refactor: restructure repository and add README, CLAUDE.md, LICENSE
- Move utility scripts to scripts/ (check_market, check_positions, etc.) - Move test files to tests/ (test_modules, test_mt5_connection, etc.) - Move deprecated dashboards to archive/ - Move research files to docs/research/ - Add sys.path fix to all moved Python files - Rewrite README.md with architecture diagram and badges - Add CLAUDE.md project guide - Add MIT LICENSE - Update .gitignore with archive/ pattern Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
GifariKemal
@@ -78,3 +78,9 @@ desktop.ini
|
||||
|
||||
# Docker
|
||||
docker/data/
|
||||
|
||||
# Archive
|
||||
archive/
|
||||
|
||||
# Junk
|
||||
nul
|
||||
|
||||
@@ -0,0 +1,124 @@
|
||||
# CLAUDE.md — XAUBot AI
|
||||
|
||||
## Project Overview
|
||||
|
||||
XAUBot AI is an automated XAUUSD (Gold) trading bot that combines Machine Learning (XGBoost), Smart Money Concepts (SMC), and Hidden Markov Model (HMM) regime detection. It runs on MetaTrader 5 via an async Python loop, executing trades on M15 candles.
|
||||
|
||||
## Directory Structure
|
||||
|
||||
```
|
||||
.
|
||||
├── main_live.py # Main async trading orchestrator
|
||||
├── train_models.py # Model training script
|
||||
├── src/ # Core modules
|
||||
│ ├── config.py # Trading configuration & capital modes
|
||||
│ ├── mt5_connector.py # MetaTrader 5 connection layer
|
||||
│ ├── smc_polars.py # Smart Money Concepts (Polars-based)
|
||||
│ ├── ml_model.py # XGBoost trading model
|
||||
│ ├── feature_eng.py # Feature engineering (37 features)
|
||||
│ ├── regime_detector.py # HMM market regime detection
|
||||
│ ├── risk_engine.py # Risk calculations & validation
|
||||
│ ├── smart_risk_manager.py # Dynamic risk management
|
||||
│ ├── session_filter.py # Trading session filter (Sydney/London/NY)
|
||||
│ ├── position_manager.py # Open position management
|
||||
│ ├── dynamic_confidence.py # Adaptive confidence thresholds
|
||||
│ ├── auto_trainer.py # Auto-retraining pipeline
|
||||
│ ├── news_agent.py # Economic news filtering
|
||||
│ ├── telegram_notifier.py # Telegram alerts
|
||||
│ ├── trade_logger.py # Trade logging to DB
|
||||
│ ├── utils.py # Utility functions
|
||||
│ └── db/ # Database schemas
|
||||
├── backtests/ # Backtesting scripts
|
||||
│ ├── backtest_live_sync.py # Main backtest (synced with live logic)
|
||||
│ └── archive/ # Old backtest versions
|
||||
├── scripts/ # Utility scripts
|
||||
│ ├── check_market.py # Quick SMC market analysis
|
||||
│ ├── check_positions.py # View open positions
|
||||
│ ├── check_status.py # Account status check
|
||||
│ ├── close_positions.py # Close all positions
|
||||
│ ├── modify_tp.py # Modify take-profit levels
|
||||
│ └── get_trade_history.py # Pull trade history from MT5
|
||||
├── tests/ # Test scripts
|
||||
│ ├── test_modules.py # Module integration tests
|
||||
│ ├── test_mt5_connection.py# MT5 connection test
|
||||
│ └── test_risk_settings.py # Risk settings test
|
||||
├── models/ # Trained models (.pkl)
|
||||
├── data/ # Market data & trade logs
|
||||
├── docs/ # Documentation
|
||||
│ ├── arsitektur-ai/ # Architecture docs (23 components)
|
||||
│ └── research/ # Research & analysis files
|
||||
├── web-dashboard/ # Next.js monitoring dashboard
|
||||
├── docker/ # Docker configuration
|
||||
└── logs/ # Runtime logs
|
||||
```
|
||||
|
||||
## Key Commands
|
||||
|
||||
```bash
|
||||
# Run the live trading bot
|
||||
python main_live.py
|
||||
|
||||
# Train/retrain ML models
|
||||
python train_models.py
|
||||
|
||||
# Run backtest with threshold tuning
|
||||
python backtests/backtest_live_sync.py --tune
|
||||
|
||||
# Run backtest with specific threshold
|
||||
python backtests/backtest_live_sync.py --threshold 0.50 --save
|
||||
|
||||
# Run module tests
|
||||
python tests/test_modules.py
|
||||
|
||||
# Check market status
|
||||
python scripts/check_market.py
|
||||
```
|
||||
|
||||
## Architecture
|
||||
|
||||
The bot runs an **async candle-based loop** on M15 timeframe:
|
||||
|
||||
1. **Data Fetch** — Pull OHLCV from MT5, convert to Polars DataFrame
|
||||
2. **Feature Engineering** — Calculate 37 technical features (RSI, ATR, MACD, Bollinger, etc.)
