dynamic profitabiliy reward

core/orchestrator.py

@@ -1985,6 +1985,53 @@ class TradingOrchestrator:
         self.trading_executor = trading_executor
         logger.info("Trading executor set for position tracking and P&L feedback")
     
+    def get_profitability_reward_multiplier(self) -> float:
+        """Get the current profitability reward multiplier from trading executor
+        
+        Returns:
+            float: Current profitability reward multiplier (0.0 to 2.0)
+        """
+        try:
+            if self.trading_executor and hasattr(self.trading_executor, 'get_profitability_reward_multiplier'):
+                multiplier = self.trading_executor.get_profitability_reward_multiplier()
+                logger.debug(f"Current profitability reward multiplier: {multiplier:.2f}")
+                return multiplier
+            return 0.0
+        except Exception as e:
+            logger.error(f"Error getting profitability reward multiplier: {e}")
+            return 0.0
+    
+    def calculate_enhanced_reward(self, base_pnl: float, confidence: float = 1.0) -> float:
+        """Calculate enhanced reward with profitability multiplier
+        
+        Args:
+            base_pnl: Base P&L from the trade
+            confidence: Confidence level of the prediction (0.0 to 1.0)
+            
+        Returns:
+            float: Enhanced reward with profitability multiplier applied
+        """
+        try:
+            # Get the dynamic profitability multiplier
+            profitability_multiplier = self.get_profitability_reward_multiplier()
+            
+            # Base reward is the P&L
+            base_reward = base_pnl
+            
+            # Apply profitability multiplier only to positive P&L (profitable trades)
+            if base_pnl > 0 and profitability_multiplier > 0:
+                # Enhance profitable trades with the multiplier
+                enhanced_reward = base_pnl * (1.0 + profitability_multiplier)
+                logger.debug(f"Enhanced reward: ${base_pnl:.2f} → ${enhanced_reward:.2f} (multiplier: {profitability_multiplier:.2f})")
+                return enhanced_reward
+            else:
+                # No enhancement for losing trades or when multiplier is 0
+                return base_reward
+                
+        except Exception as e:
+            logger.error(f"Error calculating enhanced reward: {e}")
+            return base_pnl
+    
     def _check_signal_confirmation(self, symbol: str, signal_data: Dict) -> Optional[str]:
         """Check if we have enough signal confirmations for trend confirmation with rate limiting"""
         try: