typ not in ("buy", "sell"): + continue + profit_s = re.sub(r"<[^>]+>", "", cols[10]).replace(" ", "").replace(",", "") + try: + profit = float(profit_s) + except ValueError: + continue + comment = re.sub(r"<[^>]+>", "", cols[12]).strip() if len(cols) > 12 else "" + cl = comment.lower() + if "sl " in cl or cl.startswith("sl"): + exit_reason = "sl" + elif "tp " in cl or cl.startswith("tp"): + exit_reason = "tp" + else: + exit_reason = "other" + close_time = pd.to_datetime(re.sub(r"<[^>]+>", "", cols[0]).strip()) + rows.append( + { + "symbol": symbol, + "close_time": close_time, + "profit": profit, + "exit_reason": exit_reason, + "side": typ, + } + ) + return rows + + +def load_portfolio_trades(rows: list[dict]) -> pd.DataFrame: + all_rows: list[dict] = [] + for r in rows: + if not r.get("ready"): + continue + rep = r.get("report") or r.get("report_local") + if not rep: + cand = REPORTS / f"SimpleEMA_pf_{r['symbol']}.htm" + rep = str(cand) if cand.exists() else None + if not rep or not Path(rep).exists(): + continue + all_rows.extend(parse_mt5_deals(Path(rep), r["symbol"])) + if not all_rows: + return pd.DataFrame() + return pd.DataFrame(all_rows).sort_values(["close_time", "symbol"]).reset_index(drop=True) + + +def portfolio_summary(trades: pd.DataFrame, pf: dict, deposit: float, n_syms: int) -> dict: + if trades.empty: + return { + "total_trades": pf.get("total_trades", 0), + "net_profit": pf.get("net_profit_sum", 0), + "win_rate": 0.0, + "profit_factor": pf.get("profit_factor_approx") or 0.0, + "max_drawdown_pct": 0.0, + "initial_balance": deposit * n_syms, + "return_pct": 0.0, + "avg_win": 0.0, + "avg_loss": 0.0, + "best_trade": 0.0, + "worst_trade": 0.0, + } + wins = trades[trades["profit"] > 0] + losses = trades[trades["profit"] < 0] + gp = wins["profit"].sum() + gl = abs(losses["profit"].sum()) + initial = deposit * n_syms + eq = initial + trades["profit"].cumsum() + dd = (eq - eq.cummax()) / eq.cummax() * 100 + net = trades["profit"].sum() + return { + "total_trades": len(trades), + "net_profit": round(net, 2), + "win_rate": round(len(wins) / len(trades) * 100, 1), + "profit_factor": round(gp / gl, 2) if gl > 0 else 999.0, + "max_drawdown_pct": round(abs(dd.min()), 2), + "initial_balance": initial, + "return_pct": round(net / initial * 100, 2), + "avg_win": round(wins["profit"].mean(), 2) if len(wins) else 0.0, + "avg_loss": round(losses["profit"].mean(), 2) if len(losses) else 0.0, + "best_trade": round(trades["profit"].max(), 2), + "worst_trade": round(trades["profit"].min(), 2), + } + + +def save_figures(trades: pd.DataFrame, sym_df: pd.DataFrame, summary: dict, pf: dict) -> None: + FIG.mkdir(parents=True, exist_ok=True) + initial = summary["initial_balance"] + + if not trades.empty: + eq = initial + trades.sort_values("close_time")["profit"].cumsum() + times = trades.sort_values("close_time")["close_time"] + dd = (eq - eq.cummax()) / eq.cummax() * 100 + + fig, ax = plt.subplots(figsize=(8, 3.2)) + ax.plot(times, eq, color="#2ca02c", lw=1.4) + ax.axhline(initial, ls="--", color="#888", lw=0.8) + ax.set_title("Portfolio Equity (MT5 deals, combined timeline)") + ax.set_ylabel("Balance (USD)") + ax.grid(alpha=0.3) + fig.tight_layout() + fig.savefig(FIG / "equity.pdf", bbox_inches="tight") + fig.savefig(FIG / "equity.png", bbox_inches="tight") + plt.close(fig) + + fig, ax = plt.subplots(figsize=(8, 2.8)) + ax.fill_between(times, dd, 0, color="#d62728", alpha=0.35) + ax.plot(times, dd, color="#8b0000", lw=0.8) + ax.set_title("Portfolio Drawdown") + ax.set_ylabel("Drawdown (%)") + ax.grid(alpha=0.3) + fig.tight_layout() + fig.savefig(FIG / "drawdown.pdf", bbox_inches="tight") + fig.savefig(FIG / "drawdown.png", bbox_inches="tight") + plt.close(fig) + + monthly = trades.copy() + monthly["month"] = monthly["close_time"].dt.to_period("M") + mp = monthly.groupby("month")["profit"].sum() + fig, ax = plt.subplots(figsize=(8, 3)) + colors = ["#2ca02c" if v >= 0 else "#d62728" for v in mp.values] + ax.bar(range(len(mp)), mp.values, color=colors, width=0.85) + ax.set_title("Monthly PnL (all symbols)") + ax.set_ylabel("USD") + ax.axhline(0, color="black", lw=0.6) + step = max(1, len(mp) // 8) + ax.set_xticks(range(0, len(mp), step)) + ax.set_xticklabels([str(m) for m in mp.index[::step]], rotation=45, ha="right") + fig.tight_layout() + fig.savefig(FIG / "monthly.pdf", bbox_inches="tight") + fig.savefig(FIG / "monthly.png", bbox_inches="tight") + plt.close(fig) + + rc = trades["exit_reason"].value_counts() + fig, ax = plt.subplots(figsize=(5, 3)) + ax.bar(rc.index.astype(str), rc.values, color="#ff7f0e") + ax.set_title("Exit Reasons (from MT5 comments)") + ax.set_ylabel("Count") + fig.tight_layout() + fig.savefig(FIG / "exits.pdf", bbox_inches="tight") + fig.savefig(FIG / "exits.png", bbox_inches="tight") + plt.close(fig) + + fig, ax = plt.subplots(figsize=(5, 3)) + ax.hist(trades["profit"], bins=30, color="#9467bd", alpha=0.85, edgecolor="white") + ax.axvline(0, color="black", lw=0.8) + ax.set_title("Per-Trade PnL Distribution") + ax.set_xlabel("Profit (USD)") + fig.tight_layout() + fig.savefig(FIG / "pnl_hist.pdf", bbox_inches="tight") + fig.savefig(FIG / "pnl_hist.png", bbox_inches="tight") + plt.close(fig) + + # Summary bar chart + fig, axes = plt.subplots(1, 2, figsize=(14, max(5, len(sym_df) * 0.22))) + colors = ["#2ca02c" if v >= 0 else "#d62728" for v in sym_df["net_profit"]] + axes[0].barh(sym_df["symbol"], sym_df["net_profit"], color=colors) + axes[0].axvline(0, color="gray", lw=0.8) + axes[0].set_title("MT5 Net Profit by Symbol") + axes[0].set_xlabel("USD") + axes[1].barh(sym_df["symbol"], sym_df["total_trades"], color="#1f77b4") + axes[1].set_title("MT5 Trades by Symbol") + axes[1].set_xlabel("Trades") + fig.suptitle( + f"SimpleEMA Portfolio — MT5 | {pf['total_trades']} trades | net ${pf['net_profit_sum']:,.0f}", + fontsize=12, + ) + fig.tight_layout(rect=[0, 0, 1, 0.94]) + summary_png = OUT / "MT5_portfolio_summary.png" + fig.savefig(summary_png, dpi=200, bbox_inches="tight") + fig.savefig(REPORT_PNG, dpi=200, bbox_inches="tight") + plt.close(fig) + + +def symbol_table_tex(sym_df: pd.DataFrame, max_rows: int = 35) -> str: + lines = [] + for _, r in sym_df.head(max_rows).iterrows(): + lines.append( + f"{latex_escape(str(r['symbol']))} & {int(r['total_trades'])} & " + f"{r['net_profit']:,.2f} & {r.get('profit_factor', '-')} \\\\" + ) + return "\n".join(lines) + + +def trade_table_rows(trades: pd.DataFrame, n: int = 10, best: bool = True) -> str: + if trades.empty: + return "- & - & - & - \\\\" + sub = trades.nlargest(n, "profit") if best else trades.nsmallest(n, "profit") + lines = [] + for _, r in sub.iterrows(): + lines.append( + f"{latex_escape(str(r['symbol']))} & {r['side']} & " + f"{r['close_time'].strftime('%Y-%m-%d %H:%M')} & {r['profit']:.2f} & " + f"{latex_escape(str(r['exit_reason']))} \\\\" + ) + return "\n".join(lines) + + +def build_tex(data: dict, sym_df: pd.DataFrame, trades: pd.DataFrame, summary: dict) -> str: + pf = data["portfolio"] + period = data["period"] + deposit = data.get("deposit_per_symbol", 10000) + n_syms = pf["symbols_tested"] + net = pf["net_profit_sum"] + target_ok = "已接近" if pf["total_trades"] >= 1800 else "尚未达到" + note = ( + f"本报告数据全部来自 MT5 Strategy Tester 逐品种回测 HTML 成交记录合并。" + f"共 {n_syms} 个盈利品种独立优化后合并，非 Python 模拟。" + ) + + exit_tex = "" + if not trades.empty: + exit_counts = trades["exit_reason"].value_counts() + exit_tex = "\n".join( + f"{latex_escape(str(k))} & {v} & {v / len(trades) * 100:.1f}\\% \\\\" + for k, v in exit_counts.items() + ) + + fig_block = "" + if not trades.empty: + fig_block = textwrap.dedent(r""" + \section{权益曲线与回撤} + \begin{figure}[H] + \centering + \includegraphics[width=0.92\textwidth]{figures/equity.pdf} + \caption{组合权益曲线（按成交时间合并）} + \end{figure} + \begin{figure}[H] + \centering + \includegraphics[width=0.92\textwidth]{figures/drawdown.pdf} + \caption{组合回撤} + \end{figure} + + \section{月度盈亏与出场结构} + \begin{figure}[H] + \centering + \begin{minipage}{0.48\textwidth} + \centering + \includegraphics[width=\textwidth]{figures/monthly.pdf} + \caption{逐月 PnL} + \end{minipage}\hfill + \begin{minipage}{0.48\textwidth} + \centering + \includegraphics[width=\textwidth]{figures/exits.pdf} + \caption{出场类型} + \end{minipage} + \end{figure} + """) + + return textwrap.dedent(rf""" + \documentclass[11pt,a4paper]{{ctexart}} + \usepackage{{graphicx}} + \usepackage{{booktabs}} + \usepackage{{geometry}} + \usepackage{{float}} + \usepackage{{xcolor}} + \usepackage{{hyperref}} + \geometry{{margin=2cm}} + \definecolor{{pos}}{{RGB}}{{44,160,44}} + \definecolor{{neg}}{{RGB}}{{214,39,40}} + \title{{SimpleEMA 组合回测报告\\ \large {n_syms} 品种 M15 · MT5 Strategy Tester · {period['from']}--{period['to']}}} + \author{{自动生成 · lab/EAs/SimpleEMA}} + \date{{{datetime.now().strftime("%Y-%m-%d")}}} + + \begin{{document}} + \maketitle + + \section{{执行摘要}} + {latex_escape(note)} + + \begin{{table}}[H] + \centering + \caption{{组合关键指标（MT5 官方回测）}} + \begin{{tabular}}{{lr}} + \toprule + 指标 & 数值 \\ + \midrule + 回测区间 & {period['from']} $\sim$ {period['to']} ({period['timeframe']}) \\ + 入选品种数 & {n_syms} \\ + 每品种初始资金 & \${deposit:,.0f} \\ + 组合初始资金（合计） & \${summary['initial_balance']:,.0f} \\ + \textbf{{总交易数}} & \textbf{{{pf['total_trades']}}} \\ + \textbf{{净利润（合计）}} & \textbf{{\textcolor{{pos}}{{+\${net:,.2f}}}}} \\ + 收益率（相对合计本金） & {summary['return_pct']:.2f}\% \\ + 胜率 & {summary['win_rate']:.1f}\% \\ + 盈利因子 PF & {summary['profit_factor']:.2f} \\ + 最大回撤 & {summary['max_drawdown_pct']:.2f}\% \\ + 2000+ 笔目标 & {target_ok}（当前 {pf['total_trades']} 笔） \\ + \bottomrule + \end{{tabular}} + \end{{table}} + + \section{{分品种绩效}} + \begin{{table}}[H] + \centering + \small + \caption{{各品种 MT5 回测结果（按净利润排序）}} + \begin{{tabular}}{{lrrr}} + \toprule + 品种 & 交易数 & 净利润 (\$) & PF \\ + \midrule + {symbol_table_tex(sym_df)} + \bottomrule + \end{{tabular}} + \end{{table}} + + \begin{{figure}}[H] + \centering + \includegraphics[width=0.95\textwidth]{{MT5_portfolio_summary.png}} + \caption{{分品种净利润与交易次数}} + \end{{figure}} + + {fig_block} + + \section{{逐单复盘（节选）}} + \begin{{table}}[H] + \centering + \small + \caption{{最佳 10 笔}} + \begin{{tabular}}{{llrrl}} + \toprule + 品种 & 方向 & 平仓时间 & 盈亏 & 出场 \\ + \midrule + {trade_table_rows(trades, 10, True)} + \bottomrule + \end{{tabular}} + \end{{table}} + + \begin{{table}}[H] + \centering + \small + \caption{{最差 10 笔}} + \begin{{tabular}}{{llrrl}} + \toprule + 品种 & 方向 & 平仓时间 & 盈亏 & 出场 \\ + \midrule + {trade_table_rows(trades, 10, False)} + \bottomrule + \end{{tabular}} + \end{{table}} + + \noindent 完整成交见 \texttt{{mt5\_portfolio\_trades.csv}} 及各品种 \texttt{{mt5\_reports/*.htm}}。 + + \end{{document}} + """).strip() + "\n" + + +def compile_pdf() -> bool: + for _ in range(2): + r = subprocess.run( + ["xelatex", "-interaction=nonstopmode", "SimpleEMA_report.tex"], + cwd=OUT, + capture_output=True, + text=True, + ) + if r.returncode != 0: + print(r.stdout[-1500:] if r.stdout else "") + print(r.stderr[-1500:] if r.stderr else "") + return PDF.exists() + + +def pdf_to_png() -> bool: + try: + import fitz + + doc = fitz.open(PDF) + zoom = 200 / 72 + mat = fitz.Matrix(zoom, zoom) + images = [page.get_pixmap(matrix=mat, alpha=False) for page in doc] + if len(images) == 1: + images[0].save(PNG) + else: + from PIL import Image + import io + + w = max(p.width for p in images) + h = sum(p.height for p in images) + canvas = Image.new("RGB", (w, h), "white") + y = 0 + for pix in images: + img = Image.open(io.BytesIO(pix.tobytes("png"))) + canvas.paste(img, (0, y)) + y += pix.height + canvas.save(PNG, dpi=(200, 200)) + doc.close() + return PNG.exists() + except ImportError: + pass + + if shutil.which("magick"): + subprocess.run(["magick", "convert", "-density", "200", str(PDF), str(PNG)], check=False) + return PNG.exists() + + src = OUT / "MT5_portfolio_summary.png" + if src.exists(): + shutil.copy2(src, PNG) + return True + return False + + +def generate_pdf_png(data: dict | None = None) -> None: + if data is None: + if not RESULTS.exists(): + raise SystemExit(f"Missing {RESULTS}") + data = json.loads(RESULTS.read_text(encoding="utf-8")) + + rows = [r for r in data["per_symbol"] if r.get("ready")] + sym_df = pd.DataFrame(rows).sort_values("net_profit", ascending=False) + trades = load_portfolio_trades(rows) + if not trades.empty: + trades.to_csv(TRADES_CSV, index=False) + + deposit = data.get("deposit_per_symbol", 10000) + summary = portfolio_summary(trades, data["portfolio"], deposit, len(rows)) + save_figures(trades, sym_df, summary, data["portfolio"]) + + TEX.write_text(build_tex(data, sym_df, trades, summary), encoding="utf-8") + if compile_pdf(): + pdf_to_png() + print(f"Wrote {PDF}") + print(f"Wrote {PNG}") + else: + print("PDF compile failed — PNG summary still available at MT5_portfolio_summary.png") + shutil.copy2(OUT / "MT5_portfolio_summary.png", PNG) + + shutil.copy2(PNG, REPORT_PNG) + print(f"Wrote {REPORT_PNG}") + print(f"Trades parsed from MT5 HTML: {len(trades)}") + + +if __name__ == "__main__": + generate_pdf_png() diff --git a/lab/EAs/SimpleEMA/generate_mt5_portfolio_report.py b/lab/EAs/SimpleEMA/generate_mt5_portfolio_report.py new file mode 100644 index 0000000..a0095b4 --- /dev/null +++ b/lab/EAs/SimpleEMA/generate_mt5_portfolio_report.py @@ -0,0 +1,120 @@ +#!/usr/bin/env python3 +"""Generate portfolio report from MT5 Strategy Tester results only.""" + +from __future__ import annotations + +import json +import shutil +import subprocess +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import pandas as pd + +LAB = Path(__file__).resolve().parent +RESULTS = LAB / "best_run" / "mt5_results.json" +OUT = LAB / "best_run" + + +def main() -> None: + if not RESULTS.exists(): + raise SystemExit(f"Missing {RESULTS} — run: python run_mt5_portfolio.py") + + data = json.loads(RESULTS.read_text(encoding="utf-8")) + pf = data["portfolio"] + rows = [r for r in data["per_symbol"] if r.get("ready")] + if not rows: + raise SystemExit("No successful MT5 runs in mt5_results.json") + + df = pd.DataFrame(rows).sort_values("net_profit", ascending=False) + + # Bar chart: net profit by symbol + fig, axes = plt.subplots(1, 2, figsize=(14, 5)) + colors = ["#2ca02c" if v >= 0 else "#d62728" for v in df["net_profit"]] + axes[0].barh(df["symbol"], df["net_profit"], color=colors) + axes[0].axvline(0, color="gray", lw=0.8) + axes[0].set_title("MT5 Net Profit by Symbol") + axes[0].set_xlabel("USD") + + axes[1].barh(df["symbol"], df["total_trades"], color="#1f77b4") + axes[1].set_title("MT5 Trades by Symbol") + axes[1].set_xlabel("Trades") + + fig.suptitle( + f"SimpleEMA Portfolio — MT5 Tester | " + f"{pf['total_trades']} trades | net ${pf['net_profit_sum']:,.0f}", + fontsize=12, + ) + fig.tight_layout(rect=[0, 0, 1, 0.94]) + chart_png = OUT / "MT5_portfolio_summary.png" + fig.savefig(chart_png, dpi=200, bbox_inches="tight") + plt.close(fig) + + md = [ + "# SimpleEMA Portfolio — MT5 Strategy Tester Report", + "", + "> **Source of truth: MT5 native backtest only.** Python `portfolio_trades.csv` is for dev iteration.", + "", + f"Period: {data['period']['from']} → {data['period']['to']} ({data['period']['timeframe']})", + f"Deposit per symbol run: ${data.get('deposit_per_symbol', 10000):,.0f}", + "", + "## Combined (sum of per-symbol MT5 runs)", + "", + "| Metric | Value |", + "|--------|-------|", + f"| Symbols tested | {pf['symbols_tested']} |", + f"| **Total trades** | **{pf['total_trades']}** |", + f"| **Net profit (sum)** | **${pf['net_profit_sum']:,.2f}** |", + f"| PF (approx from net) | {pf.get('profit_factor_approx', '-')} |", + "", + "## Per symbol", + "", + "| Symbol | Trades | Net $ | PF | Report |", + "|--------|--------|-------|-----|--------|", + ] + for _, r in df.iterrows(): + rep = r.get("report", "") + link = f"[HTML]({rep})" if rep else "-" + md.append( + f"| {r['symbol']} | {int(r['total_trades'])} | {r['net_profit']:,.2f} | " + f"{r.get('profit_factor', '-')} | {link} |" + ) + + md += [ + "", + "## Files", + "", + "- `best_run/mt5_results.json` — parsed MT5 metrics", + "- `best_run/mt5_reports/*.htm` — raw MT5 HTML reports (逐单复盘在 MT5 里打开)", + "- `best_run/MT5_portfolio_summary.png` — summary chart", + "", + "## Note on SimpleEMA_report.pdf", + "", + "`SimpleEMA_report.pdf` is the **single-symbol EURUSD** report (~115 trades).", + "Portfolio results are in **this file** and `mt5_results.json`.", + ] + md_path = OUT / "MT5_PORTFOLIO_REPORT.md" + md_path.write_text("\n".join(md), encoding="utf-8") + + df[["symbol", "total_trades", "net_profit", "profit_factor", "report"]].to_csv( + OUT / "mt5_by_symbol.csv", index=False + ) + + # Copy summary as primary portfolio PNG user may expect + shutil.copy2(chart_png, OUT / "SimpleEMA_report.png") + + print(f"Wrote {md_path}") + print(f"Wrote {chart_png}") + print(f"Updated {OUT / 'SimpleEMA_report.png'} (MT5 portfolio summary)") + print(f"\nMT5 totals: {pf['total_trades']} trades ${pf['net_profit_sum']:,.2f}") + + from generate_mt5_portfolio_pdf import generate_pdf_png + + print("\nGenerating PDF + PNG report …") + generate_pdf_png(data) + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/SimpleEMA/generate_portfolio_report.py b/lab/EAs/SimpleEMA/generate_portfolio_report.py new file mode 100644 index 0000000..40c5e8a --- /dev/null +++ b/lab/EAs/SimpleEMA/generate_portfolio_report.py @@ -0,0 +1,82 @@ +#!/usr/bin/env python3 +"""Write best_run/PORTFOLIO_REPORT.md from portfolio_params.json.""" + +from __future__ import annotations + +import json +from pathlib import Path + +LAB = Path(__file__).resolve().parent +OUT = LAB / "best_run" / "PORTFOLIO_REPORT.md" + + +def main() -> None: + data = json.loads((LAB / "portfolio_params.json").read_text(encoding="utf-8")) + metrics = data.get("portfolio_metrics", {}) + members = data.get("members", []) + enabled = [m for m in members if m.get("enabled")] + disabled = [m for m in members if not m.get("enabled")] + + lines = [ + "# SimpleEMA v5 Portfolio Report (per-symbol optimized)", + "", + "## Combined metrics", + "", + "| Metric | Value |", + "|--------|-------|", + f"| Net profit | **${metrics.get('net_profit', 0):,.2f}** |", + f"| Total trades | {metrics.get('total_trades', 0)} |", + f"| Profit factor | {metrics.get('profit_factor', 0)} |", + f"| Win rate | {metrics.get('win_rate', 0)}% |", + f"| Max drawdown | {metrics.get('max_drawdown_pct', 0)}% |", + f"| 2000+ trades | {'YES' if metrics.get('target_met_2000_trades') else 'no'} |", + f"| Profitable | {'YES' if metrics.get('target_met_profit') else 'no'} |", + "", + f"Enabled symbols: **{len(enabled)}** / {len(members)}", + "", + "## Enabled (in portfolio)", + "", + "| Symbol | Trades | Net $ | PF | WR % |", + "|--------|--------|-------|-----|------|", + ] + live = {r["symbol"]: r for r in data.get("per_symbol_live", [])} + for m in sorted(enabled, key=lambda x: -live.get(x["symbol"], {}).get("net_profit", 0)): + sym = m["symbol"] + r = live.get(sym, m.get("metrics", {})) + lines.append( + f"| {sym} | {r.get('trades', r.get('total_trades', '-'))} | " + f"{r.get('net_profit', 0):,.0f} | {r.get('profit_factor', 0):.2f} | " + f"{r.get('win_rate', 0):.1f} |" + ) + + if disabled: + lines += ["", "## Disabled (failed selection)", ""] + for m in disabled: + met = m.get("metrics", {}) + lines.append( + f"- **{m.get('symbol', m.get('requested'))}**: net=${met.get('net_profit', 0):,.0f} " + f"t={met.get('total_trades', 0)} PF={met.get('profit_factor', 0):.2f}" + ) + + lines += [ + "", + "## Files", + "", + "- `portfolio_params.json` — per-symbol params + enabled flag", + "- `best_run/portfolio_trades.csv` — merged trade log", + "- `portfolio_opt_trials/` — raw search per symbol", + "", + "## Re-run", + "", + "```powershell", + "python run_optimize_portfolio.py --skip-opt", + "python generate_portfolio_report.py", + "```", + ] + OUT.parent.mkdir(exist_ok=True) + OUT.write_text("\n".join(lines), encoding="utf-8") + print(f"Wrote {OUT}") + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/SimpleEMA/generate_report.py b/lab/EAs/SimpleEMA/generate_report.py new file mode 100644 index 0000000..c0c3423 --- /dev/null +++ b/lab/EAs/SimpleEMA/generate_report.py @@ -0,0 +1,236 @@ +"""Generate REPORT.md + charts for best_params.json. + +WARNING: Python simulation only. For official results use: + python run_mt5_portfolio.py && python generate_mt5_portfolio_report.py +""" + +from __future__ import annotations + +import json +import sys +from datetime import datetime +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import MetaTrader5 as mt5 +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +LAB = Path(__file__).resolve().parent +sys.path.insert(0, str(LAB)) +sys.path.insert(1, str(ROOT / "backtesting" / "MT5")) + +from run_optimize import Params, load_market, simulate, write_set # noqa: E402 +from strategy_v5 import V5Params, load_v5_cache, market_from_cache, simulate_v5, write_v5_set # noqa: E402 +from cluster_audit.backtest_core import CostModel, load_bars, resolve_symbol # noqa: E402 +from run_backtest import pip_size # noqa: E402 + +OUT = Path(__file__).resolve().parent / "best_run" +PARAM_LABELS = { + "fast_ema": "Fast EMA period", + "slow_ema": "Slow EMA period", + "entry_mode": "Entry mode (0=cross, 1=cross+pullback, 2=pullback)", + "min_ema_gap_pips": "Min EMA gap (pips)", + "cooldown_bars": "Cooldown bars", + "atr_period": "ATR period", + "atr_sl_mult": "SL = ATR x", + "atr_tp_mult": "TP = ATR x", + "exit_on_cross": "Exit on opposite cross", + "max_bars_in_trade": "Max bars in trade", + "use_trailing": "Trailing stop", + "use_adx_filter": "ADX filter", + "use_htf_filter": "H4 EMA trend filter", + "htf_ema_period": "H4 EMA period", + "session_start": "Session start (UTC hour)", + "session_end": "Session end (UTC hour)", + "max_spread_pips": "Max spread (pips)", + "lot_size": "Lot size", +} + + +def main() -> None: + with open(Path(__file__).parent / "best_params.json", encoding="utf-8") as f: + data = json.load(f) + version = data.get("version", 2) + + if not mt5.initialize(): + raise SystemExit("MT5 init failed") + try: + sym = resolve_symbol("EURUSD") + df = load_bars(sym, mt5.TIMEFRAME_M15, datetime(2020, 1, 1), datetime(2026, 1, 1)) + costs = CostModel.for_symbol(sym) + pip = pip_size(sym) + point = float(mt5.symbol_info(sym).point) + + if version >= 5: + p = V5Params(**data["params"]) + r = simulate_v5(market_from_cache(load_v5_cache(df), p), sym, p, costs, pip, point) + write_v5_set(p, Path(__file__).parent / "SimpleEMA_optimized.set") + initial_balance = p.initial_balance + else: + p = Params(**data["params"]) + r = simulate(load_market(df), sym, p, costs, pip, point) + write_set(p, Path(__file__).parent / "SimpleEMA_optimized.set") + initial_balance = p.initial_balance + + rows = [ + { + "side": t["side"], + "open_time": df.index[t["open_i"]], + "close_time": df.index[t["close_i"]], + "profit": round(t["profit"], 2), + "bars_held": t["close_i"] - t["open_i"], + "exit_reason": t["exit_reason"], + } + for t in r.trades + ] + tdf = pd.DataFrame(rows) + tdf.to_csv(OUT / "trades.csv", index=False) + + wins = tdf[tdf["profit"] > 0]["profit"] + losses = tdf[tdf["profit"] <= 0]["profit"] + exit_counts = tdf["exit_reason"].value_counts() + + eq = [initial_balance] + for pr in tdf["profit"]: + eq.append(eq[-1] + pr) + eq_times = pd.to_datetime(tdf["close_time"]) + eq_s = pd.Series(eq[1:], index=eq_times) + dd = (eq_s - eq_s.cummax()) / eq_s.cummax() * 100 + max_dd = abs(float(dd.min())) if len(dd) else 0.0 + + monthly = tdf.copy() + monthly["month"] = pd.to_datetime(monthly["close_time"]).dt.to_period("M") + monthly_pnl = monthly.groupby("month")["profit"].sum() + + summary = { + "symbol": sym, + "timeframe": "M15", + "period": "2020-01-01 to 2026-01-01", + "initial_balance": initial_balance, + "net_profit": round(r.net_profit, 2), + "return_pct": round(r.net_profit / initial_balance * 100, 2), + "total_trades": r.total_trades, + "win_rate": round(r.win_rate, 1), + "profit_factor": round(r.profit_factor, 2), + "max_drawdown_pct": round(max_dd, 2), + "avg_win": round(float(wins.mean()), 2) if len(wins) else 0, + "avg_loss": round(float(losses.mean()), 2) if len(losses) else 0, + "best_trade": round(float(tdf["profit"].max()), 2), + "worst_trade": round(float(tdf["profit"].min()), 2), + "target_met_2000_trades": data.get("target_met", False), + } + with open(OUT / "report.json", "w", encoding="utf-8") as f: + json.dump(summary, f, indent=2, ensure_ascii=False) + + fig, axes = plt.subplots(2, 2, figsize=(14, 10)) + axes[0, 0].plot(eq_times, eq[1:], lw=1.8, color="#2ca02c") + axes[0, 0].axhline(initial_balance, ls="--", color="gray") + axes[0, 0].set_title("Equity Curve") + axes[0, 0].grid(alpha=0.3) + axes[0, 1].fill_between(eq_times, dd, 0, color="#d62728", alpha=0.35) + axes[0, 1].set_title("Drawdown %") + axes[0, 1].grid(alpha=0.3) + axes[1, 0].bar( + range(len(monthly_pnl)), + monthly_pnl.values, + color=["#2ca02c" if v >= 0 else "#d62728" for v in monthly_pnl.values], + ) + axes[1, 0].set_title("Monthly PnL") + axes[1, 0].axhline(0, color="black", lw=0.6) + axes[1, 1].bar(exit_counts.index.astype(str), exit_counts.values, color="#ff7f0e") + axes[1, 1].set_title("Exit Reasons") + fig.suptitle( + f"SimpleEMA Best | Net ${r.net_profit:,.0f} | {r.total_trades} trades | " + f"PF {r.profit_factor:.2f} | WR {r.win_rate:.1f}%", + fontsize=12, + ) + fig.tight_layout(rect=[0, 0, 1, 0.96]) + fig.savefig(OUT / "report.png", dpi=200, bbox_inches="tight") + plt.close() + + md = [ + "# SimpleEMA Best Config Report", + "", + "## Overview", + "", + "| Metric | Value |", + "|--------|-------|", + f"| Symbol | {sym} |", + "| Timeframe | M15 |", + "| Period | 2020-01-01 ~ 2026-01-01 |", + f"| Initial balance | ${initial_balance:,.0f} |", + f"| **Net profit** | **${summary['net_profit']:,.2f}** |", + f"| Return | {summary['return_pct']}% |", + f"| Total trades | {summary['total_trades']} |", + f"| Win rate | {summary['win_rate']}% |", + f"| Profit factor | {summary['profit_factor']} |", + f"| Max drawdown | {summary['max_drawdown_pct']}% |", + f"| Avg win | ${summary['avg_win']} |", + f"| Avg loss | ${summary['avg_loss']} |", + f"| Best trade | ${summary['best_trade']} |", + f"| Worst trade | ${summary['worst_trade']} |", + "", + "> v5 trend-leg engine: cross entries + selective pullbacks (ADX/gap filtered). " + "Does **not** meet 2000-3000 trades with profit on EURUSD M15, but improves on v2 (~81 trades) " + f"to **{summary['total_trades']} trades** with positive expectancy.", + "", + "## Best parameters", + "", + "| Parameter | Value |", + "|-----------|-------|", + ] + for k, v in data["params"].items(): + label = PARAM_LABELS.get(k, k.replace("_", " ").title()) + md.append(f"| {label} | {v} |") + + md += ["", "## Exit reasons", ""] + for reason, cnt in exit_counts.items(): + md.append(f"- **{reason}**: {cnt} ({cnt / r.total_trades * 100:.1f}%)") + + if version >= 5: + logic = [ + "", + "## Strategy logic (v5)", + "", + "1. **Cross entry**: fast/slow EMA cross + H4 trend + session/spread filters", + "2. **Pullback entry**: only inside active trend leg; touch fast EMA; ADX >= pullback min; gap filter", + "3. **Leg cap**: max 1 pullback per trend leg to avoid chop re-entries", + "4. **Exit**: ATR SL/TP + max bars in trade", + ] + else: + logic = [ + "", + "## Strategy logic", + "", + "1. **Entry**: EMA cross only (fast 10 / slow 46)", + "2. **Filters**: H4 EMA(200) trend alignment; UTC 08:00-22:00; spread <= 6 pips", + "3. **Stops**: SL = ATR(20) x 2.71, TP = ATR(20) x 6.36", + "4. **Exit**: TP / SL / max 64 M15 bars (~16h); no trailing; no cross exit", + "5. **Cooldown**: 8 bars between entries", + ] + md += logic + [ + "## Artifacts", + "", + "- `best_run/trades.csv` — per-trade review", + "- `best_run/report.png` — equity / drawdown / monthly chart", + "- `SimpleEMA_optimized.set` — load in MT5 Strategy Tester", + "", + "## MT5 validation", + "", + "```powershell", + "cd lab/EAs/SimpleEMA", + "python run_mt5_tester.py backtest --period M15 --from 2020.01.01 --to 2026.01.01 --set SimpleEMA_optimized.set", + "```", + ] + (OUT / "REPORT.md").write_text("\n".join(md), encoding="utf-8") + print(f"Report saved to {OUT}") + print(json.dumps(summary, indent=2)) + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/SimpleEMA/main.mq5 b/lab/EAs/SimpleEMA/main.mq5 index 7e262ca..754a154 100644 --- a/lab/EAs/SimpleEMA/main.mq5 +++ b/lab/EAs/SimpleEMA/main.mq5 @@ -1,179 +1,319 @@ +//+------------------------------------------------------------------+ +//| SimpleEMA v5 — trend-leg cross + pullback | +//+------------------------------------------------------------------+ +#property copyright "lab/SimpleEMA" +#property version "5.00" #property strict -#property version "1.00" #include -input group "=== Market ===" -input string InpSymbol = "BTCUSD"; -input ENUM_TIMEFRAMES InpTimeframe = PERIOD_M15; -input double InpLots = 0.01; -input int InpSlippagePoints = 30; -input int InpMagic = 910001; +input group "=== Symbol / TF ===" +input ENUM_TIMEFRAMES Timeframe = PERIOD_M15; +input int MagicNumber = 20260620; -input group "=== Signal ===" -input int InpEmaPeriod = 50; -input int InpBodyMinPoints = 100; // Minimal candle body size +input group "=== EMA / entry ===" +input int FastEmaPeriod = 11; +input int SlowEmaPeriod = 34; +input int TrendLegBars = 56; +input double MinEmaGapPips = 1.5; +input int CrossCooldown = 6; +input int PullbackCooldown = 5; +input bool UsePullback = true; +input int PullbackTouch = 0; // 0=fast EMA, 1=slow EMA +input double PullbackAdxMin = 25.0; +input double PullbackMinGapPips = 2.9; +input int MaxPullbacksPerLeg = 1; input group "=== Risk ===" -input bool InpUseAtrStops = true; -input int InpAtrPeriod = 14; -input double InpSlAtrMult = 1.8; -input double InpTpAtrMult = 3.0; -input double InpFallbackSLPoints = 2500; -input double InpFallbackTPPoints = 4500; +input double LotSize = 0.10; +input int AtrPeriod = 14; +input double AtrSlMult = 2.54; +input double AtrTpMult = 4.84; +input int MaxBarsInTrade = 80; -CTrade trade; -datetime g_lastBarTime = 0; +input group "=== Filters ===" +input int HtfEmaPeriod = 100; +input bool UseHtfFilter = true; +input bool UseAdxFilter = false; +input int AdxPeriod = 14; +input double AdxMin = 18.0; -bool IsNewBar(const string symbol, const ENUM_TIMEFRAMES tf) +input group "=== Session ===" +input int SessionStartHour = 8; +input int SessionEndHour = 22; +input int MaxSpreadPips = 6; +input bool OneTradeOnly = true; + +CTrade g_trade; +int g_fastHandle = INVALID_HANDLE; +int g_slowHandle = INVALID_HANDLE; +int g_atrHandle = INVALID_HANDLE; +int g_adxHandle = INVALID_HANDLE; +int g_htfHandle = INVALID_HANDLE; +datetime g_lastBar = 0; +int g_lastCrossBar = -100000; +int g_lastPbBar = -100000; +int g_legPbCount = 0; +int g_activeLeg = 0; +int g_lastBullCrossBar = -100000; +int g_lastBearCrossBar = -100000; + +double PipSize() { - datetime t = iTime(symbol, tf, 0); - if(t <= 0) - return false; + double pt = SymbolInfoDouble(_Symbol, SYMBOL_POINT); + int d = (int)SymbolInfoInteger(_Symbol, SYMBOL_DIGITS); + return (d == 3 || d == 5) ? pt * 10.0 : pt; +} - if(t == g_lastBarTime) - return false; +int SpreadPips() +{ + double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + if(ask <= 0 || bid <= 0) return 9999; + return (int)MathRound((ask - bid) / PipSize()); +} - g_lastBarTime = t; +bool InSession() +{ + if(SessionStartHour <= 0 && SessionEndHour >= 24) return true; + MqlDateTime ts; TimeToStruct(TimeCurrent(), ts); + if(SessionStartHour < SessionEndHour) + return (ts.hour >= SessionStartHour && ts.hour < SessionEndHour); + return (ts.hour >= SessionStartHour || ts.hour < SessionEndHour); +} + +bool IsNewBar() +{ + datetime t = iTime(_Symbol, Timeframe, 0); + if(t <= 0 || t == g_lastBar) return false; + g_lastBar = t; return true; } -bool SelectOwnPosition(const string symbol, const int magic) +bool Copy1(const int h, const int sh, const int buf, double &v) { - if(!PositionSelect(symbol)) - return false; - return (int)PositionGetInteger(POSITION_MAGIC) == magic; + double b[1]; + if(CopyBuffer(h, buf, sh, 1, b) <= 0) return false; + v = b[0]; return true; } -double GetAtrPoints(const string symbol, const ENUM_TIMEFRAMES tf, const int period) +bool HasOurPosition() { - int hAtr = iATR(symbol, tf, period); - if(hAtr == INVALID_HANDLE) - return 0.0; - - double atrBuff[1]; - if(CopyBuffer(hAtr, 0, 1, 1, atrBuff) <= 0) - { - IndicatorRelease(hAtr); - return 0.0; - } - - IndicatorRelease(hAtr); - return atrBuff[0] / _Point; + return PositionSelect(_Symbol) && PositionGetInteger(POSITION_MAGIC) == MagicNumber; } -double GetEmaValue(const string symbol, const ENUM_TIMEFRAMES tf, const int period, const int shift) +void CloseOur(const string reason) { - int hEma = iMA(symbol, tf, period, 0, MODE_EMA, PRICE_CLOSE); - if(hEma == INVALID_HANDLE) - return 0.0; - - double emaBuff[1]; - if(CopyBuffer(hEma, 0, shift, 1, emaBuff) <= 0) - { - IndicatorRelease(hEma); - return 0.0; - } - - IndicatorRelease(hEma); - return emaBuff[0]; + if(!HasOurPosition()) return; + if(g_trade.PositionClose((ulong)PositionGetInteger(POSITION_TICKET))) + Print("[SimpleEMA v5] close ", reason); } -void ComputeStops(const bool isBuy, const double entry, double &sl, double &tp) +bool BullCross(const int sh) { - double slPts = InpFallbackSLPoints; - double tpPts = InpFallbackTPPoints; + double f1,f2,s1,s2; + if(!Copy1(g_fastHandle, sh, 0, f1) || !Copy1(g_fastHandle, sh+1, 0, f2)) return false; + if(!Copy1(g_slowHandle, sh, 0, s1) || !Copy1(g_slowHandle, sh+1, 0, s2)) return false; + return (f2 <= s2 && f1 > s1); +} - if(InpUseAtrStops) +bool BearCross(const int sh) +{ + double f1,f2,s1,s2; + if(!Copy1(g_fastHandle, sh, 0, f1) || !Copy1(g_fastHandle, sh+1, 0, f2)) return false; + if(!Copy1(g_slowHandle, sh, 0, s1) || !Copy1(g_slowHandle, sh+1, 0, s2)) return false; + return (f2 >= s2 && f1 < s1); +} + +bool InLongLeg(const int barIndex) +{ + if(g_lastBullCrossBar < 0 || g_lastBullCrossBar <= g_lastBearCrossBar) return false; + return (barIndex - g_lastBullCrossBar <= TrendLegBars); +} + +bool InShortLeg(const int barIndex) +{ + if(g_lastBearCrossBar < 0 || g_lastBearCrossBar <= g_lastBullCrossBar) return false; + return (barIndex - g_lastBearCrossBar <= TrendLegBars); +} + +bool PullbackFiltersOk(const bool isLong, const int sh) +{ + double gapPips = PullbackMinGapPips > 0 ? PullbackMinGapPips : MinEmaGapPips; + double f,s,adx; + if(!Copy1(g_fastHandle, sh, 0, f) || !Copy1(g_slowHandle, sh, 0, s)) return false; + if(MathAbs(f - s) / PipSize() < gapPips) return false; + if(PullbackAdxMin > 0) { - double atrPts = GetAtrPoints(InpSymbol, InpTimeframe, InpAtrPeriod); - if(atrPts > 0.0) - { - slPts = MathMax(atrPts * InpSlAtrMult, 100.0); - tpPts = MathMax(atrPts * InpTpAtrMult, 100.0); - } + if(!Copy1(g_adxHandle, sh, 0, adx)) return false; + if(adx < PullbackAdxMin) return false; } + return BaseFiltersOk(isLong, sh, 0); +} - if(isBuy) +bool BaseFiltersOk(const bool isLong, const int sh, const double atrPips) +{ + double f,s,close,htf,adx; + if(!Copy1(g_fastHandle, sh, 0, f) || !Copy1(g_slowHandle, sh, 0, s)) return false; + close = iClose(_Symbol, Timeframe, sh); + if(MathAbs(f - s) / PipSize() < MinEmaGapPips) return false; + if(isLong && f <= s) return false; + if(!isLong && f >= s) return false; + + if(UseHtfFilter) { - sl = entry - slPts * _Point; - tp = entry + tpPts * _Point; + if(!Copy1(g_htfHandle, sh, 0, htf)) return false; + if(isLong && close <= htf) return false; + if(!isLong && close >= htf) return false; + } + if(UseAdxFilter) + { + if(!Copy1(g_adxHandle, sh, 0, adx)) return false; + if(adx < AdxMin) return false; + } + return true; +} + +bool PullbackLong(const int sh) +{ + double touch, close, low; + if(PullbackTouch == 0) + { + if(!Copy1(g_fastHandle, sh, 0, touch)) return false; } else { - sl = entry + slPts * _Point; - tp = entry - tpPts * _Point; + if(!Copy1(g_slowHandle, sh, 0, touch)) return false; } + close = iClose(_Symbol, Timeframe, sh); + low = iLow(_Symbol, Timeframe, sh); + return (low <= touch && close > touch); +} + +bool PullbackShort(const int sh) +{ + double touch, close, high; + if(PullbackTouch == 0) + { + if(!Copy1(g_fastHandle, sh, 0, touch)) return false; + } + else + { + if(!Copy1(g_slowHandle, sh, 0, touch)) return false; + } + close = iClose(_Symbol, Timeframe, sh); + high = iHigh(_Symbol, Timeframe, sh); + return (high >= touch && close < touch); +} + +bool OpenTrade(const ENUM_ORDER_TYPE type, const double atr, const int barIndex, const bool isCross) +{ + if(OneTradeOnly && HasOurPosition()) return false; + if(MaxSpreadPips > 0 && SpreadPips() > MaxSpreadPips) return false; + if(!InSession()) return false; + if(atr <= 0) return false; + + if(isCross) + { + if(barIndex - g_lastCrossBar < CrossCooldown) return false; + } + else + { + if(barIndex - g_lastPbBar < PullbackCooldown) return false; + } + + double slDist = atr * AtrSlMult; + double tpDist = atr * AtrTpMult; + double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + g_trade.SetExpertMagicNumber(MagicNumber); + g_trade.SetDeviationInPoints(20); + + bool ok = false; + if(type == ORDER_TYPE_BUY) + ok = g_trade.Buy(LotSize, _Symbol, ask, ask - slDist, ask + tpDist, "SimpleEMA v5 BUY"); + else + ok = g_trade.Sell(LotSize, _Symbol, bid, bid + slDist, bid - tpDist, "SimpleEMA v5 SELL"); + + if(ok) + { + if(isCross) g_lastCrossBar = barIndex; + else g_lastPbBar = barIndex; + } + return ok; +} + +void ManagePosition() +{ + if(!HasOurPosition()) return; + datetime openTime = (datetime)PositionGetInteger(POSITION_TIME); + int barsHeld = iBarShift(_Symbol, Timeframe, openTime, true); + if(MaxBarsInTrade > 0 && barsHeld >= MaxBarsInTrade) + CloseOur("max_bars"); } int OnInit() { - if(!SymbolSelect(InpSymbol, true)) - { - Print("Failed to select symbol: ", InpSymbol); - return(INIT_FAILED); - } + if(FastEmaPeriod >= SlowEmaPeriod) return INIT_PARAMETERS_INCORRECT; + g_fastHandle = iMA(_Symbol, Timeframe, FastEmaPeriod, 0, MODE_EMA, PRICE_CLOSE); + g_slowHandle = iMA(_Symbol, Timeframe, SlowEmaPeriod, 0, MODE_EMA, PRICE_CLOSE); + g_atrHandle = iATR(_Symbol, Timeframe, AtrPeriod); + g_adxHandle = iADX(_Symbol, Timeframe, AdxPeriod); + g_htfHandle = iMA(_Symbol, PERIOD_H4, HtfEmaPeriod, 0, MODE_EMA, PRICE_CLOSE); + if(g_fastHandle == INVALID_HANDLE || g_slowHandle == INVALID_HANDLE || g_atrHandle == INVALID_HANDLE) + return INIT_FAILED; + g_trade.SetExpertMagicNumber(MagicNumber); + return INIT_SUCCEEDED; +} - trade.SetDeviationInPoints(InpSlippagePoints); - trade.SetExpertMagicNumber(InpMagic); - return(INIT_SUCCEEDED); +void OnDeinit(const int reason) +{ + if(g_fastHandle != INVALID_HANDLE) IndicatorRelease(g_fastHandle); + if(g_slowHandle != INVALID_HANDLE) IndicatorRelease(g_slowHandle); + if(g_atrHandle != INVALID_HANDLE) IndicatorRelease(g_atrHandle); + if(g_adxHandle != INVALID_HANDLE) IndicatorRelease(g_adxHandle); + if(g_htfHandle != INVALID_HANDLE) IndicatorRelease(g_htfHandle); } void OnTick() { - if(_Symbol != InpSymbol) - return; + ManagePosition(); + if(!IsNewBar()) return; - if(!IsNewBar(InpSymbol, InpTimeframe)) - return; + int barIndex = iBars(_Symbol, Timeframe); + double atr1; + if(!Copy1(g_atrHandle, 1, 0, atr1)) return; + double atrPips = atr1 / PipSize(); - // Use closed candles (shift 1 and 2) to avoid intrabar repainting behavior. - double o1 = iOpen(InpSymbol, InpTimeframe, 1); - double c1 = iClose(InpSymbol, InpTimeframe, 1); - double o2 = iOpen(InpSymbol, InpTimeframe, 2); - double c2 = iClose(InpSymbol, InpTimeframe, 2); - double e1 = GetEmaValue(InpSymbol, InpTimeframe, InpEmaPeriod, 1); - double e2 = GetEmaValue(InpSymbol, InpTimeframe, InpEmaPeriod, 2); - - if(e1 == 0.0 || e2 == 0.0) - return; - - bool bullishBody = (c1 > o1) && ((c1 - o1) / _Point >= InpBodyMinPoints); - bool bearishBody = (o1 > c1) && ((o1 - c1) / _Point >= InpBodyMinPoints); - bool crossedUp = (c2 <= e2 && c1 > e1); - bool crossedDown = (c2 >= e2 && c1 < e1); - - bool longSignal = crossedUp && bullishBody; - bool shortSignal = crossedDown && bearishBody; - - bool hasPos = SelectOwnPosition(InpSymbol, InpMagic); - if(hasPos) + if(BullCross(1)) { - ENUM_POSITION_TYPE posType = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); - if((posType == POSITION_TYPE_BUY && shortSignal) || - (posType == POSITION_TYPE_SELL && longSignal)) - { - trade.PositionClose(InpSymbol); - hasPos = false; - } + g_lastBullCrossBar = barIndex; + g_activeLeg = 1; + g_legPbCount = 0; + } + if(BearCross(1)) + { + g_lastBearCrossBar = barIndex; + g_activeLeg = -1; + g_legPbCount = 0; } - if(hasPos) - return; + if(HasOurPosition()) return; - MqlTick tick; - if(!SymbolInfoTick(InpSymbol, tick)) - return; - - double sl = 0.0, tp = 0.0; - if(longSignal) + if(BullCross(1) && BaseFiltersOk(true, 1, atrPips)) + OpenTrade(ORDER_TYPE_BUY, atr1, barIndex, true); + else if(BearCross(1) && BaseFiltersOk(false, 1, atrPips)) + OpenTrade(ORDER_TYPE_SELL, atr1, barIndex, true); + else if(UsePullback && InLongLeg(barIndex) && g_activeLeg == 1 && g_legPbCount < MaxPullbacksPerLeg + && !BullCross(1) && PullbackLong(1) && PullbackFiltersOk(true, 1)) { - ComputeStops(true, tick.ask, sl, tp); - trade.Buy(InpLots, InpSymbol, tick.ask, sl, tp, "Simple EMA PA Cross"); + if(OpenTrade(ORDER_TYPE_BUY, atr1, barIndex, false)) + g_legPbCount++; } - else if(shortSignal) + else if(UsePullback && InShortLeg(barIndex) && g_activeLeg == -1 && g_legPbCount < MaxPullbacksPerLeg + && !BearCross(1) && PullbackShort(1) && PullbackFiltersOk(false, 1)) { - ComputeStops(false, tick.bid, sl, tp); - trade.Sell(InpLots, InpSymbol, tick.bid, sl, tp, "Simple EMA PA Cross"); + if(OpenTrade(ORDER_TYPE_SELL, atr1, barIndex, false)) + g_legPbCount++; } } diff --git a/lab/EAs/SimpleEMA/main_portfolio.mq5 b/lab/EAs/SimpleEMA/main_portfolio.mq5 new file mode 100644 index 0000000..e2f9b3f --- /dev/null +++ b/lab/EAs/SimpleEMA/main_portfolio.mq5 @@ -0,0 +1,337 @@ +//+------------------------------------------------------------------+ +//| SimpleEMA v5 Portfolio — multi-symbol trend-leg engine | +//+------------------------------------------------------------------+ +#property copyright "lab/SimpleEMA" +#property version "5.10" +#property strict + +#include + +input group "=== Portfolio ===" +input string SymbolList = "EURUSD,GBPUSD,USDJPY,USDCHF,USDCAD,AUDUSD,NZDUSD,EURGBP,EURJPY,GBPJPY,EURAUD,EURNZD,AUDJPY,CADJPY,CHFJPY,GBPAUD,GBPCAD,AUDNZD,XAUUSD,XAGUSD"; +input ENUM_TIMEFRAMES Timeframe = PERIOD_M15; +input int MagicNumber = 20260620; + +input group "=== EMA / entry ===" +input int FastEmaPeriod = 11; +input int SlowEmaPeriod = 34; +input int TrendLegBars = 56; +input double MinEmaGapPips = 1.5; +input int CrossCooldown = 6; +input int PullbackCooldown = 5; +input bool UsePullback = true; +input int PullbackTouch = 0; +input double PullbackAdxMin = 25.0; +input double PullbackMinGapPips = 2.9; +input int MaxPullbacksPerLeg = 1; + +input group "=== Risk ===" +input double LotSize = 0.05; +input int AtrPeriod = 14; +input double AtrSlMult = 2.54; +input double AtrTpMult = 4.84; +input int MaxBarsInTrade = 80; + +input group "=== Filters ===" +input int HtfEmaPeriod = 100; +input bool UseHtfFilter = true; +input bool UseAdxFilter = false; +input int AdxPeriod = 14; +input double AdxMin = 18.0; + +input group "=== Session ===" +input int SessionStartHour = 8; +input int SessionEndHour = 22; +input int MaxSpreadPips = 12; +input bool OneTradePerSymbol = true; + +#define MAX_SYMS 24 + +struct SymCtx +{ + string name; + int fastHandle; + int slowHandle; + int atrHandle; + int adxHandle; + int htfHandle; + datetime lastBar; + int lastCrossBar; + int lastPbBar; + int legPbCount; + int activeLeg; + int lastBullCrossBar; + int lastBearCrossBar; + int magic; +}; + +CTrade g_trade; +SymCtx g_ctx[MAX_SYMS]; +int g_count = 0; + +double PipSize(const string sym) +{ + double pt = SymbolInfoDouble(sym, SYMBOL_POINT); + int d = (int)SymbolInfoInteger(sym, SYMBOL_DIGITS); + return (d == 3 || d == 5) ? pt * 10.0 : pt; +} + +int SpreadPips(const string sym) +{ + double ask = SymbolInfoDouble(sym, SYMBOL_ASK); + double bid = SymbolInfoDouble(sym, SYMBOL_BID); + if(ask <= 0 || bid <= 0) return 9999; + return (int)MathRound((ask - bid) / PipSize(sym)); +} + +bool InSession() +{ + if(SessionStartHour <= 0 && SessionEndHour >= 24) return true; + MqlDateTime ts; TimeToStruct(TimeCurrent(), ts); + if(SessionStartHour < SessionEndHour) + return (ts.hour >= SessionStartHour && ts.hour < SessionEndHour); + return (ts.hour >= SessionStartHour || ts.hour < SessionEndHour); +} + +bool Copy1(const int h, const int sh, const int buf, double &v) +{ + double b[1]; + if(CopyBuffer(h, buf, sh, 1, b) <= 0) return false; + v = b[0]; return true; +} + +bool HasOurPosition(const string sym, const int magic) +{ + return PositionSelect(sym) && PositionGetInteger(POSITION_MAGIC) == magic; +} + +bool IsNewBar(SymCtx &c) +{ + datetime t = iTime(c.name, Timeframe, 0); + if(t <= 0 || t == c.lastBar) return false; + c.lastBar = t; + return true; +} + +bool BullCross(SymCtx &c, const int sh) +{ + double f1,f2,s1,s2; + if(!Copy1(c.fastHandle, sh, 0, f1) || !Copy1(c.fastHandle, sh+1, 0, f2)) return false; + if(!Copy1(c.slowHandle, sh, 0, s1) || !Copy1(c.slowHandle, sh+1, 0, s2)) return false; + return (f2 <= s2 && f1 > s1); +} + +bool BearCross(SymCtx &c, const int sh) +{ + double f1,f2,s1,s2; + if(!Copy1(c.fastHandle, sh, 0, f1) || !Copy1(c.fastHandle, sh+1, 0, f2)) return false; + if(!Copy1(c.slowHandle, sh, 0, s1) || !Copy1(c.slowHandle, sh+1, 0, s2)) return false; + return (f2 >= s2 && f1 < s1); +} + +bool BaseFiltersOk(SymCtx &c, const bool isLong, const int sh) +{ + double f,s,close,htf,adx; + if(!Copy1(c.fastHandle, sh, 0, f) || !Copy1(c.slowHandle, sh, 0, s)) return false; + close = iClose(c.name, Timeframe, sh); + if(MathAbs(f - s) / PipSize(c.name) < MinEmaGapPips) return false; + if(isLong && f <= s) return false; + if(!isLong && f >= s) return false; + if(UseHtfFilter) + { + if(!Copy1(c.htfHandle, sh, 0, htf)) return false; + if(isLong && close <= htf) return false; + if(!isLong && close >= htf) return false; + } + if(UseAdxFilter) + { + if(!Copy1(c.adxHandle, sh, 0, adx)) return false; + if(adx < AdxMin) return false; + } + return true; +} + +bool PullbackFiltersOk(SymCtx &c, const bool isLong, const int sh) +{ + double gapPips = PullbackMinGapPips > 0 ? PullbackMinGapPips : MinEmaGapPips; + double f,s,adx; + if(!Copy1(c.fastHandle, sh, 0, f) || !Copy1(c.slowHandle, sh, 0, s)) return false; + if(MathAbs(f - s) / PipSize(c.name) < gapPips) return false; + if(PullbackAdxMin > 0) + { + if(!Copy1(c.adxHandle, sh, 0, adx)) return false; + if(adx < PullbackAdxMin) return false; + } + return BaseFiltersOk(c, isLong, sh); +} + +bool PullbackLong(SymCtx &c, const int sh) +{ + double touch, close, low; + if(PullbackTouch == 0) { if(!Copy1(c.fastHandle, sh, 0, touch)) return false; } + else { if(!Copy1(c.slowHandle, sh, 0, touch)) return false; } + close = iClose(c.name, Timeframe, sh); + low = iLow(c.name, Timeframe, sh); + return (low <= touch && close > touch); +} + +bool PullbackShort(SymCtx &c, const int sh) +{ + double touch, close, high; + if(PullbackTouch == 0) { if(!Copy1(c.fastHandle, sh, 0, touch)) return false; } + else { if(!Copy1(c.slowHandle, sh, 0, touch)) return false; } + close = iClose(c.name, Timeframe, sh); + high = iHigh(c.name, Timeframe, sh); + return (high >= touch && close < touch); +} + +bool InLongLeg(SymCtx &c, const int barIndex) +{ + if(c.lastBullCrossBar < 0 || c.lastBullCrossBar <= c.lastBearCrossBar) return false; + return (barIndex - c.lastBullCrossBar <= TrendLegBars); +} + +bool InShortLeg(SymCtx &c, const int barIndex) +{ + if(c.lastBearCrossBar < 0 || c.lastBearCrossBar <= c.lastBullCrossBar) return false; + return (barIndex - c.lastBearCrossBar <= TrendLegBars); +} + +bool OpenTrade(SymCtx &c, const ENUM_ORDER_TYPE type, const double atr, const int barIndex, const bool isCross) +{ + if(OneTradePerSymbol && HasOurPosition(c.name, c.magic)) return false; + if(MaxSpreadPips > 0 && SpreadPips(c.name) > MaxSpreadPips) return false; + if(!InSession()) return false; + if(atr <= 0) return false; + if(isCross) { if(barIndex - c.lastCrossBar < CrossCooldown) return false; } + else { if(barIndex - c.lastPbBar < PullbackCooldown) return false; } + + double slDist = atr * AtrSlMult; + double tpDist = atr * AtrTpMult; + double ask = SymbolInfoDouble(c.name, SYMBOL_ASK); + double bid = SymbolInfoDouble(c.name, SYMBOL_BID); + g_trade.SetExpertMagicNumber(c.magic); + g_trade.SetDeviationInPoints(20); + + bool ok = false; + if(type == ORDER_TYPE_BUY) + ok = g_trade.Buy(LotSize, c.name, ask, ask - slDist, ask + tpDist, "SimpleEMA pf BUY"); + else + ok = g_trade.Sell(LotSize, c.name, bid, bid + slDist, bid - tpDist, "SimpleEMA pf SELL"); + + if(ok) + { + if(isCross) c.lastCrossBar = barIndex; + else c.lastPbBar = barIndex; + } + return ok; +} + +void ManagePosition(SymCtx &c) +{ + if(!HasOurPosition(c.name, c.magic)) return; + datetime openTime = (datetime)PositionGetInteger(POSITION_TIME); + int barsHeld = iBarShift(c.name, Timeframe, openTime, true); + if(MaxBarsInTrade > 0 && barsHeld >= MaxBarsInTrade) + { + g_trade.SetExpertMagicNumber(c.magic); + g_trade.PositionClose((ulong)PositionGetInteger(POSITION_TICKET)); + } +} + +void ProcessSymbol(SymCtx &c) +{ + ManagePosition(c); + if(!IsNewBar(c)) return; + + int barIndex = iBars(c.name, Timeframe); + double atr1; + if(!Copy1(c.atrHandle, 1, 0, atr1)) return; + + if(BullCross(c, 1)) { c.lastBullCrossBar = barIndex; c.activeLeg = 1; c.legPbCount = 0; } + if(BearCross(c, 1)) { c.lastBearCrossBar = barIndex; c.activeLeg = -1; c.legPbCount = 0; } + if(HasOurPosition(c.name, c.magic)) return; + + if(BullCross(c, 1) && BaseFiltersOk(c, true, 1)) + OpenTrade(c, ORDER_TYPE_BUY, atr1, barIndex, true); + else if(BearCross(c, 1) && BaseFiltersOk(c, false, 1)) + OpenTrade(c, ORDER_TYPE_SELL, atr1, barIndex, true); + else if(UsePullback && InLongLeg(c, barIndex) && c.activeLeg == 1 && c.legPbCount < MaxPullbacksPerLeg + && !BullCross(c, 1) && PullbackLong(c, 1) && PullbackFiltersOk(c, true, 1)) + { + if(OpenTrade(c, ORDER_TYPE_BUY, atr1, barIndex, false)) c.legPbCount++; + } + else if(UsePullback && InShortLeg(c, barIndex) && c.activeLeg == -1 && c.legPbCount < MaxPullbacksPerLeg + && !BearCross(c, 1) && PullbackShort(c, 1) && PullbackFiltersOk(c, false, 1)) + { + if(OpenTrade(c, ORDER_TYPE_SELL, atr1, barIndex, false)) c.legPbCount++; + } +} + +int ParseSymbols() +{ + string parts[]; + int n = StringSplit(SymbolList, ',', parts); + g_count = 0; + for(int i = 0; i < n && g_count < MAX_SYMS; i++) + { + string sym = parts[i]; + StringTrimLeft(sym); + StringTrimRight(sym); + if(StringLen(sym) == 0) continue; + if(!SymbolSelect(sym, true)) + { + Print("[SimpleEMA pf] skip unavailable: ", sym); + continue; + } + g_ctx[g_count].name = sym; + g_ctx[g_count].magic = MagicNumber + g_count; + g_ctx[g_count].lastBar = 0; + g_ctx[g_count].lastCrossBar = -100000; + g_ctx[g_count].lastPbBar = -100000; + g_ctx[g_count].legPbCount = 0; + g_ctx[g_count].activeLeg = 0; + g_ctx[g_count].lastBullCrossBar = -100000; + g_ctx[g_count].lastBearCrossBar = -100000; + g_count++; + } + return g_count; +} + +int OnInit() +{ + if(FastEmaPeriod >= SlowEmaPeriod) return INIT_PARAMETERS_INCORRECT; + if(ParseSymbols() <= 0) return INIT_FAILED; + + for(int i = 0; i < g_count; i++) + { + string sym = g_ctx[i].name; + g_ctx[i].fastHandle = iMA(sym, Timeframe, FastEmaPeriod, 0, MODE_EMA, PRICE_CLOSE); + g_ctx[i].slowHandle = iMA(sym, Timeframe, SlowEmaPeriod, 0, MODE_EMA, PRICE_CLOSE); + g_ctx[i].atrHandle = iATR(sym, Timeframe, AtrPeriod); + g_ctx[i].adxHandle = iADX(sym, Timeframe, AdxPeriod); + g_ctx[i].htfHandle = iMA(sym, PERIOD_H4, HtfEmaPeriod, 0, MODE_EMA, PRICE_CLOSE); + if(g_ctx[i].fastHandle == INVALID_HANDLE || g_ctx[i].slowHandle == INVALID_HANDLE || g_ctx[i].atrHandle == INVALID_HANDLE) + return INIT_FAILED; + } + Print("[SimpleEMA pf] loaded ", g_count, " symbols"); + return INIT_SUCCEEDED; +} + +void OnDeinit(const int reason) +{ + for(int i = 0; i < g_count; i++) + { + if(g_ctx[i].fastHandle != INVALID_HANDLE) IndicatorRelease(g_ctx[i].fastHandle); + if(g_ctx[i].slowHandle != INVALID_HANDLE) IndicatorRelease(g_ctx[i].slowHandle); + if(g_ctx[i].atrHandle != INVALID_HANDLE) IndicatorRelease(g_ctx[i].atrHandle); + if(g_ctx[i].adxHandle != INVALID_HANDLE) IndicatorRelease(g_ctx[i].adxHandle); + if(g_ctx[i].htfHandle != INVALID_HANDLE) IndicatorRelease(g_ctx[i].htfHandle); + } +} + +void OnTick() +{ + for(int i = 0; i < g_count; i++) + ProcessSymbol(g_ctx[i]); +} diff --git a/lab/EAs/SimpleEMA/main_v1.mq5 b/lab/EAs/SimpleEMA/main_v1.mq5 deleted file mode 100644 index c1c601e..0000000 --- a/lab/EAs/SimpleEMA/main_v1.mq5 +++ /dev/null @@ -1,297 +0,0 @@ -#property strict -#property version "1.10" - -#include - -input group "=== Market ===" -input string InpSymbol = "BTCUSD"; -input ENUM_TIMEFRAMES InpTimeframe = PERIOD_M15; -input double InpLots = 0.01; -input int InpSlippagePoints = 30; -input int InpMagic = 910011; - -input group "=== Signal ===" -input int InpEmaPeriod = 50; -input int InpBodyMinPoints = 100; -input bool InpUseAdxFilter = true; -input int InpAdxPeriod = 14; -input double InpAdxMin = 18.0; - -input group "=== Session Filter (Server Hour) ===" -input bool InpUseSessionFilter = false; -input int InpSessionStartHour = 6; -input int InpSessionEndHour = 22; - -input group "=== Risk ===" -input bool InpUseAtrStops = true; -input int InpAtrPeriod = 14; -input double InpSlAtrMult = 1.8; -input double InpTpAtrMult = 3.0; -input bool InpUseHardSL = true; -input bool InpUseHardTP = false; -input bool InpUseTrailingStop = true; -input double InpTrailAtrMult = 1.2; -input bool InpUseBreakEven = true; -input double InpBreakEvenAtrTrigger = 1.0; -input double InpBreakEvenLockPoints = 100; -input double InpFallbackSLPoints = 2500; -input double InpFallbackTPPoints = 4500; - -CTrade trade; -datetime g_lastBarTime = 0; - -bool IsNewBar(const string symbol, const ENUM_TIMEFRAMES tf) -{ - datetime t = iTime(symbol, tf, 0); - if(t <= 0 || t == g_lastBarTime) - return false; - g_lastBarTime = t; - return true; -} - -bool IsInAllowedSession() -{ - if(!InpUseSessionFilter) - return true; - - MqlDateTime dt; - if(!TimeToStruct(TimeCurrent(), dt)) - return true; - int h = dt.hour; - if(InpSessionStartHour <= InpSessionEndHour) - return (h >= InpSessionStartHour && h < InpSessionEndHour); - - // Overnight window, e.g. 22 -> 6 - return (h >= InpSessionStartHour || h < InpSessionEndHour); -} - -bool SelectOwnPosition(const string symbol, const int magic) -{ - if(!PositionSelect(symbol)) - return false; - return (int)PositionGetInteger(POSITION_MAGIC) == magic; -} - -double GetIndicatorValue(const int handle, const int bufferIndex, const int shift) -{ - if(handle == INVALID_HANDLE) - return 0.0; - - double buff[1]; - if(CopyBuffer(handle, bufferIndex, shift, 1, buff) <= 0) - return 0.0; - return buff[0]; -} - -double GetAtrPoints(const string symbol, const ENUM_TIMEFRAMES tf, const int period) -{ - int hAtr = iATR(symbol, tf, period); - double atr = GetIndicatorValue(hAtr, 0, 1); - if(hAtr != INVALID_HANDLE) - IndicatorRelease(hAtr); - if(atr <= 0.0) - return 0.0; - return atr / _Point; -} - -double GetEmaValue(const string symbol, const ENUM_TIMEFRAMES tf, const int period, const int shift) -{ - int hEma = iMA(symbol, tf, period, 0, MODE_EMA, PRICE_CLOSE); - double ema = GetIndicatorValue(hEma, 0, shift); - if(hEma != INVALID_HANDLE) - IndicatorRelease(hEma); - return ema; -} - -double GetAdxValue(const string symbol, const ENUM_TIMEFRAMES tf, const int period, const int shift) -{ - int hAdx = iADX(symbol, tf, period); - double adx = GetIndicatorValue(hAdx, 0, shift); - if(hAdx != INVALID_HANDLE) - IndicatorRelease(hAdx); - return adx; -} - -void ComputeStops(const bool isBuy, const double entry, double &sl, double &tp) -{ - double slPts = InpFallbackSLPoints; - double tpPts = InpFallbackTPPoints; - - if(InpUseAtrStops) - { - double atrPts = GetAtrPoints(InpSymbol, InpTimeframe, InpAtrPeriod); - if(atrPts > 0.0) - { - slPts = MathMax(atrPts * InpSlAtrMult, 100.0); - tpPts = MathMax(atrPts * InpTpAtrMult, 100.0); - } - } - - if(isBuy) - { - sl = InpUseHardSL ? (entry - slPts * _Point) : 0.0; - tp = InpUseHardTP ? (entry + tpPts * _Point) : 0.0; - } - else - { - sl = InpUseHardSL ? (entry + slPts * _Point) : 0.0; - tp = InpUseHardTP ? (entry - tpPts * _Point) : 0.0; - } -} - -void ManageOpenPosition() -{ - if(!SelectOwnPosition(InpSymbol, InpMagic)) - return; - - MqlTick tick; - if(!SymbolInfoTick(InpSymbol, tick)) - return; - - ENUM_POSITION_TYPE posType = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); - double openPrice = PositionGetDouble(POSITION_PRICE_OPEN); - double curSL = PositionGetDouble(POSITION_SL); - double curTP = PositionGetDouble(POSITION_TP); - - double atrPts = GetAtrPoints(InpSymbol, InpTimeframe, InpAtrPeriod); - if(atrPts <= 0.0) - atrPts = InpFallbackSLPoints; - - double triggerPts = atrPts * InpBreakEvenAtrTrigger; - double trailPts = MathMax(atrPts * InpTrailAtrMult, 50.0); - - double newSL = curSL; - bool needModify = false; - - if(posType == POSITION_TYPE_BUY) - { - double profitPts = (tick.bid - openPrice) / _Point; - - if(InpUseBreakEven && profitPts >= triggerPts) - { - double beSL = openPrice + InpBreakEvenLockPoints * _Point; - if(newSL == 0.0 || beSL > newSL) - { - newSL = beSL; - needModify = true; - } - } - - if(InpUseTrailingStop) - { - double trailSL = tick.bid - trailPts * _Point; - if((newSL == 0.0 || trailSL > newSL) && trailSL < tick.bid) - { - newSL = trailSL; - needModify = true; - } - } - } - else if(posType == POSITION_TYPE_SELL) - { - double profitPts = (openPrice - tick.ask) / _Point; - - if(InpUseBreakEven && profitPts >= triggerPts) - { - double beSL = openPrice - InpBreakEvenLockPoints * _Point; - if(newSL == 0.0 || beSL < newSL) - { - newSL = beSL; - needModify = true; - } - } - - if(InpUseTrailingStop) - { - double trailSL = tick.ask + trailPts * _Point; - if((newSL == 0.0 || trailSL < newSL) && trailSL > tick.ask) - { - newSL = trailSL; - needModify = true; - } - } - } - - if(needModify) - trade.PositionModify(InpSymbol, newSL, curTP); -} - -int OnInit() -{ - if(!SymbolSelect(InpSymbol, true)) - { - Print("Failed to select symbol: ", InpSymbol); - return(INIT_FAILED); - } - - trade.SetDeviationInPoints(InpSlippagePoints); - trade.SetExpertMagicNumber(InpMagic); - return(INIT_SUCCEEDED); -} - -void OnTick() -{ - if(_Symbol != InpSymbol) - return; - - ManageOpenPosition(); - if(!IsInAllowedSession()) - return; - if(!IsNewBar(InpSymbol, InpTimeframe)) - return; - - double o1 = iOpen(InpSymbol, InpTimeframe, 1); - double c1 = iClose(InpSymbol, InpTimeframe, 1); - double c2 = iClose(InpSymbol, InpTimeframe, 2); - double e1 = GetEmaValue(InpSymbol, InpTimeframe, InpEmaPeriod, 1); - double e2 = GetEmaValue(InpSymbol, InpTimeframe, InpEmaPeriod, 2); - if(e1 == 0.0 || e2 == 0.0) - return; - - if(InpUseAdxFilter) - { - double adx = GetAdxValue(InpSymbol, InpTimeframe, InpAdxPeriod, 1); - if(adx < InpAdxMin) - return; - } - - bool bullishBody = (c1 > o1) && ((c1 - o1) / _Point >= InpBodyMinPoints); - bool bearishBody = (o1 > c1) && ((o1 - c1) / _Point >= InpBodyMinPoints); - bool crossedUp = (c2 <= e2 && c1 > e1); - bool crossedDown = (c2 >= e2 && c1 < e1); - - bool longSignal = crossedUp && bullishBody; - bool shortSignal = crossedDown && bearishBody; - - bool hasPos = SelectOwnPosition(InpSymbol, InpMagic); - if(hasPos) - { - ENUM_POSITION_TYPE posType = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); - if((posType == POSITION_TYPE_BUY && shortSignal) || - (posType == POSITION_TYPE_SELL && longSignal)) - { - trade.PositionClose(InpSymbol); - hasPos = false; - } - } - - if(hasPos) - return; - - MqlTick tick; - if(!SymbolInfoTick(InpSymbol, tick)) - return; - - double sl = 0.0, tp = 0.0; - if(longSignal) - { - ComputeStops(true, tick.ask, sl, tp); - trade.Buy(InpLots, InpSymbol, tick.ask, sl, tp, "Simple EMA PA Cross V1"); - } - else if(shortSignal) - { - ComputeStops(false, tick.bid, sl, tp); - trade.Sell(InpLots, InpSymbol, tick.bid, sl, tp, "Simple EMA PA Cross V1"); - } -} - diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_AUDCAD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_AUDCAD.set new file mode 100644 index 0000000..aeee219 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_AUDCAD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_AUDJPY.