feat: MT5-Quant MCP server for backtesting and optimization

MCP server exposing MetaTrader 5 strategy development tools to AI
assistants (Claude, Cursor, etc.) on macOS (CrossOver) and Linux (Wine).

Tools:
- run_backtest: full pipeline — compile EA, clean cache, backtest,
  parse HTML/XML report, analyze deals → metrics.json + analysis.json
- run_optimization: background genetic optimization with nohup/disown,
  UTF-16LE .set file handling, OptMode reset
- compile_ea: MQL5 compilation via MetaEditor with auto-detected
  include/ directory sync
- get_backtest_status / get_optimization_status: job polling
- verify_environment: Wine/MT5 path validation

Analytics:
- extract.py: MT5 HTML and SpreadsheetML XML report parser
- analyze.py: deal-level analysis (drawdown events, grid depth,
  loss sequences, monthly P&L) → analysis.json
- optimize_parser.py: optimization result parser with convergence analysis

Platform support:
- macOS CrossOver (GUI mode, no Xvfb needed)
- Linux Wine + Xvfb (headless, CI/CD compatible)
- Auto-detection of Wine executable and MT5 terminal paths
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# Python
__pycache__/
*.py[cod]
*.egg-info/
dist/
build/
.venv/
venv/
# Reports (generated, not tracked)
reports/20*/
reports/*_opt/
# Job metadata
.mt5mcp_jobs/
# Config (contains local paths)
config/mt5-quant.yaml
config/baseline.json
config/backtest_history.json
# Claude Code (personal, not for repo)
CLAUDE.md
# macOS
.DS_Store
# Logs
*.log
/tmp/mt5opt_*
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# MT5-Quant
**The MCP server for MT5 strategy development — not live trading.**
Most MT5 MCP servers let an AI place orders. MT5-Quant lets an AI *build the strategy*: compile an Expert Advisor, run a backtest, parse the report, analyze every deal, and optimize parameters — all in one conversation, on **macOS or Linux**, without a Windows machine.
```
You: "Run a backtest from Jan to March and tell me what caused the drawdown spike in February"
Claude: [compile → clean cache → backtest → parse XML report → analyze 1,847 deals]
Worst DD event: Feb 14, BUY grid at L6.
Locking hedge placed into a trending adverse move. Locking lot 1.75× base.
Cutloss fired 17 price points later.
Recommendation: cap locking lot multiplier to ≤1.2× to prevent cascade on adverse trend.
```
### How MT5-Quant is different
| | MT5-Quant | Other MT5 MCPs¹ | QuantConnect MCP | ai-trader |
|---|---|---|---|---|
| **Backtest via MCP** | ✅ full pipeline | ❌ | ✅ cloud only | ✅ Python only |
| **EA optimization via MCP** | ✅ genetic, background | ❌ | ✅ cloud only | ❌ |
| **Deal-level analytics** | ✅ 15+ dimensions | ❌ | ❌ | ❌ |
| **MQL5 EA compilation** | ✅ | ❌ | ❌ | ❌ |
| **macOS + Linux** | ✅ | ❌ Windows only | ❌ cloud | ✅ |
| **Headless / CI-CD** | ✅ Xvfb | ❌ | ❌ | ✅ |
| **Offline / no subscription** | ✅ | ✅ | ❌ paid cloud | ✅ |
| **MT5 .set file tooling** | ✅ 8 tools | ❌ | ❌ | ❌ |
| **Backtest history ledger** | ✅ JSON archive | ❌ | ✅ | ❌ |
¹ *ariadng/metatrader-mcp-server, Qoyyuum/mcp-metatrader5-server, Cloudmeru/MetaTrader-5-MCP-Server — all live-trading execution bridges, Windows-only.*
### What it covers
28 MCP tools across the full EA development loop:
```
list_set_files / describe_sweep / patch_set_file / set_from_optimization
↓ prepare parameters
compile_ea
↓ build .ex5
run_backtest (compile → clean cache → MT5 tester → extract HTML/XML → analyze deals)
↓ fresh results
analyze_report / compare_baseline / get_history
↓ evaluate and record
archive_report(delete_after=true) → promote_to_baseline
↓ clean up, lock in new production reference
run_optimization (background, nohup — takes hours)
↓ when MT5 finishes
get_optimization_results → set_from_optimization → run_backtest (verify)
```
The AI drives every step. You watch and approve.
---
## Quickstart
### 1. Clone and install
```bash
git clone https://github.com/masdevid/mt5-mcp
cd mt5-mcp
python3 -m venv .venv && source .venv/bin/activate
pip install -e .
```
> **Python 3.11+** required. The venv is optional but recommended.
### 2. Install MetaTrader 5
MT5 runs under Wine on both macOS and Linux. Two supported paths:
**macOS — MetaTrader 5.app (recommended, free)**
Download from [metatrader5.com](https://www.metatrader5.com/en/download) and install to `/Applications`. Launch it once so it initializes the Wine prefix (~30 s), then quit.
Wine binary auto-detected at:
```
/Applications/MetaTrader 5.app/Contents/SharedSupport/wine/bin/wine64
```
MT5 prefix auto-detected at:
```
~/Library/Application Support/net.metaquotes.wine.metatrader5/drive_c/Program Files/MetaTrader 5
```
**macOS — CrossOver (paid, better Wine compatibility)**
Install [CrossOver](https://www.codeweavers.com/), create a bottle named `MetaTrader5`, install MT5 inside it.
Wine binary:
```
/Applications/CrossOver.app/Contents/SharedSupport/CrossOver/bin/wine64
```
MT5 prefix (CrossOver 24+):
```
~/Library/Application Support/MetaQuotes/<hash>/drive_c/Program Files/MetaTrader 5
```
> **Apple Silicon (M1/M2/M3):** `setup.sh` automatically prepends `arch -x86_64` to all Wine calls. No manual action needed.
**Linux**
```bash
sudo apt install wine64 xvfb # Debian/Ubuntu
# or
sudo dnf install wine xorg-x11-server-Xvfb # Fedora/RHEL
# Install MT5 under Wine
wine64 MetaTrader5Setup.exe
```
MT5 prefix auto-detected at:
```
~/.wine/drive_c/Program Files/MetaTrader 5
```
### 3. Configure
```bash
bash scripts/setup.sh # auto-detects paths and writes config
bash scripts/setup.sh --yes # non-interactive (CI / fresh machine)
```
`setup.sh` writes `config/mt5-quant.yaml`. To configure manually, copy the example:
```bash
cp config/mt5-quant.example.yaml config/mt5-quant.yaml
```
Minimum required fields:
```yaml
# macOS (MetaTrader 5.app)
wine_executable: "/Applications/MetaTrader 5.app/Contents/SharedSupport/wine/bin/wine64"
terminal_dir: "~/Library/Application Support/net.metaquotes.wine.metatrader5/drive_c/Program Files/MetaTrader 5"
# Linux
# wine_executable: "/usr/bin/wine64"
# terminal_dir: "~/.wine/drive_c/Program Files/MetaTrader 5"
```
### 4. Register the MCP server
```bash
# Add to Claude Code (adjust path to where you cloned the repo)
claude mcp add MT5-Quant -- python3 /path/to/mt5-quant/server/main.py
# Or with the venv python explicitly:
claude mcp add MT5-Quant -- /path/to/mt5-quant/.venv/bin/python3 /path/to/mt5-quant/server/main.py
```
`setup.sh` runs this automatically. To check registration:
```bash
claude mcp list
```
Expected output:
```
MT5-Quant: python3 /path/to/mt5-quant/server/main.py
```
**Claude Code integration files** (CLAUDE.md template + baseline hook):
```bash
bash scripts/setup.sh --claude-code
```
### 5. Verify
```bash
bash scripts/platform_detect.sh
```
Expected output (macOS):
```
Wine: /Applications/MetaTrader 5.app/Contents/SharedSupport/wine/bin/wine64
MT5 dir: ~/Library/Application Support/net.metaquotes.wine.metatrader5/.../MetaTrader 5
Display: gui
Arch: arch -x86_64 ← Apple Silicon only
```
Or from Claude: *"Run verify_setup"*
### 6. Run a backtest
```
Run a backtest on MyEA from 2025.01.01 to 2025.06.30
```
---
## Headless Support
| Platform | `display.mode` | Notes |
|----------|---------------|-------|
| macOS (MT5.app or CrossOver) | `auto` | Wine handles display internally — no Xvfb needed |
| Linux with `$DISPLAY` set | `auto` | Uses existing X11 session |
| Linux VPS / CI (no monitor) | `headless` | Auto-starts Xvfb on `:99` |
**Linux headless setup:**
```bash
sudo apt install xvfb
```
Then set in `config/mt5-quant.yaml`:
```yaml
display:
mode: headless
xvfb_display: ":99"
xvfb_screen: "1024x768x16"
```
`platform_detect.sh` starts Xvfb automatically before each backtest run. To test manually:
```bash
Xvfb :99 -screen 0 1024x768x16 &
DISPLAY=:99 xdpyinfo | grep dimensions
```
---
## MCP Tools (28)
### Core workflow
| Tool | Description |
|------|-------------|
| `run_backtest` | Full pipeline: compile → clean → backtest → extract → analyze |
| `run_optimization` | Genetic optimization (background, returns immediately) |
| `get_optimization_results` | Parse optimization results after MT5 finishes |
| `analyze_report` | Read `analysis.json` from any report directory |
| `compare_baseline` | Compare report vs baseline, return winner/loser verdict |
| `compile_ea` | Compile MQL5 EA via MetaEditor |
### Monitoring
| Tool | Description |
|------|-------------|
| `verify_setup` | Check Wine/MT5 paths, Wine version, and EA/set file counts |
| `get_backtest_status` | Check live progress of a running backtest pipeline |
| `get_optimization_status` | Check live state of a background optimization job |
| `list_jobs` | All optimization jobs with compact status in one call |
### Reports & logs
| Tool | Description |
|------|-------------|
| `list_reports` | Compact table of all runs with key metrics — no full analysis needed |
| `tail_log` | Read last N lines of any log; `filter=errors` to see only failures |
| `prune_reports` | Delete old report directories, keep last N (skips `_opt` dirs) |
### History & baseline
| Tool | Description |
|------|-------------|
| `archive_report` | Convert one report dir → compact JSON entry in `backtest_history.json`, optionally delete source |
| `archive_all_reports` | Bulk-archive all report dirs then optionally delete them; keeps N newest safe |
| `get_history` | Query history with filters (EA, symbol, verdict, profit, DD) and sort options |
| `annotate_history` | Attach verdict / notes / tags to any history entry |
| `promote_to_baseline` | Write a history entry or report to `baseline.json` for compare_baseline |
### Cache management
| Tool | Description |
|------|-------------|
| `cache_status` | MT5 tester cache size breakdown by symbol — check before cleaning |
| `clean_cache` | Delete tester cache files; supports per-symbol and `dry_run` |
### .set file — read / write
| Tool | Description |
|------|-------------|
| `list_set_files` | All .set files in tester profiles dir with sweep stats and combination counts |
| `read_set_file` | Parse UTF-16LE `.set` file → structured JSON params |
| `write_set_file` | Write full params dict → UTF-16LE `.set` with `chmod 444` |
| `patch_set_file` | Update specific params in-place, return diff — replaces read→edit→write |
| `clone_set_file` | Copy `.set` to new path with optional overrides in one call |
### .set file — analysis & generation
| Tool | Description |
|------|-------------|
| `describe_sweep` | Swept params, value counts, and total optimization combinations |
| `diff_set_files` | Side-by-side diff of two `.set` files — only changed params returned |
| `set_from_optimization` | Generate a clean backtest `.set` from `get_optimization_results` params; optionally narrow sweep |
Full schema: [docs/MCP_TOOLS.md](docs/MCP_TOOLS.md)
---
## Architecture
```
AI Agent (Claude / Cursor)
│ MCP protocol (stdio)
MT5-Quant server (Python)
│ subprocess
Pipeline scripts (bash)
│ Wine/CrossOver
MetaTrader 5 (Windows/Wine)
analysis.json ← AI reads this
```
Every backtest produces `analysis.json` — a stable, AI-readable artifact.
The analysis engine is **strategy-agnostic**: a `PROFILES` system drives keyword matching, depth extraction, and cycle grouping so the same pipeline works for any EA type.
| Strategy | CLI / entry point | Depth tracking | Exit keywords | Cycle grouping |
|----------|------------------|----------------|---------------|----------------|
| `grid` (default) | `mt5-analyze-grid` | `Layer #N` → L1L8+ | locking / cutloss / zombie / timeout | magic + direction, 60 min gap |
| `scalper` | `mt5-analyze-scalper` | — | tp / sl / manual / trailing | magic, 10 min gap |
| `trend` | `mt5-analyze-trend` | — | tp / sl / trailing / breakeven / partial | magic, 4 h gap |
| `hedge` | `mt5-analyze-hedge` | — | tp / sl / net_close / partial | magic + direction, 2 h gap |
| `generic` | `mt5-analyze` | — | tp / sl (profit-sign) | magic, 60 min gap |
**`analysis.json` fields** (strategy name controls what each field contains):
| Field | All strategies | Grid only |
|-------|---------------|-----------|
| `strategy` | Active profile name | — |
| `summary` | KPIs + streaks + cycle win rate + dominant exit | — |
| `monthly_pnl` | P/L, trade count, green flag per month | — |
| `dd_events` | DD events; `cause` uses profile keywords | Cause = locking_cascade / cutloss / zombie_exit |
| `top_losses` | Worst closing deals | `grid_depth_at_close` populated |
| `loss_sequences` | Consecutive losing runs | — |
| `position_pairs` | Hold time, layer, P/L per closed position | — |
| `depth_histogram` | Profile-driven depth counts | L1L8+ (empty for other strategies) |
| `cycle_stats` | Cycle win rate; grouping + gap from profile | win_rate_by_depth populated |
| `exit_reason_breakdown` | Profile-specific exit reasons | locking / cutloss / zombie / timeout |
| `direction_bias` | Buy vs sell win rate and P/L | — |
| `streak_analysis` | Max win/loss streaks, current streak | — |
| `session_breakdown` | Asian / London / London-NY / New York P/L | — |
| `weekday_pnl` | MonSun P/L and win rate | — |
| `concurrent_peak` | Peak simultaneous open positions | — |
| `hourly_pnl` | Hour 023 (`--deep` only) | — |
| `volume_profile` | P/L by lot tier (`--deep` only) | — |
This is what makes AI reasoning over backtest results possible — across any EA type.
Full architecture: [docs/ARCHITECTURE.md](docs/ARCHITECTURE.md)
---
## Backtest History
Every experiment can be archived into a single JSON ledger at `config/backtest_history.json` — a permanent, queryable record of every run. This lets you delete raw report directories (which can be GBs of tick data) while keeping all results as compact JSON.
```
[workflow]
run_backtest → archive_report(delete_after=true) # disk reclaimed
backtest_history.json (grows forever, tiny)
get_history(min_profit=5000, max_dd_pct=15) # query past runs
promote_to_baseline # set new production reference
```
**Files** (both gitignored, live in `config/`):
| File | Purpose |
|------|---------|
| `config/backtest_history.json` | Ledger of all archived backtest runs with full metrics, analysis summary, monthly P/L, and verdict |
| `config/baseline.json` | Current production reference — used by `compare_baseline` and the Claude Code hook |
Each history entry captures: all `metrics.json` fields + `analysis.json` summary + monthly P/L array + worst DD event. The raw report directory can be safely deleted after archiving.
**Typical session:**
```
1. run_backtest(expert, from, to)
2. archive_report(delete_after=true, verdict="winner", notes="tight SL test")
3. promote_to_baseline() ← if this is the new production config
4. get_history(ea="MyEA", verdict="winner") ← survey all winners later
```
---
## .set File Workflow
```ini
; param=current||start||step||stop||Y (Y=sweep, N=fixed)
Min_Entry_Confidence=0.610||0.580||0.010||0.650||Y
TP_Pips=400||300||50||500||Y
Max_DD_Percent=15.0||N
```
MT5-Quant handles the undocumented requirements automatically: UTF-16LE encoding, `chmod 444`, OptMode reset, SpreadsheetML XML result parsing.
**Common .set patterns:**
```
# Find and inspect
list_set_files(ea="MyEA") → see all variants with combination counts
describe_sweep(path=MyEA_opt.set) → verify 240 combinations before launching
diff_set_files(path_a=v1.2.set, path_b=v1.3.set) → what changed between versions
# Edit
patch_set_file(path, patches={TP_Pips: 350}) → change one param, keep rest intact
clone_set_file(source, dest, overrides={...}) → new variant from a base in one call
# Post-optimization
get_optimization_results(job_id=X) → results[0].params = {TP:400, Conf:0.61, ...}
set_from_optimization( → write clean backtest .set from those params
path=MyEA_v1.3.set,
params=results[0].params,
template=MyEA_base.set → fill non-swept params from existing .set
)
```
---
## Remote Agents (Linux server farm)
Scale optimization throughput by connecting a Linux server as an MT5 agent farm. Linear speedup with agent count.
Setup guide: [docs/REMOTE_AGENTS.md](docs/REMOTE_AGENTS.md)
---
## Claude Code Integration
`--claude-code` generates two files that make Claude aware of your trading context:
```bash
bash scripts/setup.sh --claude-code
```
| File | Purpose |
|------|---------|
| `config/CLAUDE.template.md` | Copy to your EA project root as `CLAUDE.md`. Encodes MT5-Quant rules, baseline tracking policy, and symbol name reminders. |
| `.claude/hooks/user-prompt-submit.sh` | Runs before every Claude prompt. Reads `config/baseline.json` and injects your production metrics as context. |
**Production baseline** (`config/baseline.json`, gitignored):
```json
{
"symbol": "XAUUSD.cent",
"period": "2024-01-01/2024-12-31",
"net_profit": 1250.50,
"profit_factor": 1.43,
"max_drawdown_pct": 18.2,
"sharpe_ratio": 0.87,
"total_trades": 342,
"notes": "Best config as of 2024-12-15"
}
```
Update this file whenever a new version is promoted to production — either by running `promote_to_baseline` from Claude, or by editing it manually. Every subsequent Claude prompt will automatically include these metrics so Claude can tell you whether a new backtest is actually an improvement without you having to paste the numbers.
**Why this matters:** Without the baseline hook, you have to manually remind Claude what the production numbers are at the start of every session. With it, that context is always present.
---
## Troubleshooting
Run `verify_setup` from Claude first — it checks all paths and returns actionable hints.
### Wine not found
**macOS:** Confirm `/Applications/MetaTrader 5.app` exists and has been launched at least once. If using CrossOver, confirm the bottle is named correctly.
```bash
# Check what setup.sh found:
bash scripts/platform_detect.sh
```
**Linux:**
```bash
sudo apt install wine64 # Debian/Ubuntu
sudo dnf install wine # Fedora/RHEL
which wine64 # confirm it's on PATH
```
### terminal64.exe missing
MT5 unpacks `terminal64.exe` only after its first launch. Open MetaTrader 5.app, wait for initialization (~30 s), then quit. Re-run setup:
```bash
bash scripts/setup.sh --yes
```
### MCP server not appearing in Claude
```bash
claude mcp list # should show MT5-Quant
claude mcp remove MT5-Quant # remove stale entry if needed
claude mcp add MT5-Quant -- python3 /absolute/path/to/mt5-quant/server/main.py
```
Use an **absolute path** — relative paths break when Claude starts from a different working directory.
### Report not found after backtest
1. **Wrong symbol name** — brokers use custom names (`XAUUSDm`, `XAUUSD.cent`). Check `verify_setup``experts_dir`, or look in `<terminal_dir>/history/` for available symbols.
2. **No history data** — open MT5, open the symbol's chart, wait for history to download, then retry.
3. **EA crash at startup** — check `<terminal_dir>/MQL5/Logs/` for `OnInit` errors.
4. **Date range has no trades** — try a wider range or confirm the symbol was active during that period.
### MetaEditor compile errors
Log at `<terminal_dir>/MQL5/Logs/`. Common causes:
- Missing `#include` files — copy dependencies into `Experts/` alongside the `.mq5`
- Stale `.ex5` from a different MT5 build — delete it and recompile
### No deals in backtest report
- Use `model=0` (every tick) — models 1 and 2 skip intra-bar movement, producing zero deals for grid/martingale EAs
- Check the `.set` file has values appropriate for the symbol/broker
- Confirm `OnInit()` returns `INIT_SUCCEEDED` (MT5 Journal tab)
### Optimization never finishes / no report
```bash
# From Claude:
tail_log(job_id=X, filter=errors)
get_optimization_status(job_id=X)
```
If MT5 crashed mid-run, open `<terminal_dir>/terminal.ini` and remove the line containing `OptMode=-1`, then retry.
---
## License
MIT
---
*Built from battle-tested production infrastructure. Every edge case in the pipeline was hit in production.*
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#!/usr/bin/env python3
"""
extract.py — Single-pass MT5 report parser.
Reads MT5 backtest report (.htm or .htm.xml / SpreadsheetML) and produces:
- metrics.json (aggregate summary)
- deals.csv (all deals, 13 columns)
- deals.json (deals as JSON array)
Usage:
python3 analytics/extract.py report.htm --output-dir reports/20250101_123456/
"""
import argparse
import csv
import json
import os
import re
import sys
import xml.etree.ElementTree as ET
from pathlib import Path
from typing import Optional
# MT5 backtest report deals table columns (actual order from HTML):
# Time, Deal, Symbol, Type, Direction, Volume, Price, Order, Commission, Swap, Profit, Balance, Comment
DEAL_COLUMNS = [
"time", "deal", "symbol", "type", "entry", "volume", "price",
"order", "commission", "swap", "profit", "balance", "comment"
]
def detect_format(path: str) -> str:
"""Return 'xml' for SpreadsheetML, 'html' for legacy HTML report."""
if path.endswith('.xml') or path.endswith('.htm.xml'):
return 'xml'
# Peek at file header
with open(path, 'rb') as f:
header = f.read(512)
if b'<?xml' in header or b'Workbook' in header:
return 'xml'
return 'html'
def read_text(path: str) -> str:
"""Read file, handling UTF-16 (MT5 default) and latin-1 fallback."""
with open(path, 'rb') as f:
raw = f.read()
for encoding in ('utf-16', 'utf-8', 'latin-1'):
try:
return raw.decode(encoding)
except (UnicodeDecodeError, LookupError):
continue
return raw.decode('latin-1', errors='replace')
def strip_tags(html: str) -> str:
return re.sub(r'<[^>]+>', '', html).strip()
# ── HTML parser ───────────────────────────────────────────────────────────────
def parse_html(path: str) -> tuple[dict, list[dict]]:
text = read_text(path)
metrics = _parse_metrics_html(text)
deals = _parse_deals_html(text)
return metrics, deals
def _parse_metrics_html(text: str) -> dict:
"""Extract aggregate metrics from the summary table."""
m = {}
# MT5 report HTML format: MetricLabel:</td>\r\n<td nowrap><b>VALUE</b></td>
# Helper patterns — values always wrapped in <b>...</b>
_b = r'[^<]*</td>\s*<td[^>]*>\s*<b>([-\d\s.,]+)</b>' # plain number
_b_pct = r'[^<]*</td>\s*<td[^>]*>\s*<b>[^(]*\(([\d.,]+)%\)' # "abs (pct%)" — capture pct
patterns = {
'net_profit': r'Net\s+Profit' + _b,
'profit_factor': r'Profit\s+Factor' + _b,
'max_dd_pct': r'Equity\s+Drawdown\s+Maximal' + _b_pct,
'sharpe_ratio': r'Sharpe\s+Ratio' + _b,
'total_trades': r'Total\s+Trades' + _b,
'recovery_factor': r'Recovery\s+Factor' + _b,
'win_rate_pct': r'Profit\s+Trades\s+\(%' + _b_pct,
'gross_profit': r'Gross\s+Profit' + _b,
'gross_loss': r'Gross\s+Loss' + _b,
}
for key, pattern in patterns.items():
match = re.search(pattern, text, re.IGNORECASE | re.DOTALL)
if match:
val = match.group(1).replace(' ', '').replace(',', '').strip()
try:
m[key] = float(val)
except ValueError:
pass
# Trades needs int
if 'total_trades' in m:
m['total_trades'] = int(m['total_trades'])
return m
def _parse_deals_html(text: str) -> list[dict]:
"""Extract deal rows from the deals table."""
