feat: trading bot MVP — ICT Order Block + Liquidity Sweep strategy

Full-stack trading bot with:
- FastAPI backend with ICT strategy (Order Block + Liquidity Sweep detection)
- Backtester engine with rolling window, spread simulation, and performance metrics
- Hybrid market data service (yfinance + TwelveData with rate limiting + SQLite cache)
- Simulated exchange for paper trading
- React/TypeScript frontend with TradingView lightweight-charts v5
- Live dashboard with candlestick chart, OHLC legend, trade markers
- Backtest page with configurable parameters, equity curve, and trade table
- WebSocket support for real-time updates
- Bot runner with asyncio loop for automated trading

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

backend/app/models/backtest_result.py

@@ -0,0 +1,32 @@
+from datetime import datetime
+from typing import Optional
+
+from sqlalchemy import Float, Integer, String, DateTime, JSON
+from sqlalchemy.orm import Mapped, mapped_column
+
+from app.core.database import Base
+
+
+class BacktestResult(Base):
+    __tablename__ = "backtest_results"
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
+    instrument: Mapped[str] = mapped_column(String(20))
+    granularity: Mapped[str] = mapped_column(String(10))
+    start_date: Mapped[datetime] = mapped_column(DateTime)
+    end_date: Mapped[datetime] = mapped_column(DateTime)
+    initial_balance: Mapped[float] = mapped_column(Float, default=10000.0)
+    final_balance: Mapped[float] = mapped_column(Float)
+    total_pnl: Mapped[float] = mapped_column(Float)
+    total_trades: Mapped[int] = mapped_column(Integer)
+    winning_trades: Mapped[int] = mapped_column(Integer)
+    losing_trades: Mapped[int] = mapped_column(Integer)
+    win_rate: Mapped[float] = mapped_column(Float)
+    max_drawdown: Mapped[float] = mapped_column(Float)
+    sharpe_ratio: Mapped[Optional[float]] = mapped_column(Float, nullable=True)
+    expectancy: Mapped[float] = mapped_column(Float)
+    # Courbe d'équité [{time, balance}] stockée en JSON
+    equity_curve: Mapped[Optional[dict]] = mapped_column(JSON, nullable=True)
+    # Paramètres de la stratégie utilisés
+    strategy_params: Mapped[Optional[dict]] = mapped_column(JSON, nullable=True)
+    created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)