GifariKemal
7af9183af3
- 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, $4,189 net P/L Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
81 lines
874 B
Plaintext
81 lines
874 B
Plaintext
# Environment and secrets
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.env
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.env.local
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.env.*.local
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*.pem
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*.key
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credentials.json
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# Virtual environments
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venv/
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ENV/
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env/
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.venv/
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# IDE
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.idea/
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.vscode/
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*.swp
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*.swo
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*~
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# Logs (keep structure, ignore content)
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logs/*.log
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logs/**/*.log
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# Data files (large)
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data/market_data/
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data/trade_logs/trades/*.csv
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data/trade_logs/ml_data/*.csv
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# Models (large binary files)
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models/*.pkl
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models/*.joblib
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models/*.h5
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# Backtest results (generated)
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backtests/results/*.csv
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# Node modules (dashboard)
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web-dashboard/node_modules/
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web-dashboard/.next/
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web-dashboard/out/
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# OS files
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.DS_Store
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Thumbs.db
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desktop.ini
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# Temporary files
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*.tmp
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*.temp
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*.bak
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# Jupyter
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.ipynb_checkpoints/
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# Docker
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docker/data/
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