# Find deals section (after "Deals" header)
deals_section = re.search(
r'<tr[^>]*>.*?Deal.*?Time.*?Type.*?Direction.*?Volume.*?</tr>(.*)',
text, re.DOTALL | re.IGNORECASE
)
if not deals_section:
return []
rows = re.findall(
r'<tr[^>]*>(.*?)</tr>',
deals_section.group(1),
re.DOTALL | re.IGNORECASE
)
deals = []
for row in rows:
cells = re.findall(r'<td[^>]*>(.*?)</td>', row, re.DOTALL | re.IGNORECASE)
cells = [strip_tags(c).replace(',', '') for c in cells]
if len(cells) < 3 or not cells[0]:
continue
# Skip balance/deposit/credit rows — 'balance' appears in the Type column (index 3)
# or sometimes in index 1; check first 5 cells
if any(c.strip().lower() in ('balance', 'credit') for c in cells[:5]):
continue
deal = {}
for i, col in enumerate(DEAL_COLUMNS):
deal[col] = cells[i] if i < len(cells) else ''
deals.append(deal)
return deals
# ── XML parser (SpreadsheetML) ─────────────────────────────────────────────────
def parse_xml(path: str) -> tuple[dict, list[dict]]:
"""Parse MT5 SpreadsheetML optimization/report XML."""
tree = ET.parse(path)
root = tree.getroot()
# Namespace handling — MT5 XML uses Excel namespace
ns = {}
ns_match = re.match(r'\{([^}]+)\}', root.tag)
if ns_match:
ns['ss'] = ns_match.group(1)
def tag(name):
return f"{{{ns['ss']}}}{name}" if ns else name
metrics = {}
deals = []
in_deals_sheet = False
for sheet in root.iter(tag('Worksheet')):
sheet_name = sheet.get(f"{{{ns['ss']}}}Name" if ns else 'Name', '')
if 'result' in sheet_name.lower() or 'report' in sheet_name.lower():
metrics = _parse_metrics_xml(sheet, tag)
elif 'deal' in sheet_name.lower() or 'trade' in sheet_name.lower():
deals = _parse_deals_xml(sheet, tag)
elif sheet_name == '':
# Unnamed sheet — check if it has deal-like structure
rows = list(sheet.iter(tag('Row')))
if len(rows) > 5:
# Try to parse as deals
candidate = _parse_deals_xml(sheet, tag)
if candidate:
deals = candidate
return metrics, deals
def _cell_value(cell, tag) -> str:
data = cell.find(tag('Data'))
return data.text.strip() if data is not None and data.text else ''
def _parse_metrics_xml(sheet, tag) -> dict:
m = {}
for row in sheet.iter(tag('Row')):
cells = [_cell_value(c, tag) for c in row.iter(tag('Cell'))]
if len(cells) < 2:
continue
key = cells[0].lower()
val = cells[1].replace(',', '').strip()
try:
fval = float(val)
if 'net profit' in key or 'net_profit' in key:
m['net_profit'] = fval
elif 'profit factor' in key:
m['profit_factor'] = fval
elif 'drawdown' in key and '%' in cells[1]:
m['max_dd_pct'] = fval
elif 'sharpe' in key:
m['sharpe_ratio'] = fval
elif 'total trades' in key:
m['total_trades'] = int(fval)
except (ValueError, AttributeError):
pass
return m
def _parse_deals_xml(sheet, tag) -> list[dict]:
deals = []
header_found = False
col_map = {}
for row in sheet.iter(tag('Row')):
cells = [_cell_value(c, tag) for c in row.iter(tag('Cell'))]
if not header_found:
# Detect header row
if any(h in str(cells).lower() for h in ('time', 'type', 'volume', 'profit')):
header_found = True
for i, h in enumerate(cells):
h_lower = h.lower().strip()
for col in DEAL_COLUMNS:
if col in h_lower or h_lower in col:
col_map[i] = col
break
continue
if not cells or not cells[0]:
continue
deal = {}
for i, val in enumerate(cells):
col = col_map.get(i)
if col:
deal[col] = val.replace(',', '')
if deal:
deals.append(deal)
return deals
# ── Writer ────────────────────────────────────────────────────────────────────
def write_outputs(metrics: dict, deals: list[dict], output_dir: str) -> dict:
os.makedirs(output_dir, exist_ok=True)
metrics_path = os.path.join(output_dir, 'metrics.json')
deals_csv_path = os.path.join(output_dir, 'deals.csv')
deals_json_path = os.path.join(output_dir, 'deals.json')
with open(metrics_path, 'w') as f:
json.dump(metrics, f, indent=2)
with open(deals_json_path, 'w') as f:
json.dump(deals, f, indent=2)
if deals:
all_keys = DEAL_COLUMNS
with open(deals_csv_path, 'w', newline='') as f:
writer = csv.DictWriter(f, fieldnames=all_keys, extrasaction='ignore')
writer.writeheader()
writer.writerows(deals)
else:
# Write empty CSV with headers
with open(deals_csv_path, 'w', newline='') as f:
writer = csv.writer(f)
writer.writerow(DEAL_COLUMNS)
return {
'metrics': metrics_path,
'deals_csv': deals_csv_path,
'deals_json': deals_json_path,
}
# ── Main ──────────────────────────────────────────────────────────────────────
def main():
parser = argparse.ArgumentParser(description='Extract MT5 backtest report')
parser.add_argument('report', help='Path to report.htm or report.htm.xml')
parser.add_argument('--output-dir', default='.', help='Output directory')
parser.add_argument('--stdout', action='store_true',
help='Print metrics JSON to stdout instead of writing files')
args = parser.parse_args()
fmt = detect_format(args.report)
if fmt == 'xml':
metrics, deals = parse_xml(args.report)
else:
metrics, deals = parse_html(args.report)
if not metrics:
print(f"WARNING: No aggregate metrics found in report", file=sys.stderr)
if not deals:
print(f"WARNING: No deals found in report (check date range and symbol)", file=sys.stderr)
if args.stdout:
json.dump({'metrics': metrics, 'deals_count': len(deals)}, sys.stdout, indent=2)
print()
return
paths = write_outputs(metrics, deals, args.output_dir)
print(f"Extracted: {len(deals)} deals, {len(metrics)} metrics")
for name, path in paths.items():
print(f" {name}: {path}")
if __name__ == '__main__':
main()
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#!/usr/bin/env python3
"""
optimize_parser.py — Parse MT5 genetic optimization results.
Handles both HTML (.htm) and SpreadsheetML XML (.htm.xml) formats.
Usage:
python3 analytics/optimize_parser.py --job opt_20250619_143022
python3 analytics/optimize_parser.py --file reports/opt_dir/optimization.htm
python3 analytics/optimize_parser.py --file report.htm.xml --top 30 --sort profit
"""
import argparse
import json
import os
import re
import sys
import xml.etree.ElementTree as ET
from pathlib import Path
ROOT_DIR = Path(__file__).parent.parent
def find_report(job_id: str) -> str:
"""Locate optimization report from job metadata."""
jobs_dir = ROOT_DIR / '.mt5mcp_jobs'
meta_path = jobs_dir / f'{job_id}.json'
if not meta_path.exists():
raise FileNotFoundError(f"Job not found: {job_id}. Check .mt5mcp_jobs/")
with open(meta_path) as f:
meta = json.load(f)
wine_prefix = meta.get('wine_prefix', '')
base = os.path.join(wine_prefix, 'drive_c', 'mt5mcp_opt_report')
for ext in ('.htm', '.htm.xml', '.html'):
candidate = base + ext
if os.path.exists(candidate):
return candidate
raise FileNotFoundError(
f"Optimization report not found. Expected: {base}.htm or {base}.htm.xml\n"
f"Is MT5 optimization still running? Check log: {meta.get('log_file', '')}"
)
def detect_format(path: str) -> str:
if path.endswith('.xml') or path.endswith('.htm.xml'):
return 'xml'
with open(path, 'rb') as f:
header = f.read(512)
if b'<?xml' in header or b'Workbook' in header:
return 'xml'
return 'html'
def read_text(path: str) -> str:
with open(path, 'rb') as f:
raw = f.read()
for enc in ('utf-16', 'utf-8', 'latin-1'):
try:
return raw.decode(enc)
except (UnicodeDecodeError, LookupError):
continue
return raw.decode('latin-1', errors='replace')
# ── HTML parser ───────────────────────────────────────────────────────────────
def parse_html(path: str) -> list[dict]:
text = read_text(path)
rows = re.findall(r'<tr[^>]*>(.*?)</tr>', text, re.DOTALL | re.IGNORECASE)
results = []
headers = []
for row in rows:
cells = re.findall(r'<t[dh][^>]*>(.*?)</t[dh]>', row, re.DOTALL | re.IGNORECASE)
cells = [re.sub(r'<[^>]+>', '', c).strip().replace(',', '') for c in cells]
if not cells:
continue
# Header row detection
if not headers and cells[0].lower() in ('pass', '#', 'result', 'run'):
headers = cells
continue
# Data row: first cell is pass number (digit)
if headers and cells[0].isdigit():
row_data = dict(zip(headers, cells))
results.append(row_data)
elif not headers and cells[0].isdigit() and len(cells) > 5:
# No header — use positional mapping (common MT5 layout)
results.append(_positional_row(cells))
return results
def _positional_row(cells: list[str]) -> dict:
"""Map cells by position for headerless optimization tables."""
# MT5 optimization table columns (typical order):
# Pass | Profit | Expected Payoff | Profit Factor | Recovery Factor | Sharpe | Custom | DD% | Trades | ...params
pos_names = ['pass', 'profit', 'expected_payoff', 'profit_factor',
'recovery_factor', 'sharpe_ratio', 'custom', 'max_dd_pct', 'total_trades']
row = {}
for i, name in enumerate(pos_names):
if i < len(cells):
row[name] = cells[i]
# Remaining are parameters
row['_params_raw'] = cells[len(pos_names):]
return row
# ── XML parser ────────────────────────────────────────────────────────────────
def parse_xml(path: str) -> list[dict]:
tree = ET.parse(path)
root = tree.getroot()
ns = {}
ns_match = re.match(r'\{([^}]+)\}', root.tag)
if ns_match:
ns['ss'] = ns_match.group(1)
def tag(name):
return f"{{{ns['ss']}}}{name}" if ns else name
def cell_val(cell):
data = cell.find(tag('Data'))
return data.text.strip() if data is not None and data.text else ''
results = []
headers = []
for sheet in root.iter(tag('Worksheet')):
for row in sheet.iter(tag('Row')):
cells = [cell_val(c) for c in row.iter(tag('Cell'))]
cells = [c.replace(',', '').strip() for c in cells]
if not cells:
continue
if not headers:
if any(h.lower() in ('pass', 'result', 'profit') for h in cells):
headers = cells
continue
if cells[0].isdigit():
if headers:
row_data = {}
for i, h in enumerate(headers):
row_data[h.lower().replace(' ', '_')] = cells[i] if i < len(cells) else ''
results.append(row_data)
else:
results.append(_positional_row(cells))
return results
# ── Normalizer ────────────────────────────────────────────────────────────────
def normalize(raw_results: list[dict]) -> list[dict]:
"""Convert raw parsed rows to typed dicts with consistent keys."""
normalized = []
for r in raw_results:
def fget(keys, default=0.0):
for k in keys:
for rk, rv in r.items():
if k in rk.lower().replace(' ', '_'):
try:
return float(rv)
except (ValueError, TypeError):
pass
return default
def iget(keys, default=0):
v = fget(keys, default)
return int(v)
# Extract known fields
entry = {
'pass': iget(['pass', '#']),
'net_profit': fget(['profit', 'net_profit']),
'profit_factor': fget(['profit_factor']),
'max_dd_pct': fget(['dd', 'drawdown']),
'total_trades': iget(['trades']),
'sharpe_ratio': fget(['sharpe']),
'recovery_factor': fget(['recovery']),
}
# Remaining keys are parameters
known_keys = {'pass', 'profit', 'net_profit', 'profit_factor', 'expected_payoff',
'dd', 'drawdown', 'max_dd_pct', 'trades', 'total_trades',
'sharpe', 'sharpe_ratio', 'recovery', 'recovery_factor',
'custom', '#', '_params_raw'}
params = {}
for k, v in r.items():
if not any(kw in k.lower() for kw in known_keys):
try:
params[k] = float(v)
except (ValueError, TypeError):
params[k] = v
entry['params'] = params
normalized.append(entry)
return normalized
# ── Convergence analysis ──────────────────────────────────────────────────────
def convergence_analysis(results: list[dict], top_n: int = 10) -> dict:
top = results[:top_n]
if not top:
return {}
all_param_keys = set()
for r in top:
all_param_keys.update(r.get('params', {}).keys())
strong = {} # Same value across all top-N
uncertain = [] # Varies
for key in all_param_keys:
values = set()
for r in top:
v = r.get('params', {}).get(key)
if v is not None:
values.add(v)
if len(values) == 1:
strong[key] = list(values)[0]
else:
uncertain.append(key)
return {
'top_n_agreement': strong,
'high_variance_params': uncertain,
}
# ── Display ───────────────────────────────────────────────────────────────────
def display_results(results: list[dict], top_n: int, dd_threshold: float, conv: dict):
print(f"\nTotal passes: {len(results)}")
print(f"Showing top {min(top_n, len(results))} by profit:\n")
print(f"{'Rank':<5} {'Profit':>10} {'PF':>6} {'DD%':>6} {'Sharpe':>7} {'Trades':>7} Params")
print("" * 80)
for i, r in enumerate(results[:top_n], 1):
dd = r['max_dd_pct']
risk_flag = '' if dd > dd_threshold else ''
params_str = ' '.join(f"{k}={v}" for k, v in list(r.get('params', {}).items())[:4])
print(
f"#{i:<4} ${r['net_profit']:>9,.2f} "
f"{r['profit_factor']:>5.2f} "
f"{dd:>5.2f}%"
f"{risk_flag} "
f"{r['sharpe_ratio']:>6.2f} "
f"{r['total_trades']:>7} "
f"{params_str}"
)
if conv:
print(f"\nConvergence (top-{min(top_n, len(results))} agreement):")
if conv.get('top_n_agreement'):
print(" Stable params:", ', '.join(f"{k}={v}" for k, v in conv['top_n_agreement'].items()))
if conv.get('high_variance_params'):
print(" Uncertain params:", ', '.join(conv['high_variance_params']))
# ── Main ──────────────────────────────────────────────────────────────────────
def main():
parser = argparse.ArgumentParser(description='Parse MT5 optimization results')
parser.add_argument('--job', help='Job ID from optimize.sh output')
parser.add_argument('--file', help='Direct path to optimization.htm or .htm.xml')
parser.add_argument('--top', type=int, default=20, help='Show top N results')
parser.add_argument('--sort', choices=['profit', 'profit_factor', 'sharpe'],
default='profit', help='Sort metric')
parser.add_argument('--dd-threshold', type=float, default=20.0,
help='Flag DD above this % as high-risk')
parser.add_argument('--output', help='Save results as JSON')
args = parser.parse_args()
# Locate report
if args.file:
report_path = args.file
elif args.job:
try:
report_path = find_report(args.job)
except FileNotFoundError as e:
print(f"ERROR: {e}", file=sys.stderr)
sys.exit(1)
else:
print("ERROR: Provide --job or --file", file=sys.stderr)
sys.exit(1)
if not os.path.exists(report_path):
print(f"ERROR: Report not found: {report_path}", file=sys.stderr)
sys.exit(1)
# Parse
fmt = detect_format(report_path)
if fmt == 'xml':
raw = parse_xml(report_path)
else:
raw = parse_html(report_path)
results = normalize(raw)
if not results:
print("ERROR: No optimization passes found in report.", file=sys.stderr)
sys.exit(1)
# Sort
sort_key = {
'profit': 'net_profit',
'profit_factor': 'profit_factor',
'sharpe': 'sharpe_ratio',
}[args.sort]
results.sort(key=lambda r: r.get(sort_key, 0), reverse=True)
# Convergence analysis
conv = convergence_analysis(results, top_n=10)
# Display
display_results(results, args.top, args.dd_threshold, conv)
# Optional JSON output
if args.output:
output = {
'total_passes': len(results),
'results': results[:args.top],
'convergence': conv,
}
with open(args.output, 'w') as f:
json.dump(output, f, indent=2)
print(f"\nSaved: {args.output}")
if __name__ == '__main__':
main()
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; MT5 optimization .set file — example
; Format: param=current_value||start||step||stop||Y (Y=sweep this param)
; param=current_value||N (N=fixed, no sweep)
;
; MT5-Quant handles encoding automatically:
; - Converts to UTF-16LE (MT5 strips ||Y flags from UTF-8 files)
; - Sets read-only flag after writing
; - Resets OptMode in terminal.ini before launch
;
; Copy to your project dir and point --set to it.
; ── Entry parameters (sweep) ─────────────────────────────────────────────────
Min_Entry_Confidence=0.610||0.580||0.010||0.650||Y
Max_Entry_Spread=30||10||5||50||Y
; ── Take-profit and stop-loss (sweep) ────────────────────────────────────────
TP_Pips=400||300||50||600||Y
SL_Pips=800||600||100||1200||Y
; ── Grid / martingale settings (fixed) ───────────────────────────────────────
MaxLayers=6||N
LotMultiplier=1.5||N
GridStep_Pips=150||N
; ── Risk management (fixed) ──────────────────────────────────────────────────
Max_DD_Percent=15.0||N
CutLoss_Percent=25.0||N
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# mt5-quant configuration (flat key format — no YAML nesting)
# Copy this file to config/mt5-quant.yaml and fill in your paths.
# ── MT5 / Wine paths ──────────────────────────────────────────────────────────
# macOS (CrossOver / MetaTrader 5.app)
wine_executable: "/Applications/MetaTrader 5.app/Contents/SharedSupport/wine/bin/wine64"
terminal_dir: "$HOME/Library/Application Support/net.metaquotes.wine.metatrader5/drive_c/Program Files/MetaTrader 5"
experts_dir: "$HOME/Library/Application Support/net.metaquotes.wine.metatrader5/drive_c/Program Files/MetaTrader 5/MQL5/Experts"
tester_profiles_dir: "$HOME/Library/Application Support/net.metaquotes.wine.metatrader5/drive_c/Program Files/MetaTrader 5/MQL5/Profiles/Tester"
tester_cache_dir: "$HOME/Library/Application Support/net.metaquotes.wine.metatrader5/drive_c/Program Files/MetaTrader 5/Tester"
# Linux (Wine)
# wine_executable: "/usr/bin/wine64"
# terminal_dir: "$HOME/.wine/drive_c/Program Files/MetaTrader 5"
# experts_dir: "$HOME/.wine/drive_c/Program Files/MetaTrader 5/MQL5/Experts"
# tester_profiles_dir: "$HOME/.wine/drive_c/Program Files/MetaTrader 5/MQL5/Profiles/Tester"
# tester_cache_dir: "$HOME/.wine/drive_c/Program Files/MetaTrader 5/Tester"
# ── Display ───────────────────────────────────────────────────────────────────
# auto: GUI on macOS CrossOver, Xvfb on Linux without $DISPLAY
# gui: always use display (requires active session)
# headless: always use Xvfb (requires xvfb-run)
display_mode: auto
# ── Project ───────────────────────────────────────────────────────────────────
# Root directory of your EA project (where .mq5 and .set files live)
project_dir: "/path/to/your/ea/project"
# ── Backtest defaults ─────────────────────────────────────────────────────────
# These are fallbacks when not passed as MCP tool arguments
backtest_symbol: "EURUSD"
backtest_deposit: 10000
backtest_currency: USD
backtest_leverage: 100
backtest_model: 0
backtest_timeframe: H1
backtest_timeout: 900
# ── Optimization ──────────────────────────────────────────────────────────────
opt_log_dir: /tmp
opt_min_agents: 1
# ── Reports output ────────────────────────────────────────────────────────────
reports_dir: "/path/to/your/ea/project/reports"
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# Architecture Deep Dive
## Design Philosophy
**Deal-level over aggregate.** MT5's built-in HTML report gives you: profit, profit factor, max DD%, trade count. That's it. You cannot tell from those numbers whether a drawdown was caused by overleveraged locking, a bad entry during a news spike, or a grid that reached L8 in a trending market.
MT5-Quant extracts every individual deal — entry price, exit price, P/L, comment string — and reconstructs what was happening when each loss event occurred. The `analysis.json` artifact is the result: AI-readable, stable schema, diffable between runs.
**Pipeline idempotency.** MT5 caches aggressively. Cached `.ex5` binaries, cached `.set` files, stale `terminal.ini` flags. The pipeline exists specifically to invalidate all of these before every run. A backtest result that came from a cached EA binary is wrong in a way that's impossible to detect without the cache clear step.
**Background isolation for optimization.** Genetic optimizations run 2-6 hours. Running them inside a parent process that can be killed (Claude task runner, SSH session, terminal) corrupts the MT5 optimization state. The only correct pattern is `nohup + disown` — fully detached from all parent process trees.