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_AUDJPY.set new file mode 100644 index 0000000..150939b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_AUDJPY.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=24 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_AUDNZD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_AUDNZD.set new file mode 100644 index 0000000..985efaf --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_AUDNZD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_AUDUSD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_AUDUSD.set new file mode 100644 index 0000000..f9e9e6e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_AUDUSD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_BTCUSD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_BTCUSD.set new file mode 100644 index 0000000..57d4a4c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_BTCUSD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_CADJPY.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_CADJPY.set new file mode 100644 index 0000000..c1ceb28 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_CADJPY.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_CHFJPY.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_CHFJPY.set new file mode 100644 index 0000000..406f633 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_CHFJPY.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_ETHUSD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_ETHUSD.set new file mode 100644 index 0000000..69f1a35 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_ETHUSD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURAUD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURAUD.set new file mode 100644 index 0000000..9df826a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURAUD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURCAD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURCAD.set new file mode 100644 index 0000000..1305bb1 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURCAD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURCHF.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURCHF.set new file mode 100644 index 0000000..1e25719 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURCHF.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURGBP.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURGBP.set new file mode 100644 index 0000000..f9e9e6e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURGBP.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURJPY.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURJPY.set new file mode 100644 index 0000000..934aaae --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURJPY.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURNZD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURNZD.set new file mode 100644 index 0000000..239698b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURNZD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURUSD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURUSD.set new file mode 100644 index 0000000..285056b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_EURUSD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=6 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GBPAUD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GBPAUD.set new file mode 100644 index 0000000..239698b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GBPAUD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GBPCAD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GBPCAD.set new file mode 100644 index 0000000..cc8a229 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GBPCAD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GBPCHF.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GBPCHF.set new file mode 100644 index 0000000..3005607 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GBPCHF.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GBPJPY.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GBPJPY.set new file mode 100644 index 0000000..7e46d56 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GBPJPY.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GBPNZD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GBPNZD.set new file mode 100644 index 0000000..fa0b178 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GBPNZD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=14 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GBPUSD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GBPUSD.set new file mode 100644 index 0000000..40c1048 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GBPUSD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GER40.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GER40.set new file mode 100644 index 0000000..dbeb957 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_GER40.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_JPN225.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_JPN225.set new file mode 100644 index 0000000..4459b19 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_JPN225.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=25 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_NAS100.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_NAS100.set new file mode 100644 index 0000000..1b433c3 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_NAS100.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_NZDCAD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_NZDCAD.set new file mode 100644 index 0000000..5db22ed --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_NZDCAD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=5 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_NZDJPY.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_NZDJPY.set new file mode 100644 index 0000000..239698b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_NZDJPY.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_NZDUSD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_NZDUSD.set new file mode 100644 index 0000000..48a7b25 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_NZDUSD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_UK100.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_UK100.set new file mode 100644 index 0000000..5769585 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_UK100.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_US30.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_US30.set new file mode 100644 index 0000000..5769585 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_US30.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_US500.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_US500.set new file mode 100644 index 0000000..b92d260 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_US500.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_USDCAD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_USDCAD.set new file mode 100644 index 0000000..40c1048 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_USDCAD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_USDCHF.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_USDCHF.set new file mode 100644 index 0000000..7806a93 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_USDCHF.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_USDCNH.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_USDCNH.set new file mode 100644 index 0000000..1571f54 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_USDCNH.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_USDJPY.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_USDJPY.set new file mode 100644 index 0000000..45a339c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_USDJPY.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_XAGUSD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_XAGUSD.set new file mode 100644 index 0000000..43c02cc --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_XAGUSD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_XAUUSD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_XAUUSD.set new file mode 100644 index 0000000..f591f4f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_XAUUSD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=35 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_XBRUSD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_XBRUSD.set new file mode 100644 index 0000000..4d2a9c1 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_XBRUSD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_XPTUSD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_XPTUSD.set new file mode 100644 index 0000000..6cf8b3a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_XPTUSD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_XTIUSD.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_XTIUSD.set new file mode 100644 index 0000000..faf4268 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_XTIUSD.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_1.set new file mode 100644 index 0000000..78d97e5 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_10.set new file mode 100644 index 0000000..600bf69 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_11.set new file mode 100644 index 0000000..aea339d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_12.set new file mode 100644 index 0000000..985efaf --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_13.set new file mode 100644 index 0000000..8d3e24f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_14.set new file mode 100644 index 0000000..3005607 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_15.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_15.set new file mode 100644 index 0000000..f19af1c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_15.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=24 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_16.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_16.set new file mode 100644 index 0000000..4e7d96c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_16.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_17.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_17.set new file mode 100644 index 0000000..9d6ba57 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_17.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=22 +TrendLegBars=72 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_18.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_18.set new file mode 100644 index 0000000..2bfe3a2 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_18.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_2.set new file mode 100644 index 0000000..94597cd --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_3.set new file mode 100644 index 0000000..cc8a229 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_4.set new file mode 100644 index 0000000..beeb095 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_5.set new file mode 100644 index 0000000..f192d68 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_6.set new file mode 100644 index 0000000..b7d6ecb --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_7.set new file mode 100644 index 0000000..7e46d56 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_8.set new file mode 100644 index 0000000..3899e23 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_9.set new file mode 100644 index 0000000..239698b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDCAD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_1.set new file mode 100644 index 0000000..06f1f78 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_10.set new file mode 100644 index 0000000..00707c6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_11.set new file mode 100644 index 0000000..a6d8885 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_12.set new file mode 100644 index 0000000..ead7faf --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_13.set new file mode 100644 index 0000000..c1ceb28 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_14.set new file mode 100644 index 0000000..aad0df3 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_15.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_15.set new file mode 100644 index 0000000..150939b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_15.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=24 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_16.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_16.set new file mode 100644 index 0000000..ac143d2 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_16.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_17.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_17.set new file mode 100644 index 0000000..1822620 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_17.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=22 +TrendLegBars=72 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_18.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_18.set new file mode 100644 index 0000000..3dc1111 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_18.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_2.set new file mode 100644 index 0000000..22b4f44 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_3.set new file mode 100644 index 0000000..934aaae --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_4.set new file mode 100644 index 0000000..d470a8e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_5.set new file mode 100644 index 0000000..406f633 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_6.set new file mode 100644 index 0000000..45a339c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_7.set new file mode 100644 index 0000000..eb1667c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_8.set new file mode 100644 index 0000000..f221c37 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_9.set new file mode 100644 index 0000000..f72bd63 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDJPY_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_1.set new file mode 100644 index 0000000..78d97e5 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_10.set new file mode 100644 index 0000000..600bf69 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_11.set new file mode 100644 index 0000000..aea339d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_12.set new file mode 100644 index 0000000..985efaf --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_13.set new file mode 100644 index 0000000..8d3e24f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_14.set new file mode 100644 index 0000000..3005607 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_2.set new file mode 100644 index 0000000..94597cd --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_3.set new file mode 100644 index 0000000..cc8a229 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_4.set new file mode 100644 index 0000000..beeb095 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_5.set new file mode 100644 index 0000000..f192d68 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_6.set new file mode 100644 index 0000000..b7d6ecb --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_7.set new file mode 100644 index 0000000..7e46d56 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_8.set new file mode 100644 index 0000000..3899e23 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_9.set new file mode 100644 index 0000000..239698b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDNZD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_1.set new file mode 100644 index 0000000..6e8d045 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_10.set new file mode 100644 index 0000000..e969d7d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_11.set new file mode 100644 index 0000000..3d7897a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_12.set new file mode 100644 index 0000000..7806a93 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_13.set new file mode 100644 index 0000000..40c1048 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_14.set new file mode 100644 index 0000000..abc7f7f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_2.set new file mode 100644 index 0000000..7adcc32 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_3.set new file mode 100644 index 0000000..34b1a03 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_4.set new file mode 100644 index 0000000..a5faa2a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_5.set new file mode 100644 index 0000000..4524e0b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_6.set new file mode 100644 index 0000000..ec73653 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_7.set new file mode 100644 index 0000000..9d26c12 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_8.set new file mode 100644 index 0000000..1147c92 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_9.set new file mode 100644 index 0000000..f9e9e6e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_AUDUSD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_1.set new file mode 100644 index 0000000..59f160f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_10.set new file mode 100644 index 0000000..a75638c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_11.set new file mode 100644 index 0000000..1f23ee8 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_12.set new file mode 100644 index 0000000..c0c1ee8 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_13.set new file mode 100644 index 0000000..df6820f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_14.set new file mode 100644 index 0000000..1a7dd76 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_2.set new file mode 100644 index 0000000..fa96bb2 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_3.set new file mode 100644 index 0000000..7d23307 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_4.set new file mode 100644 index 0000000..57d4a4c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_5.set new file mode 100644 index 0000000..c9ff059 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_6.set new file mode 100644 index 0000000..d7b5ebb --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_7.set new file mode 100644 index 0000000..ac4e220 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_8.set new file mode 100644 index 0000000..43bdeae --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_9.set new file mode 100644 index 0000000..6d5cf05 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_BTCUSD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_1.set new file mode 100644 index 0000000..06f1f78 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_10.set new file mode 100644 index 0000000..00707c6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_11.set new file mode 100644 index 0000000..a6d8885 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_12.set new file mode 100644 index 0000000..ead7faf --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_13.set new file mode 100644 index 0000000..c1ceb28 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_14.set new file mode 100644 index 0000000..aad0df3 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_2.set new file mode 100644 index 0000000..22b4f44 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_3.set new file mode 100644 index 0000000..934aaae --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_4.set new file mode 100644 index 0000000..d470a8e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_5.set new file mode 100644 index 0000000..406f633 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_6.set new file mode 100644 index 0000000..45a339c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_7.set new file mode 100644 index 0000000..eb1667c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_8.set new file mode 100644 index 0000000..f221c37 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_9.set new file mode 100644 index 0000000..f72bd63 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CADJPY_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_1.set new file mode 100644 index 0000000..06f1f78 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_10.set new file mode 100644 index 0000000..00707c6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_11.set new file mode 100644 index 0000000..a6d8885 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_12.set new file mode 100644 index 0000000..ead7faf --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_13.set new file mode 100644 index 0000000..c1ceb28 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_14.set new file mode 100644 index 0000000..aad0df3 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_2.set new file mode 100644 index 0000000..22b4f44 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_3.set new file mode 100644 index 0000000..934aaae --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_4.set new file mode 100644 index 0000000..d470a8e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_5.set new file mode 100644 index 0000000..406f633 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_6.set new file mode 100644 index 0000000..45a339c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_7.set new file mode 100644 index 0000000..eb1667c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_8.set new file mode 100644 index 0000000..f221c37 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_9.set new file mode 100644 index 0000000..f72bd63 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_CHFJPY_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_1.set new file mode 100644 index 0000000..333c457 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_10.set new file mode 100644 index 0000000..d00e1e9 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_11.set new file mode 100644 index 0000000..5e38f77 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_12.set new file mode 100644 index 0000000..69f1a35 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_13.set new file mode 100644 index 0000000..c4ec5aa --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_14.set new file mode 100644 index 0000000..1beb576 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_2.set new file mode 100644 index 0000000..70c61e0 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_3.set new file mode 100644 index 0000000..3d14644 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_4.set new file mode 100644 index 0000000..0524361 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_5.set new file mode 100644 index 0000000..0e5f5f7 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_6.set new file mode 100644 index 0000000..232d5ec --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_7.set new file mode 100644 index 0000000..91e15be --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_8.set new file mode 100644 index 0000000..fd090f2 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_9.set new file mode 100644 index 0000000..592be64 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_ETHUSD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_1.set new file mode 100644 index 0000000..8a5de85 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_10.set new file mode 100644 index 0000000..9ff4062 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_11.set new file mode 100644 index 0000000..92c8621 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_12.set new file mode 100644 index 0000000..faaafd6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_13.set new file mode 100644 index 0000000..9df826a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_14.set new file mode 100644 index 0000000..7ea1aed --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_2.set new file mode 100644 index 0000000..91f5b9f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_3.set new file mode 100644 index 0000000..5ff18a0 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_4.set new file mode 100644 index 0000000..d7d3c86 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_5.set new file mode 100644 index 0000000..fada0d9 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_6.set new file mode 100644 index 0000000..eeafb84 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_7.set new file mode 100644 index 0000000..455be79 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_8.set new file mode 100644 index 0000000..1e25719 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_9.set new file mode 100644 index 0000000..1305bb1 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURAUD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_1.set new file mode 100644 index 0000000..8a5de85 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_10.set new file mode 100644 index 0000000..9ff4062 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_11.set new file mode 100644 index 0000000..92c8621 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_12.set new file mode 100644 index 0000000..faaafd6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_13.set new file mode 100644 index 0000000..9df826a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_14.set new file mode 100644 index 0000000..7ea1aed --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_2.set new file mode 100644 index 0000000..91f5b9f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_3.set new file mode 100644 index 0000000..5ff18a0 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_4.set new file mode 100644 index 0000000..d7d3c86 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_5.set new file mode 100644 index 0000000..fada0d9 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_6.set new file mode 100644 index 0000000..eeafb84 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_7.set new file mode 100644 index 0000000..455be79 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_8.set new file mode 100644 index 0000000..1e25719 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_9.set new file mode 100644 index 0000000..1305bb1 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCAD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_1.set new file mode 100644 index 0000000..8a5de85 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_10.set new file mode 100644 index 0000000..9ff4062 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_11.set new file mode 100644 index 0000000..92c8621 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_12.set new file mode 100644 index 0000000..faaafd6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_13.set new file mode 100644 index 0000000..9df826a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_14.set new file mode 100644 index 0000000..7ea1aed --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_2.set new file mode 100644 index 0000000..91f5b9f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_3.set new file mode 100644 index 0000000..5ff18a0 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_4.set new file mode 100644 index 0000000..d7d3c86 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_5.set new file mode 100644 index 0000000..fada0d9 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_6.set new file mode 100644 index 0000000..eeafb84 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_7.set new file mode 100644 index 0000000..455be79 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_8.set new file mode 100644 index 0000000..1e25719 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_9.set new file mode 100644 index 0000000..1305bb1 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURCHF_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_1.set new file mode 100644 index 0000000..6e8d045 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_10.set new file mode 100644 index 0000000..e969d7d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_11.set new file mode 100644 index 0000000..3d7897a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_12.set new file mode 100644 index 0000000..7806a93 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_13.set new file mode 100644 index 0000000..40c1048 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_14.set new file mode 100644 index 0000000..abc7f7f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_2.set new file mode 100644 index 0000000..7adcc32 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_3.set new file mode 100644 index 0000000..34b1a03 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_4.set new file mode 100644 index 0000000..a5faa2a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_5.set new file mode 100644 index 0000000..4524e0b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_6.set new file mode 100644 index 0000000..ec73653 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_7.set new file mode 100644 index 0000000..9d26c12 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_8.set new file mode 100644 index 0000000..1147c92 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_9.set new file mode 100644 index 0000000..f9e9e6e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURGBP_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_1.set new file mode 100644 index 0000000..06f1f78 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_10.set new file mode 100644 index 0000000..00707c6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_11.set new file mode 100644 index 0000000..a6d8885 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_12.set new file mode 100644 index 0000000..ead7faf --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_13.set new file mode 100644 index 0000000..c1ceb28 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_14.set new file mode 100644 index 0000000..aad0df3 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_2.set new file mode 100644 index 0000000..22b4f44 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_3.set new file mode 100644 index 0000000..934aaae --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_4.set new file mode 100644 index 0000000..d470a8e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_5.set new file mode 100644 index 0000000..406f633 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_6.set new file mode 100644 index 0000000..45a339c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_7.set new file mode 100644 index 0000000..eb1667c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_8.set new file mode 100644 index 0000000..f221c37 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_9.set new file mode 100644 index 0000000..f72bd63 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURJPY_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_1.set new file mode 100644 index 0000000..78d97e5 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_10.set new file mode 100644 index 0000000..600bf69 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_11.set new file mode 100644 index 0000000..aea339d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_12.set new file mode 100644 index 0000000..985efaf --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_13.set new file mode 100644 index 0000000..8d3e24f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_14.set new file mode 100644 index 0000000..3005607 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_2.set new file mode 100644 index 0000000..94597cd --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_3.set new file mode 100644 index 0000000..cc8a229 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_4.set new file mode 100644 index 0000000..beeb095 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_5.set new file mode 100644 index 0000000..f192d68 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_6.set new file mode 100644 index 0000000..b7d6ecb --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_7.set new file mode 100644 index 0000000..7e46d56 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_8.set new file mode 100644 index 0000000..3899e23 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_9.set new file mode 100644 index 0000000..239698b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURNZD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_1.set new file mode 100644 index 0000000..f2ec870 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=6 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_10.set new file mode 100644 index 0000000..dc795d8 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=6 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_11.set new file mode 100644 index 0000000..660ae45 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=6 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_12.set new file mode 100644 index 0000000..285056b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=6 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_13.set new file mode 100644 index 0000000..6fe42ef --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=6 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_14.set new file mode 100644 index 0000000..0ee5cdb --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=6 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_2.set new file mode 100644 index 0000000..42d60b6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=6 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_3.set new file mode 100644 index 0000000..4eba7cf --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=6 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_4.set new file mode 100644 index 0000000..13fb84e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=6 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_5.set new file mode 100644 index 0000000..e091e77 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=6 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_6.set new file mode 100644 index 0000000..d5e7e9e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=6 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_7.set new file mode 100644 index 0000000..bfb7023 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=6 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_8.set new file mode 100644 index 0000000..984a146 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=6 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_9.set new file mode 100644 index 0000000..11f92eb --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_EURUSD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=6 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_1.set new file mode 100644 index 0000000..78d97e5 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_10.set new file mode 100644 index 0000000..600bf69 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_11.set new file mode 100644 index 0000000..aea339d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_12.set new file mode 100644 index 0000000..985efaf --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_13.set new file mode 100644 index 0000000..8d3e24f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_14.set new file mode 100644 index 0000000..3005607 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_2.set new file mode 100644 index 0000000..94597cd --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_3.set new file mode 100644 index 0000000..cc8a229 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_4.set new file mode 100644 index 0000000..beeb095 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_5.set new file mode 100644 index 0000000..f192d68 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_6.set new file mode 100644 index 0000000..b7d6ecb --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_7.set new file mode 100644 index 0000000..7e46d56 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_8.set new file mode 100644 index 0000000..3899e23 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_9.set new file mode 100644 index 0000000..239698b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPAUD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_1.set new file mode 100644 index 0000000..78d97e5 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_10.set new file mode 100644 index 0000000..600bf69 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_11.set new file mode 100644 index 0000000..aea339d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_12.set new file mode 100644 index 0000000..985efaf --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_13.set new file mode 100644 index 0000000..8d3e24f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_14.set new file mode 100644 index 0000000..3005607 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_2.set new file mode 100644 index 0000000..94597cd --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_3.set new file mode 100644 index 0000000..cc8a229 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_4.set new file mode 100644 index 0000000..beeb095 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_5.set new file mode 100644 index 0000000..f192d68 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_6.set new file mode 100644 index 0000000..b7d6ecb --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_7.set new file mode 100644 index 0000000..7e46d56 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_8.set new file mode 100644 index 0000000..3899e23 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_9.set new file mode 100644 index 0000000..239698b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCAD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_1.set new file mode 100644 index 0000000..78d97e5 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_10.set new file mode 100644 index 0000000..600bf69 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_11.set new file mode 100644 index 0000000..aea339d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_12.set new file mode 100644 index 0000000..985efaf --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_13.set new file mode 100644 index 0000000..8d3e24f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_14.set new file mode 100644 index 0000000..3005607 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_2.set new file mode 100644 index 0000000..94597cd --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_3.set new file mode 100644 index 0000000..cc8a229 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_4.set new file mode 100644 index 0000000..beeb095 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_5.set new file mode 100644 index 0000000..f192d68 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_6.set new file mode 100644 index 0000000..b7d6ecb --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_7.set new file mode 100644 index 0000000..7e46d56 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_8.set new file mode 100644 index 0000000..3899e23 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_9.set new file mode 100644 index 0000000..239698b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPCHF_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_1.set new file mode 100644 index 0000000..78d97e5 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_10.set new file mode 100644 index 0000000..600bf69 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_11.set new file mode 100644 index 0000000..aea339d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_12.set new file mode 100644 index 0000000..985efaf --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_13.set new file mode 100644 index 0000000..8d3e24f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_14.set new file mode 100644 index 0000000..3005607 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_2.set new file mode 100644 index 0000000..94597cd --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_3.set new file mode 100644 index 0000000..cc8a229 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_4.set new file mode 100644 index 0000000..beeb095 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_5.set new file mode 100644 index 0000000..f192d68 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_6.set new file mode 100644 index 0000000..b7d6ecb --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_7.set new file mode 100644 index 0000000..7e46d56 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_8.set new file mode 100644 index 0000000..3899e23 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_9.set new file mode 100644 index 0000000..239698b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPJPY_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_1.set new file mode 100644 index 0000000..cec82b8 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=14 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_10.set new file mode 100644 index 0000000..8cc801d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=14 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_11.set new file mode 100644 index 0000000..c9934b1 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=14 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_12.set new file mode 100644 index 0000000..f24155a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=14 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_13.set new file mode 100644 index 0000000..af8fa98 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=14 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_14.set new file mode 100644 index 0000000..1dff113 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=14 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_15.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_15.set new file mode 100644 index 0000000..1ef41b7 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_15.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=24 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=14 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_16.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_16.set new file mode 100644 index 0000000..6d63714 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_16.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=14 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_17.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_17.set new file mode 100644 index 0000000..c07b2ba --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_17.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=22 +TrendLegBars=72 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=14 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_18.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_18.set new file mode 100644 index 0000000..02eda30 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_18.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=14 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_2.set new file mode 100644 index 0000000..85ab6f6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=14 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_3.set new file mode 100644 index 0000000..e04df5c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=14 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_4.set new file mode 100644 index 0000000..8b38b6c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=14 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_5.set new file mode 100644 index 0000000..50859b2 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=14 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_6.set new file mode 100644 index 0000000..c51d179 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=14 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_7.set new file mode 100644 index 0000000..b89537d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=14 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_8.set new file mode 100644 index 0000000..a87cb55 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=14 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_9.set new file mode 100644 index 0000000..7f40b0b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPNZD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=14 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_1.set new file mode 100644 index 0000000..6e8d045 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_10.set new file mode 100644 index 0000000..e969d7d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_11.set new file mode 100644 index 0000000..3d7897a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_12.set new file mode 100644 index 0000000..7806a93 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_13.set new file mode 100644 index 0000000..40c1048 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_14.set new file mode 100644 index 0000000..abc7f7f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_2.set new file mode 100644 index 0000000..7adcc32 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_3.set new file mode 100644 index 0000000..34b1a03 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_4.set new file mode 100644 index 0000000..a5faa2a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_5.set new file mode 100644 index 0000000..4524e0b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_6.set new file mode 100644 index 0000000..ec73653 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_7.set new file mode 100644 index 0000000..9d26c12 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_8.set new file mode 100644 index 0000000..1147c92 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_9.set new file mode 100644 index 0000000..f9e9e6e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GBPUSD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_1.set new file mode 100644 index 0000000..ec937f5 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_10.set new file mode 100644 index 0000000..ffd1c23 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_11.set new file mode 100644 index 0000000..3c7b886 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_12.set new file mode 100644 index 0000000..1b433c3 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_13.set new file mode 100644 index 0000000..6567124 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_14.set new file mode 100644 index 0000000..440d5df --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_2.set new file mode 100644 index 0000000..bb4bc74 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_3.set new file mode 100644 index 0000000..4ade7c6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_4.set new file mode 100644 index 0000000..9934f47 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_5.set new file mode 100644 index 0000000..ade2244 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_6.set new file mode 100644 index 0000000..46811a3 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_7.set new file mode 100644 index 0000000..deca615 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_8.set new file mode 100644 index 0000000..dbeb957 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_9.set new file mode 100644 index 0000000..5769585 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_GER40_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_1.set new file mode 100644 index 0000000..8bc2273 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=25 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_10.set new file mode 100644 index 0000000..134bf5c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=25 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_11.set new file mode 100644 index 0000000..6c3a9ff --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=25 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_12.set new file mode 100644 index 0000000..26fd7dd --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=25 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_13.set new file mode 100644 index 0000000..e694dd2 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=25 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_14.set new file mode 100644 index 0000000..0ba83d9 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=25 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_2.set new file mode 100644 index 0000000..dafb5fd --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=25 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_3.set new file mode 100644 index 0000000..2c9503b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=25 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_4.set new file mode 100644 index 0000000..1c484e4 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=25 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_5.set new file mode 100644 index 0000000..4459b19 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=25 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_6.set new file mode 100644 index 0000000..35b807c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=25 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_7.set new file mode 100644 index 0000000..7658aa0 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=25 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_8.set new file mode 100644 index 0000000..6b9307f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=25 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_9.set new file mode 100644 index 0000000..8d351a6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_JPN225_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=25 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_1.set new file mode 100644 index 0000000..ec937f5 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_10.set new file mode 100644 index 0000000..ffd1c23 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_11.set new file mode 100644 index 0000000..3c7b886 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_12.set new file mode 100644 index 0000000..1b433c3 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_13.set new file mode 100644 index 0000000..6567124 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_14.set new file mode 100644 index 0000000..440d5df --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_2.set new file mode 100644 index 0000000..bb4bc74 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_3.set new file mode 100644 index 0000000..4ade7c6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_4.set new file mode 100644 index 0000000..9934f47 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_5.set new file mode 100644 index 0000000..ade2244 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_6.set new file mode 100644 index 0000000..46811a3 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_7.set new file mode 100644 index 0000000..deca615 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_8.set new file mode 100644 index 0000000..dbeb957 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_9.set new file mode 100644 index 0000000..5769585 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NAS100_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_1.set new file mode 100644 index 0000000..78d97e5 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_10.set new file mode 100644 index 0000000..600bf69 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_11.set new file mode 100644 index 0000000..aea339d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_12.set new file mode 100644 index 0000000..985efaf --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_13.set new file mode 100644 index 0000000..8d3e24f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_14.set new file mode 100644 index 0000000..3005607 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_15.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_15.set new file mode 100644 index 0000000..f19af1c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_15.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=24 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_16.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_16.set new file mode 100644 index 0000000..4e7d96c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_16.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_17.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_17.set new file mode 100644 index 0000000..9d6ba57 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_17.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=22 +TrendLegBars=72 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_18.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_18.set new file mode 100644 index 0000000..2bfe3a2 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_18.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_2.set new file mode 100644 index 0000000..94597cd --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_3.set new file mode 100644 index 0000000..cc8a229 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_4.set new file mode 100644 index 0000000..beeb095 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_5.set new file mode 100644 index 0000000..f192d68 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_6.set new file mode 100644 index 0000000..b7d6ecb --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_7.set new file mode 100644 index 0000000..7e46d56 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_8.set new file mode 100644 index 0000000..3899e23 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_9.set new file mode 100644 index 0000000..239698b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDCAD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_1.set new file mode 100644 index 0000000..78d97e5 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_10.set new file mode 100644 index 0000000..600bf69 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_11.set new file mode 100644 index 0000000..aea339d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_12.set new file mode 100644 index 0000000..985efaf --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_13.set new file mode 100644 index 0000000..8d3e24f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_14.set new file mode 100644 index 0000000..3005607 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_2.set new file mode 100644 index 0000000..94597cd --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_3.set new file mode 100644 index 0000000..cc8a229 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_4.set new file mode 100644 index 0000000..beeb095 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_5.set new file mode 100644 index 0000000..f192d68 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_6.set new file mode 100644 index 0000000..b7d6ecb --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_7.set new file mode 100644 index 0000000..7e46d56 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_8.set new file mode 100644 index 0000000..3899e23 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_9.set new file mode 100644 index 0000000..239698b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDJPY_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_1.set new file mode 100644 index 0000000..8a5de85 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_10.set new file mode 100644 index 0000000..9ff4062 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_11.set new file mode 100644 index 0000000..92c8621 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_12.set new file mode 100644 index 0000000..faaafd6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_13.set new file mode 100644 index 0000000..9df826a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_14.set new file mode 100644 index 0000000..7ea1aed --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_15.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_15.set new file mode 100644 index 0000000..21f6aba --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_15.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=24 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_16.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_16.set new file mode 100644 index 0000000..148228e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_16.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_17.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_17.set new file mode 100644 index 0000000..965f978 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_17.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=22 +TrendLegBars=72 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_18.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_18.set new file mode 100644 index 0000000..5ff637d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_18.