feat: Smart AI Trading Bot for XAUUSD with ML and SMC

- XGBoost ML model with 37 features for market direction prediction
- Smart Money Concepts (SMC): Order Blocks, FVG, BOS, CHoCH
- HMM market regime detection (trending/ranging/volatile)
- ATR-based stop loss with 1.5 ATR minimum distance
- Broker-level SL protection with fallback
- Time-based exit (max 6 hours per trade)
- Session-aware trading optimized for London/NY overlap
- Auto-retraining based on market conditions
- Telegram notifications and web dashboard
- Backtest results: 63.9% win rate, 2.64 profit factor, 4.83 Sharpe

Backtest period: Jan 2025 - Feb 2026, 654 trades, $4,189 net P/L

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

requirements.txt

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+# Smart Automatic Trading BOT + AI
+# Requirements for Hybrid AI Forex Trading System (XAUUSD)
+# Python 3.11+ required
+
+# Core Data Engine (Rust-based, NOT Pandas)
+polars>=1.37.0
+pyarrow>=15.0.0
+
+# Broker Connection
+MetaTrader5>=5.0.5572
+
+# Machine Learning
+xgboost>=2.1.0
+scikit-learn>=1.4.0
+hmmlearn>=0.3.3
+joblib>=1.4.0
+
+# Asynchronous Processing
+asyncio-throttle>=1.0.2
+
+# Logging and Monitoring
+loguru>=0.7.2
+
+# Environment Variables
+python-dotenv>=1.0.1
+
+# Numerical Computing (for numpy-based SMC algorithms)
+numpy>=1.26.0
+
+# HTTP Client (for Telegram)
+aiohttp>=3.9.0
+
+# PostgreSQL Database
+psycopg2-binary>=2.9.9
+
+# Optional: For backtesting
+# vectorbt>=0.26.2
+
+# Optional: Connection pooling
+# asyncpg>=0.29.0