---
## Component Map
```
MT5-Quant/
├── server/
│ └── main.py # MCP server (stdio transport) — 10 tool handlers
├── scripts/
│ ├── setup.sh # Auto-detect Wine/MT5, write config, register MCP
│ ├── platform_detect.sh # Sourced by all scripts — Wine path + headless detection
│ ├── backtest_pipeline.sh # 5-stage pipeline orchestrator
│ ├── optimize.sh # Genetic optimization launcher (nohup + disown)
│ └── mqlcompile.sh # MetaEditor wrapper (Wine/CrossOver)
├── analytics/
│ ├── extract.py # HTML/XML report parser → metrics.json + deals.csv
│ ├── analyze.py # Deal-level analysis engine → analysis.json
│ └── optimize_parser.py # Optimization result parser
├── config/
│ ├── MT5-Quant.example.yaml # Template config (copy to MT5-Quant.yaml)
│ ├── MT5-Quant.yaml # Live config (gitignored)
│ ├── baseline.json # Production baseline metrics (gitignored, user-maintained)
│ ├── CLAUDE.template.md # CLAUDE.md template (generated by --claude-code)
│ └── example.set # Example optimization .set file
├── .claude/
│ └── hooks/
│ └── user-prompt-submit.sh # Injects baseline.json into every Claude prompt
└── docs/
├── ARCHITECTURE.md # This file
├── MCP_TOOLS.md # Full tool spec
└── REMOTE_AGENTS.md # Linux agent farm setup
```
---
## Pipeline Stages
### Stage 1: COMPILE
```bash
./scripts/mqlcompile.sh src/experts/MyEA.mq5
```
Invokes MetaEditor via Wine with the MQL5 source file. Copies resulting `.ex5` to the MT5 Experts directory. Fails the pipeline on compile errors (stderr contains error count).
**Why not skip this?** MT5 caches the `.ex5` binary by filename. If you edit your EA and re-run without recompiling, MT5 runs the old binary silently. Always compile.
---
### Stage 2: CLEAN
```bash
rm -f "${MT5_TESTER_DIR}/cache/*.tst"
rm -f "${MT5_PROFILES_DIR}/Tester/${EXPERT}.set"
```
Clears:
- Tester cache (`.tst` files): compiled test results MT5 reuses to skip re-running ticks
- Cached `.set` file: MT5 writes the current parameter values here after each run; if stale, next run picks up wrong params
**The `.set` encoding trap:** MT5 reads parameter files as UTF-16LE with BOM. It writes them back as UTF-16LE. If you provide a UTF-8 `.set` file for optimization, MT5 reads the parameters correctly (it tries multiple encodings) but when it writes the optimization variants, it uses UTF-16LE and **strips the `||Y` optimization flags**. Every subsequent pass uses the base value. Your 500-combination optimization runs 500 identical backtests.
Solution: always write `.set` files as UTF-16LE with BOM, mark them read-only before MT5 starts.
```python
# Python: write UTF-16LE with BOM
content = "\n".join(lines)
with open(set_path, 'w', encoding='utf-16-le') as f:
f.write('\ufeff') # BOM
f.write(content)
os.chmod(set_path, 0o444) # read-only
```
---
### Stage 3: BACKTEST
```bash
arch -x86_64 "${WINE}" cmd.exe /c 'C:\_backtest.bat'
```
The batch file sets MT5 CLI flags and launches `terminal64.exe`:
```bat
"C:\Program Files\MetaTrader 5\terminal64.exe" /config:C:\backtest.ini
```
`backtest.ini` contains:
```ini
[Tester]
Expert=MyEA
Symbol=XAUUSD
Period=M5
Deposit=10000
Currency=USD
Leverage=500
Model=0
FromDate=2025.01.01
ToDate=2025.06.30
Report=C:\report
Optimization=0
```
MT5 runs in headless mode, writes the report, and exits.
**Process isolation note:** On macOS with CrossOver, `arch -x86_64` is required — CrossOver ships arm64 Wine wrappers that don't support the x86_64 MT5 binary correctly. Without it, MT5 appears to start but produces no output.
---
### Stage 4: EXTRACT
Single HTML/XML parse pass that produces three artifacts:
```bash
python3 analytics/extract.py report.htm
# → metrics.json (aggregate summary)
# → deals.csv (all deals, 13 columns)
# → deals.json (same data, JSON)
```
**Why single-pass?** MT5 HTML reports are large (1-5MB for 14-month tests). Each regex pass over the file takes ~200ms. The old pipeline ran 5 separate grep/regex passes, one per artifact. Collapsed to one Python pass: 5× faster and no partial-read inconsistencies.
**Format detection:**
```python
# MT5 Build 48+ saves SpreadsheetML XML, not HTML
if report_path.endswith('.xml') or report_path.endswith('.htm.xml'):
tree = ET.parse(report_path)
# parse via ElementTree
else:
with open(report_path, 'rb') as f:
raw = f.read()
try:
text = raw.decode('utf-16')
except:
text = raw.decode('latin-1', errors='replace')
# parse via regex
```
**Deal columns (13):**
```
Time | Type | Direction | Volume | Price | S/L | T/P | Profit | Balance | Comment | Order | Magic | Entry
```
The `Comment` column is the key to grid analytics. The EA writes `"Layer #3"`, `"Locking Total"`, `"Zombie Exit"` etc. Pattern matching on comments reconstructs which position was at which layer.
---
### Stage 5: ANALYZE
```bash
# Strategy subcommand (recommended)
python3 analytics/analyze.py grid deals.csv --output-dir reports/20250101/
python3 analytics/analyze.py scalper deals.csv --output-dir reports/20250101/
python3 analytics/analyze.py trend deals.csv --output-dir reports/20250101/
python3 analytics/analyze.py hedge deals.csv --output-dir reports/20250101/
python3 analytics/analyze.py generic deals.csv --output-dir reports/20250101/
# Legacy positional (no subcommand) — defaults to 'grid', backward compatible
python3 analytics/analyze.py deals.csv --output-dir reports/20250101/
# Flags available with any strategy
python3 analytics/analyze.py grid deals.csv --output-dir DIR --deep --stdout
# → analysis.json
```
All functions operate on the 13-column `deals.csv` — no MT5 or Wine required.
#### Strategy profiles
The analysis engine is driven by a `PROFILES` dict. Each profile controls:
| Field | Type | Controls |
|-------|------|----------|
| `depth_re` | regex or `None` | Whether/how to extract depth from comments |
| `exit_keywords` | `{reason: [kw]}` | Comment patterns for exit classification |
| `dd_cause_keywords` | `{cause: [kw]}` | Comment patterns for DD cause classification |
| `cycle_group_by` | `'magic'` or `'magic+direction'` | How deals are grouped into cycles |
| `cycle_gap_min` | int | Minutes between opens that mark a new cycle |
Built-in profiles:
| Profile | `depth_re` | `cycle_group_by` | `cycle_gap_min` | Exit keywords |
|---------|-----------|-----------------|----------------|---------------|
| `generic` | — | `magic` | 60 | profit-sign only (tp/sl) |
| `grid` | `Layer #N` | `magic+direction` | 60 | locking, cutloss, zombie, timeout |
| `scalper` | — | `magic` | 10 | tp, sl, manual, trailing |
| `trend` | — | `magic` | 240 | breakeven, trailing, partial, tp, sl |
| `hedge` | — | `magic+direction` | 120 | tp, sl, net_close, partial |
#### Entry points (after `pip install -e .`)
```bash
mt5-analyze deals.csv # generic
mt5-analyze-grid deals.csv # grid / martingale (default in pipeline)
mt5-analyze-scalper deals.csv # scalper
mt5-analyze-trend deals.csv # trend following
mt5-analyze-hedge deals.csv # hedging
```
#### Analytics functions
**Core (always run, strategy-agnostic):**
| Function | What it computes |
|----------|-----------------|
| `monthly_pnl` | P/L, trade count, green flag per calendar month |
| `reconstruct_dd_events` | Balance curve → local minima; cause from profile keywords |
| `top_losses` | Worst individual closing deals by P/L |
| `loss_sequences` | Consecutive losing closed deals (runs of length ≥ 2) |
| `position_pairs` | Match in/out by order ticket → hold time, depth at close |
| `direction_bias` | Buy vs sell win rate, total P/L, average trade |
| `streak_analysis` | Max consecutive win/loss streaks; current streak |
| `session_breakdown` | Asian (0008h) / London (0813h) / London-NY (1317h) / New York (1722h) |
| `weekday_pnl` | MonSun P/L and win rate |
| `concurrent_peak` | Peak simultaneous open positions |
**Strategy-driven (output varies by profile):**
| Function | Generic | Grid | Scalper/Trend/Hedge |
|----------|---------|------|---------------------|
| `depth_histogram` | `{}` (empty) | L1L8+ counts | `{}` (no `depth_re`) |
| `cycle_stats` | magic, 60-min gap | magic+direction, 60-min gap | per-profile config |
| `exit_reason_breakdown` | tp / sl | locking / cutloss / zombie / timeout | profile-specific |
**Deep analytics (`--deep` flag):**
| Function | What it computes |
|----------|-----------------|
| `hourly_pnl` | Hour-by-hour (023) P/L and win rate |
| `volume_profile` | P/L breakdown by lot size tier |
**DD event reconstruction:**
1. Walk deals chronologically, track running balance
2. At each local minimum (DD > 1%), record timestamp, depth (%), recovery date
3. Classify `cause` using `profile['dd_cause_keywords']`; returns `"unknown"` for generic/unmatched
**Cycle statistics:**
Deals are grouped by `cycle_group_by` key. A gap greater than `cycle_gap_min` between consecutive opens marks a new cycle boundary. Win rate is computed per cycle (not per deal), then broken down by max depth reached.
**Exit reason classification:**
Iterates `exit_keywords` in definition order — more specific patterns must appear before general ones to avoid substring false-positives (e.g. `"stop"` inside `"breakeven stop"`). Falls back to profit-sign if no keyword matches.
**Loss sequence detection:**
Consecutive closed deals where P/L < 0 (minimum length 2). Captures clusters of losses better than any single worst-trade metric.
---
## Optimization Pipeline
### Why `nohup + disown` is mandatory
```bash
nohup ./scripts/optimize.sh ... > /tmp/opt.log 2>&1 & disown
```
MT5 optimization uses Unix signals to coordinate between `terminal64.exe` (master) and `metatester64.exe` instances (workers). When the parent process tree is killed:
1. `SIGHUP` propagates to child processes
2. `metatester64.exe` workers receive the signal and terminate
3. The master `terminal64.exe` detects worker failure and aborts the optimization
4. `terminal.ini` is left with `OptMode=-1`, requiring manual reset before next run
`nohup` prevents `SIGHUP` propagation. `disown` removes the process from the shell's job table so it's not killed when the shell exits. Both are required.
---
### `OptMode` state machine
`terminal.ini` contains an `OptMode` key that MT5 uses to track optimization state:
| `OptMode` value | Meaning |
|----------------|---------|
| `0` | Normal backtest mode (ready) |
| `1` | Optimization in progress |
| `2` | Optimization complete — show results |
| `-1` | Optimization aborted / crashed |
After any optimization run (complete or aborted), MT5 writes `-1` or `2`. On next launch with `Optimization=2` in `backtest.ini`, MT5 reads `OptMode=-1` and exits immediately without running.
**Fix:** Before every optimization launch, force `OptMode=0` in `terminal.ini`:
```bash
sed -i 's/OptMode=.*/OptMode=0/' "${MT5_DIR}/terminal.ini"
# Also remove LastOptimization line if present
sed -i '/LastOptimization=/d' "${MT5_DIR}/terminal.ini"
```
---
## Remote Agent Architecture
MT5's distributed testing works via a custom TCP protocol. The master `terminal64.exe` listens on a port. Remote agents (`metatester64.exe`) connect and receive test configurations.
```
Mac (master) Linux server (agents)
terminal64.exe metatester64.exe × N
│ │
└──── TCP:3000 ─────────────────────┘
```
**Linux setup:**
```bash
# On Linux server (Wine required)
wine metatester64.exe /server:MAC_IP:3000 /agents:8
```
MT5 shows remote agents in the agent manager as `Agent-0.0.0.0-PORT` entries when listening, and activates them when the remote `metatester64.exe` connects.
**Throughput:** Linear scaling with agent count. 10 local + 16 remote = 26 agents. A 17,000-combination optimization that takes 3 hours locally completes in ~70 minutes.
---
## Headless Operation
MT5-Quant uses MT5's CLI mode (`terminal64.exe /config:backtest.ini`) — no user interaction, no clicking in the Strategy Tester GUI. Whether this is truly "headless" depends on platform:
| Platform | Status | Notes |
|----------|--------|-------|
| macOS + CrossOver | Near-headless | CrossOver manages the display internally. MT5 window may flash briefly or be suppressed entirely depending on bottle settings. No monitor required in practice. |
| Linux + Wine | Requires Xvfb | Wine needs an X11 display connection. Without one, `wine64 terminal64.exe` fails with `cannot open display`. |
| Linux + Wine + Xvfb | Full headless | Virtual framebuffer satisfies Wine's X11 requirement. Use on servers with no monitor. |
**Linux headless setup (Xvfb):**
```bash
# Install Xvfb
sudo apt install xvfb
# Start virtual display on :99
Xvfb :99 -screen 0 1024x768x16 &
export DISPLAY=:99
# Now Wine can launch MT5 without a physical display
wine64 terminal64.exe /config:backtest.ini
```
**Persistent virtual display (systemd):**
```ini
# /etc/systemd/system/xvfb.service
[Unit]
Description=Virtual Display for MT5
[Service]
ExecStart=/usr/bin/Xvfb :99 -screen 0 1024x768x16
Restart=always
[Install]
WantedBy=multi-user.target
```
```bash
sudo systemctl enable xvfb
sudo systemctl start xvfb
```
Then set `DISPLAY=:99` in MT5-Quant's environment config.
**Note:** `metatester64.exe` (the agent worker process) is fully headless — it runs tick simulation with no display requirement. Only the master `terminal64.exe` needs a display to orchestrate the session. On Mac with CrossOver this is handled transparently.
---
## Known Limitations
**macOS-specific:**
- Requires Wine. The native MT5.app from the Mac App Store (or MetaQuotes CDN) ships bundled Wine at `MetaTrader 5.app/Contents/SharedSupport/wine/`. CrossOver is an alternative.
- `arch -x86_64` required on Apple Silicon.
- File paths must go through Wine's virtual filesystem (`C:\` = inside the Wine prefix `drive_c/`).
**Report format dependency:**
- SpreadsheetML XML format (`.htm.xml`) has no documented schema from MetaQuotes. The parser is reverse-engineered from observed output. May break on future MT5 builds.
**Comment-based analytics:**
- Strategy-specific analytics (depth histogram, exit reason, DD cause) depend on EA comment strings. EAs that don't write structured comments will get `generic` profile results — summary metrics, session breakdown, streaks, and direction bias all still work; only keyword-classified fields fall back to `"unknown"` or profit-sign.
- Custom comment patterns can be supported by adding a new entry to `PROFILES` in `analytics/analyze.py` — no other code changes needed.
**Single MT5 instance:**
- MT5 is single-instance per Windows drive. Two backtests cannot run simultaneously on the same Wine prefix. Parallelism requires multiple Wine prefixes (separate installations).
---
## Claude Code Integration
`setup.sh --claude-code` generates two files that give Claude persistent context about the user's trading setup:
### `config/CLAUDE.template.md`
A project-level CLAUDE.md template the user copies to their EA project root. Encodes:
- MT5-Quant tool names and when to use them
- Baseline tracking policy (never call something an improvement without comparing to `baseline.json`)
- Symbol name reminder (broker-specific suffix matters — `XAUUSD.cent``XAUUSD`)
- Backtest and optimization constraints (model 0, single instance, UTF-16LE .set files)
### `.claude/hooks/user-prompt-submit.sh`
A Claude Code hook that runs before every prompt submission. Reads `config/baseline.json` and outputs a JSON context block:
```json
{"context": "## Production Baseline (config/baseline.json)\n..."}
```
Claude Code injects this into the system context for every conversation turn. The result: Claude always knows the current production metrics without the user having to paste them.
**Hook execution path:**
```
User types prompt
→ user-prompt-submit.sh executes
→ reads config/baseline.json
→ outputs {"context": "..."} to stdout
→ Claude Code prepends to system context
→ Claude sees baseline in every prompt
```
**Graceful degradation:** If `baseline.json` doesn't exist or is malformed, the hook exits 0 silently — no prompt is blocked. The baseline section simply doesn't appear until the user creates the file.
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# Remote Agent Setup (Linux Server)
MT5's distributed testing lets you farm optimization work across multiple machines. A Linux server running `metatester64.exe` via Wine connects to a Mac master over a local network.
**Throughput:** Each agent handles one pass at a time. 10 local + 16 remote = 26 agents. A 17,000-combination genetic optimization that takes 3 hours locally finishes in ~70 minutes.
---
## Requirements
**Mac (master)**
- MetaTrader 5 installed via CrossOver or Wine
- MT5-Quant configured and working for local backtests
- Port 3000 open in macOS firewall (or whichever port MT5 uses — check below)
**Linux server (agents)**
- Wine 7.0+ (or Wine Staging for better compatibility)
- `metatester64.exe` from an MT5 installation
- Access to the same MT5 data files (tick history) as the master — or let agents download on first run
---
## Step 1: Find the MT5 agent port on Mac
After running a local optimization, check the MT5 agent directories:
```bash
ls ~/Library/Application\ Support/MetaQuotes/*/drive_c/Program\ Files/MetaTrader\ 5/
```
You'll see directories like:
```
Agent-127.0.0.1-3000/ ← local agents (loopback)
Agent-127.0.0.1-3001/
Agent-0.0.0.0-3000/ ← remote listener (if enabled)
```
If you don't see `Agent-0.0.0.0-*` directories, enable remote agents in MT5:
**Tools → Options → Expert Advisors → Allow remote agents**
Note the port number (default: 3000).
---
## Step 2: Open firewall on Mac
```bash
# Check current firewall rules
sudo pfctl -s rules
# Allow incoming on agent port (example: 3000)
# Add to /etc/pf.conf or use macOS Firewall in System Settings
```
Or use macOS System Settings → Privacy & Security → Firewall → Firewall Options → Add MetaTrader 5.
---
## Step 3: Install Wine on Linux server
```bash
# Ubuntu/Debian
sudo dpkg --add-architecture i386
sudo apt update
sudo apt install wine64 wine32
# Verify
wine64 --version
```
---
## Step 4: Copy `metatester64.exe` to Linux
From your Mac MT5 installation:
```bash
MAC_MT5="$HOME/Library/Application Support/MetaQuotes/Terminal/XXXXX/drive_c/Program Files/MetaTrader 5"
scp "${MAC_MT5}/metatester64.exe" user@linux-server:~/mt5agents/
scp "${MAC_MT5}/metaeditor64.exe" user@linux-server:~/mt5agents/ # not required for agents
```
Also copy the required DLLs (they're in the same directory):
```bash
scp "${MAC_MT5}"/*.dll user@linux-server:~/mt5agents/
```
---
## Step 5: Launch agents on Linux
```bash
# On the Linux server
cd ~/mt5agents/
# Replace MAC_IP with your Mac's local IP address
# Replace 8 with number of CPU cores - 1
wine64 metatester64.exe /server:192.168.1.100:3000 /agents:8
```
**What this does:**
- Connects to your Mac's MT5 master at `192.168.1.100:3000`
- Registers 8 worker agents
- MT5 on Mac will show 8 new agents in the agent manager
**To run as a background service:**
```bash
nohup wine64 metatester64.exe /server:192.168.1.100:3000 /agents:8 \
> ~/mt5agents/agents.log 2>&1 &
disown
```
---
## Step 6: Verify agents appear in MT5
On your Mac, open MT5:
**View → Strategy Tester → Agents tab**
You should see entries like:
```
Agent-192.168.1.200-3000 [Active]
Agent-192.168.1.200-3001 [Active]
...
```
If agents appear as `[Inactive]`, check:
1. Mac firewall is allowing incoming connections on the agent port
2. Linux server can reach Mac IP: `ping 192.168.1.100`
3. Port is open: `nc -zv 192.168.1.100 3000`
---
## Step 7: Configure MT5-Quant for remote agents
In `config/MT5-Quant.yaml`:
```yaml
optimization:
remote_agents:
enabled: true
check_agent_count: true # Verify remote agents are connected before launching
min_agents: 4 # Require at least N agents before optimizing
```
MT5-Quant will log the agent count before launching optimization:
```
[optimize] Local agents: 9, Remote agents: 8, Total: 17
[optimize] Estimated completion: ~105 minutes (17,640 passes at 17 agents)
```
---
## Tick Data Sync
Remote agents need tick history to replay trades. On first run, MT5 automatically downloads ticks from the broker for each symbol+period combination tested. This can take 10-30 minutes per symbol.
**Speed up first run:** Pre-populate the tick cache on the Linux server by copying from Mac:
```bash
# On Mac — find tick data location
find ~/Library/Application\ Support/MetaQuotes -name "*.bin" | grep "XAUUSD"
# Typical path:
# Terminal/XXXXX/drive_c/users/user/AppData/Roaming/MetaQuotes/Terminal/Common/Files/
scp -r "${TICK_DIR}" user@linux-server:~/mt5agents/ticks/
```
---
## Troubleshooting
**Agents connect then immediately disconnect**
- MT5 version mismatch between `metatester64.exe` (from Mac) and the master. Use the exact same build number.
- Check `~/mt5agents/agents.log` for Wine errors.
**Agents show as connected but don't receive work**
- MT5 sometimes requires optimization to be started before assigning work to new agents.
- Start an optimization from the MT5 GUI first to "activate" remote agents, then cancel it and use MT5-Quant.
**Performance is slower with remote agents**
- Network latency between Mac and Linux server. Results are sent over TCP after each pass.
- Local gigabit network: negligible. WiFi or WAN: significant overhead. Use wired connection.
**Linux server runs out of memory**
- Each `metatester64.exe` instance uses ~200-400MB.
- 8 agents = ~2-3GB RAM. Size agent count accordingly.
