feat: apply #28B smart breakeven + #31B H1 EMA20 filter, add backtests #26-#32
Live trading optimizations (cumulative: $2,807 net, 81.8% WR, Sharpe 3.97): - #28B: Smart breakeven locks profit at entry + 0.5x ATR instead of fixed $2 - #31B: H1 Price vs EMA20 filter — BUY only when H1 bullish, SELL only when bearish Backtests #26-#32 (7 scripts testing sell improvement, regime-aware entry, confluence scoring, dynamic RR, multi-TF H1, and ML exit optimizer). Winners: #28B (+$229), #31B (+$343). Failed: #26, #27, #29, #30, #32. Also includes: web dashboard redesign, Docker setup, startup scripts. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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# Docker-compatible requirements (Linux)
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# Note: MetaTrader5 is Windows-only, excluded from Docker build
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# Core Data Engine (Rust-based, NOT Pandas)
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polars>=1.37.0
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pyarrow>=15.0.0
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# Machine Learning
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xgboost>=2.1.0
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scikit-learn>=1.4.0
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hmmlearn>=0.3.3
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joblib>=1.4.0
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# Asynchronous Processing
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asyncio-throttle>=1.0.2
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# Logging and Monitoring
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loguru>=0.7.2
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# Environment Variables
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python-dotenv>=1.0.1
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# Numerical Computing
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numpy>=1.26.0
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# HTTP Client
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aiohttp>=3.9.0
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# PostgreSQL Database
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psycopg2-binary>=2.9.9
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# FastAPI for Web Dashboard API
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fastapi>=0.109.0
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uvicorn[standard]>=0.27.0
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pydantic>=2.6.0
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# CORS middleware
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python-multipart>=0.0.6
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