better error msgs

ANNOTATE/core/real_training_adapter.py

@@ -2456,9 +2456,14 @@ class RealTrainingAdapter:
                     yield batch
             
             total_batches = len(grouped_batches)
-            
+
             if total_batches == 0:
-                raise Exception("No valid training batches after conversion")
+                logger.warning("No valid training batches available - likely due to missing market data")
+                logger.warning("This can happen when historical data for required timeframes (1m, 1h, 1d) is not available")
+                logger.warning("Training will be skipped for this session")
+                session.status = 'completed'  # Mark as completed since we can't train without data
+                session.error = "No training data available"
+                return
             
             logger.info(f"    Ready to train on {total_batches} batches")
             logger.info(f"    Total samples: {total_samples}")