feat: Add Phase 4 advanced metrics and components

- Add advanced metrics dashboard with trade analytics
- Add new trading components (EntryTypeAnalysis, MultiDayPositionTracker, NewsEventTracker, etc.)
- Add strategy mode selector and trend confirmation
- Add risk automation panel and slippage correlation analysis
- Add daily trading plan enhancements with modal components
- Add custom hooks (useApi, useLocalStorage, useAdvancedTradeMetrics)
- Add broker service integration and trading API
- Add test setup and vitest configuration
- Include parquet data files for live market data
- Add comprehensive documentation in docs/ folder

backend/app/api/positions.py

@@ -0,0 +1,27 @@
+from __future__ import annotations
+
+from fastapi import APIRouter, HTTPException, Query
+
+from app.schemas.schemas import PositionMetrics
+from app.services.ai_context_builder import ai_context_builder
+from app.services.price_anchor import price_anchor_service
+
+router = APIRouter(prefix="/positions", tags=["Positions"])
+
+
+@router.get("/metrics", response_model=PositionMetrics)
+async def get_position_metrics(
+    symbol: str = Query("XAUUSD", description="Symbol, e.g., XAUUSD or BTCUSDT"),
+    timeframe: str = Query("1m", description="Timeframe such as 1m,5m,1h"),
+    limit: int = Query(400, ge=50, le=2000, description="Number of bars to analyze"),
+) -> PositionMetrics:
+    try:
+        sym = symbol.upper().replace("/", "")
+        ctx = ai_context_builder.build_request(sym, timeframe, limit)
+        metrics = ai_context_builder.build_metrics(sym, timeframe, ctx.price_data)
+        anchor_price = await price_anchor_service.get_anchor_price(sym)
+        return price_anchor_service.apply_anchor(metrics, anchor_price)
+    except ValueError as exc:
+        raise HTTPException(status_code=404, detail=str(exc))
+    except Exception as exc:
+        raise HTTPException(status_code=500, detail=f"Failed to compute position metrics: {exc}")