Migrate to yfinance and parallelize analysis

signal_aggregator.py

@@ -17,6 +17,7 @@ import logging
 from dataclasses import dataclass, field
 from datetime import datetime, timezone
 from typing import Dict, List, Optional
+import concurrent.futures
 
 import pandas as pd
 
@@ -124,13 +125,18 @@ class SignalAggregator:
         )
         self.data_provider.prefetch_batch(self.config.watch_pairs, all_timeframes)
 
-        for symbol in self.config.watch_pairs:
-            try:
-                report = self.analyze_pair(symbol, context)
-                reports.append(report)
-            except Exception as e:
-                logger.error(f"Failed to analyze {symbol}: {e}")
-                continue
+        with concurrent.futures.ThreadPoolExecutor(max_workers=min(32, len(self.config.watch_pairs) or 1)) as executor:
+            future_to_symbol = {
+                executor.submit(self.analyze_pair, symbol, context): symbol
+                for symbol in self.config.watch_pairs
+            }
+            for future in concurrent.futures.as_completed(future_to_symbol):
+                symbol = future_to_symbol[future]
+                try:
+                    report = future.result()
+                    reports.append(report)
+                except Exception as e:
+                    logger.error(f"Failed to analyze {symbol}: {e}")
 
         # Sort by absolute score (strongest signals first)
         reports.sort(key=lambda r: abs(r.final_score), reverse=True)