|
||||
3. **SMC Analysis** — Detect Order Blocks, Fair Value Gaps, BOS, CHoCH
|
||||
4. **Regime Detection** — HMM classifies market as trending/ranging/volatile
|
||||
5. **ML Prediction** — XGBoost outputs BUY/SELL/HOLD with confidence score
|
||||
6. **Entry Filtering** — 11 entry filters must pass (session, regime, spread, cooldown, etc.)
|
||||
7. **Risk Sizing** — ATR-based SL, dynamic position sizing, Kelly criterion
|
||||
8. **Trade Execution** — Send order to MT5 with broker-level SL/TP
|
||||
9. **Position Management** — 10 exit conditions (trailing SL, time exit, regime change, etc.)
|
||||
10. **Logging** — Trade logged to PostgreSQL + Telegram notification
|
||||
|
||||
## Tech Stack
|
||||
|
||||
- **Python 3.11+** — Main runtime
|
||||
- **Polars** — Data engine (not Pandas)
|
||||
- **XGBoost** — ML model for signal prediction
|
||||
- **hmmlearn** — Hidden Markov Model for regime detection
|
||||
- **MetaTrader5** — Broker connection
|
||||
- **asyncio + aiohttp** — Async execution & HTTP
|
||||
- **loguru** — Structured logging
|
||||
- **PostgreSQL** — Trade database
|
||||
- **Next.js** — Web dashboard (optional)
|
||||
|
||||
## Configuration
|
||||
|
||||
All secrets in `.env`:
|
||||
- `MT5_LOGIN`, `MT5_PASSWORD`, `MT5_SERVER`, `MT5_PATH` — Broker credentials
|
||||
- `TELEGRAM_BOT_TOKEN`, `TELEGRAM_CHAT_ID` — Notifications
|
||||
- `CAPITAL` — Trading capital
|
||||
- `SYMBOL` — Default: XAUUSD
|
||||
|
||||
Capital modes auto-configure risk parameters:
|
||||
- **MICRO** (<$500): 2% risk/trade
|
||||
- **SMALL** ($500-$10k): 1.5% risk/trade
|
||||
- **MEDIUM** ($10k-$100k): 0.5% risk/trade
|
||||
- **LARGE** (>$100k): 0.25% risk/trade
|
||||
|
||||
## Important Notes
|
||||
|
||||
- All data processing uses **Polars**, not Pandas
|
||||
- The bot targets **< 50ms per loop** iteration
|
||||
- Models are stored as `.pkl` files in `models/`
|
||||
- Backtest logic is **synced with live** (`backtest_live_sync.py` mirrors `main_live.py`)
|
||||
- Scripts in `scripts/` and `tests/` include `sys.path` fix so they work from any directory
|
||||
@@ -0,0 +1,21 @@
|
||||
MIT License
|
||||
|
||||
Copyright (c) 2025-2026 Gifari Kemal
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
@@ -1,19 +1,112 @@
|
||||
# Smart Automatic Trading BOT + AI
|
||||
# XAUBot AI
|
||||
|
||||
An intelligent automated trading system for XAUUSD (Gold) using Machine Learning and Smart Money Concepts (SMC).
|
||||
**AI-powered XAUUSD (Gold) trading bot** with XGBoost ML, Smart Money Concepts (SMC), and HMM regime detection for MetaTrader 5.
