fixed model training

ANNOTATE/core/real_training_adapter.py

@@ -815,8 +815,8 @@ class RealTrainingAdapter:
                     continue
             
             if entry_index is None:
-                logger.warning(f"Could not find entry timestamp in market data")
-                return negative_samples
+                logger.debug(f"Could not find entry timestamp in market data - using first candle as entry")
+                entry_index = 0  # Use first candle if exact match not found
             
             # If exit not found, estimate it
             if exit_index is None:
@@ -1958,7 +1958,7 @@ class RealTrainingAdapter:
                                  'training_id': session.training_id
                              },
                             file_path=checkpoint_path,
-                            performance_score=float(avg_accuracy),  # Use accuracy as score
+                            file_size_mb=os.path.getsize(checkpoint_path) / (1024 * 1024) if os.path.exists(checkpoint_path) else 0.0,
                             is_active=True
                         )