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/services/metals/yfinance_provider.py

@@ -0,0 +1,71 @@
+from __future__ import annotations
+
+import asyncio
+from typing import List, Optional
+
+import pandas as pd
+import yfinance as yf
+
+from app.schemas.schemas import PriceData
+
+YA_SYMBOL = "XAUUSD=X"
+
+
+def _format_dataframe(df: pd.DataFrame) -> List[PriceData]:
+    rows: List[PriceData] = []
+    if df.empty:
+        return rows
+    df = df.dropna(subset=["Open", "High", "Low", "Close"])
+    for idx, row in df.iterrows():
+        timestamp = int(pd.Timestamp(idx).timestamp())
+        rows.append(
+            PriceData(
+                time=timestamp,
+                open=float(row["Open"]),
+                high=float(row["High"]),
+                low=float(row["Low"]),
+                close=float(row["Close"]),
+                volume=float(row.get("Volume", 0.0) or 0.0),
+            )
+        )
+    return rows
+
+
+async def fetch_yfinance_history(
+    symbol: str = YA_SYMBOL,
+    interval: str = "1m",
+    period: str = "1d",
+    start: Optional[str] = None,
+    end: Optional[str] = None,
+) -> List[PriceData]:
+    def _download() -> pd.DataFrame:
+        return yf.download(
+            symbol,
+            interval=interval,
+            period=None if start else period,
+            start=start,
+            end=end,
+            progress=False,
+            auto_adjust=False,
+            threads=False,
+        )
+
+    df = await asyncio.to_thread(_download)
+    return _format_dataframe(df)
+
+
+async def fetch_yfinance_quote(symbol: str = YA_SYMBOL) -> Optional[dict]:
+    rows = await fetch_yfinance_history(symbol=symbol, interval="1m", period="1d")
+    if not rows:
+        return None
+    latest = rows[-1]
+    previous = rows[-2] if len(rows) > 1 else latest
+    return {
+        "price": latest.close,
+        "previous_close": previous.close,
+        "high_24h": max(r.high for r in rows[-1440:]),
+        "low_24h": min(r.low for r in rows[-1440:]),
+        "volume": latest.volume or 0.0,
+        "updated_at": latest.time,
+        "rows": rows,
+    }