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/trades.py

@@ -0,0 +1,53 @@
+from typing import Optional
+
+from fastapi import APIRouter, Depends, Query
+from sqlalchemy import select
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from app.core.database import get_db
+from app.models.trade import Trade
+
+router = APIRouter(prefix="/trades", tags=["trades"])
+
+
+@router.get("")
+async def get_trades(
+    source: Optional[str] = Query(default=None, description="live | backtest"),
+    status: Optional[str] = Query(default=None, description="open | closed"),
+    instrument: Optional[str] = Query(default=None),
+    limit: int = Query(default=100, ge=1, le=1000),
+    db: AsyncSession = Depends(get_db),
+):
+    stmt = select(Trade).order_by(Trade.opened_at.desc()).limit(limit)
+    if source:
+        stmt = stmt.where(Trade.source == source)
+    if status:
+        stmt = stmt.where(Trade.status == status)
+    if instrument:
+        stmt = stmt.where(Trade.instrument == instrument)
+
+    result = await db.execute(stmt)
+    trades = result.scalars().all()
+
+    return {
+        "total": len(trades),
+        "trades": [
+            {
+                "id": t.id,
+                "source": t.source,
+                "instrument": t.instrument,
+                "direction": t.direction,
+                "units": t.units,
+                "entry_price": t.entry_price,
+                "stop_loss": t.stop_loss,
+                "take_profit": t.take_profit,
+                "exit_price": t.exit_price,
+                "pnl": t.pnl,
+                "status": t.status,
+                "signal_type": t.signal_type,
+                "opened_at": str(t.opened_at),
+                "closed_at": str(t.closed_at) if t.closed_at else None,
+            }
+            for t in trades
+        ],
+    }