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>

docker/api/Dockerfile

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+FROM python:3.11-slim
+
+WORKDIR /app
+
+# Dépendances système
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        libpq-dev \
+    && rm -rf /var/lib/apt/lists/*
+
+# Installation des dépendances Python
+COPY docker/requirements/base.txt docker/requirements/api.txt ./requirements/
+RUN pip install --no-cache-dir \
+        -r requirements/base.txt \
+        -r requirements/api.txt
+
+# Le code source est monté en volume (dev)
+# En production : COPY src/ ./src/ && COPY config/ ./config/
+
+EXPOSE 8100
+
+CMD ["uvicorn", "src.api.app:app", "--host", "0.0.0.0", "--port", "8100", "--reload"]

docker/dashboard/Dockerfile

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+FROM python:3.11-slim
+
+WORKDIR /app
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        libpq-dev \
+    && rm -rf /var/lib/apt/lists/*
+
+COPY docker/requirements/base.txt docker/requirements/dashboard.txt ./requirements/
+RUN pip install --no-cache-dir \
+        -r requirements/base.txt \
+        -r requirements/dashboard.txt
+
+EXPOSE 8501
+
+CMD ["streamlit", "run", "src/ui/dashboard.py", \
+     "--server.port=8501", \
+     "--server.address=0.0.0.0", \
+     "--server.headless=true"]

docker/jupyter/Dockerfile

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+FROM python:3.11-slim
+
+WORKDIR /app
+
+# Dépendances système + TA-Lib C (nécessaire pour feature engineering ML)
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        build-essential \
+        wget \
+        libpq-dev \
+        libgomp1 \
+        git \
+    && wget https://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz \
+    && tar -xzf ta-lib-0.4.0-src.tar.gz \
+    && cd ta-lib && ./configure --prefix=/usr && make && make install \
+    && cd .. && rm -rf ta-lib ta-lib-0.4.0-src.tar.gz \
+    && rm -rf /var/lib/apt/lists/*
+
+# Toutes les dépendances (base + ml + dev)
+COPY docker/requirements/base.txt docker/requirements/ml.txt ./requirements/
+RUN pip install --no-cache-dir \
+        -r requirements/base.txt \
+        -r requirements/ml.txt \
+    && pip install --no-cache-dir \
+        jupyterlab==4.0.9 \
+        ipywidgets==8.1.1 \
+        ipdb==0.13.13 \
+        memory-profiler==0.61.0
+
+EXPOSE 8888
+
+CMD ["jupyter", "lab", \
+     "--ip=0.0.0.0", \
+     "--port=8888", \
+     "--no-browser", \
+     "--allow-root", \
+     "--notebook-dir=/app/notebooks"]

docker/ml/Dockerfile

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+FROM python:3.11-slim
+
+WORKDIR /app
+
+# Dépendances système (LightGBM)
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        libpq-dev \
+        libgomp1 \
+    && rm -rf /var/lib/apt/lists/*
+
+# Installation des dépendances Python
+COPY docker/requirements/base.txt docker/requirements/ml.txt ./requirements/
+RUN pip install --no-cache-dir \
+        -r requirements/base.txt \
+        -r requirements/ml.txt
+
+EXPOSE 8200
+
+CMD ["uvicorn", "src.ml.service:app", "--host", "0.0.0.0", "--port", "8200", "--reload"]

docker/prometheus/prometheus.yml

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+global:
+  scrape_interval: 15s
+  evaluation_interval: 15s
+
+scrape_configs:
+  - job_name: 'trading-api'
+    static_configs:
+      - targets: ['trading-api:8100']
+    metrics_path: /metrics
+
+  - job_name: 'trading-ml'
+    static_configs:
+      - targets: ['trading-ml:8200']
+    metrics_path: /metrics

docker/requirements/api.txt

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+# ============================================================
+# API - Container trading-api (FastAPI backend)
+# ============================================================
+
+# Serveur ASGI
+uvicorn[standard]==0.24.0
+
+# Market Data
+yfinance>=1.0.0
+alpha-vantage==2.3.1
+
+# Technical Analysis (pandas-based, pas de lib C requise)
+ta==0.11.0
+
+# Optimisation paramètres
+optuna>=4.0.0
+
+# Monitoring
+prometheus-client==0.19.0
+
+# Notifications
+python-telegram-bot==20.7

docker/requirements/base.txt

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

docker/requirements/dashboard.txt

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+# ============================================================
+# DASHBOARD - Container trading-dashboard (Streamlit UI)
+# ============================================================
+
+# UI Framework
+streamlit==1.29.0
+
+# Visualisation
+plotly==5.18.0
+matplotlib==3.8.2
+seaborn==0.13.0
+
+# HTTP client pour appels API
+httpx==0.25.2
+requests==2.31.0

docker/requirements/ml.txt

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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