|
||||
|
||||
[](https://www.python.org/downloads/)
|
||||
[](LICENSE)
|
||||
[](https://www.metatrader5.com/)
|
||||
|
||||
---
|
||||
|
||||
## Features
|
||||
|
||||
- **ML-Powered Predictions**: XGBoost model with 37 features for market direction prediction
|
||||
- **Smart Money Concepts (SMC)**: Order Blocks, Fair Value Gaps, Break of Structure, Change of Character
|
||||
- **HMM Regime Detection**: Hidden Markov Model for market regime classification
|
||||
- **Dynamic Risk Management**: ATR-based stop loss, position sizing, and smart exits
|
||||
- **Session-Aware Trading**: Optimized for different market sessions (Sydney, London, NY)
|
||||
- **Auto-Retraining**: Models automatically retrain based on market conditions
|
||||
- **Telegram Notifications**: Real-time trade alerts and market updates
|
||||
- **Web Dashboard**: Real-time monitoring interface
|
||||
| Feature | Description |
|
||||
|---------|-------------|
|
||||
| **XGBoost ML Model** | 37-feature model predicting BUY/SELL/HOLD with calibrated confidence |
|
||||
| **Smart Money Concepts** | Order Blocks, Fair Value Gaps, Break of Structure, Change of Character |
|
||||
| **HMM Regime Detection** | 3-state Hidden Markov Model classifying trending/ranging/volatile markets |
|
||||
| **Dynamic Risk Management** | ATR-based stop loss, Kelly criterion sizing, daily loss limits |
|
||||
| **Session-Aware Trading** | Optimized for Sydney, London, and New York sessions |
|
||||
| **Auto-Retraining** | Models automatically retrain when market conditions shift |
|
||||
| **Telegram Alerts** | Real-time trade notifications and daily summaries |
|
||||
| **Web Dashboard** | Next.js monitoring interface for live tracking |
|
||||
|
||||
## Performance (Backtest Jan 2025 - Feb 2026)
|
||||
## Architecture
|
||||
|
||||
```
|
||||
┌─────────────────┐
|
||||
│ MetaTrader 5 │
|
||||
│ (XAUUSD M15) │
|
||||
└────────┬─────────┘
|
||||
│ OHLCV
|
||||
┌────────▼─────────┐
|
||||
│ Data Pipeline │
|
||||
│ (Polars Engine) │
|
||||
└────────┬─────────┘
|
||||
│
|
||||
┌─────────────────┼─────────────────┐
|
||||
│ │ │
|
||||
┌────────▼───────┐ ┌──────▼───────┐ ┌───────▼──────┐
|
||||
│ SMC Analyzer │ │ Feature Eng │ │ HMM Regime │
|
||||
│ (OB/FVG/BOS) │ │ (37 features) │ │ Detector │
|
||||
└────────┬───────┘ └──────┬───────┘ └───────┬──────┘
|
||||
│ │ │
|
||||
└─────────────────┼─────────────────┘
|
||||
│
|
||||
┌────────▼─────────┐
|
||||
│ XGBoost Model │
|
||||
│ (Signal + Conf) │
|
||||
└────────┬─────────┘
|
||||
│
|
||||
┌─────────────────┼─────────────────┐
|
||||
│ │ │
|
||||
┌────────▼───────┐ ┌──────▼───────┐ ┌───────▼──────┐
|
||||
│ 11 Entry │ │ Risk Engine │ │ Position │
|
||||
│ Filters │ │ (ATR + Kelly)│ │ Manager │
|
||||
└────────┬───────┘ └──────┬───────┘ └───────┬──────┘
|
||||
│ │ │
|
||||
└────────────────┼──────────────────┘
|
||||
│
|
||||
┌────────▼─────────┐
|
||||
│ Trade Execution │
|
||||
│ (MT5 + Logging) │
|
||||
└───────────────────┘
|
||||
```
|
||||
|
||||
## Project Structure
|
||||
|
||||
```
|
||||
xaubot-ai/
|
||||
├── main_live.py # Main async trading orchestrator
|
||||
├── train_models.py # Model training script
|
||||