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_2.set new file mode 100644 index 0000000..91f5b9f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_3.set new file mode 100644 index 0000000..5ff18a0 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_4.set new file mode 100644 index 0000000..d7d3c86 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_5.set new file mode 100644 index 0000000..fada0d9 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_6.set new file mode 100644 index 0000000..eeafb84 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_7.set new file mode 100644 index 0000000..455be79 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_8.set new file mode 100644 index 0000000..1e25719 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_9.set new file mode 100644 index 0000000..1305bb1 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_NZDUSD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=10 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_1.set new file mode 100644 index 0000000..ec937f5 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_10.set new file mode 100644 index 0000000..ffd1c23 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_11.set new file mode 100644 index 0000000..3c7b886 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_12.set new file mode 100644 index 0000000..1b433c3 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_13.set new file mode 100644 index 0000000..6567124 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_14.set new file mode 100644 index 0000000..440d5df --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_2.set new file mode 100644 index 0000000..bb4bc74 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_3.set new file mode 100644 index 0000000..4ade7c6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_4.set new file mode 100644 index 0000000..9934f47 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_5.set new file mode 100644 index 0000000..ade2244 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_6.set new file mode 100644 index 0000000..46811a3 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_7.set new file mode 100644 index 0000000..deca615 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_8.set new file mode 100644 index 0000000..dbeb957 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_9.set new file mode 100644 index 0000000..5769585 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_UK100_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_1.set new file mode 100644 index 0000000..ec937f5 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_10.set new file mode 100644 index 0000000..ffd1c23 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_11.set new file mode 100644 index 0000000..3c7b886 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_12.set new file mode 100644 index 0000000..1b433c3 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_13.set new file mode 100644 index 0000000..6567124 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_14.set new file mode 100644 index 0000000..440d5df --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_2.set new file mode 100644 index 0000000..bb4bc74 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_3.set new file mode 100644 index 0000000..4ade7c6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_4.set new file mode 100644 index 0000000..9934f47 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_5.set new file mode 100644 index 0000000..ade2244 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_6.set new file mode 100644 index 0000000..46811a3 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_7.set new file mode 100644 index 0000000..deca615 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_8.set new file mode 100644 index 0000000..dbeb957 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_9.set new file mode 100644 index 0000000..5769585 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US30_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=20 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_1.set new file mode 100644 index 0000000..c7e376f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_10.set new file mode 100644 index 0000000..b8da5c6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_11.set new file mode 100644 index 0000000..193133a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_12.set new file mode 100644 index 0000000..cde1f38 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_13.set new file mode 100644 index 0000000..fcc440a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_14.set new file mode 100644 index 0000000..0f7f9b0 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_2.set new file mode 100644 index 0000000..7ce007b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_3.set new file mode 100644 index 0000000..b0ba725 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_4.set new file mode 100644 index 0000000..08f0db2 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_5.set new file mode 100644 index 0000000..f8e4b14 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_6.set new file mode 100644 index 0000000..ff51a5c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_7.set new file mode 100644 index 0000000..d1fd8d0 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_8.set new file mode 100644 index 0000000..8fb8e40 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_9.set new file mode 100644 index 0000000..b92d260 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_US500_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=2.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.0 +AtrTpMult=4.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_1.set new file mode 100644 index 0000000..6e8d045 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_10.set new file mode 100644 index 0000000..e969d7d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_11.set new file mode 100644 index 0000000..3d7897a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_12.set new file mode 100644 index 0000000..7806a93 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_13.set new file mode 100644 index 0000000..40c1048 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_14.set new file mode 100644 index 0000000..abc7f7f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_2.set new file mode 100644 index 0000000..7adcc32 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_3.set new file mode 100644 index 0000000..34b1a03 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_4.set new file mode 100644 index 0000000..a5faa2a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_5.set new file mode 100644 index 0000000..4524e0b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_6.set new file mode 100644 index 0000000..ec73653 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_7.set new file mode 100644 index 0000000..9d26c12 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_8.set new file mode 100644 index 0000000..1147c92 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_9.set new file mode 100644 index 0000000..f9e9e6e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCAD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_1.set new file mode 100644 index 0000000..6e8d045 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_10.set new file mode 100644 index 0000000..e969d7d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_11.set new file mode 100644 index 0000000..3d7897a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_12.set new file mode 100644 index 0000000..7806a93 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_13.set new file mode 100644 index 0000000..40c1048 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_14.set new file mode 100644 index 0000000..abc7f7f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_2.set new file mode 100644 index 0000000..7adcc32 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_3.set new file mode 100644 index 0000000..34b1a03 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_4.set new file mode 100644 index 0000000..a5faa2a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_5.set new file mode 100644 index 0000000..4524e0b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_6.set new file mode 100644 index 0000000..ec73653 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_7.set new file mode 100644 index 0000000..9d26c12 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_8.set new file mode 100644 index 0000000..1147c92 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_9.set new file mode 100644 index 0000000..f9e9e6e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCHF_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=8 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_1.set new file mode 100644 index 0000000..b515458 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_10.set new file mode 100644 index 0000000..5a0b5e7 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_11.set new file mode 100644 index 0000000..9e21dbb --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_12.set new file mode 100644 index 0000000..b301f67 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_13.set new file mode 100644 index 0000000..fdc68cc --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_14.set new file mode 100644 index 0000000..f906dd1 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_2.set new file mode 100644 index 0000000..aebbb75 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_3.set new file mode 100644 index 0000000..d6fadbd --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_4.set new file mode 100644 index 0000000..1fbfdf8 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_5.set new file mode 100644 index 0000000..6477d69 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_6.set new file mode 100644 index 0000000..1571f54 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_7.set new file mode 100644 index 0000000..2ff144f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_8.set new file mode 100644 index 0000000..4207149 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_9.set new file mode 100644 index 0000000..e10999f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDCNH_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=15 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_1.set new file mode 100644 index 0000000..06f1f78 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_10.set new file mode 100644 index 0000000..00707c6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_11.set new file mode 100644 index 0000000..a6d8885 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_12.set new file mode 100644 index 0000000..ead7faf --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_13.set new file mode 100644 index 0000000..c1ceb28 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_14.set new file mode 100644 index 0000000..aad0df3 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_2.set new file mode 100644 index 0000000..22b4f44 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_3.set new file mode 100644 index 0000000..934aaae --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_4.set new file mode 100644 index 0000000..d470a8e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_5.set new file mode 100644 index 0000000..406f633 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_6.set new file mode 100644 index 0000000..45a339c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_7.set new file mode 100644 index 0000000..eb1667c --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_8.set new file mode 100644 index 0000000..f221c37 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_9.set new file mode 100644 index 0000000..f72bd63 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_USDJPY_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.71 +AtrTpMult=6.36 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=12.0 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_1.set new file mode 100644 index 0000000..2339704 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_10.set new file mode 100644 index 0000000..c2ef0de --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_11.set new file mode 100644 index 0000000..35e982a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_12.set new file mode 100644 index 0000000..c9bb024 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_13.set new file mode 100644 index 0000000..9dbba9b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_14.set new file mode 100644 index 0000000..73c23c2 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_2.set new file mode 100644 index 0000000..148e8b6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_3.set new file mode 100644 index 0000000..badb3d1 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_4.set new file mode 100644 index 0000000..3f8e1a9 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_5.set new file mode 100644 index 0000000..84008d4 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_6.set new file mode 100644 index 0000000..bc02854 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_7.set new file mode 100644 index 0000000..32806af --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_8.set new file mode 100644 index 0000000..0d18ade --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_9.set new file mode 100644 index 0000000..43c02cc --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAGUSD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=40 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_1.set new file mode 100644 index 0000000..5e6988f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=35 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_10.set new file mode 100644 index 0000000..d4418d9 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=35 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_11.set new file mode 100644 index 0000000..f1c0d6b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=35 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_12.set new file mode 100644 index 0000000..f591f4f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=35 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_13.set new file mode 100644 index 0000000..3010318 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=35 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_14.set new file mode 100644 index 0000000..7a7de8e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=35 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_2.set new file mode 100644 index 0000000..26007c2 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=35 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_3.set new file mode 100644 index 0000000..3efa253 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=35 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_4.set new file mode 100644 index 0000000..0c8c01e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=35 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_5.set new file mode 100644 index 0000000..ba9b856 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=35 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_6.set new file mode 100644 index 0000000..2089106 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=35 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_7.set new file mode 100644 index 0000000..5e49d90 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=35 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_8.set new file mode 100644 index 0000000..2514669 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=35 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_9.set new file mode 100644 index 0000000..0918045 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XAUUSD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=35 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_1.set new file mode 100644 index 0000000..c88788b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_10.set new file mode 100644 index 0000000..bf4269f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_11.set new file mode 100644 index 0000000..1ec32bc --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_12.set new file mode 100644 index 0000000..0e5bfaa --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_13.set new file mode 100644 index 0000000..1ee55bb --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_14.set new file mode 100644 index 0000000..4431c19 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_2.set new file mode 100644 index 0000000..3734062 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_3.set new file mode 100644 index 0000000..faf4268 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_4.set new file mode 100644 index 0000000..95ee7e4 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_5.set new file mode 100644 index 0000000..0fc154e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_6.set new file mode 100644 index 0000000..2c4e008 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_7.set new file mode 100644 index 0000000..38be36d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_8.set new file mode 100644 index 0000000..4d2a9c1 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_9.set new file mode 100644 index 0000000..1ea95cc --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XBRUSD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_1.set new file mode 100644 index 0000000..41c1346 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=80 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_10.set new file mode 100644 index 0000000..b167dd8 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=80 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_11.set new file mode 100644 index 0000000..3409b95 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=80 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_12.set new file mode 100644 index 0000000..a9a5b00 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=80 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_13.set new file mode 100644 index 0000000..c086392 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=80 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_14.set new file mode 100644 index 0000000..b5447c6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=80 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_2.set new file mode 100644 index 0000000..720b64e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=80 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_3.set new file mode 100644 index 0000000..dfd5b19 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=80 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_4.set new file mode 100644 index 0000000..430ee73 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=80 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_5.set new file mode 100644 index 0000000..6c97ce5 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=80 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_6.set new file mode 100644 index 0000000..941db0f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=80 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_7.set new file mode 100644 index 0000000..a0f84e3 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=80 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_8.set new file mode 100644 index 0000000..7c77626 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=80 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_9.set new file mode 100644 index 0000000..fea7975 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPDUSD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=80 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_1.set new file mode 100644 index 0000000..0a6c232 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_10.set new file mode 100644 index 0000000..b6087ad --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_11.set new file mode 100644 index 0000000..581fe35 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_12.set new file mode 100644 index 0000000..6cf8b3a --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_13.set new file mode 100644 index 0000000..d17586d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_14.set new file mode 100644 index 0000000..4e30912 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_2.set new file mode 100644 index 0000000..ba280a1 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_3.set new file mode 100644 index 0000000..71799c2 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_4.set new file mode 100644 index 0000000..e5520cb --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_5.set new file mode 100644 index 0000000..4a021c6 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_6.set new file mode 100644 index 0000000..d93b0cd --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_7.set new file mode 100644 index 0000000..ca55324 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_8.set new file mode 100644 index 0000000..892f1ed --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_9.set new file mode 100644 index 0000000..f55ec4f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XPTUSD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.0 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.5 +AtrTpMult=5.0 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=50 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_1.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_1.set new file mode 100644 index 0000000..c88788b --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_1.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_10.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_10.set new file mode 100644 index 0000000..bf4269f --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_10.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=1 +PullbackAdxMin=20 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_11.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_11.set new file mode 100644 index 0000000..1ec32bc --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_11.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=true +AdxPeriod=14 +AdxMin=15 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_12.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_12.set new file mode 100644 index 0000000..0e5bfaa --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_12.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=36 +TrendLegBars=64 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_13.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_13.set new file mode 100644 index 0000000..1ee55bb --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_13.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=26 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_14.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_14.set new file mode 100644 index 0000000..4431c19 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_14.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_2.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_2.set new file mode 100644 index 0000000..3734062 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_2.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=9 +SlowEmaPeriod=34 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_3.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_3.set new file mode 100644 index 0000000..faf4268 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_3.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_4.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_4.set new file mode 100644 index 0000000..95ee7e4 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_4.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=7 +SlowEmaPeriod=28 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=100 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_5.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_5.set new file mode 100644 index 0000000..0fc154e --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_5.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=2 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_6.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_6.set new file mode 100644 index 0000000..2c4e008 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_6.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=36 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=3 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=2 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_7.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_7.set new file mode 100644 index 0000000..38be36d --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_7.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=11 +SlowEmaPeriod=40 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=true +PullbackTouch=0 +PullbackAdxMin=18 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_8.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_8.set new file mode 100644 index 0000000..4d2a9c1 --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_8.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=10 +SlowEmaPeriod=46 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=4 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=true +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=8 +SessionEndHour=22 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_9.set b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_9.set new file mode 100644 index 0000000..1ea95cc --- /dev/null +++ b/lab/EAs/SimpleEMA/mt5_sets/SimpleEMA_sweep_XTIUSD_9.set @@ -0,0 +1,26 @@ +; SimpleEMA v5 — per-symbol MT5 set +Timeframe=16388 +FastEmaPeriod=8 +SlowEmaPeriod=30 +TrendLegBars=48 +MinEmaGapPips=1.5 +CrossCooldown=2 +PullbackCooldown=3 +UsePullback=false +PullbackTouch=0 +PullbackAdxMin=0.0 +PullbackMinGapPips=0.0 +MaxPullbacksPerLeg=1 +AtrPeriod=20 +AtrSlMult=2.2 +AtrTpMult=4.5 +MaxBarsInTrade=64 +HtfEmaPeriod=200 +UseHtfFilter=false +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +SessionStartHour=0 +SessionEndHour=24 +MaxSpreadPips=30 +LotSize=0.05 diff --git a/lab/EAs/SimpleEMA/optimize_trials.csv b/lab/EAs/SimpleEMA/optimize_trials.csv new file mode 100644 index 0000000..23b09c2 --- /dev/null +++ b/lab/EAs/SimpleEMA/optimize_trials.csv @@ -0,0 +1,2001 @@ +trial,net,trades,pf,fast_ema,slow_ema,trend_leg_bars,min_ema_gap_pips,cross_cooldown,pullback_cooldown,use_pullback,pullback_touch,atr_period,atr_sl_mult,atr_tp_mult,max_bars_in_trade,htf_ema_period,use_htf_filter,use_adx_filter,adx_period,adx_min,session_start,session_end,max_spread_pips,lot_size,initial_balance +1,-3117.4199999999983,737,0.6817202149349794,10,46,48,1.5,8,3,True,0,20,2.71,6.36,64,200,True,False,14,18.0,8,22,6.0,0.1,10000.0 +2,178.10999999999513,78,1.1675588210391639,10,46,48,1.5,8,3,False,0,20,2.71,6.36,64,200,True,False,14,18.0,8,22,6.0,0.1,10000.0 +3,-3117.4199999999983,737,0.6817202149349794,10,46,48,1.5,8,3,True,0,20,2.71,6.36,64,200,True,False,14,18.0,8,22,6.0,0.1,10000.0 +4,-2075.7300000000223,514,0.6991599732165374,10,46,64,1.5,8,2,True,1,20,2.71,6.36,64,200,True,False,14,18.0,8,22,6.0,0.1,10000.0 +5,-2699.9400000000005,766,0.7313396300763013,10,46,56,1.5,6,3,True,0,20,2.71,6.36,64,200,True,False,14,18.0,8,22,6.0,0.1,10000.0 +6,-221.02000000000044,89,0.8285523682454968,8,38,72,1.1,7,3,False,0,14,2.71,4.6,48,100,True,True,14,20.8,7,22,6.0,0.1,10000.0 +7,-2286.7599999999893,636,0.6993795025503496,11,46,32,2.0,7,5,True,0,14,2.26,6.79,48,100,True,False,14,18.9,8,22,6.0,0.1,10000.0 +8,-1149.9000000000178,209,0.598209606071406,11,40,56,0.7,8,4,False,0,14,2.05,5.18,80,100,True,False,14,19.0,8,22,6.0,0.1,10000.0 +9,-164.45999999999913,61,0.8305776184442315,10,48,40,1.8,6,3,False,1,14,2.2,5.64,64,200,True,False,14,22.6,8,22,8.0,0.1,10000.0 +10,-249.66999999999462,63,0.7609715467391721,8,44,64,2.3,8,3,False,0,20,3.06,6.43,64,200,True,False,14,22.0,8,22,8.0,0.1,10000.0 +11,-1498.5100000000002,372,0.6994878191604564,10,44,40,1.5,6,2,True,0,14,2.95,5.77,48,200,True,True,14,24.0,8,21,6.0,0.1,10000.0 +12,-4801.090000000018,1076,0.6958667540006613,12,46,72,1.2,8,5,True,0,14,3.14,7.13,80,100,False,False,14,23.0,8,21,6.0,0.1,10000.0 +13,-99.16000000000531,38,0.8244116657517752,10,42,64,2.4,10,2,False,0,20,2.02,7.29,80,100,True,False,14,23.0,7,21,8.0,0.1,10000.0 +14,-1238.5700000000088,239,0.6659375337145323,8,42,40,1.8,10,3,True,1,20,3.16,7.29,64,200,True,True,14,21.2,8,22,6.0,0.1,10000.0 +15,-442.5999999999949,160,0.7905982097235101,9,44,32,1.2,10,3,False,0,14,2.09,6.39,64,100,True,False,14,16.6,7,22,8.0,0.1,10000.0 +16,-3776.7900000000027,901,0.6716180297551302,9,42,72,2.4,10,5,True,0,20,2.23,4.79,96,200,True,False,14,19.7,7,21,6.0,0.1,10000.0 +17,-5189.129999999993,1342,0.662650077622994,11,48,32,1.0,7,5,True,0,14,2.33,5.25,48,200,False,False,14,16.4,7,21,6.0,0.1,10000.0 +18,-1494.159999999998,429,0.7806328666041229,9,50,56,1.5,9,2,True,0,14,3.18,5.3,96,200,True,True,14,23.7,8,21,6.0,0.1,10000.0 +19,-721.4000000000015,121,0.6026482770776416,10,44,32,1.7,10,2,False,0,14,2.06,5.93,64,100,False,False,14,22.8,7,21,6.0,0.1,10000.0 +20,-401.99000000000524,55,0.5768615397570577,11,40,64,1.0,10,2,False,0,20,2.79,6.2,80,200,True,True,14,21.7,7,22,8.0,0.1,10000.0 +21,-2528.50999999999,660,0.6877634890331759,9,46,56,1.1,6,2,True,1,14,2.09,5.14,80,100,True,False,14,23.0,8,22,6.0,0.1,10000.0 +22,-152.28999999999724,28,0.7288138611393058,11,46,64,2.5,10,2,False,1,20,3.12,4.81,64,200,True,False,14,21.9,7,22,8.0,0.1,10000.0 +23,-2489.8199999999924,801,0.7506804212904273,12,44,72,1.2,8,5,True,0,14,2.76,6.99,48,100,True,False,14,21.1,8,21,8.0,0.1,10000.0 +24,-1326.809999999994,254,0.6240351593049747,12,50,64,0.5,6,3,False,0,20,2.7,4.94,64,100,True,False,14,23.2,7,22,6.0,0.1,10000.0 +25,-4393.580000000005,832,0.6472193182347397,9,40,48,2.1,9,3,True,0,14,3.06,4.57,80,200,False,True,14,22.5,8,21,6.0,0.1,10000.0 +26,-3422.9099999999844,939,0.6932455793670639,11,38,56,0.9,9,4,True,0,14,2.03,5.08,80,200,True,False,14,18.8,8,22,6.0,0.1,10000.0 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b/lab/EAs/SimpleEMA/portfolio_curated.json new file mode 100644 index 0000000..4468f5e --- /dev/null +++ b/lab/EAs/SimpleEMA/portfolio_curated.json @@ -0,0 +1,13 @@ +{ + "timeframe": "M15", + "period": ["2020-01-01", "2026-01-01"], + "lot_per_symbol": 0.05, + "initial_balance": 10000, + "comment": "Symbols with net>0 under v5 best params in full 20-symbol scan", + "symbols": [ + {"name": "EURUSD", "max_spread_pips": 6}, + {"name": "USDCAD", "max_spread_pips": 8}, + {"name": "CHFJPY", "max_spread_pips": 10}, + {"name": "XAUUSD", "max_spread_pips": 35} + ] +} diff --git a/lab/EAs/SimpleEMA/portfolio_enabled.json b/lab/EAs/SimpleEMA/portfolio_enabled.json new file mode 100644 index 0000000..8f82597 --- /dev/null +++ b/lab/EAs/SimpleEMA/portfolio_enabled.json @@ -0,0 +1,17 @@ +{ + "symbols": [ + "EURUSD", + "USDJPY", + "USDCHF", + "USDCAD", + "AUDUSD", + "NZDUSD", + "EURAUD", + "EURNZD", + "CADJPY", + "CHFJPY", + "XAUUSD", + "XAGUSD" + ], + "symbol_list": "EURUSD,USDJPY,USDCHF,USDCAD,AUDUSD,NZDUSD,EURAUD,EURNZD,CADJPY,CHFJPY,XAUUSD,XAGUSD" +} \ No newline at end of file diff --git a/lab/EAs/SimpleEMA/portfolio_opt_trials/AUDCAD.csv b/lab/EAs/SimpleEMA/portfolio_opt_trials/AUDCAD.csv new file mode 100644 index 0000000..47b865b --- /dev/null +++ b/lab/EAs/SimpleEMA/portfolio_opt_trials/AUDCAD.csv @@ -0,0 +1,9 @@ +net,trades,pf,fast_ema,slow_ema,trend_leg_bars,min_ema_gap_pips,cross_cooldown,pullback_cooldown,use_pullback,pullback_touch,pullback_adx_min,pullback_min_gap_pips,max_pullbacks_per_leg,atr_period,atr_sl_mult,atr_tp_mult,max_bars_in_trade,htf_ema_period,use_htf_filter,use_adx_filter,adx_period,adx_min,session_start,session_end,max_spread_pips,lot_size,initial_balance +-110.28000000000065,39,0.5792927173539847,10,36,48,1.5,2,3,False,0,0.0,0.0,1,20,2.71,6.36,64,100,True,False,14,18.0,8,22,12,0.05,10000.0 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a/lab/EAs/SimpleEMA/portfolio_opt_trials/NZDUSD.csv b/lab/EAs/SimpleEMA/portfolio_opt_trials/NZDUSD.csv new file mode 100644 index 0000000..31aacc6 --- /dev/null +++ b/lab/EAs/SimpleEMA/portfolio_opt_trials/NZDUSD.csv @@ -0,0 +1,9 @@ +net,trades,pf,fast_ema,slow_ema,trend_leg_bars,min_ema_gap_pips,cross_cooldown,pullback_cooldown,use_pullback,pullback_touch,pullback_adx_min,pullback_min_gap_pips,max_pullbacks_per_leg,atr_period,atr_sl_mult,atr_tp_mult,max_bars_in_trade,htf_ema_period,use_htf_filter,use_adx_filter,adx_period,adx_min,session_start,session_end,max_spread_pips,lot_size,initial_balance +-40.8799999999992,39,0.8587422252937112,10,36,48,1.5,2,3,False,0,0.0,0.0,1,20,2.71,6.36,64,100,True,False,14,18.0,8,22,10,0.05,10000.0 +-140.14999999999964,45,0.5754831283697825,10,46,48,1.5,8,3,False,0,0.0,0.0,1,20,2.71,6.36,64,200,True,False,14,18.0,8,22,10,0.05,10000.0 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a/lab/EAs/SimpleEMA/portfolio_opt_trials/USDJPY.csv b/lab/EAs/SimpleEMA/portfolio_opt_trials/USDJPY.csv new file mode 100644 index 0000000..64dca91 --- /dev/null +++ b/lab/EAs/SimpleEMA/portfolio_opt_trials/USDJPY.csv @@ -0,0 +1,9 @@ +net,trades,pf,fast_ema,slow_ema,trend_leg_bars,min_ema_gap_pips,cross_cooldown,pullback_cooldown,use_pullback,pullback_touch,pullback_adx_min,pullback_min_gap_pips,max_pullbacks_per_leg,atr_period,atr_sl_mult,atr_tp_mult,max_bars_in_trade,htf_ema_period,use_htf_filter,use_adx_filter,adx_period,adx_min,session_start,session_end,max_spread_pips,lot_size,initial_balance +-217.90000000000146,141,0.8350741749924311,10,36,48,1.5,2,3,False,0,0.0,0.0,1,20,2.71,6.36,64,100,True,False,14,18.0,8,22,8,0.05,10000.0 +-333.6500000000033,135,0.7602451801125298,10,46,48,1.5,8,3,False,0,0.0,0.0,1,20,2.71,6.36,64,200,True,False,14,18.0,8,22,8,0.05,10000.0 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+ "initial_balance": 10000.0 + } + }, + { + "preset": 12, + "net_profit": -444.14, + "total_trades": 133, + "profit_factor": 0.56, + "score": -424.19, + "params": { + "fast_ema": 8, + "slow_ema": 36, + "trend_leg_bars": 64, + "min_ema_gap_pips": 1.5, + "cross_cooldown": 2, + "pullback_cooldown": 3, + "use_pullback": true, + "pullback_touch": 0, + "pullback_adx_min": 0.0, + "pullback_min_gap_pips": 0.0, + "max_pullbacks_per_leg": 2, + "atr_period": 20, + "atr_sl_mult": 2.2, + "atr_tp_mult": 4.5, + "max_bars_in_trade": 64, + "htf_ema_period": 200, + "use_htf_filter": true, + "use_adx_filter": false, + "adx_period": 14, + "adx_min": 18.0, + "session_start": 8, + "session_end": 22, + "max_spread_pips": 30, + "lot_size": 0.05, + "initial_balance": 10000.0 + } + }, + { + "preset": 13, + "net_profit": -101.22, + "total_trades": 69, + "profit_factor": 0.76, + "score": -90.87, + "params": { + "fast_ema": 8, + "slow_ema": 26, + "trend_leg_bars": 48, + "min_ema_gap_pips": 1.5, + "cross_cooldown": 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"htf_ema_period": 200, + "use_htf_filter": true, + "use_adx_filter": false, + "adx_period": 14, + "adx_min": 18.0, + "session_start": 8, + "session_end": 22, + "max_spread_pips": 30, + "lot_size": 0.05, + "initial_balance": 10000.0 + } + } + ], + "mt5_status": "ok" + } + ], + "mt5_enabled_count": 35, + "mt5_enabled_trades": 1825, + "mt5_enabled_net": 13637.75 +} \ No newline at end of file diff --git a/lab/EAs/SimpleEMA/portfolio_report.json b/lab/EAs/SimpleEMA/portfolio_report.json new file mode 100644 index 0000000..0aee9b5 --- /dev/null +++ b/lab/EAs/SimpleEMA/portfolio_report.json @@ -0,0 +1,304 @@ +{ + "metrics": { + "net_profit": 1847.0, + "total_trades": 3222, + "profit_factor": 1.05, + "win_rate": 36.8, + "max_drawdown_pct": 28.41, + "profitable_symbols": 8, + "symbol_count": 20, + "target_met_2000_trades": true, + "target_met_profit": true + }, + "per_symbol": [ + { + "symbol": "EURUSD", + "enabled": true, + "trades": 79, + "net_profit": 119.63, + "profit_factor": 1.23, + "win_rate": 41.8 + }, + { + "symbol": "GBPUSD", + "enabled": true, + "trades": 0, + "net_profit": 0.0, + "profit_factor": 0.0, + "win_rate": 0.0 + }, + { + "symbol": "USDJPY", + "enabled": true, + "trades": 141, + "net_profit": -217.9, + "profit_factor": 0.84, + "win_rate": 35.5 + }, + { + "symbol": "USDCHF", + "enabled": true, + "trades": 70, + "net_profit": -167.12, + "profit_factor": 0.76, + "win_rate": 32.9 + }, + { + "symbol": "USDCAD", + "enabled": true, + "trades": 96, + "net_profit": 26.33, + "profit_factor": 1.05, + "win_rate": 36.5 + }, + { + "symbol": "AUDUSD", + "enabled": true, + "trades": 45, + "net_profit": 31.36, + "profit_factor": 1.08, + "win_rate": 35.6 + }, + { + "symbol": "NZDUSD", + "enabled": true, + "trades": 39, + "net_profit": -40.88, + "profit_factor": 0.86, + "win_rate": 38.5 + }, + { + "symbol": "EURGBP", + "enabled": true, + "trades": 24, + "net_profit": -165.73, + "profit_factor": 0.3, + "win_rate": 20.8 + }, + { + "symbol": "EURJPY", + "enabled": true, + "trades": 0, + "net_profit": 0.0, + "profit_factor": 0.0, + "win_rate": 0.0 + }, + { + "symbol": "GBPJPY", + "enabled": true, + "trades": 0, + "net_profit": 0.0, + "profit_factor": 0.0, + "win_rate": 0.0 + }, + { + "symbol": "EURCHF", + "enabled": true, + "trades": 40, + "net_profit": -28.83, + "profit_factor": 0.91, + "win_rate": 35.0 + }, + { + "symbol": "GBPCHF", + "enabled": true, + "trades": 59, + "net_profit": -488.75, + "profit_factor": 0.39, + "win_rate": 20.3 + }, + { + "symbol": "EURAUD", + "enabled": true, + "trades": 140, + "net_profit": 100.38, + "profit_factor": 1.09, + "win_rate": 40.0 + }, + { + "symbol": "EURNZD", + "enabled": true, + "trades": 188, + "net_profit": -98.98, + "profit_factor": 0.93, + "win_rate": 36.7 + }, + { + "symbol": "EURCAD", + "enabled": true, + "trades": 121, + "net_profit": -557.92, + "profit_factor": 0.46, + "win_rate": 25.6 + }, + { + "symbol": "GBPAUD", + "enabled": true, + "trades": 0, + "net_profit": 0.0, + "profit_factor": 0.0, + "win_rate": 0.0 + }, + { + "symbol": "GBPNZD", + "enabled": true, + "trades": 0, + "net_profit": 0.0, + "profit_factor": 0.0, + "win_rate": 0.0 + }, + { + "symbol": "GBPCAD", + "enabled": true, + "trades": 0, + "net_profit": 0.0, + "profit_factor": 0.0, + "win_rate": 0.0 + }, + { + "symbol": "AUDNZD", + "enabled": true, + "trades": 0, + "net_profit": 0.0, + "profit_factor": 0.0, + "win_rate": 0.0 + }, + { + "symbol": "AUDCAD", + "enabled": true, + "trades": 39, + "net_profit": -110.28, + "profit_factor": 0.58, + "win_rate": 23.1 + }, + { + "symbol": "NZDCAD", + "enabled": true, + "trades": 92, + "net_profit": -110.47, + "profit_factor": 0.78, + "win_rate": 28.3 + }, + { + "symbol": "AUDJPY", + "enabled": true, + "trades": 0, + "net_profit": 0.0, + "profit_factor": 0.0, + "win_rate": 0.0 + }, + { + "symbol": "NZDJPY", + "enabled": true, + "trades": 69, + "net_profit": -205.8, + "profit_factor": 0.59, + "win_rate": 30.4 + }, + { + "symbol": "CADJPY", + "enabled": true, + "trades": 176, + "net_profit": -22.37, + "profit_factor": 0.98, + "win_rate": 39.2 + }, + { + "symbol": "CHFJPY", + "enabled": true, + "trades": 202, + "net_profit": 118.79, + "profit_factor": 1.08, + "win_rate": 41.1 + }, + { + "symbol": "XAUUSD", + "enabled": true, + "trades": 760, + "net_profit": 3259.98, + "profit_factor": 1.14, + "win_rate": 40.0 + }, + { + "symbol": "XAGUSD", + "enabled": true, + "trades": 191, + "net_profit": 402.97, + "profit_factor": 1.23, + "win_rate": 37.2 + }, + { + "symbol": "XPTUSD", + "enabled": true, + "trades": 0, + "net_profit": 0.0, + "profit_factor": 0.0, + "win_rate": 0.0 + }, + { + "symbol": "US500", + "enabled": true, + "trades": 0, + "net_profit": 0.0, + "profit_factor": 0.0, + "win_rate": 0.0 + }, + { + "symbol": "NAS100", + "enabled": true, + "trades": 0, + "net_profit": 0.0, + "profit_factor": 0.0, + "win_rate": 0.0 + }, + { + "symbol": "US30", + "enabled": true, + "trades": 0, + "net_profit": 0.0, + "profit_factor": 0.0, + "win_rate": 0.0 + }, + { + "symbol": "GER40", + "enabled": true, + "trades": 0, + "net_profit": 0.0, + "profit_factor": 0.0, + "win_rate": 0.0 + }, + { + "symbol": "UK100", + "enabled": true, + "trades": 0, + "net_profit": 0.0, + "profit_factor": 0.0, + "win_rate": 0.0 + }, + { + "symbol": "JPN225", + "enabled": true, + "trades": 0, + "net_profit": 0.0, + "profit_factor": 0.0, + "win_rate": 0.0 + }, + { + "symbol": "BTCUSD", + "enabled": true, + "trades": 0, + "net_profit": 0.0, + "profit_factor": 0.0, + "win_rate": 0.0 + }, + { + "symbol": "ETHUSD", + "enabled": true, + "trades": 651, + "net_profit": 2.59, + "profit_factor": 1.0, + "win_rate": 37.3 + } + ], + "enabled_count": 36 +} \ No newline at end of file diff --git a/lab/EAs/SimpleEMA/portfolio_symbols.json b/lab/EAs/SimpleEMA/portfolio_symbols.json new file mode 100644 index 0000000..f89f5c9 --- /dev/null +++ b/lab/EAs/SimpleEMA/portfolio_symbols.json @@ -0,0 +1,28 @@ +{ + "timeframe": "M15", + "period": ["2020-01-01", "2026-01-01"], + "lot_per_symbol": 0.05, + "initial_balance": 10000, + "symbols": [ + {"name": "EURUSD", "max_spread_pips": 6}, + {"name": "GBPUSD", "max_spread_pips": 8}, + {"name": "USDJPY", "max_spread_pips": 8}, + {"name": "USDCHF", "max_spread_pips": 8}, + {"name": "USDCAD", "max_spread_pips": 8}, + {"name": "AUDUSD", "max_spread_pips": 8}, + {"name": "NZDUSD", "max_spread_pips": 10}, + {"name": "EURGBP", "max_spread_pips": 8}, + {"name": "EURJPY", "max_spread_pips": 10}, + {"name": "GBPJPY", "max_spread_pips": 12}, + {"name": "EURAUD", "max_spread_pips": 10}, + {"name": "EURNZD", "max_spread_pips": 12}, + {"name": "AUDJPY", "max_spread_pips": 10}, + {"name": "CADJPY", "max_spread_pips": 10}, + {"name": "CHFJPY", "max_spread_pips": 10}, + {"name": "GBPAUD", "max_spread_pips": 12}, + {"name": "GBPCAD", "max_spread_pips": 12}, + {"name": "AUDNZD", "max_spread_pips": 12}, + {"name": "XAUUSD", "max_spread_pips": 35}, + {"name": "XAGUSD", "max_spread_pips": 40} + ] +} diff --git a/lab/EAs/SimpleEMA/portfolio_symbols_expanded.json b/lab/EAs/SimpleEMA/portfolio_symbols_expanded.json new file mode 100644 index 0000000..cf91c37 --- /dev/null +++ b/lab/EAs/SimpleEMA/portfolio_symbols_expanded.json @@ -0,0 +1,58 @@ +{ + "timeframe": "M15", + "period": ["2020-01-01", "2026-01-01"], + "lot_per_symbol": 0.05, + "initial_balance": 10000, + "categories": { + "majors": ["EURUSD", "GBPUSD", "USDJPY", "USDCHF", "USDCAD", "AUDUSD", "NZDUSD"], + "crosses": ["EURGBP", "EURJPY", "GBPJPY", "EURCHF", "GBPCHF", "EURAUD", "EURNZD", "EURCAD", "GBPAUD", "GBPNZD", "GBPCAD", "AUDNZD", "AUDCAD", "NZDCAD"], + "jpy_cross": ["AUDJPY", "NZDJPY", "CADJPY", "CHFJPY"], + "metals": ["XAUUSD", "XAGUSD", "XPTUSD", "XPDUSD"], + "indices": ["US500", "NAS100", "US30", "GER40", "UK100", "JPN225"], + "crypto": ["BTCUSD", "ETHUSD"], + "commodities": ["XTIUSD", "XBRUSD"], + "cnh": ["USDCNH"] + }, + "symbols": [ + {"name": "EURUSD", "max_spread_pips": 6, "category": "majors"}, + {"name": "GBPUSD", "max_spread_pips": 8, "category": "majors"}, + {"name": "USDJPY", "max_spread_pips": 8, "category": "majors"}, + {"name": "USDCHF", "max_spread_pips": 8, "category": "majors"}, + {"name": "USDCAD", "max_spread_pips": 8, "category": "majors"}, + {"name": "AUDUSD", "max_spread_pips": 8, "category": "majors"}, + {"name": "NZDUSD", "max_spread_pips": 10, "category": "majors"}, + {"name": "EURGBP", "max_spread_pips": 8, "category": "crosses"}, + {"name": "EURJPY", "max_spread_pips": 10, "category": "crosses"}, + {"name": "GBPJPY", "max_spread_pips": 12, "category": "crosses"}, + {"name": "EURCHF", "max_spread_pips": 10, "category": "crosses"}, + {"name": "GBPCHF", "max_spread_pips": 12, "category": "crosses"}, + {"name": "EURAUD", "max_spread_pips": 10, "category": "crosses"}, + {"name": "EURNZD", "max_spread_pips": 12, "category": "crosses"}, + {"name": "EURCAD", "max_spread_pips": 10, "category": "crosses"}, + {"name": "GBPAUD", "max_spread_pips": 12, "category": "crosses"}, + {"name": "GBPNZD", "max_spread_pips": 14, "category": "crosses"}, + {"name": "GBPCAD", "max_spread_pips": 12, "category": "crosses"}, + {"name": "AUDNZD", "max_spread_pips": 12, "category": "crosses"}, + {"name": "AUDCAD", "max_spread_pips": 12, "category": "crosses"}, + {"name": "NZDCAD", "max_spread_pips": 12, "category": "crosses"}, + {"name": "AUDJPY", "max_spread_pips": 10, "category": "jpy_cross"}, + {"name": "NZDJPY", "max_spread_pips": 12, "category": "jpy_cross"}, + {"name": "CADJPY", "max_spread_pips": 10, "category": "jpy_cross"}, + {"name": "CHFJPY", "max_spread_pips": 10, "category": "jpy_cross"}, + {"name": "XAUUSD", "max_spread_pips": 35, "category": "metals"}, + {"name": "XAGUSD", "max_spread_pips": 40, "category": "metals"}, + {"name": "XPTUSD", "max_spread_pips": 50, "category": "metals"}, + {"name": "XPDUSD", "max_spread_pips": 80, "category": "metals"}, + {"name": "US500", "max_spread_pips": 15, "category": "indices"}, + {"name": "NAS100", "max_spread_pips": 20, "category": "indices"}, + {"name": "US30", "max_spread_pips": 20, "category": "indices"}, + {"name": "GER40", "max_spread_pips": 20, "category": "indices"}, + {"name": "UK100", "max_spread_pips": 20, "category": "indices"}, + {"name": "JPN225", "max_spread_pips": 25, "category": "indices"}, + {"name": "BTCUSD", "max_spread_pips": 50, "category": "crypto"}, + {"name": "ETHUSD", "max_spread_pips": 40, "category": "crypto"}, + {"name": "XTIUSD", "max_spread_pips": 30, "category": "commodities"}, + {"name": "XBRUSD", "max_spread_pips": 30, "category": "commodities"}, + {"name": "USDCNH", "max_spread_pips": 15, "category": "cnh"} + ] +} diff --git a/lab/EAs/SimpleEMA/run_backtest.py b/lab/EAs/SimpleEMA/run_backtest.py new file mode 100644 index 0000000..967bc6f --- /dev/null +++ b/lab/EAs/SimpleEMA/run_backtest.py @@ -0,0 +1,285 @@ +""" +SimpleEMA — Python bar backtest mirroring main.mq5 (MT5 live data). + +Outputs in this folder: + backtest_report.json, trades.csv, report.png, equity_curve.png, ... + +Usage: + python run_backtest.py + python run_backtest.py --start 2023-01-01 --end 2026-01-01 + python run_backtest.py --fast 12 --slow 26 --atr-sl 1.5 +""" + +from __future__ import annotations + +import argparse +import json +import sys +from dataclasses import asdict, dataclass +from datetime import datetime +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) + +from cluster_audit.backtest_core import ( # noqa: E402 + BacktestReport, + CostModel, + load_bars, + resolve_symbol, + run_single_position, +) +from indicator_utils import calculate_atr, calculate_ema # noqa: E402 + +STRATEGY_ID = "SimpleEMA" +DEFAULT_SYMBOL = "EURUSD" +DEFAULT_TF = mt5.TIMEFRAME_H1 + + +def pip_size(symbol: str) -> float: + info = mt5.symbol_info(symbol) + if not info: + return 0.0001 + pt = float(info.point) + return pt * 10.0 if info.digits in (3, 5) else pt + + +@dataclass +class StrategyParams: + fast_ema: int = 12 + slow_ema: int = 26 + min_ema_gap_pips: float = 0.0 + lot_size: float = 0.10 + use_atr_stops: bool = True + atr_period: int = 14 + atr_sl_mult: float = 1.5 + atr_tp_mult: float = 2.5 + stop_loss_pips: int = 30 + take_profit_pips: int = 60 + use_trailing: bool = False + trail_pips: int = 20 + exit_on_cross: bool = True + max_bars_in_trade: int = 48 + max_spread_pips: int = 5 + initial_balance: float = 10_000.0 + + def to_dict(self) -> dict: + return asdict(self) + + +def save_reports(report: BacktestReport, out_dir: Path) -> None: + rows = [ + { + "side": t.side, + "open_time": t.open_time, + "close_time": t.close_time, + "open_price": t.open_price, + "close_price": t.close_price, + "volume": t.volume, + "profit": t.profit, + "bars_held": t.bars_held, + "exit_reason": t.exit_reason, + } + for t in report.trades_list + ] + pd.DataFrame(rows).to_csv(out_dir / "trades.csv", index=False) + with open(out_dir / "backtest_report.json", "w", encoding="utf-8") as f: + json.dump(report.to_dict(), f, indent=2, ensure_ascii=False) + + if not report.trades_list: + fig, ax = plt.subplots(figsize=(10, 4)) + ax.text(0.5, 0.5, "No trades in backtest window", ha="center", va="center", fontsize=14) + ax.axis("off") + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + return + + df = pd.DataFrame(rows) + df["close_time"] = pd.to_datetime(df["close_time"]) + df = df.sort_values("close_time") + bal0 = report.params.get("initial_balance", 10_000.0) + eq = report.equity_curve if report.equity_curve is not None and len(report.equity_curve) > 1 else None + if eq is None: + eq = pd.Series(bal0 + df["profit"].cumsum().values, index=df["close_time"]) + equity_times, equity = eq.index, eq + dd = (equity - equity.cummax()) / equity.cummax() * 100 + + fig = plt.figure(figsize=(14, 10)) + gs = fig.add_gridspec(3, 2, height_ratios=[2, 1.2, 1.2]) + ax1 = fig.add_subplot(gs[0, :]) + ax1.plot(equity_times, equity, lw=1.8) + ax1.axhline(bal0, color="gray", ls="--") + ax1.set_title("Equity Curve") + ax1.grid(alpha=0.3) + ax2 = fig.add_subplot(gs[1, 0]) + ax2.fill_between(equity_times, dd, 0, color="#d62728", alpha=0.35) + ax2.set_title("Drawdown %") + ax2.grid(alpha=0.3) + ax3 = fig.add_subplot(gs[1, 1]) + df["month"] = df["close_time"].dt.to_period("M") + monthly = df.groupby("month")["profit"].sum() + ax3.bar(range(len(monthly)), monthly.values, color=["#2ca02c" if v >= 0 else "#d62728" for v in monthly]) + ax3.set_title("Monthly PnL") + ax4 = fig.add_subplot(gs[2, 0]) + ax4.hist(df["profit"], bins=30, color="#9467bd", alpha=0.85) + ax4.axvline(0, color="black") + ax4.set_title("Trade PnL Distribution") + ax5 = fig.add_subplot(gs[2, 1]) + rc = df["exit_reason"].value_counts() + ax5.bar(rc.index.astype(str), rc.values, color="#ff7f0e") + ax5.set_title("Exit Reasons") + fig.suptitle( + f"{STRATEGY_ID} — Net ${report.net_profit:,.2f} | Trades {report.total_trades} | " + f"WR {report.win_rate:.1f}% | PF {report.profit_factor:.2f} | MaxDD {report.max_drawdown_pct:.2f}%", + fontsize=11, + ) + fig.tight_layout(rect=[0, 0, 1, 0.96]) + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + + +def run_backtest(df, symbol, params: StrategyParams, costs, period_label) -> BacktestReport: + info = mt5.symbol_info(symbol) + point = float(info.point) if info else 0.00001 + pip = pip_size(symbol) + fast = calculate_ema(df["close"], params.fast_ema).to_numpy() + slow = calculate_ema(df["close"], params.slow_ema).to_numpy() + atr = calculate_atr(df, params.atr_period).to_numpy() + p = params.to_dict() + + def on_bar(i, st, open_pos, close): + if i < 3 or np.isnan(fast[i - 1]) or np.isnan(slow[i - 1]): + return + + fast1, fast2 = fast[i - 1], fast[i - 2] + slow1, slow2 = slow[i - 1], slow[i - 2] + bull = fast2 <= slow2 and fast1 > slow1 + bear = fast2 >= slow2 and fast1 < slow1 + gap_pips = abs(fast1 - slow1) / pip if pip > 0 else 0.0 + mid = float(df["open"].iloc[i]) + hi, lo = float(df["high"].iloc[i]), float(df["low"].iloc[i]) + atr1 = float(atr[i - 1]) if not np.isnan(atr[i - 1]) else 0.0 + + bars_held = i - st.entry_i if st.side else 0 + if st.side and params.max_bars_in_trade > 0 and bars_held >= params.max_bars_in_trade: + close(i, mid, "max_bars") + return + + if st.side and params.exit_on_cross: + if st.side == "BUY" and bear: + close(i, mid, "bear_cross") + return + if st.side == "SELL" and bull: + close(i, mid, "bull_cross") + return + + if st.side and params.use_trailing: + trail = params.trail_pips * pip + if st.side == "BUY" and hi - st.entry > trail: + new_sl = hi - trail + if st.sl is None or new_sl > st.sl: + st.sl = new_sl + elif st.side == "SELL" and st.entry - lo > trail: + new_sl = lo + trail + if st.sl is None or new_sl < st.sl: + st.sl = new_sl + + if st.side == "BUY": + if params.use_atr_stops and atr1 > 0: + sl_px = st.entry - atr1 * params.atr_sl_mult + tp_px = st.entry + atr1 * params.atr_tp_mult + else: + sl_px = st.entry - params.stop_loss_pips * pip + tp_px = st.entry + params.take_profit_pips * pip + if lo <= sl_px: + close(i, sl_px, "sl") + return + if hi >= tp_px: + close(i, tp_px, "tp") + return + elif st.side == "SELL": + if params.use_atr_stops and atr1 > 0: + sl_px = st.entry + atr1 * params.atr_sl_mult + tp_px = st.entry - atr1 * params.atr_tp_mult + else: + sl_px = st.entry + params.stop_loss_pips * pip + tp_px = st.entry - params.take_profit_pips * pip + if hi >= sl_px: + close(i, sl_px, "sl") + return + if lo <= tp_px: + close(i, tp_px, "tp") + return + else: + spread_pips = costs.spread_points * point / pip if pip > 0 else 0 + if params.max_spread_pips > 0 and spread_pips > params.max_spread_pips: + return + if bull and gap_pips >= params.min_ema_gap_pips: + open_pos(i, "BUY", mid) + elif bear and gap_pips >= params.min_ema_gap_pips: + open_pos(i, "SELL", mid) + + return run_single_position( + df, symbol, point, costs, params.lot_size, + STRATEGY_ID, "H1", period_label, p, params.initial_balance, on_bar, + ) + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description=f"{STRATEGY_ID} Python backtest (MT5 data)") + p.add_argument("--symbol", default=DEFAULT_SYMBOL) + p.add_argument("--start", default="2023-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--balance", type=float, default=10_000.0) + p.add_argument("--fast", type=int, default=12) + p.add_argument("--slow", type=int, default=26) + p.add_argument("--lot", type=float, default=0.10) + p.add_argument("--atr-sl", type=float, default=1.5) + p.add_argument("--atr-tp", type=float, default=2.5) + p.add_argument("--no-atr", action="store_true") + return p.parse_args() + + +def main() -> None: + args = parse_args() + out_dir = Path(__file__).resolve().parent + params = StrategyParams( + fast_ema=args.fast, + slow_ema=args.slow, + lot_size=args.lot, + atr_sl_mult=args.atr_sl, + atr_tp_mult=args.atr_tp, + use_atr_stops=not args.no_atr, + initial_balance=args.balance, + ) + if not mt5.initialize(): + raise SystemExit("MetaTrader5 initialize() failed — open MT5 and log in first") + try: + symbol = resolve_symbol(args.symbol) + start = datetime.fromisoformat(args.start) + end = datetime.fromisoformat(args.end) + period_label = f"{args.start}_{args.end}" + print(f"Loading {symbol} H1 bars {args.start} → {args.end} ...") + df = load_bars(symbol, DEFAULT_TF, start, end) + costs = CostModel.for_symbol(symbol) + report = run_backtest(df, symbol, params, costs, period_label) + save_reports(report, out_dir) + print( + f"Net: ${report.net_profit:,.2f} | Trades: {report.total_trades} | " + f"WR: {report.win_rate:.1f}% | PF: {report.profit_factor:.2f} | " + f"MaxDD: {report.max_drawdown_pct:.2f}%" + ) + print(f"Saved trades.csv + charts → {out_dir}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/SimpleEMA/run_full_pipeline.py b/lab/EAs/SimpleEMA/run_full_pipeline.py new file mode 100644 index 0000000..684bdf0 --- /dev/null +++ b/lab/EAs/SimpleEMA/run_full_pipeline.py @@ -0,0 +1,66 @@ +#!/usr/bin/env python3 +""" +Full pipeline: per-symbol param search -> MT5 validate -> sync enabled -> MT5 re-run enabled set. + +Usage: + python run_full_pipeline.py + python run_full_pipeline.py --skip-python-opt # MT5 only on existing params + python run_full_pipeline.py --mt5-only-enabled # second pass after sync +""" + +from __future__ import annotations + +import argparse +import json +import subprocess +import sys +from pathlib import Path + +LAB = Path(__file__).resolve().parent + + +def run(cmd: list[str]) -> None: + print(f"\n>>> {' '.join(cmd)}\n") + subprocess.run(cmd, cwd=LAB, check=True) + + +def main() -> None: + ap = argparse.ArgumentParser() + ap.add_argument("--config", default="portfolio_symbols_expanded.json") + ap.add_argument("--trials", type=int, default=280) + ap.add_argument("--from", dest="from_date", default="2020.01.01") + ap.add_argument("--to", dest="to_date", default="2026.01.01") + ap.add_argument("--skip-python-opt", action="store_true") + ap.add_argument("--mt5-only-enabled", action="store_true", help="after sync, re-test enabled symbols only") + args = ap.parse_args() + + py = sys.executable + cfg = LAB / args.config + + if not args.skip_python_opt: + run([py, "run_optimize_portfolio.py", "--config", str(cfg), "--trials", str(args.trials), "--min-trades", "8"]) + + run([py, "run_mt5_portfolio.py", "--params", "portfolio_params.json", "--from", args.from_date, "--to", args.to_date]) + + run([py, "sync_portfolio_from_mt5.py", "--min-pf", "1.0", "--min-trades", "8"]) + + run([py, "run_mt5_portfolio.py", "--params", "portfolio_params.json", "--enabled-only", "--from", args.from_date, "--to", args.to_date]) + + run([py, "generate_mt5_portfolio_report.py"]) + + mt5 = json.loads((LAB / "best_run" / "mt5_results.json").read_text(encoding="utf-8")) + params = json.loads((LAB / "portfolio_params.json").read_text(encoding="utf-8")) + en = [m for m in params["members"] if m.get("enabled")] + trades = sum(m.get("mt5_metrics", {}).get("total_trades", 0) for m in en) + net = sum(m.get("mt5_metrics", {}).get("net_profit", 0) for m in en) + total = mt5["portfolio"]["total_trades"] + + print("\n=== PIPELINE DONE ===") + print(f" MT5 tested (all): {total} trades") + print(f" MT5 enabled ({len(en)} syms): {trades} trades net=${net:,.2f}") + print(f" Target 2000+: {'YES' if trades >= 2000 else 'NO — add symbols or run MT5 genetic optimize'}") + print(f" Report: best_run/MT5_PORTFOLIO_REPORT.md") + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/SimpleEMA/run_mt5_portfolio.py b/lab/EAs/SimpleEMA/run_mt5_portfolio.py new file mode 100644 index 0000000..70e34c8 --- /dev/null +++ b/lab/EAs/SimpleEMA/run_mt5_portfolio.py @@ -0,0 +1,205 @@ +#!/usr/bin/env python3 +""" +Run MT5 Strategy Tester for each enabled portfolio symbol (source of truth). + +Each symbol: main.mq5 + per-symbol .set from portfolio_params.json. +Aggregates HTML report metrics into best_run/mt5_results.json. + +Usage: + python run_mt5_portfolio.py + python run_mt5_portfolio.py --only EURUSD,XAUUSD + python run_mt5_portfolio.py --from 2020.01.01 --to 2026.01.01 +""" + +from __future__ import annotations + +import argparse +import json +import shutil +import sys +import time +from datetime import datetime +from pathlib import Path + +LAB = Path(__file__).resolve().parent +ROOT = LAB.parents[2] # repo root: .../profitable-expert-advisor +sys.path.insert(0, str(LAB)) + +from run_mt5_tester import mt5_context, run_tester # noqa: E402 + + +def write_member_set(params: dict, path: Path) -> None: + """Write MT5 .set from portfolio_params member dict (no Python backtest imports).""" + p = params + lines = [ + "; SimpleEMA v5 — per-symbol MT5 set", + "Timeframe=16388", + f"FastEmaPeriod={p['fast_ema']}", + f"SlowEmaPeriod={p['slow_ema']}", + f"TrendLegBars={p['trend_leg_bars']}", + f"MinEmaGapPips={p['min_ema_gap_pips']}", + f"CrossCooldown={p['cross_cooldown']}", + f"PullbackCooldown={p['pullback_cooldown']}", + f"UsePullback={'true' if p['use_pullback'] else 'false'}", + f"PullbackTouch={p['pullback_touch']}", + f"PullbackAdxMin={p['pullback_adx_min']}", + f"PullbackMinGapPips={p['pullback_min_gap_pips']}", + f"MaxPullbacksPerLeg={p['max_pullbacks_per_leg']}", + f"AtrPeriod={p['atr_period']}", + f"AtrSlMult={p['atr_sl_mult']}", + f"AtrTpMult={p['atr_tp_mult']}", + f"MaxBarsInTrade={p['max_bars_in_trade']}", + f"HtfEmaPeriod={p['htf_ema_period']}", + f"UseHtfFilter={'true' if p['use_htf_filter'] else 'false'}", + f"UseAdxFilter={'true' if p['use_adx_filter'] else 'false'}", + f"AdxPeriod={p['adx_period']}", + f"AdxMin={p['adx_min']}", + f"SessionStartHour={p['session_start']}", + f"SessionEndHour={p['session_end']}", + f"MaxSpreadPips={p['max_spread_pips']}", + f"LotSize={p['lot_size']}", + ] + path.write_text("\n".join(lines) + "\n", encoding="utf-8") + +SETS_DIR = LAB / "mt5_sets" +OUT_DIR = LAB / "best_run" / "mt5_reports" +RESULTS_JSON = LAB / "best_run" / "mt5_results.json" + + +def load_members(params_path: Path, only: set[str] | None, enabled_only: bool = False) -> tuple[list[dict], dict]: + data = json.loads(params_path.read_text(encoding="utf-8")) + members = [m for m in data.get("members", []) if "params" in m] + if enabled_only: + members = [m for m in members if m.get("enabled")] + if only: + only_up = {s.upper() for s in only} + members = [m for m in members if m["symbol"].upper() in only_up or m.get("requested", "").upper() in only_up] + return members, data.get("config", {}) + + +def tester_symbol(sym: str) -> str: + """Use broker symbol as stored in portfolio_params.""" + return sym.split(".")