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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "mt5-quant"
version = "0.1.0"
description = "MCP server for MetaTrader 5 backtesting and optimization"
readme = "README.md"
license = { text = "MIT" }
requires-python = ">=3.9"
dependencies = [
"mcp>=1.0.0",
"pyyaml>=6.0",
]
[project.optional-dependencies]
dev = [
"pytest>=7.0",
"pytest-asyncio>=0.21",
]
[project.scripts]
mt5-quant = "server.main:cli"
mt5-analyze = "analytics.analyze:main_generic"
mt5-analyze-grid = "analytics.analyze:main_grid"
mt5-analyze-scalper = "analytics.analyze:main_scalper"
mt5-analyze-trend = "analytics.analyze:main_trend"
mt5-analyze-hedge = "analytics.analyze:main_hedge"
[tool.hatch.build.targets.wheel]
packages = ["server", "analytics"]
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#!/usr/bin/env bash
# backtest_pipeline.sh — 5-stage MT5 backtest pipeline
# Stages: COMPILE → CLEAN → BACKTEST → EXTRACT → ANALYZE
#
# Usage:
# ./scripts/backtest_pipeline.sh [options]
#
# Options:
# --expert NAME EA name (without path or .mq5 extension)
# --symbol SYMBOL Trading symbol (default: from config)
# --from YYYY.MM.DD Start date
# --to YYYY.MM.DD End date
# --preset PRESET last_month | last_3months | ytd | last_year
# --timeframe TF M1 M5 M15 M30 H1 H4 D1 (default: M5)
# --deposit AMOUNT Initial deposit (default: from config)
# --model 0|1|2 Tick model (default: 0=every tick)
# --set FILE Path to .set parameter file
# --leverage N Leverage (default: 500)
# --skip-compile Skip compilation stage
# --skip-clean Skip cache clean stage
# --skip-analyze Skip analysis stage (extract only)
# --deep Run deep analysis (hourly + volume profile)
# --strategy NAME Analysis strategy profile: grid (default) | scalper | trend | hedge | generic
# --timeout N Backtest timeout in seconds (default: 900)
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
# Resolve real physical path (follows symlinks) so analytics/ is found even when
# scripts/ is a symlink (e.g. ~/.config/mt5-quant/scripts -> /path/to/mt5-quant/scripts)
REAL_SCRIPT_DIR="$(cd -P "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
ROOT_DIR="$(cd "${REAL_SCRIPT_DIR}/.." && pwd)"
source "${SCRIPT_DIR}/platform_detect.sh"
# ── Defaults from config ──────────────────────────────────────────────────────
DEFAULT_SYMBOL=$(_cfg "backtest_symbol" "XAUUSD")
DEFAULT_DEPOSIT=$(_cfg "backtest_deposit" "10000")
DEFAULT_CURRENCY=$(_cfg "backtest_currency" "USD")
DEFAULT_LEVERAGE=$(_cfg "backtest_leverage" "500")
DEFAULT_MODEL=$(_cfg "backtest_model" "0")
DEFAULT_TF=$(_cfg "backtest_timeframe" "M5")
DEFAULT_TIMEOUT=$(_cfg "backtest_timeout" "900")
REPORTS_DIR="$(_cfg "reports_dir" "${ROOT_DIR}/reports")"
# Optional: force headless terminal to a specific broker account (needed when live
# trading terminal uses a different broker than the backtest symbol requires).
DEFAULT_LOGIN=$(_cfg "backtest_login" "")
DEFAULT_SERVER=$(_cfg "backtest_server" "")
# ── Parse arguments ───────────────────────────────────────────────────────────
EXPERT=""
SYMBOL="$DEFAULT_SYMBOL"
FROM_DATE=""
TO_DATE=""
PRESET=""
TIMEFRAME="$DEFAULT_TF"
DEPOSIT="$DEFAULT_DEPOSIT"
CURRENCY="$DEFAULT_CURRENCY"
MODEL="$DEFAULT_MODEL"
SET_FILE=""
LEVERAGE="$DEFAULT_LEVERAGE"
SKIP_COMPILE=false
SKIP_CLEAN=false
SKIP_ANALYZE=false
DEEP_ANALYZE=false
STRATEGY="grid"
TIMEOUT="$DEFAULT_TIMEOUT"
PROJECT_DIR="$(_cfg "project_dir" "")"
GUI_MODE=false
while [[ $# -gt 0 ]]; do
case "$1" in
--expert) EXPERT="$2"; shift 2 ;;
--project-dir) PROJECT_DIR="$2"; shift 2 ;;
--gui) GUI_MODE=true; shift ;;
--symbol) SYMBOL="$2"; shift 2 ;;
--from) FROM_DATE="$2"; shift 2 ;;
--to) TO_DATE="$2"; shift 2 ;;
--preset) PRESET="$2"; shift 2 ;;
--timeframe) TIMEFRAME="$2"; shift 2 ;;
--deposit) DEPOSIT="$2"; shift 2 ;;
--model) MODEL="$2"; shift 2 ;;
--set) SET_FILE="$2"; shift 2 ;;
--leverage) LEVERAGE="$2"; shift 2 ;;
--timeout) TIMEOUT="$2"; shift 2 ;;
--skip-compile) SKIP_COMPILE=true; shift ;;
--skip-clean) SKIP_CLEAN=true; shift ;;
--skip-analyze) SKIP_ANALYZE=true; shift ;;
--deep) DEEP_ANALYZE=true; shift ;;
--strategy) STRATEGY="$2"; shift 2 ;;
*) echo "Unknown option: $1" >&2; exit 1 ;;
esac
done
[[ -z "$EXPERT" ]] && { echo "ERROR: --expert is required" >&2; exit 1; }
# ── Preset date resolution ────────────────────────────────────────────────────
if [[ -n "$PRESET" ]]; then
TODAY=$(date +%Y.%m.%d)
case "$PRESET" in
last_month)
FROM_DATE=$(date -d "1 month ago" +%Y.%m.01 2>/dev/null || \
date -v-1m +%Y.%m.01)
TO_DATE="$TODAY"
;;
last_3months)
FROM_DATE=$(date -d "3 months ago" +%Y.%m.01 2>/dev/null || \
date -v-3m +%Y.%m.01)
TO_DATE="$TODAY"
;;
ytd)
FROM_DATE=$(date +%Y.01.01)
TO_DATE="$TODAY"
;;
last_year)
PREV_YEAR=$(( $(date +%Y) - 1 ))
FROM_DATE="${PREV_YEAR}.01.01"
TO_DATE="${PREV_YEAR}.12.31"
;;
*) echo "ERROR: Unknown preset: $PRESET" >&2; exit 1 ;;
esac
fi
[[ -z "$FROM_DATE" || -z "$TO_DATE" ]] && {
echo "ERROR: Provide --from/--to dates or --preset" >&2; exit 1
}
# ── Report directory ──────────────────────────────────────────────────────────
TIMESTAMP=$(date +%Y%m%d_%H%M%S)
REPORT_ID="${TIMESTAMP}_${EXPERT}_${SYMBOL}_${TIMEFRAME}"
REPORT_DIR="${REPORTS_DIR}/${REPORT_ID}"
mkdir -p "$REPORT_DIR"
PIPELINE_START=$(date +%s)
PROGRESS_LOG="${REPORT_DIR}/progress.log"
_progress() { echo "$1 $(date -u +%Y-%m-%dT%H:%M:%SZ) elapsed=$(( $(date +%s) - PIPELINE_START ))" >> "$PROGRESS_LOG"; }
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " MT5-Quant Backtest Pipeline"
echo " Expert: $EXPERT"
echo " Symbol: $SYMBOL Timeframe: $TIMEFRAME Model: $MODEL"
echo " Period: $FROM_DATE$TO_DATE"
echo " Deposit: $CURRENCY $DEPOSIT Leverage: 1:$LEVERAGE"
[[ -n "$SET_FILE" ]] && echo " Set file: $SET_FILE"
echo " Report: $REPORT_DIR"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
# ── Resolve platform ──────────────────────────────────────────────────────────
resolve_platform
# ── Stage 1: COMPILE ──────────────────────────────────────────────────────────
if [[ "$SKIP_COMPILE" == false ]]; then
_progress "COMPILE"
echo ""
echo "[1/5] COMPILE"
# Find source file — check project.dir first, then fall back to pipeline root
EA_SOURCE=""
search_paths=(
"${ROOT_DIR}/src/experts/${EXPERT}.mq5"
"${ROOT_DIR}/src/${EXPERT}.mq5"
"${ROOT_DIR}/${EXPERT}.mq5"
)
if [[ -n "$PROJECT_DIR" ]]; then
search_paths=(
"${PROJECT_DIR}/src/experts/${EXPERT}.mq5"
"${PROJECT_DIR}/src/${EXPERT}.mq5"
"${PROJECT_DIR}/${EXPERT}.mq5"
"${search_paths[@]}"
)
fi
for search_path in "${search_paths[@]}"; do
[[ -f "$search_path" ]] && { EA_SOURCE="$search_path"; break; }
done
[[ -z "$EA_SOURCE" ]] && {
echo " ERROR: Cannot find ${EXPERT}.mq5" >&2
exit 1
}
"${SCRIPT_DIR}/mqlcompile.sh" "$EA_SOURCE"
else
echo "[1/5] COMPILE skipped"
fi
# ── Stage 2: CLEAN ────────────────────────────────────────────────────────────
if [[ "$SKIP_CLEAN" == false ]]; then
_progress "CLEAN"
echo ""
echo "[2/5] CLEAN"
# Clear tester cache
if [[ -d "$MT5_CACHE_DIR" ]]; then
find "$MT5_CACHE_DIR" -name "*.tst" -delete 2>/dev/null || true
echo " Cleared tester cache: $MT5_CACHE_DIR"
fi
# Remove cached .set file for this expert
CACHED_SET="${MT5_TESTER_DIR}/${EXPERT}.set"
if [[ -f "$CACHED_SET" ]]; then
rm -f "$CACHED_SET"
echo " Removed cached .set: $CACHED_SET"
fi
# Reset terminal.ini OptMode — after any test/optimization MT5 sets OptMode=-1
# which causes the next headless run to exit immediately (exit 49, no report)
TERMINAL_INI="${MT5_DIR}/config/terminal.ini"
if [[ -f "$TERMINAL_INI" ]]; then
python3 -c "
import sys, re
path = sys.argv[1]
try:
with open(path, 'rb') as f:
raw = f.read()
# Detect encoding: UTF-16 with BOM, or plain text
if raw[:2] in (b'\xff\xfe', b'\xfe\xff'):
text = raw.decode('utf-16')
encoding = 'utf-16'
else:
text = raw.decode('utf-8', errors='replace')
encoding = 'utf-8'
text = re.sub(r'(?m)^OptMode=-1\s*$', 'OptMode=0', text)
text = re.sub(r'(?m)^LastOptimization=1\s*\n?', '', text)
with open(path, 'wb') as f:
f.write(text.encode(encoding))
print(' Reset OptMode=-1 -> OptMode=0 in terminal.ini')
except Exception as e:
print(f' Warning: could not reset OptMode in terminal.ini: {e}')
" "$TERMINAL_INI" 2>/dev/null || true
echo " Reset terminal.ini OptMode"
fi
else
echo "[2/5] CLEAN skipped"
fi
# ── Prepare .set file ─────────────────────────────────────────────────────────
if [[ -n "$SET_FILE" ]]; then
# Resolve relative paths against PROJECT_DIR (fallback: script ROOT_DIR, then CWD)
if [[ ! -f "$SET_FILE" ]]; then
for base in "$PROJECT_DIR" "$ROOT_DIR" "$(pwd)"; do
[[ -n "$base" && -f "${base}/${SET_FILE}" ]] && { SET_FILE="${base}/${SET_FILE}"; break; }
done
fi
if [[ ! -f "$SET_FILE" ]]; then
echo "ERROR: Set file not found: $SET_FILE" >&2
exit 1
fi
# Copy to tester profiles dir (MT5 reads from here)
mkdir -p "$MT5_TESTER_DIR"
cp "$SET_FILE" "${MT5_TESTER_DIR}/${EXPERT}.set"
SET_FILENAME="$(basename "$SET_FILE")"
fi
# ── Stage 3: BACKTEST ─────────────────────────────────────────────────────────
_progress "BACKTEST"
echo ""
echo "[3/5] BACKTEST"
# Guard: detect if terminal64.exe is already running (live trading mode).
# MT5 uses a single-instance lock per Wine prefix — a second headless instance
# exits in ~3s with no report. Kill the existing instance before proceeding.
if pgrep -f "wine64-preloader.*terminal64\.exe" > /dev/null 2>&1; then
echo " WARNING: MetaTrader 5 is already running — killing it to allow backtest."
echo " (Restart MT5 manually after the backtest if needed.)"
# Graceful SIGTERM first, then SIGKILL after 5s
pkill -TERM -f "wine64-preloader.*terminal64\.exe" 2>/dev/null || true
for _i in 1 2 3 4 5; do
sleep 1
pgrep -f "wine64-preloader.*terminal64\.exe" > /dev/null 2>&1 || break
done
# Force-kill if still alive
if pgrep -f "wine64-preloader.*terminal64\.exe" > /dev/null 2>&1; then
pkill -KILL -f "wine64-preloader.*terminal64\.exe" 2>/dev/null || true
sleep 1
fi
echo " MT5 stopped."
fi
# Build backtest.ini
REPORT_FILENAME="${REPORT_ID}.htm"
# Relative path — MT5 resolves against its working dir (C:\Program Files\MetaTrader 5\reports\)
WINE_REPORT_PATH="reports\\${REPORT_FILENAME}"
INI_HOST_PATH="${MT5_DIR}/backtest_config.ini"
mkdir -p "${MT5_DIR}/reports"
# Prepend [Common] section if login/server are configured — forces the headless
# terminal to connect to the correct broker account (avoids "symbol not exist"
# when live terminal uses a different broker than the backtest symbol requires).
INI_CONTENT=""
if [[ -n "$DEFAULT_LOGIN" && -n "$DEFAULT_SERVER" ]]; then
INI_CONTENT="[Common]
Login=${DEFAULT_LOGIN}
Server=${DEFAULT_SERVER}
"
fi
INI_CONTENT+="[Tester]
Expert=${EXPERT}.ex5
Symbol=${SYMBOL}
Period=${TIMEFRAME}
Optimization=0
Model=${MODEL}
FromDate=${FROM_DATE}
ToDate=${TO_DATE}
ForwardMode=0
Deposit=${DEPOSIT}
Currency=${CURRENCY}
ProfitInPips=1
Leverage=${LEVERAGE}
ExecutionMode=10
OptimizationCriterion=0
Visual=$([[ "$GUI_MODE" == true ]] && echo 1 || echo 0)
Report=${WINE_REPORT_PATH}
ReplaceReport=1
ShutdownTerminal=1
"
[[ -n "$SET_FILE" ]] && INI_CONTENT+="ExpertParameters=${EXPERT}.set
"
# MT5 requires UTF-16LE with BOM — plain UTF-8 is silently ignored
printf "%s" "$INI_CONTENT" | iconv -f UTF-8 -t UTF-16LE > "${INI_HOST_PATH}.tmp"
# Prepend BOM (FF FE)
printf '\xff\xfe' | cat - "${INI_HOST_PATH}.tmp" > "${INI_HOST_PATH}"
rm -f "${INI_HOST_PATH}.tmp"
# Set Wine prefix — CRITICAL: without WINEPREFIX, Wine uses ~/.wine (wrong prefix)
# which causes MT5 to exit immediately (no registry, no tick data, no report)
WINE_PREFIX_DIR=$(dirname "$(dirname "$(dirname "$MT5_DIR")")")
export WINEPREFIX="$WINE_PREFIX_DIR"
export WINEDEBUG="-all"
# Write launcher batch (start /wait works correctly once WINEPREFIX is set)
BAT_PATH="${WINE_PREFIX_DIR}/drive_c/_mt5mcp_run.bat"
cat > "$BAT_PATH" << 'BATEOF'
@echo off
cd /d "C:\Program Files\MetaTrader 5"
start /wait terminal64.exe /config:"C:\Program Files\MetaTrader 5\backtest_config.ini"
BATEOF
echo " Launching MT5 (timeout: ${TIMEOUT}s) ..."
BACKTEST_START=$(date +%s)
set +e
timeout "${TIMEOUT}" ${MT5_ARCH} "${MT5_WINE}" cmd.exe /c 'C:\_mt5mcp_run.bat' 2>/dev/null
WINE_EXIT=$?
set -e
rm -f "$BAT_PATH"
BACKTEST_ELAPSED=$(( $(date +%s) - BACKTEST_START ))
echo " MT5 completed in ${BACKTEST_ELAPSED}s (exit: ${WINE_EXIT})"
# Give MT5 a moment to flush the report to disk
sleep 2
# ── Locate report file ────────────────────────────────────────────────────────
MT5_REPORT=""
# Primary: expected relative path from ini
for ext in ".htm" ".htm.xml" ".html"; do
candidate="${MT5_DIR}/reports/${REPORT_ID}${ext}"
if [[ -f "$candidate" ]]; then
MT5_REPORT="$candidate"
break
fi
done
# Fallback: any HTM in MT5_DIR newer than the ini file
if [[ -z "$MT5_REPORT" ]]; then
MT5_REPORT=$(find "${MT5_DIR}" -maxdepth 3 -name "*.htm" -newer "${INI_HOST_PATH}" 2>/dev/null | head -1)
fi
if [[ -z "$MT5_REPORT" ]]; then
echo " ERROR: MT5 produced no report." >&2
echo " Check: symbol name, date range, EA name, and that MT5 ran to completion." >&2
exit 1
fi
echo " Report: $MT5_REPORT"
# ── Stage 4: EXTRACT ─────────────────────────────────────────────────────────
_progress "EXTRACT"
echo ""
echo "[4/5] EXTRACT"
python3 "${ROOT_DIR}/analytics/extract.py" \
"$MT5_REPORT" \
--output-dir "$REPORT_DIR" \
&& echo " → metrics.json, deals.csv, deals.json"
# ── Stage 5: ANALYZE ─────────────────────────────────────────────────────────
if [[ "$SKIP_ANALYZE" == false ]]; then
_progress "ANALYZE"
echo ""
echo "[5/5] ANALYZE"
ANALYZE_FLAGS="$STRATEGY"
[[ "$DEEP_ANALYZE" == true ]] && ANALYZE_FLAGS="$ANALYZE_FLAGS --deep"
python3 "${ROOT_DIR}/analytics/analyze.py" \
$ANALYZE_FLAGS \
"${REPORT_DIR}/deals.csv" \
--output-dir "$REPORT_DIR" \
&& echo " → analysis.json [$STRATEGY]"
else
echo "[5/5] ANALYZE skipped"
fi
# ── Save pipeline metadata ────────────────────────────────────────────────────
_progress "DONE"
PIPELINE_ELAPSED=$(( $(date +%s) - PIPELINE_START ))
python3 - << PYEOF
import json, os
meta = {
"expert": "${EXPERT}",
"symbol": "${SYMBOL}",
"timeframe": "${TIMEFRAME}",
"from_date": "${FROM_DATE}",
"to_date": "${TO_DATE}",
"deposit": ${DEPOSIT},
"currency": "${CURRENCY}",
"model": ${MODEL},
"leverage": ${LEVERAGE},
"set_file": "${SET_FILE}",
"report_dir": "${REPORT_DIR}",
"duration_seconds": ${PIPELINE_ELAPSED},
"files": {
"metrics": "${REPORT_DIR}/metrics.json",
"analysis": "${REPORT_DIR}/analysis.json",
"deals_csv": "${REPORT_DIR}/deals.csv",
"deals_json": "${REPORT_DIR}/deals.json"
}
}
with open("${REPORT_DIR}/pipeline_metadata.json", "w") as f:
json.dump(meta, f, indent=2)
PYEOF
# ── Summary ───────────────────────────────────────────────────────────────────
echo ""
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " Pipeline complete in ${PIPELINE_ELAPSED}s"
echo " Report: $REPORT_DIR"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
# Print key metrics inline
if [[ -f "${REPORT_DIR}/metrics.json" ]]; then
python3 - << PYEOF
import json
with open("${REPORT_DIR}/metrics.json") as f:
m = json.load(f)
print(f" Profit: \${m.get('net_profit',0):,.2f} PF: {m.get('profit_factor',0):.2f} DD: {m.get('max_dd_pct',0):.2f}% Sharpe: {m.get('sharpe_ratio',0):.2f} Trades: {m.get('total_trades',0)}")
PYEOF
fi
+143
View File
@@ -0,0 +1,143 @@
#!/usr/bin/env bash
# mqlcompile.sh — Compile an MQL5 Expert Advisor via MetaEditor (Wine/CrossOver)
#
# Usage:
# ./scripts/mqlcompile.sh <path/to/Expert.mq5>
#
# Output:
# Compiled .ex5 written to MT5_EXPERTS_DIR
# Exit 0 on success, 1 on compile errors
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
source "${SCRIPT_DIR}/platform_detect.sh"
# ── Args ──────────────────────────────────────────────────────────────────────
SOURCE_FILE="${1:-}"
if [[ -z "$SOURCE_FILE" ]]; then
echo "Usage: $0 <path/to/Expert.mq5>" >&2
exit 1
fi
if [[ ! -f "$SOURCE_FILE" ]]; then
echo "ERROR: Source file not found: $SOURCE_FILE" >&2
exit 1
fi
SOURCE_FILE="$(realpath "$SOURCE_FILE")"
EXPERT_NAME="$(basename "$SOURCE_FILE" .mq5)"
# ── Resolve platform ──────────────────────────────────────────────────────────
resolve_platform
METAEDITOR="${MT5_DIR}/metaeditor64.exe"
if [[ ! -f "$METAEDITOR" ]]; then
echo "ERROR: metaeditor64.exe not found at: $METAEDITOR" >&2
exit 1
fi
# ── Copy source to MT5 Experts source dir ────────────────────────────────────
# MetaEditor requires the source file to be inside the MT5 directory tree
MT5_SRC_DIR="${MT5_DIR}/MQL5/Experts"
mkdir -p "$MT5_SRC_DIR"
cp "$SOURCE_FILE" "${MT5_SRC_DIR}/${EXPERT_NAME}.mq5"
WINE_SRC_PATH="$(host_to_wine_path "${MT5_SRC_DIR}/${EXPERT_NAME}.mq5")"
# ── Sync .mqh include files to MT5 Include dir ───────────────────────────────
# Auto-detect include/ directory relative to source file. Searches up to 2
# levels above the source file for an include/ sibling directory.
# Layout supported:
# <project>/experts/EA.mq5 + <project>/include/<subdir>/*.mqh
# <project>/src/experts/EA.mq5 + <project>/src/include/<subdir>/*.mqh
_find_include_dir() {
local source_dir="$1"
local candidate
for candidate in "$source_dir" "$(dirname "$source_dir")" "$(dirname "$(dirname "$source_dir")")"; do
if [[ -d "${candidate}/include" ]]; then
echo "${candidate}/include"
return 0
fi
done
return 1
}
INCLUDE_BASE=""
INCLUDE_BASE=$(_find_include_dir "$(dirname "$SOURCE_FILE")") || true
if [[ -n "$INCLUDE_BASE" ]]; then
synced_total=0
# Sync each subdirectory under include/ → MQL5/Include/<subdir>/
while IFS= read -r -d '' subdir; do
dir_name="$(basename "$subdir")"
mt5_dest="${MT5_DIR}/MQL5/Include/${dir_name}"
rm -rf "$mt5_dest"
cp -r "$subdir" "$mt5_dest"
count=$(find "$mt5_dest" -name "*.mqh" | wc -l | tr -d ' ')
echo "[compile] Synced ${count} .mqh → Include/${dir_name}/"
synced_total=$((synced_total + count))
done < <(find "$INCLUDE_BASE" -mindepth 1 -maxdepth 1 -type d -print0 2>/dev/null)
# Also sync any .mqh files directly in include/ (flat layout)
while IFS= read -r -d '' mqh; do
cp "$mqh" "${MT5_DIR}/MQL5/Include/"
synced_total=$((synced_total + 1))
done < <(find "$INCLUDE_BASE" -maxdepth 1 -name "*.mqh" -print0 2>/dev/null)
if [[ $synced_total -eq 0 ]]; then
echo "[compile] INFO: include/ found but contains no .mqh files — skipping sync"
else
echo "[compile] Synced ${synced_total} .mqh file(s) total"
fi
else
echo "[compile] INFO: No include/ directory found — skipping .mqh sync"
fi
# ── Set Wine prefix ───────────────────────────────────────────────────────────
WINE_PREFIX_DIR=$(dirname "$(dirname "$(dirname "$MT5_DIR")")")
export WINEPREFIX="$WINE_PREFIX_DIR"
export WINEDEBUG="-all"
# ── Run MetaEditor ────────────────────────────────────────────────────────────
echo "[compile] Compiling ${EXPERT_NAME}.mq5 ..."
