da30ef19ed
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>
43 lines
676 B
Plaintext
43 lines
676 B
Plaintext
# ============================================================
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# BASE - Partagé entre tous les containers
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# ============================================================
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# Data
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numpy==1.26.2
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pandas==2.1.3
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scipy==1.11.4
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# Database
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sqlalchemy==2.0.23
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psycopg2-binary==2.9.9
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alembic==1.13.0
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# Cache
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redis==5.0.1
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# Async
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aiohttp==3.9.1
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aiofiles==23.2.1
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httpx==0.25.2
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# HTTP
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requests==2.31.0
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requests-oauthlib==1.3.1
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# Config
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python-dotenv==1.0.0
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pyyaml==6.0.1
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# Date/Time
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python-dateutil==2.8.2
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pytz==2023.3.post1
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# Logging
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loguru==0.7.2
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python-json-logger==2.0.7
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# API Framework (utilisé par api + ml services)
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fastapi==0.104.1
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pydantic==2.5.0
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pydantic-settings==2.1.0
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