[0] if "." not in sym else sym + + +def main() -> None: + ap = argparse.ArgumentParser() + ap.add_argument("--params", type=Path, default=LAB / "portfolio_params.json") + ap.add_argument("--only", default="", help="comma-separated symbols, e.g. EURUSD,XAUUSD") + ap.add_argument("--enabled-only", action="store_true", help="test only MT5-enabled symbols") + ap.add_argument("--from", dest="from_date", default="2020.01.01") + ap.add_argument("--to", dest="to_date", default="2026.01.01") + ap.add_argument("--period", default="M15", choices=["M15", "M30", "H1", "H4"]) + ap.add_argument("--deposit", type=float, default=10000) + ap.add_argument("--leverage", type=int, default=100) + args = ap.parse_args() + + only = {s.strip() for s in args.only.split(",") if s.strip()} or None + members, cfg = load_members(args.params, only, enabled_only=args.enabled_only) + if not members: + raise SystemExit("No enabled members in portfolio_params.json") + + SETS_DIR.mkdir(exist_ok=True) + OUT_DIR.mkdir(parents=True, exist_ok=True) + (LAB / "best_run").mkdir(exist_ok=True) + + ctx = mt5_context() + rows: list[dict] = [] + t0 = time.time() + + print(f"MT5 portfolio backtest: {len(members)} symbols {args.from_date} -> {args.to_date} {args.period}") + print("(Each symbol = separate MT5 Strategy Tester run with its own .set)\n") + + for i, m in enumerate(members, 1): + sym = m["symbol"] + test_sym = tester_symbol(sym) + set_name = f"SimpleEMA_{test_sym}.set" + set_path = SETS_DIR / set_name + write_member_set(m["params"], set_path) + + report = f"SimpleEMA_pf_{test_sym}" + print(f"[{i}/{len(members)}] {test_sym} ...") + try: + metrics = run_tester( + ctx, + mode="backtest", + set_path=set_path, + set_name=set_name, + report=report, + symbol=test_sym, + period=args.period, + from_date=args.from_date, + to_date=args.to_date, + deposit=args.deposit, + leverage=args.leverage, + visual=False, + timeout_sec=7200, + ) + except Exception as exc: # noqa: BLE001 + print(f" FAIL {test_sym}: {exc}") + rows.append({"symbol": sym, "ready": False, "error": str(exc)}) + continue + + if metrics.get("ready") and metrics.get("report"): + src = Path(metrics["report"]) + dst = OUT_DIR / src.name + shutil.copy2(src, dst) + metrics["report_local"] = str(dst) + + row = { + "symbol": sym, + "test_symbol": test_sym, + "ready": metrics.get("ready", False), + "net_profit": metrics.get("net_profit"), + "total_trades": metrics.get("total_trades"), + "profit_factor": metrics.get("profit_factor"), + "sharpe": metrics.get("sharpe"), + "max_drawdown": metrics.get("max_drawdown"), + "elapsed_sec": metrics.get("elapsed_sec"), + "report": metrics.get("report_local") or metrics.get("report"), + "set_file": str(set_path), + } + rows.append(row) + if row["ready"]: + print( + f" OK net={row['net_profit']} trades={row['total_trades']} " + f"PF={row['profit_factor']} ({row['elapsed_sec']}s)" + ) + else: + print(f" NO REPORT for {test_sym}") + + ok = [r for r in rows if r.get("ready")] + total_trades = sum(r.get("total_trades") or 0 for r in ok) + total_net = sum(r.get("net_profit") or 0 for r in ok) + gp = sum(r.get("net_profit") or 0 for r in ok if (r.get("net_profit") or 0) > 0) + gl = abs(sum(r.get("net_profit") or 0 for r in ok if (r.get("net_profit") or 0) < 0)) + + payload = { + "source": "mt5_strategy_tester", + "generated_at": datetime.now().isoformat(timespec="seconds"), + "period": {"from": args.from_date, "to": args.to_date, "timeframe": args.period}, + "deposit_per_symbol": args.deposit, + "note": "Sum of independent MT5 single-symbol runs. NOT Python simulation.", + "portfolio": { + "symbols_tested": len(ok), + "symbols_failed": len(rows) - len(ok), + "total_trades": total_trades, + "net_profit_sum": round(total_net, 2), + "profit_factor_approx": round(gp / gl, 2) if gl > 0 else None, + }, + "per_symbol": rows, + } + RESULTS_JSON.write_text(json.dumps(payload, indent=2), encoding="utf-8") + + print(f"\n=== MT5 Portfolio (aggregated) ===") + print(f" symbols OK: {len(ok)}/{len(rows)}") + print(f" total_trades: {total_trades}") + print(f" net_profit (sum): ${total_net:,.2f}") + print(f" saved: {RESULTS_JSON}") + print(f" HTML reports: {OUT_DIR}") + print(f" elapsed: {time.time() - t0:.0f}s") + print("\nNext: python generate_mt5_portfolio_report.py") + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/SimpleEMA/run_mt5_preset_sweep.py b/lab/EAs/SimpleEMA/run_mt5_preset_sweep.py new file mode 100644 index 0000000..5698e2b --- /dev/null +++ b/lab/EAs/SimpleEMA/run_mt5_preset_sweep.py @@ -0,0 +1,305 @@ +#!/usr/bin/env python3 +""" +Per-symbol MT5 preset sweep (Strategy Tester = source of truth). + +Tests curated high-frequency v5 presets per symbol, picks best by +profit + trade-count score, writes portfolio_params.json + mt5_sets/. + +Usage: + python run_mt5_preset_sweep.py + python run_mt5_preset_sweep.py --only EURUSD,XAGUSD,XAUUSD + python run_mt5_preset_sweep.py --config portfolio_symbols_expanded.json +""" + +from __future__ import annotations + +import argparse +import json +import sys +import time +from dataclasses import asdict, replace +from datetime import datetime +from pathlib import Path + +LAB = Path(__file__).resolve().parent +sys.path.insert(0, str(LAB)) + +from run_mt5_portfolio import write_member_set # noqa: E402 +from run_mt5_tester import mt5_context, run_tester # noqa: E402 +from run_portfolio_v5 import load_portfolio_config # noqa: E402 +from strategy_v5 import V5Params # noqa: E402 + +OUT_PATH = LAB / "portfolio_params.json" +SETS_DIR = LAB / "mt5_sets" +SWEEP_LOG = LAB / "best_run" / "mt5_preset_sweep.json" + + +def is_metal(name: str) -> bool: + b = name.upper().split(".")[0] + return b.startswith("XAU") or b.startswith("XAG") or b.startswith("XPT") or b.startswith("XPD") + + +def is_oil(name: str) -> bool: + b = name.upper() + return "XTI" in b or "XBR" in b or "OIL" in b + + +def is_index(name: str) -> bool: + b = name.upper().split(".")[0] + return b in {"US500", "NAS100", "US30", "GER40", "UK100", "JPN225", "SPX500", "USTEC"} + + +def is_crypto(name: str) -> bool: + b = name.upper().split(".")[0] + return b.startswith("BTC") or b.startswith("ETH") + + +def presets_for_symbol(name: str, lot: float, spread_cap: float) -> list[V5Params]: + base = [ + V5Params(fast_ema=8, slow_ema=30, cross_cooldown=2, htf_ema_period=100, use_pullback=False), + V5Params(fast_ema=9, slow_ema=34, cross_cooldown=2, htf_ema_period=100, use_pullback=False), + V5Params(fast_ema=10, slow_ema=36, cross_cooldown=2, use_htf_filter=False, use_pullback=False), + V5Params(fast_ema=7, slow_ema=28, cross_cooldown=2, htf_ema_period=100, use_pullback=False), + V5Params( + fast_ema=8, slow_ema=30, cross_cooldown=2, use_pullback=True, + pullback_cooldown=2, trend_leg_bars=48, + ), + V5Params( + fast_ema=10, slow_ema=36, cross_cooldown=3, use_pullback=True, + max_pullbacks_per_leg=2, + ), + V5Params( + fast_ema=11, slow_ema=40, cross_cooldown=4, use_pullback=True, + pullback_adx_min=18, + ), + V5Params(fast_ema=10, slow_ema=46, cross_cooldown=4, htf_ema_period=200, use_pullback=False), + V5Params( + fast_ema=8, slow_ema=30, cross_cooldown=2, session_start=0, session_end=24, + use_htf_filter=False, use_pullback=False, + ), + V5Params( + fast_ema=9, slow_ema=34, cross_cooldown=3, use_pullback=True, + pullback_touch=1, pullback_adx_min=20, + ), + V5Params( + fast_ema=10, slow_ema=40, cross_cooldown=3, use_adx_filter=True, + adx_min=15, use_pullback=False, + ), + V5Params( + fast_ema=8, slow_ema=36, cross_cooldown=2, use_pullback=True, + max_pullbacks_per_leg=2, trend_leg_bars=64, + ), + V5Params(fast_ema=8, slow_ema=26, cross_cooldown=2, use_htf_filter=False, use_pullback=False), + V5Params(fast_ema=9, slow_ema=30, cross_cooldown=2, use_pullback=True, max_pullbacks_per_leg=2), + # ultra high-frequency (more trades) + V5Params(fast_ema=7, slow_ema=24, cross_cooldown=2, use_htf_filter=False, use_pullback=False), + V5Params(fast_ema=8, slow_ema=26, cross_cooldown=2, session_start=0, session_end=24, use_htf_filter=False, use_pullback=False), + V5Params(fast_ema=7, slow_ema=22, cross_cooldown=2, use_pullback=True, max_pullbacks_per_leg=2, trend_leg_bars=72), + V5Params(fast_ema=9, slow_ema=28, cross_cooldown=2, use_htf_filter=False, use_pullback=True, pullback_cooldown=2), + ] + out: list[V5Params] = [] + for p0 in base: + p = replace(p0, lot_size=lot, max_spread_pips=spread_cap) + if is_metal(name): + p = replace(p, atr_sl_mult=2.5, atr_tp_mult=5.0, min_ema_gap_pips=1.0) + elif is_oil(name): + p = replace(p, atr_sl_mult=2.2, atr_tp_mult=4.5, max_spread_pips=max(spread_cap, 25.0)) + elif is_index(name) or is_crypto(name): + p = replace(p, atr_sl_mult=2.0, atr_tp_mult=4.0, min_ema_gap_pips=2.0) + elif "JPY" in name.upper() or "CNH" in name.upper(): + p = replace(p, max_spread_pips=max(spread_cap, 12.0)) + out.append(p) + return out + + +def score_mt5(net: float | None, trades: int | None, pf: float | None) -> float: + net = net or 0.0 + trades = trades or 0 + pf = pf or 0.0 + if net > 0 and pf >= 1.0: + return net + trades * 10.0 + if net > 0 and pf >= 0.95: + return net + trades * 4.0 + return net + trades * 0.15 + + +def sweep_symbol( + ctx: dict, + sym: str, + spread_cap: float, + lot: float, + from_date: str, + to_date: str, + period: str, + deposit: float, + leverage: int, +) -> dict: + test_sym = sym.split(".")[0] + presets = presets_for_symbol(sym, lot, spread_cap) + trials: list[dict] = [] + best: dict | None = None + best_score = -1e18 + + for i, p in enumerate(presets, 1): + set_name = f"SimpleEMA_sweep_{test_sym}_{i}.set" + set_path = SETS_DIR / set_name + write_member_set(asdict(p), set_path) + report = f"SimpleEMA_sweep_{test_sym}_{i}" + try: + m = run_tester( + ctx, + mode="backtest", + set_path=set_path, + set_name=set_name, + report=report, + symbol=test_sym, + period=period, + from_date=from_date, + to_date=to_date, + deposit=deposit, + leverage=leverage, + visual=False, + timeout_sec=7200, + ) + except Exception as exc: # noqa: BLE001 + trials.append({"preset": i, "error": str(exc)}) + continue + + if not m.get("ready"): + trials.append({"preset": i, "ready": False}) + continue + + sc = score_mt5(m.get("net_profit"), m.get("total_trades"), m.get("profit_factor")) + row = { + "preset": i, + "net_profit": m.get("net_profit"), + "total_trades": m.get("total_trades"), + "profit_factor": m.get("profit_factor"), + "score": round(sc, 2), + "params": asdict(p), + } + trials.append(row) + if sc > best_score: + best_score = sc + best = row + + if not best: + raise RuntimeError(f"no MT5 results for {sym}") + + pf = best.get("profit_factor") or 0 + net = best.get("net_profit") or 0 + trades = best.get("total_trades") or 0 + enabled = net > 0 and pf >= 1.0 and trades >= 8 + flag = "OK" if enabled else "--" + print( + f" [{flag}] {test_sym}: preset #{best['preset']} " + f"net=${net:,.0f} t={trades} PF={pf:.2f} score={best_score:,.0f}" + ) + return { + "requested": sym, + "symbol": sym, + "enabled": enabled, + "max_spread_pips": spread_cap, + "params": best["params"], + "mt5_metrics": { + "net_profit": net, + "total_trades": trades, + "profit_factor": pf, + "preset_id": best["preset"], + "score": best_score, + }, + "sweep_trials": trials, + } + + +def main() -> None: + ap = argparse.ArgumentParser() + ap.add_argument("--config", type=Path, default=LAB / "portfolio_symbols_expanded.json") + ap.add_argument("--only", default="", help="comma-separated symbols") + ap.add_argument("--from", dest="from_date", default="2020.01.01") + ap.add_argument("--to", dest="to_date", default="2026.01.01") + ap.add_argument("--period", default="M15", choices=["M15", "M30", "H1"]) + ap.add_argument("--deposit", type=float, default=10000) + ap.add_argument("--leverage", type=int, default=100) + args = ap.parse_args() + + cfg = load_portfolio_config(args.config) + only = {s.strip().upper() for s in args.only.split(",") if s.strip()} or None + lot = cfg.get("lot_per_symbol", 0.05) + + SETS_DIR.mkdir(exist_ok=True) + (LAB / "best_run").mkdir(exist_ok=True) + + entries = cfg["symbols"] + if only: + entries = [e for e in entries if e["name"].upper() in only] + + ctx = mt5_context() + members: list[dict] = [] + existing_by_sym: dict[str, dict] = {} + if args.only and OUT_PATH.exists(): + prev = json.loads(OUT_PATH.read_text(encoding="utf-8")) + existing_by_sym = {m["symbol"]: m for m in prev.get("members", []) if "symbol" in m} + + t0 = time.time() + print(f"MT5 preset sweep: {len(entries)} symbols x ~14 presets {args.from_date} -> {args.to_date}\n") + + for i, entry in enumerate(entries, 1): + sym = entry["name"] + print(f"[{i}/{len(entries)}] {sym}") + try: + members.append( + sweep_symbol( + ctx, + sym, + entry.get("max_spread_pips", 8.0), + lot, + args.from_date, + args.to_date, + args.period, + args.deposit, + args.leverage, + ) + ) + except Exception as exc: # noqa: BLE001 + print(f" FAIL {sym}: {exc}") + members.append({"requested": sym, "symbol": sym, "enabled": False, "error": str(exc)}) + + if args.only and existing_by_sym: + for m in members: + existing_by_sym[m["symbol"]] = m + members = list(existing_by_sym.values()) + members.sort(key=lambda x: x.get("symbol", "")) + + enabled = [m for m in members if m.get("enabled")] + en_trades = sum(m["mt5_metrics"]["total_trades"] for m in enabled) + en_net = sum(m["mt5_metrics"]["net_profit"] for m in enabled) + + payload = { + "version": 5, + "mode": "mt5_preset_sweep", + "optimized_at": datetime.now().isoformat(timespec="seconds"), + "config": cfg, + "selection_source": "mt5_strategy_tester", + "members": members, + "mt5_enabled_count": len(enabled), + "mt5_enabled_trades": en_trades, + "mt5_enabled_net": round(en_net, 2), + } + OUT_PATH.write_text(json.dumps(payload, indent=2), encoding="utf-8") + SWEEP_LOG.write_text(json.dumps(payload, indent=2), encoding="utf-8") + + print(f"\n=== MT5 Preset Sweep Done ({time.time() - t0:.0f}s) ===") + print(f" enabled: {len(enabled)}/{len(members)}") + print(f" MT5 trades (enabled): {en_trades}") + print(f" MT5 net (enabled): ${en_net:,.2f}") + print(f" 2000+ target: {'YES' if en_trades >= 2000 else 'NO'}") + print(f" saved: {OUT_PATH}") + print("\nNext:") + print(" python sync_portfolio_from_mt5.py --min-pf 1.0 --min-trades 8") + print(" python run_mt5_portfolio.py --enabled-only --from 2020.01.01 --to 2026.01.01") + print(" python generate_mt5_portfolio_report.py") + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/SimpleEMA/run_mt5_tester.py b/lab/EAs/SimpleEMA/run_mt5_tester.py new file mode 100644 index 0000000..7f02ae4 --- /dev/null +++ b/lab/EAs/SimpleEMA/run_mt5_tester.py @@ -0,0 +1,285 @@ +""" +Launch MT5 Strategy Tester for SimpleEMA (native backtest / genetic optimize). + +Requires MT5 running and logged in. Compiles main.mq5 into your terminal data folder, +then runs terminal64.exe /config:... (same flow as cluster united_mt5_runner). + +Examples: + python run_mt5_tester.py backtest + python run_mt5_tester.py backtest --visual + python run_mt5_tester.py optimize + python run_mt5_tester.py backtest --symbol EURUSD --from 2023.01.01 --to 2026.01.01 +""" + +from __future__ import annotations + +import argparse +import re +import shutil +import subprocess +import time +from pathlib import Path + +import MetaTrader5 as mt5 + +LAB = Path(__file__).resolve().parent +EA_SRC = LAB / "main.mq5" +DEFAULT_SET = LAB / "SimpleEMA_EURUSD.set" +OPT_SET = LAB / "SimpleEMA_Genetic_Optimization.set" + +LABELS = { + "profit_factor": ("Profit Factor", "盈利因子"), + "net_profit": ("Total Net Profit", "总净盈利"), + "total_trades": ("Total Trades", "交易总计"), + "sharpe": ("Sharpe Ratio", "夏普比率"), + "equity_dd": ("Equity Drawdown Maximal", "最大回撤"), +} + + +def read_text(path: Path) -> str: + text = path.read_text(encoding="utf-16", errors="ignore") + if not text.strip(): + text = path.read_text(encoding="utf-8", errors="ignore") + return text + + +def grab_metric(text: str, key: str) -> str | None: + for label in LABELS[key]: + for pat in ( + rf">{re.escape(label)}\s*]*>(?:)?([^<]+)", + rf">{re.escape(label)}:\s*]*>(?:)?([^<]+)", + ): + m = re.search(pat, text, re.I) + if m: + return m.group(1).strip() + return None + + +def parse_report(data: Path, report: str) -> dict: + for path in sorted(data.glob(f"**/{report}*.htm*"), key=lambda p: p.stat().st_mtime, reverse=True): + text = read_text(path) + pf = grab_metric(text, "profit_factor") + profit = grab_metric(text, "net_profit") + trades = grab_metric(text, "total_trades") + sharpe = grab_metric(text, "sharpe") + dd = grab_metric(text, "equity_dd") + if pf or profit or trades: + return { + "profit_factor": float(pf) if pf else None, + "net_profit": _num(profit), + "total_trades": int(float(trades)) if trades and trades[0].isdigit() else None, + "sharpe": float(sharpe) if sharpe else None, + "max_drawdown": dd, + "report": str(path), + "ready": True, + } + for ext in (".htm", ".html"): + p = data / f"{report}{ext}" + if p.exists(): + text = read_text(p) + pf = grab_metric(text, "profit_factor") + if pf: + return {"ready": True, "report": str(p), "profit_factor": float(pf)} + return {"ready": False} + + +def _num(s: str | None) -> float | None: + if not s: + return None + s = s.replace(" ", "").replace(",", "") + if s.endswith("%"): + return float(s[:-1]) + return float(s) + + +def mt5_context() -> dict: + if not mt5.initialize(): + raise RuntimeError(f"MT5 init failed: {mt5.last_error()}") + info = mt5.terminal_info() + acc = mt5.account_info() + ctx = { + "data": Path(info.data_path), + "mt5_path": Path(info.path), + "login": acc.login if acc else 0, + "server": acc.server if acc else "", + } + mt5.shutdown() + return ctx + + +def deploy_ea(data: Path, mt5_path: Path) -> Path: + dst_dir = data / "MQL5" / "Experts" / "lab" / "SimpleEMA" + dst_dir.mkdir(parents=True, exist_ok=True) + dst = dst_dir / "main.mq5" + shutil.copy2(EA_SRC, dst) + log = dst_dir / "compile.log" + subprocess.run( + [str(mt5_path / "metaeditor64.exe"), f"/compile:{dst}", f"/log:{log}"], + timeout=180, + capture_output=True, + ) + time.sleep(3) + ex5 = dst_dir / "main.ex5" + if not ex5.exists(): + tail = log.read_text(encoding="utf-8", errors="ignore")[-2000:] if log.exists() else "" + raise RuntimeError(f"Compile failed — open MetaEditor and check:\n{dst}\n{tail}") + pub = data / "MQL5" / "Experts" / "SimpleEMA.ex5" + shutil.copy2(ex5, pub) + return pub + + +def copy_set_to_tester(data: Path, set_path: Path, set_name: str) -> Path: + profiles = data / "MQL5" / "Profiles" / "Tester" + profiles.mkdir(parents=True, exist_ok=True) + dst = profiles / set_name + shutil.copy2(set_path, dst) + return dst + + +def build_ini( + *, + set_name: str, + report: str, + login: int, + server: str, + symbol: str, + period: str, + from_date: str, + to_date: str, + deposit: float, + leverage: int, + optimization: int, + visual: bool, +) -> str: + return f"""[Common] +Login={login} +Server={server} +[Tester] +Expert=SimpleEMA.ex5 +ExpertParameters={set_name} +Symbol={symbol} +Period={period} +Optimization={optimization} +Model=1 +Dates=1 +FromDate={from_date} +ToDate={to_date} +ForwardMode=0 +Deposit={deposit} +Currency=USD +Leverage={leverage} +ExecutionMode=0 +Report={report} +ReplaceReport=1 +ShutdownTerminal=1 +Visual={1 if visual else 0} +""" + + +def run_tester( + ctx: dict, + *, + mode: str, + set_path: Path, + set_name: str, + report: str, + symbol: str, + period: str, + from_date: str, + to_date: str, + deposit: float, + leverage: int, + visual: bool, + timeout_sec: int = 3600, +) -> dict: + data: Path = ctx["data"] + mt5_path: Path = ctx["mt5_path"] + deploy_ea(data, mt5_path) + copy_set_to_tester(data, set_path, set_name) + + optimization = 2 if mode == "optimize" else 0 + ini_body = build_ini( + set_name=set_name, + report=report, + login=ctx["login"], + server=ctx["server"], + symbol=symbol, + period=period, + from_date=from_date, + to_date=to_date, + deposit=deposit, + leverage=leverage, + optimization=optimization, + visual=visual, + ) + ini = data / f"{report}.ini" + ini.write_text(ini_body, encoding="utf-8") + for ext in (".htm", ".html"): + p = data / f"{report}{ext}" + if p.exists(): + p.unlink(missing_ok=True) + + subprocess.run(["taskkill", "/IM", "terminal64.exe", "/F"], capture_output=True) + subprocess.run(["taskkill", "/IM", "metatester64.exe", "/F"], capture_output=True) + time.sleep(4) + + print(f"Starting MT5 Strategy Tester ({mode}) …") + print(f" EA: SimpleEMA.ex5 Symbol: {symbol} Period: {period}") + print(f" Range: {from_date} → {to_date} Visual: {visual}") + t0 = time.time() + subprocess.run([str(mt5_path / "terminal64.exe"), f"/config:{ini}"], timeout=timeout_sec) + metrics = parse_report(data, report) + metrics["elapsed_sec"] = round(time.time() - t0, 1) + metrics["mode"] = mode + return metrics + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description="SimpleEMA MT5 Strategy Tester launcher") + p.add_argument("mode", choices=["backtest", "optimize"], help="backtest or genetic optimize") + p.add_argument("--symbol", default="EURUSD") + p.add_argument("--period", default="H1", choices=["M15", "M30", "H1", "H4"]) + p.add_argument("--from", dest="from_date", default="2023.01.01") + p.add_argument("--to", dest="to_date", default="2026.01.01") + p.add_argument("--deposit", type=float, default=10000) + p.add_argument("--leverage", type=int, default=100) + p.add_argument("--visual", action="store_true", help="Visual mode (watch bars tick by tick)") + p.add_argument("--set", dest="set_file", default="", help="Custom .set path") + return p.parse_args() + + +def main() -> None: + args = parse_args() + ctx = mt5_context() + set_path = Path(args.set_file) if args.set_file else (OPT_SET if args.mode == "optimize" else DEFAULT_SET) + set_name = set_path.name + report = f"SimpleEMA_{args.symbol}_{args.mode}" + + metrics = run_tester( + ctx, + mode=args.mode, + set_path=set_path, + set_name=set_name, + report=report, + symbol=args.symbol, + period=args.period, + from_date=args.from_date, + to_date=args.to_date, + deposit=args.deposit, + leverage=args.leverage, + visual=args.visual, + ) + + if metrics.get("ready"): + print("\n=== MT5 Report ===") + for k in ("net_profit", "profit_factor", "total_trades", "sharpe", "max_drawdown", "elapsed_sec"): + if k in metrics and metrics[k] is not None: + print(f" {k}: {metrics[k]}") + print(f" report: {metrics.get('report')}") + print("\nOpen the HTML report in MT5 → Results tab for per-deal review (逐单复盘).") + else: + print("Report not found — check MT5 Tester journal for errors.") + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/SimpleEMA/run_optimize.py b/lab/EAs/SimpleEMA/run_optimize.py new file mode 100644 index 0000000..20396ab --- /dev/null +++ b/lab/EAs/SimpleEMA/run_optimize.py @@ -0,0 +1,489 @@ +""" +Fast vectorized optimizer for SimpleEMA v2 (crossover + pullback entries). + +Target: net_profit > 0, trades >= min_trades (default 2000). + +Usage: + python run_optimize.py --trials 5000 --min-trades 2000 +""" + +from __future__ import annotations + +import argparse +import json +import random +import sys +from dataclasses import asdict, dataclass +from datetime import datetime +from pathlib import Path + +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) +sys.path.insert(0, str(Path(__file__).resolve().parent)) + +from cluster_audit.backtest_core import CostModel, load_bars, resolve_symbol # noqa: E402 +from indicator_utils import calculate_adx, calculate_atr, calculate_ema # noqa: E402 +from run_backtest import pip_size # noqa: E402 + +TF_MAP = {"M15": mt5.TIMEFRAME_M15, "M5": mt5.TIMEFRAME_M5} + + +@dataclass +class Params: + fast_ema: int = 8 + slow_ema: int = 34 + entry_mode: int = 1 + min_ema_gap_pips: float = 0.0 + cooldown_bars: int = 4 + use_atr_stops: bool = True + atr_period: int = 14 + atr_sl_mult: float = 2.0 + atr_tp_mult: float = 4.0 + stop_loss_pips: float = 20.0 + take_profit_pips: float = 40.0 + exit_on_cross: bool = False + max_bars_in_trade: int = 96 + use_trailing: bool = True + trail_atr_mult: float = 1.2 + use_adx_filter: bool = True + adx_period: int = 14 + adx_min: float = 18.0 + use_htf_filter: bool = True + htf_ema_period: int = 100 + session_start: int = 7 + session_end: int = 21 + max_spread_pips: float = 8.0 + lot_size: float = 0.10 + initial_balance: float = 10_000.0 + + +@dataclass +class SimResult: + net_profit: float + total_trades: int + win_rate: float + profit_factor: float + max_drawdown_pct: float + sharpe: float + trades: list[dict] + + +@dataclass +class MarketData: + df: pd.DataFrame + close: np.ndarray + open_: np.ndarray + high: np.ndarray + low: np.ndarray + hours: np.ndarray + fast: dict[int, np.ndarray] + slow: dict[int, np.ndarray] + atr: dict[int, np.ndarray] + adx: dict[int, np.ndarray] + htf: dict[int, np.ndarray] + + +def load_market(df: pd.DataFrame) -> MarketData: + close_s = df["close"] + h4 = close_s.resample("4h").last().dropna() + fast = {p: calculate_ema(close_s, p).to_numpy() for p in range(5, 13)} + slow = {p: calculate_ema(close_s, p).to_numpy() for p in range(20, 61, 2)} + atr = {p: calculate_atr(df, p).to_numpy() for p in (10, 14, 20)} + adx = {p: calculate_adx(df, p).to_numpy() for p in (10, 14, 20)} + htf = {p: calculate_ema(h4, p).reindex(df.index, method="ffill").to_numpy() for p in (50, 100, 200)} + return MarketData( + df=df, + close=close_s.to_numpy(), + open_=df["open"].to_numpy(), + high=df["high"].to_numpy(), + low=df["low"].to_numpy(), + hours=df.index.hour.to_numpy(), + fast=fast, + slow=slow, + atr=atr, + adx=adx, + htf=htf, + ) + + +def make_signals(md: MarketData, p: Params, pip: float) -> dict[str, np.ndarray]: + fast, slow = md.fast[p.fast_ema], md.slow[p.slow_ema] + close, high, low = md.close, md.high, md.low + f1, f2 = np.roll(fast, 1), np.roll(fast, 2) + s1, s2 = np.roll(slow, 1), np.roll(slow, 2) + c1, h1, l1 = np.roll(close, 1), np.roll(high, 1), np.roll(low, 1) + + bull_cross = (f2 <= s2) & (f1 > s1) + bear_cross = (f2 >= s2) & (f1 < s1) + bull_pb = (f1 > s1) & (l1 <= f1) & (c1 > f1) + bear_pb = (f1 < s1) & (h1 >= f1) & (c1 < f1) + + if p.entry_mode == 0: + buy_raw, sell_raw = bull_cross, bear_cross + elif p.entry_mode == 2: + buy_raw, sell_raw = bull_pb, bear_pb + else: + buy_raw = bull_cross | bull_pb + sell_raw = bear_cross | bear_pb + + gap_ok = np.abs(f1 - s1) / pip >= p.min_ema_gap_pips + sess = (md.hours >= p.session_start) & (md.hours < p.session_end) + adx_arr = md.adx[p.adx_period] + adx_ok = adx_arr >= p.adx_min if p.use_adx_filter else np.ones(len(close), dtype=bool) + htf_arr = md.htf[p.htf_ema_period] + if p.use_htf_filter: + htf_bull = close > htf_arr + htf_bear = close < htf_arr + else: + htf_bull = htf_bear = np.ones(len(close), dtype=bool) + + buy_sig = buy_raw & gap_ok & sess & adx_ok & htf_bull + sell_sig = sell_raw & gap_ok & sess & adx_ok & htf_bear + buy_sig[: p.slow_ema + 3] = False + sell_sig[: p.slow_ema + 3] = False + + return { + "open": md.open_, + "high": md.high, + "low": md.low, + "close": md.close, + "atr": md.atr[p.atr_period], + "bull_cross": bull_cross, + "bear_cross": bear_cross, + "buy_sig": buy_sig, + "sell_sig": sell_sig, + } + + +def simulate(md: MarketData, symbol: str, p: Params, costs: CostModel, pip: float, point: float) -> SimResult: + sig = make_signals(md, p, pip) + opn, high, low, close = sig["open"], sig["high"], sig["low"], sig["close"] + atr = sig["atr"] + bull_cross, bear_cross = sig["bull_cross"], sig["bear_cross"] + buy_sig, sell_sig = sig["buy_sig"], sig["sell_sig"] + + spread_px = costs.spread_points * point + slip = costs.slippage_points * point + half = spread_px / 2.0 + slip + commission = costs.commission_per_lot * p.lot_size * 2.0 + + balance = p.initial_balance + equity = [balance] + trades: list[dict] = [] + side = None + entry = 0.0 + entry_i = 0 + trail = 0.0 + last_entry_i = -10_000 + + def calc_profit(entry_px: float, exit_px: float, s: str) -> float: + ot = mt5.ORDER_TYPE_BUY if s == "BUY" else mt5.ORDER_TYPE_SELL + pr = mt5.order_calc_profit(ot, symbol, p.lot_size, entry_px, exit_px) + return float(pr) - commission if pr is not None else -commission + + warm = max(p.slow_ema + 5, 30) + for i in range(warm, len(md.df)): + atr1 = float(atr[i - 1]) if not np.isnan(atr[i - 1]) else 0.0 + mid = float(opn[i]) + + if side is not None: + bars_held = i - entry_i + closed = False + if p.max_bars_in_trade > 0 and bars_held >= p.max_bars_in_trade: + exit_px = mid - half if side == "BUY" else mid + half + profit = calc_profit(entry, exit_px, side) + balance += profit + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": profit, "exit_reason": "max_bars"}) + closed = True + elif p.exit_on_cross and side == "BUY" and bear_cross[i]: + profit = calc_profit(entry, mid - half, side) + balance += profit + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": profit, "exit_reason": "bear_cross"}) + closed = True + elif p.exit_on_cross and side == "SELL" and bull_cross[i]: + profit = calc_profit(entry, mid + half, side) + balance += profit + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": profit, "exit_reason": "bull_cross"}) + closed = True + elif side == "BUY": + if p.use_atr_stops and atr1 > 0: + sl_px = entry - atr1 * p.atr_sl_mult + tp_px = entry + atr1 * p.atr_tp_mult + else: + sl_px = entry - p.stop_loss_pips * pip + tp_px = entry + p.take_profit_pips * pip + eff_sl = sl_px + if p.use_trailing and atr1 > 0: + td = atr1 * p.trail_atr_mult + candidate = high[i] - td + if candidate > entry: + trail = max(trail, candidate) if trail > 0 else candidate + eff_sl = max(sl_px, trail) + if low[i] <= eff_sl: + reason = "trail" if trail > sl_px and eff_sl > entry else "sl" + profit = calc_profit(entry, eff_sl - half, side) + balance += profit + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": profit, "exit_reason": reason}) + closed = True + elif high[i] >= tp_px: + profit = calc_profit(entry, tp_px - half, side) + balance += profit + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": profit, "exit_reason": "tp"}) + closed = True + elif side == "SELL": + if p.use_atr_stops and atr1 > 0: + sl_px = entry + atr1 * p.atr_sl_mult + tp_px = entry - atr1 * p.atr_tp_mult + else: + sl_px = entry + p.stop_loss_pips * pip + tp_px = entry - p.take_profit_pips * pip + eff_sl = sl_px + if p.use_trailing and atr1 > 0: + td = atr1 * p.trail_atr_mult + candidate = low[i] + td + if candidate < entry: + trail = min(trail, candidate) if trail > 0 else candidate + eff_sl = min(sl_px, trail) + if high[i] >= eff_sl: + reason = "trail" if trail > 0 and trail < sl_px and eff_sl < entry else "sl" + profit = calc_profit(entry, eff_sl + half, side) + balance += profit + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": profit, "exit_reason": reason}) + closed = True + elif low[i] <= tp_px: + profit = calc_profit(entry, tp_px + half, side) + balance += profit + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": profit, "exit_reason": "tp"}) + closed = True + if closed: + side = None + + if side is None: + spread_pips = spread_px / pip if pip > 0 else 0 + if not (p.max_spread_pips > 0 and spread_pips > p.max_spread_pips) and i - last_entry_i >= p.cooldown_bars: + if buy_sig[i]: + side, entry, entry_i, trail, last_entry_i = "BUY", mid + half, i, 0.0, i + elif sell_sig[i]: + side, entry, entry_i, trail, last_entry_i = "SELL", mid - half, i, 0.0, i + + mark = balance + if side == "BUY": + mark += calc_profit(entry, float(close[i - 1]), side) + commission + elif side == "SELL": + mark += calc_profit(entry, float(close[i - 1]), side) + commission + equity.append(mark) + + if side is not None: + profit = calc_profit(entry, float(close[-1]), side) + balance += profit + trades.append({"side": side, "open_i": entry_i, "close_i": len(md.df) - 1, "profit": profit, "exit_reason": "eod"}) + + eq = pd.Series(equity[: len(md.df)], index=md.df.index[: len(equity)]) + net = balance - p.initial_balance + wins = [t["profit"] for t in trades if t["profit"] > 0] + losses = [t["profit"] for t in trades if t["profit"] <= 0] + gp = sum(wins) if wins else 0.0 + gl = abs(sum(losses)) if losses else 0.0 + pf = gp / gl if gl > 0 else 0.0 + wr = 100.0 * len(wins) / len(trades) if trades else 0.0 + dd = abs(float(((eq - eq.cummax()) / eq.cummax() * 100).min())) if len(eq) else 0.0 + rets = eq.pct_change().dropna() + sharpe = float(rets.mean() / rets.std() * np.sqrt(252 * 24 * 4)) if len(rets) > 1 and rets.std() > 0 else 0.0 + return SimResult(net, len(trades), wr, pf, dd, sharpe, trades) + + +def sample(rng: random.Random, high_freq: bool = False) -> Params: + fast = rng.randint(5, 12) + if high_freq: + return Params( + fast_ema=fast, + slow_ema=rng.choice([p for p in range(max(fast + 6, 20), 41, 2)]), + entry_mode=rng.choice([1, 1, 1, 2]), + min_ema_gap_pips=round(rng.uniform(0, 1.5), 1), + cooldown_bars=rng.choice([2, 2, 3, 4]), + atr_period=rng.choice([10, 14, 20]), + atr_sl_mult=round(rng.uniform(1.8, 3.2), 2), + atr_tp_mult=round(rng.uniform(4.0, 9.0), 2), + exit_on_cross=False, + max_bars_in_trade=rng.choice([64, 96, 128]), + use_trailing=False, + use_adx_filter=rng.choice([False, False, True]), + adx_min=round(rng.uniform(15, 28), 1), + use_htf_filter=rng.choice([False, False, True]), + htf_ema_period=rng.choice([50, 100, 200]), + session_start=rng.choice([0, 6, 7]), + session_end=rng.choice([21, 22, 24]), + max_spread_pips=rng.choice([8, 10]), + ) + return Params( + fast_ema=fast, + slow_ema=rng.choice([p for p in range(max(fast + 8, 20), 61, 2)]), + entry_mode=rng.choice([0, 1, 1, 1, 2]), + min_ema_gap_pips=round(rng.uniform(0, 3), 1), + cooldown_bars=rng.choice([2, 4, 6, 8]), + atr_period=rng.choice([10, 14, 20]), + atr_sl_mult=round(rng.uniform(1.5, 3.5), 2), + atr_tp_mult=round(rng.uniform(3.0, 8.0), 2), + exit_on_cross=rng.choice([False, False, True]), + max_bars_in_trade=rng.choice([48, 64, 96, 128, 0]), + use_trailing=rng.choice([True, True, False]), + trail_atr_mult=round(rng.uniform(0.8, 2.0), 2), + use_adx_filter=rng.choice([True, False]), + adx_min=round(rng.uniform(15, 30), 1), + use_htf_filter=rng.choice([True, False]), + htf_ema_period=rng.choice([50, 100, 200]), + session_start=rng.choice([6, 7, 8]), + session_end=rng.choice([20, 21, 22]), + max_spread_pips=rng.choice([6, 8, 10]), + ) + + +def write_set(p: Params, path: Path) -> None: + path.write_text( + "\n".join( + [ + "; SimpleEMA v2 optimized", + "Timeframe=16388", + f"FastEmaPeriod={p.fast_ema}", + f"SlowEmaPeriod={p.slow_ema}", + f"EntryMode={p.entry_mode}", + f"MinEmaGapPips={p.min_ema_gap_pips}", + f"CooldownBars={p.cooldown_bars}", + f"UseAtrStops={'true' if p.use_atr_stops else 'false'}", + f"AtrPeriod={p.atr_period}", + f"AtrSlMult={p.atr_sl_mult}", + f"AtrTpMult={p.atr_tp_mult}", + f"ExitOnCross={'true' if p.exit_on_cross else 'false'}", + f"MaxBarsInTrade={p.max_bars_in_trade}", + f"UseTrailing={'true' if p.use_trailing else 'false'}", + f"TrailAtrMult={p.trail_atr_mult}", + f"UseAdxFilter={'true' if p.use_adx_filter else 'false'}", + f"AdxPeriod={p.adx_period}", + f"AdxMin={p.adx_min}", + f"UseHtfFilter={'true' if p.use_htf_filter else 'false'}", + f"HtfEmaPeriod={p.htf_ema_period}", + f"SessionStartHour={p.session_start}", + f"SessionEndHour={p.session_end}", + f"MaxSpreadPips={p.max_spread_pips}", + f"LotSize={p.lot_size}", + ] + ) + + "\n", + encoding="utf-8", + ) + + +def main() -> None: + ap = argparse.ArgumentParser() + ap.add_argument("--symbol", default="EURUSD") + ap.add_argument("--timeframe", default="M15") + ap.add_argument("--start", default="2020-01-01") + ap.add_argument("--end", default="2026-01-01") + ap.add_argument("--trials", type=int, default=5000) + ap.add_argument("--min-trades", type=int, default=2000) + ap.add_argument("--max-trades", type=int, default=3500) + ap.add_argument("--profile", choices=["profit", "high-freq", "balanced"], default="balanced", + help="profit=max net; high-freq=2k-3.5k trades; balanced=net>0 with most trades") + ap.add_argument("--seed", type=int, default=42) + args = ap.parse_args() + out = Path(__file__).resolve().parent + rng = random.Random(args.seed) + + if not mt5.initialize(): + raise SystemExit("MT5 init failed") + try: + sym = resolve_symbol(args.symbol) + df = load_bars(sym, TF_MAP[args.timeframe], datetime.fromisoformat(args.start), datetime.fromisoformat(args.end)) + costs = CostModel.for_symbol(sym) + pip = pip_size(sym) + point = float(mt5.symbol_info(sym).point) + print(f"{sym} {args.timeframe} bars={len(df)} trials={args.trials} min_trades={args.min_trades}", flush=True) + print("Precomputing market data ...", flush=True) + md = load_market(df) + + best: SimResult | None = None + best_p: Params | None = None + target: tuple[SimResult, Params] | None = None + rows = [] + + hi_freq: tuple[SimResult, Params] | None = None + balanced: tuple[SimResult, Params] | None = None + + for n in range(1, args.trials + 1): + p = sample(rng, high_freq=(args.profile == "high-freq")) + r = simulate(md, sym, p, costs, pip, point) + rows.append({"trial": n, "net": r.net_profit, "trades": r.total_trades, "pf": r.profit_factor, **asdict(p)}) + + if best is None or r.net_profit > best.net_profit: + best, best_p = r, p + + if args.min_trades <= r.total_trades <= args.max_trades and r.net_profit > 0 and r.profit_factor >= 1.05: + if target is None or r.net_profit > target[0].net_profit: + target = (r, p) + print( + f" HIT {n}: net=${r.net_profit:,.0f} trades={r.total_trades} " + f"PF={r.profit_factor:.2f} WR={r.win_rate:.1f}%", + flush=True, + ) + + if args.min_trades <= r.total_trades <= args.max_trades: + if hi_freq is None or r.net_profit > hi_freq[0].net_profit: + hi_freq = (r, p) + + if r.net_profit > 0 and r.profit_factor >= 1.02: + if balanced is None or r.total_trades > balanced[0].total_trades or ( + r.total_trades == balanced[0].total_trades and r.net_profit > balanced[0].net_profit + ): + balanced = (r, p) + + if n % 1000 == 0: + b = balanced or hi_freq or (best, best_p) + print( + f" ... {n}/{args.trials} profile={args.profile} " + f"best_net=${best.net_profit:,.0f} t={best.total_trades} hit={'yes' if target else 'no'}", + flush=True, + ) + + pd.DataFrame(rows).sort_values("net", ascending=False).to_csv(out / "optimize_trials.csv", index=False) + + if args.profile == "profit": + final_r, final_p = target if target else (best, best_p) + elif args.profile == "high-freq": + final_r, final_p = hi_freq if hi_freq else (best, best_p) + else: + final_r, final_p = balanced if balanced else (target if target else (best, best_p)) + assert final_r and final_p + + with open(out / "best_params.json", "w", encoding="utf-8") as f: + json.dump({"target_met": target is not None, "params": asdict(final_p), "metrics": asdict(final_r)}, f, indent=2) + write_set(final_p, out / "SimpleEMA_optimized.set") + + (out / "best_run").mkdir(exist_ok=True) + trows = [ + { + "side": t["side"], + "open_time": df.index[t["open_i"]], + "close_time": df.index[t["close_i"]], + "profit": t["profit"], + "exit_reason": t["exit_reason"], + } + for t in final_r.trades + ] + pd.DataFrame(trows).to_csv(out / "best_run" / "trades.csv", index=False) + + print( + f"\n{'TARGET MET' if target else 'BEST EFFORT'}: net=${final_r.net_profit:,.2f} " + f"trades={final_r.total_trades} PF={final_r.profit_factor:.2f} WR={final_r.win_rate:.1f}% " + f"MaxDD={final_r.max_drawdown_pct:.1f}%", + flush=True, + ) + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/SimpleEMA/run_optimize_portfolio.py b/lab/EAs/SimpleEMA/run_optimize_portfolio.py new file mode 100644 index 0000000..3b2c1ca --- /dev/null +++ b/lab/EAs/SimpleEMA/run_optimize_portfolio.py @@ -0,0 +1,292 @@ +#!/usr/bin/env python3 +"""Per-symbol v5 optimization + portfolio assembly.""" + +from __future__ import annotations + +import argparse +import json +import random +import sys +from dataclasses import asdict, replace +from datetime import datetime +from pathlib import Path + +import MetaTrader5 as mt5 +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +LAB = Path(__file__).resolve().parent +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) +sys.path.insert(0, str(LAB)) + +from cluster_audit.backtest_core import CostModel, load_bars, resolve_symbol # noqa: E402 +from run_backtest import pip_size # noqa: E402 +from run_optimize_v5 import seed_params # noqa: E402 +from run_portfolio_v5 import load_portfolio_config, portfolio_metrics # noqa: E402 +from strategy_v5 import V5Params, load_v5_cache, market_from_cache, sample_v5, simulate_v5 # noqa: E402 + +OUT_PATH = LAB / "portfolio_params.json" +TRIALS_DIR = LAB / "portfolio_opt_trials" + + +def is_metal(name: str) -> bool: + base = name.upper().split(".")[0] + return base.startswith("XAU") or base.startswith("XAG") + + +def is_index(name: str) -> bool: + base = name.upper().split(".")[0] + return base in {"US500", "NAS100", "US30", "GER40", "UK100", "JPN225", "SPX500", "USTEC"} + + +def is_crypto(name: str) -> bool: + base = name.upper().split(".")[0] + return base.startswith("BTC") or base.startswith("ETH") + + +def high_freq_seeds() -> list[V5Params]: + return [ + V5Params(fast_ema=8, slow_ema=30, cross_cooldown=2, pullback_cooldown=2, use_pullback=True, trend_leg_bars=48), + V5Params(fast_ema=9, slow_ema=34, cross_cooldown=3, pullback_cooldown=2, use_pullback=True, htf_ema_period=100), + V5Params(fast_ema=10, slow_ema=36, cross_cooldown=2, use_pullback=False, htf_ema_period=100), + V5Params(fast_ema=11, slow_ema=40, cross_cooldown=4, use_pullback=True, pullback_touch=1, pullback_adx_min=20), + ] + + +def all_seeds() -> list[V5Params]: + return seed_params() + high_freq_seeds() + + +def sample_for_symbol(rng: random.Random, name: str) -> V5Params: + p = sample_v5(rng) + p.cross_cooldown = rng.choice([2, 3, 4, 5, 6]) + p.pullback_cooldown = rng.choice([2, 3, 4]) + if is_metal(name): + p.max_spread_pips = rng.choice([30.0, 35.0, 40.0, 50.0, 60.0]) + p.min_ema_gap_pips = round(rng.uniform(1.0, 4.0), 1) + p.atr_sl_mult = round(rng.uniform(2.0, 3.5), 2) + p.atr_tp_mult = round(rng.uniform(3.5, 6.5), 2) + elif is_index(name) or is_crypto(name): + p.max_spread_pips = rng.choice([15.0, 20.0, 30.0, 40.0, 50.0]) + p.min_ema_gap_pips = round(rng.uniform(2.0, 8.0), 1) + p.atr_sl_mult = round(rng.uniform(2.0, 3.2), 2) + p.atr_tp_mult = round(rng.uniform(3.0, 5.5), 2) + elif "JPY" in name.upper(): + p.max_spread_pips = rng.choice([8.0, 10.0, 12.0, 15.0, 18.0]) + return p + + +def score_result(r, min_trades: int) -> float: + if r.total_trades < min_trades: + return -1e6 + r.net_profit + if r.net_profit > 0 and r.profit_factor >= 1.05: + return r.net_profit + r.total_trades * 4.0 + if r.net_profit > 0 and r.profit_factor >= 1.0: + return r.net_profit + r.total_trades * 2.0 + return r.net_profit + r.total_trades * 0.1 + + +def pick_best(trials: list[tuple], min_trades: int) -> tuple | None: + if not trials: + return None + profitable = [t for t in trials if t[0].net_profit > 0 and t[0].profit_factor >= 1.03 and t[0].total_trades >= min_trades] + if profitable: + return max(profitable, key=lambda t: score_result(t[0], min_trades)) + positive = [t for t in trials if t[0].net_profit > 0 and t[0].total_trades >= min_trades] + if positive: + return max(positive, key=lambda t: score_result(t[0], min_trades)) + return max(trials, key=lambda t: score_result(t[0], min_trades)) + + +def optimize_symbol( + req: str, + spread_cap: float, + lot: float, + start: datetime, + end: datetime, + trials: int, + min_trades: int, + seed: int, +) -> dict: + sym = resolve_symbol(req) + df = load_bars(sym, mt5.TIMEFRAME_M15, start, end) + cache = load_v5_cache(df) + pip = pip_size(sym) + point = float(mt5.symbol_info(sym).point) + costs = CostModel.for_symbol(sym) + rng = random.Random(hash(sym) ^ seed) + + results: list[tuple] = [] + seeds = all_seeds() + for p0 in seeds: + p = replace(p0, lot_size=lot, max_spread_pips=spread_cap) + r = simulate_v5(market_from_cache(cache, p), sym, p, costs, pip, point) + results.append((r, p)) + + for _ in range(max(0, trials - len(seeds))): + p = replace(sample_for_symbol(rng, sym), lot_size=lot, max_spread_pips=spread_cap) + r = simulate_v5(market_from_cache(cache, p), sym, p, costs, pip, point) + results.append((r, p)) + + best_r, best_p = pick_best(results, min_trades) + assert best_r and best_p + + enabled = best_r.net_profit > 0 and best_r.profit_factor >= 1.0 and best_r.total_trades >= min_trades + row = { + "requested": req, + "symbol": sym, + "enabled": True, + "max_spread_pips": spread_cap, + "params": asdict(best_p), + "metrics": {k: v for k, v in asdict(best_r).items() if k != "trades"}, + "score": round(score_result(best_r, min_trades), 2), + } + + TRIALS_DIR.mkdir(exist_ok=True) + pd.DataFrame( + [{"net": r.net_profit, "trades": r.total_trades, "pf": r.profit_factor, **asdict(p)} for r, p in results] + ).to_csv(TRIALS_DIR / f"{sym.replace('.', '_')}.csv", index=False) + + flag = "PY" if enabled else "py-" + print( + f" [{flag}] {sym}: net=${best_r.net_profit:,.0f} t={best_r.total_trades} " + f"PF={best_r.profit_factor:.2f} WR={best_r.win_rate:.1f}%" + ) + return row + + +def run_portfolio_backtest(members: list[dict], start: datetime, end: datetime, initial: float) -> tuple[pd.DataFrame, list[dict], dict]: + all_trades: list[dict] = [] + sym_rows: list[dict] = [] + + for m in members: + if not m.get("enabled", True): + continue + sym = m["symbol"] + p = V5Params(**m["params"]) + df = load_bars(sym, mt5.TIMEFRAME_M15, start, end) + pip = pip_size(sym) + point = float(mt5.symbol_info(sym).point) + costs = CostModel.for_symbol(sym) + r = simulate_v5(market_from_cache(load_v5_cache(df), p), sym, p, costs, pip, point) + for t in r.trades: + all_trades.append( + { + "symbol": sym, + "side": t["side"], + "open_time": df.index[t["open_i"]], + "close_time": df.index[t["close_i"]], + "profit": round(t["profit"], 2), + "exit_reason": t["exit_reason"], + } + ) + sym_rows.append( + { + "symbol": sym, + "enabled": True, + "trades": r.total_trades, + "net_profit": round(r.net_profit, 2), + "profit_factor": round(r.profit_factor, 2), + "win_rate": round(r.win_rate, 1), + } + ) + + tdf = pd.DataFrame(all_trades).sort_values(["close_time", "symbol"]) if all_trades else pd.DataFrame() + metrics = portfolio_metrics(tdf, initial) + metrics["target_met_2000_trades"] = metrics["total_trades"] >= 2000 + metrics["target_met_profit"] = metrics["net_profit"] > 0 + return tdf, sym_rows, metrics + + +def main() -> None: + ap = argparse.ArgumentParser() + ap.add_argument("--config", type=Path, default=LAB / "portfolio_symbols.json") + ap.add_argument("--trials", type=int, default=350, help="trials per symbol") + ap.add_argument("--min-trades", type=int, default=15) + ap.add_argument("--min-pf", type=float, default=1.0) + ap.add_argument("--seed", type=int, default=42) + ap.add_argument("--skip-opt", action="store_true", help="only rebuild portfolio from existing portfolio_params.json") + args = ap.parse_args() + + cfg = load_portfolio_config(args.config) + start = datetime.fromisoformat(cfg["period"][0]) + end = datetime.fromisoformat(cfg["period"][1]) + lot = cfg.get("lot_per_symbol", 0.05) + initial = cfg.get("initial_balance", 10000.0) + + if not mt5.initialize(): + raise SystemExit("MT5 init failed") + try: + members: list[dict] = [] + if not args.skip_opt: + print(f"Per-symbol optimize: {len(cfg['symbols'])} symbols x {args.trials} trials") + for entry in cfg["symbols"]: + try: + members.append( + optimize_symbol( + entry["name"], + entry.get("max_spread_pips", 8.0), + lot, + start, + end, + args.trials, + args.min_trades, + args.seed, + ) + ) + except Exception as exc: # noqa: BLE001 + print(f" FAIL {entry['name']}: {exc}") + members.append( + { + "requested": entry["name"], + "symbol": entry["name"], + "enabled": False, + "error": str(exc), + } + ) + else: + existing = json.loads(OUT_PATH.read_text(encoding="utf-8")) + members = existing["members"] + + enabled_n = sum(1 for m in members if m.get("enabled")) + print(f"\nPortfolio assembly: {enabled_n}/{len(members)} symbols enabled") + + tdf, sym_rows, metrics = run_portfolio_backtest(members, start, end, initial) + + out = LAB / "best_run" + out.mkdir(exist_ok=True) + tdf.to_csv(out / "portfolio_trades.csv", index=False) + pd.DataFrame(sym_rows).to_csv(out / "portfolio_by_symbol.csv", index=False) + + payload = { + "version": 5, + "mode": "per_symbol_optimized", + "optimized_at": datetime.now().isoformat(timespec="seconds"), + "config": cfg, + "selection": { + "min_trades": args.min_trades, + "min_pf": args.min_pf, + "trials_per_symbol": args.trials, + }, + "members": members, + "portfolio_metrics": metrics, + "per_symbol_live": sym_rows, + } + OUT_PATH.write_text(json.dumps(payload, indent=2), encoding="utf-8") + (LAB / "portfolio_report.json").write_text( + json.dumps({"metrics": metrics, "per_symbol": sym_rows, "enabled_count": enabled_n}, indent=2), + encoding="utf-8", + ) + + print( + f"\nPORTFOLIO: net=${metrics['net_profit']:,.0f} trades={metrics['total_trades']} " + f"PF={metrics['profit_factor']:.2f} WR={metrics['win_rate']:.1f}% DD={metrics['max_drawdown_pct']:.1f}% " + f"2000+={'YES' if metrics['target_met_2000_trades'] else 'no'} profit={'YES' if metrics['target_met_profit'] else 'no'}" + ) + print(f"Saved {OUT_PATH}") + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/SimpleEMA/run_optimize_v3.py b/lab/EAs/SimpleEMA/run_optimize_v3.py new file mode 100644 index 0000000..d9da8b0 --- /dev/null +++ b/lab/EAs/SimpleEMA/run_optimize_v3.py @@ -0,0 +1,109 @@ +#!/usr/bin/env python3 +"""Optimize SimpleEMA v3 (trend pullback).""" + +from __future__ import annotations + +import argparse +import json +import random +import sys +from dataclasses import asdict +from datetime import datetime +from pathlib import Path + +import MetaTrader5 as mt5 +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +LAB = Path(__file__).resolve().parent +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) +sys.path.insert(0, str(LAB)) + +from cluster_audit.backtest_core import CostModel, load_bars, resolve_symbol # noqa: E402 +from run_backtest import pip_size # noqa: E402 +from strategy_v3 import V3Params, load_v3_cache, market_from_cache, sample_v3, simulate_v3, write_v3_set # noqa: E402 + + +def main() -> None: + ap = argparse.ArgumentParser() + ap.add_argument("--trials", type=int, default=4000) + ap.add_argument("--min-trades", type=int, default=400) + ap.add_argument("--max-trades", type=int, default=2500) + ap.add_argument("--seed", type=int, default=42) + args = ap.parse_args() + out = LAB + rng = random.Random(args.seed) + + if not mt5.initialize(): + raise SystemExit("MT5 init failed") + try: + sym = resolve_symbol("EURUSD") + df = load_bars(sym, mt5.TIMEFRAME_M15, datetime(2020, 1, 1), datetime(2026, 1, 1)) + costs = CostModel.for_symbol(sym) + pip = pip_size(sym) + point = float(mt5.symbol_info(sym).point) + print(f"v3 optimize {sym} M15 trials={args.trials} trades={args.min_trades}-{args.max_trades}") + cache = load_v3_cache(df) + + best_profit = None + best_balanced = None + target = None + + for n in range(1, args.trials + 1): + p = sample_v3(rng) + md = market_from_cache(cache, p) + r = simulate_v3(md, sym, p, costs, pip, point) + + if args.min_trades <= r.total_trades <= args.max_trades and r.net_profit > 0 and r.profit_factor >= 1.05: + if target is None or r.net_profit > target[0].net_profit: + target = (r, p) + print(f" HIT {n}: net=${r.net_profit:,.0f} t={r.total_trades} PF={r.profit_factor:.2f}") + + if r.net_profit > 0: + if best_balanced is None or r.total_trades > best_balanced[0].total_trades or ( + r.total_trades == best_balanced[0].total_trades and r.net_profit > best_balanced[0].net_profit + ): + best_balanced = (r, p) + + if best_profit is None or r.net_profit > best_profit[0].net_profit: + best_profit = (r, p) + + if n % 1000 == 0: + b = best_balanced or best_profit + print(f" ... {n}/{args.trials} best_bal t={b[0].total_trades} net=${b[0].net_profit:,.0f} hit={'yes' if target else 'no'}") + + final_r, final_p = target or best_balanced or best_profit + assert final_r and final_p + + write_v3_set(final_p, out / "SimpleEMA_optimized.set") + payload = { + "version": 3, + "target_met": target is not None, + "params": asdict(final_p), + "metrics": asdict(final_r), + } + (out / "best_params.json").write_text(json.dumps(payload, indent=2), encoding="utf-8") + + (out / "best_run").mkdir(exist_ok=True) + rows = [ + { + "side": t["side"], + "open_time": df.index[t["open_i"]], + "close_time": df.index[t["close_i"]], + "profit": t["profit"], + "exit_reason": t["exit_reason"], + } + for t in final_r.trades + ] + pd.DataFrame(rows).to_csv(out / "best_run" / "trades.csv", index=False) + + print( + f"\n{'TARGET' if target else 'BEST'}: net=${final_r.net_profit:,.2f} " + f"trades={final_r.total_trades} PF={final_r.profit_factor:.2f} WR={final_r.win_rate:.1f}% DD={final_r.max_drawdown_pct:.1f}%" + ) + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/SimpleEMA/run_optimize_v4.py b/lab/EAs/SimpleEMA/run_optimize_v4.py new file mode 100644 index 0000000..770f2f8 --- /dev/null +++ b/lab/EAs/SimpleEMA/run_optimize_v4.py @@ -0,0 +1,109 @@ +#!/usr/bin/env python3 +"""Optimize SimpleEMA v4 (regime dual entry + partial TP).""" + +from __future__ import annotations + +import argparse +import json +import random +import sys +from dataclasses import asdict +from datetime import datetime +from pathlib import Path + +import MetaTrader5 as mt5 +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +LAB = Path(__file__).resolve().parent +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) +sys.path.insert(0, str(LAB)) + +from cluster_audit.backtest_core import CostModel, load_bars, resolve_symbol # noqa: E402 +from run_backtest import pip_size # noqa: E402 +from strategy_v4 import V4Params, load_v4_cache, market_from_cache, sample_v4, simulate_v4, write_v4_set # noqa: E402 + + +def main() -> None: + ap = argparse.ArgumentParser() + ap.add_argument("--trials", type=int, default=3000) + ap.add_argument("--min-trades", type=int, default=400) + ap.add_argument("--max-trades", type=int, default=2500) + ap.add_argument("--seed", type=int, default=42) + args = ap.parse_args() + out = LAB + rng = random.Random(args.seed) + + if not mt5.initialize(): + raise SystemExit("MT5 init failed") + try: + sym = resolve_symbol("EURUSD") + df = load_bars(sym, mt5.TIMEFRAME_M15, datetime(2020, 1, 1), datetime(2026, 1, 1)) + costs = CostModel.for_symbol(sym) + pip = pip_size(sym) + point = float(mt5.symbol_info(sym).point) + print(f"v4 optimize {sym} M15 trials={args.trials} trades={args.min_trades}-{args.max_trades}") + cache = load_v4_cache(df) + + best_profit = None + best_balanced = None + target = None + + for n in range(1, args.trials + 1): + p = sample_v4(rng) + md = market_from_cache(cache, p) + r = simulate_v4(md, sym, p, costs, pip, point) + + if args.min_trades <= r.total_trades <= args.max_trades and r.net_profit > 0 and r.profit_factor >= 1.05: + if target is None or r.net_profit > target[0].net_profit: + target = (r, p) + print(f" HIT {n}: net=${r.net_profit:,.0f} t={r.total_trades} PF={r.profit_factor:.2f}") + + if r.net_profit > 0: + if best_balanced is None or r.total_trades > best_balanced[0].total_trades or ( + r.total_trades == best_balanced[0].total_trades and r.net_profit > best_balanced[0].net_profit + ): + best_balanced = (r, p) + + if best_profit is None or r.net_profit > best_profit[0].net_profit: + best_profit = (r, p) + + if n % 500 == 0: + b = best_balanced or best_profit + print(f" ... {n}/{args.trials} best_bal t={b[0].total_trades} net=${b[0].net_profit:,.0f} hit={'yes' if target else 'no'}") + + final_r, final_p = target or best_balanced or best_profit + assert final_r and final_p + + write_v4_set(final_p, out / "SimpleEMA_optimized.set") + payload = { + "version": 4, + "target_met": target is not None, + "params": asdict(final_p), + "metrics": {k: v for k, v in asdict(final_r).items() if k != "trades"}, + } + (out / "best_params.json").write_text(json.dumps(payload, indent=2), encoding="utf-8") + + (out / "best_run").mkdir(exist_ok=True) + rows = [ + { + "side": t["side"], + "open_time": df.index[t["open_i"]], + "close_time": df.index[t["close_i"]], + "profit": t["profit"], + "exit_reason": t["exit_reason"], + } + for t in final_r.trades + ] + pd.DataFrame(rows).to_csv(out / "best_run" / "trades.csv", index=False) + + print( + f"\n{'TARGET' if target else 'BEST'}: net=${final_r.net_profit:,.2f} " + f"trades={final_r.total_trades} PF={final_r.profit_factor:.2f} WR={final_r.win_rate:.1f}% DD={final_r.max_drawdown_pct:.1f}%" + ) + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/SimpleEMA/run_optimize_v5.py b/lab/EAs/SimpleEMA/run_optimize_v5.py new file mode 100644 index 0000000..f1dd60d --- /dev/null +++ b/lab/EAs/SimpleEMA/run_optimize_v5.py @@ -0,0 +1,133 @@ +#!/usr/bin/env python3 +"""Optimize SimpleEMA v5 (trend-leg cross + pullback).""" + +from __future__ import annotations + +import argparse +import json +import random +import sys +from dataclasses import asdict +from datetime import datetime +from pathlib import Path + +import MetaTrader5 as mt5 +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +LAB = Path(__file__).resolve().parent +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) +sys.path.insert(0, str(LAB)) + +from cluster_audit.backtest_core import CostModel, load_bars, resolve_symbol # noqa: E402 +from run_backtest import pip_size # noqa: E402 +from strategy_v5 import V5Params, load_v5_cache, market_from_cache, sample_v5, simulate_v5, write_v5_set # noqa: E402 + + +def seed_params() -> list[V5Params]: + """Known-good cross preset + selective pullback variants.""" + return [ + V5Params(fast_ema=10, slow_ema=36, cross_cooldown=2, htf_ema_period=100, use_pullback=False), + V5Params(fast_ema=10, slow_ema=46, cross_cooldown=8, htf_ema_period=200, use_pullback=False), + V5Params(fast_ema=7, slow_ema=46, cross_cooldown=5, use_pullback=False), + V5Params( + fast_ema=10, slow_ema=46, cross_cooldown=8, htf_ema_period=200, + use_pullback=True, pullback_touch=1, pullback_adx_min=22, + pullback_min_gap_pips=2.0, trend_leg_bars=56, pullback_cooldown=6, + max_pullbacks_per_leg=1, + ), + ] + + +def main() -> None: + ap = argparse.ArgumentParser() + ap.add_argument("--trials", type=int, default=2000) + ap.add_argument("--min-trades", type=int, default=150) + ap.add_argument("--max-trades", type=int, default=2500) + ap.add_argument("--seed", type=int, default=42) + args = ap.parse_args() + out = LAB + rng = random.Random(args.seed) + + if not mt5.initialize(): + raise SystemExit("MT5 init failed") + try: + sym = resolve_symbol("EURUSD") + df = load_bars(sym, mt5.TIMEFRAME_M15, datetime(2020, 1, 1), datetime(2026, 1, 1)) + costs = CostModel.for_symbol(sym) + pip = pip_size(sym) + point = float(mt5.symbol_info(sym).point) + print(f"v5 optimize {sym} M15 trials={args.trials} trades={args.min_trades}-{args.max_trades}") + cache = load_v5_cache(df) + + best_profit = None + best_balanced = None + target = None + trial_rows = [] + + def eval_params(p: V5Params, n: int) -> None: + nonlocal best_profit, best_balanced, target + md = market_from_cache(cache, p) + r = simulate_v5(md, sym, p, costs, pip, point) + trial_rows.append({"trial": n, "net": r.net_profit, "trades": r.total_trades, "pf": r.profit_factor, **asdict(p)}) + + if args.min_trades <= r.total_trades <= args.max_trades and r.net_profit > 0 and r.profit_factor >= 1.05: + if target is None or r.net_profit > target[0].net_profit: + target = (r, p) + print(f" HIT {n}: net=${r.net_profit:,.0f} t={r.total_trades} PF={r.profit_factor:.2f}") + + if r.net_profit > 0: + if best_balanced is None or r.total_trades > best_balanced[0].total_trades or ( + r.total_trades == best_balanced[0].total_trades and r.net_profit > best_balanced[0].net_profit + ): + best_balanced = (r, p) + + if best_profit is None or r.net_profit > best_profit[0].net_profit: + best_profit = (r, p) + + for i, p in enumerate(seed_params(), 1): + eval_params(p, i) + print(f" seed {i}: net=${trial_rows[-1]['net']:,.0f} t={trial_rows[-1]['trades']} PF={trial_rows[-1]['pf']:.2f}") + + for n in range(len(seed_params()) + 1, args.trials + 1): + eval_params(sample_v5(rng), n) + if n % 500 == 0: + b = best_balanced or best_profit + print(f" ... {n}/{args.trials} best_bal t={b[0].total_trades} net=${b[0].net_profit:,.0f} hit={'yes' if target else 'no'}") + + final_r, final_p = target or best_balanced or best_profit + assert final_r and final_p + + write_v5_set(final_p, out / "SimpleEMA_optimized.set") + payload = { + "version": 5, + "target_met": target is not None, + "params": asdict(final_p), + "metrics": {k: v for k, v in asdict(final_r).items() if k != "trades"}, + } + (out / "best_params.json").write_text(json.dumps(payload, indent=2), encoding="utf-8") + pd.DataFrame(trial_rows).to_csv(out / "optimize_trials.csv", index=False) + + (out / "best_run").mkdir(exist_ok=True) + rows = [ + { + "side": t["side"], + "open_time": df.index[t["open_i"]], + "close_time": df.index[t["close_i"]], + "profit": t["profit"], + "exit_reason": t["exit_reason"], + } + for t in final_r.trades + ] + pd.DataFrame(rows).to_csv(out / "best_run" / "trades.csv", index=False) + + print( + f"\n{'TARGET' if target else 'BEST'}: net=${final_r.net_profit:,.2f} " + f"trades={final_r.total_trades} PF={final_r.profit_factor:.2f} WR={final_r.win_rate:.1f}% DD={final_r.max_drawdown_pct:.1f}%" + ) + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/SimpleEMA/run_portfolio_v5.py b/lab/EAs/SimpleEMA/run_portfolio_v5.py new file mode 100644 index 0000000..b661e00 --- /dev/null +++ b/lab/EAs/SimpleEMA/run_portfolio_v5.py @@ -0,0 +1,178 @@ +#!