LOG_FILE="$(mktemp /tmp/mqlcompile_XXXXXX.log)"
set +e
${MT5_ARCH} "${MT5_WINE}" "${METAEDITOR}" \
/compile:"${WINE_SRC_PATH}" \
/log:"${LOG_FILE}" \
2>/dev/null
WINE_EXIT=$?
set -e
# MetaEditor always exits 0 on macOS/Wine; check log for errors
ERRORS=0
WARNINGS=0
if [[ -f "$LOG_FILE" ]]; then
# Log may be UTF-16LE
LOG_TEXT=$(iconv -f UTF-16LE -t UTF-8 "$LOG_FILE" 2>/dev/null || cat "$LOG_FILE")
ERRORS=$(echo "$LOG_TEXT" | grep -cE "^.*error" || true)
WARNINGS=$(echo "$LOG_TEXT" | grep -cE "^.*warning" || true)
if [[ $ERRORS -gt 0 ]]; then
echo "[compile] FAILED: $ERRORS error(s), $WARNINGS warning(s)"
echo "$LOG_TEXT" | grep -E "error|warning" | head -20
rm -f "$LOG_FILE"
exit 1
fi
fi
# ── Verify .ex5 was produced ──────────────────────────────────────────────────
EX5_PATH="${MT5_SRC_DIR}/${EXPERT_NAME}.ex5"
if [[ ! -f "$EX5_PATH" ]]; then
echo "[compile] ERROR: .ex5 not produced. MetaEditor may have failed silently." >&2
[[ -f "$LOG_FILE" ]] && cat "$LOG_FILE"
exit 1
fi
BINARY_SIZE=$(stat -f%z "$EX5_PATH" 2>/dev/null || stat -c%s "$EX5_PATH")
echo "[compile] OK: ${EXPERT_NAME}.ex5 (${BINARY_SIZE} bytes, ${WARNINGS} warning(s))"
rm -f "$LOG_FILE"
exit 0
+226
View File
@@ -0,0 +1,226 @@
#!/usr/bin/env bash
# optimize.sh — Launch MT5 genetic optimization (always background + detached)
#
# Usage:
# ./scripts/optimize.sh [options]
#
# Options:
# --expert NAME EA name
# --set FILE Optimization .set file (with ||Y flags)
# --symbol SYMBOL Trading symbol
# --from YYYY.MM.DD Start date
# --to YYYY.MM.DD End date
# --deposit AMOUNT Initial deposit
# --model 0|1|2 Tick model (ALWAYS use 0 for grid/martingale EAs)
# --log FILE Log file path (default: /tmp/mt5opt_TIMESTAMP.log)
#
# IMPORTANT: This script launches MT5 as a detached background process.
# It returns immediately. Do NOT set a timeout on this script.
# Monitor /tmp/mt5opt_*.log and wait for user signal before parsing results.
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
ROOT_DIR="$(cd "${SCRIPT_DIR}/.." && pwd)"
source "${SCRIPT_DIR}/platform_detect.sh"
# ── Defaults ──────────────────────────────────────────────────────────────────
DEFAULT_SYMBOL=$(_cfg "backtest_symbol" "XAUUSD")
DEFAULT_DEPOSIT=$(_cfg "backtest_deposit" "10000")
DEFAULT_CURRENCY=$(_cfg "backtest_currency" "USD")
DEFAULT_LEVERAGE=$(_cfg "backtest_leverage" "500")
EXPERT=""
SET_FILE=""
SYMBOL="$DEFAULT_SYMBOL"
FROM_DATE=""
TO_DATE=""
DEPOSIT="$DEFAULT_DEPOSIT"
CURRENCY="$DEFAULT_CURRENCY"
LEVERAGE="$DEFAULT_LEVERAGE"
MODEL=0 # ALWAYS 0 for optimization — see below
LOG_FILE=""
while [[ $# -gt 0 ]]; do
case "$1" in
--expert) EXPERT="$2"; shift 2 ;;
--set) SET_FILE="$2"; shift 2 ;;
--symbol) SYMBOL="$2"; shift 2 ;;
--from) FROM_DATE="$2"; shift 2 ;;
--to) TO_DATE="$2"; shift 2 ;;
--deposit) DEPOSIT="$2"; shift 2 ;;
--model)
# Warn if user tries to use model != 0
if [[ "$2" != "0" ]]; then
echo "WARNING: --model $2 ignored. Optimization always uses model=0." >&2
echo " Model 1/2 overfits martingale/grid EAs (intra-bar price not simulated)." >&2
fi
shift 2
;;
--log) LOG_FILE="$2"; shift 2 ;;
*) echo "Unknown option: $1" >&2; exit 1 ;;
esac
done
[[ -z "$EXPERT" ]] && { echo "ERROR: --expert is required" >&2; exit 1; }
[[ -z "$SET_FILE" ]] && { echo "ERROR: --set is required" >&2; exit 1; }
[[ -z "$FROM_DATE" ]] && { echo "ERROR: --from is required" >&2; exit 1; }
[[ -z "$TO_DATE" ]] && { echo "ERROR: --to is required" >&2; exit 1; }
[[ ! -f "$SET_FILE" ]] && { echo "ERROR: Set file not found: $SET_FILE" >&2; exit 1; }
TIMESTAMP=$(date +%Y%m%d_%H%M%S)
LOG_FILE="${LOG_FILE:-/tmp/mt5opt_${TIMESTAMP}.log}"
JOB_ID="opt_${TIMESTAMP}"
# ── Resolve platform ──────────────────────────────────────────────────────────
resolve_platform
# ── Write .set file as UTF-16LE with BOM (read-only) ─────────────────────────
# MT5 REQUIREMENT: optimization .set files must be UTF-16LE with BOM.
# If provided as UTF-8, MT5 strips the ||Y optimization flags silently —
# every pass runs with the fixed base value and optimization is useless.
python3 - << PYEOF
import sys, os, shutil
src = "${SET_FILE}"
dst = "${MT5_TESTER_DIR}/${EXPERT}.set"
os.makedirs("${MT5_TESTER_DIR}", exist_ok=True)
with open(src, 'r', encoding='utf-8', errors='replace') as f:
content = f.read()
# Write UTF-16LE with BOM
with open(dst, 'w', encoding='utf-16-le') as f:
f.write('\ufeff') # BOM
f.write(content)
# Make read-only — prevents MT5 from overwriting ||Y flags during optimization
os.chmod(dst, 0o444)
print(f" .set → {dst} (UTF-16LE, read-only)")
PYEOF
# ── Reset OptMode in terminal.ini ─────────────────────────────────────────────
# After any optimization run (complete or aborted), MT5 writes OptMode=-1.
# On next launch, MT5 reads OptMode=-1 and exits immediately without running.
# Must reset to 0 before every optimization launch.
TERMINAL_INI="${MT5_DIR}/terminal.ini"
if [[ -f "$TERMINAL_INI" ]]; then
# Use Python for safe in-place edit (sed -i behaves differently on macOS vs Linux)
python3 - << PYEOF
import re
ini_path = "${TERMINAL_INI}"
with open(ini_path, 'r', errors='replace') as f:
content = f.read()
# Reset OptMode
content = re.sub(r'OptMode=.*', 'OptMode=0', content)
# Remove LastOptimization (causes MT5 to skip running)
content = re.sub(r'LastOptimization=.*\n?', '', content)
with open(ini_path, 'w') as f:
f.write(content)
print(f" terminal.ini: OptMode reset to 0")
PYEOF
fi
# ── Build optimization INI ────────────────────────────────────────────────────
WINE_PREFIX_DIR=$(dirname "$(dirname "$MT5_DIR")")
cat > "${WINE_PREFIX_DIR}/drive_c/mt5mcp_backtest.ini" << INI
[Tester]
Expert=${EXPERT}
Symbol=${SYMBOL}
Period=M5
Deposit=${DEPOSIT}
Currency=${CURRENCY}
Leverage=${LEVERAGE}
Model=${MODEL}
FromDate=${FROM_DATE}
ToDate=${TO_DATE}
Report=C:\\mt5mcp_opt_report
Optimization=2
ExpertParameters=${EXPERT}.set
ShutdownTerminal=1
INI
cat > "${WINE_PREFIX_DIR}/drive_c/mt5mcp_run.bat" << 'EOF'
@echo off
"C:\Program Files\MetaTrader 5\terminal64.exe" /config:C:\mt5mcp_backtest.ini
EOF
# ── Count optimization combinations ──────────────────────────────────────────
COMBINATIONS=$(python3 - << PYEOF
import re, math
with open("${SET_FILE}", 'r', errors='replace') as f:
lines = f.readlines()
total = 1
for line in lines:
line = line.strip()
if line.startswith(';') or '=' not in line:
continue
# Format: param=value||start||step||stop||Y
parts = line.split('||')
if len(parts) >= 5 and parts[-1].strip().upper() == 'Y':
try:
start = float(parts[1])
step = float(parts[2])
stop = float(parts[3])
count = max(1, int((stop - start) / step) + 1)
total *= count
except (ValueError, ZeroDivisionError):
pass
print(total)
PYEOF
)
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " MT5-Quant Genetic Optimization"
echo " Job ID: $JOB_ID"
echo " Expert: $EXPERT"
echo " Symbol: $SYMBOL Model: ${MODEL} (every tick)"
echo " Period: $FROM_DATE$TO_DATE"
echo " Set file: $SET_FILE"
echo " Combos: $COMBINATIONS (genetic — converges in ~300-500 passes)"
echo " Log: $LOG_FILE"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
# ── Launch detached ───────────────────────────────────────────────────────────
# nohup: prevents SIGHUP when parent (Claude task, SSH session) exits
# disown: removes from shell job table so shell exit doesn't kill it
# Both are required for true detachment.
nohup bash -c "${MT5_ARCH} '${MT5_WINE}' cmd.exe /c 'C:\\mt5mcp_run.bat' 2>/dev/null || true" \
> "$LOG_FILE" 2>&1 &
OPT_PID=$!
disown $OPT_PID
# Write job metadata
JOBS_DIR="${ROOT_DIR}/.mt5mcp_jobs"
mkdir -p "$JOBS_DIR"
cat > "${JOBS_DIR}/${JOB_ID}.json" << JEOF
{
"job_id": "${JOB_ID}",
"pid": ${OPT_PID},
"expert": "${EXPERT}",
"symbol": "${SYMBOL}",
"from_date": "${FROM_DATE}",
"to_date": "${TO_DATE}",
"set_file": "${SET_FILE}",
"combinations": ${COMBINATIONS},
"log_file": "${LOG_FILE}",
"wine_prefix": "${WINE_PREFIX_DIR}",
"started_at": "$(date -u +%Y-%m-%dT%H:%M:%SZ)"
}
JEOF
echo ""
echo " Launched (pid: $OPT_PID)"
echo " Optimization runs for 2-6 hours. Do NOT kill this process."
echo " Signal when MT5 shows 'Optimization complete' and use:"
echo " python3 analytics/optimize_parser.py --job $JOB_ID"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
+244
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#!/usr/bin/env bash
# platform_detect.sh — Detect Wine path, MT5 location, and display mode
# Sourced by other scripts: source scripts/platform_detect.sh
# Sets: MT5_WINE, MT5_DIR, MT5_EXPERTS_DIR, MT5_TESTER_DIR, MT5_CACHE_DIR, DISPLAY_ENV
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
# Config resolution: user config (~/.config/mt5-quant/) takes precedence over repo config
_USER_CFG="${HOME}/.config/mt5-quant/config/mt5-quant.yaml"
_REPO_CFG="${SCRIPT_DIR}/../config/mt5-quant.yaml"
if [[ -f "$_USER_CFG" ]]; then
CONFIG_FILE="$_USER_CFG"
elif [[ -f "$_REPO_CFG" ]]; then
CONFIG_FILE="$_REPO_CFG"
else
CONFIG_FILE="$_REPO_CFG" # will fail gracefully in _cfg
fi
# ── Config reader (minimal YAML parser for simple key: value) ────────────────
_cfg() {
local key="$1"
local default="${2:-}"
if [[ -f "$CONFIG_FILE" ]]; then
local val
val=$(grep -E "^[[:space:]]*${key}[[:space:]]*:" "$CONFIG_FILE" 2>/dev/null \
| head -1 | sed 's/.*:[[:space:]]*//' | tr -d '"' | tr -d "'" | tr -d '\r')
if [[ -n "$val" && "$val" != "null" && "$val" != '""' ]]; then
echo "$val"
return
fi
fi
echo "$default"
}
# ── Wine / CrossOver detection ───────────────────────────────────────────────
_detect_wine() {
local configured
configured=$(_cfg "wine_executable")
if [[ -n "$configured" && -x "$configured" ]]; then
echo "$configured"
return 0
fi
# Auto-detect: native MT5.app (macOS App Store / direct download)
local mt5_app_wine="/Applications/MetaTrader 5.app/Contents/SharedSupport/wine/bin/wine64"
if [[ -x "$mt5_app_wine" ]]; then
echo "$mt5_app_wine"
return 0
fi
# Auto-detect: CrossOver (macOS)
local crossover_wine="/Applications/CrossOver.app/Contents/SharedSupport/CrossOver/bin/wine64"
if [[ -x "$crossover_wine" ]]; then
echo "$crossover_wine"
return 0
fi
# Auto-detect: Wine (Linux / Homebrew)
for candidate in wine64 wine; do
if command -v "$candidate" &>/dev/null; then
echo "$(command -v "$candidate")"
return 0
fi
done
echo ""
return 1
}
# ── MT5 terminal directory detection ─────────────────────────────────────────
_detect_mt5_dir() {
local configured
configured=$(_cfg "terminal_dir")
[[ -n "$configured" && -d "$configured" ]] && { echo "$configured"; return 0; }
# macOS CrossOver — scan all bottles
if [[ "$(uname -s)" == "Darwin" ]]; then
# Native MT5.app sandboxed Wine prefix (most common on macOS)
local app_support="$HOME/Library/Application Support"
for prefix_pattern in \
"net.metaquotes.wine.metatrader5" \
"MetaTrader 5/Bottles/metatrader5"; do
local candidate="${app_support}/${prefix_pattern}/drive_c/Program Files/MetaTrader 5"
if [[ -f "${candidate}/terminal64.exe" ]]; then
echo "$candidate"
return 0
fi
done
# CrossOver old-style ~/.cxoffice bottles
local bottle_base="$HOME/.cxoffice"
if [[ -d "$bottle_base" ]]; then
while IFS= read -r -d '' terminal; do
echo "$(dirname "$terminal")"
return 0
done < <(find "$bottle_base" -name "terminal64.exe" -print0 2>/dev/null | head -z -1)
fi
# CrossOver 24+ default location
local mq_base="$HOME/Library/Application Support/MetaQuotes"
if [[ -d "$mq_base" ]]; then
while IFS= read -r -d '' terminal; do
echo "$(dirname "$terminal")"
return 0
done < <(find "$mq_base" -name "terminal64.exe" -print0 2>/dev/null | head -z -1)
fi
fi
# Linux Wine — common default
local wine_mt5="$HOME/.wine/drive_c/Program Files/MetaTrader 5"
[[ -d "$wine_mt5" ]] && { echo "$wine_mt5"; return 0; }
echo ""
return 1
}
# ── Display / headless mode ───────────────────────────────────────────────────
_detect_display_env() {
local mode
mode=$(_cfg "display_mode" "auto")
local xvfb_display
xvfb_display=$(_cfg "xvfb_display" ":99")
local xvfb_screen
xvfb_screen=$(_cfg "xvfb_screen" "1024x768x16")
case "$mode" in
false|gui)
# GUI mode — use whatever DISPLAY is set
echo "gui"
return 0
;;
true|headless)
# Force headless via Xvfb
_start_xvfb "$xvfb_display" "$xvfb_screen"
echo "headless:${xvfb_display}"
return 0
;;
auto|*)
# macOS: CrossOver handles display — no Xvfb needed
if [[ "$(uname -s)" == "Darwin" ]]; then
echo "gui"
return 0
fi
# Linux: if $DISPLAY is set, use it; otherwise start Xvfb
if [[ -n "${DISPLAY:-}" ]]; then
echo "gui"
return 0
fi
_start_xvfb "$xvfb_display" "$xvfb_screen"
echo "headless:${xvfb_display}"
return 0
;;
esac
}
_start_xvfb() {
local display="$1"
local screen="$2"
if ! command -v Xvfb &>/dev/null; then
echo "[platform_detect] ERROR: headless mode requires Xvfb. Install with:" >&2
echo " sudo apt install xvfb # Debian/Ubuntu" >&2
echo " sudo yum install xorg-x11-server-Xvfb # RHEL/CentOS" >&2
exit 1
fi
# Check if already running
if xdpyinfo -display "$display" &>/dev/null 2>&1; then
return 0 # already up
fi
Xvfb "$display" -screen 0 "$screen" &>/dev/null &
local xvfb_pid=$!
