Initial commit — Trading AI Secure project complet

Architecture Docker (8 services), FastAPI, TimescaleDB, Redis, Streamlit.
Stratégies : scalping, intraday, swing. MLEngine + RegimeDetector (HMM).
BacktestEngine + WalkForwardAnalyzer + Optuna optimizer.
Routes API complètes dont /optimize async.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Tika
2026-03-08 17:38:09 +00:00
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# ============================================================
# ML - Container trading-ml (Machine Learning engine)
# ============================================================
# Serveur ASGI
uvicorn[standard]==0.24.0
# Machine Learning
scikit-learn==1.3.2
xgboost==2.0.3
lightgbm==4.1.0
hmmlearn==0.3.0
# Optimisation
optuna==3.5.0
# Time Series
statsmodels==0.14.1
# Technical Analysis (feature engineering, pandas-based)
ta==0.11.0
# Market Data (pour entraînement)
yfinance>=1.0.0