/usr/bin/env python3 +"""SimpleEMA v5 — 20-symbol portfolio backtest (shared params, per-symbol spread).""" + +from __future__ import annotations + +import argparse +import json +import sys +from dataclasses import asdict, replace +from datetime import datetime +from pathlib import Path + +import MetaTrader5 as mt5 +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +LAB = Path(__file__).resolve().parent +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) +sys.path.insert(0, str(LAB)) + +from cluster_audit.backtest_core import CostModel, load_bars, resolve_symbol # noqa: E402 +from run_backtest import pip_size # noqa: E402 +from strategy_v5 import V5Params, load_v5_cache, market_from_cache, simulate_v5 # noqa: E402 + + +def load_portfolio_config(path: Path) -> dict: + return json.loads(path.read_text(encoding="utf-8")) + + +def load_best_params(path: Path) -> V5Params: + data = json.loads(path.read_text(encoding="utf-8")) + return V5Params(**data["params"]) + + +def portfolio_metrics(trades: pd.DataFrame, initial: float) -> dict: + if trades.empty: + return {"net_profit": 0, "total_trades": 0, "profit_factor": 0, "win_rate": 0, "max_drawdown_pct": 0} + wins = trades[trades["profit"] > 0]["profit"] + losses = trades[trades["profit"] <= 0]["profit"] + gp = float(wins.sum()) if len(wins) else 0.0 + gl = abs(float(losses.sum())) if len(losses) else 0.0 + eq = initial + trades.sort_values("close_time")["profit"].cumsum() + dd = abs(float(((eq - eq.cummax()) / eq.cummax() * 100).min())) if len(eq) else 0.0 + return { + "net_profit": round(float(trades["profit"].sum()), 2), + "total_trades": len(trades), + "profit_factor": round(gp / gl, 2) if gl > 0 else 0.0, + "win_rate": round(100.0 * len(wins) / len(trades), 1), + "max_drawdown_pct": round(dd, 2), + "profitable_symbols": int((trades.groupby("symbol")["profit"].sum() > 0).sum()), + "symbol_count": trades["symbol"].nunique(), + } + + +def load_params_map(args) -> tuple[dict[str, V5Params], float, list[dict]]: + """Return symbol->params, lot, member metadata (may be empty).""" + if args.params and args.params.name == "portfolio_params.json" and args.params.exists(): + data = json.loads(args.params.read_text(encoding="utf-8")) + lot = data.get("config", {}).get("lot_per_symbol", 0.05) + mapping: dict[str, V5Params] = {} + members = [] + for m in data.get("members", []): + if not m.get("enabled", True) or "params" not in m: + continue + mapping[m["symbol"]] = V5Params(**m["params"]) + members.append(m) + return mapping, lot, members + + base = load_best_params(args.params) + lot = base.lot_size + return {}, lot, [] + + +def main() -> None: + ap = argparse.ArgumentParser() + ap.add_argument("--config", type=Path, default=LAB / "portfolio_symbols.json") + ap.add_argument("--params", type=Path, default=LAB / "portfolio_params.json") + ap.add_argument("--shared-params", type=Path, default=LAB / "best_params.json", help="fallback single-param set") + args = ap.parse_args() + + cfg = load_portfolio_config(args.config) + per_sym, lot, members = load_params_map(args) + if not per_sym: + base = load_best_params(args.shared_params) + lot = cfg.get("lot_per_symbol", base.lot_size) + else: + lot = cfg.get("lot_per_symbol", lot) + initial = cfg.get("initial_balance", 10000) + + start = datetime.fromisoformat(cfg["period"][0]) + end = datetime.fromisoformat(cfg["period"][1]) + + if not mt5.initialize(): + raise SystemExit("MT5 init failed") + try: + sym_rows = [] + all_trades: list[dict] = [] + skipped: list[str] = [] + + for entry in cfg["symbols"]: + req = entry["name"] + try: + sym = resolve_symbol(req) + if per_sym and sym not in per_sym: + if members: + print(f" SKIP {sym}: disabled in portfolio_params") + continue + spread_cap = entry.get("max_spread_pips", 8.0) + if per_sym and sym in per_sym: + p = per_sym[sym] + else: + base = load_best_params(args.shared_params) + p = replace(base, lot_size=lot, max_spread_pips=spread_cap) + df = load_bars(sym, mt5.TIMEFRAME_M15, start, end) + pip = pip_size(sym) + point = float(mt5.symbol_info(sym).point) + costs = CostModel.for_symbol(sym) + r = simulate_v5(market_from_cache(load_v5_cache(df), p), sym, p, costs, pip, point) + for t in r.trades: + all_trades.append( + { + "symbol": sym, + "side": t["side"], + "open_time": df.index[t["open_i"]], + "close_time": df.index[t["close_i"]], + "profit": round(t["profit"], 2), + "exit_reason": t["exit_reason"], + } + ) + sym_rows.append( + { + "symbol": sym, + "trades": r.total_trades, + "net_profit": round(r.net_profit, 2), + "profit_factor": round(r.profit_factor, 2), + "win_rate": round(r.win_rate, 1), + } + ) + print(f" {sym}: t={r.total_trades} net=${r.net_profit:,.0f} PF={r.profit_factor:.2f}") + except Exception as exc: # noqa: BLE001 + skipped.append(f"{req}: {exc}") + print(f" SKIP {req}: {exc}") + + tdf = pd.DataFrame(all_trades).sort_values(["close_time", "symbol"]) if all_trades else pd.DataFrame() + metrics = portfolio_metrics(tdf, initial) + metrics["target_met_2000_trades"] = metrics["total_trades"] >= 2000 + metrics["target_met_profit"] = metrics["net_profit"] > 0 + + out = LAB / "best_run" + out.mkdir(exist_ok=True) + tdf.to_csv(out / "portfolio_trades.csv", index=False) + pd.DataFrame(sym_rows).to_csv(out / "portfolio_by_symbol.csv", index=False) + + mode = "per_symbol" if per_sym else "shared" + payload = { + "version": 5, + "mode": mode, + "symbol_count": len(sym_rows), + "skipped": skipped, + "metrics": metrics, + "per_symbol": sym_rows, + } + (LAB / "portfolio_report.json").write_text(json.dumps(payload, indent=2), encoding="utf-8") + + print( + f"\nPORTFOLIO ({len(sym_rows)} symbols): " + f"net=${metrics['net_profit']:,.0f} trades={metrics['total_trades']} " + f"PF={metrics['profit_factor']:.2f} WR={metrics['win_rate']:.1f}% " + f"DD={metrics['max_drawdown_pct']:.1f}% " + f"2000+={'YES' if metrics['target_met_2000_trades'] else 'no'} " + f"profit={'YES' if metrics['target_met_profit'] else 'no'}" + ) + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/SimpleEMA/strategy_v3.py b/lab/EAs/SimpleEMA/strategy_v3.py new file mode 100644 index 0000000..4ac2a9a --- /dev/null +++ b/lab/EAs/SimpleEMA/strategy_v3.py @@ -0,0 +1,409 @@ +""" +SimpleEMA v3 — trend pullback engine (shared by main.mq5 mirror + optimizer). + +Logic: + 1. H4 EMA defines bias (long above / short below) + 2. M15 slow EMA slope confirms trend + 3. Entry on fast-EMA pullback + optional bullish/bearish bar + 4. ADX + DI filter; ATR band skips chop / spikes + 5. Breakeven after BE trigger; optional ATR trail after BE +""" + +from __future__ import annotations + +from dataclasses import dataclass + +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +from indicator_utils import calculate_adx, calculate_atr, calculate_dmi, calculate_ema # noqa: E402 + + +@dataclass +class V3Params: + fast_ema: int = 8 + slow_ema: int = 34 + min_ema_gap_pips: float = 1.0 + cooldown_bars: int = 4 + atr_period: int = 14 + atr_sl_mult: float = 2.0 + atr_tp_mult: float = 4.5 + max_bars_in_trade: int = 72 + htf_ema_period: int = 100 + adx_period: int = 14 + adx_min: float = 18.0 + adx_max: float = 42.0 + min_atr_pips: float = 4.0 + max_atr_pips: float = 22.0 + slope_lookback: int = 5 + require_bullish_bar: bool = True + use_di_filter: bool = True + use_breakeven: bool = True + be_trigger_atr: float = 1.0 + be_offset_pips: float = 1.0 + use_trail_after_be: bool = True + trail_atr_mult: float = 1.2 + session_start: int = 7 + session_end: int = 21 + max_spread_pips: float = 8.0 + lot_size: float = 0.10 + initial_balance: float = 10_000.0 + + +@dataclass +class V3Market: + df: pd.DataFrame + open_: np.ndarray + high: np.ndarray + low: np.ndarray + close: np.ndarray + hours: np.ndarray + fast: np.ndarray + slow: np.ndarray + atr: np.ndarray + adx: np.ndarray + plus_di: np.ndarray + minus_di: np.ndarray + htf: np.ndarray + + +@dataclass +class V3Result: + net_profit: float + total_trades: int + win_rate: float + profit_factor: float + max_drawdown_pct: float + sharpe: float + trades: list[dict] + + +@dataclass +class V3Cache: + df: pd.DataFrame + open_: np.ndarray + high: np.ndarray + low: np.ndarray + close: np.ndarray + hours: np.ndarray + fast: dict[int, np.ndarray] + slow: dict[int, np.ndarray] + atr: dict[int, np.ndarray] + adx: dict[int, np.ndarray] + plus_di: dict[int, np.ndarray] + minus_di: dict[int, np.ndarray] + htf: dict[int, np.ndarray] + + +def load_v3_cache(df: pd.DataFrame) -> V3Cache: + close_s = df["close"] + h4 = close_s.resample("4h").last().dropna() + return V3Cache( + df=df, + open_=df["open"].to_numpy(), + high=df["high"].to_numpy(), + low=df["low"].to_numpy(), + close=close_s.to_numpy(), + hours=df.index.hour.to_numpy(), + fast={p: calculate_ema(close_s, p).to_numpy() for p in range(6, 13)}, + slow={p: calculate_ema(close_s, p).to_numpy() for p in range(26, 53, 2)}, + atr={p: calculate_atr(df, p).to_numpy() for p in (10, 14, 20)}, + adx={p: calculate_adx(df, p).to_numpy() for p in (10, 14, 20)}, + plus_di={p: calculate_dmi(df, p)["plus_di"].to_numpy() for p in (10, 14, 20)}, + minus_di={p: calculate_dmi(df, p)["minus_di"].to_numpy() for p in (10, 14, 20)}, + htf={p: calculate_ema(h4, p).reindex(df.index, method="ffill").to_numpy() for p in (50, 100, 200)}, + ) + + +def market_from_cache(cache: V3Cache, p: V3Params) -> V3Market: + return V3Market( + df=cache.df, + open_=cache.open_, + high=cache.high, + low=cache.low, + close=cache.close, + hours=cache.hours, + fast=cache.fast[p.fast_ema], + slow=cache.slow[p.slow_ema], + atr=cache.atr[p.atr_period], + adx=cache.adx[p.adx_period], + plus_di=cache.plus_di[p.adx_period], + minus_di=cache.minus_di[p.adx_period], + htf=cache.htf[p.htf_ema_period], + ) + + +def load_v3_market(df: pd.DataFrame, p: V3Params) -> V3Market: + close_s = df["close"] + h4 = close_s.resample("4h").last().dropna() + dmi = calculate_dmi(df, p.adx_period) + return V3Market( + df=df, + open_=df["open"].to_numpy(), + high=df["high"].to_numpy(), + low=df["low"].to_numpy(), + close=close_s.to_numpy(), + hours=df.index.hour.to_numpy(), + fast=calculate_ema(close_s, p.fast_ema).to_numpy(), + slow=calculate_ema(close_s, p.slow_ema).to_numpy(), + atr=calculate_atr(df, p.atr_period).to_numpy(), + adx=calculate_adx(df, p.adx_period).to_numpy(), + plus_di=dmi["plus_di"].to_numpy(), + minus_di=dmi["minus_di"].to_numpy(), + htf=calculate_ema(h4, p.htf_ema_period).reindex(df.index, method="ffill").to_numpy(), + ) + + +def _session_ok(hours: np.ndarray, start: int, end: int) -> np.ndarray: + if start <= 0 and end >= 24: + return np.ones(len(hours), dtype=bool) + if start < end: + return (hours >= start) & (hours < end) + return (hours >= start) | (hours < end) + + +def build_v3_signals(md: V3Market, p: V3Params, pip: float) -> tuple[np.ndarray, np.ndarray]: + n = len(md.close) + lb = max(p.slope_lookback, 1) + slow_slope_up = md.slow > np.roll(md.slow, lb) + slow_slope_dn = md.slow < np.roll(md.slow, lb) + + c1 = np.roll(md.close, 1) + o1 = np.roll(md.open_, 1) + h1 = np.roll(md.high, 1) + l1 = np.roll(md.low, 1) + f1 = np.roll(md.fast, 1) + s1 = np.roll(md.slow, 1) + htf1 = np.roll(md.htf, 1) + adx1 = np.roll(md.adx, 1) + pdi1 = np.roll(md.plus_di, 1) + mdi1 = np.roll(md.minus_di, 1) + atr1 = np.roll(md.atr, 1) + + atr_pips = atr1 / pip + gap_ok = np.abs(f1 - s1) / pip >= p.min_ema_gap_pips + atr_ok = (atr_pips >= p.min_atr_pips) & (atr_pips <= p.max_atr_pips) + adx_ok = (adx1 >= p.adx_min) & (adx1 <= p.adx_max) + sess = _session_ok(np.roll(md.hours, 1), p.session_start, p.session_end) + + bull_bar = (c1 > o1) if p.require_bullish_bar else np.ones(n, dtype=bool) + bear_bar = (c1 < o1) if p.require_bullish_bar else np.ones(n, dtype=bool) + + di_long = (pdi1 > mdi1) if p.use_di_filter else np.ones(n, dtype=bool) + di_short = (mdi1 > pdi1) if p.use_di_filter else np.ones(n, dtype=bool) + + long_trend = (f1 > s1) & (c1 > htf1) & slow_slope_up & (c1 > s1) + short_trend = (f1 < s1) & (c1 < htf1) & slow_slope_dn & (c1 < s1) + + pullback_long = long_trend & (l1 <= f1) & (c1 > f1) & bull_bar + pullback_short = short_trend & (h1 >= f1) & (c1 < f1) & bear_bar + + buy = pullback_long & gap_ok & atr_ok & adx_ok & sess & di_long + sell = pullback_short & gap_ok & atr_ok & adx_ok & sess & di_short + warm = max(p.slow_ema + lb + 3, 30) + buy[:warm] = False + sell[:warm] = False + return buy, sell + + +def simulate_v3(md: V3Market, symbol: str, p: V3Params, costs, pip: float, point: float) -> V3Result: + buy_sig, sell_sig = build_v3_signals(md, p, pip) + opn, high, low, close, atr = md.open_, md.high, md.low, md.close, md.atr + + spread_px = costs.spread_points * point + slip = costs.slippage_points * point + half = spread_px / 2.0 + slip + commission = costs.commission_per_lot * p.lot_size * 2.0 + be_off = p.be_offset_pips * pip + + balance = p.initial_balance + equity = [balance] + trades: list[dict] = [] + side = None + entry = 0.0 + entry_i = 0 + sl_px = 0.0 + tp_px = 0.0 + trail = 0.0 + be_active = False + last_entry_i = -10_000 + + def calc_profit(entry_px: float, exit_px: float, s: str) -> float: + ot = mt5.ORDER_TYPE_BUY if s == "BUY" else mt5.ORDER_TYPE_SELL + pr = mt5.order_calc_profit(ot, symbol, p.lot_size, entry_px, exit_px) + return float(pr) - commission if pr is not None else -commission + + warm = max(p.slow_ema + p.slope_lookback + 5, 30) + for i in range(warm, len(md.df)): + atr1 = float(atr[i - 1]) if not np.isnan(atr[i - 1]) else 0.0 + mid = float(opn[i]) + + if side is not None: + closed = False + bars_held = i - entry_i + + if p.max_bars_in_trade > 0 and bars_held >= p.max_bars_in_trade: + xp = mid - half if side == "BUY" else mid + half + pr = calc_profit(entry, xp, side) + balance += pr + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": pr, "exit_reason": "max_bars"}) + closed = True + + if not closed and side == "BUY": + if p.use_breakeven and not be_active and atr1 > 0 and high[i] >= entry + atr1 * p.be_trigger_atr: + be_active = True + sl_px = max(sl_px, entry + be_off) + if be_active and p.use_trail_after_be and atr1 > 0: + cand = high[i] - atr1 * p.trail_atr_mult + if cand > entry: + trail = max(trail, cand) if trail > 0 else cand + sl_px = max(sl_px, trail) + eff_sl = sl_px + if low[i] <= eff_sl: + reason = "trail" if trail > 0 and eff_sl > entry + be_off else ("be" if be_active and eff_sl >= entry else "sl") + pr = calc_profit(entry, eff_sl - half, side) + balance += pr + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": pr, "exit_reason": reason}) + closed = True + elif high[i] >= tp_px: + pr = calc_profit(entry, tp_px - half, side) + balance += pr + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": pr, "exit_reason": "tp"}) + closed = True + + elif not closed and side == "SELL": + if p.use_breakeven and not be_active and atr1 > 0 and low[i] <= entry - atr1 * p.be_trigger_atr: + be_active = True + sl_px = min(sl_px, entry - be_off) + if be_active and p.use_trail_after_be and atr1 > 0: + cand = low[i] + atr1 * p.trail_atr_mult + if cand < entry: + trail = min(trail, cand) if trail > 0 else cand + sl_px = min(sl_px, trail) + eff_sl = sl_px + if high[i] >= eff_sl: + reason = "trail" if trail > 0 and eff_sl < entry - be_off else ("be" if be_active and eff_sl <= entry else "sl") + pr = calc_profit(entry, eff_sl + half, side) + balance += pr + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": pr, "exit_reason": reason}) + closed = True + elif low[i] <= tp_px: + pr = calc_profit(entry, tp_px + half, side) + balance += pr + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": pr, "exit_reason": "tp"}) + closed = True + + if closed: + side = None + be_active = False + trail = 0.0 + + if side is None: + spread_pips = spread_px / pip if pip > 0 else 0 + if (p.max_spread_pips <= 0 or spread_pips <= p.max_spread_pips) and i - last_entry_i >= p.cooldown_bars: + if buy_sig[i] and atr1 > 0: + side = "BUY" + entry = mid + half + entry_i = i + sl_px = entry - atr1 * p.atr_sl_mult + tp_px = entry + atr1 * p.atr_tp_mult + be_active = False + trail = 0.0 + last_entry_i = i + elif sell_sig[i] and atr1 > 0: + side = "SELL" + entry = mid - half + entry_i = i + sl_px = entry + atr1 * p.atr_sl_mult + tp_px = entry - atr1 * p.atr_tp_mult + be_active = False + trail = 0.0 + last_entry_i = i + + mark = balance + if side == "BUY": + mark += calc_profit(entry, float(close[i - 1]), side) + commission + elif side == "SELL": + mark += calc_profit(entry, float(close[i - 1]), side) + commission + equity.append(mark) + + if side is not None: + pr = calc_profit(entry, float(close[-1]), side) + balance += pr + trades.append({"side": side, "open_i": entry_i, "close_i": len(md.df) - 1, "profit": pr, "exit_reason": "eod"}) + + eq = pd.Series(equity[: len(md.df)], index=md.df.index[: len(equity)]) + net = balance - p.initial_balance + wins = [t["profit"] for t in trades if t["profit"] > 0] + losses = [t["profit"] for t in trades if t["profit"] <= 0] + gp = sum(wins) if wins else 0.0 + gl = abs(sum(losses)) if losses else 0.0 + pf = gp / gl if gl > 0 else 0.0 + wr = 100.0 * len(wins) / len(trades) if trades else 0.0 + dd = abs(float(((eq - eq.cummax()) / eq.cummax() * 100).min())) if len(eq) else 0.0 + rets = eq.pct_change().dropna() + sharpe = float(rets.mean() / rets.std() * np.sqrt(252 * 24 * 4)) if len(rets) > 1 and rets.std() > 0 else 0.0 + return V3Result(net, len(trades), wr, pf, dd, sharpe, trades) + + +def sample_v3(rng) -> V3Params: + return V3Params( + fast_ema=rng.randint(6, 12), + slow_ema=rng.choice([p for p in range(28, 51, 2)]), + min_ema_gap_pips=round(rng.uniform(0.5, 3.0), 1), + cooldown_bars=rng.choice([3, 4, 5, 6]), + atr_period=rng.choice([10, 14, 20]), + atr_sl_mult=round(rng.uniform(1.6, 2.8), 2), + atr_tp_mult=round(rng.uniform(3.5, 6.5), 2), + max_bars_in_trade=rng.choice([48, 72, 96]), + htf_ema_period=rng.choice([50, 100, 200]), + adx_min=round(rng.uniform(16, 24), 1), + adx_max=round(rng.uniform(35, 50), 1), + min_atr_pips=round(rng.uniform(2.0, 6.0), 1), + max_atr_pips=round(rng.uniform(15, 30), 1), + slope_lookback=rng.choice([4, 5, 6, 8]), + require_bullish_bar=rng.choice([True, True, False]), + use_di_filter=rng.choice([True, True, False]), + use_breakeven=rng.choice([True, True, False]), + be_trigger_atr=round(rng.uniform(0.8, 1.5), 2), + use_trail_after_be=rng.choice([True, False]), + trail_atr_mult=round(rng.uniform(1.0, 1.8), 2), + session_start=rng.choice([6, 7, 8]), + session_end=rng.choice([20, 21, 22]), + max_spread_pips=rng.choice([6, 8]), + ) + + +def write_v3_set(p: V3Params, path) -> None: + lines = [ + "; SimpleEMA v3 — trend pullback", + "Timeframe=16388", + f"FastEmaPeriod={p.fast_ema}", + f"SlowEmaPeriod={p.slow_ema}", + f"MinEmaGapPips={p.min_ema_gap_pips}", + f"CooldownBars={p.cooldown_bars}", + f"AtrPeriod={p.atr_period}", + f"AtrSlMult={p.atr_sl_mult}", + f"AtrTpMult={p.atr_tp_mult}", + f"MaxBarsInTrade={p.max_bars_in_trade}", + f"HtfEmaPeriod={p.htf_ema_period}", + f"AdxPeriod={p.adx_period}", + f"AdxMin={p.adx_min}", + f"AdxMax={p.adx_max}", + f"MinAtrPips={p.min_atr_pips}", + f"MaxAtrPips={p.max_atr_pips}", + f"SlopeLookback={p.slope_lookback}", + f"RequireBullishBar={'true' if p.require_bullish_bar else 'false'}", + f"UseDiFilter={'true' if p.use_di_filter else 'false'}", + f"UseBreakeven={'true' if p.use_breakeven else 'false'}", + f"BeTriggerAtr={p.be_trigger_atr}", + f"BeOffsetPips={p.be_offset_pips}", + f"UseTrailAfterBe={'true' if p.use_trail_after_be else 'false'}", + f"TrailAtrMult={p.trail_atr_mult}", + f"SessionStartHour={p.session_start}", + f"SessionEndHour={p.session_end}", + f"MaxSpreadPips={p.max_spread_pips}", + f"LotSize={p.lot_size}", + ] + path.write_text("\n".join(lines) + "\n", encoding="utf-8") diff --git a/lab/EAs/SimpleEMA/strategy_v4.py b/lab/EAs/SimpleEMA/strategy_v4.py new file mode 100644 index 0000000..7b45dbb --- /dev/null +++ b/lab/EAs/SimpleEMA/strategy_v4.py @@ -0,0 +1,477 @@ +""" +SimpleEMA v4 — regime-aware dual entry + partial take-profit. + +Changes vs v3: + 1. Chop filter: skip when fast/slow crossed too often recently + 2. Trend quality: ADX rising + EMA gap scaled by ATR (not fixed pips) + 3. Dual entry: EMA cross OR deep pullback in established trend + 4. Partial TP: scale out at TP1, trail remainder toward TP2 +""" + +from __future__ import annotations + +from dataclasses import dataclass + +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +from indicator_utils import calculate_adx, calculate_atr, calculate_dmi, calculate_ema # noqa: E402 + + +@dataclass +class V4Params: + fast_ema: int = 10 + slow_ema: int = 42 + entry_mode: int = 1 # 0=cross, 1=cross+pullback, 2=pullback + min_ema_gap_atr: float = 0.12 + chop_lookback: int = 24 + max_chop_crosses: int = 1 + pullback_swing_bars: int = 12 + pullback_min_depth_atr: float = 0.35 + adx_rising_bars: int = 3 + cooldown_bars: int = 5 + atr_period: int = 14 + atr_sl_mult: float = 2.2 + tp1_atr_mult: float = 1.8 + tp1_close_pct: float = 0.5 + tp2_atr_mult: float = 5.5 + max_bars_in_trade: int = 80 + htf_ema_period: int = 100 + adx_period: int = 14 + adx_min: float = 20.0 + adx_max: float = 45.0 + min_atr_pips: float = 3.0 + max_atr_pips: float = 24.0 + slope_lookback: int = 5 + require_bullish_bar: bool = True + use_di_filter: bool = True + use_partial_tp: bool = True + use_trail_after_tp1: bool = True + trail_atr_mult: float = 1.4 + be_offset_pips: float = 1.0 + session_start: int = 8 + session_end: int = 21 + max_spread_pips: float = 8.0 + lot_size: float = 0.10 + initial_balance: float = 10_000.0 + + +@dataclass +class V4Market: + df: pd.DataFrame + open_: np.ndarray + high: np.ndarray + low: np.ndarray + close: np.ndarray + hours: np.ndarray + fast: np.ndarray + slow: np.ndarray + atr: np.ndarray + adx: np.ndarray + plus_di: np.ndarray + minus_di: np.ndarray + htf: np.ndarray + + +@dataclass +class V4Result: + net_profit: float + total_trades: int + win_rate: float + profit_factor: float + max_drawdown_pct: float + sharpe: float + trades: list[dict] + + +@dataclass +class V4Cache: + df: pd.DataFrame + open_: np.ndarray + high: np.ndarray + low: np.ndarray + close: np.ndarray + hours: np.ndarray + fast: dict[int, np.ndarray] + slow: dict[int, np.ndarray] + atr: dict[int, np.ndarray] + adx: dict[int, np.ndarray] + plus_di: dict[int, np.ndarray] + minus_di: dict[int, np.ndarray] + htf: dict[int, np.ndarray] + + +def load_v4_cache(df: pd.DataFrame) -> V4Cache: + close_s = df["close"] + h4 = close_s.resample("4h").last().dropna() + return V4Cache( + df=df, + open_=df["open"].to_numpy(), + high=df["high"].to_numpy(), + low=df["low"].to_numpy(), + close=close_s.to_numpy(), + hours=df.index.hour.to_numpy(), + fast={p: calculate_ema(close_s, p).to_numpy() for p in range(6, 14)}, + slow={p: calculate_ema(close_s, p).to_numpy() for p in range(28, 55, 2)}, + atr={p: calculate_atr(df, p).to_numpy() for p in (10, 14, 20)}, + adx={p: calculate_adx(df, p).to_numpy() for p in (10, 14, 20)}, + plus_di={p: calculate_dmi(df, p)["plus_di"].to_numpy() for p in (10, 14, 20)}, + minus_di={p: calculate_dmi(df, p)["minus_di"].to_numpy() for p in (10, 14, 20)}, + htf={p: calculate_ema(h4, p).reindex(df.index, method="ffill").to_numpy() for p in (50, 100, 200)}, + ) + + +def market_from_cache(cache: V4Cache, p: V4Params) -> V4Market: + return V4Market( + df=cache.df, + open_=cache.open_, + high=cache.high, + low=cache.low, + close=cache.close, + hours=cache.hours, + fast=cache.fast[p.fast_ema], + slow=cache.slow[p.slow_ema], + atr=cache.atr[p.atr_period], + adx=cache.adx[p.adx_period], + plus_di=cache.plus_di[p.adx_period], + minus_di=cache.minus_di[p.adx_period], + htf=cache.htf[p.htf_ema_period], + ) + + +def _session_ok(hours: np.ndarray, start: int, end: int) -> np.ndarray: + if start <= 0 and end >= 24: + return np.ones(len(hours), dtype=bool) + if start < end: + return (hours >= start) & (hours < end) + return (hours >= start) | (hours < end) + + +def _rolling_cross_count(fast: np.ndarray, slow: np.ndarray, lookback: int) -> np.ndarray: + n = len(fast) + f1, f2 = np.roll(fast, 1), np.roll(fast, 2) + s1, s2 = np.roll(slow, 1), np.roll(slow, 2) + cross = ((f2 <= s2) & (f1 > s1)) | ((f2 >= s2) & (f1 < s1)) + out = np.zeros(n, dtype=np.int32) + for i in range(lookback, n): + out[i] = int(np.sum(cross[i - lookback + 1 : i + 1])) + return out + + +def _rolling_max(arr: np.ndarray, window: int) -> np.ndarray: + s = pd.Series(arr) + return s.shift(1).rolling(window, min_periods=1).max().to_numpy() + + +def _rolling_min(arr: np.ndarray, window: int) -> np.ndarray: + s = pd.Series(arr) + return s.shift(1).rolling(window, min_periods=1).min().to_numpy() + + +def build_v4_signals(md: V4Market, p: V4Params, pip: float) -> tuple[np.ndarray, np.ndarray]: + n = len(md.close) + lb = max(p.slope_lookback, 1) + rb = max(p.adx_rising_bars, 1) + + f1 = np.roll(md.fast, 1) + s1 = np.roll(md.slow, 1) + f2 = np.roll(md.fast, 2) + s2 = np.roll(md.slow, 2) + c1 = np.roll(md.close, 1) + o1 = np.roll(md.open_, 1) + h1 = np.roll(md.high, 1) + l1 = np.roll(md.low, 1) + htf1 = np.roll(md.htf, 1) + adx1 = np.roll(md.adx, 1) + adx_rb = np.roll(md.adx, 1 + rb) + pdi1 = np.roll(md.plus_di, 1) + mdi1 = np.roll(md.minus_di, 1) + atr1 = np.roll(md.atr, 1) + slow_old = np.roll(md.slow, lb) + + atr_pips = atr1 / pip + atr_ok = (atr_pips >= p.min_atr_pips) & (atr_pips <= p.max_atr_pips) + adx_ok = (adx1 >= p.adx_min) & (adx1 <= p.adx_max) + adx_rising = adx1 > adx_rb + sess = _session_ok(np.roll(md.hours, 1), p.session_start, p.session_end) + chop = _rolling_cross_count(md.fast, md.slow, p.chop_lookback) + chop_ok = chop <= p.max_chop_crosses + + gap_ok = np.abs(f1 - s1) >= atr1 * p.min_ema_gap_atr + bull_bar = (c1 > o1) if p.require_bullish_bar else np.ones(n, dtype=bool) + bear_bar = (c1 < o1) if p.require_bullish_bar else np.ones(n, dtype=bool) + di_long = (pdi1 > mdi1) if p.use_di_filter else np.ones(n, dtype=bool) + di_short = (mdi1 > pdi1) if p.use_di_filter else np.ones(n, dtype=bool) + + slow_up = s1 > slow_old + slow_dn = s1 < slow_old + long_regime = (f1 > s1) & (c1 > htf1) & (c1 > s1) & slow_up + short_regime = (f1 < s1) & (c1 < htf1) & (c1 < s1) & slow_dn + regime = long_regime | short_regime + + base = regime & gap_ok & atr_ok & adx_ok & adx_rising & sess & chop_ok + + bull_cross = (f2 <= s2) & (f1 > s1) + bear_cross = (f2 >= s2) & (f1 < s1) + + swing_hi = _rolling_max(md.high, p.pullback_swing_bars) + swing_lo = _rolling_min(md.low, p.pullback_swing_bars) + depth_long = (swing_hi - l1) >= atr1 * p.pullback_min_depth_atr + depth_short = (h1 - swing_lo) >= atr1 * p.pullback_min_depth_atr + + pb_long = long_regime & (l1 <= f1) & (c1 > f1) & depth_long & bull_bar + pb_short = short_regime & (h1 >= f1) & (c1 < f1) & depth_short & bear_bar + + if p.entry_mode == 0: + buy_raw, sell_raw = bull_cross, bear_cross + elif p.entry_mode == 2: + buy_raw, sell_raw = pb_long, pb_short + else: + buy_raw = bull_cross | pb_long + sell_raw = bear_cross | pb_short + + buy = buy_raw & base & di_long + sell = sell_raw & base & di_short + + warm = max(p.slow_ema + lb + p.chop_lookback + 5, 40) + buy[:warm] = False + sell[:warm] = False + return buy, sell + + +def simulate_v4(md: V4Market, symbol: str, p: V4Params, costs, pip: float, point: float) -> V4Result: + buy_sig, sell_sig = build_v4_signals(md, p, pip) + opn, high, low, close, atr = md.open_, md.high, md.low, md.close, md.atr + + spread_px = costs.spread_points * point + slip = costs.slippage_points * point + half = spread_px / 2.0 + slip + commission = costs.commission_per_lot * p.lot_size * 2.0 + be_off = p.be_offset_pips * pip + + balance = p.initial_balance + equity = [balance] + trades: list[dict] = [] + side = None + entry = 0.0 + entry_i = 0 + sl_px = 0.0 + tp_px = 0.0 + tp1_px = 0.0 + lot_frac = 1.0 + tp1_done = False + trail = 0.0 + last_entry_i = -10_000 + + def calc_profit(entry_px: float, exit_px: float, s: str, frac: float = 1.0) -> float: + lot = p.lot_size * frac + ot = mt5.ORDER_TYPE_BUY if s == "BUY" else mt5.ORDER_TYPE_SELL + pr = mt5.order_calc_profit(ot, symbol, lot, entry_px, exit_px) + comm = costs.commission_per_lot * lot * 2.0 + return float(pr) - comm if pr is not None else -comm + + warm = max(p.slow_ema + p.chop_lookback + 10, 40) + for i in range(warm, len(md.df)): + atr1 = float(atr[i - 1]) if not np.isnan(atr[i - 1]) else 0.0 + mid = float(opn[i]) + + if side is not None: + closed = False + bars_held = i - entry_i + + if p.max_bars_in_trade > 0 and bars_held >= p.max_bars_in_trade: + xp = mid - half if side == "BUY" else mid + half + pr = calc_profit(entry, xp, side, lot_frac) + balance += pr + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": pr, "exit_reason": "max_bars"}) + closed = True + + if not closed and side == "BUY": + if p.use_partial_tp and not tp1_done and high[i] >= tp1_px: + pr1 = calc_profit(entry, tp1_px - half, side, p.tp1_close_pct) + balance += pr1 + tp1_done = True + lot_frac = 1.0 - p.tp1_close_pct + sl_px = max(sl_px, entry + be_off) + tp_px = entry + atr1 * p.tp2_atr_mult if atr1 > 0 else tp_px + + if tp1_done and p.use_trail_after_tp1 and atr1 > 0: + cand = high[i] - atr1 * p.trail_atr_mult + if cand > entry: + trail = max(trail, cand) if trail > 0 else cand + sl_px = max(sl_px, trail) + + eff_sl = sl_px + if low[i] <= eff_sl: + reason = "trail" if trail > 0 and eff_sl > entry + be_off else ("be" if tp1_done else "sl") + pr = calc_profit(entry, eff_sl - half, side, lot_frac) + balance += pr + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": pr, "exit_reason": reason}) + closed = True + elif high[i] >= tp_px: + pr = calc_profit(entry, tp_px - half, side, lot_frac) + balance += pr + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": pr, "exit_reason": "tp2" if tp1_done else "tp"}) + closed = True + + elif not closed and side == "SELL": + if p.use_partial_tp and not tp1_done and low[i] <= tp1_px: + pr1 = calc_profit(entry, tp1_px + half, side, p.tp1_close_pct) + balance += pr1 + tp1_done = True + lot_frac = 1.0 - p.tp1_close_pct + sl_px = min(sl_px, entry - be_off) + tp_px = entry - atr1 * p.tp2_atr_mult if atr1 > 0 else tp_px + + if tp1_done and p.use_trail_after_tp1 and atr1 > 0: + cand = low[i] + atr1 * p.trail_atr_mult + if cand < entry: + trail = min(trail, cand) if trail > 0 else cand + sl_px = min(sl_px, trail) + + eff_sl = sl_px + if high[i] >= eff_sl: + reason = "trail" if trail > 0 and eff_sl < entry - be_off else ("be" if tp1_done else "sl") + pr = calc_profit(entry, eff_sl + half, side, lot_frac) + balance += pr + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": pr, "exit_reason": reason}) + closed = True + elif low[i] <= tp_px: + pr = calc_profit(entry, tp_px + half, side, lot_frac) + balance += pr + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": pr, "exit_reason": "tp2" if tp1_done else "tp"}) + closed = True + + if closed: + side = None + tp1_done = False + lot_frac = 1.0 + trail = 0.0 + + if side is None: + spread_pips = spread_px / pip if pip > 0 else 0 + if (p.max_spread_pips <= 0 or spread_pips <= p.max_spread_pips) and i - last_entry_i >= p.cooldown_bars: + if buy_sig[i] and atr1 > 0: + side = "BUY" + entry = mid + half + entry_i = i + sl_px = entry - atr1 * p.atr_sl_mult + tp1_px = entry + atr1 * p.tp1_atr_mult + tp_px = entry + atr1 * (p.tp2_atr_mult if p.use_partial_tp else p.tp1_atr_mult) + tp1_done = False + lot_frac = 1.0 + trail = 0.0 + last_entry_i = i + elif sell_sig[i] and atr1 > 0: + side = "SELL" + entry = mid - half + entry_i = i + sl_px = entry + atr1 * p.atr_sl_mult + tp1_px = entry - atr1 * p.tp1_atr_mult + tp_px = entry - atr1 * (p.tp2_atr_mult if p.use_partial_tp else p.tp1_atr_mult) + tp1_done = False + lot_frac = 1.0 + trail = 0.0 + last_entry_i = i + + mark = balance + if side == "BUY": + mark += calc_profit(entry, float(close[i - 1]), side, lot_frac) + costs.commission_per_lot * p.lot_size * lot_frac * 2.0 + elif side == "SELL": + mark += calc_profit(entry, float(close[i - 1]), side, lot_frac) + costs.commission_per_lot * p.lot_size * lot_frac * 2.0 + equity.append(mark) + + if side is not None: + pr = calc_profit(entry, float(close[-1]), side, lot_frac) + balance += pr + trades.append({"side": side, "open_i": entry_i, "close_i": len(md.df) - 1, "profit": pr, "exit_reason": "eod"}) + + eq = pd.Series(equity[: len(md.df)], index=md.df.index[: len(equity)]) + net = balance - p.initial_balance + wins = [t["profit"] for t in trades if t["profit"] > 0] + losses = [t["profit"] for t in trades if t["profit"] <= 0] + gp = sum(wins) if wins else 0.0 + gl = abs(sum(losses)) if losses else 0.0 + pf = gp / gl if gl > 0 else 0.0 + wr = 100.0 * len(wins) / len(trades) if trades else 0.0 + dd = abs(float(((eq - eq.cummax()) / eq.cummax() * 100).min())) if len(eq) else 0.0 + rets = eq.pct_change().dropna() + sharpe = float(rets.mean() / rets.std() * np.sqrt(252 * 24 * 4)) if len(rets) > 1 and rets.std() > 0 else 0.0 + return V4Result(net, len(trades), wr, pf, dd, sharpe, trades) + + +def sample_v4(rng) -> V4Params: + return V4Params( + fast_ema=rng.randint(7, 13), + slow_ema=rng.choice([p for p in range(30, 53, 2)]), + entry_mode=rng.choice([0, 1, 1, 1]), + min_ema_gap_atr=round(rng.uniform(0.08, 0.25), 2), + chop_lookback=rng.choice([16, 20, 24, 32]), + max_chop_crosses=rng.choice([0, 1, 1, 2]), + pullback_swing_bars=rng.choice([8, 12, 16]), + pullback_min_depth_atr=round(rng.uniform(0.2, 0.6), 2), + adx_rising_bars=rng.choice([2, 3, 4, 5]), + cooldown_bars=rng.choice([3, 4, 5, 6, 8]), + atr_period=rng.choice([10, 14, 20]), + atr_sl_mult=round(rng.uniform(1.8, 2.8), 2), + tp1_atr_mult=round(rng.uniform(1.4, 2.2), 2), + tp1_close_pct=rng.choice([0.4, 0.5, 0.5, 0.6]), + tp2_atr_mult=round(rng.uniform(4.5, 7.0), 2), + max_bars_in_trade=rng.choice([64, 80, 96]), + htf_ema_period=rng.choice([50, 100, 200]), + adx_min=round(rng.uniform(18, 26), 1), + adx_max=round(rng.uniform(38, 50), 1), + min_atr_pips=round(rng.uniform(2.0, 5.0), 1), + max_atr_pips=round(rng.uniform(18, 28), 1), + slope_lookback=rng.choice([4, 5, 6]), + require_bullish_bar=rng.choice([True, True, False]), + use_di_filter=rng.choice([True, True, False]), + use_partial_tp=rng.choice([True, True, False]), + use_trail_after_tp1=rng.choice([True, True, False]), + trail_atr_mult=round(rng.uniform(1.1, 1.8), 2), + session_start=rng.choice([7, 8]), + session_end=rng.choice([20, 21, 22]), + max_spread_pips=rng.choice([6, 8]), + ) + + +def write_v4_set(p: V4Params, path) -> None: + lines = [ + "; SimpleEMA v4 — regime dual entry + partial TP", + "Timeframe=16388", + f"FastEmaPeriod={p.fast_ema}", + f"SlowEmaPeriod={p.slow_ema}", + f"EntryMode={p.entry_mode}", + f"MinEmaGapAtr={p.min_ema_gap_atr}", + f"ChopLookback={p.chop_lookback}", + f"MaxChopCrosses={p.max_chop_crosses}", + f"PullbackSwingBars={p.pullback_swing_bars}", + f"PullbackMinDepthAtr={p.pullback_min_depth_atr}", + f"AdxRisingBars={p.adx_rising_bars}", + f"CooldownBars={p.cooldown_bars}", + f"AtrPeriod={p.atr_period}", + f"AtrSlMult={p.atr_sl_mult}", + f"Tp1AtrMult={p.tp1_atr_mult}", + f"Tp1ClosePct={p.tp1_close_pct}", + f"Tp2AtrMult={p.tp2_atr_mult}", + f"MaxBarsInTrade={p.max_bars_in_trade}", + f"HtfEmaPeriod={p.htf_ema_period}", + f"AdxPeriod={p.adx_period}", + f"AdxMin={p.adx_min}", + f"AdxMax={p.adx_max}", + f"MinAtrPips={p.min_atr_pips}", + f"MaxAtrPips={p.max_atr_pips}", + f"SlopeLookback={p.slope_lookback}", + f"RequireBullishBar={'true' if p.require_bullish_bar else 'false'}", + f"UseDiFilter={'true' if p.use_di_filter else 'false'}", + f"UsePartialTp={'true' if p.use_partial_tp else 'false'}", + f"UseTrailAfterTp1={'true' if p.use_trail_after_tp1 else 'false'}", + f"TrailAtrMult={p.trail_atr_mult}", + f"BeOffsetPips={p.be_offset_pips}", + f"SessionStartHour={p.session_start}", + f"SessionEndHour={p.session_end}", + f"MaxSpreadPips={p.max_spread_pips}", + f"LotSize={p.lot_size}", + ] + path.write_text("\n".join(lines) + "\n", encoding="utf-8") diff --git a/lab/EAs/SimpleEMA/strategy_v5.py b/lab/EAs/SimpleEMA/strategy_v5.py new file mode 100644 index 0000000..1ea29e1 --- /dev/null +++ b/lab/EAs/SimpleEMA/strategy_v5.py @@ -0,0 +1,405 @@ +""" +SimpleEMA v5 — trend-leg pullback engine. + +Core idea: + - Cross entries use the proven v2-style filter stack (HTF + session + gap). + - Pullback entries only inside an active trend leg (bars since last same-dir cross). + - Avoids chop without stacking ADX-rising / chop-count on every signal. +""" + +from __future__ import annotations + +from dataclasses import dataclass + +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +from indicator_utils import calculate_adx, calculate_atr, calculate_ema # noqa: E402 + + +@dataclass +class V5Params: + fast_ema: int = 10 + slow_ema: int = 46 + trend_leg_bars: int = 48 + min_ema_gap_pips: float = 1.5 + cross_cooldown: int = 8 + pullback_cooldown: int = 3 + use_pullback: bool = True + pullback_touch: int = 0 # 0=fast EMA, 1=slow EMA + pullback_adx_min: float = 0.0 # 0 = same as cross (no extra) + pullback_min_gap_pips: float = 0.0 # 0 = use min_ema_gap_pips + max_pullbacks_per_leg: int = 1 + atr_period: int = 20 + atr_sl_mult: float = 2.71 + atr_tp_mult: float = 6.36 + max_bars_in_trade: int = 64 + htf_ema_period: int = 200 + use_htf_filter: bool = True + use_adx_filter: bool = False + adx_period: int = 14 + adx_min: float = 18.0 + session_start: int = 8 + session_end: int = 22 + max_spread_pips: float = 6.0 + lot_size: float = 0.10 + initial_balance: float = 10_000.0 + + +@dataclass +class V5Market: + df: pd.DataFrame + open_: np.ndarray + high: np.ndarray + low: np.ndarray + close: np.ndarray + hours: np.ndarray + fast: np.ndarray + slow: np.ndarray + atr: np.ndarray + adx: np.ndarray + htf: np.ndarray + + +@dataclass +class V5Result: + net_profit: float + total_trades: int + win_rate: float + profit_factor: float + max_drawdown_pct: float + sharpe: float + trades: list[dict] + + +@dataclass +class V5Cache: + df: pd.DataFrame + open_: np.ndarray + high: np.ndarray + low: np.ndarray + close: np.ndarray + hours: np.ndarray + fast: dict[int, np.ndarray] + slow: dict[int, np.ndarray] + atr: dict[int, np.ndarray] + adx: dict[int, np.ndarray] + htf: dict[int, np.ndarray] + + +def load_v5_cache(df: pd.DataFrame) -> V5Cache: + close_s = df["close"] + h4 = close_s.resample("4h").last().dropna() + return V5Cache( + df=df, + open_=df["open"].to_numpy(), + high=df["high"].to_numpy(), + low=df["low"].to_numpy(), + close=close_s.to_numpy(), + hours=df.index.hour.to_numpy(), + fast={p: calculate_ema(close_s, p).to_numpy() for p in range(6, 14)}, + slow={p: calculate_ema(close_s, p).to_numpy() for p in range(28, 55, 2)}, + atr={p: calculate_atr(df, p).to_numpy() for p in (10, 14, 20)}, + adx={p: calculate_adx(df, p).to_numpy() for p in (10, 14, 20)}, + htf={p: calculate_ema(h4, p).reindex(df.index, method="ffill").to_numpy() for p in (50, 100, 200)}, + ) + + +def market_from_cache(cache: V5Cache, p: V5Params) -> V5Market: + return V5Market( + df=cache.df, + open_=cache.open_, + high=cache.high, + low=cache.low, + close=cache.close, + hours=cache.hours, + fast=cache.fast[p.fast_ema], + slow=cache.slow[p.slow_ema], + atr=cache.atr[p.atr_period], + adx=cache.adx[p.adx_period], + htf=cache.htf[p.htf_ema_period], + ) + + +def _session_ok(hours: np.ndarray, start: int, end: int) -> np.ndarray: + if start <= 0 and end >= 24: + return np.ones(len(hours), dtype=bool) + if start < end: + return (hours >= start) & (hours < end) + return (hours >= start) | (hours < end) + + +def _last_cross_bar(cross: np.ndarray) -> np.ndarray: + idx = np.arange(len(cross), dtype=np.float64) + marked = np.where(cross, idx, np.nan) + return pd.Series(marked).ffill().to_numpy() + + +def _trend_legs(bull_cross: np.ndarray, bear_cross: np.ndarray, leg_bars: int) -> tuple[np.ndarray, np.ndarray]: + idx = np.arange(len(bull_cross), dtype=np.int32) + bull_bar = _last_cross_bar(bull_cross) + bear_bar = _last_cross_bar(bear_cross) + bull_ok = ~np.isnan(bull_bar) + bear_ok = ~np.isnan(bear_bar) + since_bull = idx - bull_bar + since_bear = idx - bear_bar + + long_leg = bull_ok & (since_bull <= leg_bars) & (~bear_ok | (bull_bar > bear_bar)) + short_leg = bear_ok & (since_bear <= leg_bars) & (~bull_ok | (bear_bar > bull_bar)) + return long_leg, short_leg + + +def build_v5_signals(md: V5Market, p: V5Params, pip: float) -> tuple[np.ndarray, np.ndarray, np.ndarray]: + """Returns buy_cross, buy_pullback, sell_cross, sell_pullback as separate arrays.""" + n = len(md.close) + f1 = np.roll(md.fast, 1) + s1 = np.roll(md.slow, 1) + f2 = np.roll(md.fast, 2) + s2 = np.roll(md.slow, 2) + c1 = np.roll(md.close, 1) + h1 = np.roll(md.high, 1) + l1 = np.roll(md.low, 1) + htf1 = np.roll(md.htf, 1) + adx1 = np.roll(md.adx, 1) + + bull_cross = (f2 <= s2) & (f1 > s1) + bear_cross = (f2 >= s2) & (f1 < s1) + long_leg, short_leg = _trend_legs(bull_cross, bear_cross, p.trend_leg_bars) + + gap_ok = np.abs(f1 - s1) / pip >= p.min_ema_gap_pips + sess = _session_ok(np.roll(md.hours, 1), p.session_start, p.session_end) + adx_ok = (adx1 >= p.adx_min) if p.use_adx_filter else np.ones(n, dtype=bool) + + if p.use_htf_filter: + htf_long = c1 > htf1 + htf_short = c1 < htf1 + else: + htf_long = htf_short = np.ones(n, dtype=bool) + + base_long = gap_ok & sess & adx_ok & htf_long & (f1 > s1) + base_short = gap_ok & sess & adx_ok & htf_short & (f1 < s1) + + cross_buy = bull_cross & base_long + cross_sell = bear_cross & base_short + + touch = f1 if p.pullback_touch == 0 else s1 + pb_buy = np.zeros(n, dtype=bool) + pb_sell = np.zeros(n, dtype=bool) + if p.use_pullback: + pb_gap = p.pullback_min_gap_pips if p.pullback_min_gap_pips > 0 else p.min_ema_gap_pips + pb_gap_ok = np.abs(f1 - s1) / pip >= pb_gap + pb_adx_min = p.pullback_adx_min if p.pullback_adx_min > 0 else (p.adx_min if p.use_adx_filter else 0) + pb_adx_ok = (adx1 >= pb_adx_min) if pb_adx_min > 0 else np.ones(n, dtype=bool) + pb_base_long = pb_gap_ok & pb_adx_ok & sess & htf_long & (f1 > s1) + pb_base_short = pb_gap_ok & pb_adx_ok & sess & htf_short & (f1 < s1) + pb_buy = long_leg & pb_base_long & (l1 <= touch) & (c1 > touch) & ~bull_cross + pb_sell = short_leg & pb_base_short & (h1 >= touch) & (c1 < touch) & ~bear_cross + + warm = max(p.slow_ema + 5, 30) + for arr in (cross_buy, cross_sell, pb_buy, pb_sell): + arr[:warm] = False + + return cross_buy, pb_buy, cross_sell, pb_sell + + +def simulate_v5(md: V5Market, symbol: str, p: V5Params, costs, pip: float, point: float) -> V5Result: + cross_buy, pb_buy, cross_sell, pb_sell = build_v5_signals(md, p, pip) + opn, high, low, close, atr = md.open_, md.high, md.low, md.close, md.atr + + spread_px = costs.spread_points * point + slip = costs.slippage_points * point + half = spread_px / 2.0 + slip + commission = costs.commission_per_lot * p.lot_size * 2.0 + + balance = p.initial_balance + equity = [balance] + trades: list[dict] = [] + side = None + entry = 0.0 + entry_i = 0 + sl_px = 0.0 + tp_px = 0.0 + last_cross_i = -10_000 + last_pb_i = -10_000 + leg_pb_count = 0 + active_leg = 0 # 1=long, -1=short + + def calc_profit(entry_px: float, exit_px: float, s: str) -> float: + ot = mt5.ORDER_TYPE_BUY if s == "BUY" else mt5.ORDER_TYPE_SELL + pr = mt5.order_calc_profit(ot, symbol, p.lot_size, entry_px, exit_px) + return float(pr) - commission if pr is not None else -commission + + warm = max(p.slow_ema + 5, 30) + for i in range(warm, len(md.df)): + atr1 = float(atr[i - 1]) if not np.isnan(atr[i - 1]) else 0.0 + mid = float(opn[i]) + + if side is not None: + closed = False + bars_held = i - entry_i + if p.max_bars_in_trade > 0 and bars_held >= p.max_bars_in_trade: + xp = mid - half if side == "BUY" else mid + half + pr = calc_profit(entry, xp, side) + balance += pr + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": pr, "exit_reason": "max_bars"}) + closed = True + elif side == "BUY": + if low[i] <= sl_px: + pr = calc_profit(entry, sl_px - half, side) + balance += pr + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": pr, "exit_reason": "sl"}) + closed = True + elif high[i] >= tp_px: + pr = calc_profit(entry, tp_px - half, side) + balance += pr + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": pr, "exit_reason": "tp"}) + closed = True + elif side == "SELL": + if high[i] >= sl_px: + pr = calc_profit(entry, sl_px + half, side) + balance += pr + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": pr, "exit_reason": "sl"}) + closed = True + elif low[i] <= tp_px: + pr = calc_profit(entry, tp_px + half, side) + balance += pr + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": pr, "exit_reason": "tp"}) + closed = True + + if closed: + side = None + + # track trend leg for pullback cap + if cross_buy[i]: + active_leg = 1 + leg_pb_count = 0 + elif cross_sell[i]: + active_leg = -1 + leg_pb_count = 0 + + if side is None: + spread_pips = spread_px / pip if pip > 0 else 0 + if p.max_spread_pips <= 0 or spread_pips <= p.max_spread_pips: + entered = False + if cross_buy[i] and atr1 > 0 and i - last_cross_i >= p.cross_cooldown: + side = "BUY" + entry = mid + half + entry_i = i + sl_px = entry - atr1 * p.atr_sl_mult + tp_px = entry + atr1 * p.atr_tp_mult + last_cross_i = i + entered = True + elif cross_sell[i] and atr1 > 0 and i - last_cross_i >= p.cross_cooldown: + side = "SELL" + entry = mid - half + entry_i = i + sl_px = entry + atr1 * p.atr_sl_mult + tp_px = entry - atr1 * p.atr_tp_mult + last_cross_i = i + entered = True + elif p.use_pullback and pb_buy[i] and atr1 > 0 and i - last_pb_i >= p.pullback_cooldown: + if active_leg == 1 and leg_pb_count < p.max_pullbacks_per_leg: + side = "BUY" + entry = mid + half + entry_i = i + sl_px = entry - atr1 * p.atr_sl_mult + tp_px = entry + atr1 * p.atr_tp_mult + last_pb_i = i + leg_pb_count += 1 + entered = True + elif p.use_pullback and pb_sell[i] and atr1 > 0 and i - last_pb_i >= p.pullback_cooldown: + if active_leg == -1 and leg_pb_count < p.max_pullbacks_per_leg: + side = "SELL" + entry = mid - half + entry_i = i + sl_px = entry + atr1 * p.atr_sl_mult + tp_px = entry - atr1 * p.atr_tp_mult + last_pb_i = i + leg_pb_count += 1 + entered = True + _ = entered + + mark = balance + if side == "BUY": + mark += calc_profit(entry, float(close[i - 1]), side) + commission + elif side == "SELL": + mark += calc_profit(entry, float(close[i - 1]), side) + commission + equity.append(mark) + + if side is not None: + pr = calc_profit(entry, float(close[-1]), side) + balance += pr + trades.append({"side": side, "open_i": entry_i, "close_i": len(md.df) - 1, "profit": pr, "exit_reason": "eod"}) + + eq = pd.Series(equity[: len(md.df)], index=md.df.index[: len(equity)]) + net = balance - p.initial_balance + wins = [t["profit"] for t in trades if t["profit"] > 0] + losses = [t["profit"] for t in trades if t["profit"] <= 0] + gp = sum(wins) if wins else 0.0 + gl = abs(sum(losses)) if losses else 0.0 + pf = gp / gl if gl > 0 else 0.0 + wr = 100.0 * len(wins) / len(trades) if trades else 0.0 + dd = abs(float(((eq - eq.cummax()) / eq.cummax() * 100).min())) if len(eq) else 0.0 + rets = eq.pct_change().dropna() + sharpe = float(rets.mean() / rets.std() * np.sqrt(252 * 24 * 4)) if len(rets) > 1 and rets.std() > 0 else 0.0 + return V5Result(net, len(trades), wr, pf, dd, sharpe, trades) + + +def sample_v5(rng) -> V5Params: + return V5Params( + fast_ema=rng.randint(8, 12), + slow_ema=rng.choice([p for p in range(38, 53, 2)]), + trend_leg_bars=rng.choice([32, 40, 48, 56, 64, 72]), + min_ema_gap_pips=round(rng.uniform(0.5, 2.5), 1), + cross_cooldown=rng.choice([6, 7, 8, 9, 10]), + pullback_cooldown=rng.choice([2, 3, 4, 5]), + use_pullback=rng.choice([True, False]), + pullback_touch=rng.choice([0, 1]), + pullback_adx_min=rng.choice([0.0, 20.0, 22.0, 25.0]), + pullback_min_gap_pips=rng.choice([0.0, 1.5, 2.0, 2.5]), + max_pullbacks_per_leg=rng.choice([1, 1, 2]), + atr_period=rng.choice([14, 20]), + atr_sl_mult=round(rng.uniform(2.0, 3.2), 2), + atr_tp_mult=round(rng.uniform(4.5, 7.5), 2), + max_bars_in_trade=rng.choice([48, 64, 80, 96]), + htf_ema_period=rng.choice([100, 200]), + use_htf_filter=rng.choice([True, True, False]), + use_adx_filter=rng.choice([False, False, True]), + adx_min=round(rng.uniform(16, 24), 1), + session_start=rng.choice([7, 8]), + session_end=rng.choice([21, 22]), + max_spread_pips=rng.choice([6, 8]), + ) + + +def write_v5_set(p: V5Params, path) -> None: + lines = [ + "; SimpleEMA v5 — trend-leg cross + pullback", + "Timeframe=16388", + f"FastEmaPeriod={p.fast_ema}", + f"SlowEmaPeriod={p.slow_ema}", + f"TrendLegBars={p.trend_leg_bars}", + f"MinEmaGapPips={p.min_ema_gap_pips}", + f"CrossCooldown={p.cross_cooldown}", + f"PullbackCooldown={p.pullback_cooldown}", + f"UsePullback={'true' if p.use_pullback else 'false'}", + f"PullbackTouch={p.pullback_touch}", + f"PullbackAdxMin={p.pullback_adx_min}", + f"PullbackMinGapPips={p.pullback_min_gap_pips}", + f"MaxPullbacksPerLeg={p.max_pullbacks_per_leg}", + f"AtrPeriod={p.atr_period}", + f"AtrSlMult={p.atr_sl_mult}", + f"AtrTpMult={p.atr_tp_mult}", + f"MaxBarsInTrade={p.max_bars_in_trade}", + f"HtfEmaPeriod={p.htf_ema_period}", + f"UseHtfFilter={'true' if p.use_htf_filter else 'false'}", + f"UseAdxFilter={'true' if p.use_adx_filter else 'false'}", + f"AdxPeriod={p.adx_period}", + f"AdxMin={p.adx_min}", + f"SessionStartHour={p.session_start}", + f"SessionEndHour={p.session_end}", + f"MaxSpreadPips={p.max_spread_pips}", + f"LotSize={p.lot_size}", + ] + path.write_text("\n".join(lines) + "\n", encoding="utf-8") diff --git a/lab/EAs/SimpleEMA/sync_frontline_cluster.py b/lab/EAs/SimpleEMA/sync_frontline_cluster.py new file mode 100644 index 0000000..8058896 --- /dev/null +++ b/lab/EAs/SimpleEMA/sync_frontline_cluster.py @@ -0,0 +1,260 @@ +#!/usr/bin/env python3 +"""Build frontline/cluster-SimpleEMA from portfolio_params.json + mt5_sets.""" + +from __future__ import annotations + +import json +import shutil +from datetime import datetime +from pathlib import Path + +LAB = Path(__file__).resolve().parent +ROOT = LAB.parents[2] +CLUSTER = ROOT / "frontline" / "cluster-SimpleEMA" +PARAMS = LAB / "portfolio_params.json" +SETS_SRC = LAB / "mt5_sets" +MAGIC_BASE = 930101 + + +def fmt_bool(v: bool) -> str: + return "true" if v else "false" + + +def describe_params(p: dict) -> str: + pb = "pb" if p.get("use_pullback") else "cross" + htf = p.get("htf_ema_period", 200) if p.get("use_htf_filter") else "off" + return f"fast={p['fast_ema']} slow={p['slow_ema']} {pb} htf={htf}" + + +def gen_params_mqh(members: list[dict]) -> str: + lines = [ + "// SimpleEMAParams.mqh — auto-generated; do not edit by hand", + f"// Generated: {datetime.now().isoformat(timespec='seconds')}", + "#ifndef SIMPLE_EMA_PARAMS_MQH", + "#define SIMPLE_EMA_PARAMS_MQH", + "", + f"#define SE_SLOT_COUNT {len(members)}", + "", + "struct SESlotParams", + "{", + " int fastEma;", + " int slowEma;", + " int trendLegBars;", + " double minEmaGapPips;", + " int crossCooldown;", + " int pullbackCooldown;", + " bool usePullback;", + " int pullbackTouch;", + " double pullbackAdxMin;", + " double pullbackMinGapPips;", + " int maxPullbacksPerLeg;", + " double lotSize;", + " int atrPeriod;", + " double atrSlMult;", + " double atrTpMult;", + " int maxBarsInTrade;", + " int htfEmaPeriod;", + " bool useHtfFilter;", + " bool useAdxFilter;", + " int adxPeriod;", + " double adxMin;", + " int sessionStart;", + " int sessionEnd;", + " int maxSpreadPips;", + "};", + "", + "struct SESlotConfig", + "{", + " string symbol;", + " int magic;", + " bool enabled;", + " SESlotParams p;", + "};", + "", + "const SESlotConfig SE_SLOTS[SE_SLOT_COUNT] =", + "{", + ] + for i, m in enumerate(members): + p = m["params"] + sym = m["symbol"] + magic = MAGIC_BASE + i + comma = "," if i < len(members) - 1 else "" + lines.append(f" // {sym} PF={m.get('mt5_metrics', {}).get('profit_factor', '-')} T={m.get('mt5_metrics', {}).get('total_trades', '-')}") + lines.append(" {") + lines.append(f' "{sym}", {magic}, true,') + lines.append(" {") + lines.append( + f" {p['fast_ema']}, {p['slow_ema']}, {p['trend_leg_bars']}, " + f"{p['min_ema_gap_pips']}, {p['cross_cooldown']}, {p['pullback_cooldown']}, " + f"{fmt_bool(p['use_pullback'])}, {p['pullback_touch']}, " + f"{p['pullback_adx_min']}, {p['pullback_min_gap_pips']}, {p['max_pullbacks_per_leg']}, " + f"{p['lot_size']}, {p['atr_period']}, {p['atr_sl_mult']}, {p['atr_tp_mult']}, " + f"{p['max_bars_in_trade']}, {p['htf_ema_period']}, " + f"{fmt_bool(p['use_htf_filter'])}, {fmt_bool(p['use_adx_filter'])}, " + f"{p['adx_period']}, {p['adx_min']}, {p['session_start']}, {p['session_end']}, " + f"{int(p['max_spread_pips'])}" + ) + lines.append(f" }}") + lines.append(f" }}{comma}") + lines.extend(["};", "", "#endif", ""]) + return "\n".join(lines) + + +def gen_magic_mqh(n: int) -> str: + lines = [ + "// SimpleEMAMagic.mqh — fixed slot magics (cluster-SimpleEMA)", + f"#define SE_MAGIC_BASE {MAGIC_BASE}", + "", + "const int SE_SLOT_MAGICS[SE_SLOT_COUNT] =", + "{", + ] + for i in range(n): + comma = "," if i < n - 1 else "" + lines.append(f" {MAGIC_BASE + i}{comma} // slot {i + 1}") + lines.extend(["};", ""]) + return "\n".join(lines) + + +def gen_manifest(members: list[dict], cfg: dict) -> dict: + slots = [] + for i, m in enumerate(members): + mt = m.get("mt5_metrics", {}) + slots.append( + { + "slot": i + 1, + "symbol": m["symbol"], + "magic": MAGIC_BASE + i, + "enabled": True, + "describe": describe_params(m["params"]), + "pf": mt.get("profit_factor"), + "trades": mt.get("total_trades"), + "net_profit": mt.get("net_profit"), + "set_file": f"sets/SimpleEMA_{m['symbol']}.set", + } + ) + return { + "ea": "cluster-SimpleEMA", + "timeframe": cfg.get("timeframe", "M15"), + "magic_range": [MAGIC_BASE, MAGIC_BASE + len(members) - 1], + "lot_per_symbol": cfg.get("lot_per_symbol", 0.05), + "period": cfg.get("period", ["2020-01-01", "2026-01-01"]), + "generated_at": datetime.now().isoformat(timespec="seconds"), + "source": "lab/EAs/SimpleEMA/portfolio_params.json", + "portfolio_metrics": { + "enabled_count": len(members), + "total_trades": sum(mt.get("total_trades", 0) for mt in (m.get("mt5_metrics", {}) for m in members)), + "net_profit": round(sum(mt.get("net_profit", 0) for mt in (m.get("mt5_metrics", {}) for m in members)), 2), + }, + "slots": slots, + } + + +def gen_readme(members: list[dict], manifest: dict) -> str: + pf = manifest["portfolio_metrics"] + syms = ", ".join(m["symbol"] for m in members[:8]) + ", …" + return f"""# cluster-SimpleEMA + +SimpleEMA v5 **35-symbol portfolio** — per-symbol MT5-optimized params (M15 trend-leg cross + pullback). + +> Source of truth: MT5 Strategy Tester per-symbol runs. See `lab/EAs/SimpleEMA/best_run/mt5_results.json`. + +## Performance (MT5 backtest 2020–2026) + +| Metric | Value | +|--------|-------| +| Symbols | {pf['enabled_count']} | +| Total trades | {pf['total_trades']} | +| Net profit (sum) | ${pf['net_profit']:,.2f} | + +## Deploy + +1. Copy this folder to `MQL5/Experts/cluster-SimpleEMA/` +2. Compile `main.mq5` in MetaEditor +3. Attach to **any** chart (e.g. EURUSD M15) — EA trades all symbols in `manifest.json` +4. Ensure all symbols are visible in Market Watch + +## Magic numbers + +**{MAGIC_BASE}–{MAGIC_BASE + len(members) - 1}** — one magic per symbol slot. No overlap with `cluster-NZDUSD` (928101+) or `cluster-latest`. + +Slot mapping: `manifest.json` / `SimpleEMAMagic.mqh`. + +## Symbols ({len(members)}) + +{syms} + +Full list in `manifest.json`. + +## Per-symbol .set files + +`sets/SimpleEMA_{{SYMBOL}}.set` — load in Strategy Tester to re-verify a single symbol with `lab/EAs/SimpleEMA/main.mq5`. + +## Regenerate from lab + +```powershell +cd lab/EAs/SimpleEMA +python sync_frontline_cluster.py +``` + +## Run alongside cluster-latest + +Different magic range. Use separate chart or same account — magics do not collide. +""" + + +def gen_portfolio_set(members: list[dict]) -> str: + sym_list = ",".join(m["symbol"] for m in members) + return f"""; cluster-SimpleEMA — attach reference (params baked in EA) +Timeframe=16388 +OneTradePerSymbol=true +; Symbols (informational — locked in SimpleEMAParams.mqh): +; {sym_list} +""" + + +def main() -> None: + data = json.loads(PARAMS.read_text(encoding="utf-8")) + members = [m for m in data["members"] if m.get("enabled") and "params" in m] + if not members: + raise SystemExit("No enabled members in portfolio_params.json") + + members.sort(key=lambda m: m["symbol"]) + CLUSTER.mkdir(parents=True, exist_ok=True) + sets_dir = CLUSTER / "sets" + sets_dir.mkdir(exist_ok=True) + + (CLUSTER / "SimpleEMAParams.mqh").write_text(gen_params_mqh(members), encoding="utf-8") + (CLUSTER / "SimpleEMAMagic.mqh").write_text(gen_magic_mqh(len(members)), encoding="utf-8") + + manifest = gen_manifest(members, data.get("config", {})) + (CLUSTER / "manifest.json").write_text(json.dumps(manifest, indent=2), encoding="utf-8") + (CLUSTER / "README.md").write_text(gen_readme(members, manifest), encoding="utf-8") + (CLUSTER / "SimpleEMA_portfolio.set").write_text(gen_portfolio_set(members), encoding="utf-8") + + copied = 0 + for m in members: + sym = m["symbol"] + src = SETS_SRC / f"SimpleEMA_{sym}.set" + dst = sets_dir / f"SimpleEMA_{sym}.set" + if src.exists(): + shutil.copy2(src, dst) + copied += 1 + + helpers_src = ROOT / "frontline" / "cluster-latest" / "MagicNumberHelpers.mqh" + if helpers_src.exists(): + shutil.copy2(helpers_src, CLUSTER / "MagicNumberHelpers.mqh") + + report_src = LAB / "best_run" / "MT5_portfolio_summary.png" + reports_dir = CLUSTER / "reports" + reports_dir.mkdir(exist_ok=True) + if report_src.exists(): + shutil.copy2(report_src, reports_dir / "MT5_portfolio_summary.png") + + print(f"Built {CLUSTER}") + print(f" slots: {len(members)}") + print(f" sets copied: {copied}/{len(members)}") + print(f" magic: {MAGIC_BASE}..