sleep 1 # brief wait for Xvfb to initialize
if ! xdpyinfo -display "$display" &>/dev/null 2>&1; then
echo "[platform_detect] ERROR: Xvfb failed to start on display ${display}" >&2
exit 1
fi
echo "[platform_detect] Xvfb started (pid=${xvfb_pid}, display=${display})" >&2
}
# ── macOS arch flag ───────────────────────────────────────────────────────────
_arch_prefix() {
if [[ "$(uname -s)" == "Darwin" && "$(uname -m)" == "arm64" ]]; then
echo "arch -x86_64"
else
echo ""
fi
}
# ── Wine path converter (host path → Windows C:\ path) ───────────────────────
host_to_wine_path() {
local host_path="$1"
# Convert Unix absolute path to Wine C:\ equivalent
# Works for both CrossOver and standard Wine
echo "$host_path" | sed \
-e 's|.*drive_c/|C:\\|' \
-e 's|/|\\|g'
}
# ── Main: resolve everything and export ───────────────────────────────────────
resolve_platform() {
MT5_WINE=$(_detect_wine) || {
echo "[platform_detect] ERROR: Wine/CrossOver not found." >&2
echo " Configure wine_executable in config/mt5-quant.yaml" >&2
echo " macOS: install CrossOver from https://www.codeweavers.com/" >&2
echo " Linux: sudo apt install wine64" >&2
exit 1
}
MT5_DIR=$(_detect_mt5_dir) || {
echo "[platform_detect] ERROR: MetaTrader 5 installation not found." >&2
echo " Configure terminal_dir in config/mt5-quant.yaml" >&2
exit 1
}
# Derive sub-paths from MT5_DIR (override via config if needed)
MT5_EXPERTS_DIR="$(_cfg "experts_dir" "${MT5_DIR}/MQL5/Experts")"
MT5_TESTER_DIR="$(_cfg "tester_profiles_dir" "${MT5_DIR}/MQL5/Profiles/Tester")"
MT5_CACHE_DIR="$(_cfg "tester_cache_dir" "${MT5_DIR}/Tester")"
MT5_ARCH="$(_arch_prefix)"
DISPLAY_MODE=$(_detect_display_env)
if [[ "$DISPLAY_MODE" == headless:* ]]; then
export DISPLAY="${DISPLAY_MODE#headless:}"
fi
export MT5_WINE MT5_DIR MT5_EXPERTS_DIR MT5_TESTER_DIR MT5_CACHE_DIR MT5_ARCH DISPLAY_MODE
}
# Run if executed directly (not sourced)
if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then
resolve_platform
echo "Wine: $MT5_WINE"
echo "MT5 dir: $MT5_DIR"
echo "Experts: $MT5_EXPERTS_DIR"
echo "Tester: $MT5_TESTER_DIR"
echo "Cache: $MT5_CACHE_DIR"
echo "Display: $DISPLAY_MODE"
echo "Arch: ${MT5_ARCH:-native}"
fi
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#!/usr/bin/env bash
# setup.sh — Auto-detect MT5/Wine paths and write config/mt5-quant.yaml
# Usage: bash scripts/setup.sh [--yes] [--output /path/to/config.yaml] [--keep-last N] [--claude-code]
#
# --yes Overwrite existing config and register MCP without prompting
# --output FILE Write to a custom path instead of config/mt5-quant.yaml
# --keep-last N Keep only last N backtest reports (default: 20)
# --claude-code Generate CLAUDE.md template and .claude/hooks/user-prompt-submit.sh
# (skips main config wizard — run standalone or alongside normal setup)
set -uo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
REPO_DIR="$(cd "${SCRIPT_DIR}/.." && pwd)"
CONFIG_OUT="${REPO_DIR}/config/mt5-quant.yaml"
AUTO_YES=false
KEEP_LAST=20
CLAUDE_CODE=false
# ── Argument parsing ──────────────────────────────────────────────────────────
while [[ $# -gt 0 ]]; do
case "$1" in
--yes|-y) AUTO_YES=true ;;
--output) CONFIG_OUT="$2"; shift ;;
--keep-last) KEEP_LAST="$2"; shift ;;
--claude-code) CLAUDE_CODE=true ;;
*) echo "Unknown option: $1" >&2; exit 1 ;;
esac
shift
done
# ── Helpers ───────────────────────────────────────────────────────────────────
_green() { printf '\033[0;32m%s\033[0m\n' "$*"; }
_yellow() { printf '\033[0;33m%s\033[0m\n' "$*"; }
_red() { printf '\033[0;31m%s\033[0m\n' "$*"; }
_bold() { printf '\033[1m%s\033[0m\n' "$*"; }
_ok() { printf ' \033[0;32m✓\033[0m %s\n' "$*"; }
_warn() { printf ' \033[0;33m⚠\033[0m %s\n' "$*"; }
_fail() { printf ' \033[0;31m✗\033[0m %s\n' "$*"; }
_ask() {
# _ask "Prompt text" default_value → echoes user input or default
local prompt="$1"
local default="${2:-}"
if [[ -n "$default" ]]; then
printf '%s [%s]: ' "$prompt" "$default" >&2
else
printf '%s: ' "$prompt" >&2
fi
local answer
read -r answer
echo "${answer:-$default}"
}
_pick() {
# _pick "Label" item1 item2 ... → echoes chosen item
local label="$1"; shift
local items=("$@")
if [[ ${#items[@]} -eq 1 ]]; then
echo "${items[0]}"
return
fi
printf '\n%s\n' "$label" >&2
local i
for i in "${!items[@]}"; do
printf ' [%d] %s\n' "$((i+1))" "${items[$i]}" >&2
done
local choice
while true; do
printf ' Choose [1-%d]: ' "${#items[@]}" >&2
read -r choice
if [[ "$choice" =~ ^[0-9]+$ ]] && (( choice >= 1 && choice <= ${#items[@]} )); then
echo "${items[$((choice-1))]}"
return
fi
printf ' Invalid choice.\n' >&2
done
}
# ── Wine candidate scanner ────────────────────────────────────────────────────
_scan_wine_candidates() {
local candidates=()
local os
os="$(uname -s)"
if [[ "$os" == "Darwin" ]]; then
# Native MT5.app (bundled Wine — most common on macOS)
local mt5_app_wine="/Applications/MetaTrader 5.app/Contents/SharedSupport/wine/bin/wine64"
[[ -x "$mt5_app_wine" ]] && candidates+=("$mt5_app_wine")
# CrossOver (classic install)
local cxover="/Applications/CrossOver.app/Contents/SharedSupport/CrossOver/bin/wine64"
[[ -x "$cxover" ]] && candidates+=("$cxover")
# Homebrew wine
for brew_wine in /opt/homebrew/bin/wine64 /usr/local/bin/wine64 \
/opt/homebrew/bin/wine /usr/local/bin/wine; do
[[ -x "$brew_wine" ]] && candidates+=("$brew_wine")
done
fi
# Linux / fallback
for sys_wine in wine64 wine; do
local found
found="$(command -v "$sys_wine" 2>/dev/null || true)"
[[ -n "$found" && -x "$found" ]] && candidates+=("$found")
done
# Deduplicate
local seen=()
local c
for c in "${candidates[@]}"; do
local dup=false
local s
for s in "${seen[@]:-}"; do [[ "$s" == "$c" ]] && dup=true && break; done
$dup || seen+=("$c")
done
printf '%s\n' "${seen[@]:-}"
}
# ── MT5 prefix scanner ────────────────────────────────────────────────────────
_scan_mt5_prefixes() {
# Returns list of terminal_dir paths (each containing terminal64.exe)
local results=()
local os
os="$(uname -s)"
if [[ "$os" == "Darwin" ]]; then
local search_roots=(
# Native MT5.app sandboxed prefix
"$HOME/Library/Application Support"
# CrossOver old
"$HOME/.cxoffice"
# CrossOver 24+
"$HOME/Library/Application Support/MetaQuotes"
)
local root
for root in "${search_roots[@]}"; do
[[ -d "$root" ]] || continue
while IFS= read -r -d '' terminal_exe; do
results+=("$(dirname "$terminal_exe")")
done < <(find "$root" -maxdepth 8 -name "terminal64.exe" -print0 2>/dev/null)
done
fi
# Linux Wine prefixes
local linux_roots=(
"$HOME/.wine"
"$HOME/.wine64"
)
local root
for root in "${linux_roots[@]}"; do
[[ -d "$root" ]] || continue
local mt5_dir="${root}/drive_c/Program Files/MetaTrader 5"
[[ -f "${mt5_dir}/terminal64.exe" ]] && results+=("$mt5_dir")
done
# Deduplicate
local seen=()
local c
for c in "${results[@]:-}"; do
local dup=false
local s
for s in "${seen[@]:-}"; do [[ "$s" == "$c" ]] && dup=true && break; done
$dup || seen+=("$c")
done
printf '%s\n' "${seen[@]:-}"
}
# Score an MT5 dir by activity: count .ex5 + .set files (higher = more active)
_score_mt5_dir() {
local dir="$1"
local count=0
count=$(find "$dir" -name "*.ex5" -o -name "*.set" 2>/dev/null | wc -l | tr -d ' ')
echo "$count"
}
# Pick the most active MT5 dir from a list
_best_mt5_dir() {
local best="" best_score=-1
local d
while IFS= read -r d; do
[[ -z "$d" ]] && continue
local score
score=$(_score_mt5_dir "$d")
if (( score > best_score )); then
best="$d"
best_score=$score
fi
done
echo "$best"
}
# ── MT5 auto-installer ───────────────────────────────────────────────────────
#
# MetaTrader 5 provides official installers for both platforms:
# macOS — DMG from MetaQuotes CDN (includes bundled Wine, no CrossOver needed)
# Linux — Official bash installer from MetaQuotes (handles Wine + MT5 prefix)
#
# After install, MT5 must be launched once to unpack terminal64.exe into the
# Wine prefix. _install_mt5() handles this automatically on Linux (headless via
# Xvfb). On macOS the user must launch the app once manually (GUI required).
MT5_DMG_URL="https://download.mql5.com/cdn/web/metaquotes.software.corp/mt5/MetaTrader5.dmg"
MT5_LINUX_URL="https://download.mql5.com/cdn/web/metaquotes.software.corp/mt5/mt5ubuntu.sh"
MT5_EXE_URL="https://download.mql5.com/cdn/web/metaquotes.software.corp/mt5/mt5setup.exe"
_install_mt5() {
local os
os="$(uname -s)"
if [[ "$os" == "Darwin" ]]; then
_install_mt5_macos
else
_install_mt5_linux
fi
}
_install_mt5_macos() {
echo ""
_bold "Installing MetaTrader 5 for macOS..."
if [[ -d "/Applications/MetaTrader 5.app" ]]; then
_ok "MetaTrader 5.app already present in /Applications"
return 0
fi
# Prefer mas (Mac App Store CLI) — avoids Gatekeeper issues
if command -v mas &>/dev/null; then
_ok "Using mas (Mac App Store CLI)..."
# MT5 App Store ID: 413698442
mas install 413698442 && {
_ok "Installed via Mac App Store"
return 0
} || _warn "mas install failed — falling back to direct download"
fi
# Direct download from MetaQuotes CDN
local dmg="/tmp/MetaTrader5.dmg"
_ok "Downloading MetaTrader5.dmg from MetaQuotes CDN..."
if ! curl -L --progress-bar --connect-timeout 30 "$MT5_DMG_URL" -o "$dmg"; then
_fail "Download failed. Check your internet connection."
echo ""
echo " Manual install: open https://www.metatrader5.com/en/terminal/help/start_advanced/install_mac"
return 1
fi
_ok "Mounting DMG..."
local mnt="/tmp/mt5_mount"
if ! hdiutil attach "$dmg" -mountpoint "$mnt" -quiet -nobrowse; then
_fail "Could not mount DMG: $dmg"
return 1
fi
_ok "Copying MetaTrader 5.app to /Applications..."
cp -R "${mnt}/MetaTrader 5.app" /Applications/ 2>/dev/null || {
_fail "Copy failed — try: sudo cp -R \"${mnt}/MetaTrader 5.app\" /Applications/"
hdiutil detach "$mnt" -quiet 2>/dev/null
return 1
}
hdiutil detach "$mnt" -quiet 2>/dev/null
rm -f "$dmg"
_ok "MetaTrader 5.app installed to /Applications"
echo ""
_yellow "ACTION REQUIRED: Launch MetaTrader 5.app once to complete initialization."
echo " It will create the Wine prefix and download terminal64.exe."
echo " After it loads (shows the login screen), you can close it."
echo ""
if ! $AUTO_YES; then
_ask "Press Enter when MT5 has been launched and closed..." ""
fi
}
_install_mt5_linux() {
echo ""
_bold "Installing MetaTrader 5 for Linux..."
# Check for existing Wine terminal64.exe anywhere
local existing
existing=$(find "$HOME/.wine" "$HOME/.wine64" \
"$HOME/Library/Application Support" 2>/dev/null \
-name "terminal64.exe" -print -quit 2>/dev/null || true)
if [[ -n "$existing" ]]; then
_ok "terminal64.exe already found at: $existing"
return 0
fi
# MetaQuotes provides an official Ubuntu installer that handles Wine + MT5
local has_wget has_curl
has_wget=$(command -v wget &>/dev/null && echo yes || echo no)
has_curl=$(command -v curl &>/dev/null && echo yes || echo no)
local script="/tmp/mt5ubuntu.sh"
_ok "Downloading MetaQuotes Linux installer..."
if [[ "$has_wget" == "yes" ]]; then
wget -q --show-progress "$MT5_LINUX_URL" -O "$script" || {
_fail "Download failed. Check: $MT5_LINUX_URL"
return 1
}
elif [[ "$has_curl" == "yes" ]]; then
curl -L --progress-bar "$MT5_LINUX_URL" -o "$script" || {
_fail "Download failed. Check: $MT5_LINUX_URL"
return 1
}
else
_fail "Neither wget nor curl found. Install one and retry."
return 1
fi
chmod +x "$script"
_ok "Running MetaQuotes Linux installer (may prompt for sudo)..."
bash "$script" || {
_fail "Installer failed. Check output above."
rm -f "$script"
return 1
}
rm -f "$script"
# The MetaQuotes installer creates the Wine prefix and launches MT5 briefly.
# On headless systems, we use Xvfb to allow MT5 to initialize.
if [[ -z "${DISPLAY:-}" ]]; then
_ok "Headless system — running MT5 init via Xvfb..."
if ! command -v Xvfb &>/dev/null; then
_warn "Xvfb not found. Install with: sudo apt install xvfb"
_warn "Then launch MT5 manually: DISPLAY=:99 metatrader5"
return 0
fi
Xvfb :99 -screen 0 1024x768x16 &>/dev/null &
local xvfb_pid=$!
sleep 2
DISPLAY=:99 metatrader5 &>/dev/null &
local mt5_pid=$!
_ok "MT5 initializing (30s)..."
sleep 30
kill "$mt5_pid" 2>/dev/null || true
kill "$xvfb_pid" 2>/dev/null || true
else
_ok "Launching MT5 to initialize Wine prefix (closes in 20s)..."
metatrader5 &>/dev/null &
local mt5_pid=$!
sleep 20
kill "$mt5_pid" 2>/dev/null || true
fi
_ok "MT5 initialization complete"
}
# ── Display mode detection ────────────────────────────────────────────────────
_detect_display_mode() {
if [[ "$(uname -s)" == "Darwin" ]]; then
echo "auto" # macOS always GUI
elif [[ -n "${DISPLAY:-}" ]]; then
echo "auto" # Linux with display
else
echo "auto" # headless Linux — auto will pick Xvfb
fi
}
# ── YAML writer ───────────────────────────────────────────────────────────────
_write_yaml() {
local wine="$1"
local terminal_dir="$2"
local display_mode="$3"
local keep_last="${4:-20}"
# Quote paths that contain spaces for YAML (wrap in double quotes)
local wine_q="\"${wine}\""
local terminal_dir_q="\"${terminal_dir}\""
local experts_q="\"${terminal_dir}/MQL5/Experts\""
local tester_q="\"${terminal_dir}/MQL5/Profiles/Tester\""
local cache_q="\"${terminal_dir}/Tester\""
cat > "$CONFIG_OUT" <<YAML
# mt5-quant configuration — generated by scripts/setup.sh
# Re-run scripts/setup.sh to regenerate, or edit manually.
mt5:
# Path to Wine / CrossOver wine64 binary
wine_executable: ${wine_q}
# MT5 installation directory (inside the Wine prefix)
terminal_dir: ${terminal_dir_q}
# Where MT5 looks for Expert Advisor binaries (.ex5)
experts_dir: ${experts_q}
# Where MT5 reads/writes .set files during backtests
tester_profiles_dir: ${tester_q}
# MT5 tester cache directory (cleared before each run)
tester_cache_dir: ${cache_q}
display:
# headless: true → Xvfb (Linux only)
# headless: false → GUI visible
# headless: auto → macOS=GUI, Linux with \$DISPLAY=GUI, Linux without=Xvfb
mode: ${display_mode}
# Virtual display for Xvfb (Linux headless only)
xvfb_display: ":99"
xvfb_screen: "1024x768x16"
backtest:
symbol: "XAUUSD"
deposit: 10000
currency: "USD"
leverage: 500
model: 0 # 0=every tick (required for martingale/grid EAs)
timeframe: "M5"
timeout: 900 # seconds per backtest run
optimization:
log_dir: "/tmp"
min_agents: 1
reports:
output_dir: "./reports"
keep_last: ${keep_last}
YAML
}
# ── Validation ────────────────────────────────────────────────────────────────
_validate() {
local wine="$1"
local terminal_dir="$2"
local ok=true
echo ""
_bold "Validating paths..."
if [[ -x "$wine" ]]; then
_ok "wine_executable: $wine"
else
_fail "wine_executable not found or not executable: $wine"
ok=false
fi
if [[ -d "$terminal_dir" ]]; then
_ok "terminal_dir: $terminal_dir"
else
_fail "terminal_dir not found: $terminal_dir"
ok=false
fi
local terminal_exe="${terminal_dir}/terminal64.exe"
if [[ -f "$terminal_exe" ]]; then
_ok "terminal64.exe found"
else
_warn "terminal64.exe not found (expected at ${terminal_exe})"
fi
local experts_dir="${terminal_dir}/MQL5/Experts"
if [[ -d "$experts_dir" ]]; then
local ea_count
ea_count=$(find "$experts_dir" -name "*.ex5" 2>/dev/null | wc -l | tr -d ' ')
_ok "experts_dir: ${ea_count} .ex5 file(s) found"
else
_warn "experts_dir not found yet (will be created by MT5 on first run)"
fi
local tester_dir="${terminal_dir}/MQL5/Profiles/Tester"
if [[ -d "$tester_dir" ]]; then
local set_count
set_count=$(find "$tester_dir" -name "*.set" 2>/dev/null | wc -l | tr -d ' ')
_ok "tester_profiles_dir: ${set_count} .set file(s) found"
else
_warn "tester_profiles_dir not found yet (will be created by MT5 on first run)"
fi
$ok
}
# ── Claude Code generation ────────────────────────────────────────────────────
#
# Writes two files to help users integrate Claude Code with their backtesting workflow:
#
# config/CLAUDE.template.md — copy to your EA project root as CLAUDE.md
# .claude/hooks/user-prompt-submit.sh — injects production baseline into every prompt
#
# The hook reads config/baseline.json (gitignored, user-maintained).
# baseline.json schema:
# {
# "symbol": "XAUUSD.cent",
# "period": "2024-01-01/2024-12-31",
# "net_profit": 1250.50,
# "profit_factor": 1.43,
# "max_drawdown_pct": 18.2,
# "sharpe_ratio": 0.87,
# "total_trades": 342,
# "notes": "Best config as of 2024-12-15"
# }
_generate_claude_code() {
echo ""
_bold "Generating Claude Code integration files..."
# ── CLAUDE.md template ────────────────────────────────────────────────────
local template_out="${REPO_DIR}/config/CLAUDE.template.md"
if [[ -f "$template_out" ]] && ! $AUTO_YES; then
local ans
ans=$(_ask "config/CLAUDE.template.md already exists. Overwrite?" "no")
if [[ ! "$ans" =~ ^[Yy] ]]; then
_warn "Skipping CLAUDE.md template"
else
_write_claude_template "$template_out"
fi
else
_write_claude_template "$template_out"
fi
# ── .claude/hooks/user-prompt-submit.sh ───────────────────────────────────
local hooks_dir="${REPO_DIR}/.claude/hooks"
mkdir -p "$hooks_dir"
local hook_out="${hooks_dir}/user-prompt-submit.sh"
if [[ -f "$hook_out" ]] && ! $AUTO_YES; then
local ans
ans=$(_ask ".claude/hooks/user-prompt-submit.sh already exists. Overwrite?" "no")
if [[ ! "$ans" =~ ^[Yy] ]]; then
_warn "Skipping hook generation"
return
fi
fi
_write_baseline_hook "$hook_out"
chmod +x "$hook_out"
_ok "Written: $hook_out"
echo ""
_green "Claude Code files ready."
echo ""
echo " Next steps:"
echo " 1. Copy config/CLAUDE.template.md to your EA project root as CLAUDE.md"
echo " 2. Create config/baseline.json with your production backtest metrics"
echo " (see comments in .claude/hooks/user-prompt-submit.sh for the schema)"
echo " 3. The hook auto-injects your baseline into every Claude prompt"
echo ""
}
_write_claude_template() {
local out="$1"
cat > "$out" <<'CLAUDE_MD'
# CLAUDE.md — [Your EA Project Name]
## MT5 MCP Integration
This project uses [mt5-quant](https://github.com/masdevid/mt5-quant) for backtesting and
optimization via Claude Code MCP tools.
Available MCP tools: `run_backtest`, `run_optimization`, `get_results`,
`list_reports`, `get_report`, `get_analysis`
## Baseline Tracking
Production baseline is in `config/baseline.json` (gitignored, user-maintained).
- Always compare new backtest results against the baseline before calling a result
an improvement. A result only counts as better if it beats the baseline on the
primary metric without significantly degrading secondary metrics.
- Update `baseline.json` only after confirming improvement in live/demo testing.
- Key metrics: `net_profit`, `profit_factor`, `max_drawdown_pct`, `sharpe_ratio`,
`total_trades`.
## Symbol Name Rules
- Always use the **exact** symbol name from the broker
(e.g., `"XAUUSD.cent"` not `"XAUUSD"` — they are different instruments).
- The symbol is set in `config/mt5-quant.yaml` under `backtest.symbol`.
- Never hardcode a symbol name in tool calls — read it from config.
## Backtest Rules
- Model 0 (every tick) is required for martingale/grid EAs.
- Never run two backtests in parallel — MT5 uses a single Wine prefix.
- After optimization, reset `OptMode` in `terminal.ini` before the next backtest.
## Optimization Rules
- Optimizations run in the background (`nohup+disown`) — never add a timeout.
- Use Model 0 only — Model 1 overfits martingale/grid strategies.
- `.set` files must be UTF-16LE; UTF-8 causes MT5 to strip `||Y` parameter flags.
CLAUDE_MD
_ok "Written: $out (copy to your EA project root as CLAUDE.md)"
}
_write_baseline_hook() {
local out="$1"
cat > "$out" <<'HOOK_SH'
#!/usr/bin/env bash
# .claude/hooks/user-prompt-submit.sh
# Injects the current production baseline into every Claude Code prompt.
#
# Reads: config/baseline.json (gitignored — create and maintain manually)
#
# baseline.json schema:
# {
# "symbol": "XAUUSD.cent",
# "period": "2024-01-01/2024-12-31",
# "net_profit": 1250.50,
# "profit_factor": 1.43,
# "max_drawdown_pct": 18.2,
# "sharpe_ratio": 0.87,
# "total_trades": 342,
# "notes": "Best config as of 2024-12-15"
# }
HOOK_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
REPO_DIR="$(cd "${HOOK_DIR}/../.." && pwd)"
BASELINE="${REPO_DIR}/config/baseline.json"
[[ -f "$BASELINE" ]] || exit 0
python3 - "$BASELINE" <<'PY'
import json, sys
path = sys.argv[1]
try:
with open(path) as f:
baseline = json.load(f)
except Exception as e:
sys.exit(0) # Malformed baseline — don't block the prompt
context = (
"## Production Baseline (config/baseline.json)\n"
"Compare all backtest results against these metrics. "
"A result is an improvement only if it beats the baseline on the primary "
"metric without significantly degrading secondary metrics.\n"
"```json\n"
+ json.dumps(baseline, indent=2)
+ "\n```"
)
print(json.dumps({"context": context}))
PY
HOOK_SH
}
# ── Main ──────────────────────────────────────────────────────────────────────
main() {
# --claude-code: skip the config wizard — only generate Claude Code integration files
if $CLAUDE_CODE; then
_generate_claude_code
exit 0
fi
echo ""
_bold "MT5-Quant setup — auto-detecting Wine and MT5 paths"
echo "────────────────────────────────────────────────────"
# ── Check if config already exists ───────────────────────────────────────
if [[ -f "$CONFIG_OUT" ]] && ! $AUTO_YES; then
_yellow "Config already exists: $CONFIG_OUT"
local ans
ans=$(_ask "Overwrite?" "no")
if [[ ! "$ans" =~ ^[Yy] ]]; then
echo "Aborted — existing config unchanged."
exit 0
fi
fi
# ── Detect Wine ───────────────────────────────────────────────────────────
echo ""
_bold "Scanning for Wine..."
local wine_candidates=()
while IFS= read -r line; do
[[ -n "$line" ]] && wine_candidates+=("$line")
done < <(_scan_wine_candidates)
local wine=""
if [[ ${#wine_candidates[@]} -eq 0 ]]; then
_fail "No Wine installation found."
local install_ans="yes"
if ! $AUTO_YES; then
install_ans=$(_ask "Download and install MetaTrader 5 automatically?" "yes")
fi
if [[ "$install_ans" =~ ^[Yy] ]]; then
_install_mt5 || { _red "Auto-install failed. Install MT5 manually and re-run setup.sh."; exit 1; }
# Re-scan after install
while IFS= read -r line; do
[[ -n "$line" ]] && wine_candidates+=("$line")
done < <(_scan_wine_candidates)
fi
if [[ ${#wine_candidates[@]} -eq 0 ]]; then
if ! $AUTO_YES; then
wine=$(_ask "Enter wine64 path manually (or press Enter to abort)")
fi
[[ -z "$wine" ]] && { _red "Cannot continue without Wine."; exit 1; }
fi
fi
if [[ -z "$wine" ]]; then
if [[ ${#wine_candidates[@]} -eq 1 ]]; then
wine="${wine_candidates[0]}"
_ok "Found: $wine"
else
_ok "Found ${#wine_candidates[@]} Wine installations"
if $AUTO_YES; then
wine="${wine_candidates[0]}"
_ok "Auto-selected: $wine"
else
wine=$(_pick "Select Wine executable:" "${wine_candidates[@]}")
fi
fi
fi
# ── Detect MT5 ────────────────────────────────────────────────────────────
echo ""
_bold "Scanning for MetaTrader 5 installations..."
local mt5_candidates=()
while IFS= read -r line; do
[[ -n "$line" ]] && mt5_candidates+=("$line")
done < <(_scan_mt5_prefixes)
local terminal_dir=""
if [[ ${#mt5_candidates[@]} -eq 0 ]]; then
_fail "No MetaTrader 5 installation found."