├── src/ # Core modules
|
||||
│ ├── config.py # Trading configuration & capital modes
|
||||
│ ├── mt5_connector.py # MetaTrader 5 connection layer
|
||||
│ ├── smc_polars.py # Smart Money Concepts analyzer
|
||||
│ ├── ml_model.py # XGBoost trading model
|
||||
│ ├── feature_eng.py # Feature engineering (37 features)
|
||||
│ ├── regime_detector.py # HMM market regime detection
|
||||
│ ├── risk_engine.py # Risk calculations & validation
|
||||
│ ├── smart_risk_manager.py # Dynamic risk management
|
||||
│ ├── session_filter.py # Session filter (Sydney/London/NY)
|
||||
│ ├── position_manager.py # Open position management
|
||||
│ ├── dynamic_confidence.py # Adaptive confidence thresholds
|
||||
│ ├── auto_trainer.py # Auto-retraining pipeline
|
||||
│ ├── news_agent.py # Economic news filtering
|
||||
│ ├── telegram_notifier.py # Telegram alerts
|
||||
│ ├── trade_logger.py # Trade logging to DB
|
||||
│ └── utils.py # Utility functions
|
||||
├── backtests/ # Backtesting
|
||||
│ ├── backtest_live_sync.py # Main backtest (synced with live)
|
||||
│ └── archive/ # Historical versions
|
||||
├── scripts/ # Utility scripts
|
||||
│ ├── check_market.py # Quick SMC market analysis
|
||||
│ ├── check_positions.py # View open positions
|
||||
│ ├── check_status.py # Account status check
|
||||
│ ├── close_positions.py # Emergency close all
|
||||
│ ├── modify_tp.py # Modify take-profit levels
|
||||
│ └── get_trade_history.py # Pull trade history
|
||||
├── tests/ # Tests
|
||||
├── models/ # Trained models (.pkl)
|
||||
├── data/ # Market data & trade logs
|
||||
├── docs/ # Documentation
|
||||
│ ├── arsitektur-ai/ # Architecture docs (23 components)
|
||||
│ └── research/ # Research & analysis
|
||||
├── web-dashboard/ # Next.js monitoring dashboard
|
||||
└── docker/ # Docker configuration
|
||||
```
|
||||
|
||||
## Backtest Results (Jan 2025 - Feb 2026)
|
||||
|
||||
| Metric | Value |
|
||||
|--------|-------|
|
||||
@@ -24,80 +117,92 @@ An intelligent automated trading system for XAUUSD (Gold) using Machine Learning
|
||||
| Max Drawdown | 2.2% |
|
||||
| Sharpe Ratio | 4.83 |
|
||||
|
||||
## Architecture
|
||||
## Installation
|
||||
|
||||
### Prerequisites
|
||||
|
||||
- Python 3.11+
|
||||
- MetaTrader 5 terminal (Windows)
|
||||
- PostgreSQL (optional, for trade logging)
|
||||
|
||||
### Setup
|
||||
|
||||
```bash
|
||||
# Clone the repository
|
||||
git clone https://github.com/GifariKemal/xaubot-ai.git
|
||||
cd xaubot-ai
|
||||
|
||||
# Install dependencies
|
||||
pip install -r requirements.txt
|
||||
|
||||
# Configure environment
|
||||
cp .env.example .env
|
||||
# Edit .env with your MT5 credentials and Telegram token
|
||||
```
|
||||
├── main_live.py # Main trading orchestrator
|
||||
├── src/
|
||||
│ ├── ml_model.py # XGBoost ML model
|
||||
│ ├── smc_polars.py # Smart Money Concepts analyzer
|
||||
│ ├── regime_detector.py # HMM market regime detection
|
||||
│ ├── smart_risk_manager.py # Risk management system
|
||||
│ ├── feature_eng.py # Feature engineering
|
||||
│ ├── mt5_connector.py # MetaTrader 5 connection
|
||||
│ ├── session_filter.py # Trading session management
|
||||
│ └── ...