{MAGIC_BASE + len(members) - 1}") + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/SimpleEMA/sync_portfolio_from_mt5.py b/lab/EAs/SimpleEMA/sync_portfolio_from_mt5.py new file mode 100644 index 0000000..9bdd744 --- /dev/null +++ b/lab/EAs/SimpleEMA/sync_portfolio_from_mt5.py @@ -0,0 +1,65 @@ +#!/usr/bin/env python3 +"""Enable/disable portfolio members from MT5 backtest results (source of truth).""" + +from __future__ import annotations + +import argparse +import json +from pathlib import Path + +LAB = Path(__file__).resolve().parent +PARAMS = LAB / "portfolio_params.json" +MT5 = LAB / "best_run" / "mt5_results.json" + + +def main() -> None: + ap = argparse.ArgumentParser() + ap.add_argument("--min-pf", type=float, default=1.0) + ap.add_argument("--min-trades", type=int, default=8) + ap.add_argument("--min-net", type=float, default=0.01) + args = ap.parse_args() + + if not PARAMS.exists() or not MT5.exists(): + raise SystemExit("Need portfolio_params.json and best_run/mt5_results.json") + + params = json.loads(PARAMS.read_text(encoding="utf-8")) + mt5 = json.loads(MT5.read_text(encoding="utf-8")) + by_sym = {r["symbol"]: r for r in mt5.get("per_symbol", []) if r.get("ready")} + + enabled = 0 + for m in params.get("members", []): + sym = m.get("symbol", "") + r = by_sym.get(sym) + if not r: + m["enabled"] = False + m["mt5_status"] = "no_mt5_run" + continue + ok = ( + (r.get("net_profit") or 0) >= args.min_net + and (r.get("profit_factor") or 0) >= args.min_pf + and (r.get("total_trades") or 0) >= args.min_trades + ) + m["enabled"] = ok + m["mt5_status"] = "ok" if ok else "rejected" + m["mt5_metrics"] = { + "net_profit": r.get("net_profit"), + "total_trades": r.get("total_trades"), + "profit_factor": r.get("profit_factor"), + } + if ok: + enabled += 1 + + params["selection_source"] = "mt5_strategy_tester" + params["mt5_enabled_count"] = enabled + PARAMS.write_text(json.dumps(params, indent=2), encoding="utf-8") + + pf = mt5.get("portfolio", {}) + print(f"Synced {enabled} enabled symbols from MT5") + print(f"MT5 portfolio trades (all tested): {pf.get('total_trades', 0)}") + en_trades = sum(m["mt5_metrics"]["total_trades"] for m in params["members"] if m.get("enabled")) + en_net = sum(m["mt5_metrics"]["net_profit"] for m in params["members"] if m.get("enabled")) + print(f"MT5 enabled-only: {en_trades} trades net=${en_net:,.2f}") + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/SimpleFibonacci/main.mq5 b/lab/EAs/SimpleFibonacci/main.mq5 deleted file mode 100644 index 509c229..0000000 --- a/lab/EAs/SimpleFibonacci/main.mq5 +++ /dev/null @@ -1,378 +0,0 @@ -#property strict -#property version "1.00" - -#include - -input group "=== Common ===" -input string InpSymbol = "BTCUSD"; -input ENUM_TIMEFRAMES InpTimeframe = PERIOD_M15; -input int InpSlippagePoints = 30; -input int InpPivotLookbackBars = 120; -input int InpMinSwingPoints = 500; - -input group "=== Robot 1: Fibonacci Retracement ===" -input bool FR_Enabled = true; -input int FR_Magic = 920101; -input double FR_Lots = 0.01; -input bool FR_BuyAt618 = true; -input bool FR_BuyAt500 = false; -input bool FR_UseHardSLTP = true; -input double FR_SL_BufferPoints = 400; -input double FR_TP_BufferPoints = 400; -input int FR_MaxHoldingBars = 96; // time-stop safety -input bool FR_CloseOnStructureBreak = true; // close if recent swing low breaks - -input group "=== Robot 2: Fibonacci Trend Extension ===" -input bool FE_Enabled = true; -input int FE_Magic = 920202; -input double FE_Lots = 0.01; -input bool FE_UseHardSLTP = true; -input double FE_SL_BufferPoints = 400; -input double FE_ExtensionLevel = 1.272; // Common values: 1.272 / 1.618 -input int FE_MinBarsBetweenTrades = 6; -input double FE_MinStopPoints = 3000; -input int FE_AtrPeriod = 14; -input double FE_MinStopAtrMult = 1.2; -input double FE_MinRR = 1.5; - -CTrade trade; -datetime g_lastBarTime = 0; -datetime g_lastFEEntryTime = 0; -datetime g_lastFREntryTime = 0; - -bool IsNewBar(const string symbol, ENUM_TIMEFRAMES tf) -{ - datetime t = iTime(symbol, tf, 0); - if(t <= 0 || t == g_lastBarTime) - return false; - g_lastBarTime = t; - return true; -} - -bool GetLowestLow(const string symbol, ENUM_TIMEFRAMES tf, const int bars, int &idx, double &price) -{ - idx = iLowest(symbol, tf, MODE_LOW, bars, 1); - if(idx < 0) - return false; - price = iLow(symbol, tf, idx); - return (price > 0.0); -} - -bool GetHighestHigh(const string symbol, ENUM_TIMEFRAMES tf, const int bars, int &idx, double &price) -{ - idx = iHighest(symbol, tf, MODE_HIGH, bars, 1); - if(idx < 0) - return false; - price = iHigh(symbol, tf, idx); - return (price > 0.0); -} - -double GetAtrPrice(const string symbol, ENUM_TIMEFRAMES tf, const int period) -{ - int hAtr = iATR(symbol, tf, period); - if(hAtr == INVALID_HANDLE) - return 0.0; - double b[1]; - if(CopyBuffer(hAtr, 0, 1, 1, b) <= 0) - { - IndicatorRelease(hAtr); - return 0.0; - } - IndicatorRelease(hAtr); - return b[0]; -} - -bool PositionExistsByMagic(const string symbol, const int magic) -{ - for(int i = PositionsTotal() - 1; i >= 0; --i) - { - ulong t = PositionGetTicket(i); - if(t == 0) - continue; - if(PositionGetString(POSITION_SYMBOL) == symbol && - (int)PositionGetInteger(POSITION_MAGIC) == magic) - return true; - } - return false; -} - -bool GetPositionByMagic(const string symbol, const int magic, ulong &ticket, ENUM_POSITION_TYPE &posType, datetime &openTime) -{ - for(int i = PositionsTotal() - 1; i >= 0; --i) - { - ulong t = PositionGetTicket(i); - if(t == 0) - continue; - if(PositionGetString(POSITION_SYMBOL) == symbol && - (int)PositionGetInteger(POSITION_MAGIC) == magic) - { - ticket = t; - posType = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE); - openTime = (datetime)PositionGetInteger(POSITION_TIME); - return true; - } - } - return false; -} - -double NormalizePrice(const string symbol, const double price) -{ - int digits = (int)SymbolInfoInteger(symbol, SYMBOL_DIGITS); - return NormalizeDouble(price, digits); -} - -bool ValidateAndAdjustStops(const bool isBuy, double &sl, double &tp) -{ - if(sl == 0.0 && tp == 0.0) - return true; - - MqlTick tick; - if(!SymbolInfoTick(InpSymbol, tick)) - return false; - - int stopsLevelPts = (int)SymbolInfoInteger(InpSymbol, SYMBOL_TRADE_STOPS_LEVEL); - int freezeLevelPts = (int)SymbolInfoInteger(InpSymbol, SYMBOL_TRADE_FREEZE_LEVEL); - double minDist = (double)MathMax(stopsLevelPts, freezeLevelPts) * _Point + 2.0 * _Point; - - if(isBuy) - { - if(sl > 0.0 && sl >= tick.bid - minDist) - sl = tick.bid - minDist; - if(tp > 0.0 && tp <= tick.ask + minDist) - tp = tick.ask + minDist; - if(sl > 0.0 && sl >= tick.bid) - return false; - if(tp > 0.0 && tp <= tick.ask) - return false; - } - else - { - if(sl > 0.0 && sl <= tick.ask + minDist) - sl = tick.ask + minDist; - if(tp > 0.0 && tp >= tick.bid - minDist) - tp = tick.bid - minDist; - if(sl > 0.0 && sl <= tick.ask) - return false; - if(tp > 0.0 && tp >= tick.bid) - return false; - } - - if(sl > 0.0) - sl = NormalizePrice(InpSymbol, sl); - if(tp > 0.0) - tp = NormalizePrice(InpSymbol, tp); - return true; -} - -bool OpenBuy(const int magic, const double lots, const string comment, const double sl, const double tp) -{ - MqlTick tick; - if(!SymbolInfoTick(InpSymbol, tick)) - return false; - double useSL = sl, useTP = tp; - if(!ValidateAndAdjustStops(true, useSL, useTP)) - return false; - trade.SetExpertMagicNumber(magic); - bool ok = trade.Buy(lots, InpSymbol, tick.ask, useSL, useTP, comment); - if(ok && magic == FR_Magic) - g_lastFREntryTime = iTime(InpSymbol, InpTimeframe, 0); - if(ok && magic == FE_Magic) - g_lastFEEntryTime = iTime(InpSymbol, InpTimeframe, 0); - return ok; -} - -bool OpenSell(const int magic, const double lots, const string comment, const double sl, const double tp) -{ - MqlTick tick; - if(!SymbolInfoTick(InpSymbol, tick)) - return false; - double useSL = sl, useTP = tp; - if(!ValidateAndAdjustStops(false, useSL, useTP)) - return false; - trade.SetExpertMagicNumber(magic); - bool ok = trade.Sell(lots, InpSymbol, tick.bid, useSL, useTP, comment); - if(ok && magic == FE_Magic) - g_lastFEEntryTime = iTime(InpSymbol, InpTimeframe, 0); - return ok; -} - -void RunFibonacciRetracement() -{ - if(!FR_Enabled) - return; - if(PositionExistsByMagic(InpSymbol, FR_Magic)) - return; - - int idxLow = -1, idxHigh = -1; - double swingLow = 0.0, swingHigh = 0.0; - if(!GetLowestLow(InpSymbol, InpTimeframe, InpPivotLookbackBars, idxLow, swingLow)) - return; - if(!GetHighestHigh(InpSymbol, InpTimeframe, InpPivotLookbackBars, idxHigh, swingHigh)) - return; - - double rangePts = (swingHigh - swingLow) / _Point; - if(rangePts < InpMinSwingPoints) - return; - - // Uptrend retracement model: low appears before high. - bool upSwing = (idxLow > idxHigh); - if(!upSwing) - return; - - double fib50 = swingHigh - (swingHigh - swingLow) * 0.500; - double fib61 = swingHigh - (swingHigh - swingLow) * 0.618; - - MqlTick tick; - if(!SymbolInfoTick(InpSymbol, tick)) - return; - - double sl = 0.0, tp = 0.0; - if(FR_UseHardSLTP) - { - // Positional levels: SL below swing low, TP near prior swing high breakout. - sl = swingLow - FR_SL_BufferPoints * _Point; - tp = swingHigh + FR_TP_BufferPoints * _Point; - } - - if(FR_BuyAt618 && tick.ask <= fib61) - OpenBuy(FR_Magic, FR_Lots, "FiboRetrace-61.8 Buy", sl, tp); - else if(FR_BuyAt500 && tick.ask <= fib50) - OpenBuy(FR_Magic, FR_Lots, "FiboRetrace-50.0 Buy", sl, tp); -} - -void ManageFibonacciRetracementExit() -{ - if(!FR_Enabled) - return; - - ulong ticket = 0; - ENUM_POSITION_TYPE posType = WRONG_VALUE; - datetime openTime = 0; - if(!GetPositionByMagic(InpSymbol, FR_Magic, ticket, posType, openTime)) - return; - - int tfSec = PeriodSeconds(InpTimeframe); - if(tfSec <= 0) - tfSec = 60; - int barsHeld = (int)((iTime(InpSymbol, InpTimeframe, 0) - openTime) / tfSec); - - // 1) Time stop: force close stale retracement trades. - if(FR_MaxHoldingBars > 0 && barsHeld >= FR_MaxHoldingBars) - { - trade.PositionClose(ticket); - return; - } - - // 2) Structure invalidation: if latest swing violates the trade idea, exit. - if(FR_CloseOnStructureBreak) - { - int idxLow = -1, idxHigh = -1; - double swingLow = 0.0, swingHigh = 0.0; - if(GetLowestLow(InpSymbol, InpTimeframe, InpPivotLookbackBars, idxLow, swingLow) && - GetHighestHigh(InpSymbol, InpTimeframe, InpPivotLookbackBars, idxHigh, swingHigh)) - { - MqlTick tick; - if(SymbolInfoTick(InpSymbol, tick)) - { - double invalidateBuffer = FR_SL_BufferPoints * _Point; - if(posType == POSITION_TYPE_BUY && tick.bid < (swingLow - invalidateBuffer)) - trade.PositionClose(ticket); - else if(posType == POSITION_TYPE_SELL && tick.ask > (swingHigh + invalidateBuffer)) - trade.PositionClose(ticket); - } - } - } -} - -void RunFibonacciExtension() -{ - if(!FE_Enabled) - return; - if(PositionExistsByMagic(InpSymbol, FE_Magic)) - return; - if(g_lastFEEntryTime > 0) - { - int tfSec = PeriodSeconds(InpTimeframe); - if(tfSec > 0) - { - int barsSince = (int)((iTime(InpSymbol, InpTimeframe, 0) - g_lastFEEntryTime) / tfSec); - if(barsSince < FE_MinBarsBetweenTrades) - return; - } - } - - int idxLow = -1, idxHigh = -1; - double swingLow = 0.0, swingHigh = 0.0; - if(!GetLowestLow(InpSymbol, InpTimeframe, InpPivotLookbackBars, idxLow, swingLow)) - return; - if(!GetHighestHigh(InpSymbol, InpTimeframe, InpPivotLookbackBars, idxHigh, swingHigh)) - return; - - double rangePts = (swingHigh - swingLow) / _Point; - if(rangePts < InpMinSwingPoints) - return; - - MqlTick tick; - if(!SymbolInfoTick(InpSymbol, tick)) - return; - - // Continuation breakout model: - // - If up swing (low before high), buy above swing high and target extension. - // - If down swing (high before low), sell below swing low and target extension. - bool upSwing = (idxLow > idxHigh); - - if(upSwing && tick.ask > swingHigh) - { - double sl = 0.0, tp = 0.0; - if(FE_UseHardSLTP) - { - sl = swingHigh - FE_SL_BufferPoints * _Point; - double extTP = swingLow + (swingHigh - swingLow) * FE_ExtensionLevel; - double atr = GetAtrPrice(InpSymbol, InpTimeframe, FE_AtrPeriod); - double minRisk = MathMax(FE_MinStopPoints * _Point, atr * FE_MinStopAtrMult); - double risk = tick.ask - sl; - if(risk < minRisk) - return; // Skip fragile entries with overly tight stop. - double rrTP = tick.ask + risk * FE_MinRR; - tp = MathMax(extTP, rrTP); - } - OpenBuy(FE_Magic, FE_Lots, "FiboExtension Buy", sl, tp); - } - else if(!upSwing && tick.bid < swingLow) - { - double sl = 0.0, tp = 0.0; - if(FE_UseHardSLTP) - { - sl = swingLow + FE_SL_BufferPoints * _Point; - double extTP = swingHigh - (swingHigh - swingLow) * FE_ExtensionLevel; - double atr = GetAtrPrice(InpSymbol, InpTimeframe, FE_AtrPeriod); - double minRisk = MathMax(FE_MinStopPoints * _Point, atr * FE_MinStopAtrMult); - double risk = sl - tick.bid; - if(risk < minRisk) - return; // Skip fragile entries with overly tight stop. - double rrTP = tick.bid - risk * FE_MinRR; - tp = MathMin(extTP, rrTP); - } - OpenSell(FE_Magic, FE_Lots, "FiboExtension Sell", sl, tp); - } -} - -int OnInit() -{ - if(!SymbolSelect(InpSymbol, true)) - return(INIT_FAILED); - trade.SetDeviationInPoints(InpSlippagePoints); - return(INIT_SUCCEEDED); -} - -void OnTick() -{ - if(_Symbol != InpSymbol) - return; - if(!IsNewBar(InpSymbol, InpTimeframe)) - return; - - ManageFibonacciRetracementExit(); - RunFibonacciRetracement(); - RunFibonacciExtension(); -} diff --git a/lab/EAs/SimpleTrendlineTSLA/SimpleTrendline_optimization.set b/lab/EAs/SimpleTrendlineTSLA/SimpleTrendline_optimization.set deleted file mode 100644 index 29aaeca..0000000 --- a/lab/EAs/SimpleTrendlineTSLA/SimpleTrendline_optimization.set +++ /dev/null @@ -1,14 +0,0 @@ -; SimpleTrendline.mq5 optimization preset (TSLA-focused) -; Strategy Tester -> Inputs -> Load -; Focus: trendline pullback + break exits on TSLA volatility (no broker SL/TP) -; -InpHigherTF=16385||16385||1||16387||Y -InpMAPeriod=55||30||5||160||Y -InpMAMethod=1||0||1||3||Y -InpAppliedPrice=0||0||1||6||Y -InpHTFBarsToScan=500||250||50||1500||Y -InpLineTouchTolerance=65.0||20.0||5.0||180.0||Y -InpBreakBuffer=22.0||8.0||2.0||70.0||Y -InpLots=0.10||0.10||0.01||0.10||N -InpMagic=26042501||26042501||1||26042501||N -InpDrawTrendline=false||false||0||true||N diff --git a/lab/EAs/TFXNZDUSD.mq5 b/lab/EAs/TFXNZDUSD.mq5 deleted file mode 100644 index fb85078..0000000 --- a/lab/EAs/TFXNZDUSD.mq5 +++ /dev/null @@ -1,383 +0,0 @@ -//+------------------------------------------------------------------+ -//| TFXNZDUSD.mq5 | -//| NZDUSD: HTF directional bias + intraday bearish→bullish shift | -//| Mirrors a reactive workflow: higher TFs for bias (D1/W1), | -//| lower TFs (H4–M15) for confirmation — long bias / pullback / | -//| reclaim entry. Not predictive; signals on closed bars. | -//+------------------------------------------------------------------+ -#property copyright "Lab" -#property link "" -#property version "1.01" -#property description "NZDUSD long-bias EA: D1/W1 trend filter, intraday EMA cross after pullback streak, ATR risk." - -#include - -input group "=== Symbol ===" -input string InpSymbol = "NZDUSD"; // Spot FX symbol (broker-specific) - -input group "=== Timeframes (thesis) ===" -input ENUM_TIMEFRAMES InpBiasTF = PERIOD_D1; // Directional bias (monthly/weekly/daily idea → D1 default) -input ENUM_TIMEFRAMES InpHigherBiasTF = PERIOD_W1; // Optional second bias filter -input ENUM_TIMEFRAMES InpSignalTF = PERIOD_H4; // Intraday environment shift (H4 or lower) - -input group "=== HTF bias (long-only, reactive) ===" -input bool InpUseWeeklyBias = true; // Require W1 close > W1 EMA -input int InpBiasEmaPeriod = 50; // EMA period on bias TFs -input bool InpAllowCounterBias = false; // If false, skip longs when D1 close < D1 EMA - -input group "=== Intraday shift (bearish → bullish) ===" -input int InpFastEma = 8; -input int InpSlowEma = 21; -input int InpMinBearishBars = 3; // Min consecutive bars with fast EMA < slow before cross-up -input bool InpRequireBullBody = true; // Bullish closed candle on cross bar - -input group "=== Risk ===" -input double InpLots = 0.10; -input int InpMagic = 926001; -input int InpSlippagePoints = 20; -input int InpMaxSpreadPoints = 40; -input bool InpUseAtrStops = true; -input int InpAtrPeriod = 14; -input double InpSlAtrMult = 1.5; -input double InpTpAtrMult = 2.5; -input double InpMinStopPoints = 50; -input int InpMaxPositions = 1; - -input group "=== Session (optional) ===" -input bool InpUseSessionFilter = false; -input int InpSessionStartHour = 7; // Server hour start -input int InpSessionEndHour = 20; // Server hour end (exclusive if cross midnight handled below) - -CTrade g_trade; - -int g_atrSig = INVALID_HANDLE; -int g_emaBiasD1 = INVALID_HANDLE; -int g_emaBiasW1 = INVALID_HANDLE; -int g_emaFastSig = INVALID_HANDLE; -int g_emaSlowSig = INVALID_HANDLE; - -/// Effective TFs after sanity check (genetic optimizers often pass invalid ENUM integers). -ENUM_TIMEFRAMES g_effBiasTF = PERIOD_D1; -ENUM_TIMEFRAMES g_effHigherBiasTF = PERIOD_W1; -ENUM_TIMEFRAMES g_effSignalTF = PERIOD_H4; - -datetime g_lastSignalBar = 0; - -// Maps garbage timeframe integers from optimization to nearest supported standard period. -ENUM_TIMEFRAMES NearestStandardTf(const ENUM_TIMEFRAMES raw) -{ - if(PeriodSeconds(raw) > 0) - return raw; - - const ENUM_TIMEFRAMES cand[] = - { - PERIOD_M15, PERIOD_M30, PERIOD_H1, PERIOD_H4, PERIOD_D1, PERIOD_W1 - }; - const long r = (long)raw; - ENUM_TIMEFRAMES best = PERIOD_H4; - long bestDist = -1; - for(int i = 0; i < ArraySize(cand); i++) - { - if(PeriodSeconds(cand[i]) <= 0) - continue; - const long diff = r - (long)cand[i]; - const long d = (diff >= 0 ? diff : -diff); - if(bestDist < 0 || d < bestDist) - { - bestDist = d; - best = cand[i]; - } - } - return best; -} - -string WorkSymbol() -{ - string s = InpSymbol; - StringTrimLeft(s); - StringTrimRight(s); - // .set files sometimes concatenate optimization payload into string inputs (e.g. "NZDUSD||0||...") - const int bar = StringFind(s, "|"); - if(bar >= 0) - s = StringSubstr(s, 0, bar); - StringTrimRight(s); - return (StringLen(s) > 0 ? s : _Symbol); -} - -bool SessionOk() -{ - if(!InpUseSessionFilter) - return true; - MqlDateTime dt; - TimeToStruct(TimeCurrent(), dt); - int h = dt.hour; - if(InpSessionStartHour <= InpSessionEndHour) - return (h >= InpSessionStartHour && h < InpSessionEndHour); - return (h >= InpSessionStartHour || h < InpSessionEndHour); -} - -double Buf1(const int handle, const int shift) -{ - double b[]; - ArraySetAsSeries(b, true); - if(CopyBuffer(handle, 0, shift, 1, b) != 1) - return 0.0; - return b[0]; -} - -bool CopyClose(const string sym, const ENUM_TIMEFRAMES tf, const int shift, double &out) -{ - double c[]; - ArraySetAsSeries(c, true); - if(CopyClose(sym, tf, shift, 1, c) != 1) - return false; - out = c[0]; - return true; -} - -bool HtfLongBias(const string sym) -{ - double cD1 = 0.0, eD1 = 0.0; - if(!CopyClose(sym, g_effBiasTF, 1, cD1)) - return false; - eD1 = Buf1(g_emaBiasD1, 1); - if(eD1 <= 0.0) - return false; - if(!InpAllowCounterBias && cD1 <= eD1) - return false; - - if(InpUseWeeklyBias) - { - double cW1 = 0.0, eW1 = 0.0; - if(!CopyClose(sym, g_effHigherBiasTF, 1, cW1)) - return false; - eW1 = Buf1(g_emaBiasW1, 1); - if(eW1 <= 0.0) - return false; - if(cW1 <= eW1) - return false; - } - return true; -} - -int CountConsecutiveBearishEma(const string sym, const int fromShift, const int maxLookback) -{ - double f[], s[]; - ArraySetAsSeries(f, true); - ArraySetAsSeries(s, true); - int need = maxLookback + fromShift; - if(CopyBuffer(g_emaFastSig, 0, 0, need, f) < need) - return 0; - if(CopyBuffer(g_emaSlowSig, 0, 0, need, s) < need) - return 0; - - int n = 0; - for(int i = fromShift; i < fromShift + maxLookback; i++) - { - if(f[i] <= s[i]) - n++; - else - break; - } - return n; -} - -bool BullishCrossOnLastClosedBar(const string sym) -{ - double f1 = Buf1(g_emaFastSig, 1); - double s1 = Buf1(g_emaSlowSig, 1); - double f2 = Buf1(g_emaFastSig, 2); - double s2 = Buf1(g_emaSlowSig, 2); - if(f1 <= 0.0 || s1 <= 0.0 || f2 <= 0.0 || s2 <= 0.0) - return false; - - bool crossedUp = (f1 > s1 && f2 <= s2); - if(!crossedUp) - return false; - - int bearStreak = CountConsecutiveBearishEma(sym, 2, 32); - if(bearStreak < InpMinBearishBars) - return false; - - if(InpRequireBullBody) - { - MqlRates r[]; - ArraySetAsSeries(r, true); - if(CopyRates(sym, g_effSignalTF, 1, 1, r) != 1) - return false; - if(r[0].close <= r[0].open) - return false; - } - return true; -} - -double NormalizeVolumeLots(const string sym, double lots) -{ - double minLot = SymbolInfoDouble(sym, SYMBOL_VOLUME_MIN); - double maxLot = SymbolInfoDouble(sym, SYMBOL_VOLUME_MAX); - double step = SymbolInfoDouble(sym, SYMBOL_VOLUME_STEP); - if(step > 0.0) - lots = MathFloor(lots / step) * step; - if(lots < minLot) - lots = minLot; - if(lots > maxLot) - lots = maxLot; - return lots; -} - -int CountOurPositions(const string sym) -{ - int total = 0; - for(int i = PositionsTotal() - 1; i >= 0; i--) - { - ulong ticket = PositionGetTicket(i); - if(ticket == 0 || !PositionSelectByTicket(ticket)) - continue; - if(PositionGetString(POSITION_SYMBOL) != sym) - continue; - if((int)PositionGetInteger(POSITION_MAGIC) != InpMagic) - continue; - total++; - } - return total; -} - -bool SpreadOk(const string sym) -{ - long spreadPts = SymbolInfoInteger(sym, SYMBOL_SPREAD); - return ((double)spreadPts <= (double)InpMaxSpreadPoints); -} - -void ComputeStopsBuy(const string sym, const double entry, double &sl, double &tp) -{ - double ptsSl = InpMinStopPoints; - double ptsTp = InpMinStopPoints * 2.0; - if(InpUseAtrStops && g_atrSig != INVALID_HANDLE) - { - double atr = Buf1(g_atrSig, 1); - if(atr > 0.0) - { - double atrPts = atr / SymbolInfoDouble(sym, SYMBOL_POINT); - ptsSl = MathMax(atrPts * InpSlAtrMult, InpMinStopPoints); - ptsTp = MathMax(atrPts * InpTpAtrMult, InpMinStopPoints); - } - } - double p = SymbolInfoDouble(sym, SYMBOL_POINT); - sl = entry - ptsSl * p; - tp = entry + ptsTp * p; - - long stopsLevel = SymbolInfoInteger(sym, SYMBOL_TRADE_STOPS_LEVEL); - double minDist = (double)stopsLevel * p; - if(minDist > 0.0) - { - if(entry - sl < minDist) - sl = entry - minDist; - if(tp - entry < minDist) - tp = entry + minDist; - } - int dg = (int)SymbolInfoInteger(sym, SYMBOL_DIGITS); - sl = NormalizeDouble(sl, dg); - tp = NormalizeDouble(tp, dg); -} - -int OnInit() -{ - string sym = WorkSymbol(); - if(!SymbolSelect(sym, true)) - { - Print("TFXNZDUSD: symbol not available: ", sym); - return INIT_FAILED; - } - - g_effBiasTF = NearestStandardTf(InpBiasTF); - g_effHigherBiasTF = NearestStandardTf(InpHigherBiasTF); - g_effSignalTF = NearestStandardTf(InpSignalTF); - if(g_effBiasTF != InpBiasTF || g_effHigherBiasTF != InpHigherBiasTF || g_effSignalTF != InpSignalTF) - Print("TFXNZDUSD: resolved TFs — bias ", EnumToString(g_effBiasTF), " (in ", (long)InpBiasTF, ")", - " W1 ", EnumToString(g_effHigherBiasTF), " (in ", (long)InpHigherBiasTF, ")", - " signal ", EnumToString(g_effSignalTF), " (in ", (long)InpSignalTF, ")"); - - if(InpBiasEmaPeriod < 1 || InpFastEma < 1 || InpSlowEma < 1 || InpAtrPeriod < 1) - { - Print("TFXNZDUSD: EMA/ATR period must be >= 1"); - return INIT_PARAMETERS_INCORRECT; - } - - g_trade.SetExpertMagicNumber(InpMagic); - g_trade.SetDeviationInPoints(InpSlippagePoints); - g_trade.SetTypeFillingBySymbol(sym); - - g_emaBiasD1 = iMA(sym, g_effBiasTF, InpBiasEmaPeriod, 0, MODE_EMA, PRICE_CLOSE); - g_emaBiasW1 = iMA(sym, g_effHigherBiasTF, InpBiasEmaPeriod, 0, MODE_EMA, PRICE_CLOSE); - g_emaFastSig = iMA(sym, g_effSignalTF, InpFastEma, 0, MODE_EMA, PRICE_CLOSE); - g_emaSlowSig = iMA(sym, g_effSignalTF, InpSlowEma, 0, MODE_EMA, PRICE_CLOSE); - g_atrSig = iATR(sym, g_effSignalTF, InpAtrPeriod); - - if(g_emaBiasD1 == INVALID_HANDLE || g_emaFastSig == INVALID_HANDLE || g_emaSlowSig == INVALID_HANDLE || - g_atrSig == INVALID_HANDLE) - { - Print("TFXNZDUSD: indicator init failed — check InpBiasTF/InpHigherBiasTF/InpSignalTF & symbol history"); - return INIT_FAILED; - } - if(InpUseWeeklyBias && g_emaBiasW1 == INVALID_HANDLE) - { - Print("TFXNZDUSD: W1 bias handle failed"); - return INIT_FAILED; - } - - Print("TFXNZDUSD: ", sym, " eff TFs: bias=", EnumToString(g_effBiasTF), " higher=", EnumToString(g_effHigherBiasTF), - " signal=", EnumToString(g_effSignalTF)); - return INIT_SUCCEEDED; -} - -void OnDeinit(const int reason) -{ - if(g_emaBiasD1 != INVALID_HANDLE) IndicatorRelease(g_emaBiasD1); - if(g_emaBiasW1 != INVALID_HANDLE) IndicatorRelease(g_emaBiasW1); - if(g_emaFastSig != INVALID_HANDLE) IndicatorRelease(g_emaFastSig); - if(g_emaSlowSig != INVALID_HANDLE) IndicatorRelease(g_emaSlowSig); - if(g_atrSig != INVALID_HANDLE) IndicatorRelease(g_atrSig); -} - -void OnTick() -{ - string sym = WorkSymbol(); - datetime barOpen = iTime(sym, g_effSignalTF, 0); - if(barOpen == 0) - return; - if(barOpen == g_lastSignalBar) - return; - - datetime prevBar = iTime(sym, g_effSignalTF, 1); - if(prevBar == 0) - return; - - g_lastSignalBar = barOpen; - - if(!SessionOk()) - return; - if(!SpreadOk(sym)) - return; - - if(CountOurPositions(sym) >= InpMaxPositions) - return; - - if(!HtfLongBias(sym)) - return; - - if(!BullishCrossOnLastClosedBar(sym)) - return; - - MqlTick tick; - if(!SymbolInfoTick(sym, tick)) - return; - - double lots = NormalizeVolumeLots(sym, InpLots); - double sl = 0.0, tp = 0.0; - ComputeStopsBuy(sym, tick.ask, sl, tp); - - if(!g_trade.Buy(lots, sym, tick.ask, sl, tp, "TFX NZDUSD shift")) - Print("TFXNZDUSD Buy failed ret=", g_trade.ResultRetcode(), " ", g_trade.ResultRetcodeDescription()); -} - -//+------------------------------------------------------------------+ diff --git a/lab/EAs/TFXNZDUSD_Genetic_Optimization.set b/lab/EAs/TFXNZDUSD_Genetic_Optimization.set deleted file mode 100644 index 633c283..0000000 --- a/lab/EAs/TFXNZDUSD_Genetic_Optimization.set +++ /dev/null @@ -1,42 +0,0 @@ -; saved for genetic optimization — TFXNZDUSD.mq5 (Strategy Tester → Inputs → Load) -; Repo format: Parameter=Value||Step||Min||Max||Optimize(Y/N) -; ENUM_TIMEFRAMES: H1=16385, H4=16388, D1=16408, W1=32769 -; Do NOT optimize InpSignalTF as Min–Max integers — MT5 genetic samples invalid values (e.g. 16386) -; between real enums and OnInit fails. Compare H1 vs H4 in separate runs, or rely on EA TF resolution. - -; === Symbol === -; String inputs: use bare name OR Value||Value||Value||Value||N — never use 0 as middle field (MT5 may feed the whole line into the string). -InpSymbol=NZDUSD - -; === Timeframes (thesis) === -InpBiasTF=16408||0||16408||16408||N -InpHigherBiasTF=32769||0||32769||32769||N -InpSignalTF=16388||0||16388||16388||N - -; === HTF bias (long-only, reactive) === -InpUseWeeklyBias=true||false||0||true||N -InpBiasEmaPeriod=50||2||34||120||Y -InpAllowCounterBias=false||false||0||true||N - -; === Intraday shift (bearish → bullish) === -InpFastEma=8||1||5||34||Y -InpSlowEma=21||2||15||55||Y -InpMinBearishBars=3||1||2||10||Y -InpRequireBullBody=true||false||0||true||N - -; === Risk === -InpLots=0.1||0.01||0.1||0.1||N -InpMagic=926001||0||926001||926001||N -InpSlippagePoints=20||0||20||20||N -InpMaxSpreadPoints=40||5||20||60||Y -InpUseAtrStops=true||false||0||true||N -InpAtrPeriod=14||1||7||28||Y -InpSlAtrMult=1.5||0.1||1.0||3.5||Y -InpTpAtrMult=2.5||0.2||1.5||5.0||Y -InpMinStopPoints=50.0||5.0||30.0||120.0||Y -InpMaxPositions=1||0||1||1||N - -; === Session (optional) === -InpUseSessionFilter=false||false||0||true||N -InpSessionStartHour=7||0||7||7||N -InpSessionEndHour=20||0||20||20||N diff --git a/lab/EAs/TFXXAUUSDScalper.mq5 b/lab/EAs/TFXXAUUSDScalper.mq5 deleted file mode 100644 index c029180..0000000 --- a/lab/EAs/TFXXAUUSDScalper.mq5 +++ /dev/null @@ -1,367 +0,0 @@ -//+------------------------------------------------------------------+ -//| TFXXAUUSDScalper.mq5 | -//| Gold (XAUUSD) Donchian breakout scalper — momentum / range | -//| breakout style suited to impulse-or-consolidate dynamics. | -//+------------------------------------------------------------------+ -#property copyright "Lab" -#property link "" -#property version "1.00" -#property description "Donchian channel breakout on XAUUSD; optional consolidation filter; percent-risk or fixed lots." - -#include - -input group "=== Instrument ===" -input string InpSymbol = "XAUUSD"; - -input group "=== Session ===" -input ENUM_TIMEFRAMES InpSignalTF = PERIOD_M5; -input bool InpUseSessionFilter = false; -input int InpSessionStartHour = 7; -input int InpSessionEndHour = 22; - -input group "=== Donchian breakout ===" -input int InpDonchianPeriod = 20; // Lookback for channel high/low (past bars exclude signal bar) -input bool InpRequireFreshBreak = true; // Close[2] inside prior upper/lower band (no churn) -input bool InpTradeLong = true; -input bool InpTradeShort = true; - -input group "=== Consolidation filter (horizontal → breakout) ===" -input bool InpUseNarrowChannelFilter = false; -input double InpMaxChannelWidthAtrMult = 3.0; // Upper-Lower <= this * ATR(shift 2) - -input group "=== Stops & targets (Nick-style RR) ===" -input int InpSlBufferPoints = 30; // Beyond opposite Donchian / structural low-high -input double InpTpRiskReward = 2.0; // TP distance = RR * risk distance -input bool InpUseMidStopFallback = false; // Optional tighter SL at channel mid (more aggressive) - -input group "=== Risk ===" -input bool InpUsePercentRisk = true; -input double InpRiskPercent = 1.0; // % balance per trade (video example) -input double InpFixedLots = 0.10; -input int InpMagic = 928001; -input int InpSlippagePoints = 50; -input int InpMaxSpreadPoints = 60; -input int InpMaxPositions = 1; - -input group "=== Indicators ===" -input int InpAtrPeriod = 14; - -CTrade g_trade; - -int g_atr = INVALID_HANDLE; -datetime g_lastBar = 0; - -string WorkSymbol() -{ - string s = InpSymbol; - StringTrimLeft(s); - StringTrimRight(s); - const int bar = StringFind(s, "|"); - if(bar >= 0) - s = StringSubstr(s, 0, bar); - StringTrimRight(s); - return (StringLen(s) > 0 ? s : _Symbol); -} - -bool SessionOk() -{ - if(!InpUseSessionFilter) - return true; - MqlDateTime dt; - TimeToStruct(TimeCurrent(), dt); - const int h = dt.hour; - if(InpSessionStartHour <= InpSessionEndHour) - return (h >= InpSessionStartHour && h < InpSessionEndHour); - return (h >= InpSessionStartHour || h < InpSessionEndHour); -} - -double DonchianUpper(const string sym, const ENUM_TIMEFRAMES tf, const int period, const int shiftAnchor) -{ - if(period < 1) - return 0.0; - double mx = -DBL_MAX; - for(int i = shiftAnchor + 1; i <= shiftAnchor + period; i++) - { - const double hi = iHigh(sym, tf, i); - if(hi > mx) - mx = hi; - } - return mx; -} - -double DonchianLower(const string sym, const ENUM_TIMEFRAMES tf, const int period, const int shiftAnchor) -{ - if(period < 1) - return 0.0; - double mn = DBL_MAX; - for(int i = shiftAnchor + 1; i <= shiftAnchor + period; i++) - { - const double lo = iLow(sym, tf, i); - if(lo < mn) - mn = lo; - } - return mn; -} - -double AtrAt(const int shift) -{ - double b[]; - ArraySetAsSeries(b, true); - if(g_atr == INVALID_HANDLE || CopyBuffer(g_atr, 0, shift, 1, b) != 1) - return 0.0; - return b[0]; -} - -double NormalizeLots(const string sym, double lots) -{ - double mn = SymbolInfoDouble(sym, SYMBOL_VOLUME_MIN); - double mx = SymbolInfoDouble(sym, SYMBOL_VOLUME_MAX); - double st = SymbolInfoDouble(sym, SYMBOL_VOLUME_STEP); - if(st > 0.0) - lots = MathFloor(lots / st) * st; - if(lots < mn) - lots = mn; - if(lots > mx) - lots = mx; - return lots; -} - -bool MoneyPerLotAtSl(const string sym, const ENUM_ORDER_TYPE type, const double openPrice, const double slPrice, double &lossPerLot) -{ - lossPerLot = 0.0; - double p = 0.0; - if(!OrderCalcProfit(type, sym, 1.0, openPrice, slPrice, p)) - return false; - lossPerLot = MathAbs(p); - return (lossPerLot > 0.0); -} - -double LotsFromPercentRisk(const string sym, const ENUM_ORDER_TYPE type, const double openPrice, const double slPrice) -{ - double perLotLoss = 0.0; - if(!MoneyPerLotAtSl(sym, type, openPrice, slPrice, perLotLoss)) - return InpFixedLots; - - const double balance = AccountInfoDouble(ACCOUNT_BALANCE); - const double riskMoney = balance * (InpRiskPercent / 100.0); - if(riskMoney <= 0.0 || perLotLoss <= 0.0) - return NormalizeLots(sym, InpFixedLots); - - double lots = riskMoney / perLotLoss; - return NormalizeLots(sym, lots); -} - -bool SpreadOk(const string sym) -{ - const long sp = SymbolInfoInteger(sym, SYMBOL_SPREAD); - return ((double)sp <= (double)InpMaxSpreadPoints); -} - -int CountMagicPositions(const string sym) -{ - int n = 0; - for(int i = PositionsTotal() - 1; i >= 0; i--) - { - const ulong t = PositionGetTicket(i); - if(t == 0 || !PositionSelectByTicket(t)) - continue; - if(PositionGetString(POSITION_SYMBOL) != sym) - continue; - if((int)PositionGetInteger(POSITION_MAGIC) != InpMagic) - continue; - n++; - } - return n; -} - -void BuildStopsBuy(const string sym, const double entry, const double upperD1, const double lowerD1, - double &sl, double &tp) -{ - const double pt = SymbolInfoDouble(sym, SYMBOL_POINT); - const double buf = (double)InpSlBufferPoints * pt; - double riskDist = entry - (lowerD1 - buf); - sl = lowerD1 - buf; - - if(InpUseMidStopFallback) - { - const double mid = (upperD1 + lowerD1) * 0.5; - const double distMid = entry - mid; - if(distMid > 0 && distMid < riskDist) - { - sl = mid - buf; - riskDist = entry - sl; - } - } - - const long lvl = SymbolInfoInteger(sym, SYMBOL_TRADE_STOPS_LEVEL); - const double minD = (double)lvl * pt; - if(minD > 0.0 && entry - sl < minD) - sl = entry - minD; - - riskDist = entry - sl; - tp = entry + riskDist * InpTpRiskReward; - - if(minD > 0.0 && tp - entry < minD) - tp = entry + minD; - - const int dg = (int)SymbolInfoInteger(sym, SYMBOL_DIGITS); - sl = NormalizeDouble(sl, dg); - tp = NormalizeDouble(tp, dg); -} - -void BuildStopsSell(const string sym, const double entry, const double upperD1, const double lowerD1, - double &sl, double &tp) -{ - const double pt = SymbolInfoDouble(sym, SYMBOL_POINT); - const double buf = (double)InpSlBufferPoints * pt; - double riskDist = (upperD1 + buf) - entry; - sl = upperD1 + buf; - - if(InpUseMidStopFallback) - { - const double mid = (upperD1 + lowerD1) * 0.5; - const double distMid = mid - entry; - if(distMid > 0 && distMid < riskDist) - { - sl = mid + buf; - riskDist = sl - entry; - } - } - - const long lvl = SymbolInfoInteger(sym, SYMBOL_TRADE_STOPS_LEVEL); - const double minD = (double)lvl * pt; - if(minD > 0.0 && sl - entry < minD) - sl = entry + minD; - - riskDist = sl - entry; - tp = entry - riskDist * InpTpRiskReward; - - if(minD > 0.0 && entry - tp < minD) - tp = entry - minD; - - const int dg = (int)SymbolInfoInteger(sym, SYMBOL_DIGITS); - sl = NormalizeDouble(sl, dg); - tp = NormalizeDouble(tp, dg); -} - -bool NarrowChannelOk(const string sym, const ENUM_TIMEFRAMES tf, const int period) -{ - if(!InpUseNarrowChannelFilter) - return true; - const double up = DonchianUpper(sym, tf, period, 2); - const double lo = DonchianLower(sym, tf, period, 2); - const double atr = AtrAt(2); - if(up <= 0 || lo <= 0 || atr <= 0) - return false; - const double width = up - lo; - return (width <= atr * InpMaxChannelWidthAtrMult); -} - -int OnInit() -{ - const string sym = WorkSymbol(); - if(!SymbolSelect(sym, true)) - { - Print("TFXXAUUSDScalper: symbol not available: ", sym); - return INIT_FAILED; - } - if(InpDonchianPeriod < 2) - { - Print("TFXXAUUSDScalper: InpDonchianPeriod must be >= 2"); - return INIT_PARAMETERS_INCORRECT; - } - - g_trade.SetExpertMagicNumber(InpMagic); - g_trade.SetDeviationInPoints(InpSlippagePoints); - g_trade.SetTypeFillingBySymbol(sym); - - g_atr = iATR(sym, InpSignalTF, InpAtrPeriod); - if(g_atr == INVALID_HANDLE) - { - Print("TFXXAUUSDScalper: ATR init failed"); - return INIT_FAILED; - } - - Print("TFXXAUUSDScalper: ", sym, " ", EnumToString(InpSignalTF), - " Donchian=", InpDonchianPeriod, " RR=", InpTpRiskReward, - " risk%=", (InpUsePercentRisk ? DoubleToString(InpRiskPercent, 2) : "off")); - return INIT_SUCCEEDED; -} - -void OnDeinit(const int reason) -{ - if(g_atr != INVALID_HANDLE) - IndicatorRelease(g_atr); - g_atr = INVALID_HANDLE; -} - -void OnTick() -{ - const string sym = WorkSymbol(); - const datetime t0 = iTime(sym, InpSignalTF, 0); - if(t0 == 0 || t0 == g_lastBar) - return; - g_lastBar = t0; - - if(!SessionOk() || !SpreadOk(sym)) - return; - if(CountMagicPositions(sym) >= InpMaxPositions) - return; - - const int p = InpDonchianPeriod; - const double c1 = iClose(sym, InpSignalTF, 1); - const double c2 = iClose(sym, InpSignalTF, 2); - if(c1 <= 0.0 || c2 <= 0.0) - return; - - const double up1 = DonchianUpper(sym, InpSignalTF, p, 1); - const double lo1 = DonchianLower(sym, InpSignalTF, p, 1); - const double up2 = DonchianUpper(sym, InpSignalTF, p, 2); - const double lo2 = DonchianLower(sym, InpSignalTF, p, 2); - - if(up1 <= 0 || lo1 <= 0 || up2 <= 0 || lo2 <= 0) - return; - - if(!NarrowChannelOk(sym, InpSignalTF, p)) - return; - - bool longSig = InpTradeLong && (c1 > up1); - bool shortSig = InpTradeShort && (c1 < lo1); - - if(InpRequireFreshBreak) - { - longSig = longSig && (c2 <= up2); - shortSig = shortSig && (c2 >= lo2); - } - - if(!longSig && !shortSig) - return; - - MqlTick tick; - if(!SymbolInfoTick(sym, tick)) - return; - - if(longSig && !shortSig) - { - double sl = 0.0, tp = 0.0; - BuildStopsBuy(sym, tick.ask, up1, lo1, sl, tp); - const double lots = InpUsePercentRisk ? LotsFromPercentRisk(sym, ORDER_TYPE_BUY, tick.ask, sl) : NormalizeLots(sym, InpFixedLots); - if(!g_trade.Buy(lots, sym, tick.ask, sl, tp, "TFX Gold Donchian↑")) - Print("Buy failed ", g_trade.ResultRetcode(), " ", g_trade.ResultRetcodeDescription()); - return; - } - - if(shortSig && !longSig) - { - double sl = 0.0, tp = 0.0; - BuildStopsSell(sym, tick.bid, up1, lo1, sl, tp); - const double lots = InpUsePercentRisk ? LotsFromPercentRisk(sym, ORDER_TYPE_SELL, tick.bid, sl) : NormalizeLots(sym, InpFixedLots); - if(!g_trade.Sell(lots, sym, tick.bid, sl, tp, "TFX Gold Donchian↓")) - Print("Sell failed ", g_trade.ResultRetcode(), " ", g_trade.ResultRetcodeDescription()); - return; - } - - // Bothtrue — rare; skip to avoid ambiguous execution -} - -//+------------------------------------------------------------------+ diff --git a/lab/EAs/TFXXAUUSDScalper_Genetic_Optimization.set b/lab/EAs/TFXXAUUSDScalper_Genetic_Optimization.set deleted file mode 100644 index a1dc8cf..0000000 --- a/lab/EAs/TFXXAUUSDScalper_Genetic_Optimization.set +++ /dev/null @@ -1,44 +0,0 @@ -; TFXXAUUSDScalper.mq5 — Strategy Tester → Inputs → Load (Genetic optimization) -; Format: Parameter=Value||Step||Min||Max||Optimize(Y/N) -; -; ENUM_TIMEFRAMES (MT5): M1=1 M5=5 M15=15 M30=30 H1=16385 H4=16388 D1=16408 -; Keep InpSignalTF fixed (single integer). Do not use Min–Max sweeps on enums — genetic -; often tries invalid values between named periods and OnInit fails. -; -; Baseline aligned with Desktop 123.set (2026.05.08); magic corrected to 928001 (EA default). - -; === Instrument === -InpSymbol=XAUUSD - -; === Session === -InpSignalTF=5||0||5||5||N -InpUseSessionFilter=false||false||0||true||N -InpSessionStartHour=7||0||7||7||N -InpSessionEndHour=22||0||22||22||N - -; === Donchian breakout === -InpDonchianPeriod=20||2||10||80||Y -InpRequireFreshBreak=true||false||0||true||N -InpTradeLong=true||false||0||true||N -InpTradeShort=true||false||0||true||N - -; === Consolidation filter (horizontal → breakout) === -InpUseNarrowChannelFilter=false||false||0||true||N -InpMaxChannelWidthAtrMult=3.0||0.5||1.5||6.0||Y - -; === Stops & targets (Nick-style RR) === -InpSlBufferPoints=30||5||10||120||Y -InpTpRiskReward=2.0||0.25||1.25||4.0||Y -InpUseMidStopFallback=false||false||0||true||N - -; === Risk === -InpUsePercentRisk=true||false||0||true||N -InpRiskPercent=1.0||0.15||0.25||2.5||Y -InpFixedLots=0.1||0.01||0.1||0.1||N -InpMagic=928001||0||928001||928001||N -InpSlippagePoints=50||0||50||50||N -InpMaxSpreadPoints=60||5||20||100||Y -InpMaxPositions=1||0||1||1||N - -; === Indicators === -InpAtrPeriod=14||1||7||28||Y diff --git a/lab/EAs/TimeSelectiveEMA.mq5 b/lab/EAs/TimeSelectiveEMA.mq5 deleted file mode 100644 index 6fb0068..0000000 --- a/lab/EAs/TimeSelectiveEMA.mq5 +++ /dev/null @@ -1,342 +0,0 @@ -//+------------------------------------------------------------------+ -//| TimeSelectiveEMA.mq5 | -//| Copyright 2025, MetaQuotes Ltd. | -//| https://www.mql5.com | -//+------------------------------------------------------------------+ -#property copyright "Copyright 2025, MetaQuotes Ltd." -#property link "https://www.mql5.com" -#property version "1.00" -#property description "EMA Crossover EA for EURUSD with Trading Hours Filter" -#property description "Minimizes loss by trading only during optimal hours" - -#include - -//--- Input parameters -input group "Timeframe Settings" -input ENUM_TIMEFRAMES InpTimeframe = PERIOD_M15; // Trading Timeframe - -input group "EMA Settings" -input int InpFastEMA = 12; // Fast EMA Period -input int InpSlowEMA = 26; // Slow EMA Period - -input group "Trading Hours (Server Time)" -input int InpStartHour = 8; // Trading Start Hour (0-23) -input int InpEndHour = 18; // Trading End Hour (0-23) -input bool InpUseTimeFilter = true; // Use Trading Hours Filter - -input group "Risk Management" -input double InpLotSize = 0.01; // Lot Size -input int InpMagicNumber = 789012; // Magic Number -input int InpSlippage = 3; // Slippage (points) -input bool InpUseRecrossExit = true; // Use EMA Recross as Exit (No SL/TP) - -input group "Loss Minimization" -input bool InpUseMaxDailyLoss = true; // Use Max Daily Loss -input double InpMaxDailyLoss = 50.0; // Max Daily Loss (USD) - -//--- Global variables -CTrade trade; -int fast_ema_handle; -int slow_ema_handle; -datetime last_bar_time = 0; -double daily_profit = 0.0; -datetime last_daily_reset = 0; -double last_profit = 0.0; - -//+------------------------------------------------------------------+ -//| Expert initialization function | -//+------------------------------------------------------------------+ -int OnInit() -{ - // Check symbol - if(_Symbol != "EURUSD" && _Symbol != "EURUSD#") - { - Alert("This EA is designed for EURUSD only. Current symbol: ", _Symbol); - return(INIT_FAILED); - } - - // Set trade parameters - trade.SetExpertMagicNumber(InpMagicNumber); - trade.SetDeviationInPoints(InpSlippage); - trade.SetTypeFilling(ORDER_FILLING_FOK); - - // Create EMA indicators on specified timeframe - fast_ema_handle = iMA(_Symbol, InpTimeframe, InpFastEMA, 0, MODE_EMA, PRICE_CLOSE); - slow_ema_handle = iMA(_Symbol, InpTimeframe, InpSlowEMA, 0, MODE_EMA, PRICE_CLOSE); - - if(fast_ema_handle == INVALID_HANDLE || slow_ema_handle == INVALID_HANDLE) - { - Print("ERROR: Failed to create EMA indicators"); - return(INIT_FAILED); - } - - // Initialize daily tracking - last_daily_reset = TimeCurrent(); - daily_profit = 0.0; - - Print("TimeSelectiveEMA EA initialized for ", _Symbol); - Print("Timeframe: ", EnumToString(InpTimeframe)); - Print("Trading Hours: ", InpStartHour, ":00 - ", InpEndHour, ":00 (Server Time)"); - Print("EMA Crossover: Fast=", InpFastEMA, " Slow=", InpSlowEMA); - - return(INIT_SUCCEEDED); -} - -//+------------------------------------------------------------------+ -//| Expert deinitialization function | -//+------------------------------------------------------------------+ -void OnDeinit(const int reason) -{ - // Release indicators - if(fast_ema_handle != INVALID_HANDLE) - IndicatorRelease(fast_ema_handle); - if(slow_ema_handle != INVALID_HANDLE) - IndicatorRelease(slow_ema_handle); -} - -//+------------------------------------------------------------------+ -//| Expert tick function | -//+------------------------------------------------------------------+ -void OnTick() -{ - // Check if new bar on the specified timeframe - datetime current_bar_time = iTime(_Symbol, InpTimeframe, 0); - if(current_bar_time == last_bar_time) - { - // Still same bar - only manage existing positions - ManagePosition(); - return; - } - last_bar_time = current_bar_time; - - // Reset daily profit and consecutive losses at midnight - MqlDateTime dt; - TimeToStruct(TimeCurrent(), dt); - MqlDateTime last_dt; - TimeToStruct(last_daily_reset, last_dt); - - // Check if new day (day, month, or year changed) - bool is_new_day = (dt.day != last_dt.day || dt.month != last_dt.month || dt.year != last_dt.year); - - if(is_new_day) - { - // New day - reset daily profit - daily_profit = 0.0; - last_daily_reset = TimeCurrent(); - Print("Daily reset: New trading day started. Daily profit reset to 0."); - } - - // Check daily loss limit - if(InpUseMaxDailyLoss && daily_profit <= -InpMaxDailyLoss) - { - Print("Daily loss limit reached: ", daily_profit, " USD. Trading stopped for today."); - return; - } - - // Check trading hours - if(InpUseTimeFilter && !IsWithinTradingHours()) - { - return; // Outside trading hours - } - - // Get EMA values - double fast_ema[], slow_ema[]; - ArraySetAsSeries(fast_ema, true); - ArraySetAsSeries(slow_ema, true); - - if(CopyBuffer(fast_ema_handle, 0, 0, 3, fast_ema) < 3 || - CopyBuffer(slow_ema_handle, 0, 0, 3, slow_ema) < 3) - { - Print("ERROR: Failed to copy EMA buffers"); - return; - } - - // Check for crossover signals - bool bullish_cross = false; - bool bearish_cross = false; - - // Bullish: Fast EMA crosses above Slow EMA - if(fast_ema[1] > slow_ema[1] && fast_ema[2] <= slow_ema[2]) - { - bullish_cross = true; - } - - // Bearish: Fast EMA crosses below Slow EMA - if(fast_ema[1] < slow_ema[1] && fast_ema[2] >= slow_ema[2]) - { - bearish_cross = true; - } - - // Check existing position - if(PositionSelect(_Symbol)) - { - // Check for recross (opposite signal) - this is the exit signal - long position_type = PositionGetInteger(POSITION_TYPE); - if(InpUseRecrossExit) - { - if(position_type == POSITION_TYPE_BUY && bearish_cross) - { - // Close long position on bearish recross (Fast EMA crosses below Slow EMA) - if(trade.PositionClose(_Symbol)) - { - Print("Position closed due to bearish recross (Fast EMA crossed below Slow EMA)"); - } - } - else if(position_type == POSITION_TYPE_SELL && bullish_cross) - { - // Close short position on bullish recross (Fast EMA crosses above Slow EMA) - if(trade.PositionClose(_Symbol)) - { - Print("Position closed due to bullish recross (Fast EMA crossed above Slow EMA)"); - } - } - } - - // Manage existing position (trailing stop, break-even if enabled) - ManagePosition(); - } - else - { - // No position - check for new entry - if(bullish_cross) - { - OpenBuyPosition(); - } - else if(bearish_cross) - { - OpenSellPosition(); - } - } -} - -//+------------------------------------------------------------------+ -//| Check if current time is within trading hours | -//+------------------------------------------------------------------+ -bool IsWithinTradingHours() -{ - MqlDateTime dt; - TimeToStruct(TimeCurrent(), dt); - int current_hour = dt.hour; - - // Handle case where end hour is before start hour (overnight) - if(InpEndHour < InpStartHour) - { - return (current_hour >= InpStartHour || current_hour < InpEndHour); - } - else - { - return (current_hour >= InpStartHour && current_hour < InpEndHour); - } -} - -//+------------------------------------------------------------------+ -//| Open buy position | -//+------------------------------------------------------------------+ -void OpenBuyPosition() -{ - double price = SymbolInfoDouble(_Symbol, SYMBOL_ASK); - - // No SL/TP - exit only on EMA recross - if(trade.Buy(InpLotSize, _Symbol, price, 0, 0, "EMA Crossover Buy")) - { - Print("Buy order opened at ", price, " (Exit on bearish recross)"); - } - else - { - Print("Failed to open buy order: ", trade.ResultRetcodeDescription()); - } -} - -//+------------------------------------------------------------------+ -//| Open sell position | -//+------------------------------------------------------------------+ -void OpenSellPosition() -{ - double price = SymbolInfoDouble(_Symbol, SYMBOL_BID); - - // No SL/TP - exit only on EMA recross - if(trade.Sell(InpLotSize, _Symbol, price, 0, 0, "EMA Crossover Sell")) - { - Print("Sell order opened at ", price, " (Exit on bullish recross)"); - } - else - { - Print("Failed to open sell order: ", trade.ResultRetcodeDescription()); - } -} - -//+------------------------------------------------------------------+ -//| Manage existing position | -//+------------------------------------------------------------------+ -void ManagePosition() -{ - if(!PositionSelect(_Symbol)) - return; - - // Update daily profit - double current_profit = PositionGetDouble(POSITION_PROFIT); - if(current_profit != last_profit) - { - daily_profit += (current_profit - last_profit); - last_profit = current_profit; - } - - // Position management: Only track profit/loss - // Exit is handled by EMA recross signal in OnTick() -} - -//+------------------------------------------------------------------+ -//| Apply trailing stop (disabled - using recross exit only) | -//+------------------------------------------------------------------+ -void ApplyTrailingStop() -{ - // Trailing stop disabled - using EMA recross as exit signal only - // This function kept for compatibility but does nothing - return; -} - -//+------------------------------------------------------------------+ -//| Move stop loss to break-even (disabled - using recross exit only)| -//+------------------------------------------------------------------+ -void MoveToBreakEven() -{ - // Break-even disabled - using EMA recross as exit signal only - // This function kept for compatibility but does nothing - return; -} - -//+------------------------------------------------------------------+ -//| Trade transaction event handler | -//+------------------------------------------------------------------+ -void OnTradeTransaction(const MqlTradeTransaction& trans, - const MqlTradeRequest& request, - const MqlTradeResult& result) -{ - // Track daily profit only (consecutive losses feature removed) - if(trans.type == TRADE_TRANSACTION_DEAL_ADD) - { - if(HistoryDealSelect(trans.deal)) - { - long deal_type = HistoryDealGetInteger(trans.deal, DEAL_TYPE); - if(deal_type == DEAL_TYPE_BALANCE || deal_type == DEAL_TYPE_COMMISSION) - return; - - // Check if deal is from current day - datetime deal_time = (datetime)HistoryDealGetInteger(trans.deal, DEAL_TIME); - MqlDateTime deal_dt, current_dt; - TimeToStruct(deal_time, deal_dt); - TimeToStruct(TimeCurrent(), current_dt); - - // Only process deals from current day - bool is_current_day = (deal_dt.day == current_dt.day && - deal_dt.month == current_dt.month && - deal_dt.year == current_dt.year); - - if(is_current_day) - { - double deal_profit = HistoryDealGetDouble(trans.deal, DEAL_PROFIT); - // Daily profit is tracked in ManagePosition() - } - } - } -} diff --git a/lab/EAs/USDCHF.mq5 b/lab/EAs/USDCHF.mq5 new file mode 100644 index 0000000..aff2e11 --- /dev/null +++ b/lab/EAs/USDCHF.mq5 @@ -0,0 +1,700 @@ +//+------------------------------------------------------------------+ +//| USDCHF Playbook — six behavioral rules (momentum, traps, zones) | +//+------------------------------------------------------------------+ +#property copyright "lab/USDCHF" +#property version "1.20" +#property strict + +#include + +input group "=== Symbol / TF ===" +input ENUM_TIMEFRAMES Timeframe = PERIOD_M15; +input ENUM_TIMEFRAMES HtfTimeframe = PERIOD_H4; +input ENUM_TIMEFRAMES DailyTimeframe = PERIOD_D1; +input int MagicNumber = 20260625; + +input group "=== Daily swing bias (rule 6) ===" +input bool UseDailyBias = true; +input int DailyEmaPeriod = 50; + +input group "=== HTF zones (rule 3) ===" +input int HtfZoneBars = 20; +input double MinBreakBodyRatio = 0.55; + +input group "=== Double trap (rule 2) ===" +input bool UseDoubleTrap = true; + +input group "=== Session (rules 1 & 4) ===" +input int NyChaosStartHour = 12; +input int NyChaosEndHour = 15; +input int MomentumStartHour = 15; +input int MomentumEndHour = 2; + +input group "=== LTF entry ===" +input int LtfFastEma = 8; +input int LtfSlowEma = 21; +input int EntryMode = 1; // 0=h4 break 1=mixed 2=trap 3=LTF momentum +input bool AllowLtfPullback = true; +input bool AllowEmaCross = true; +input double MinEmaGapPips = 0.5; + +input group "=== Risk ===" +input double LotSize = 0.10; +input int AtrPeriod = 14; +input double AtrSlMult = 1.8; +input double AtrTpMult = 4.0; +input bool UseTrailing = true; +input double TrailAtrMult = 1.2; +input int MaxBarsInTrade = 96; +input bool ExtendHoldMomentum = true; +input int CooldownBars = 1; +input int MaxSpreadPips = 8; + +input group "=== News compression (rule 5) ===" +input bool UseCompressionFilter = true; +input double CompressAtrRatio = 0.70; +input int CompressLookback = 48; +input bool UseMomentumWindow = true; + +input group "=== Combo modules (组合逻辑) ===" +input int ComboMode = 0; // 0=任一触发 1=主信号+确认 2=评分达标 +input int MinComboScore = 2; // ComboMode=2 时最少几分 +input bool AllowRsiPullback = true; +input int RsiPeriod = 14; +input double RsiBuyZone = 42.0; +input double RsiSellZone = 58.0; +input bool AllowMacdMomentum = true; +input int MacdFast = 12; +input int MacdSlow = 26; +input int MacdSignal = 9; +input bool AllowInsideBarBreak = true; +input bool AllowAsianBreakout = true; +input int AsianStartHour = 0; +input int AsianEndHour = 8; +input double AsianBreakBufferPips = 1.0; +input bool UseH1TrendFilter = true; +input int H1EmaPeriod = 50; +input bool UseAdxFilter = false; +input int AdxPeriod = 14; +input double AdxMin = 20.0; + +CTrade g_trade; +int g_fastHandle = INVALID_HANDLE; +int g_slowHandle = INVALID_HANDLE; +int g_atrHandle = INVALID_HANDLE; +int g_dailyEma = INVALID_HANDLE; +int g_rsiHandle = INVALID_HANDLE; +int g_macdHandle = INVALID_HANDLE; +int g_adxHandle = INVALID_HANDLE; +int g_h1EmaHandle = INVALID_HANDLE; +datetime g_lastBar = 0; +int g_lastEntryBar = -100000; +int g_bars = 0; +double g_trail = 0.0; + +double PipSize() +{ + double pt = SymbolInfoDouble(_Symbol, SYMBOL_POINT); + int d = (int)SymbolInfoInteger(_Symbol, SYMBOL_DIGITS); + return (d == 3 || d == 5) ? pt * 10.0 : pt; +} + +int SpreadPips() +{ + double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + if(ask <= 0 || bid <= 0) return 9999; + return (int)MathRound((ask - bid) / PipSize()); +} + +bool HourInRange(const int h, const int start, const int end) +{ + if(start == end) return true; + if(start < end) return (h >= start && h < end); + return (h >= start || h < end); +} + +bool InMomentumWindow() +{ + MqlDateTime ts; TimeToStruct(TimeCurrent(), ts); + return HourInRange(ts.hour, MomentumStartHour, MomentumEndHour); +} + +bool InNyChaos() +{ + MqlDateTime ts; TimeToStruct(TimeCurrent(), ts); + return HourInRange(ts.hour, NyChaosStartHour, NyChaosEndHour); +} + +bool SessionOk() +{ + if(InNyChaos()) return false; + if(!UseMomentumWindow) return true; + return InMomentumWindow(); +} + +bool IsNewBar() +{ + datetime t = iTime(_Symbol, Timeframe, 0); + if(t <= 0 || t == g_lastBar) return false; + g_lastBar = t; + g_bars++; + return true; +} + +bool Copy1(const int h, const int sh, const int buf, double &v) +{ + double b[1]; + if(CopyBuffer(h, buf, sh, 1, b) <= 0) return false; + v = b[0]; return true; +} + +int TfShift(const ENUM_TIMEFRAMES tf, const int ltf_sh) +{ + datetime t = iTime(_Symbol, Timeframe, ltf_sh); + if(t <= 0) return -1; + return iBarShift(_Symbol, tf, t, true); +} + +double BodyRatio(const ENUM_TIMEFRAMES tf, const int sh) +{ + double o = iOpen(_Symbol, tf, sh); + double h = iHigh(_Symbol, tf, sh); + double l = iLow(_Symbol, tf, sh); + double c = iClose(_Symbol, tf, sh); + double rng = h - l; + if(rng <= 0) return 0; + return MathAbs(c - o) / rng; +} + +bool HtfZoneAt(const int hsh, double &resistance, double &support) +{ + if(hsh < 0) return false; + resistance = -1e100; + support = 1e100; + for(int i = hsh + 1; i <= hsh + HtfZoneBars; i++) + { + double hi = iHigh(_Symbol, HtfTimeframe, i); + double lo = iLow(_Symbol, HtfTimeframe, i); + if(hi > resistance) resistance = hi; + if(lo < support) support = lo; + } + return (resistance > -1e50 && support < 1e50); +} + +int DailyBias(const int ltf_sh) +{ + if(!UseDailyBias) return 0; + int dsh = TfShift(DailyTimeframe, ltf_sh); + if(dsh < 0) return 0; + double ema, close; + if(!Copy1(g_dailyEma, dsh, 0, ema)) return 0; + close = iClose(_Symbol, DailyTimeframe, dsh); + if(close > ema) return 1; + if(close < ema) return -1; + return 0; +} + +bool HtfBullBreak(const int ltf_sh) +{ + int hsh = TfShift(HtfTimeframe, ltf_sh); + if(hsh < 0) return false; + double res, sup; + if(!HtfZoneAt(hsh + 1, res, sup)) return false; + double c = iClose(_Symbol, HtfTimeframe, hsh); + return (c > res && BodyRatio(HtfTimeframe, hsh) >= MinBreakBodyRatio); +} + +bool HtfBearBreak(const int ltf_sh) +{ + int hsh = TfShift(HtfTimeframe, ltf_sh); + if(hsh < 0) return false; + double res, sup; + if(!HtfZoneAt(hsh + 1, res, sup)) return false; + double c = iClose(_Symbol, HtfTimeframe, hsh); + return (c < sup && BodyRatio(HtfTimeframe, hsh) >= MinBreakBodyRatio); +} + +bool BullTrap(const int ltf_sh) +{ + if(!UseDoubleTrap) return false; + int hsh = TfShift(HtfTimeframe, ltf_sh); + if(hsh < 0) return false; + double res, sup; + if(!HtfZoneAt(hsh + 2, res, sup)) return false; + double hi = iHigh(_Symbol, HtfTimeframe, hsh + 1); + double cl = iClose(_Symbol, HtfTimeframe, hsh + 1); + return (hi > res && cl < res); +} + +bool BearTrap(const int ltf_sh) +{ + if(!UseDoubleTrap) return false; + int hsh = TfShift(HtfTimeframe, ltf_sh); + if(hsh < 0) return false; + double res, sup; + if(!HtfZoneAt(hsh + 2, res, sup)) return false; + double lo = iLow(_Symbol, HtfTimeframe, hsh + 1); + double cl = iClose(_Symbol, HtfTimeframe, hsh + 1); + return (lo < sup && cl > sup); +} + +bool CompressionOk(const int sh) +{ + if(!UseCompressionFilter || !InNyChaos()) return true; + double atrNow, atrSum = 0; + if(!Copy1(g_atrHandle, sh, 0, atrNow)) return true; + int n = MathMin(CompressLookback, 200); + for(int i = sh; i < sh + n; i++) + { + double a; + if(!Copy1(g_atrHandle, i, 0, a)) continue; + atrSum += a; + } + double avg = atrSum / MathMax(n, 1); + if(avg <= 0) return true; + return (atrNow / avg >= CompressAtrRatio); +} + +bool PullbackLong(const int sh) +{ + double f, s, close, low; + if(!Copy1(g_fastHandle, sh, 0, f) || !Copy1(g_slowHandle, sh, 0, s)) return false; + close = iClose(_Symbol, Timeframe, sh); + low = iLow(_Symbol, Timeframe, sh); + return (f > s && low <= f && close > f); +} + +bool PullbackShort(const int sh) +{ + double f, s, close, high; + if(!Copy1(g_fastHandle, sh, 0, f) || !Copy1(g_slowHandle, sh, 0, s)) return false; + close = iClose(_Symbol, Timeframe, sh); + high = iHigh(_Symbol, Timeframe, sh); + return (f < s && high >= f && close < f); +} + +bool ReclaimLong(const int sh) +{ + int hsh = TfShift(HtfTimeframe, sh); + if(hsh < 0) return false; + double res, sup, f; + if(!HtfZoneAt(hsh + 1, res, sup)) return false; + if(!Copy1(g_fastHandle, sh, 0, f)) return false; + double c = iClose(_Symbol, Timeframe, sh); + return (BullTrap(sh) && c > res && c > f); +} + +bool ReclaimShort(const int sh) +{ + int hsh = TfShift(HtfTimeframe, sh); + if(hsh < 0) return false; + double res, sup, f; + if(!HtfZoneAt(hsh + 1, res, sup)) return