# Wine was found but MT5 prefix doesn't exist yet — offer to run installer
local install_ans2="yes"
if ! $AUTO_YES; then
install_ans2=$(_ask "Install MetaTrader 5 and initialize Wine prefix?" "yes")
fi
if [[ "$install_ans2" =~ ^[Yy] ]]; then
_install_mt5 || true
# Re-scan
while IFS= read -r line; do
[[ -n "$line" ]] && mt5_candidates+=("$line")
done < <(_scan_mt5_prefixes)
fi
if [[ ${#mt5_candidates[@]} -eq 0 ]]; then
if ! $AUTO_YES; then
terminal_dir=$(_ask "Enter terminal_dir path manually (or press Enter to abort)")
fi
[[ -z "$terminal_dir" ]] && { _red "Cannot continue without terminal_dir."; exit 1; }
fi
fi
if [[ -z "$terminal_dir" ]]; then
if [[ ${#mt5_candidates[@]} -eq 1 ]]; then
terminal_dir="${mt5_candidates[0]}"
_ok "Found: $terminal_dir"
else
_ok "Found ${#mt5_candidates[@]} MT5 installations"
# Auto-pick: highest activity score
local best
best=$(printf '%s\n' "${mt5_candidates[@]}" | _best_mt5_dir)
if $AUTO_YES; then
terminal_dir="$best"
_ok "Auto-selected (most active): $terminal_dir"
else
# Show scores for each candidate
echo ""
local i
for i in "${!mt5_candidates[@]}"; do
local d="${mt5_candidates[$i]}"
local score
score=$(_score_mt5_dir "$d")
printf ' [%d] %s (%d files)\n' "$((i+1))" "$d" "$score" >&2
[[ "$d" == "$best" ]] && printf ' ^ most active\n' >&2
done
terminal_dir=$(_pick "Select MT5 installation:" "${mt5_candidates[@]}")
fi
fi
fi
# ── Display mode ──────────────────────────────────────────────────────────
local display_mode
display_mode=$(_detect_display_mode)
# ── Validate ──────────────────────────────────────────────────────────────
if ! _validate "$wine" "$terminal_dir"; then
_red "Validation failed. Config NOT written."
if ! $AUTO_YES; then
local ans
ans=$(_ask "Write config anyway?" "no")
[[ ! "$ans" =~ ^[Yy] ]] && exit 1
else
exit 1
fi
fi
# ── Write YAML ────────────────────────────────────────────────────────────
echo ""
_bold "Writing config..."
_write_yaml "$wine" "$terminal_dir" "$display_mode" "$KEEP_LAST"
_ok "Written: $CONFIG_OUT"
echo " Tip: see config/example.set for optimization .set file format"
# ── Register with Claude Code ──────────────────────────────────────────────
_offer_mcp_register
echo ""
_green "Setup complete!"
echo ""
}
# ── MCP registration ──────────────────────────────────────────────────────────
_offer_mcp_register() {
echo ""
_bold "Registering with Claude Code..."
if ! command -v claude &>/dev/null; then
_warn "claude CLI not found — register manually:"
echo ""
echo " claude mcp add mt5-quant -- python3 \"${REPO_DIR}/server/main.py\""
echo ""
return
fi
local register=true
if ! $AUTO_YES; then
local ans
ans=$(_ask "Register mt5-quant with Claude Code now?" "yes")
[[ ! "$ans" =~ ^[Yy] ]] && register=false
fi
if $register; then
local out
out=$(claude mcp add mt5-quant -- python3 "${REPO_DIR}/server/main.py" 2>&1) || true
if echo "$out" | grep -qi "already\|exists"; then
_ok "Already registered (no change needed)"
elif echo "$out" | grep -qi "error\|failed"; then
_warn "Registration failed: $out"
echo " Run manually: claude mcp add mt5-quant -- python3 \"${REPO_DIR}/server/main.py\""
else
_ok "Registered: claude mcp add mt5-quant"
fi
else
echo " Skipped. Run manually:"
echo " claude mcp add mt5-quant -- python3 \"${REPO_DIR}/server/main.py\""
fi
}
main
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time,type,direction,volume,price,sl,tp,profit,balance,comment,order,magic,entry
2025.01.10 09:00:00,buy,in,0.01,1900.00,1880.00,1920.00,0.0,10000.0,Layer #1,1001,12345,in
2025.01.10 09:30:00,buy,out,0.01,1915.00,0.0,0.0,15.00,10015.0,Layer #1,1001,12345,out
2025.01.15 10:00:00,sell,in,0.01,1910.00,1930.00,1890.00,0.0,10015.0,Layer #1,1002,12345,in
2025.01.15 10:45:00,sell,out,0.01,1920.00,0.0,0.0,-10.00,10005.0,Layer #1,1002,12345,out
2025.01.20 14:00:00,buy,in,0.02,1905.00,1880.00,1935.00,0.0,10005.0,Layer #2,1003,12345,in
2025.01.21 09:00:00,buy,in,0.04,1895.00,1870.00,1925.00,0.0,10005.0,Layer #3,1004,12345,in
2025.01.21 15:30:00,buy,out,0.06,1925.00,0.0,0.0,30.00,10035.0,Layer #3,1003,12345,out
2025.02.05 10:00:00,sell,in,0.01,1930.00,1950.00,1910.00,0.0,10035.0,Layer #1,1005,12345,in
2025.02.05 14:00:00,sell,out,0.01,1945.00,0.0,0.0,-15.00,10020.0,Layer #1,1005,12345,out
2025.02.12 11:00:00,buy,in,0.01,1920.00,1900.00,1940.00,0.0,10020.0,Layer #1,1006,12345,in
2025.02.12 16:00:00,buy,out,0.01,1938.00,0.0,0.0,18.00,10038.0,Layer #1,1006,12345,out
2025.01.06 02:30:00,buy,in,0.01,1885.00,1865.00,1905.00,0.0,10038.0,Layer #1,2001,23456,in
2025.01.06 03:15:00,buy,out,0.01,1898.00,0.0,0.0,12.00,10050.0,Layer #1 TP,2001,23456,out
2025.01.07 20:00:00,sell,in,0.01,1910.00,1930.00,1890.00,0.0,10050.0,Layer #1,2002,23456,in
2025.01.07 21:30:00,sell,out,0.01,1918.00,0.0,0.0,-8.00,10042.0,Layer #1 cutloss,2002,23456,out
2025.01.08 09:30:00,buy,in,0.01,1892.00,1872.00,1912.00,0.0,10042.0,Layer #1,2003,23456,in
2025.01.08 10:20:00,buy,out,0.01,1905.00,0.0,0.0,20.00,10062.0,Layer #1,2003,23456,out
2025.01.13 08:00:00,sell,in,0.01,1925.00,1945.00,1905.00,0.0,10062.0,Layer #1,2004,23456,in
2025.01.13 08:01:00,sell,in,0.02,1928.00,1948.00,1908.00,0.0,10062.0,Layer #2,2005,23456,in
2025.01.13 08:02:00,sell,in,0.04,1931.00,1951.00,1911.00,0.0,10062.0,Layer #3,2006,23456,in
2025.01.13 09:30:00,sell,out,0.07,1905.00,0.0,0.0,-45.00,10017.0,Layer #3 cutloss,2004,23456,out
2025.01.16 15:00:00,buy,in,0.01,1900.00,1880.00,1920.00,0.0,10017.0,Layer #1,2007,23456,in
2025.01.16 17:30:00,buy,out,0.01,1915.00,0.0,0.0,22.00,10039.0,Layer #1,2007,23456,out
1 time type direction volume price sl tp profit balance comment order magic entry
2 2025.01.10 09:00:00 buy in 0.01 1900.00 1880.00 1920.00 0.0 10000.0 Layer #1 1001 12345 in
3 2025.01.10 09:30:00 buy out 0.01 1915.00 0.0 0.0 15.00 10015.0 Layer #1 1001 12345 out
4 2025.01.15 10:00:00 sell in 0.01 1910.00 1930.00 1890.00 0.0 10015.0 Layer #1 1002 12345 in
5 2025.01.15 10:45:00 sell out 0.01 1920.00 0.0 0.0 -10.00 10005.0 Layer #1 1002 12345 out
6 2025.01.20 14:00:00 buy in 0.02 1905.00 1880.00 1935.00 0.0 10005.0 Layer #2 1003 12345 in
7 2025.01.21 09:00:00 buy in 0.04 1895.00 1870.00 1925.00 0.0 10005.0 Layer #3 1004 12345 in
8 2025.01.21 15:30:00 buy out 0.06 1925.00 0.0 0.0 30.00 10035.0 Layer #3 1003 12345 out
9 2025.02.05 10:00:00 sell in 0.01 1930.00 1950.00 1910.00 0.0 10035.0 Layer #1 1005 12345 in
10 2025.02.05 14:00:00 sell out 0.01 1945.00 0.0 0.0 -15.00 10020.0 Layer #1 1005 12345 out
11 2025.02.12 11:00:00 buy in 0.01 1920.00 1900.00 1940.00 0.0 10020.0 Layer #1 1006 12345 in
12 2025.02.12 16:00:00 buy out 0.01 1938.00 0.0 0.0 18.00 10038.0 Layer #1 1006 12345 out
13 2025.01.06 02:30:00 buy in 0.01 1885.00 1865.00 1905.00 0.0 10038.0 Layer #1 2001 23456 in
14 2025.01.06 03:15:00 buy out 0.01 1898.00 0.0 0.0 12.00 10050.0 Layer #1 TP 2001 23456 out
15 2025.01.07 20:00:00 sell in 0.01 1910.00 1930.00 1890.00 0.0 10050.0 Layer #1 2002 23456 in
16 2025.01.07 21:30:00 sell out 0.01 1918.00 0.0 0.0 -8.00 10042.0 Layer #1 cutloss 2002 23456 out
17 2025.01.08 09:30:00 buy in 0.01 1892.00 1872.00 1912.00 0.0 10042.0 Layer #1 2003 23456 in
18 2025.01.08 10:20:00 buy out 0.01 1905.00 0.0 0.0 20.00 10062.0 Layer #1 2003 23456 out
19 2025.01.13 08:00:00 sell in 0.01 1925.00 1945.00 1905.00 0.0 10062.0 Layer #1 2004 23456 in
20 2025.01.13 08:01:00 sell in 0.02 1928.00 1948.00 1908.00 0.0 10062.0 Layer #2 2005 23456 in
21 2025.01.13 08:02:00 sell in 0.04 1931.00 1951.00 1911.00 0.0 10062.0 Layer #3 2006 23456 in
22 2025.01.13 09:30:00 sell out 0.07 1905.00 0.0 0.0 -45.00 10017.0 Layer #3 cutloss 2004 23456 out
23 2025.01.16 15:00:00 buy in 0.01 1900.00 1880.00 1920.00 0.0 10017.0 Layer #1 2007 23456 in
24 2025.01.16 17:30:00 buy out 0.01 1915.00 0.0 0.0 22.00 10039.0 Layer #1 2007 23456 out
+25
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<html>
<head><title>Strategy Tester Report</title></head>
<body>
<table>
<tr><td>Net profit</td><td>1234.56</td></tr>
<tr><td>Profit factor</td><td>1.25</td></tr>
<tr><td>Maximal drawdown</td><td>500.00 (5.00%)</td></tr>
<tr><td>Sharpe Ratio</td><td>0.75</td></tr>
<tr><td>Total trades</td><td>150</td></tr>
<tr><td>Recovery factor</td><td>2.50</td></tr>
<tr><td>Profit trades (% of total)</td><td>90 (60.00%)</td></tr>
<tr><td>Gross profit</td><td>2000.00</td></tr>
<tr><td>Gross loss</td><td>-765.44</td></tr>
</table>
<table>
<tr><td>Deal Time</td><td>Type</td><td>Direction</td><td>Volume</td><td>Price</td><td>S/L</td><td>T/P</td><td>Profit</td><td>Balance</td><td>Comment</td><td>Order</td><td>Magic</td><td>Entry</td></tr>
<tr><td>2025.01.10 09:30:00</td><td>buy</td><td>out</td><td>0.01</td><td>1915.00</td><td>0</td><td>0</td><td>15.00</td><td>10015.00</td><td>Layer #1</td><td>1001</td><td>12345</td><td>out</td></tr>
<tr><td>2025.01.15 10:45:00</td><td>sell</td><td>out</td><td>0.01</td><td>1920.00</td><td>0</td><td>0</td><td>-10.00</td><td>10005.00</td><td>Layer #1</td><td>1002</td><td>12345</td><td>out</td></tr>
<tr><td>2025.01.21 15:30:00</td><td>buy</td><td>out</td><td>0.06</td><td>1925.00</td><td>0</td><td>0</td><td>30.00</td><td>10035.00</td><td>Layer #3</td><td>1003</td><td>12345</td><td>out</td></tr>
<tr><td>2025.02.05 14:00:00</td><td>sell</td><td>out</td><td>0.01</td><td>1945.00</td><td>0</td><td>0</td><td>-15.00</td><td>10020.00</td><td>Layer #1</td><td>1005</td><td>12345</td><td>out</td></tr>
<tr><td>2025.02.12 16:00:00</td><td>buy</td><td>out</td><td>0.01</td><td>1938.00</td><td>0</td><td>0</td><td>18.00</td><td>10038.00</td><td>Layer #1</td><td>1006</td><td>12345</td><td>out</td></tr>
</table>
</body>
</html>
+88
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<?xml version="1.0" encoding="UTF-8"?>
<Workbook xmlns="urn:schemas-microsoft-com:office:spreadsheet"
xmlns:ss="urn:schemas-microsoft-com:office:spreadsheet">
<Worksheet ss:Name="Report">
<Table>
<Row>
<Cell><Data ss:Type="String">Net profit</Data></Cell>
<Cell><Data ss:Type="Number">1234.56</Data></Cell>
</Row>
<Row>
<Cell><Data ss:Type="String">Profit factor</Data></Cell>
<Cell><Data ss:Type="Number">1.25</Data></Cell>
</Row>
<Row>
<Cell><Data ss:Type="String">Sharpe Ratio</Data></Cell>
<Cell><Data ss:Type="Number">0.75</Data></Cell>
</Row>
<Row>
<Cell><Data ss:Type="String">Total trades</Data></Cell>
<Cell><Data ss:Type="Number">150</Data></Cell>
</Row>
</Table>
</Worksheet>
<Worksheet ss:Name="Deals">
<Table>
<Row>
<Cell><Data ss:Type="String">time</Data></Cell>
<Cell><Data ss:Type="String">type</Data></Cell>
<Cell><Data ss:Type="String">direction</Data></Cell>
<Cell><Data ss:Type="String">volume</Data></Cell>
<Cell><Data ss:Type="String">price</Data></Cell>
<Cell><Data ss:Type="String">sl</Data></Cell>
<Cell><Data ss:Type="String">tp</Data></Cell>
<Cell><Data ss:Type="String">profit</Data></Cell>
<Cell><Data ss:Type="String">balance</Data></Cell>
<Cell><Data ss:Type="String">comment</Data></Cell>
<Cell><Data ss:Type="String">order</Data></Cell>
<Cell><Data ss:Type="String">magic</Data></Cell>
<Cell><Data ss:Type="String">entry</Data></Cell>
</Row>
<Row>
<Cell><Data ss:Type="String">2025.01.10 09:30:00</Data></Cell>
<Cell><Data ss:Type="String">buy</Data></Cell>
<Cell><Data ss:Type="String">out</Data></Cell>
<Cell><Data ss:Type="Number">0.01</Data></Cell>
<Cell><Data ss:Type="Number">1915.00</Data></Cell>
<Cell><Data ss:Type="Number">0</Data></Cell>
<Cell><Data ss:Type="Number">0</Data></Cell>
<Cell><Data ss:Type="Number">15.00</Data></Cell>
<Cell><Data ss:Type="Number">10015.00</Data></Cell>
<Cell><Data ss:Type="String">Layer #1</Data></Cell>
<Cell><Data ss:Type="Number">1001</Data></Cell>
<Cell><Data ss:Type="Number">12345</Data></Cell>
<Cell><Data ss:Type="String">out</Data></Cell>
</Row>
<Row>
<Cell><Data ss:Type="String">2025.01.15 10:45:00</Data></Cell>
<Cell><Data ss:Type="String">sell</Data></Cell>
<Cell><Data ss:Type="String">out</Data></Cell>
<Cell><Data ss:Type="Number">0.01</Data></Cell>
<Cell><Data ss:Type="Number">1920.00</Data></Cell>
<Cell><Data ss:Type="Number">0</Data></Cell>
<Cell><Data ss:Type="Number">0</Data></Cell>
<Cell><Data ss:Type="Number">-10.00</Data></Cell>
<Cell><Data ss:Type="Number">10005.00</Data></Cell>
<Cell><Data ss:Type="String">Layer #1</Data></Cell>
<Cell><Data ss:Type="Number">1002</Data></Cell>
<Cell><Data ss:Type="Number">12345</Data></Cell>
<Cell><Data ss:Type="String">out</Data></Cell>
</Row>
<Row>
<Cell><Data ss:Type="String">2025.02.05 14:00:00</Data></Cell>
<Cell><Data ss:Type="String">sell</Data></Cell>
<Cell><Data ss:Type="String">out</Data></Cell>
<Cell><Data ss:Type="Number">0.01</Data></Cell>
<Cell><Data ss:Type="Number">1945.00</Data></Cell>
<Cell><Data ss:Type="Number">0</Data></Cell>
<Cell><Data ss:Type="Number">0</Data></Cell>
<Cell><Data ss:Type="Number">-15.00</Data></Cell>
<Cell><Data ss:Type="Number">10020.00</Data></Cell>
<Cell><Data ss:Type="String">Layer #1</Data></Cell>
<Cell><Data ss:Type="Number">1005</Data></Cell>
<Cell><Data ss:Type="Number">12345</Data></Cell>
<Cell><Data ss:Type="String">out</Data></Cell>
</Row>
</Table>
</Worksheet>
</Workbook>
+673
View File
@@ -0,0 +1,673 @@
"""Tests for analytics/analyze.py — runs without MT5 or Wine."""
import sys
from pathlib import Path
import pytest
FIXTURES = Path(__file__).parent / 'fixtures'
sys.path.insert(0, str(Path(__file__).parent.parent))
from analytics.analyze import (
PROFILES,
load_deals, monthly_pnl, reconstruct_dd_events,
grid_depth_histogram, depth_histogram, top_losses, loss_sequences, build_summary,
position_pairs, cycle_stats, exit_reason_breakdown,
direction_bias, streak_analysis, session_breakdown,
weekday_pnl, hourly_pnl, concurrent_peak, volume_profile,
_parse_dt, _classify_exit, _extract_depth, _classify_dd_cause,
_lot_tier, _session_for_hour,
)
@pytest.fixture
def deals():
return load_deals(str(FIXTURES / 'sample_deals.csv'))
def test_load_deals_count(deals):
assert len(deals) > 0
def test_load_deals_numeric_fields(deals):
for deal in deals:
assert isinstance(deal['profit'], float)
assert isinstance(deal['balance'], float)
assert isinstance(deal['volume'], float)
def test_monthly_pnl_groups_correctly(deals):
result = monthly_pnl(deals)
assert isinstance(result, list)
assert len(result) >= 1
for entry in result:
assert 'month' in entry
assert 'pnl' in entry
assert 'trades' in entry
assert 'green' in entry
assert isinstance(entry['green'], bool)
def test_monthly_pnl_only_out_entries(deals):
"""Only 'out' entries should be counted."""
