Optional numeric return head (predicts percent change for 1s,1m,1h,1d)

core/enhanced_reward_calculator.py

@@ -140,6 +140,7 @@ class EnhancedRewardCalculator:
                       symbol: str,
                       timeframe: TimeFrame,
                       predicted_price: float,
+                      predicted_return: Optional[float] = None,
                       predicted_direction: int,
                       confidence: float,
                       current_price: float,
@@ -171,6 +172,14 @@ class EnhancedRewardCalculator:
                 model_name=model_name
             )
             
+            # If predicted_return provided, prefer computing implied predicted_price
+            # to avoid synthetic price fabrication
+            try:
+                if predicted_return is not None and current_price > 0:
+                    prediction.predicted_price = current_price * (1.0 + float(predicted_return))
+            except Exception:
+                pass
+            
             # Store prediction
             if symbol not in self.predictions:
                 self._initialize_data_structures()