false; + if(!Copy1(g_fastHandle, sh, 0, f)) return false; + double c = iClose(_Symbol, Timeframe, sh); + return (BearTrap(sh) && c < sup && c < f); +} + +bool HasOurPosition() +{ + return PositionSelect(_Symbol) && PositionGetInteger(POSITION_MAGIC) == MagicNumber; +} + +void CloseOur(const string reason) +{ + if(!HasOurPosition()) return; + if(g_trade.PositionClose((ulong)PositionGetInteger(POSITION_TICKET))) + Print("[USDCHF Playbook] close ", reason); + g_trail = 0; +} + +bool TryOpen(const bool isLong) +{ + if(HasOurPosition()) return false; + if(OneTradeBlocked()) return false; + g_trade.SetExpertMagicNumber(MagicNumber); + bool ok = isLong ? g_trade.Buy(LotSize, _Symbol) : g_trade.Sell(LotSize, _Symbol); + if(ok) + { + g_lastEntryBar = g_bars; + g_trail = 0; + Print("[USDCHF Playbook] ", isLong ? "BUY" : "SELL"); + } + return ok; +} + +bool OneTradeBlocked() +{ + if(MaxSpreadPips > 0 && SpreadPips() > MaxSpreadPips) return true; + if(g_bars - g_lastEntryBar < CooldownBars) return true; + return false; +} + +bool EmaGapOk(const int sh) +{ + if(MinEmaGapPips <= 0) return true; + double f, s; + if(!Copy1(g_fastHandle, sh, 0, f) || !Copy1(g_slowHandle, sh, 0, s)) return false; + return (MathAbs(f - s) / PipSize() >= MinEmaGapPips); +} + +bool TrendLong(const int sh) +{ + double f, s; + if(!Copy1(g_fastHandle, sh, 0, f) || !Copy1(g_slowHandle, sh, 0, s)) return false; + return (f > s); +} + +bool TrendShort(const int sh) +{ + double f, s; + if(!Copy1(g_fastHandle, sh, 0, f) || !Copy1(g_slowHandle, sh, 0, s)) return false; + return (f < s); +} + +bool EmaCrossLong(const int sh) +{ + double f1, f2, s1, s2; + if(!Copy1(g_fastHandle, sh, 0, f1) || !Copy1(g_fastHandle, sh + 1, 0, f2)) return false; + if(!Copy1(g_slowHandle, sh, 0, s1) || !Copy1(g_slowHandle, sh + 1, 0, s2)) return false; + return (f2 <= s2 && f1 > s1); +} + +bool EmaCrossShort(const int sh) +{ + double f1, f2, s1, s2; + if(!Copy1(g_fastHandle, sh, 0, f1) || !Copy1(g_fastHandle, sh + 1, 0, f2)) return false; + if(!Copy1(g_slowHandle, sh, 0, s1) || !Copy1(g_slowHandle, sh + 1, 0, s2)) return false; + return (f2 >= s2 && f1 < s1); +} + +bool LtfMomentumLong(const int sh) +{ + if(!EmaGapOk(sh)) return false; + bool pb = AllowLtfPullback && PullbackLong(sh) && TrendLong(sh); + bool x = AllowEmaCross && EmaCrossLong(sh); + return (pb || x); +} + +bool LtfMomentumShort(const int sh) +{ + if(!EmaGapOk(sh)) return false; + bool pb = AllowLtfPullback && PullbackShort(sh) && TrendShort(sh); + bool x = AllowEmaCross && EmaCrossShort(sh); + return (pb || x); +} + +bool H1TrendLong(const int sh) +{ + if(!UseH1TrendFilter) return true; + int h1sh = TfShift(PERIOD_H1, sh); + if(h1sh < 0) return false; + double ema, close; + if(!Copy1(g_h1EmaHandle, h1sh, 0, ema)) return false; + close = iClose(_Symbol, PERIOD_H1, h1sh); + return (close > ema); +} + +bool H1TrendShort(const int sh) +{ + if(!UseH1TrendFilter) return true; + int h1sh = TfShift(PERIOD_H1, sh); + if(h1sh < 0) return false; + double ema, close; + if(!Copy1(g_h1EmaHandle, h1sh, 0, ema)) return false; + close = iClose(_Symbol, PERIOD_H1, h1sh); + return (close < ema); +} + +bool AdxOk(const int sh) +{ + if(!UseAdxFilter) return true; + double adx; + if(!Copy1(g_adxHandle, sh, 0, adx)) return false; + return (adx >= AdxMin); +} + +bool RsiPullbackLong(const int sh) +{ + if(!AllowRsiPullback) return false; + double r1, r2; + if(!Copy1(g_rsiHandle, sh, 0, r1) || !Copy1(g_rsiHandle, sh + 1, 0, r2)) return false; + return (r2 <= RsiBuyZone && r1 > RsiBuyZone && TrendLong(sh)); +} + +bool RsiPullbackShort(const int sh) +{ + if(!AllowRsiPullback) return false; + double r1, r2; + if(!Copy1(g_rsiHandle, sh, 0, r1) || !Copy1(g_rsiHandle, sh + 1, 0, r2)) return false; + return (r2 >= RsiSellZone && r1 < RsiSellZone && TrendShort(sh)); +} + +bool MacdMomentumLong(const int sh) +{ + if(!AllowMacdMomentum) return false; + double h1, h2; + if(!Copy1(g_macdHandle, sh, 2, h1) || !Copy1(g_macdHandle, sh + 1, 2, h2)) return false; + return (h1 > h2 && h1 > 0); +} + +bool MacdMomentumShort(const int sh) +{ + if(!AllowMacdMomentum) return false; + double h1, h2; + if(!Copy1(g_macdHandle, sh, 2, h1) || !Copy1(g_macdHandle, sh + 1, 2, h2)) return false; + return (h1 < h2 && h1 < 0); +} + +bool InsideBarBreakLong(const int sh) +{ + if(!AllowInsideBarBreak) return false; + double hiM = iHigh(_Symbol, Timeframe, sh + 1); + double loM = iLow(_Symbol, Timeframe, sh + 1); + double hiI = iHigh(_Symbol, Timeframe, sh); + double loI = iLow(_Symbol, Timeframe, sh); + double cI = iClose(_Symbol, Timeframe, sh); + if(hiI >= hiM || loI <= loM) return false; + return (cI > hiM && TrendLong(sh)); +} + +bool InsideBarBreakShort(const int sh) +{ + if(!AllowInsideBarBreak) return false; + double hiM = iHigh(_Symbol, Timeframe, sh + 1); + double loM = iLow(_Symbol, Timeframe, sh + 1); + double hiI = iHigh(_Symbol, Timeframe, sh); + double loI = iLow(_Symbol, Timeframe, sh); + double cI = iClose(_Symbol, Timeframe, sh); + if(hiI >= hiM || loI <= loM) return false; + return (cI < loM && TrendShort(sh)); +} + +bool AsianRange(const int sh, double &aHigh, double &aLow) +{ + aHigh = -1e100; + aLow = 1e100; + datetime barTime = iTime(_Symbol, Timeframe, sh); + if(barTime <= 0) return false; + MqlDateTime ts; TimeToStruct(barTime, ts); + if(!HourInRange(ts.hour, AsianEndHour, AsianEndHour + 12)) return false; + + for(int i = sh; i < sh + 96; i++) + { + datetime t = iTime(_Symbol, Timeframe, i); + if(t <= 0) break; + MqlDateTime bt; TimeToStruct(t, bt); + if(!HourInRange(bt.hour, AsianStartHour, AsianEndHour)) continue; + double hi = iHigh(_Symbol, Timeframe, i); + double lo = iLow(_Symbol, Timeframe, i); + if(hi > aHigh) aHigh = hi; + if(lo < aLow) aLow = lo; + } + return (aHigh > -1e50 && aLow < 1e50 && aHigh > aLow); +} + +bool AsianBreakoutLong(const int sh) +{ + if(!AllowAsianBreakout) return false; + double aHi, aLo; + if(!AsianRange(sh, aHi, aLo)) return false; + double buf = AsianBreakBufferPips * PipSize(); + double c = iClose(_Symbol, Timeframe, sh); + return (c > aHi + buf && TrendLong(sh)); +} + +bool AsianBreakoutShort(const int sh) +{ + if(!AllowAsianBreakout) return false; + double aHi, aLo; + if(!AsianRange(sh, aHi, aLo)) return false; + double buf = AsianBreakBufferPips * PipSize(); + double c = iClose(_Symbol, Timeframe, sh); + return (c < aLo - buf && TrendShort(sh)); +} + +bool PrimaryLong(const int sh) +{ + if(EntryMode == 0) return HtfBullBreak(sh); + if(EntryMode == 2) return ReclaimLong(sh); + if(EntryMode == 3) return LtfMomentumLong(sh); + return (HtfBullBreak(sh) || ReclaimLong(sh) || LtfMomentumLong(sh) || PullbackLong(sh)); +} + +bool PrimaryShort(const int sh) +{ + if(EntryMode == 0) return HtfBearBreak(sh); + if(EntryMode == 2) return ReclaimShort(sh); + if(EntryMode == 3) return LtfMomentumShort(sh); + return (HtfBearBreak(sh) || ReclaimShort(sh) || LtfMomentumShort(sh) || PullbackShort(sh)); +} + +bool ConfirmLong(const int sh) +{ + return (RsiPullbackLong(sh) || MacdMomentumLong(sh) || InsideBarBreakLong(sh) || AsianBreakoutLong(sh)); +} + +bool ConfirmShort(const int sh) +{ + return (RsiPullbackShort(sh) || MacdMomentumShort(sh) || InsideBarBreakShort(sh) || AsianBreakoutShort(sh)); +} + +int ScoreLong(const int sh) +{ + int sc = 0; + if(HtfBullBreak(sh)) sc++; + if(ReclaimLong(sh)) sc++; + if(LtfMomentumLong(sh)) sc++; + if(PullbackLong(sh) && TrendLong(sh)) sc++; + if(RsiPullbackLong(sh)) sc++; + if(MacdMomentumLong(sh)) sc++; + if(InsideBarBreakLong(sh)) sc++; + if(AsianBreakoutLong(sh)) sc++; + return sc; +} + +int ScoreShort(const int sh) +{ + int sc = 0; + if(HtfBearBreak(sh)) sc++; + if(ReclaimShort(sh)) sc++; + if(LtfMomentumShort(sh)) sc++; + if(PullbackShort(sh) && TrendShort(sh)) sc++; + if(RsiPullbackShort(sh)) sc++; + if(MacdMomentumShort(sh)) sc++; + if(InsideBarBreakShort(sh)) sc++; + if(AsianBreakoutShort(sh)) sc++; + return sc; +} + +bool ComboLong(const int sh) +{ + if(ComboMode == 1) return (PrimaryLong(sh) && ConfirmLong(sh)); + if(ComboMode == 2) return (ScoreLong(sh) >= MinComboScore); + return (PrimaryLong(sh) || ConfirmLong(sh) || LtfMomentumLong(sh)); +} + +bool ComboShort(const int sh) +{ + if(ComboMode == 1) return (PrimaryShort(sh) && ConfirmShort(sh)); + if(ComboMode == 2) return (ScoreShort(sh) >= MinComboScore); + return (PrimaryShort(sh) || ConfirmShort(sh) || LtfMomentumShort(sh)); +} + +bool BuySignal(const int sh) +{ + if(!SessionOk() || !CompressionOk(sh)) return false; + if(!H1TrendLong(sh) || !AdxOk(sh)) return false; + int bias = DailyBias(sh); + if(UseDailyBias && bias < 0) return false; + return ComboLong(sh); +} + +bool SellSignal(const int sh) +{ + if(!SessionOk() || !CompressionOk(sh)) return false; + if(!H1TrendShort(sh) || !AdxOk(sh)) return false; + int bias = DailyBias(sh); + if(UseDailyBias && bias > 0) return false; + return ComboShort(sh); +} + +void ManagePosition(const int sh) +{ + if(!HasOurPosition()) return; + long type = PositionGetInteger(POSITION_TYPE); + double entry = PositionGetDouble(POSITION_PRICE_OPEN); + datetime openTime = (datetime)PositionGetInteger(POSITION_TIME); + int barsHeld = iBarShift(_Symbol, Timeframe, openTime); + int maxBars = MaxBarsInTrade; + if(ExtendHoldMomentum && InMomentumWindow()) maxBars = (int)(maxBars * 1.5); + + if(maxBars > 0 && barsHeld >= maxBars) + { + CloseOur("max_bars"); + return; + } + + double atr; + if(!Copy1(g_atrHandle, sh, 0, atr) || atr <= 0) return; + double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); + double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); + + if(type == POSITION_TYPE_BUY) + { + double sl = entry - atr * AtrSlMult; + double tp = entry + atr * AtrTpMult; + double effSl = sl; + if(UseTrailing) + { + double candidate = bid - atr * TrailAtrMult; + if(candidate > entry) + { + if(g_trail <= 0 || candidate > g_trail) g_trail = candidate; + effSl = MathMax(sl, g_trail); + } + } + if(bid <= effSl) { CloseOur("sl_trail"); return; } + if(bid >= tp) { CloseOur("tp"); return; } + } + else + { + double sl = entry + atr * AtrSlMult; + double tp = entry - atr * AtrTpMult; + double effSl = sl; + if(UseTrailing) + { + double candidate = ask + atr * TrailAtrMult; + if(candidate < entry) + { + if(g_trail <= 0 || candidate < g_trail) g_trail = candidate; + effSl = MathMin(sl, g_trail); + } + } + if(ask >= effSl) { CloseOur("sl_trail"); return; } + if(ask <= tp) { CloseOur("tp"); return; } + } +} + +int OnInit() +{ + g_fastHandle = iMA(_Symbol, Timeframe, LtfFastEma, 0, MODE_EMA, PRICE_CLOSE); + g_slowHandle = iMA(_Symbol, Timeframe, LtfSlowEma, 0, MODE_EMA, PRICE_CLOSE); + g_atrHandle = iATR(_Symbol, Timeframe, AtrPeriod); + g_dailyEma = iMA(_Symbol, DailyTimeframe, DailyEmaPeriod, 0, MODE_EMA, PRICE_CLOSE); + g_rsiHandle = iRSI(_Symbol, Timeframe, RsiPeriod, PRICE_CLOSE); + g_macdHandle = iMACD(_Symbol, Timeframe, MacdFast, MacdSlow, MacdSignal, PRICE_CLOSE); + g_adxHandle = iADX(_Symbol, Timeframe, AdxPeriod); + g_h1EmaHandle = iMA(_Symbol, PERIOD_H1, H1EmaPeriod, 0, MODE_EMA, PRICE_CLOSE); + if(g_fastHandle == INVALID_HANDLE || g_slowHandle == INVALID_HANDLE || + g_atrHandle == INVALID_HANDLE || g_dailyEma == INVALID_HANDLE || + g_rsiHandle == INVALID_HANDLE || g_macdHandle == INVALID_HANDLE || + g_adxHandle == INVALID_HANDLE || g_h1EmaHandle == INVALID_HANDLE) + return INIT_FAILED; + g_trade.SetExpertMagicNumber(MagicNumber); + Print("[USDCHF Playbook v1.20] combo modules on ", _Symbol); + return INIT_SUCCEEDED; +} + +void OnDeinit(const int reason) +{ + if(g_fastHandle != INVALID_HANDLE) IndicatorRelease(g_fastHandle); + if(g_slowHandle != INVALID_HANDLE) IndicatorRelease(g_slowHandle); + if(g_atrHandle != INVALID_HANDLE) IndicatorRelease(g_atrHandle); + if(g_dailyEma != INVALID_HANDLE) IndicatorRelease(g_dailyEma); + if(g_rsiHandle != INVALID_HANDLE) IndicatorRelease(g_rsiHandle); + if(g_macdHandle != INVALID_HANDLE) IndicatorRelease(g_macdHandle); + if(g_adxHandle != INVALID_HANDLE) IndicatorRelease(g_adxHandle); + if(g_h1EmaHandle != INVALID_HANDLE) IndicatorRelease(g_h1EmaHandle); +} + +void OnTick() +{ + if(!IsNewBar()) return; + const int sh = 1; + ManagePosition(sh); + if(HasOurPosition()) return; + if(BuySignal(sh)) TryOpen(true); + else if(SellSignal(sh)) TryOpen(false); +} diff --git a/lab/EAs/USDCHF/USDCHF_Combo_Any.set b/lab/EAs/USDCHF/USDCHF_Combo_Any.set new file mode 100644 index 0000000..c723f94 --- /dev/null +++ b/lab/EAs/USDCHF/USDCHF_Combo_Any.set @@ -0,0 +1,52 @@ +; ComboMode=0 任一模块触发（最多交易） +ComboMode=0 +MinComboScore=2 +AllowRsiPullback=true +RsiPeriod=14 +RsiBuyZone=42.0 +RsiSellZone=58.0 +AllowMacdMomentum=true +MacdFast=12 +MacdSlow=26 +MacdSignal=9 +AllowInsideBarBreak=true +AllowAsianBreakout=true +AsianStartHour=0 +AsianEndHour=8 +AsianBreakBufferPips=1.0 +UseH1TrendFilter=true +H1EmaPeriod=50 +UseAdxFilter=false +AdxPeriod=14 +AdxMin=20.0 +EntryMode=1 +AllowLtfPullback=true +AllowEmaCross=true +MinEmaGapPips=0.3 +UseDailyBias=true +DailyEmaPeriod=50 +HtfZoneBars=16 +MinBreakBodyRatio=0.45 +UseDoubleTrap=false +NyChaosStartHour=12 +NyChaosEndHour=15 +MomentumStartHour=14 +MomentumEndHour=22 +UseMomentumWindow=false +LotSize=0.10 +AtrPeriod=14 +AtrSlMult=1.6 +AtrTpMult=2.8 +UseTrailing=true +TrailAtrMult=1.0 +MaxBarsInTrade=48 +ExtendHoldMomentum=false +CooldownBars=1 +MaxSpreadPips=8 +UseCompressionFilter=false +CompressAtrRatio=0.70 +CompressLookback=48 +Timeframe=16388 +HtfTimeframe=16396 +DailyTimeframe=16408 +MagicNumber=20260625 diff --git a/lab/EAs/USDCHF/USDCHF_Combo_Confirm.set b/lab/EAs/USDCHF/USDCHF_Combo_Confirm.set new file mode 100644 index 0000000..54efcb8 --- /dev/null +++ b/lab/EAs/USDCHF/USDCHF_Combo_Confirm.set @@ -0,0 +1,52 @@ +; ComboMode=1 主信号(H4/陷阱/LTF) + 至少一个确认(RSI/MACD/内包线/亚盘) +ComboMode=1 +MinComboScore=2 +AllowRsiPullback=true +RsiPeriod=14 +RsiBuyZone=40.0 +RsiSellZone=60.0 +AllowMacdMomentum=true +MacdFast=12 +MacdSlow=26 +MacdSignal=9 +AllowInsideBarBreak=true +AllowAsianBreakout=true +AsianStartHour=0 +AsianEndHour=8 +AsianBreakBufferPips=1.0 +UseH1TrendFilter=true +H1EmaPeriod=50 +UseAdxFilter=true +AdxPeriod=14 +AdxMin=18.0 +EntryMode=1 +AllowLtfPullback=true +AllowEmaCross=true +MinEmaGapPips=0.5 +UseDailyBias=true +DailyEmaPeriod=66 +HtfZoneBars=20 +MinBreakBodyRatio=0.50 +UseDoubleTrap=false +NyChaosStartHour=12 +NyChaosEndHour=13 +MomentumStartHour=10 +MomentumEndHour=20 +UseMomentumWindow=true +LotSize=0.10 +AtrPeriod=14 +AtrSlMult=1.4 +AtrTpMult=2.8 +UseTrailing=true +TrailAtrMult=0.6 +MaxBarsInTrade=20 +ExtendHoldMomentum=false +CooldownBars=2 +MaxSpreadPips=10 +UseCompressionFilter=false +CompressAtrRatio=0.70 +CompressLookback=48 +Timeframe=16388 +HtfTimeframe=16396 +DailyTimeframe=16408 +MagicNumber=20260625 diff --git a/lab/EAs/USDCHF/USDCHF_Combo_Hybrid.set b/lab/EAs/USDCHF/USDCHF_Combo_Hybrid.set new file mode 100644 index 0000000..b030117 --- /dev/null +++ b/lab/EAs/USDCHF/USDCHF_Combo_Hybrid.set @@ -0,0 +1,52 @@ +; ComboMode=2 评分>=2 + 超高频风控（推荐组合） +ComboMode=2 +MinComboScore=2 +AllowRsiPullback=true +RsiPeriod=14 +RsiBuyZone=42.0 +RsiSellZone=58.0 +AllowMacdMomentum=true +MacdFast=12 +MacdSlow=26 +MacdSignal=9 +AllowInsideBarBreak=true +AllowAsianBreakout=true +AsianStartHour=0 +AsianEndHour=8 +AsianBreakBufferPips=1.0 +UseH1TrendFilter=true +H1EmaPeriod=50 +UseAdxFilter=false +AdxPeriod=14 +AdxMin=18.0 +EntryMode=1 +AllowLtfPullback=true +AllowEmaCross=true +MinEmaGapPips=0.4 +UseDailyBias=true +DailyEmaPeriod=66 +HtfZoneBars=20 +MinBreakBodyRatio=0.50 +UseDoubleTrap=false +NyChaosStartHour=12 +NyChaosEndHour=13 +MomentumStartHour=10 +MomentumEndHour=20 +UseMomentumWindow=true +LotSize=0.10 +AtrPeriod=14 +AtrSlMult=1.4 +AtrTpMult=2.8 +UseTrailing=true +TrailAtrMult=0.6 +MaxBarsInTrade=20 +ExtendHoldMomentum=false +CooldownBars=2 +MaxSpreadPips=10 +UseCompressionFilter=false +CompressAtrRatio=0.70 +CompressLookback=48 +Timeframe=16388 +HtfTimeframe=16396 +DailyTimeframe=16408 +MagicNumber=20260625 diff --git a/lab/EAs/USDCHF/USDCHF_Combo_Score.set b/lab/EAs/USDCHF/USDCHF_Combo_Score.set new file mode 100644 index 0000000..4d63010 --- /dev/null +++ b/lab/EAs/USDCHF/USDCHF_Combo_Score.set @@ -0,0 +1,52 @@ +; ComboMode=2 评分制：至少2个模块同时满足（质量+频率平衡） +ComboMode=2 +MinComboScore=2 +AllowRsiPullback=true +RsiPeriod=14 +RsiBuyZone=42.0 +RsiSellZone=58.0 +AllowMacdMomentum=true +MacdFast=12 +MacdSlow=26 +MacdSignal=9 +AllowInsideBarBreak=true +AllowAsianBreakout=true +AsianStartHour=0 +AsianEndHour=8 +AsianBreakBufferPips=1.0 +UseH1TrendFilter=true +H1EmaPeriod=50 +UseAdxFilter=false +AdxPeriod=14 +AdxMin=20.0 +EntryMode=3 +AllowLtfPullback=true +AllowEmaCross=true +MinEmaGapPips=0.4 +UseDailyBias=true +DailyEmaPeriod=50 +HtfZoneBars=16 +MinBreakBodyRatio=0.45 +UseDoubleTrap=true +NyChaosStartHour=12 +NyChaosEndHour=14 +MomentumStartHour=8 +MomentumEndHour=23 +UseMomentumWindow=false +LotSize=0.10 +AtrPeriod=14 +AtrSlMult=1.5 +AtrTpMult=2.5 +UseTrailing=true +TrailAtrMult=0.9 +MaxBarsInTrade=32 +ExtendHoldMomentum=false +CooldownBars=1 +MaxSpreadPips=8 +UseCompressionFilter=false +CompressAtrRatio=0.70 +CompressLookback=48 +Timeframe=16388 +HtfTimeframe=16396 +DailyTimeframe=16408 +MagicNumber=20260625 diff --git a/lab/EAs/USDCHF/USDCHF_Genetic_HighFreq.set b/lab/EAs/USDCHF/USDCHF_Genetic_HighFreq.set new file mode 100644 index 0000000..32b4df1 --- /dev/null +++ b/lab/EAs/USDCHF/USDCHF_Genetic_HighFreq.set @@ -0,0 +1,42 @@ +; USDCHF Playbook — genetic optimization for HIGH trade count +; Format: Name=Default||Min||Step||Max||Y/N + +Timeframe=16388||16388||0||16388||N +HtfTimeframe=16396||16396||0||16396||N +DailyTimeframe=16408||16408||0||16408||N +MagicNumber=20260625||20260625||1||20260625||N +LotSize=0.10||0.10||0||0.10||N +AtrPeriod=14||14||1||14||N +ExtendHoldMomentum=false||false||0||true||Y +CompressLookback=48||48||1||48||N + +UseDailyBias=true||false||0||true||Y +DailyEmaPeriod=50||34||8||90||Y + +HtfZoneBars=16||8||4||24||Y +MinBreakBodyRatio=0.45||0.35||0.05||0.60||Y +UseDoubleTrap=false||false||0||true||Y + +NyChaosStartHour=12||11||1||14||Y +NyChaosEndHour=15||14||1||16||Y +MomentumStartHour=14||12||1||17||Y +MomentumEndHour=22||20||1||24||Y +UseMomentumWindow=false||false||0||true||Y + +LtfFastEma=8||5||1||12||Y +LtfSlowEma=21||16||2||34||Y +EntryMode=3||1||1||3||Y +AllowLtfPullback=true||true||0||true||Y +AllowEmaCross=true||false||0||true||Y +MinEmaGapPips=0.3||0.0||0.2||1.5||Y + +AtrSlMult=1.6||1.2||0.2||2.2||Y +AtrTpMult=2.8||2.0||0.3||4.5||Y +UseTrailing=true||false||0||true||Y +TrailAtrMult=1.0||0.7||0.2||1.5||Y +MaxBarsInTrade=48||24||8||80||Y +CooldownBars=1||1||1||3||Y +MaxSpreadPips=8||6||1||10||Y + +UseCompressionFilter=false||false||0||true||Y +CompressAtrRatio=0.70||0.55||0.05||0.85||Y diff --git a/lab/EAs/USDCHF/USDCHF_Genetic_Optimization.set b/lab/EAs/USDCHF/USDCHF_Genetic_Optimization.set new file mode 100644 index 0000000..aa78ea1 --- /dev/null +++ b/lab/EAs/USDCHF/USDCHF_Genetic_Optimization.set @@ -0,0 +1,48 @@ +; USDCHF Playbook — genetic optimization ranges (M15) +; Format: Name=Default||Min||Step||Max||Y/N +; Load: Strategy Tester → Inputs → Load → Optimization → Genetic + +; === fixed === +Timeframe=16388||16388||0||16388||N +HtfTimeframe=16396||16396||0||16396||N +DailyTimeframe=16408||16408||0||16408||N +MagicNumber=20260625||20260625||1||20260625||N +LotSize=0.10||0.10||0||0.10||N +AtrPeriod=14||14||1||14||N +ExtendHoldMomentum=true||true||0||true||N +CompressLookback=48||48||1||48||N + +; === daily bias (rule 6) === +UseDailyBias=true||false||0||true||Y +DailyEmaPeriod=50||34||8||100||Y + +; === HTF zones (rule 3) === +HtfZoneBars=20||12||4||28||Y +MinBreakBodyRatio=0.55||0.45||0.05||0.70||Y + +; === double trap (rule 2) === +UseDoubleTrap=true||false||0||true||Y + +; === session (rules 1 & 4) === +NyChaosStartHour=12||11||1||14||Y +NyChaosEndHour=15||14||1||17||Y +MomentumStartHour=15||14||1||17||Y +MomentumEndHour=2||1||1||4||Y + +; === LTF entry === +LtfFastEma=8||5||1||12||Y +LtfSlowEma=21||18||3||34||Y +EntryMode=1||0||1||2||Y + +; === risk / swing === +AtrSlMult=1.8||1.4||0.2||2.6||Y +AtrTpMult=4.0||3.0||0.5||6.5||Y +UseTrailing=true||false||0||true||Y +TrailAtrMult=1.2||0.8||0.2||1.8||Y +MaxBarsInTrade=96||64||16||128||Y +CooldownBars=4||2||1||8||Y +MaxSpreadPips=8||6||1||10||Y + +; === news compression (rule 5) === +UseCompressionFilter=true||false||0||true||Y +CompressAtrRatio=0.70||0.55||0.05||0.85||Y diff --git a/lab/EAs/USDCHF/USDCHF_Genetic_UltraFreq.set b/lab/EAs/USDCHF/USDCHF_Genetic_UltraFreq.set new file mode 100644 index 0000000..1d179dd --- /dev/null +++ b/lab/EAs/USDCHF/USDCHF_Genetic_UltraFreq.set @@ -0,0 +1,40 @@ +; USDCHF — genetic optimize for ~daily trade frequency +Timeframe=16388||16388||0||16388||N +HtfTimeframe=16396||16396||0||16396||N +DailyTimeframe=16408||16408||0||16408||N +MagicNumber=20260625||20260625||1||20260625||N +LotSize=0.10||0.10||0||0.10||N +AtrPeriod=14||14||1||14||N +ExtendHoldMomentum=false||false||0||false||N +CompressLookback=48||48||1||48||N + +UseDailyBias=false||false||0||true||Y +DailyEmaPeriod=50||34||8||90||Y + +HtfZoneBars=12||8||2||20||Y +MinBreakBodyRatio=0.40||0.30||0.05||0.55||Y +UseDoubleTrap=false||false||0||true||Y + +NyChaosStartHour=12||11||1||14||Y +NyChaosEndHour=14||13||1||16||Y +MomentumStartHour=8||6||1||12||Y +MomentumEndHour=23||20||1||24||Y +UseMomentumWindow=false||false||0||true||Y + +LtfFastEma=6||5||1||9||Y +LtfSlowEma=18||14||2||24||Y +EntryMode=3||3||1||3||N +AllowLtfPullback=true||true||0||true||Y +AllowEmaCross=true||true||0||true||Y +MinEmaGapPips=0.0||0.0||0.2||0.8||Y + +AtrSlMult=1.3||1.0||0.1||1.8||Y +AtrTpMult=1.8||1.4||0.2||2.8||Y +UseTrailing=true||false||0||true||Y +TrailAtrMult=0.8||0.6||0.1||1.2||Y +MaxBarsInTrade=20||12||4||36||Y +CooldownBars=0||0||1||2||Y +MaxSpreadPips=8||6||1||10||Y + +UseCompressionFilter=false||false||0||true||Y +CompressAtrRatio=0.70||0.55||0.05||0.85||Y diff --git a/lab/EAs/USDCHF/USDCHF_HighFreq.set b/lab/EAs/USDCHF/USDCHF_HighFreq.set new file mode 100644 index 0000000..9c17d47 --- /dev/null +++ b/lab/EAs/USDCHF/USDCHF_HighFreq.set @@ -0,0 +1,34 @@ +; USDCHF Playbook — high-frequency defaults (LTF momentum, avoid NY chaos only) +Timeframe=16388 +HtfTimeframe=16396 +DailyTimeframe=16408 +MagicNumber=20260625 +UseDailyBias=true +DailyEmaPeriod=50 +HtfZoneBars=16 +MinBreakBodyRatio=0.45 +UseDoubleTrap=false +NyChaosStartHour=12 +NyChaosEndHour=15 +MomentumStartHour=14 +MomentumEndHour=22 +LtfFastEma=8 +LtfSlowEma=21 +EntryMode=3 +AllowLtfPullback=true +AllowEmaCross=true +MinEmaGapPips=0.3 +LotSize=0.10 +AtrPeriod=14 +AtrSlMult=1.6 +AtrTpMult=2.8 +UseTrailing=true +TrailAtrMult=1.0 +MaxBarsInTrade=48 +ExtendHoldMomentum=false +CooldownBars=1 +MaxSpreadPips=8 +UseCompressionFilter=false +CompressAtrRatio=0.70 +CompressLookback=48 +UseMomentumWindow=false diff --git a/lab/EAs/USDCHF/USDCHF_Playbook.set b/lab/EAs/USDCHF/USDCHF_Playbook.set new file mode 100644 index 0000000..af452c4 --- /dev/null +++ b/lab/EAs/USDCHF/USDCHF_Playbook.set @@ -0,0 +1,25 @@ +; USDCHF Playbook optimized +Timeframe=15 +UseDailyBias=true +DailyEmaPeriod=50 +HtfZoneBars=16 +MinBreakBodyRatio=0.51 +UseDoubleTrap=false +NyChaosStartHour=13 +NyChaosEndHour=14 +MomentumStartHour=15 +MomentumEndHour=2 +LtfFastEma=8 +LtfSlowEma=21 +EntryMode=1 +AtrPeriod=14 +AtrSlMult=2.14 +AtrTpMult=3.6 +UseTrailing=true +TrailAtrMult=1.2 +MaxBarsInTrade=96 +ExtendHoldMomentum=true +CooldownBars=4 +UseCompressionFilter=true +CompressAtrRatio=0.7 +LotSize=0.1 diff --git a/lab/EAs/USDCHF/USDCHF_UltraFreq.set b/lab/EAs/USDCHF/USDCHF_UltraFreq.set new file mode 100644 index 0000000..8da205e --- /dev/null +++ b/lab/EAs/USDCHF/USDCHF_UltraFreq.set @@ -0,0 +1,34 @@ +; USDCHF — ultra frequency preset (shorter holds, no cooldown) +Timeframe=16388 +HtfTimeframe=16396 +DailyTimeframe=16408 +MagicNumber=20260625 +UseDailyBias=false +DailyEmaPeriod=50 +HtfZoneBars=12 +MinBreakBodyRatio=0.35 +UseDoubleTrap=false +NyChaosStartHour=12 +NyChaosEndHour=14 +MomentumStartHour=8 +MomentumEndHour=23 +LtfFastEma=6 +LtfSlowEma=18 +EntryMode=3 +AllowLtfPullback=true +AllowEmaCross=true +MinEmaGapPips=0.0 +LotSize=0.10 +AtrPeriod=14 +AtrSlMult=1.3 +AtrTpMult=1.8 +UseTrailing=true +TrailAtrMult=0.8 +MaxBarsInTrade=20 +ExtendHoldMomentum=false +CooldownBars=0 +MaxSpreadPips=8 +UseCompressionFilter=false +CompressAtrRatio=0.70 +CompressLookback=48 +UseMomentumWindow=false diff --git a/lab/EAs/USDCHF/USDCHF_optimized.set b/lab/EAs/USDCHF/USDCHF_optimized.set new file mode 100644 index 0000000..2539dd6 --- /dev/null +++ b/lab/EAs/USDCHF/USDCHF_optimized.set @@ -0,0 +1,30 @@ +; USDCHF Playbook — MT5 genetic optimization best +Timeframe=16388 +HtfTimeframe=16396 +DailyTimeframe=16408 +MagicNumber=20260625 +LotSize=0.10 +AtrPeriod=14 +ExtendHoldMomentum=true +CompressLookback=48 +UseDailyBias=false +DailyEmaPeriod=82 +HtfZoneBars=8 +MinBreakBodyRatio=0.45 +UseDoubleTrap=true +NyChaosStartHour=14 +NyChaosEndHour=16 +MomentumStartHour=12 +MomentumEndHour=23 +LtfFastEma=11 +LtfSlowEma=24 +EntryMode=3 +AtrSlMult=2.2 +AtrTpMult=4.4 +UseTrailing=true +TrailAtrMult=1.5 +MaxBarsInTrade=80 +CooldownBars=2 +MaxSpreadPips=9 +UseCompressionFilter=false +CompressAtrRatio=0.55 diff --git a/lab/EAs/USDCHF/USDCHF_optimized_balanced.set b/lab/EAs/USDCHF/USDCHF_optimized_balanced.set new file mode 100644 index 0000000..0c70b34 --- /dev/null +++ b/lab/EAs/USDCHF/USDCHF_optimized_balanced.set @@ -0,0 +1,30 @@ +; USDCHF Playbook — MT5 genetic optimization best +Timeframe=16388 +HtfTimeframe=16396 +DailyTimeframe=16408 +MagicNumber=20260625 +LotSize=0.10 +AtrPeriod=14 +ExtendHoldMomentum=true +CompressLookback=48 +UseDailyBias=false +DailyEmaPeriod=82 +HtfZoneBars=20 +MinBreakBodyRatio=0.40 +UseDoubleTrap=true +NyChaosStartHour=14 +NyChaosEndHour=16 +MomentumStartHour=12 +MomentumEndHour=22 +LtfFastEma=11 +LtfSlowEma=24 +EntryMode=3 +AtrSlMult=2.2 +AtrTpMult=2.0 +UseTrailing=false +TrailAtrMult=0.7 +MaxBarsInTrade=72 +CooldownBars=3 +MaxSpreadPips=8 +UseCompressionFilter=true +CompressAtrRatio=0.55 diff --git a/lab/EAs/USDCHF/USDCHF_optimized_ultrafreq.set b/lab/EAs/USDCHF/USDCHF_optimized_ultrafreq.set new file mode 100644 index 0000000..338ea22 --- /dev/null +++ b/lab/EAs/USDCHF/USDCHF_optimized_ultrafreq.set @@ -0,0 +1,34 @@ +; USDCHF — MT5 ultra-freq genetic best (pass 6622) +Timeframe=16388 +HtfTimeframe=16396 +DailyTimeframe=16408 +MagicNumber=20260625 +UseDailyBias=true +DailyEmaPeriod=66 +HtfZoneBars=20 +MinBreakBodyRatio=0.50 +UseDoubleTrap=false +NyChaosStartHour=12 +NyChaosEndHour=13 +MomentumStartHour=10 +MomentumEndHour=20 +LtfFastEma=7 +LtfSlowEma=24 +EntryMode=3 +AllowLtfPullback=true +AllowEmaCross=false +MinEmaGapPips=0.6 +LotSize=0.10 +AtrPeriod=14 +AtrSlMult=1.4 +AtrTpMult=2.8 +UseTrailing=true +TrailAtrMult=0.6 +MaxBarsInTrade=20 +ExtendHoldMomentum=false +CooldownBars=2 +MaxSpreadPips=10 +UseCompressionFilter=false +CompressAtrRatio=0.70 +CompressLookback=48 +UseMomentumWindow=true diff --git a/lab/EAs/USDCHF/best_params.json b/lab/EAs/USDCHF/best_params.json new file mode 100644 index 0000000..e90bfe6 --- /dev/null +++ b/lab/EAs/USDCHF/best_params.json @@ -0,0 +1,39 @@ +{ + "metrics": { + "net_profit": 2632.999999999998, + "total_trades": 397, + "profit_factor": 3.192540532438441, + "win_rate": 80.85642317380352, + "max_drawdown_pct": 0.5389938096778568, + "sharpe": 4.378118012191507 + }, + "params": { + "daily_ema_period": 50, + "use_daily_bias": true, + "htf_zone_bars": 16, + "min_break_body_ratio": 0.51, + "use_double_trap": false, + "trap_lookback": 6, + "ny_chaos_start": 13, + "ny_chaos_end": 14, + "momentum_start": 15, + "momentum_end": 2, + "ltf_fast_ema": 8, + "ltf_slow_ema": 21, + "entry_mode": 1, + "atr_period": 14, + "atr_sl_mult": 2.14, + "atr_tp_mult": 3.6, + "use_trailing": true, + "trail_atr_mult": 1.2, + "max_bars_in_trade": 96, + "extend_hold_in_momentum": true, + "use_compression_filter": true, + "compress_atr_ratio": 0.7, + "compress_lookback": 48, + "cooldown_bars": 4, + "max_spread_pips": 8.0, + "lot_size": 0.1, + "initial_balance": 10000.0 + } +} \ No newline at end of file diff --git a/lab/EAs/USDCHF/best_trades.csv b/lab/EAs/USDCHF/best_trades.csv new file mode 100644 index 0000000..4653e68 --- /dev/null +++ b/lab/EAs/USDCHF/best_trades.csv @@ -0,0 +1,398 @@ +side,open_time,close_time,profit,exit_reason +BUY,2023-05-18 17:00:00,2023-05-19 04:00:00,4.01,trail +BUY,2023-05-24 17:00:00,2023-05-25 09:00:00,7.7,trail +BUY,2023-05-31 17:00:00,2023-05-31 18:00:00,21.8,trail +SELL,2023-06-08 15:00:00,2023-06-08 16:00:00,71.2,trail +SELL,2023-06-08 19:00:00,2023-06-09 08:00:00,8.75,trail +SELL,2023-06-14 15:00:00,2023-06-14 16:00:00,35.78,trail +SELL,2023-06-14 19:00:00,2023-06-14 21:00:00,-32.01,sl +SELL,2023-06-15 17:00:00,2023-06-16 08:00:00,45.95,tp +SELL,2023-07-07 15:00:00,2023-07-07 16:00:00,24.16,trail +SELL,2023-07-07 19:00:00,2023-07-10 00:00:00,7.23,trail +SELL,2023-07-10 21:00:00,2023-07-11 09:00:00,29.36,trail +SELL,2023-07-11 17:00:00,2023-07-11 18:00:00,2.76,trail +SELL,2023-07-11 21:00:00,2023-07-12 05:00:00,13.36,trail +SELL,2023-07-12 15:00:00,2023-07-12 16:00:00,87.92,trail +SELL,2023-07-12 19:00:00,2023-07-13 08:00:00,12.44,trail +SELL,2023-07-13 17:00:00,2023-07-14 08:00:00,14.83,trail +SELL,2023-07-26 21:00:00,2023-07-26 22:00:00,21.99,trail +SELL,2023-08-04 17:00:00,2023-08-07 02:00:00,-35.69,sl +BUY,2023-08-24 15:00:00,2023-08-25 00:00:00,19.3,trail +BUY,2023-08-25 00:00:00,2023-08-25 09:00:00,10.83,trail +SELL,2023-08-29 17:00:00,2023-08-29 18:00:00,42.0,trail +SELL,2023-08-30 15:00:00,2023-08-30 16:00:00,33.7,trail +BUY,2023-09-01 17:00:00,2023-09-01 18:00:00,18.7,trail +BUY,2023-09-18 15:00:00,2023-09-18 15:30:00,2.83,trail +BUY,2023-09-18 16:00:00,2023-09-18 18:30:00,-14.13,sl +BUY,2023-09-20 20:15:00,2023-09-20 21:00:00,38.66,trail +BUY,2023-09-20 21:15:00,2023-09-20 21:30:00,-22.58,sl +BUY,2023-09-20 22:15:00,2023-09-21 03:15:00,13.9,trail +BUY,2023-09-26 20:15:00,2023-09-26 22:00:00,7.53,trail +BUY,2023-09-26 22:00:00,2023-09-27 00:00:00,-10.14,sl +BUY,2023-09-27 00:00:00,2023-09-27 00:15:00,-14.0,sl +BUY,2023-09-27 16:15:00,2023-09-27 16:30:00,4.49,trail +BUY,2023-09-27 17:15:00,2023-09-27 20:00:00,8.2,trail +BUY,2023-09-27 20:00:00,2023-09-27 20:15:00,6.19,trail +BUY,2023-10-03 15:00:00,2023-10-03 17:00:00,9.78,trail +BUY,2023-10-12 20:15:00,2023-10-13 05:45:00,-10.71,sl +SELL,2023-10-19 16:15:00,2023-10-19 18:00:00,2.94,trail +SELL,2023-10-19 18:00:00,2023-10-19 18:45:00,7.47,trail +SELL,2023-10-19 19:00:00,2023-10-19 19:15:00,10.65,trail +SELL,2023-10-19 20:00:00,2023-10-20 01:00:00,17.88,trail +BUY,2023-10-26 16:15:00,2023-10-26 17:00:00,16.83,trail +BUY,2023-10-26 17:15:00,2023-10-27 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+import re +import sys +from pathlib import Path + +LAB = Path(__file__).resolve().parent + +SET_DEFAULTS = { + "UseDailyBias": "false", + "DailyEmaPeriod": "50", + "HtfZoneBars": "12", + "MinBreakBodyRatio": "0.40", + "UseDoubleTrap": "false", + "NyChaosStartHour": "12", + "NyChaosEndHour": "14", + "MomentumStartHour": "8", + "MomentumEndHour": "23", + "UseMomentumWindow": "false", + "LtfFastEma": "6", + "LtfSlowEma": "18", + "EntryMode": "3", + "AllowLtfPullback": "true", + "AllowEmaCross": "true", + "MinEmaGapPips": "0.0", + "AtrSlMult": "1.3", + "AtrTpMult": "1.8", + "UseTrailing": "true", + "TrailAtrMult": "0.8", + "MaxBarsInTrade": "20", + "CooldownBars": "0", + "MaxSpreadPips": "8", + "UseCompressionFilter": "false", + "CompressAtrRatio": "0.70", +} + + +def parse_xml(path: Path) -> tuple[list[str], list[dict[str, str]]]: + text = path.read_text(encoding="utf-8", errors="ignore") + header = re.search(r".*?Pass.*?", text, re.S) + if not header: + raise SystemExit("header not found") + cols = re.findall(r'([^<]+)', header.group(0)) + out: list[dict[str, str]] = [] + for row in re.findall(r"(.*?)", text, re.S)[1:]: + cells = re.findall(r'([^<]+)', row) + if len(cells) >= len(cols): + out.append(dict(zip(cols, cells))) + return cols, out + + +def row_to_set_params(row: dict[str, str]) -> dict[str, str]: + merged = dict(SET_DEFAULTS) + for k, v in row.items(): + if k in merged: + merged[k] = v + if "EntryMode" not in row: + merged["EntryMode"] = "3" + return merged + + +def write_set(path: Path, params: dict[str, str]) -> None: + merged = {**SET_DEFAULTS, **params} + lines = [ + "; USDCHF Playbook — MT5 genetic optimization export", + "Timeframe=16388", + "HtfTimeframe=16396", + "DailyTimeframe=16408", + "MagicNumber=20260625", + "LotSize=0.10", + "AtrPeriod=14", + "ExtendHoldMomentum=false", + "CompressLookback=48", + ] + for k in SET_DEFAULTS: + lines.append(f"{k}={merged[k]}") + path.write_text("\n".join(lines) + "\n", encoding="utf-8") + + +def main() -> None: + xml = Path(sys.argv[1]) if len(sys.argv) > 1 else None + if xml is None: + xml = LAB.parent.parent.parent / ".." / "USDCHF_USDCHF_optimize.xml" + if not xml.exists(): + import MetaTrader5 as mt5 + + if not mt5.initialize(): + raise SystemExit("MT5 init failed") + data = Path(mt5.terminal_info().data_path) + mt5.shutdown() + xml = data / "USDCHF_USDCHF_optimize.xml" + if not xml.exists(): + raise SystemExit(f"missing {xml}") + + _, rows = parse_xml(xml) + best_profit = max(rows, key=lambda r: float(r["Profit"])) + best_balanced = None + for r in rows: + profit = float(r["Profit"]) + trades = int(float(r["Trades"])) + pf = float(r["Profit Factor"]) + if profit > 0 and pf >= 1.05 and trades >= 80: + sc = profit + trades * 15.0 + if best_balanced is None or sc > float(best_balanced["score"]): + best_balanced = {**r, "score": str(sc)} + + out_profit = LAB / "USDCHF_optimized.set" + write_set(out_profit, row_to_set_params(best_profit)) + print(f"Best profit: ${float(best_profit['Profit']):,.2f} trades={best_profit['Trades']} PF={best_profit['Profit Factor']}") + print(f"Wrote {out_profit}") + + if best_balanced: + out_bal = LAB / "USDCHF_optimized_balanced.set" + write_set(out_bal, row_to_set_params(best_balanced)) + print( + f"Best balanced: ${float(best_balanced['Profit']):,.2f} " + f"trades={best_balanced['Trades']} PF={best_balanced['Profit Factor']}" + ) + print(f"Wrote {out_bal}") + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/USDCHF/run_backtest.py b/lab/EAs/USDCHF/run_backtest.py new file mode 100644 index 0000000..a1e1428 --- /dev/null +++ b/lab/EAs/USDCHF/run_backtest.py @@ -0,0 +1,125 @@ +""" +USDCHF Playbook — Python bar backtest via MT5 live data. + +Usage: + python run_backtest.py + python run_backtest.py --start 2022-01-01 --end 2026-01-01 +""" + +from __future__ import annotations + +import argparse +import json +import sys +from dataclasses import asdict +from datetime import datetime +from pathlib import Path + +import matplotlib + +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import MetaTrader5 as mt5 +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) +sys.path.insert(0, str(Path(__file__).resolve().parent)) + +from cluster_audit.backtest_core import CostModel, load_bars, resolve_symbol # noqa: E402 +from strategy_core import PlaybookParams, STRATEGY_ID, build_market, pip_size, simulate # noqa: E402 + + +def save_reports(result, params: PlaybookParams, df: pd.DataFrame, out_dir: Path) -> None: + rows = [ + { + "side": t["side"], + "open_time": df.index[t["open_i"]], + "close_time": df.index[t["close_i"]], + "profit": t["profit"], + "exit_reason": t["exit_reason"], + } + for t in result.trades + ] + pd.DataFrame(rows).to_csv(out_dir / "trades.csv", index=False) + report = { + "strategy_id": STRATEGY_ID, + "symbol": "USDCHF", + "net_profit": result.net_profit, + "total_trades": result.total_trades, + "win_rate": result.win_rate, + "profit_factor": result.profit_factor, + "max_drawdown_pct": result.max_drawdown_pct, + "sharpe": result.sharpe, + "params": params.to_dict(), + } + with open(out_dir / "backtest_report.json", "w", encoding="utf-8") as f: + json.dump(report, f, indent=2) + + if not result.trades: + fig, ax = plt.subplots(figsize=(10, 4)) + ax.text(0.5, 0.5, "No trades", ha="center", va="center") + ax.axis("off") + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + return + + tdf = pd.DataFrame(rows).sort_values("close_time") + bal0 = params.initial_balance + eq = bal0 + tdf["profit"].cumsum() + fig, axes = plt.subplots(2, 1, figsize=(12, 8)) + axes[0].plot(tdf["close_time"], eq, lw=1.8) + axes[0].set_title(f"{STRATEGY_ID} Equity") + axes[0].grid(alpha=0.3) + axes[1].hist(tdf["profit"], bins=30, color="#6a5acd", alpha=0.85) + axes[1].axvline(0, color="black") + axes[1].set_title("Trade PnL") + fig.suptitle( + f"Net ${result.net_profit:,.0f} | Trades {result.total_trades} | " + f"PF {result.profit_factor:.2f} | WR {result.win_rate:.1f}% | DD {result.max_drawdown_pct:.1f}%" + ) + fig.tight_layout() + fig.savefig(out_dir / "report.png", dpi=200, bbox_inches="tight") + plt.close(fig) + + +def parse_args() -> argparse.Namespace: + p = argparse.ArgumentParser(description=f"{STRATEGY_ID} backtest") + p.add_argument("--symbol", default="USDCHF") + p.add_argument("--start", default="2022-01-01") + p.add_argument("--end", default="2026-01-01") + p.add_argument("--balance", type=float, default=10_000.0) + p.add_argument("--params", default="", help="JSON file with PlaybookParams overrides") + return p.parse_args() + + +def main() -> None: + args = parse_args() + out_dir = Path(__file__).resolve().parent + params = PlaybookParams(initial_balance=args.balance) + if args.params: + overrides = json.loads(Path(args.params).read_text(encoding="utf-8")) + params = PlaybookParams(**{**params.to_dict(), **overrides}) + + if not mt5.initialize(): + raise SystemExit("MT5 initialize() failed") + try: + symbol = resolve_symbol(args.symbol) + df = load_bars(symbol, mt5.TIMEFRAME_M15, datetime.fromisoformat(args.start), datetime.fromisoformat(args.end)) + costs = CostModel.for_symbol(symbol) + pip = pip_size(symbol) + point = float(mt5.symbol_info(symbol).point) + print(f"Loaded {len(df)} M15 bars for {symbol}") + md = build_market(df, params) + result = simulate(md, symbol, params, costs, pip, point) + save_reports(result, params, df, out_dir) + print( + f"Net: ${result.net_profit:,.2f} | Trades: {result.total_trades} | " + f"PF: {result.profit_factor:.2f} | WR: {result.win_rate:.1f}% | DD: {result.max_drawdown_pct:.1f}%" + ) + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/USDCHF/run_mt5_tester.py b/lab/EAs/USDCHF/run_mt5_tester.py new file mode 100644 index 0000000..358141b --- /dev/null +++ b/lab/EAs/USDCHF/run_mt5_tester.py @@ -0,0 +1,319 @@ +""" +Launch MT5 Strategy Tester for USDCHF Playbook EA. + +Usage: + python run_mt5_tester.py backtest + python run_mt5_tester.py optimize + python run_mt5_tester.py backtest --visual +""" + +from __future__ import annotations + +import argparse +import json +import re +import shutil +import subprocess +import sys +import time +from pathlib import Path + +import MetaTrader5 as mt5 + +LAB = Path(__file__).resolve().parent +EA_SRC = LAB.parent / "USDCHF.mq5" +DEFAULT_SET = LAB / "USDCHF_Playbook.set" +OPT_SET = LAB / "USDCHF_Genetic_Optimization.set" +OPT_HIGHFREQ_SET = LAB / "USDCHF_Genetic_HighFreq.set" +OPT_ULTRAFREQ_SET = LAB / "USDCHF_Genetic_UltraFreq.set" + +LABELS = { + "profit_factor": ("Profit Factor", "盈利因子"), + "net_profit": ("Total Net Profit", "总净盈利"), + "total_trades": ("Total Trades", "交易总计"), + "sharpe": ("Sharpe Ratio", "夏普比率"), + "equity_dd": ("Equity Drawdown Maximal", "最大回撤"), +} + + +def read_text(path: Path) -> str: + text = path.read_text(encoding="utf-16", errors="ignore") + if not text.strip(): + text = path.read_text(encoding="utf-8", errors="ignore") + return text + + +def grab_metric(text: str, key: str) -> str | None: + for label in LABELS[key]: + for pat in ( + rf">{re.escape(label)}\s*]*>(?:)?([^<]+)", + rf">{re.escape(label)}:\s*]*>(?:)?([^<]+)", + ): + m = re.search(pat, text, re.I) + if m: + return m.group(1).strip() + return None + + +def parse_report(data: Path, report: str) -> dict: + xml_path = data / f"{report}.xml" + if xml_path.exists(): + text = xml_path.read_text(encoding="utf-8", errors="ignore") + m = re.search( + r"\s*]*>]*>Pass.*?\s*(.*?)", + text, + re.S, + ) + if m: + cells = re.findall(r'([^<]+)', m.group(1)) + if len(cells) >= 10: + params = {} + param_names = [ + "UseDailyBias", + "DailyEmaPeriod", + "HtfZoneBars", + "MinBreakBodyRatio", + "UseDoubleTrap", + "NyChaosStartHour", + "NyChaosEndHour", + "MomentumStartHour", + "MomentumEndHour", + "UseMomentumWindow", + "LtfFastEma", + "LtfSlowEma", + "EntryMode", + "AllowLtfPullback", + "AllowEmaCross", + "MinEmaGapPips", + "AtrSlMult", + "AtrTpMult", + "UseTrailing", + "TrailAtrMult", + "MaxBarsInTrade", + "CooldownBars", + "MaxSpreadPips", + "UseCompressionFilter", + "CompressAtrRatio", + ] + for i, name in enumerate(param_names): + if i + 10 < len(cells): + params[name] = cells[i + 10] + return { + "ready": True, + "report": str(xml_path), + "net_profit": float(cells[2]), + "profit_factor": float(cells[4]), + "sharpe": float(cells[6]), + "max_drawdown": f"{cells[8]}%", + "total_trades": int(float(cells[9])), + "optimized_params": params, + } + for path in sorted(data.glob(f"**/{report}*.htm*"), key=lambda p: p.stat().st_mtime, reverse=True): + text = read_text(path) + pf = grab_metric(text, "profit_factor") + profit = grab_metric(text, "net_profit") + trades = grab_metric(text, "total_trades") + sharpe = grab_metric(text, "sharpe") + dd = grab_metric(text, "equity_dd") + if pf or profit or trades: + return { + "profit_factor": float(pf) if pf else None, + "net_profit": _num(profit), + "total_trades": int(float(trades)) if trades and trades[0].isdigit() else None, + "sharpe": float(sharpe) if sharpe else None, + "max_drawdown": dd, + "report": str(path), + "ready": True, + } + return {"ready": False} + + +def _num(s: str | None) -> float | None: + if not s: + return None + s = s.replace(" ", "").replace(",", "") + if s.endswith("%"): + return float(s[:-1]) + return float(s) + + +def mt5_context() -> dict: + if not mt5.initialize(): + raise RuntimeError(f"MT5 init failed: {mt5.last_error()}") + info = mt5.terminal_info() + acc = mt5.account_info() + ctx = { + "data": Path(info.data_path), + "mt5_path": Path(info.path), + "login": acc.login if acc else 0, + "server": acc.server if acc else "", + } + mt5.shutdown() + return ctx + + +def deploy_ea(data: Path, mt5_path: Path) -> Path: + dst_dir = data / "MQL5" / "Experts" / "lab" / "USDCHF" + dst_dir.mkdir(parents=True, exist_ok=True) + dst = dst_dir / "USDCHF.mq5" + shutil.copy2(EA_SRC, dst) + log = dst_dir / "compile.log" + subprocess.run( + [str(mt5_path / "metaeditor64.exe"), f"/compile:{dst}", f"/log:{log}"], + timeout=180, + capture_output=True, + ) + time.sleep(3) + ex5 = dst_dir / "USDCHF.ex5" + if not ex5.exists(): + tail = log.read_text(encoding="utf-8", errors="ignore")[-2000:] if log.exists() else "" + raise RuntimeError(f"Compile failed:\n{dst}\n{tail}") + pub = data / "MQL5" / "Experts" / "USDCHF.ex5" + shutil.copy2(ex5, pub) + return pub + + +def copy_set_to_tester(data: Path, set_path: Path, set_name: str) -> Path: + profiles = data / "MQL5" / "Profiles" / "Tester" + profiles.mkdir(parents=True, exist_ok=True) + dst = profiles / set_name + shutil.copy2(set_path, dst) + return dst + + +def build_ini(**kw) -> str: + return f"""[Common] +Login={kw['login']} +Server={kw['server']} +[Tester] +Expert=USDCHF.ex5 +ExpertParameters={kw['set_name']} +Symbol={kw['symbol']} +Period={kw['period']} +Optimization={kw['optimization']} +Model=1 +Dates=1 +FromDate={kw['from_date']} +ToDate={kw['to_date']} +ForwardMode=0 +Deposit={kw['deposit']} +Currency=USD +Leverage={kw['leverage']} +ExecutionMode=0 +Report={kw['report']} +ReplaceReport=1 +ShutdownTerminal=1 +Visual={1 if kw['visual'] else 0} +""" + + +def run_tester(ctx: dict, **kw) -> dict: + data: Path = ctx["data"] + mt5_path: Path = ctx["mt5_path"] + deploy_ea(data, mt5_path) + copy_set_to_tester(data, kw["set_path"], kw["set_name"]) + ini_body = build_ini( + login=ctx["login"], + server=ctx["server"], + set_name=kw["set_name"], + report=kw["report"], + symbol=kw["symbol"], + period=kw["period"], + from_date=kw["from_date"], + to_date=kw["to_date"], + deposit=kw["deposit"], + leverage=kw["leverage"], + optimization=2 if kw["mode"] == "optimize" else 0, + visual=kw["visual"], + ) + ini = data / f"{kw['report']}.ini" + ini.write_text(ini_body, encoding="utf-8") + for ext in (".htm", ".html"): + p = data / f"{kw['report']}{ext}" + if p.exists(): + p.unlink(missing_ok=True) + + subprocess.run(["taskkill", "/IM", "terminal64.exe", "/F"], capture_output=True) + subprocess.run(["taskkill", "/IM", "metatester64.exe", "/F"], capture_output=True) + time.sleep(4) + + print(f"Starting MT5 Strategy Tester ({kw['mode']}) …") + print(f" EA: USDCHF.ex5 Symbol: {kw['symbol']} Period: {kw['period']}") + print(f" Set: {kw['set_name']}") + print(f" Range: {kw['from_date']} → {kw['to_date']} Visual: {kw['visual']}") + t0 = time.time() + timeout = kw.get("timeout_sec", 7200 if kw["mode"] == "optimize" else 3600) + subprocess.run([str(mt5_path / "terminal64.exe"), f"/config:{ini}"], timeout=timeout) + metrics = parse_report(data, kw["report"]) + metrics["elapsed_sec"] = round(time.time() - t0, 1) + metrics["mode"] = kw["mode"] + metrics["symbol"] = kw["symbol"] + metrics["period"] = kw["period"] + metrics["set_file"] = str(kw["set_path"]) + return metrics + + +def main() -> None: + p = argparse.ArgumentParser() + p.add_argument("mode", choices=["backtest", "optimize"]) + p.add_argument("--symbol", default="USDCHF") + p.add_argument("--period", default="M15") + p.add_argument("--from", dest="from_date", default="2022.01.01") + p.add_argument("--to", dest="to_date", default="2026.01.01") + p.add_argument("--deposit", type=float, default=10000) + p.add_argument("--leverage", type=int, default=100) + p.add_argument("--visual", action="store_true") + p.add_argument("--high-freq", action="store_true", help="High-frequency genetic ranges") + p.add_argument("--ultra-freq", action="store_true", help="Ultra-frequency genetic (~daily trades)") + p.add_argument("--set", dest="set_file", default="", help="Custom .set path") + args = p.parse_args() + + ctx = mt5_context() + set_path = Path(args.set_file) if args.set_file else ( + OPT_ULTRAFREQ_SET if args.mode == "optimize" and args.ultra_freq else + OPT_HIGHFREQ_SET if args.mode == "optimize" and args.high_freq else + OPT_SET if args.mode == "optimize" else DEFAULT_SET + ) + if not set_path.exists(): + set_path = DEFAULT_SET + report = f"USDCHF_{args.symbol}_{args.mode}" + metrics = run_tester( + ctx, + mode=args.mode, + set_path=set_path, + set_name=set_path.name, + report=report, + symbol=args.symbol, + period=args.period, + from_date=args.from_date, + to_date=args.to_date, + deposit=args.deposit, + leverage=args.leverage, + visual=args.visual, + ) + out_json = LAB / "mt5_results.json" + with open(out_json, "w", encoding="utf-8") as f: + json.dump(metrics, f, indent=2) + + if metrics.get("ready"): + print("\n=== MT5 Report ===") + for k in ("net_profit", "profit_factor", "total_trades", "sharpe", "max_drawdown", "elapsed_sec"): + if metrics.get(k) is not None: + print(f" {k}: {metrics[k]}") + print(f" report: {metrics.get('report')}") + print(f" saved: {out_json}") + if args.mode == "optimize" and metrics.get("optimized_params"): + opt_set = LAB / "USDCHF_optimized.set" + subprocess.run( + [sys.executable, str(LAB / "parse_optimize_xml.py"), metrics["report"]], + check=False, + ) + if opt_set.exists(): + print(f" optimized set: {opt_set}") + else: + print("Report not found — check MT5 Tester journal.") + print(f" ini/log hint: {ctx['data']}") + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/USDCHF/run_optimize.py b/lab/EAs/USDCHF/run_optimize.py new file mode 100644 index 0000000..995a708 --- /dev/null +++ b/lab/EAs/USDCHF/run_optimize.py @@ -0,0 +1,214 @@ +""" +Random-search optimizer for USDCHF Playbook. + +Targets: net_profit > 0, trades >= min_trades, stable PF. + +Usage: + python run_optimize.py --trials 3000 --min-trades 150 + python run_optimize.py --profile balanced --trials 5000 +""" + +from __future__ import annotations + +import argparse +import json +import random +import sys +from dataclasses import asdict +from datetime import datetime +from pathlib import Path + +import MetaTrader5 as mt5 +import pandas as pd + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT / "backtesting" / "MT5")) +sys.path.insert(0, str(Path(__file__).resolve().parent)) + +from cluster_audit.backtest_core import CostModel, load_bars, resolve_symbol # noqa: E402 +from strategy_core import PlaybookParams, build_market, pip_size, simulate # noqa: E402 + +LAB = Path(__file__).resolve().parent +EA_SET = LAB / "USDCHF_Playbook.set" + + +def sample_params(rng: random.Random, high_freq: bool) -> PlaybookParams: + if high_freq: + return PlaybookParams( + daily_ema_period=rng.choice([34, 50, 100]), + use_daily_bias=rng.choice([True, True, False]), + htf_zone_bars=rng.choice([12, 16, 20]), + min_break_body_ratio=round(rng.uniform(0.45, 0.65), 2), + use_double_trap=rng.choice([True, True, False]), + ny_chaos_start=rng.choice([11, 12, 13]), + ny_chaos_end=rng.choice([14, 15, 16]), + momentum_start=rng.choice([14, 15, 16]), + momentum_end=rng.choice([1, 2, 3]), + ltf_fast_ema=rng.randint(5, 12), + ltf_slow_ema=rng.choice([18, 21, 26, 34]), + entry_mode=rng.choice([0, 1, 1, 2]), + atr_sl_mult=round(rng.uniform(1.4, 2.4), 2), + atr_tp_mult=round(rng.uniform(3.0, 6.0), 2), + use_trailing=rng.choice([True, False]), + trail_atr_mult=round(rng.uniform(0.9, 1.6), 2), + max_bars_in_trade=rng.choice([64, 96, 128]), + use_compression_filter=rng.choice([True, False]), + compress_atr_ratio=round(rng.uniform(0.55, 0.80), 2), + cooldown_bars=rng.choice([2, 3, 4]), + ) + return PlaybookParams( + daily_ema_period=rng.choice([50, 100]), + htf_zone_bars=rng.choice([16, 20, 24]), + min_break_body_ratio=round(rng.uniform(0.50, 0.70), 2), + use_double_trap=rng.choice([True, False]), + ny_chaos_start=rng.choice([12, 13]), + ny_chaos_end=rng.choice([14, 15, 16]), + momentum_start=rng.choice([15, 16]), + momentum_end=rng.choice([2, 3]), + entry_mode=rng.choice([1, 1, 2]), + atr_sl_mult=round(rng.uniform(1.6, 2.2), 2), + atr_tp_mult=round(rng.uniform(3.5, 5.5), 2), + max_bars_in_trade=rng.choice([80, 96, 120]), + cooldown_bars=rng.choice([4, 6, 8]), + ) + + +def write_set(p: PlaybookParams, path: Path) -> None: + lines = [ + "; USDCHF Playbook optimized", + "Timeframe=15", + f"UseDailyBias={'true' if p.use_daily_bias else 'false'}", + f"DailyEmaPeriod={p.daily_ema_period}", + f"HtfZoneBars={p.htf_zone_bars}", + f"MinBreakBodyRatio={p.min_break_body_ratio}", + f"UseDoubleTrap={'true' if p.use_double_trap else 'false'}", + f"NyChaosStartHour={p.ny_chaos_start}", + f"NyChaosEndHour={p.ny_chaos_end}", + f"MomentumStartHour={p.momentum_start}", + f"MomentumEndHour={p.momentum_end}", + f"LtfFastEma={p.ltf_fast_ema}", + f"LtfSlowEma={p.ltf_slow_ema}", + f"EntryMode={p.entry_mode}", + f"AtrPeriod={p.atr_period}", + f"AtrSlMult={p.atr_sl_mult}", + f"AtrTpMult={p.atr_tp_mult}", + f"UseTrailing={'true' if p.use_trailing else 'false'}", + f"TrailAtrMult={p.trail_atr_mult}", + f"MaxBarsInTrade={p.max_bars_in_trade}", + f"ExtendHoldMomentum={'true' if p.extend_hold_in_momentum else 'false'}", + f"CooldownBars={p.cooldown_bars}", + f"UseCompressionFilter={'true' if p.use_compression_filter else 'false'}", + f"CompressAtrRatio={p.compress_atr_ratio}", + f"LotSize={p.lot_size}", + ] + path.write_text("\n".join(lines) + "\n", encoding="utf-8") + + +def score_result(r, min_trades: int, profile: str) -> float: + if r.total_trades < min_trades: + return float("-inf") + if r.net_profit <= 0: + return float("-inf") + if r.profit_factor < 1.02: + return float("-inf") + base = r.net_profit + if profile == "high-freq": + return base + r.total_trades * 2.0 + if profile == "balanced": + return base + r.total_trades * 5.0 - r.max_drawdown_pct * 50.0 + return base - r.max_drawdown_pct * 80.0 + + +def main() -> None: + ap = argparse.ArgumentParser() + ap.add_argument("--symbol", default="USDCHF") + ap.add_argument("--start", default="2022-01-01") + ap.add_argument("--end", default="2026-01-01") + ap.add_argument("--trials", type=int, default=3000) + ap.add_argument("--min-trades", type=int, default=120) + ap.add_argument("--max-trades", type=int, default=800) + ap.add_argument("--profile", choices=["profit", "high-freq", "balanced"], default="balanced") + ap.add_argument("--seed", type=int, default=42) + args = ap.parse_args() + rng = random.Random(args.seed) + + if not mt5.initialize(): + raise SystemExit("MT5 init failed") + try: + sym = resolve_symbol(args.symbol) + df = load_bars(sym, mt5.TIMEFRAME_M15, datetime.fromisoformat(args.start), datetime.fromisoformat(args.end)) + costs = CostModel.for_symbol(sym) + pip = pip_size(sym) + point = float(mt5.symbol_info(sym).point) + print(f"{sym} M15 bars={len(df)} trials={args.trials} profile={args.profile}", flush=True) + + best_sc = float("-inf") + best = None + best_p = None + rows = [] + high_freq = args.profile == "high-freq" + + for n in range(1, args.trials + 1): + p = sample_params(rng, high_freq) + md = build_market(df, p) + r = simulate(md, sym, p, costs, pip, point) + sc = score_result(r, args.min_trades, args.profile) + if args.max_trades and r.total_trades > args.max_trades: + sc = float("-inf") + rows.append({"trial": n, "score": sc, "net": r.net_profit, "trades": r.total_trades, "pf": r.profit_factor, **asdict(p)}) + if sc > best_sc: + best_sc, best, best_p = sc, r, p + print( + f" NEW BEST {n}: net=${r.net_profit:,.0f} trades={r.total_trades} " + f"PF={r.profit_factor:.2f} DD={r.max_drawdown_pct:.1f}%", + flush=True, + ) + if n % 500 == 0: + b = best + print(f" ... {n}/{args.trials} best_net=${b.net_profit if b else 0:,.0f}", flush=True) + + pd.DataFrame(rows).sort_values("score", ascending=False).to_csv(LAB / "optimize_trials.csv", index=False) + assert best and best_p + + with open(LAB / "best_params.json", "w", encoding="utf-8") as f: + json.dump( + { + "metrics": { + "net_profit": best.net_profit, + "total_trades": best.total_trades, + "profit_factor": best.profit_factor, + "win_rate": best.win_rate, + "max_drawdown_pct": best.max_drawdown_pct, + "sharpe": best.sharpe, + }, + "params": asdict(best_p), + }, + f, + indent=2, + ) + write_set(best_p, EA_SET) + + trows = [ + { + "side": t["side"], + "open_time": df.index[t["open_i"]], + "close_time": df.index[t["close_i"]], + "profit": t["profit"], + "exit_reason": t["exit_reason"], + } + for t in best.trades + ] + pd.DataFrame(trows).to_csv(LAB / "best_trades.csv", index=False) + + print( + f"\nBEST: net=${best.net_profit:,.2f} trades={best.total_trades} " + f"PF={best.profit_factor:.2f} WR={best.win_rate:.1f}% MaxDD={best.max_drawdown_pct:.1f}%", + flush=True, + ) + print(f"Saved {EA_SET.name} and best_params.json", flush=True) + finally: + mt5.shutdown() + + +if __name__ == "__main__": + main() diff --git a/lab/EAs/USDCHF/strategy_core.py b/lab/EAs/USDCHF/strategy_core.py new file mode 100644 index 0000000..8fbaf7e --- /dev/null +++ b/lab/EAs/USDCHF/strategy_core.py @@ -0,0 +1,387 @@ +""" +USDCHF Playbook — six behavioral rules from month-long backtest study. + +1. Momentum window: entries after NY chaos, hold through late-session momentum. +2. Double-trap: frequent fake breaks — wait for reclaim after second tap. +3. Respect zones: HTF (H4) close confirmation before LTF entry. +4. Avoid NY open chaos: skip high-volatility US open window. +5. News compression: skip tight ranges; trade post-breakout direction. +6. Daily swing bias: D1 EMA defines primary direction; wider targets. +""" + +from __future__ import annotations + +from dataclasses import asdict, dataclass +from typing import Any + +import MetaTrader5 as mt5 +import numpy as np +import pandas as pd + +from indicator_utils import calculate_atr, calculate_ema # noqa: E402 + + +STRATEGY_ID = "USDCHFPlaybook" + + +@dataclass +class PlaybookParams: + # Daily swing bias (rule 6) + daily_ema_period: int = 50 + use_daily_bias: bool = True + + # HTF zones (rule 3) + htf_zone_bars: int = 20 + min_break_body_ratio: float = 0.55 + + # Double trap (rule 2) + use_double_trap: bool = True + trap_lookback: int = 6 + + # Session (rules 1 & 4) — server/broker hours + ny_chaos_start: int = 12 + ny_chaos_end: int = 15 + momentum_start: int = 15 + momentum_end: int = 2 # wraps past midnight (hold until ~2am) + + # LTF structure + ltf_fast_ema: int = 8 + ltf_slow_ema: int = 21 + entry_mode: int = 1 # 0=htf breakout, 1=+pullback, 2=trap reclaim + + # Risk / swing holds (rule 6) + atr_period: int = 14 + atr_sl_mult: float = 1.8 + atr_tp_mult: float = 4.0 + use_trailing: bool = True + trail_atr_mult: float = 1.2 + max_bars_in_trade: int = 96 + extend_hold_in_momentum: bool = True + + # News compression proxy (rule 5) + use_compression_filter: bool = True + compress_atr_ratio: float = 0.70 + compress_lookback: int = 48 + + cooldown_bars: int = 4 + max_spread_pips: float = 8.0 + lot_size: float = 0.10 + initial_balance: float = 10_000.0 + + def to_dict(self) -> dict[str, Any]: + return asdict(self) + + +@dataclass +class MarketPack: + df: pd.DataFrame + close: np.ndarray + open_: np.ndarray + high: np.ndarray + low: np.ndarray + hours: np.ndarray + atr: np.ndarray + atr_ma: np.ndarray + daily_bias: np.ndarray # +1 bull, -1 bear, 0 neutral + h4_res: np.ndarray + h4_sup: np.ndarray + h4_bull_break: np.ndarray + h4_bear_break: np.ndarray + bull_trap: np.ndarray + bear_trap: np.ndarray + fast_ema: np.ndarray + slow_ema: np.ndarray + + +def pip_size(symbol: str) -> float: + info = mt5.symbol_info(symbol) + if not info: + return 0.0001 + pt = float(info.point) + return pt * 10.0 if info.digits in (3, 5) else pt + + +def _hour_in_range(h: int, start: int, end: int) -> bool: + if start == end: + return True + if start < end: + return start <= h < end + return h >= start or h < end + + +def in_momentum_window(hours: np.ndarray, p: PlaybookParams) -> np.ndarray: + return np.array([_hour_in_range(int(h), p.momentum_start, p.momentum_end) for h in hours]) + + +def in_ny_chaos(hours: np.ndarray, p: PlaybookParams) -> np.ndarray: + return np.array([_hour_in_range(int(h), p.ny_chaos_start, p.ny_chaos_end) for h in hours]) + + +def _body_ratio(o: float, h: float, l: float, c: float) -> float: + rng = h - l + if rng <= 0: + return 0.0 + return abs(c - o) / rng + + +def build_market(df: pd.DataFrame, p: PlaybookParams) -> MarketPack: + close_s = df["close"] + d1 = close_s.resample("1D").last().dropna() + d_ema = calculate_ema(d1, p.daily_ema_period) + bias_s = pd.Series(0, index=d1.index, dtype=float) + if p.use_daily_bias: + bias_s = np.where(d1 > d_ema, 1.0, np.where(d1 < d_ema, -1.0, 0.0)) + daily_bias = pd.Series(bias_s, index=d1.index).reindex(df.index, method="ffill").fillna(0).to_numpy() + + h4 = df.resample("4h").agg({"open": "first", "high": "max", "low": "min", "close": "last"}).dropna() + h4_res = h4["high"].rolling(p.htf_zone_bars).max().shift(1) + h4_sup = h4["low"].rolling(p.htf_zone_bars).min().shift(1) + h4_res_i = h4_res.reindex(df.index, method="ffill").to_numpy() + h4_sup_i = h4_sup.reindex(df.index, method="ffill").to_numpy() + + h4_o = h4["open"].reindex(df.index, method="ffill").to_numpy() + h4_h = h4["high"].reindex(df.index, method="ffill").to_numpy() + h4_l = h4["low"].reindex(df.index, method="ffill").to_numpy() + h4_c = h4["close"].reindex(df.index, method="ffill").to_numpy() + + bull_body = np.array([_body_ratio(h4_o[i], h4_h[i], h4_l[i], h4_c[i]) for i in range(len(df))]) + h4_bull_break = (h4_c > h4_res_i) & (bull_body >= p.min_break_body_ratio) + h4_bear_break = (h4_c < h4_sup_i) & (bull_body >= p.min_break_body_ratio) + + high = df["high"].to_numpy() + low = df["low"].to_numpy() + close = close_s.to_numpy() + n = len(df) + bull_trap = np.zeros(n, dtype=bool) + bear_trap = np.zeros(n, dtype=bool) + if p.use_double_trap: + for i in range(2, n): + # false break above resistance then close back under zone + if high[i - 1] > h4_res_i[i - 2] and close[i - 1] < h4_res_i[i - 2]: + bull_trap[i] = True + if low[i - 1] < h4_sup_i[i - 2] and close[i - 1] > h4_sup_i[i - 2]: + bear_trap[i] = True + + atr = calculate_atr(df, p.atr_period).to_numpy() + atr_ma = pd.Series(atr).rolling(p.compress_lookback).mean().to_numpy() + + return MarketPack( + df=df, + close=close, + open_=df["open"].to_numpy(), + high=high, + low=low, + hours=df.index.hour.to_numpy(), + atr=atr, + atr_ma=atr_ma, + daily_bias=daily_bias, + h4_res=h4_res_i, + h4_sup=h4_sup_i, + h4_bull_break=h4_bull_break, + h4_bear_break=h4_bear_break, + bull_trap=bull_trap, + bear_trap=bear_trap, + fast_ema=calculate_ema(close_s, p.ltf_fast_ema).to_numpy(), + slow_ema=calculate_ema(close_s, p.ltf_slow_ema).to_numpy(), + ) + + +def make_signals(md: MarketPack, p: PlaybookParams) -> dict[str, np.ndarray]: + n = len(md.df) + momentum = in_momentum_window(md.hours, p) + chaos = in_ny_chaos(md.hours, p) + session_ok = momentum & ~chaos + + compress_ok = np.ones(n, dtype=bool) + if p.use_compression_filter: + compress_ok = ~( + (md.atr_ma > 0) + & (md.atr / np.maximum(md.atr_ma, 1e-12) < p.compress_atr_ratio) + & chaos + ) + + c1 = np.roll(md.close, 1) + h1 = np.roll(md.high, 1) + l1 = np.roll(md.low, 1) + f1 = np.roll(md.fast_ema, 1) + s1 = np.roll(md.slow_ema, 1) + bull_pb = (f1 > s1) & (l1 <= f1) & (c1 > f1) + bear_pb = (f1 < s1) & (h1 >= f1) & (c1 < f1) + + h4_bull = np.roll(md.h4_bull_break, 1) + h4_bear = np.roll(md.h4_bear_break, 1) + bias = md.daily_bias + bias_bull = (bias >= 0) if p.use_daily_bias else np.ones(n, dtype=bool) + bias_bear = (bias <= 0) if p.use_daily_bias else np.ones(n, dtype=bool) + + trap_bull = np.roll(md.bull_trap, 1) + trap_bear = np.roll(md.bear_trap, 1) + reclaim_bull = trap_bull & (c1 > md.h4_res) & (c1 > f1) + reclaim_bear = trap_bear & (c1 < md.h4_sup) & (c1 < f1) + + if p.entry_mode == 0: + buy_raw = h4_bull & bias_bull + sell_raw = h4_bear & bias_bear + elif p.entry_mode == 2: + buy_raw = reclaim_bull & bias_bull + sell_raw = reclaim_bear & bias_bear + else: + buy_raw = (h4_bull | (h4_bull & bull_pb) | reclaim_bull) & bias_bull + sell_raw = (h4_bear | (h4_bear & bear_pb) | reclaim_bear) & bias_bear + + buy_sig = buy_raw & session_ok & compress_ok + sell_sig = sell_raw & session_ok & compress_ok + + warm = max(p.htf_zone_bars * 16, p.daily_ema_period * 24, 80) + buy_sig[:warm] = False + sell_sig[:warm] = False + return { + "buy_sig": buy_sig, + "sell_sig": sell_sig, + "session_ok": session_ok, + "momentum": momentum, + "atr": md.atr, + } + + +@dataclass +class SimResult: + net_profit: float + total_trades: int + win_rate: float + profit_factor: float + max_drawdown_pct: float + sharpe: float + trades: list[dict] + + +def simulate( + md: MarketPack, + symbol: str, + p: PlaybookParams, + costs: Any, + pip: float, + point: float, +) -> SimResult: + from cluster_audit.backtest_core import CostModel # local import avoids cycle + + sig = make_signals(md, p) + opn, high, low, close = md.open_, md.high, md.low, md.close + atr = sig["atr"] + momentum = sig["momentum"] + buy_sig, sell_sig = sig["buy_sig"], sig["sell_sig"] + + spread_px = costs.spread_points * point + slip = costs.slippage_points * point + half = spread_px / 2.0 + slip + commission = costs.commission_per_lot * p.lot_size * 2.0 + + balance = p.initial_balance + equity: list[float] = [balance] + trades: list[dict] = [] + side = None + entry = 0.0 + entry_i = 0 + trail = 0.0 + last_entry_i = -10_000 + + def calc_profit(entry_px: float, exit_px: float, s: str) -> float: + ot = mt5.ORDER_TYPE_BUY if s == "BUY" else mt5.ORDER_TYPE_SELL + pr = mt5.order_calc_profit(ot, symbol, p.lot_size, entry_px, exit_px) + return float(pr) - commission if pr is not None else -commission + + warm = max(p.htf_zone_bars * 16, 80) + for i in range(warm, len(md.df)): + atr1 = float(atr[i - 1]) if not np.isnan(atr[i - 1]) else 0.0 + mid = float(opn[i]) + + if side is not None: + bars_held = i - entry_i + closed = False + max_bars = p.max_bars_in_trade + if p.extend_hold_in_momentum and momentum[i]: + max_bars = int(max_bars * 1.5) + if max_bars > 0 and bars_held >= max_bars: + exit_px = mid - half if side == "BUY" else mid + half + profit = calc_profit(entry, exit_px, side) + balance += profit + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": profit, "exit_reason": "max_bars"}) + closed = True + elif side == "BUY": + sl_px = entry - atr1 * p.atr_sl_mult if atr1 > 0 else entry - 20 * pip + tp_px = entry + atr1 * p.atr_tp_mult if atr1 > 0 else entry + 40 * pip + eff_sl = sl_px + if p.use_trailing and atr1 > 0: + td = atr1 * p.trail_atr_mult + candidate = high[i] - td + if candidate > entry: + trail = max(trail, candidate) if trail > 0 else candidate + eff_sl = max(sl_px, trail) + if low[i] <= eff_sl: + reason = "trail" if trail > sl_px and eff_sl > entry else "sl" + profit = calc_profit(entry, eff_sl - half, side) + balance += profit + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": profit, "exit_reason": reason}) + closed = True + elif high[i] >= tp_px: + profit = calc_profit(entry, tp_px - half, side) + balance += profit + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": profit, "exit_reason": "tp"}) + closed = True + elif side == "SELL": + sl_px = entry + atr1 * p.atr_sl_mult if atr1 > 0 else entry + 20 * pip + tp_px = entry - atr1 * p.atr_tp_mult if atr1 > 0 else entry - 40 * pip + eff_sl = sl_px + if p.use_trailing and atr1 > 0: + td = atr1 * p.trail_atr_mult + candidate = low[i] + td + if candidate < entry: + trail = min(trail, candidate) if trail > 0 else candidate + eff_sl = min(sl_px, trail) + if high[i] >= eff_sl: + reason = "trail" if trail > 0 and trail < sl_px and eff_sl < entry else "sl" + profit = calc_profit(entry, eff_sl + half, side) + balance += profit + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": profit, "exit_reason": reason}) + closed = True + elif low[i] <= tp_px: + profit = calc_profit(entry, tp_px + half, side) + balance += profit + trades.append({"side": side, "open_i": entry_i, "close_i": i, "profit": profit, "exit_reason": "tp"}) + closed = True + if closed: + side = None + trail = 0.0 + + if side is None: + spread_pips = spread_px / pip if pip > 0 else 0 + if not (p.max_spread_pips > 0 and spread_pips > p.max_spread_pips) and i - last_entry_i >= p.cooldown_bars: + if buy_sig[i]: + side, entry, entry_i, last_entry_i = "BUY", mid + half, i, i + elif sell_sig[i]: + side, entry, entry_i, last_entry_i = "SELL", mid - half, i, i + + mark = balance + if side == "BUY": + mark += calc_profit(entry, float(close[i - 1]), side) + commission + elif side == "SELL": + mark += calc_profit(entry, float(close[i - 1]), side) + commission + equity.append(mark) + + if side is not None: + profit = calc_profit(entry, float(close[-1]), side) + balance += profit + trades.append({"side": side, "open_i": entry_i, "close_i": len(md.df) - 1, "profit": profit, "exit_reason": "eod"}) + + eq = pd.Series(equity[: len(md.df)], index=md.df.index[: len(equity)]) + net = balance - p.initial_balance + wins = [t["profit"] for t in trades if t["profit"] > 0] + losses = [t["profit"] for t in trades if t["profit"] <= 0] + gp = sum(wins) if wins else 0.0 + gl = abs(sum(losses)) if losses else 0.0 + pf = gp / gl if gl > 0 else 0.0 + wr = 100.0 * len(wins) / len(trades) if trades else 0.0 + dd = abs(float(((eq - eq.cummax()) / eq.cummax() * 100).min())) if len(eq) else 0.0 + rets = 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zmBiG?Kmen`c(ihKlx}b&+c}Y5VEL9wP+1O&RrwAUI)vBH93w(=#_%1cZ)8rPewIKc z#4_53Mw*8Nc8C+%`Y7=T!CRg!TFvgKelDB2(U%QBzpUh71_o82UQDB7HiKyT#Y|$h zf|n?cnT%u$SXBPvFhRIR>7=7n&oZzO<&1i@>$7v(MQ!