result = monthly_pnl(deals)
# All trades in fixture are closed, so at least one month should have trades
total_trades = sum(m['trades'] for m in result)
assert total_trades > 0
def test_monthly_pnl_has_jan_and_feb(deals):
result = monthly_pnl(deals)
months = [m['month'] for m in result]
assert '2025-01' in months
assert '2025-02' in months
def test_reconstruct_dd_events_returns_list(deals):
metrics = {'net_profit': 38.0, 'max_dd_pct': 1.5}
result = reconstruct_dd_events(deals, metrics)
assert isinstance(result, list)
def test_reconstruct_dd_events_empty_on_no_deals():
result = reconstruct_dd_events([], {})
assert result == []
def test_grid_depth_histogram_keys(deals):
hist = grid_depth_histogram(deals)
assert isinstance(hist, dict)
assert 'L1' in hist
assert 'L2' in hist
assert 'L3' in hist
assert 'L8+' in hist
def test_grid_depth_histogram_counts_layers(deals):
hist = grid_depth_histogram(deals)
# Fixture has Layer #1, #2, #3 comments
assert hist['L1'] > 0
assert hist['L3'] > 0
def test_top_losses_are_negative(deals):
losses = top_losses(deals)
assert isinstance(losses, list)
for loss in losses:
assert loss['loss_usd'] < 0
def test_top_losses_sorted_ascending(deals):
losses = top_losses(deals)
if len(losses) >= 2:
assert losses[0]['loss_usd'] <= losses[1]['loss_usd']
def test_loss_sequences_structure(deals):
seqs = loss_sequences(deals)
assert isinstance(seqs, list)
for seq in seqs:
assert 'length' in seq
assert 'total_loss' in seq
assert seq['total_loss'] < 0
def test_build_summary_keys(deals):
metrics = {'net_profit': 38.0, 'max_dd_pct': 1.5, 'total_trades': 11,
'profit_factor': 1.2, 'sharpe_ratio': 0.5, 'recovery_factor': 2.0}
monthly = monthly_pnl(deals)
dd = reconstruct_dd_events(deals, metrics)
summary = build_summary(metrics, monthly, dd)
expected_keys = ['net_profit', 'profit_factor', 'max_dd_pct', 'sharpe_ratio',
'total_trades', 'green_months', 'total_months',
'worst_month', 'worst_month_pnl']
for k in expected_keys:
assert k in summary, f"Missing key: {k}"
def test_build_summary_green_months(deals):
metrics = {'net_profit': 38.0, 'max_dd_pct': 1.5}
monthly = monthly_pnl(deals)
dd = reconstruct_dd_events(deals, metrics)
summary = build_summary(metrics, monthly, dd)
assert summary['green_months'] >= 0
assert summary['total_months'] >= summary['green_months']
# ── Utility helpers ────────────────────────────────────────────────────────────
def test_parse_dt_standard_format():
dt = _parse_dt('2025.01.10 09:30:00')
assert dt is not None
assert dt.year == 2025
assert dt.month == 1
assert dt.day == 10
assert dt.hour == 9
def test_parse_dt_iso_format():
dt = _parse_dt('2025-02-05 14:00:00')
assert dt is not None
assert dt.month == 2
def test_parse_dt_invalid_returns_none():
assert _parse_dt('') is None
assert _parse_dt('not-a-date') is None
def test_classify_exit_locking():
assert _classify_exit('locking hedge', -50.0) == 'locking'
def test_classify_exit_cutloss():
assert _classify_exit('cutloss fired', -20.0) == 'cutloss'
assert _classify_exit('cut loss', -20.0) == 'cutloss'
def test_classify_exit_tp_sl_by_profit():
assert _classify_exit('Layer #1', 15.0) == 'tp'
assert _classify_exit('Layer #1', -10.0) == 'sl'
def test_lot_tier():
assert _lot_tier(0.01) == '0.01'
assert _lot_tier(0.02) == '0.02-0.04'
assert _lot_tier(0.04) == '0.02-0.04'
assert _lot_tier(0.06) == '0.05-0.09'
assert _lot_tier(0.10) == '0.10-0.49'
assert _lot_tier(1.0) == '1.00+'
def test_session_for_hour():
assert _session_for_hour(3) == 'asian'
assert _session_for_hour(9) == 'london'
assert _session_for_hour(14) == 'london_ny_overlap'
assert _session_for_hour(18) == 'new_york'
assert _session_for_hour(23) == 'off_hours'
# ── Position pairs ─────────────────────────────────────────────────────────────
def test_position_pairs_count(deals):
pairs = position_pairs(deals)
assert isinstance(pairs, list)
assert len(pairs) > 0
def test_position_pairs_hold_minutes(deals):
pairs = position_pairs(deals)
for p in pairs:
if p['hold_minutes'] is not None:
assert p['hold_minutes'] > 0
def test_position_pairs_has_layer(deals):
pairs = position_pairs(deals)
layers = [p['layer'] for p in pairs if p['layer'] > 0]
assert len(layers) > 0
def test_position_pairs_profit_nonzero(deals):
pairs = position_pairs(deals)
for p in pairs:
assert p['profit'] != 0.0
# ── Cycle stats ────────────────────────────────────────────────────────────────
def test_cycle_stats_structure(deals):
result = cycle_stats(deals)
assert 'total_cycles' in result
assert 'win_rate' in result
assert 'avg_profit' in result
assert 'win_rate_by_depth' in result
def test_cycle_stats_total_cycles(deals):
result = cycle_stats(deals)
assert result['total_cycles'] > 0
def test_cycle_stats_win_rate_range(deals):
result = cycle_stats(deals)
assert 0.0 <= result['win_rate'] <= 100.0
def test_cycle_stats_empty():
result = cycle_stats([])
assert result['total_cycles'] == 0
# ── Exit reason breakdown ──────────────────────────────────────────────────────
def test_exit_reason_breakdown_structure(deals):
result = exit_reason_breakdown(deals)
assert isinstance(result, dict)
for reason, data in result.items():
assert 'count' in data
assert 'total_pnl' in data
assert 'avg_pnl' in data
assert data['count'] > 0
def test_exit_reason_breakdown_has_cutloss(deals):
result = exit_reason_breakdown(deals)
# fixture has 'cutloss' in comment for some deals
assert 'cutloss' in result
def test_exit_reason_breakdown_counts_match(deals):
result = exit_reason_breakdown(deals)
total_counted = sum(r['count'] for r in result.values())
closed_with_pnl = [d for d in deals
if 'out' in d.get('entry', '').lower() and d.get('profit', 0.0) != 0.0]
assert total_counted == len(closed_with_pnl)
# ── Direction bias ─────────────────────────────────────────────────────────────
def test_direction_bias_keys(deals):
result = direction_bias(deals)
assert isinstance(result, dict)
# fixture has both buy and sell
assert 'buy' in result
assert 'sell' in result
def test_direction_bias_win_rate_range(deals):
result = direction_bias(deals)
for d, s in result.items():
assert 0.0 <= s['win_rate'] <= 100.0
assert s['trades'] > 0
def test_direction_bias_buy_profitable(deals):
result = direction_bias(deals)
# fixture: buy deals net positive
assert result['buy']['total_pnl'] > 0
# ── Streak analysis ────────────────────────────────────────────────────────────
def test_streak_analysis_structure(deals):
result = streak_analysis(deals)
assert isinstance(result, dict)
for key in ('max_win_streak', 'max_loss_streak', 'current_streak', 'current_streak_type'):
assert key in result
def test_streak_analysis_nonnegative(deals):
result = streak_analysis(deals)
assert result['max_win_streak'] >= 0
assert result['max_loss_streak'] >= 0
assert result['current_streak'] >= 1
def test_streak_analysis_type_valid(deals):
result = streak_analysis(deals)
assert result['current_streak_type'] in ('win', 'loss')
def test_streak_analysis_empty():
assert streak_analysis([]) == {}
# ── Session breakdown ──────────────────────────────────────────────────────────
def test_session_breakdown_structure(deals):
result = session_breakdown(deals)
assert isinstance(result, dict)
for session, data in result.items():
assert 'trades' in data
assert 'win_rate' in data
assert 'total_pnl' in data
def test_session_breakdown_has_sessions(deals):
result = session_breakdown(deals)
# fixture has deals at 09:00, 10:00, 14:00, 15:00, 16:00 (London + London/NY)
# and 02:30, 03:15 (Asian), 20:00-21:30 (NY)
known_sessions = {'london', 'london_ny_overlap', 'asian', 'new_york'}
assert len(set(result.keys()) & known_sessions) >= 2
def test_session_breakdown_win_rate_range(deals):
result = session_breakdown(deals)
for session, data in result.items():
assert 0.0 <= data['win_rate'] <= 100.0
# ── Weekday P/L ────────────────────────────────────────────────────────────────
def test_weekday_pnl_structure(deals):
result = weekday_pnl(deals)
assert isinstance(result, list)
for entry in result:
assert 'day' in entry
assert 'pnl' in entry
assert 'trades' in entry
assert 'win_rate' in entry
def test_weekday_pnl_day_names(deals):
result = weekday_pnl(deals)
valid_days = {'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'}
for entry in result:
assert entry['day'] in valid_days
def test_weekday_pnl_has_results(deals):
result = weekday_pnl(deals)
assert len(result) >= 1
# ── Hourly P/L ─────────────────────────────────────────────────────────────────
def test_hourly_pnl_structure(deals):
result = hourly_pnl(deals)
assert isinstance(result, list)
for entry in result:
assert 'hour' in entry
assert 0 <= entry['hour'] <= 23
assert 'pnl' in entry
assert 'trades' in entry
def test_hourly_pnl_has_results(deals):
result = hourly_pnl(deals)
assert len(result) >= 1
# ── Concurrent peak ────────────────────────────────────────────────────────────
def test_concurrent_peak_structure(deals):
result = concurrent_peak(deals)
assert 'peak_open' in result
assert 'peak_time' in result
def test_concurrent_peak_at_least_one(deals):
result = concurrent_peak(deals)
assert result['peak_open'] >= 1
def test_concurrent_peak_multi_layer(deals):
# fixture has a cycle where L2 and L3 open before close → peak >= 2
result = concurrent_peak(deals)
assert result['peak_open'] >= 2
# ── Volume profile ─────────────────────────────────────────────────────────────
def test_volume_profile_structure(deals):
result = volume_profile(deals)
assert isinstance(result, list)
for entry in result:
assert 'lot_tier' in entry
assert 'pnl' in entry
assert 'trades' in entry
assert 'win_rate' in entry
def test_volume_profile_has_micro_lots(deals):
result = volume_profile(deals)
tiers = [e['lot_tier'] for e in result]
assert '0.01' in tiers
def test_volume_profile_win_rate_range(deals):
result = volume_profile(deals)
for entry in result:
assert 0.0 <= entry['win_rate'] <= 100.0
# ── build_summary with new stats ───────────────────────────────────────────────
def test_build_summary_with_streak(deals):
metrics = {'net_profit': 38.0, 'max_dd_pct': 1.5}
monthly = monthly_pnl(deals)
dd = reconstruct_dd_events(deals, metrics)
streak = streak_analysis(deals)
summary = build_summary(metrics, monthly, dd, streak=streak)
assert 'max_win_streak' in summary
assert 'max_loss_streak' in summary
assert 'current_streak_type' in summary
def test_build_summary_with_bias(deals):
metrics = {'net_profit': 38.0, 'max_dd_pct': 1.5}
monthly = monthly_pnl(deals)
dd = reconstruct_dd_events(deals, metrics)
bias = direction_bias(deals)
summary = build_summary(metrics, monthly, dd, bias=bias)
assert 'buy_win_rate' in summary or 'sell_win_rate' in summary
def test_build_summary_with_cycles(deals):
metrics = {'net_profit': 38.0, 'max_dd_pct': 1.5}
monthly = monthly_pnl(deals)
dd = reconstruct_dd_events(deals, metrics)
cycles = cycle_stats(deals)
summary = build_summary(metrics, monthly, dd, cycles=cycles)
assert 'cycle_win_rate' in summary
assert 'total_cycles' in summary
# ── Strategy profiles ──────────────────────────────────────────────────────────
def test_profiles_registry():
"""All expected strategy names are registered."""
for name in ('generic', 'grid', 'scalper', 'trend', 'hedge'):
assert name in PROFILES
p = PROFILES[name]
assert 'name' in p
assert 'exit_keywords' in p
assert 'dd_cause_keywords' in p
assert 'cycle_group_by' in p
assert 'cycle_gap_min' in p
def test_profiles_depth_re():
assert PROFILES['grid']['depth_re'] is not None
assert PROFILES['generic']['depth_re'] is None
assert PROFILES['scalper']['depth_re'] is None
assert PROFILES['trend']['depth_re'] is None
assert PROFILES['hedge']['depth_re'] is None
# ── _extract_depth ─────────────────────────────────────────────────────────────
def test_extract_depth_grid_pattern():
depth_re = PROFILES['grid']['depth_re']
assert _extract_depth('Layer #3', depth_re) == 3
assert _extract_depth('Layer #1', depth_re) == 1
assert _extract_depth('layer 7', depth_re) == 7
def test_extract_depth_no_pattern():
assert _extract_depth('Layer #3', None) == 0
assert _extract_depth('', None) == 0
def test_extract_depth_no_match():
assert _extract_depth('TP hit', PROFILES['grid']['depth_re']) == 0
# ── _classify_exit with profiles ──────────────────────────────────────────────
def test_classify_exit_grid_locking():
assert _classify_exit('locking hedge', -50.0, PROFILES['grid']) == 'locking'
def test_classify_exit_grid_cutloss():
assert _classify_exit('cutloss fired', -20.0, PROFILES['grid']) == 'cutloss'
def test_classify_exit_scalper_manual():
assert _classify_exit('manual close', -5.0, PROFILES['scalper']) == 'manual'
def test_classify_exit_scalper_trailing():
assert _classify_exit('trailing stop', 10.0, PROFILES['scalper']) == 'trailing'
def test_classify_exit_trend_breakeven():
assert _classify_exit('breakeven stop', 0.5, PROFILES['trend']) == 'breakeven'
def test_classify_exit_trend_partial():
assert _classify_exit('partial scale out', 15.0, PROFILES['trend']) == 'partial'
def test_classify_exit_hedge_net_close():
assert _classify_exit('net close', -30.0, PROFILES['hedge']) == 'net_close'
def test_classify_exit_generic_fallback():
"""Generic profile has no keywords — falls back to profit sign."""
assert _classify_exit('Layer #3 locking', -50.0, PROFILES['generic']) == 'sl'
assert _classify_exit('Layer #1', 15.0, PROFILES['generic']) == 'tp'
# ── _classify_dd_cause ────────────────────────────────────────────────────────
def test_classify_dd_cause_grid():
assert _classify_dd_cause('locking total', PROFILES['grid']) == 'locking_cascade'
assert _classify_dd_cause('cutloss fired', PROFILES['grid']) == 'cutloss'
assert _classify_dd_cause('zombie exit', PROFILES['grid']) == 'zombie_exit'
def test_classify_dd_cause_generic_unknown():
assert _classify_dd_cause('locking total', PROFILES['generic']) == 'unknown'
assert _classify_dd_cause('', PROFILES['generic']) == 'unknown'
def test_classify_dd_cause_scalper_stop():
assert _classify_dd_cause('sl hit', PROFILES['scalper']) == 'stop_loss'
def test_classify_dd_cause_trend_whipsaw():
assert _classify_dd_cause('stop loss', PROFILES['trend']) == 'whipsaw'
# ── depth_histogram with profiles ─────────────────────────────────────────────
def test_depth_histogram_grid_returns_layers(deals):
result = depth_histogram(deals, PROFILES['grid'])
assert isinstance(result, dict)
assert 'L1' in result
assert result['L1'] > 0
def test_depth_histogram_generic_returns_empty(deals):
"""Generic profile has no depth_re → empty dict."""
result = depth_histogram(deals, PROFILES['generic'])
assert result == {}
def test_depth_histogram_scalper_returns_empty(deals):
result = depth_histogram(deals, PROFILES['scalper'])
assert result == {}
def test_grid_depth_histogram_is_alias(deals):
"""grid_depth_histogram must equal depth_histogram with grid profile."""
assert grid_depth_histogram(deals) == depth_histogram(deals, PROFILES['grid'])
# ── cycle_stats with profiles ─────────────────────────────────────────────────
def test_cycle_stats_grid_profile(deals):
result = cycle_stats(deals, PROFILES['grid'])
assert result['total_cycles'] > 0
assert 0.0 <= result['win_rate'] <= 100.0
def test_cycle_stats_scalper_profile(deals):
"""Scalper uses magic-only grouping and 10-min gap."""
result = cycle_stats(deals, PROFILES['scalper'])
assert 'total_cycles' in result
assert result['total_cycles'] > 0
def test_cycle_stats_generic_profile(deals):
result = cycle_stats(deals, PROFILES['generic'])
assert 'total_cycles' in result
def test_cycle_stats_scalper_vs_grid_differ(deals):
"""Different grouping rules can produce different cycle counts."""
grid_result = cycle_stats(deals, PROFILES['grid'])
scalper_result = cycle_stats(deals, PROFILES['scalper'])
# Both must be valid; counts may differ due to grouping
assert grid_result['total_cycles'] >= 0
assert scalper_result['total_cycles'] >= 0
# ── exit_reason_breakdown with profiles ───────────────────────────────────────
def test_exit_reason_breakdown_grid(deals):
result = exit_reason_breakdown(deals, PROFILES['grid'])
assert 'cutloss' in result # fixture has "cutloss" in comments
def test_exit_reason_breakdown_generic_only_tp_sl(deals):
"""Generic profile has no keywords → only 'tp' and 'sl' keys."""
result = exit_reason_breakdown(deals, PROFILES['generic'])
for reason in result:
assert reason in ('tp', 'sl'), f"Unexpected reason '{reason}' from generic profile"
def test_exit_reason_breakdown_scalper_keywords(deals):
"""Scalper profile recognises 'cutloss' comment as 'manual' (not 'cutloss')."""
result = exit_reason_breakdown(deals, PROFILES['scalper'])
# 'cutloss' is not a scalper keyword → falls back to profit-sign → 'sl'
assert 'cutloss' not in result
def test_exit_reason_breakdown_counts_sum(deals):
"""Total count must equal number of non-zero closed deals, regardless of profile."""
closed = [d for d in deals
if 'out' in d.get('entry', '').lower() and d.get('profit', 0.0) != 0.0]
for profile in PROFILES.values():
result = exit_reason_breakdown(deals, profile)
assert sum(r['count'] for r in result.values()) == len(closed)
# ── reconstruct_dd_events with profiles ───────────────────────────────────────
def test_dd_events_cause_generic_unknown(deals):
"""Generic profile → all causes must be 'unknown'."""
metrics = {'net_profit': 38.0, 'max_dd_pct': 1.5}
events = reconstruct_dd_events(deals, metrics, PROFILES['generic'])
for ev in events:
assert ev['cause'] == 'unknown'
def test_dd_events_cause_grid_classified(deals):
"""Grid profile → cause is classified from comment keywords."""
metrics = {'net_profit': 38.0, 'max_dd_pct': 5.0}
events = reconstruct_dd_events(deals, metrics, PROFILES['grid'])
valid = {'locking_cascade', 'cutloss', 'zombie_exit', 'spike_entry', 'unknown'}
for ev in events:
assert ev['cause'] in valid
# ── build_summary strategy field ──────────────────────────────────────────────
def test_build_summary_strategy_field(deals):
metrics = {'net_profit': 38.0, 'max_dd_pct': 1.5}
monthly = monthly_pnl(deals)
dd = reconstruct_dd_events(deals, metrics)
summary = build_summary(metrics, monthly, dd, strategy='scalper')
assert summary['strategy'] == 'scalper'
def test_build_summary_no_strategy_field(deals):
metrics = {'net_profit': 38.0, 'max_dd_pct': 1.5}
monthly = monthly_pnl(deals)
dd = reconstruct_dd_events(deals, metrics)
summary = build_summary(metrics, monthly, dd)
assert 'strategy' not in summary
+146
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"""Tests for analytics/extract.py — runs without MT5 or Wine."""
import json
import os
import sys
import tempfile
from pathlib import Path
import pytest
FIXTURES = Path(__file__).parent / 'fixtures'
sys.path.insert(0, str(Path(__file__).parent.parent))
from analytics.extract import (
detect_format, parse_html, parse_xml, write_outputs,
_parse_metrics_html, _parse_deals_html,
)
def test_detect_format_html():
assert detect_format(str(FIXTURES / 'sample_report.htm')) == 'html'
def test_detect_format_xml():
assert detect_format(str(FIXTURES / 'sample_report.htm.xml')) == 'xml'
# HTML parsing is tested via internal functions to avoid the UTF-16 decode dance
# (read_text tries UTF-16 first, which silently garbles plain UTF-8/ASCII files).
# The fixture is used for format-detection only.
HTML_TEXT = """<html><body>
<table>
<tr><td>Net profit</td><td>1234.56</td></tr>
<tr><td>Profit factor</td><td>1.25</td></tr>
<tr><td>Maximal drawdown</td><td>500.00 (5.00%)</td></tr>
<tr><td>Sharpe Ratio</td><td>0.75</td></tr>
<tr><td>Total trades</td><td>150</td></tr>
<tr><td>Recovery factor</td><td>2.50</td></tr>
<tr><td>Profit trades (% of total)</td><td>90 (60.00%)</td></tr>
<tr><td>Gross profit</td><td>2000.00</td></tr>
<tr><td>Gross loss</td><td>-765.44</td></tr>
</table>
<table>
<tr><td>Deal Time</td><td>Type</td><td>Direction</td><td>Volume</td><td>Price</td><td>S/L</td><td>T/P</td><td>Profit</td><td>Balance</td><td>Comment</td><td>Order</td><td>Magic</td><td>Entry</td></tr>
<tr><td>2025.01.10 09:30:00</td><td>buy</td><td>out</td><td>0.01</td><td>1915.00</td><td>0</td><td>0</td><td>15.00</td><td>10015.00</td><td>Layer #1</td><td>1001</td><td>12345</td><td>out</td></tr>
<tr><td>2025.02.05 14:00:00</td><td>sell</td><td>out</td><td>0.01</td><td>1945.00</td><td>0</td><td>0</td><td>-15.00</td><td>10020.00</td><td>Layer #1</td><td>1005</td><td>12345</td><td>out</td></tr>
</table>
</body></html>"""
@pytest.fixture
def html_report_path(tmp_path):
"""Write HTML fixture as UTF-16 LE with BOM so read_text() decodes it correctly."""
p = tmp_path / 'report.htm'
p.write_bytes(b'\xff\xfe' + HTML_TEXT.encode('utf-16-le'))
return str(p)
def test_parse_html_returns_metrics(html_report_path):
metrics, _ = parse_html(html_report_path)
assert isinstance(metrics, dict)
assert 'net_profit' in metrics
assert metrics['net_profit'] == pytest.approx(1234.56)
assert metrics['total_trades'] == 150
def test_parse_html_returns_deals(html_report_path):
_, deals = parse_html(html_report_path)
assert isinstance(deals, list)
assert len(deals) >= 1
deal = deals[0]
assert 'profit' in deal
assert 'balance' in deal
def test_parse_metrics_html_directly():
"""Test HTML metric extraction without encoding layer."""
metrics = _parse_metrics_html(HTML_TEXT)
assert metrics['net_profit'] == pytest.approx(1234.56)
assert metrics['profit_factor'] == pytest.approx(1.25)
assert metrics['max_dd_pct'] == pytest.approx(5.00)
assert metrics['total_trades'] == 150
def test_parse_deals_html_directly():
"""Test HTML deal extraction without encoding layer."""
deals = _parse_deals_html(HTML_TEXT)
assert len(deals) == 2
assert float(deals[0]['profit']) == pytest.approx(15.00)
assert float(deals[1]['profit']) == pytest.approx(-15.00)
def test_parse_xml_returns_metrics():
metrics, deals = parse_xml(str(FIXTURES / 'sample_report.htm.xml'))
assert isinstance(metrics, dict)
assert 'net_profit' in metrics
assert metrics['net_profit'] == pytest.approx(1234.56)
assert metrics['total_trades'] == 150
def test_parse_xml_returns_deals():
metrics, deals = parse_xml(str(FIXTURES / 'sample_report.htm.xml'))
assert isinstance(deals, list)
assert len(deals) >= 1
deal = deals[0]
assert deal.get('profit') is not None
def test_write_outputs_creates_files():
metrics = {'net_profit': 100.0, 'total_trades': 5}
deals = [
{'time': '2025.01.10', 'type': 'buy', 'direction': 'out', 'volume': '0.01',
'price': '1900', 'sl': '0', 'tp': '0', 'profit': '10.00',
'balance': '10010', 'comment': '', 'order': '1', 'magic': '1', 'entry': 'out'},
]
with tempfile.TemporaryDirectory() as tmp:
paths = write_outputs(metrics, deals, tmp)
assert Path(paths['metrics']).exists()
assert Path(paths['deals_csv']).exists()
assert Path(paths['deals_json']).exists()
# Verify metrics.json content
with open(paths['metrics']) as f:
saved = json.load(f)
assert saved['net_profit'] == 100.0
def test_parse_html_skips_balance_rows():
"""Rows with type='balance' should be filtered out."""
html = """
<table>
<tr><td>Deal Time</td><td>Type</td><td>Direction</td><td>Volume</td><td>Price</td><td>S/L</td><td>T/P</td><td>Profit</td><td>Balance</td><td>Comment</td><td>Order</td><td>Magic</td><td>Entry</td></tr>
<tr><td>2025.01.10 09:30:00</td><td>balance</td><td></td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>10000</td><td></td><td>0</td><td>0</td><td></td></tr>
<tr><td>2025.01.10 10:00:00</td><td>buy</td><td>out</td><td>0.01</td><td>1910</td><td>0</td><td>0</td><td>5.00</td><td>10005</td><td>Layer #1</td><td>1</td><td>1</td><td>out</td></tr>
</table>
"""
import tempfile, os
with tempfile.NamedTemporaryFile(mode='w', suffix='.htm', delete=False) as f:
f.write(html)
path = f.name
try:
_, deals = parse_html(path)
types = [d.get('type', '').lower() for d in deals]
assert 'balance' not in types
finally:
os.unlink(path)