Add explain analysis workflow and UI

backend/data/historical_price_manager.py

@@ -7,6 +7,7 @@ from datetime import datetime
 from typing import Callable, Dict, List, Optional
 
 import pandas as pd
+from backend.data.market_store import MarketStore
 from backend.data.provider_utils import normalize_symbol
 from backend.data.provider_router import get_provider_router
 
@@ -26,6 +27,7 @@ class HistoricalPriceManager:
         self.close_prices = {}
         self.running = False
         self._router = get_provider_router()
+        self._market_store = MarketStore()
 
     def subscribe(
         self,
@@ -58,21 +60,48 @@ class HistoricalPriceManager:
             logger.warning(f"Failed to load CSV for {symbol}: {e}")
             return None
 
+    def _load_from_market_db(
+        self,
+        symbol: str,
+        start_date: str,
+        end_date: str,
+    ) -> Optional[pd.DataFrame]:
+        """Load price data from the long-lived market research database."""
+        try:
+            rows = self._market_store.get_ohlc(symbol, start_date, end_date)
+            if not rows:
+                return None
+            df = pd.DataFrame(rows)
+            if df.empty or "date" not in df.columns:
+                return None
+            df["Date"] = pd.to_datetime(df["date"])
+            df.set_index("Date", inplace=True)
+            df.sort_index(inplace=True)
+            return df
+        except Exception as e:
+            logger.warning(f"Failed to load market DB data for {symbol}: {e}")
+            return None
+
     def preload_data(self, start_date: str, end_date: str):
-        """Preload historical data from local CSV files."""
+        """Preload historical data from market DB first, then local CSV."""
         logger.info(f"Preloading data: {start_date} to {end_date}")
 
         for symbol in self.subscribed_symbols:
             if symbol in self._price_cache:
                 continue
 
-            # Load from local CSV file directly
+            df = self._load_from_market_db(symbol, start_date, end_date)
+            if df is not None and not df.empty:
+                self._price_cache[symbol] = df
+                logger.info(f"Loaded {symbol} from market DB: {len(df)} records")
+                continue
+
             df = self._load_from_csv(symbol)
             if df is not None and not df.empty:
                 self._price_cache[symbol] = df
                 logger.info(f"Loaded {symbol} from CSV: {len(df)} records")
             else:
-                logger.warning(f"No CSV data for {symbol}")
+                logger.warning(f"No market DB or CSV data for {symbol}")
 
     def set_date(self, date: str):
         """Set current trading date and update prices"""