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/api/routes/candles.py

@@ -0,0 +1,30 @@
+from fastapi import APIRouter, Depends, HTTPException, Query
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from app.core.database import get_db
+from app.services.market_data import MarketDataService
+
+router = APIRouter(prefix="/candles", tags=["candles"])
+
+VALID_GRANULARITIES = {"M1", "M5", "M15", "M30", "H1", "H4", "D"}
+
+
+@router.get("")
+async def get_candles(
+    instrument: str = Query(default="EUR_USD", description="Ex: EUR_USD, GBP_USD, SPX500_USD"),
+    granularity: str = Query(default="H1", description="M1, M5, M15, M30, H1, H4, D"),
+    count: int = Query(default=200, ge=10, le=5000),
+    db: AsyncSession = Depends(get_db),
+):
+    if granularity not in VALID_GRANULARITIES:
+        raise HTTPException(400, f"Granularité invalide. Valides: {VALID_GRANULARITIES}")
+
+    service = MarketDataService(db)
+    df = await service.get_candles(instrument, granularity, count)
+
+    return {
+        "instrument": instrument,
+        "granularity": granularity,
+        "count": len(df),
+        "candles": df.to_dict(orient="records") if not df.empty else [],
+    }