|
||||
├── backtests/
|
||||
│ ├── backtest_live_sync.py # Main backtest (synced with live)
|
||||
│ └── archive/ # Historical backtest scripts
|
||||
├── models/ # Trained ML models (.pkl)
|
||||
├── data/ # Market data and trade logs
|
||||
├── docs/ # Documentation
|
||||
└── web-dashboard/ # Next.js monitoring dashboard
|
||||
|
||||
### Configuration
|
||||
|
||||
Key settings in `.env`:
|
||||
|
||||
```env
|
||||
# MetaTrader 5
|
||||
MT5_LOGIN=your_login
|
||||
MT5_PASSWORD=your_password
|
||||
MT5_SERVER=your_server
|
||||
MT5_PATH=C:/Program Files/MetaTrader 5/terminal64.exe
|
||||
|
||||
# Telegram Notifications
|
||||
TELEGRAM_BOT_TOKEN=your_bot_token
|
||||
TELEGRAM_CHAT_ID=your_chat_id
|
||||
|
||||
# Trading
|
||||
CAPITAL=5000
|
||||
SYMBOL=XAUUSD
|
||||
```
|
||||
|
||||
### Run
|
||||
|
||||
```bash
|
||||
# Train models first
|
||||
python train_models.py
|
||||
|
||||
# Start the bot
|
||||
python main_live.py
|
||||
|
||||
# Run backtest
|
||||
python backtests/backtest_live_sync.py --tune
|
||||
```
|
||||
|
||||
## Risk Management
|
||||
|
||||
- **ATR-Based Stop Loss**: Minimum 1.5 ATR distance
|
||||
- **Broker-Level Protection**: Emergency SL at broker level
|
||||
- **Time-Based Exit**: Max 6 hours per trade
|
||||
- **Daily Loss Limit**: 5% of capital
|
||||
- **Position Limit**: Max 2 concurrent positions
|
||||
| Protection | Details |
|
||||
|-----------|---------|
|
||||
| **ATR-Based Stop Loss** | Minimum 1.5x ATR distance |
|
||||
| **Broker-Level SL** | Emergency SL set at broker level |
|
||||
| **Position Sizing** | Kelly criterion with capital mode scaling |
|
||||
| **Daily Loss Limit** | 5% of capital per day |
|
||||
| **Total Loss Limit** | 10% of capital |
|
||||
| **Position Limit** | Max 2 concurrent positions |
|
||||
| **Time-Based Exit** | Max 6 hours per trade |
|
||||
| **Session Filter** | Only trades during active sessions |
|
||||
| **Spread Filter** | Rejects trades during high spread |
|
||||
| **Cooldown** | Minimum time between trades |
|
||||
|
||||
## Installation
|
||||
## Tech Stack
|
||||
|
||||
1. Clone the repository
|
||||
2. Install dependencies:
|
||||
```bash
|
||||
pip install -r requirements.txt
|
||||
```
|
||||
3. Copy `.env.example` to `.env` and configure:
|
||||
- MT5 credentials
|
||||
- Telegram bot token
|
||||
- Database connection
|
||||
4. Train models:
|
||||
```bash
|
||||
python train_models.py
|
||||
```
|
||||
5. Run the bot:
|
||||
```bash
|
||||
python main_live.py
|
||||
```
|
||||
|
||||
## Configuration
|
||||
|
||||
Key settings in `.env`:
|
||||
- `MT5_LOGIN`, `MT5_PASSWORD`, `MT5_SERVER` - MetaTrader 5 credentials
|
||||
- `TELEGRAM_BOT_TOKEN`, `TELEGRAM_CHAT_ID` - Telegram notifications
|
||||
- `CAPITAL` - Trading capital amount
|
||||
- `SYMBOL` - Trading symbol (default: XAUUSD)
|
||||
|
||||
## Backtest
|
||||
|
||||
Run backtest with threshold tuning:
|
||||
```bash
|
||||
python backtests/backtest_live_sync.py --tune
|
||||
```
|
||||
|
||||
Run backtest with specific threshold:
|
||||
```bash
|
||||
python backtests/backtest_live_sync.py --threshold 0.50 --save
|
||||
```
|
||||
- **Polars** — High-performance data engine (not Pandas)
|
||||
- **XGBoost** — Gradient boosted ML model
|
||||
- **hmmlearn** — Hidden Markov Model for regime detection
|
||||
- **MetaTrader5** — Broker connection API
|
||||
- **asyncio** — Async event loop for low-latency execution
|
||||
- **loguru** — Structured logging
|
||||
- **PostgreSQL** — Trade database
|
||||
- **Next.js** — Web dashboard
|
||||
|
||||
## Disclaimer
|
||||
|
||||
This software is for educational purposes only. Trading involves substantial risk of loss. Past performance is not indicative of future results. Use at your own risk.