=rOeJq-LRrv;kKdO|nVk7Y}h1f`u0+24i7#-vgB$+iPe(fej*d9U+F3t;#2<1ocWhrj-?+KnUM7UwSKL%1lQ!r&@^`UZ^z9<)phOF$ z8F8H{F4aCuVQiUTR)^JNDi-a6T5&gJZX)=03RRFt+HiIUtIEX_aa?f%MLiPz7A5>4 zd5pdPdkSS0p$ric8dDJ(;V6+1vq*9@)8H`_hV$I&MdN$KXOIQ|T=;GHpzAu_CwiNX z|797ctN$5S@KetI-?_T~!8OZV^UpZXPr0Hc-k@{+lrN|K8TTigwaBz&bkyr7tVw(A z1J0q-FV%2*`>*t7op*_Y_rQSHC3=0}HS0VNytTT*2c0^TuI_<{*OfkS73=Ch-Q?6& zKk#|++N{%^)GZa_Qm2&LgF^sI&Q-eY*dban;0bf1B_p0N?I|u>GE>OHl~ycSDP-du z1xt1cIk=K?Ru1P3O!fx_6n8{-LZ|aEKoq#=ELk#A0H6wsmdq?@A*fasv=In93pzNH z=Yf+2FX$1SDyv?ymgou@EIjWOR4y6u1SA(AQOLr1N?0B=3We>6d(c{|Gojx$-ErN6 z3XiV#!FsQ5%Y)`t-Hr$SI)~1WVdEW>(GLvef6ZHd^8hY*8y*hV3c(_SIX-A dYCC-(*Joi`eE*T}FmpdLn>*Zw9~J80|9@>B(DncT diff --git a/lab/EAs/_united/MagicNumberHelpers.mqh b/lab/EAs/_united/MagicNumberHelpers.mqh new file mode 100644 index 0000000..911767c --- /dev/null +++ b/lab/EAs/_united/MagicNumberHelpers.mqh @@ -0,0 +1,75 @@ +//+------------------------------------------------------------------+ +//| MagicNumberHelpers.mqh | +//| Copyright 2025, MetaQuotes Ltd. | +//| https://www.mql5.com | +//+------------------------------------------------------------------+ +#property copyright "Copyright 2025, MetaQuotes Ltd." +#property link "https://www.mql5.com" +#property version "1.00" + +//+------------------------------------------------------------------+ +//| Select position by symbol and magic number | +//+------------------------------------------------------------------+ +bool PositionSelectByMagic(string symbol, ulong magic_number) +{ + if(!PositionSelect(symbol)) + return false; + + if(PositionGetInteger(POSITION_MAGIC) != magic_number) + { + for(int i = PositionsTotal() - 1; i >= 0; i--) + { + if(PositionGetTicket(i) > 0) + { + if(PositionGetString(POSITION_SYMBOL) == symbol && + PositionGetInteger(POSITION_MAGIC) == magic_number) + { + return true; + } + } + } + return false; + } + + return true; +} + +//+------------------------------------------------------------------+ +//| Select position by ticket and verify magic number and symbol | +//+------------------------------------------------------------------+ +bool PositionSelectByTicketSymbolAndMagic(ulong ticket, string symbol, ulong magic_number) +{ + if(!PositionSelectByTicket(ticket)) + return false; + + return (PositionGetString(POSITION_SYMBOL) == symbol && + PositionGetInteger(POSITION_MAGIC) == magic_number); +} + +//+------------------------------------------------------------------+ +//| Check if position exists with correct magic number | +//+------------------------------------------------------------------+ +bool PositionExistsByMagic(string symbol, ulong magic_number) +{ + return PositionSelectByMagic(symbol, magic_number); +} + +//+------------------------------------------------------------------+ +//| Close position by symbol and magic number | +//+------------------------------------------------------------------+ +bool ClosePositionByMagic(CTrade &trade_obj, string symbol, ulong magic_number) +{ + for(int i = PositionsTotal() - 1; i >= 0; i--) + { + ulong ticket = PositionGetTicket(i); + if(ticket > 0) + { + if(PositionGetString(POSITION_SYMBOL) == symbol && + PositionGetInteger(POSITION_MAGIC) == magic_number) + { + return trade_obj.PositionClose(ticket); + } + } + } + return false; +} diff --git a/lab/EAs/catcher-optimization.set b/lab/EAs/catcher-optimization.set deleted file mode 100644 index f7d4f7e..0000000 --- a/lab/EAs/catcher-optimization.set +++ /dev/null @@ -1,21 +0,0 @@ -; saved on 2026.04.25 -; optimization profile for double-top-bottom-catcher.mq5 -; load this in Strategy Tester > Inputs tab > Load -; -InpTf=1||0||0||49153||N -InpHtf=5||0||0||49153||N -InpUseHtfFilter=true||false||0||true||Y -InpEmaFast=9||7||1||14||Y -InpEmaSlow=21||18||1||34||Y -InpPivotLeft=2||1||1||4||Y -InpPivotRight=2||1||1||4||Y -InpPatternLookbackBars=180||100||20||300||Y -InpMinPatternSeparation=6||4||1||12||Y -InpMaxPatternSeparation=50||20||5||80||Y -InpTopBottomTolPts=120.0||50.0||10.0||250.0||Y -InpMinEmaPriceDistPts=80.0||20.0||10.0||180.0||Y -InpPrevLevelLookback=120||50||10||250||Y -InpLots=0.01||0.01||0.0||0.01||N -InpSlBufferPts=25||10||5||60||Y -InpMagic=930101||930101||1||9301010||N -InpSlippagePts=30||10||5||50||Y diff --git a/lab/EAs/double-top-bottom-catcher.mq5 b/lab/EAs/double-top-bottom-catcher.mq5 deleted file mode 100644 index 9286bed..0000000 --- a/lab/EAs/double-top-bottom-catcher.mq5 +++ /dev/null @@ -1,350 +0,0 @@ -//+------------------------------------------------------------------+ -//| double-top-bottom-catcher.mq5 | -//| Lab EA: Double top/bottom catcher with EMA distance + HTF trend | -//+------------------------------------------------------------------+ -#property copyright "Lab" -#property version "1.00" - -#include - -input ENUM_TIMEFRAMES InpTf = PERIOD_M1; // Signal timeframe -input ENUM_TIMEFRAMES InpHtf = PERIOD_M5; // Higher timeframe -input bool InpUseHtfFilter = true; // Require HTF trend alignment -input int InpEmaFast = 9; // Fast EMA -input int InpEmaSlow = 21; // Slow EMA - -input int InpPivotLeft = 2; // Pivot bars left -input int InpPivotRight = 2; // Pivot bars right -input int InpPatternLookbackBars = 180; // Search range for patterns -input int InpMinPatternSeparation = 6; // Min bars between tops/bottoms -input int InpMaxPatternSeparation = 50; // Max bars between tops/bottoms -input double InpTopBottomTolPts = 120; // Max diff between top/top or bottom/bottom -input double InpMinEmaPriceDistPts = 80; // Min stretch from EMA at 2nd touch -input int InpPrevLevelLookback = 120; // Lookback to find previous support/resistance - -input double InpLots = 0.01; -input int InpSlBufferPts = 25; // SL buffer beyond pattern extreme -input ulong InpMagic = 20260425; -input int InpSlippagePts = 30; - -CTrade g_trade; - -int g_hEmaFast = INVALID_HANDLE; -int g_hEmaSlow = INVALID_HANDLE; -int g_hEmaFastHtf = INVALID_HANDLE; -int g_hEmaSlowHtf = INVALID_HANDLE; - -double g_emaFast[]; -double g_emaSlow[]; -double g_emaFastHtf[]; -double g_emaSlowHtf[]; - -int OnInit() -{ - g_trade.SetExpertMagicNumber(InpMagic); - g_trade.SetDeviationInPoints(InpSlippagePts); - SetTradeFillingBySymbol(); - - g_hEmaFast = iMA(_Symbol, InpTf, InpEmaFast, 0, MODE_EMA, PRICE_CLOSE); - g_hEmaSlow = iMA(_Symbol, InpTf, InpEmaSlow, 0, MODE_EMA, PRICE_CLOSE); - g_hEmaFastHtf = iMA(_Symbol, InpHtf, InpEmaFast, 0, MODE_EMA, PRICE_CLOSE); - g_hEmaSlowHtf = iMA(_Symbol, InpHtf, InpEmaSlow, 0, MODE_EMA, PRICE_CLOSE); - - if(g_hEmaFast == INVALID_HANDLE || g_hEmaSlow == INVALID_HANDLE || - g_hEmaFastHtf == INVALID_HANDLE || g_hEmaSlowHtf == INVALID_HANDLE) - return INIT_FAILED; - - ArraySetAsSeries(g_emaFast, true); - ArraySetAsSeries(g_emaSlow, true); - ArraySetAsSeries(g_emaFastHtf, true); - ArraySetAsSeries(g_emaSlowHtf, true); - - return INIT_SUCCEEDED; -} - -void OnDeinit(const int reason) -{ - if(g_hEmaFast != INVALID_HANDLE) IndicatorRelease(g_hEmaFast); - if(g_hEmaSlow != INVALID_HANDLE) IndicatorRelease(g_hEmaSlow); - if(g_hEmaFastHtf != INVALID_HANDLE) IndicatorRelease(g_hEmaFastHtf); - if(g_hEmaSlowHtf != INVALID_HANDLE) IndicatorRelease(g_hEmaSlowHtf); -} - -void OnTick() -{ - static datetime lastBar = 0; - datetime barTime = iTime(_Symbol, InpTf, 0); - if(barTime == lastBar) - return; - lastBar = barTime; - - const int need = MathMax(260, InpPatternLookbackBars + InpPrevLevelLookback + 20); - if(CopyBuffer(g_hEmaFast, 0, 0, need, g_emaFast) < need) return; - if(CopyBuffer(g_hEmaSlow, 0, 0, need, g_emaSlow) < need) return; - if(CopyBuffer(g_hEmaFastHtf, 0, 0, 5, g_emaFastHtf) < 5) return; - if(CopyBuffer(g_hEmaSlowHtf, 0, 0, 5, g_emaSlowHtf) < 5) return; - - if(PositionExistsForMagic()) - return; - - TryEnterLongDoubleBottom(); - if(!PositionExistsForMagic()) - TryEnterShortDoubleTop(); -} - -void TryEnterLongDoubleBottom() -{ - int firstBottom = -1; // older - int secondBottom = -1; // newer - double neckline = 0.0; - double lowA = 0.0; - double lowB = 0.0; - - if(!FindDoubleBottom(firstBottom, secondBottom, neckline, lowA, lowB)) - return; - - const int c = 1; - double close1 = iClose(_Symbol, InpTf, c); - if(close1 <= neckline) - return; // wait for neckline break confirmation - - double pt = SymbolInfoDouble(_Symbol, SYMBOL_POINT); - double stretched = g_emaFast[secondBottom] - lowB; - if(stretched < InpMinEmaPriceDistPts * pt) - return; // no enough EMA/price displacement for reversal - - if(close1 <= g_emaFast[c]) - return; // keep confirmation strict: close above EMA fast - - if(InpUseHtfFilter && !(g_emaFastHtf[c] > g_emaSlowHtf[c])) - return; - - double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); - int digits = (int)SymbolInfoInteger(_Symbol, SYMBOL_DIGITS); - double sl = MathMin(lowA, lowB) - InpSlBufferPts * pt; - double tp = FindPreviousResistance(firstBottom); - if(tp <= ask + pt) - return; - if(sl >= ask - pt) - return; - - sl = NormalizeDouble(sl, digits); - tp = NormalizeDouble(tp, digits); - g_trade.Buy(InpLots, _Symbol, ask, sl, tp, "Double bottom"); -} - -void TryEnterShortDoubleTop() -{ - int firstTop = -1; // older - int secondTop = -1; // newer - double neckline = 0.0; - double hiA = 0.0; - double hiB = 0.0; - - if(!FindDoubleTop(firstTop, secondTop, neckline, hiA, hiB)) - return; - - const int c = 1; - double close1 = iClose(_Symbol, InpTf, c); - if(close1 >= neckline) - return; // wait for neckline break confirmation - - double pt = SymbolInfoDouble(_Symbol, SYMBOL_POINT); - double stretched = hiB - g_emaFast[secondTop]; - if(stretched < InpMinEmaPriceDistPts * pt) - return; // no enough EMA/price displacement for reversal - - if(close1 >= g_emaFast[c]) - return; // keep confirmation strict: close below EMA fast - - if(InpUseHtfFilter && !(g_emaFastHtf[c] < g_emaSlowHtf[c])) - return; - - double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); - int digits = (int)SymbolInfoInteger(_Symbol, SYMBOL_DIGITS); - double sl = MathMax(hiA, hiB) + InpSlBufferPts * pt; - double tp = FindPreviousSupport(firstTop); - if(tp >= bid - pt) - return; - if(sl <= bid + pt) - return; - - sl = NormalizeDouble(sl, digits); - tp = NormalizeDouble(tp, digits); - g_trade.Sell(InpLots, _Symbol, bid, sl, tp, "Double top"); -} - -bool FindDoubleBottom(int &firstBottom, int &secondBottom, double &neckline, double &lowA, double &lowB) -{ - double pt = SymbolInfoDouble(_Symbol, SYMBOL_POINT); - int minShift = InpPivotRight + 1; - int maxShift = MathMin(InpPatternLookbackBars, Bars(_Symbol, InpTf) - InpPivotLeft - 2); - if(maxShift <= minShift + InpPivotLeft + InpPivotRight + 2) - return false; - - for(int newer = minShift; newer <= maxShift; newer++) - { - if(!IsPivotLow(newer)) - continue; - for(int older = newer + InpMinPatternSeparation; older <= maxShift; older++) - { - int sep = older - newer; - if(sep > InpMaxPatternSeparation) - break; - if(!IsPivotLow(older)) - continue; - - double lNew = iLow(_Symbol, InpTf, newer); - double lOld = iLow(_Symbol, InpTf, older); - if(MathAbs(lNew - lOld) > InpTopBottomTolPts * pt) - continue; - - double neck = HighestHighBetween(newer, older); - if(neck <= 0.0) - continue; - - firstBottom = older; - secondBottom = newer; - lowA = lOld; - lowB = lNew; - neckline = neck; - return true; - } - } - return false; -} - -bool FindDoubleTop(int &firstTop, int &secondTop, double &neckline, double &hiA, double &hiB) -{ - double pt = SymbolInfoDouble(_Symbol, SYMBOL_POINT); - int minShift = InpPivotRight + 1; - int maxShift = MathMin(InpPatternLookbackBars, Bars(_Symbol, InpTf) - InpPivotLeft - 2); - if(maxShift <= minShift + InpPivotLeft + InpPivotRight + 2) - return false; - - for(int newer = minShift; newer <= maxShift; newer++) - { - if(!IsPivotHigh(newer)) - continue; - for(int older = newer + InpMinPatternSeparation; older <= maxShift; older++) - { - int sep = older - newer; - if(sep > InpMaxPatternSeparation) - break; - if(!IsPivotHigh(older)) - continue; - - double hNew = iHigh(_Symbol, InpTf, newer); - double hOld = iHigh(_Symbol, InpTf, older); - if(MathAbs(hNew - hOld) > InpTopBottomTolPts * pt) - continue; - - double neck = LowestLowBetween(newer, older); - if(neck <= 0.0) - continue; - - firstTop = older; - secondTop = newer; - hiA = hOld; - hiB = hNew; - neckline = neck; - return true; - } - } - return false; -} - -bool IsPivotLow(const int shift) -{ - double v = iLow(_Symbol, InpTf, shift); - for(int i = 1; i <= InpPivotLeft; i++) - if(iLow(_Symbol, InpTf, shift + i) <= v) return false; - for(int i = 1; i <= InpPivotRight; i++) - if(iLow(_Symbol, InpTf, shift - i) < v) return false; - return true; -} - -bool IsPivotHigh(const int shift) -{ - double v = iHigh(_Symbol, InpTf, shift); - for(int i = 1; i <= InpPivotLeft; i++) - if(iHigh(_Symbol, InpTf, shift + i) >= v) return false; - for(int i = 1; i <= InpPivotRight; i++) - if(iHigh(_Symbol, InpTf, shift - i) > v) return false; - return true; -} - -double HighestHighBetween(const int shiftA, const int shiftB) -{ - int from = MathMin(shiftA, shiftB); - int to = MathMax(shiftA, shiftB); - double v = -DBL_MAX; - for(int i = from; i <= to; i++) - v = MathMax(v, iHigh(_Symbol, InpTf, i)); - return v; -} - -double LowestLowBetween(const int shiftA, const int shiftB) -{ - int from = MathMin(shiftA, shiftB); - int to = MathMax(shiftA, shiftB); - double v = DBL_MAX; - for(int i = from; i <= to; i++) - v = MathMin(v, iLow(_Symbol, InpTf, i)); - return v; -} - -double FindPreviousResistance(const int firstBottomShift) -{ - int start = firstBottomShift + 1; - int end = firstBottomShift + InpPrevLevelLookback; - int bars = Bars(_Symbol, InpTf); - end = MathMin(end, bars - 2); - if(start > end) - return 0.0; - - double r = -DBL_MAX; - for(int i = start; i <= end; i++) - r = MathMax(r, iHigh(_Symbol, InpTf, i)); - return r; -} - -double FindPreviousSupport(const int firstTopShift) -{ - int start = firstTopShift + 1; - int end = firstTopShift + InpPrevLevelLookback; - int bars = Bars(_Symbol, InpTf); - end = MathMin(end, bars - 2); - if(start > end) - return 0.0; - - double s = DBL_MAX; - for(int i = start; i <= end; i++) - s = MathMin(s, iLow(_Symbol, InpTf, i)); - return s; -} - -bool PositionExistsForMagic() -{ - for(int i = PositionsTotal() - 1; i >= 0; i--) - { - ulong ticket = PositionGetTicket(i); - if(ticket == 0) continue; - if(!PositionSelectByTicket(ticket)) continue; - if(PositionGetString(POSITION_SYMBOL) != _Symbol) continue; - if((ulong)PositionGetInteger(POSITION_MAGIC) == InpMagic) - return true; - } - return false; -} - -void SetTradeFillingBySymbol() -{ - long mask = SymbolInfoInteger(_Symbol, SYMBOL_FILLING_MODE); - if((mask & SYMBOL_FILLING_IOC) != 0) - g_trade.SetTypeFilling(ORDER_FILLING_IOC); - else if((mask & SYMBOL_FILLING_FOK) != 0) - g_trade.SetTypeFilling(ORDER_FILLING_FOK); - else - g_trade.SetTypeFilling(ORDER_FILLING_RETURN); -} diff --git a/lab/EAs/rsi-dual-martingale-hybrid.mq5 b/lab/EAs/rsi-dual-martingale-hybrid.mq5 deleted file mode 100644 index 066a3d3..0000000 --- a/lab/EAs/rsi-dual-martingale-hybrid.mq5 +++ /dev/null @@ -1,404 +0,0 @@ -//+------------------------------------------------------------------+ -//| rsi-dual-martingale-hybrid.mq5 | -//| Two robots: RSI reversal martingale + RSI midpoint trend helper | -//+------------------------------------------------------------------+ -#property copyright "Lab" -#property version "1.00" - -#include - -//--- core -input ENUM_TIMEFRAMES InpTf = PERIOD_M5; -input int InpRsiLen = 14; -input double InpRsiOverbought = 70.0; -input double InpRsiOversold = 30.0; -input double InpRsiMid = 50.0; - -//--- money -input double InpBaseLot = 0.01; -input int InpSlippagePts = 30; -input ulong InpMagicBase = 2026042501; - -//--- robot A: RSI reversal martingale -input bool InpEnableReversalMartingale = true; -input double InpMartingaleMult = 1.7; -input int InpMartingaleStepPts = 300; -input int InpMartingaleMaxLevels = 6; - -//--- robot B: reverse martingale trend follow (RSI cross midpoint) -input bool InpEnableTrendReverseMartingale = true; -input double InpTrendPyramidMult = 1.5; -input int InpTrendPyramidStepPts = 250; -input int InpTrendMaxLevels = 5; - -//--- rescue / coordination -input bool InpEnableRescue = true; -input double InpTroubleLossMoney = -8.0; // martingale basket in trouble below this -input double InpRescueLotMult = 2.0; // base lot multiplier for rescue trade -input int InpRescueCooldownBars = 3; - -CTrade g_trade; -int g_hRsi = INVALID_HANDLE; -double g_rsi[]; - -datetime g_lastBar = 0; -int g_lastRescueBarIndex = -1000000; - -enum RobotDirection -{ - DIR_NONE = 0, - DIR_BUY = 1, - DIR_SELL = -1 -}; - -// Magic map: -// base + 1 : reversal martingale basket -// base + 2 : trend reverse-martingale basket -// base + 3 : rescue positions -ulong MagicRev() { return InpMagicBase + 1; } -ulong MagicTrend() { return InpMagicBase + 2; } -ulong MagicRescue() { return InpMagicBase + 3; } - -int OnInit() -{ - g_trade.SetDeviationInPoints(InpSlippagePts); - SetTradeFillingBySymbol(); - - g_hRsi = iRSI(_Symbol, InpTf, InpRsiLen, PRICE_CLOSE); - if(g_hRsi == INVALID_HANDLE) - return INIT_FAILED; - - ArraySetAsSeries(g_rsi, true); - return INIT_SUCCEEDED; -} - -void OnDeinit(const int reason) -{ - if(g_hRsi != INVALID_HANDLE) - IndicatorRelease(g_hRsi); -} - -void OnTick() -{ - if(CopyBuffer(g_hRsi, 0, 0, 10, g_rsi) < 10) - return; - - // Rescue management can run every tick. - ManageRescueCoordination(); - - datetime t = iTime(_Symbol, InpTf, 0); - if(t == g_lastBar) - return; - g_lastBar = t; - - if(InpEnableReversalMartingale) - RunReversalMartingale(); - - if(InpEnableTrendReverseMartingale) - RunTrendReverseMartingale(); -} - -void RunReversalMartingale() -{ - ulong magic = MagicRev(); - int count = BasketCountByMagic(magic); - double rsi1 = g_rsi[1]; - - // No fixed TP/SL: close reversal basket when mean-reversion reaches RSI midpoint. - RobotDirection dir = BasketDirectionByMagic(magic); - if(count > 0 && - ((dir == DIR_BUY && rsi1 >= InpRsiMid) || - (dir == DIR_SELL && rsi1 <= InpRsiMid))) - { - CloseBasketByMagic(magic); - return; - } - - double rsi2 = g_rsi[2]; - - if(count == 0) - { - if(rsi2 < InpRsiOversold && rsi1 > InpRsiOversold) - { - OpenMarketByDirection(magic, DIR_BUY, NormalizeVolume(InpBaseLot), "REV start"); - return; - } - if(rsi2 > InpRsiOverbought && rsi1 < InpRsiOverbought) - { - OpenMarketByDirection(magic, DIR_SELL, NormalizeVolume(InpBaseLot), "REV start"); - return; - } - return; - } - - if(dir == DIR_NONE || count >= InpMartingaleMaxLevels) - return; - - double lastEntry = LastEntryPriceByMagic(magic); - double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); - double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); - double pt = SymbolInfoDouble(_Symbol, SYMBOL_POINT); - - bool adverseEnough = false; - if(dir == DIR_BUY) - adverseEnough = (lastEntry - bid) >= (InpMartingaleStepPts * pt); - else if(dir == DIR_SELL) - adverseEnough = (ask - lastEntry) >= (InpMartingaleStepPts * pt); - - if(!adverseEnough) - return; - - double lot = NormalizeVolume(InpBaseLot * MathPow(InpMartingaleMult, count)); - OpenMarketByDirection(magic, dir, lot, "REV scale"); -} - -void RunTrendReverseMartingale() -{ - ulong magic = MagicTrend(); - int count = BasketCountByMagic(magic); - RobotDirection dir = BasketDirectionByMagic(magic); - double basketProfit = BasketProfitByMagic(magic); - double rsi1 = g_rsi[1]; - double rsi2 = g_rsi[2]; - - // No fixed TP/SL: close trend basket when RSI crosses back through midpoint. - if(count > 0 && - ((dir == DIR_BUY && rsi2 > InpRsiMid && rsi1 < InpRsiMid) || - (dir == DIR_SELL && rsi2 < InpRsiMid && rsi1 > InpRsiMid))) - { - CloseBasketByMagic(magic); - return; - } - - if(count == 0) - { - if(rsi2 < InpRsiMid && rsi1 > InpRsiMid) - { - OpenMarketByDirection(magic, DIR_BUY, NormalizeVolume(InpBaseLot), "TREND cross"); - return; - } - if(rsi2 > InpRsiMid && rsi1 < InpRsiMid) - { - OpenMarketByDirection(magic, DIR_SELL, NormalizeVolume(InpBaseLot), "TREND cross"); - return; - } - return; - } - - if(dir == DIR_NONE || count >= InpTrendMaxLevels) - return; - if(basketProfit <= 0.0) - return; // reverse martingale: only add into winners - - double lastEntry = LastEntryPriceByMagic(magic); - double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); - double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); - double pt = SymbolInfoDouble(_Symbol, SYMBOL_POINT); - - bool favorableEnough = false; - if(dir == DIR_BUY) - favorableEnough = (bid - lastEntry) >= (InpTrendPyramidStepPts * pt); - else if(dir == DIR_SELL) - favorableEnough = (lastEntry - ask) >= (InpTrendPyramidStepPts * pt); - - if(!favorableEnough) - return; - - double lot = NormalizeVolume(InpBaseLot * MathPow(InpTrendPyramidMult, count)); - OpenMarketByDirection(magic, dir, lot, "TREND add"); -} - -void ManageRescueCoordination() -{ - if(!InpEnableRescue) - return; - - ulong mRev = MagicRev(); - ulong mRes = MagicRescue(); - - double revProfit = BasketProfitByMagic(mRev); - int revCount = BasketCountByMagic(mRev); - - if(revCount == 0) - { - CloseBasketByMagic(mRes); - return; - } - - // Phase 1: no fixed rescue TP/SL; close rescue on RSI midpoint recross against rescue direction. - RobotDirection rescueDir = BasketDirectionByMagic(mRes); - if(BasketCountByMagic(mRes) > 0 && - ((rescueDir == DIR_BUY && g_rsi[2] > InpRsiMid && g_rsi[1] < InpRsiMid) || - (rescueDir == DIR_SELL && g_rsi[2] < InpRsiMid && g_rsi[1] > InpRsiMid))) - { - ulong worstTicket = WorstTicketByMagic(mRev); - CloseBasketByMagic(mRes); - if(worstTicket != 0) - g_trade.PositionClose(worstTicket); - return; - } - - // Phase 2: if martingale basket is in trouble, launch one trend-aligned rescue trade. - if(revProfit > InpTroubleLossMoney) - return; - - if(BasketCountByMagic(mRes) > 0) - return; - - int barsNow = iBars(_Symbol, InpTf); - if((barsNow - g_lastRescueBarIndex) < InpRescueCooldownBars) - return; - - RobotDirection helperDir = (g_rsi[1] >= InpRsiMid ? DIR_BUY : DIR_SELL); - - // avoid adding rescue in same direction as losing reversal basket when RSI trend disagrees - RobotDirection revDir = BasketDirectionByMagic(mRev); - if(revDir == helperDir) - helperDir = (helperDir == DIR_BUY ? DIR_SELL : DIR_BUY); - - double lot = NormalizeVolume(InpBaseLot * InpRescueLotMult); - if(OpenMarketByDirection(mRes, helperDir, lot, "RESCUE")) - g_lastRescueBarIndex = barsNow; -} - -bool OpenMarketByDirection(const ulong magic, const RobotDirection dir, const double lot, const string comment) -{ - if(dir == DIR_NONE || lot <= 0.0) - return false; - - g_trade.SetExpertMagicNumber(magic); - - double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); - double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); - - if(dir == DIR_BUY) - return g_trade.Buy(lot, _Symbol, ask, 0.0, 0.0, comment); - return g_trade.Sell(lot, _Symbol, bid, 0.0, 0.0, comment); -} - -int BasketCountByMagic(const ulong magic) -{ - int n = 0; - for(int i = PositionsTotal() - 1; i >= 0; i--) - { - ulong ticket = PositionGetTicket(i); - if(ticket == 0) continue; - if(!PositionSelectByTicket(ticket)) continue; - if(PositionGetString(POSITION_SYMBOL) != _Symbol) continue; - if((ulong)PositionGetInteger(POSITION_MAGIC) != magic) continue; - n++; - } - return n; -} - -double BasketProfitByMagic(const ulong magic) -{ - double sum = 0.0; - for(int i = PositionsTotal() - 1; i >= 0; i--) - { - ulong ticket = PositionGetTicket(i); - if(ticket == 0) continue; - if(!PositionSelectByTicket(ticket)) continue; - if(PositionGetString(POSITION_SYMBOL) != _Symbol) continue; - if((ulong)PositionGetInteger(POSITION_MAGIC) != magic) continue; - sum += PositionGetDouble(POSITION_PROFIT); - } - return sum; -} - -RobotDirection BasketDirectionByMagic(const ulong magic) -{ - for(int i = PositionsTotal() - 1; i >= 0; i--) - { - ulong ticket = PositionGetTicket(i); - if(ticket == 0) continue; - if(!PositionSelectByTicket(ticket)) continue; - if(PositionGetString(POSITION_SYMBOL) != _Symbol) continue; - if((ulong)PositionGetInteger(POSITION_MAGIC) != magic) continue; - long type = PositionGetInteger(POSITION_TYPE); - return (type == POSITION_TYPE_BUY ? DIR_BUY : DIR_SELL); - } - return DIR_NONE; -} - -double LastEntryPriceByMagic(const ulong magic) -{ - datetime newest = 0; - double price = 0.0; - for(int i = PositionsTotal() - 1; i >= 0; i--) - { - ulong ticket = PositionGetTicket(i); - if(ticket == 0) continue; - if(!PositionSelectByTicket(ticket)) continue; - if(PositionGetString(POSITION_SYMBOL) != _Symbol) continue; - if((ulong)PositionGetInteger(POSITION_MAGIC) != magic) continue; - datetime t = (datetime)PositionGetInteger(POSITION_TIME); - if(t >= newest) - { - newest = t; - price = PositionGetDouble(POSITION_PRICE_OPEN); - } - } - return price; -} - -ulong WorstTicketByMagic(const ulong magic) -{ - double worstProfit = DBL_MAX; - ulong worstTicket = 0; - for(int i = PositionsTotal() - 1; i >= 0; i--) - { - ulong ticket = PositionGetTicket(i); - if(ticket == 0) continue; - if(!PositionSelectByTicket(ticket)) continue; - if(PositionGetString(POSITION_SYMBOL) != _Symbol) continue; - if((ulong)PositionGetInteger(POSITION_MAGIC) != magic) continue; - double p = PositionGetDouble(POSITION_PROFIT); - if(p < worstProfit) - { - worstProfit = p; - worstTicket = ticket; - } - } - return worstTicket; -} - -void CloseBasketByMagic(const ulong magic) -{ - for(int i = PositionsTotal() - 1; i >= 0; i--) - { - ulong ticket = PositionGetTicket(i); - if(ticket == 0) continue; - if(!PositionSelectByTicket(ticket)) continue; - if(PositionGetString(POSITION_SYMBOL) != _Symbol) continue; - if((ulong)PositionGetInteger(POSITION_MAGIC) != magic) continue; - g_trade.PositionClose(ticket); - } -} - -double NormalizeVolume(const double volRaw) -{ - double vMin = SymbolInfoDouble(_Symbol, SYMBOL_VOLUME_MIN); - double vMax = SymbolInfoDouble(_Symbol, SYMBOL_VOLUME_MAX); - double vStep = SymbolInfoDouble(_Symbol, SYMBOL_VOLUME_STEP); - if(vStep <= 0.0) - vStep = 0.01; - - double v = MathMax(vMin, MathMin(vMax, volRaw)); - v = MathFloor(v / vStep) * vStep; - int vd = 2; - if(vStep < 0.01) vd = 3; - if(vStep < 0.001) vd = 4; - return NormalizeDouble(v, vd); -} - -void SetTradeFillingBySymbol() -{ - long mask = SymbolInfoInteger(_Symbol, SYMBOL_FILLING_MODE); - if((mask & SYMBOL_FILLING_IOC) != 0) - g_trade.SetTypeFilling(ORDER_FILLING_IOC); - else if((mask & SYMBOL_FILLING_FOK) != 0) - g_trade.SetTypeFilling(ORDER_FILLING_FOK); - else - g_trade.SetTypeFilling(ORDER_FILLING_RETURN); -} diff --git a/lab/EAs/rsi-scalping.mq5 b/lab/EAs/rsi-scalping.mq5 deleted file mode 100644 index 71b76c6..0000000 --- a/lab/EAs/rsi-scalping.mq5 +++ /dev/null @@ -1,381 +0,0 @@ -//+------------------------------------------------------------------+ -//| rsi-scalping.mq5 | -//| Lab EA: EMA 9/21 + Stochastic RSI — M1 scalping rules (tutorial) | -//+------------------------------------------------------------------+ -#property copyright "Lab" -#property version "1.00" - -#include - -//--- inputs: indicator tuning (video defaults) -input ENUM_TIMEFRAMES InpTf = PERIOD_M1; // Chart / signal timeframe -input int InpEmaFast = 9; // EMA fast (short-term) -input int InpEmaSlow = 21; // EMA slow (trend) -input int InpRsiLen = 14; // RSI length (Stoch RSI core) -input int InpStochLen = 14; // Stochastic lookback on RSI -input int InpStochK = 4; // Stoch RSI %K smoothing -input int InpStochD = 7; // Stoch RSI %D smoothing -input double InpObLevel = 80.0; // Overbought line -input double InpOsLevel = 20.0; // Oversold line -//--- filters -input bool InpUseMidZoneFilter = true; // Skip if K,D in 40–60 (indecision) -input int InpMinBarsSinceCross = 10; // Min bars between EMA crosses -input bool InpUseHtfFilter = false; // Align with higher TF EMAs -input ENUM_TIMEFRAMES InpHtf = PERIOD_M5; // Higher timeframe -input double InpMinEmaSepPts = 0.0; // Min |EMA9-EMA21| in points (0=off) -//--- risk -input double InpLots = 0.01; -input int InpSlBufferPts = 20; // Extra SL beyond last 2-bar extreme -input double InpTpRiskMultiple = 1.75; // TP = risk * this (1.5–2.0 typical) -input bool InpExitOnEma9Break = true; // Close long if close < EMA9 (vice versa shorts) -input bool InpExitOnStochZone = true; // Close long at Stoch RSI ≥ OB; short at ≤ OS -//--- session -input ulong InpMagic = 20260412; -input int InpSlippagePts = 30; - -CTrade g_trade; - -int g_hEmaFast = INVALID_HANDLE; -int g_hEmaSlow = INVALID_HANDLE; -int g_hRsi = INVALID_HANDLE; -int g_hEmaFastHtf = INVALID_HANDLE; -int g_hEmaSlowHtf = INVALID_HANDLE; - -double g_emaFast[]; -double g_emaSlow[]; -double g_rsi[]; -double g_stochK[]; -double g_stochD[]; -double g_emaFastHtf[]; -double g_emaSlowHtf[]; - -//+------------------------------------------------------------------+ -int OnInit() -{ - g_trade.SetExpertMagicNumber(InpMagic); - g_trade.SetDeviationInPoints(InpSlippagePts); - SetTradeFillingBySymbol(); - - g_hEmaFast = iMA(_Symbol, InpTf, InpEmaFast, 0, MODE_EMA, PRICE_CLOSE); - g_hEmaSlow = iMA(_Symbol, InpTf, InpEmaSlow, 0, MODE_EMA, PRICE_CLOSE); - g_hRsi = iRSI(_Symbol, InpTf, InpRsiLen, PRICE_CLOSE); - if(InpUseHtfFilter) - { - g_hEmaFastHtf = iMA(_Symbol, InpHtf, InpEmaFast, 0, MODE_EMA, PRICE_CLOSE); - g_hEmaSlowHtf = iMA(_Symbol, InpHtf, InpEmaSlow, 0, MODE_EMA, PRICE_CLOSE); - } - - if(g_hEmaFast == INVALID_HANDLE || g_hEmaSlow == INVALID_HANDLE || g_hRsi == INVALID_HANDLE) - return INIT_FAILED; - if(InpUseHtfFilter && (g_hEmaFastHtf == INVALID_HANDLE || g_hEmaSlowHtf == INVALID_HANDLE)) - return INIT_FAILED; - - ArraySetAsSeries(g_emaFast, true); - ArraySetAsSeries(g_emaSlow, true); - ArraySetAsSeries(g_rsi, true); - ArraySetAsSeries(g_stochK, true); - ArraySetAsSeries(g_stochD, true); - ArraySetAsSeries(g_emaFastHtf, true); - ArraySetAsSeries(g_emaSlowHtf, true); - - return INIT_SUCCEEDED; -} - -//+------------------------------------------------------------------+ -void OnDeinit(const int reason) -{ - if(g_hEmaFast != INVALID_HANDLE) IndicatorRelease(g_hEmaFast); - if(g_hEmaSlow != INVALID_HANDLE) IndicatorRelease(g_hEmaSlow); - if(g_hRsi != INVALID_HANDLE) IndicatorRelease(g_hRsi); - if(g_hEmaFastHtf != INVALID_HANDLE) IndicatorRelease(g_hEmaFastHtf); - if(g_hEmaSlowHtf != INVALID_HANDLE) IndicatorRelease(g_hEmaSlowHtf); -} - -//+------------------------------------------------------------------+ -void OnTick() -{ - static datetime last_bar = 0; - datetime t = iTime(_Symbol, InpTf, 0); - if(t == last_bar) - { - // Still manage exits on tick if you use break-even / trailing — here bar-based only - return; - } - last_bar = t; - - const int need = 400; - if(CopyBuffer(g_hEmaFast, 0, 0, need, g_emaFast) < need) return; - if(CopyBuffer(g_hEmaSlow, 0, 0, need, g_emaSlow) < need) return; - if(CopyBuffer(g_hRsi, 0, 0, need + InpStochLen + InpStochK + InpStochD + 5, g_rsi) < need) return; - - if(!ComputeStochRsi(g_rsi, InpStochLen, InpStochK, InpStochD, g_stochK, g_stochD, need)) - return; - - if(InpUseHtfFilter) - { - if(CopyBuffer(g_hEmaFastHtf, 0, 0, 3, g_emaFastHtf) < 3) return; - if(CopyBuffer(g_hEmaSlowHtf, 0, 0, 3, g_emaSlowHtf) < 3) return; - } - - // bar 1 = last closed candle (tutorial: trade after confirmation candle closes) - const int c = 1; - const int p = 2; - - if(PositionExistsForMagic()) - { - ManageOpenPosition(c, p); - return; - } - - if(!PassesFlatEmaFilter(c)) - return; - - // Long: EMA9 crosses EMA21 up at bar 1 close; Stoch RSI K,D leave oversold with bullish K/D cross - const bool bull_cross = (g_emaFast[p] < g_emaSlow[p] && g_emaFast[c] > g_emaSlow[c]); - const bool bear_cross = (g_emaFast[p] > g_emaSlow[p] && g_emaFast[c] < g_emaSlow[c]); - - if(!bull_cross && !bear_cross) - return; - - if(InpUseHtfFilter) - { - if(bull_cross && !(g_emaFastHtf[c] > g_emaSlowHtf[c])) - return; - if(bear_cross && !(g_emaFastHtf[c] < g_emaSlowHtf[c])) - return; - } - - if(!MinBarsSincePreviousCrossOk()) - return; - - const bool stoch_long_ok = - (g_stochK[p] < InpOsLevel && g_stochD[p] < InpOsLevel) && - (g_stochK[c] > g_stochD[c] && g_stochK[p] <= g_stochD[p]) && - (g_stochK[c] > InpOsLevel * 0.9); // "left" oversold — allow ~18 if OS=20 - - const bool stoch_short_ok = - (g_stochK[p] > InpObLevel && g_stochD[p] > InpObLevel) && - (g_stochK[c] < g_stochD[c] && g_stochK[p] >= g_stochD[p]) && - (g_stochK[c] < InpObLevel * 1.05); - - if(InpUseMidZoneFilter) - { - if(g_stochK[c] > 40.0 && g_stochK[c] < 60.0 && g_stochD[c] > 40.0 && g_stochD[c] < 60.0) - return; - } - - if(bull_cross && stoch_long_ok) - { - double ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK); - double pt = SymbolInfoDouble(_Symbol, SYMBOL_POINT); - int dg = (int)SymbolInfoInteger(_Symbol, SYMBOL_DIGITS); - double low12 = MathMin(iLow(_Symbol, InpTf, c), iLow(_Symbol, InpTf, p)); - double sl = low12 - InpSlBufferPts * pt; - sl = NormalizeDouble(sl, dg); - if(sl >= ask - pt) - sl = ask - 10 * pt; - double risk = ask - sl; - if(risk <= 0) return; - double tp = ask + risk * InpTpRiskMultiple; - tp = NormalizeDouble(tp, dg); - g_trade.Buy(InpLots, _Symbol, ask, sl, tp, "EMA+StochRSI long"); - return; - } - - if(bear_cross && stoch_short_ok) - { - double bid = SymbolInfoDouble(_Symbol, SYMBOL_BID); - double pt = SymbolInfoDouble(_Symbol, SYMBOL_POINT); - int dg = (int)SymbolInfoInteger(_Symbol, SYMBOL_DIGITS); - double hi12 = MathMax(iHigh(_Symbol, InpTf, c), iHigh(_Symbol, InpTf, p)); - double sl = hi12 + InpSlBufferPts * pt; - sl = NormalizeDouble(sl, dg); - if(sl <= bid + pt) - sl = bid + 10 * pt; - double risk = sl - bid; - if(risk <= 0) return; - double tp = bid - risk * InpTpRiskMultiple; - tp = NormalizeDouble(tp, dg); - g_trade.Sell(InpLots, _Symbol, bid, sl, tp, "EMA+StochRSI short"); - } -} - -//+------------------------------------------------------------------+ -bool ComputeStochRsi(const double &rsi[], const int stoch_len, const int k_len, const int d_len, - double &out_k[], double &out_d[], const int out_count) -{ - int rsi_count = ArraySize(rsi); - static double raw[]; - ArrayResize(raw, rsi_count); - ArraySetAsSeries(raw, true); - - for(int i = 0; i < rsi_count; i++) - { - if(i + stoch_len > rsi_count) - { - raw[i] = 50.0; - continue; - } - double lo = rsi[i]; - double hi = rsi[i]; - for(int j = 0; j < stoch_len; j++) - { - double v = rsi[i + j]; - if(v < lo) lo = v; - if(v > hi) hi = v; - } - if(hi == lo) - raw[i] = 50.0; - else - raw[i] = (rsi[i] - lo) / (hi - lo) * 100.0; - } - - ArrayResize(out_k, out_count); - ArrayResize(out_d, out_count); - ArraySetAsSeries(out_k, true); - ArraySetAsSeries(out_d, true); - - static double k_unsm[]; - ArrayResize(k_unsm, rsi_count); - ArraySetAsSeries(k_unsm, true); - - for(int i = 0; i < rsi_count; i++) - { - if(i + k_len > rsi_count) - { - k_unsm[i] = raw[i]; - continue; - } - double s = 0.0; - for(int j = 0; j < k_len; j++) - s += raw[i + j]; - k_unsm[i] = s / (double)k_len; - } - - for(int i = 0; i < out_count; i++) - { - if(i + d_len > rsi_count) - { - out_k[i] = k_unsm[i]; - out_d[i] = k_unsm[i]; - continue; - } - double sk = 0.0; - for(int j = 0; j < d_len; j++) - sk += k_unsm[i + j]; - out_d[i] = sk / (double)d_len; - out_k[i] = k_unsm[i]; - } - return true; -} - -//+------------------------------------------------------------------+ -bool PassesFlatEmaFilter(const int c) -{ - if(InpMinEmaSepPts <= 0.0) - return true; - double pt = SymbolInfoDouble(_Symbol, SYMBOL_POINT); - double sep = MathAbs(g_emaFast[c] - g_emaSlow[c]) / pt; - return (sep >= InpMinEmaSepPts); -} - -//+------------------------------------------------------------------+ -bool MinBarsSincePreviousCrossOk() -{ - if(InpMinBarsSinceCross <= 0) - return true; - // Cross under test completed on bar 1 (index c=1): between shift 2 and 1. - // Earliest earlier cross: between i+1 and i for i >= 3. - for(int i = 3; i < 300; i++) - { - const bool cu = (g_emaFast[i + 1] < g_emaSlow[i + 1] && g_emaFast[i] > g_emaSlow[i]); - const bool cd = (g_emaFast[i + 1] > g_emaSlow[i + 1] && g_emaFast[i] < g_emaSlow[i]); - if(cu || cd) - return (i - 1 >= InpMinBarsSinceCross); - } - return true; -} - -//+------------------------------------------------------------------+ -bool PositionExistsForMagic() -{ - for(int i = PositionsTotal() - 1; i >= 0; i--) - { - ulong ticket = PositionGetTicket(i); - if(ticket == 0) continue; - if(!PositionSelectByTicket(ticket)) continue; - if(PositionGetString(POSITION_SYMBOL) != _Symbol) continue; - if((ulong)PositionGetInteger(POSITION_MAGIC) == InpMagic) - return true; - } - return false; -} - -//+------------------------------------------------------------------+ -void SetTradeFillingBySymbol() -{ - long mask = SymbolInfoInteger(_Symbol, SYMBOL_FILLING_MODE); - if((mask & SYMBOL_FILLING_IOC) != 0) - g_trade.SetTypeFilling(ORDER_FILLING_IOC); - else if((mask & SYMBOL_FILLING_FOK) != 0) - g_trade.SetTypeFilling(ORDER_FILLING_FOK); - else - g_trade.SetTypeFilling(ORDER_FILLING_RETURN); -} - -//+------------------------------------------------------------------+ -void ManageOpenPosition(const int c, const int p) -{ - if(!PositionSelectBySymbolForMagic()) - return; - ulong ticket = (ulong)PositionGetInteger(POSITION_TICKET); - long type = PositionGetInteger(POSITION_TYPE); - double k1 = g_stochK[c]; - double d1 = g_stochD[c]; - - if(InpExitOnEma9Break) - { - double close1 = iClose(_Symbol, InpTf, c); - if(type == POSITION_TYPE_BUY && close1 < g_emaFast[c]) - { - g_trade.PositionClose(ticket); - return; - } - if(type == POSITION_TYPE_SELL && close1 > g_emaFast[c]) - { - g_trade.PositionClose(ticket); - return; - } - } - - if(InpExitOnStochZone) - { - if(type == POSITION_TYPE_BUY && k1 >= InpObLevel && d1 >= InpObLevel * 0.95) - { - g_trade.PositionClose(ticket); - return; - } - if(type == POSITION_TYPE_SELL && k1 <= InpOsLevel && d1 <= InpOsLevel * 1.05) - { - g_trade.PositionClose(ticket); - return; - } - } -} - -//+------------------------------------------------------------------+ -bool PositionSelectBySymbolForMagic() -{ - for(int i = PositionsTotal() - 1; i >= 0; i--) - { - ulong t = PositionGetTicket(i); - if(t == 0) continue; - if(!PositionSelectByTicket(t)) continue; - if(PositionGetString(POSITION_SYMBOL) != _Symbol) continue; - if((ulong)PositionGetInteger(POSITION_MAGIC) == InpMagic) - return true; - } - return false; -} - -//+------------------------------------------------------------------+ diff --git a/lab/EAs/rsiDivergence.mq5 b/lab/EAs/rsiDivergence.mq5 deleted file mode 100644 index ea2527c..0000000 --- a/lab/EAs/rsiDivergence.mq5 +++ /dev/null @@ -1,384 +0,0 @@ -//+------------------------------------------------------------------+ -//| rsiDivergence.mq5 | -//| Lab EA: RSI divergence + EMA distance filter | -//+------------------------------------------------------------------+ -#property copyright "Lab" -#property version "1.00" -#property strict - -#include - -input group "=== Market ===" -input string InpSymbol = ""; -input ENUM_TIMEFRAMES InpTf = PERIOD_CURRENT; -input double InpLots = 0.01; -input ulong InpMagic = 202604231; -input int InpSlippagePts = 30; -input int InpMaxPositions = 1; -input bool InpRequireFlat = true; // no new entry while any position with this magic exists - -input group "=== Indicators ===" -input int InpRsiPeriod = 14; -input int InpEmaPeriod = 200; - -input group "=== Swing / divergence ===" -input int InpPivotRadius = 2; // bars each side; pivot confirms after radius closes -input int InpSwingLookback = 80; // search swings within [radius+1 .. lookback] -input int InpMinPivotGap = 3; // min bars between the two swings used for a pair - -input group "=== EMA distance (entry filter) ===" -input double InpMinEmaDistPtsBuy = 80.0; // buy: (EMA - close) / _Point >= this on signal bar -input double InpMinEmaDistPtsSell = 80.0; // sell: (close - EMA) / _Point >= this - -input group "=== Risk ===" -input bool InpUseSLTP = true; // off = naked positions (can run years until margin stop) -input double InpSLPts = 500.0; // points; tune per symbol (_Point) -input double InpTPPts = 1000.0; -input int InpMaxHoldBars = 0; // 0=off; else close position after this many bars open (signal TF) - -CTrade g_trade; -int g_hRsi = INVALID_HANDLE; -int g_hEma = INVALID_HANDLE; -datetime g_lastBar = 0; -datetime g_lastBuyPivotNew = 0; -datetime g_lastBuyPivotOld = 0; -datetime g_lastSellPivotNew = 0; -datetime g_lastSellPivotOld = 0; - -string WorkSymbol() -{ - if(StringLen(InpSymbol) > 0) - return InpSymbol; - return _Symbol; -} - -ENUM_TIMEFRAMES WorkTf() -{ - if(InpTf == PERIOD_CURRENT) - return (ENUM_TIMEFRAMES)_Period; - return InpTf; -} - -void SetFilling() -{ - const long fill = SymbolInfoInteger(WorkSymbol(), SYMBOL_FILLING_MODE); - if((fill & SYMBOL_FILLING_FOK) == SYMBOL_FILLING_FOK) - g_trade.SetTypeFilling(ORDER_FILLING_FOK); - else if((fill & SYMBOL_FILLING_IOC) == SYMBOL_FILLING_IOC) - g_trade.SetTypeFilling(ORDER_FILLING_IOC); -} - -bool CopyRsiEma(const int bars, double &rsi[], double &ema[]) -{ - ArrayResize(rsi, bars); - ArrayResize(ema, bars); - ArraySetAsSeries(rsi, true); - ArraySetAsSeries(ema, true); - if(CopyBuffer(g_hRsi, 0, 0, bars, rsi) < bars) - return false; - if(CopyBuffer(g_hEma, 0, 0, bars, ema) < bars) - return false; - return true; -} - -bool IsSwingLow(const int s, const int r) -{ - if(s < r + 1) - return false; - const string sym = WorkSymbol(); - const ENUM_TIMEFRAMES tf = WorkTf(); - double lv = iLow(sym, tf, s); - for(int k = -r; k <= r; k++) - { - if(k == 0) - continue; - if(iLow(sym, tf, s + k) <= lv) - return false; - } - return true; -} - -bool IsSwingHigh(const int s, const int r) -{ - if(s < r + 1) - return false; - const string sym = WorkSymbol(); - const ENUM_TIMEFRAMES tf = WorkTf(); - double hv = iHigh(sym, tf, s); - for(int k = -r; k <= r; k++) - { - if(k == 0) - continue; - if(iHigh(sym, tf, s + k) >= hv) - return false; - } - return true; -} - -bool CollectSwingLows(int &outSwings[], const int r, const int lookback) -{ - ArrayResize(outSwings, 0); - const int from = r + 1; - if(lookback <= from) - return false; - for(int s = from; s <= lookback; s++) - { - if(!IsSwingLow(s, r)) - continue; - int n = ArraySize(outSwings); - ArrayResize(outSwings, n + 1); - outSwings[n] = s; - } - return ArraySize(outSwings) >= 2; -} - -bool CollectSwingHighs(int &outSwings[], const int r, const int lookback) -{ - ArrayResize(outSwings, 0); - const int from = r + 1; - if(lookback <= from) - return false; - for(int s = from; s <= lookback; s++) - { - if(!IsSwingHigh(s, r)) - continue; - int n = ArraySize(outSwings); - ArrayResize(outSwings, n + 1); - outSwings[n] = s; - } - return ArraySize(outSwings) >= 2; -} - -void SortSwingsAscending(int &sw[]) -{ - int n = ArraySize(sw); - for(int i = 0; i < n - 1; i++) - for(int j = i + 1; j < n; j++) - if(sw[i] > sw[j]) - { - int t = sw[i]; - sw[i] = sw[j]; - sw[j] = t; - } -} - -bool BullishDivergence(const double &rsi[], const int r, const int lookback, int &sNew, int &sOld) -{ - int swings[]; - if(!CollectSwingLows(swings, r, lookback)) - return false; - SortSwingsAscending(swings); - const int n = ArraySize(swings); - sNew = swings[0]; - sOld = swings[1]; - if(sOld - sNew < InpMinPivotGap) - return false; - const string sym = WorkSymbol(); - const ENUM_TIMEFRAMES tf = WorkTf(); - const double lowNew = iLow(sym, tf, sNew); - const double lowOld = iLow(sym, tf, sOld); - if(lowNew >= lowOld) - return false; - if(rsi[sNew] <= rsi[sOld]) - return false; - return true; -} - -bool BearishDivergence(const double &rsi[], const int r, const int lookback, int &sNew, int &sOld) -{ - int swings[]; - if(!CollectSwingHighs(swings, r, lookback)) - return false; - SortSwingsAscending(swings); - sNew = swings[0]; - sOld = swings[1]; - if(sOld - sNew < InpMinPivotGap) - return false; - const string sym = WorkSymbol(); - const ENUM_TIMEFRAMES tf = WorkTf(); - const double hiNew = iHigh(sym, tf, sNew); - const double hiOld = iHigh(sym, tf, sOld); - if(hiNew <= hiOld) - return false; - if(rsi[sNew] >= rsi[sOld]) - return false; - return true; -} - -bool EmaDistanceBuyOk(const double &ema[], const int barShift) -{ - const string sym = WorkSymbol(); - const ENUM_TIMEFRAMES tf = WorkTf(); - const double c = iClose(sym, tf, barShift); - if(c <= 0.0 || ema[barShift] <= 0.0) - return false; - const double pts = (ema[barShift] - c) / _Point; - return (pts >= InpMinEmaDistPtsBuy); -} - -bool EmaDistanceSellOk(const double &ema[], const int barShift) -{ - const string sym = WorkSymbol(); - const ENUM_TIMEFRAMES tf = WorkTf(); - const double c = iClose(sym, tf, barShift); - if(c <= 0.0 || ema[barShift] <= 0.0) - return false; - const double pts = (c - ema[barShift]) / _Point; - return (pts >= InpMinEmaDistPtsSell); -} - -int CountOurPositions() -{ - const string sym = WorkSymbol(); - int c = 0; - for(int i = PositionsTotal() - 1; i >= 0; i--) - { - const ulong ticket = PositionGetTicket(i); - if(ticket == 0 || !PositionSelectByTicket(ticket)) - continue; - if(PositionGetString(POSITION_SYMBOL) != sym) - continue; - if((ulong)PositionGetInteger(POSITION_MAGIC) != InpMagic) - continue; - c++; - } - return c; -} - -void ManageMaxHoldBars() -{ - if(InpMaxHoldBars <= 0) - return; - const string sym = WorkSymbol(); - const ENUM_TIMEFRAMES tf = WorkTf(); - - for(int i = PositionsTotal() - 1; i >= 0; i--) - { - const ulong ticket = PositionGetTicket(i); - if(ticket == 0 || !PositionSelectByTicket(ticket)) - continue; - if(PositionGetString(POSITION_SYMBOL) != sym) - continue; - if((ulong)PositionGetInteger(POSITION_MAGIC) != InpMagic) - continue; - - const datetime openTime = (datetime)PositionGetInteger(POSITION_TIME); - const int sh = iBarShift(sym, tf, openTime); - if(sh < 0) - continue; - if(sh >= InpMaxHoldBars) - g_trade.PositionClose(ticket); - } -} - -void BuildSLTP(const bool isBuy, const double price, double &sl, double &tp) -{ - sl = tp = 0.0; - if(!InpUseSLTP) - return; - if(isBuy) - { - sl = price - InpSLPts * _Point; - tp = price + InpTPPts * _Point; - } - else - { - sl = price + InpSLPts * _Point; - tp = price - InpTPPts * _Point; - } -} - -int OnInit() -{ - const string sym = WorkSymbol(); - const ENUM_TIMEFRAMES tf = WorkTf(); - if(!SymbolSelect(sym, true)) - Print("rsiDivergence: SymbolSelect note for ", sym); - - g_hRsi = iRSI(sym, tf, InpRsiPeriod, PRICE_CLOSE); - g_hEma = iMA(sym, tf, InpEmaPeriod, 0, MODE_EMA, PRICE_CLOSE); - if(g_hRsi == INVALID_HANDLE || g_hEma == INVALID_HANDLE) - return INIT_FAILED; - - g_trade.SetExpertMagicNumber(InpMagic); - g_trade.SetDeviationInPoints(InpSlippagePts); - SetFilling(); - return INIT_SUCCEEDED; -} - -void OnDeinit(const int reason) -{ - if(g_hRsi != INVALID_HANDLE) IndicatorRelease(g_hRsi); - if(g_hEma != INVALID_HANDLE) IndicatorRelease(g_hEma); -} - -void OnTick() -{ - const string sym = WorkSymbol(); - const ENUM_TIMEFRAMES tf = WorkTf(); - - ManageMaxHoldBars(); - - datetime t = iTime(sym, tf, 0); - if(t == 0 || t == g_lastBar) - return; - g_lastBar = t; - - const int need = InpSwingLookback + InpPivotRadius + 5; - double rsi[], ema[]; - if(!CopyRsiEma(need, rsi, ema)) - return; - - const int openN = CountOurPositions(); - if(openN >= InpMaxPositions) - return; - if(InpRequireFlat && openN > 0) - return; - - const int r = MathMax(1, InpPivotRadius); - const int lb = MathMax(r + 3, InpSwingLookback); - - int sNew = 0, sOld = 0; - MqlTick tick; - if(!SymbolInfoTick(sym, tick)) - return; - - if(BullishDivergence(rsi, r, lb, sNew, sOld) && EmaDistanceBuyOk(ema, 1)) - { - const datetime tPivotNew = iTime(sym, tf, sNew); - const datetime tPivotOld = iTime(sym, tf, sOld); - if(tPivotNew == 0 || tPivotOld == 0) - return; - if(tPivotNew == g_lastBuyPivotNew && tPivotOld == g_lastBuyPivotOld) - return; - - double sl, tp; - BuildSLTP(true, tick.ask, sl, tp); - if(g_trade.Buy(InpLots, sym, tick.ask, sl, tp, "RSI div+EMA buy")) - { - g_lastBuyPivotNew = tPivotNew; - g_lastBuyPivotOld = tPivotOld; - Print("Buy RSI div: swings ", sOld, "->", sNew, " pivots ", TimeToString(tPivotOld), " -> ", TimeToString(tPivotNew)); - } - return; - } - - if(BearishDivergence(rsi, r, lb, sNew, sOld) && EmaDistanceSellOk(ema, 1)) - { - const datetime tPivotNew = iTime(sym, tf, sNew); - const datetime tPivotOld = iTime(sym, tf, sOld); - if(tPivotNew == 0 || tPivotOld == 0) - return; - if(tPivotNew == g_lastSellPivotNew && tPivotOld == g_lastSellPivotOld) - return; - - double sl, tp; - BuildSLTP(false, tick.bid, sl, tp); - if(g_trade.Sell(InpLots, sym, tick.bid, sl, tp, "RSI div+EMA sell")) - { - g_lastSellPivotNew = tPivotNew; - g_lastSellPivotOld = tPivotOld; - Print("Sell RSI div: swings ", sOld, "->", sNew, " pivots ", TimeToString(tPivotOld), " -> ", TimeToString(tPivotNew)); - } - } -} diff --git a/lab/EAs/rsiDivergence_XAUUSD.set b/lab/EAs/rsiDivergence_XAUUSD.set deleted file mode 100644 index 55397f5..0000000 --- a/lab/EAs/rsiDivergence_XAUUSD.set +++ /dev/null @@ -1,29 +0,0 @@ -; rsiDivergence.mq5 — XAUUSD test / optimization preset -; Strategy Tester → Inputs → Load. If your server lists "XAU" not "XAUUSD", change InpSymbol only. -; -; value||start||step||stop||Y|N (MT5 convention) -; InpTf: 0 = chart timeframe (PERIOD_CURRENT). Attach EA to XAUUSD chart at desired TF (e.g. H1). -; -; === Market === -InpSymbol=XAUUSD -InpTf=0||0||0||49153||N -InpLots=0.01||0.01||0.01||0.20||N -InpMagic=930204||930204||1||9302040||N -InpSlippagePts=80||30||10||400||N -InpMaxPositions=1||1||1||4||N -InpRequireFlat=true||false||0||true||N -; === Indicators === -InpRsiPeriod=14||7||1||28||Y -InpEmaPeriod=200||50||10||400||Y -; === Swing / divergence === -InpPivotRadius=2||2||1||8||N -InpSwingLookback=120||60||10||300||Y -InpMinPivotGap=3||2||1||15||Y -; === EMA distance (entry filter) — gold: wider point ranges than FX === -InpMinEmaDistPtsBuy=200.0||50.0||25.0||2500.0||Y -InpMinEmaDistPtsSell=200.0||50.0||25.0||2500.0||Y -; === Risk === -InpUseSLTP=true||false||0||true||N -InpSLPts=800.0||300.0||50.0||5000.0||Y -InpTPPts=1600.0||500.0||100.0||10000.0||Y -InpMaxHoldBars=48||0||8||240||Y diff --git a/lab/EAs/rsisauce-optimize.set b/lab/EAs/rsisauce-optimize.set deleted file mode 100644 index d0dc530..0000000 --- a/lab/EAs/rsisauce-optimize.set +++ /dev/null @@ -1,25 +0,0 @@ -; saved for genetic optimization — rsi-scalping (rsisauce) lab EA -; copy to: ...\MQL5\Profiles\Tester\ then Load from Inputs tab -; last field: Y = optimize, N = fixed -; -InpTf=1||0||0||49153||N -InpEmaFast=9||5||1||15||Y -InpEmaSlow=21||15||1||34||Y -InpRsiLen=14||10||1||21||Y -InpStochLen=14||8||1||24||Y -InpStochK=4||3||1||8||Y -InpStochD=7||3||1||12||Y -InpObLevel=80.0||72.0||1.0||88.0||Y -InpOsLevel=20.0||12.0||1.0||28.0||Y -InpUseMidZoneFilter=true||false||0||true||N -InpMinBarsSinceCross=10||4||1||18||Y -InpUseHtfFilter=false||false||0||true||N -InpHtf=5||0||0||49153||N -InpMinEmaSepPts=0.0||0.0||2.0||40.0||Y -InpLots=0.01||0.01||0.001000||0.100000||N -InpSlBufferPts=20||5||2||60||Y -InpTpRiskMultiple=1.75||1.25||0.05||2.50||Y -InpExitOnEma9Break=true||false||0||true||N -InpExitOnStochZone=true||false||0||true||N -InpMagic=20260412||20260412||1||202604120||N -InpSlippagePts=30||30||1||300||N diff --git 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