🤖 Smart Trading Bot

An intelligent, multi-strategy trading bot with machine learning predictions, emotion-based risk management, and automated profit-taking for MetaTrader 5.

✨ Features

• 🤖 AI-Powered Trading: ML-based price prediction using XGBoost
• 📊 Multi-Strategy Support: Scalping, Balanced, Aggressive, Swing trading
• 💭 Emotion-Based Risk Management: Adapts to market conditions and user psychology
• 💰 Proactive Profit-Taking: Automatic position closure at profit targets
• ⏰ Market Hours Automation: Starts/stops trading during market hours
• 📱 Modern Dashboard: React-based UI with real-time monitoring
• 🔒 Robust Error Handling: Comprehensive logging and fallback mechanisms

🚀 Quick Start

1. Install Dependencies

   pip install -r requirements.txt
   cd frontend && npm install

2. Run Backend

   cd "Backend/New Version"
   python main.py

3. Run Frontend

   cd frontend
   npm run dev

4. Access Dashboard: http://localhost:5173

📁 Project Structure

TestingAI/
├── Backend/
│   ├── New Version/          # Current production version
│   │   ├── main.py           # FastAPI application entry point
│   │   ├── api_routes.py     # API endpoint definitions
│   │   ├── trading_logicv3.py # Core trading logic with ML predictions
│   │   ├── feature_engineering.py # Feature extraction for ML models
│   │   ├── mt5_utils.py      # MetaTrader 5 connection utilities
│   │   ├── bot_state.py      # Bot state management
│   │   ├── symbol_manager.py # Symbol and strategy management
│   │   ├── rl_brain.py       # Reinforcement learning components
│   │   ├── train_rl.py       # RL model training script
│   │   └── symbol_strategies.yaml # Strategy configurations
│   ├── OldVersion/           # Legacy bot versions
│   └── OldVersionV2/         # Previous iteration
├── frontend/
│   ├── src/
│   │   ├── Comp/             # React components
│   │   │   ├── BotDashboard.jsx    # Main trading dashboard
│   │   │   ├── PositionMonitor.jsx # Real-time position tracking
│   │   │   ├── MT5Login.jsx        # MT5 connection interface
│   │   │   └── Settings.jsx        # Configuration panel
│   │   ├── Pages/
│   │   │   └── Home.jsx      # Home page
│   │   └── assets/           # Fonts and static assets
│   └── package.json          # Frontend dependencies
├── requirements.txt          # Python dependencies
├── SETUP.md                  # Detailed setup instructions
├── API_REFERENCE.md          # Complete API documentation
├── USER_GUIDE.md            # User manual
├── DEPLOYMENT.md             # Deployment guide
└── TROUBLESHOOTING.md        # Common issues and solutions

🛠️ Technologies Used

Backend

• FastAPI - Modern Python web framework
• PyTorch - Deep learning framework for ML models
• XGBoost - Gradient boosting for price predictions
• Pandas & NumPy - Data manipulation and analysis
• MetaTrader 5 API - Trading platform integration
• APScheduler - Task scheduling for automated trading
• SQLite - Trade history storage

Frontend

• React 19 - UI framework
• Vite - Build tool and dev server
• Tailwind CSS - Utility-first CSS framework
• Chart.js - Data visualization
• Axios - HTTP client
• React Router - Client-side routing

⚙️ Configuration

Strategy Configuration

Edit Backend/New Version/symbol_strategies.yaml to customize trading strategies per symbol:

EURUSD:
  strategy: "scalping"
  emotion_level: "balanced"
  risk_per_trade: 0.02

Environment Variables

Create a .env file (optional) for configuration:

• MT5 credentials (or use UI login)
• API keys (if using external data sources)

📚 Documentation

• SETUP.md - Installation and setup guide
• API_REFERENCE.md - Complete API endpoint documentation
• USER_GUIDE.md - User manual and features
• DEPLOYMENT.md - Production deployment instructions
• TROUBLESHOOTING.md - Common issues and solutions

🔧 Development

Running in Development Mode

Backend:

cd "Backend/New Version"
python main.py

Frontend:

cd frontend
npm run dev

Training ML Models

cd "Backend/New Version"
python train_rl.py

📝 Features in Detail

• AI-Powered Predictions: Uses XGBoost and PyTorch models to predict price movements
• Multi-Strategy Trading: Supports scalping, balanced, aggressive, and swing trading strategies
• Emotion-Based Risk Management: Adjusts risk based on market conditions and user preferences
• Real-Time Monitoring: Live dashboard with position tracking and performance metrics
• Automated Profit-Taking: Closes positions automatically when profit targets are reached
• Market Hours Detection: Automatically starts/stops trading during market hours

⚠️ Disclaimer

This trading bot is for educational and research purposes. Trading involves substantial risk of loss. Always test thoroughly in a demo environment before using real funds. The authors are not responsible for any financial losses.

📄 License

This project is provided as-is for educational purposes.

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📧 Support

For issues and questions, please refer to TROUBLESHOOTING.md or open an issue on GitHub.