tweaks, try live trading

enhanced_realtime_training.py

@@ -1489,7 +1489,20 @@ class EnhancedRealtimeTrainingSystem:
             
             outputs = model(features_tensor)
             
-            loss = criterion(outputs, targets_tensor)
+            # Extract logits from model output (model returns a dictionary)
+            if isinstance(outputs, dict):
+                logits = outputs['logits']
+            elif isinstance(outputs, tuple):
+                logits = outputs[0]  # First element is usually logits
+            else:
+                logits = outputs
+            
+            # Ensure logits is a tensor
+            if not isinstance(logits, torch.Tensor):
+                logger.error(f"CNN output is not a tensor: {type(logits)}")
+                return 0.0
+            
+            loss = criterion(logits, targets_tensor)
             
             loss.backward()
             optimizer.step()