|
||||
> This software is for **educational and research purposes only**. Trading foreign exchange (Forex) and commodities on margin carries a high level of risk and may not be suitable for all investors. Past performance is not indicative of future results. You could lose some or all of your investment. **Use at your own risk.**
|
||||
|
||||
## License
|
||||
|
||||
MIT License
|
||||
[MIT License](LICENSE) - Copyright (c) 2025-2026 Gifari Kemal
|
||||
|
||||
@@ -1,4 +1,8 @@
|
||||
"""Quick market analysis script"""
|
||||
# Run from project root: python scripts/check_market.py
|
||||
import sys, os
|
||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
|
||||
from dotenv import load_dotenv
|
||||
load_dotenv()
|
||||
|
||||
@@ -1,5 +1,8 @@
|
||||
"""Check open positions and account status."""
|
||||
import os
|
||||
# Run from project root: python scripts/check_positions.py
|
||||
import sys, os
|
||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
|
||||
from dotenv import load_dotenv
|
||||
load_dotenv()
|
||||
|
||||
@@ -1,7 +1,10 @@
|
||||
"""Quick status check script."""
|
||||
# Run from project root: python scripts/check_status.py
|
||||
import sys, os
|
||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
|
||||
import MetaTrader5 as mt5
|
||||
from dotenv import load_dotenv
|
||||
import os
|
||||
from datetime import datetime, timedelta
|
||||
|
||||
load_dotenv()
|
||||
@@ -1,5 +1,8 @@
|
||||
"""Close all open positions."""
|
||||
import os
|
||||
# Run from project root: python scripts/close_positions.py
|
||||
import sys, os
|
||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
|
||||
from dotenv import load_dotenv
|
||||
load_dotenv()
|
||||
|
||||
@@ -1,5 +1,8 @@
|
||||
"""Get real trading history from MT5."""
|
||||
import os
|
||||
# Run from project root: python scripts/get_trade_history.py
|
||||
import sys, os
|
||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
|
||||
from datetime import datetime, timedelta
|
||||
from dotenv import load_dotenv
|
||||
load_dotenv()
|
||||
@@ -1,5 +1,8 @@
|
||||
"""Modify TP of open positions to closer targets."""
|
||||
import os
|
||||
# Run from project root: python scripts/modify_tp.py
|
||||
import sys, os
|
||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
|
||||
from dotenv import load_dotenv
|
||||
load_dotenv()
|
||||
|
||||
@@ -3,8 +3,10 @@ Module Test Script
|
||||
==================
|
||||
Tests all modules to ensure they work correctly.
|
||||
"""
|
||||
# Run from project root: python tests/test_modules.py
|
||||
import sys, os
|
||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
|
||||
import sys
|
||||
import polars as pl
|
||||
import numpy as np
|
||||
from datetime import datetime, timedelta
|
||||
@@ -3,9 +3,10 @@ Test MT5 Connection
|
||||
===================
|
||||
Quick test to verify MT5 connection and data retrieval.
|
||||
"""
|
||||
# Run from project root: python tests/test_mt5_connection.py
|
||||
import sys, os
|
||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
|
||||
import os
|
||||
import sys
|
||||
from loguru import logger
|
||||
|
||||
# Configure logging
|
||||
@@ -1,4 +1,8 @@
|
||||
"""Test new risk settings."""
|
||||
# Run from project root: python tests/test_risk_settings.py
|
||||
import sys, os
|
||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
|
||||
from src.smart_risk_manager import create_smart_risk_manager
|
||||
|
||||
# Test dengan modal $50
|
||||
Reference in New Issue
Block a user