buckybonez
538d3ae50b
- 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>
38 lines
884 B
Python
38 lines
884 B
Python
"""
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Smart Automatic Trading BOT + AI
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================================
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Hybrid AI Forex Trading System for XAUUSD
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Tech Stack:
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- Polars (Rust-based DataFrame engine)
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- MetaTrader5 (Broker connection)
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- XGBoost (ML predictions)
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- HMM (Regime detection)
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- Native SMC implementation (FVG, Order Blocks, BOS)
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Author: Smart Trading Bot Team
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Version: 1.0.0
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"""
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__version__ = "1.0.0"
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__author__ = "Smart Trading Bot Team"
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from .config import TradingConfig, CapitalMode
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from .mt5_connector import MT5Connector
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from .smc_polars import SMCAnalyzer
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from .feature_eng import FeatureEngineer
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from .regime_detector import MarketRegimeDetector
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from .risk_engine import RiskEngine
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from .ml_model import TradingModel
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__all__ = [
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"TradingConfig",
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"CapitalMode",
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"MT5Connector",
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"SMCAnalyzer",
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"FeatureEngineer",
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"MarketRegimeDetector",
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"RiskEngine",
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"TradingModel",
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]
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