dynamic profitabiliy reward

core/trading_executor.py

@@ -176,13 +176,25 @@ class TradingExecutor:
         self.simulation_balance = self.trading_config.get('simulation_account_usd', 100.0)
         self.simulation_positions = {}  # symbol -> position data with real entry prices
         
-        # Trading fees configuration (0.1% for both open and close)
+        # Trading fees configuration (0.1% for both open and close - REVERTED TO NORMAL)
         self.trading_fees = {
             'open_fee_percent': 0.001,  # 0.1% fee when opening position
             'close_fee_percent': 0.001,  # 0.1% fee when closing position
             'total_round_trip_fee': 0.002  # 0.2% total for round trip
         }
         
+        # Dynamic profitability reward parameter - starts at 0, adjusts based on success rate
+        self.profitability_reward_multiplier = 0.0  # Starts at 0, can be increased
+        self.min_profitability_multiplier = 0.0     # Minimum value
+        self.max_profitability_multiplier = 2.0     # Maximum 2x multiplier
+        self.profitability_adjustment_step = 0.1    # Adjust by 0.1 each time
+        
+        # Success rate tracking for profitability adjustment
+        self.recent_trades_window = 20              # Look at last 20 trades
+        self.success_rate_increase_threshold = 0.60 # Increase multiplier if >60% success
+        self.success_rate_decrease_threshold = 0.51 # Decrease multiplier if <51% success
+        self.last_profitability_adjustment = datetime.now()
+        
         logger.info(f"TradingExecutor initialized - Trading: {self.trading_enabled}, Mode: {self.trading_mode}")
         logger.info(f"Simulation balance: ${self.simulation_balance:.2f}")
 
@@ -622,6 +634,83 @@ class TradingExecutor:
             logger.error(f"Error cancelling open orders for {symbol}: {e}")
             return 0
     
+    def _calculate_recent_success_rate(self) -> float:
+        """Calculate success rate of recent closed trades
+        
+        Returns:
+            float: Success rate (0.0 to 1.0) of recent trades
+        """
+        try:
+            if len(self.trade_records) < 5:  # Need at least 5 trades
+                return 0.0
+            
+            # Get recent trades (up to the window size)
+            recent_trades = self.trade_records[-self.recent_trades_window:]
+            
+            if not recent_trades:
+                return 0.0
+            
+            # Count winning trades (net PnL > 0)
+            winning_trades = sum(1 for trade in recent_trades if trade.net_pnl > 0)
+            success_rate = winning_trades / len(recent_trades)
+            
+            logger.debug(f"Recent success rate: {success_rate:.2%} ({winning_trades}/{len(recent_trades)} trades)")
+            return success_rate
+            
+        except Exception as e:
+            logger.error(f"Error calculating success rate: {e}")
+            return 0.0
+    
+    def _adjust_profitability_reward_multiplier(self):
+        """Adjust profitability reward multiplier based on recent success rate"""
+        try:
+            # Only adjust every 5 minutes to avoid too frequent changes
+            current_time = datetime.now()
+            time_since_last_adjustment = (current_time - self.last_profitability_adjustment).total_seconds()
+            
+            if time_since_last_adjustment < 300:  # 5 minutes
+                return
+            
+            success_rate = self._calculate_recent_success_rate()
+            
+            # Only adjust if we have enough trades
+            if len(self.trade_records) < 10:
+                return
+            
+            old_multiplier = self.profitability_reward_multiplier
+            
+            # Increase multiplier if success rate > 60%
+            if success_rate > self.success_rate_increase_threshold:
+                self.profitability_reward_multiplier = min(
+                    self.max_profitability_multiplier,
+                    self.profitability_reward_multiplier + self.profitability_adjustment_step
+                )
+                logger.info(f"🎯 SUCCESS RATE HIGH ({success_rate:.1%}) - Increased profitability multiplier: {old_multiplier:.1f} → {self.profitability_reward_multiplier:.1f}")
+            
+            # Decrease multiplier if success rate < 51%
+            elif success_rate < self.success_rate_decrease_threshold:
+                self.profitability_reward_multiplier = max(
+                    self.min_profitability_multiplier,
+                    self.profitability_reward_multiplier - self.profitability_adjustment_step
+                )
+                logger.info(f"⚠️ SUCCESS RATE LOW ({success_rate:.1%}) - Decreased profitability multiplier: {old_multiplier:.1f} → {self.profitability_reward_multiplier:.1f}")
+            
+            else:
+                logger.debug(f"Success rate {success_rate:.1%} in acceptable range - keeping multiplier at {self.profitability_reward_multiplier:.1f}")
+            
+            self.last_profitability_adjustment = current_time
+            
+        except Exception as e:
+            logger.error(f"Error adjusting profitability reward multiplier: {e}")
+    
+    def get_profitability_reward_multiplier(self) -> float:
+        """Get current profitability reward multiplier
+        
+        Returns:
+            float: Current profitability reward multiplier
+        """
+        return self.profitability_reward_multiplier
+    
     def _can_reenable_live_trading(self) -> bool:
         """Check if trading performance has improved enough to re-enable live trading
         
@@ -1198,7 +1287,11 @@ class TradingExecutor:
             )
             
             self.trade_history.append(trade_record)
+            self.trade_records.append(trade_record)  # Add to trade records for success rate tracking
             self.daily_loss += max(0, -pnl)  # Add to daily loss if negative
+            
+            # Adjust profitability reward multiplier based on recent performance
+            self._adjust_profitability_reward_multiplier()
 
             # Update consecutive losses
             if pnl < -0.001:  # A losing trade
@@ -1289,8 +1382,12 @@ class TradingExecutor:
                 )
                 
                 self.trade_history.append(trade_record)
+                self.trade_records.append(trade_record)  # Add to trade records for success rate tracking
                 self.daily_loss += max(0, -(pnl - fees))  # Add to daily loss if negative
                 
+                # Adjust profitability reward multiplier based on recent performance
+                self._adjust_profitability_reward_multiplier()
+                
                 # Update consecutive losses
                 if pnl < -0.001:  # A losing trade
                     self.consecutive_losses += 1
@@ -1356,7 +1453,11 @@ class TradingExecutor:
             )
             
             self.trade_history.append(trade_record)
+            self.trade_records.append(trade_record)  # Add to trade records for success rate tracking
             self.daily_loss += max(0, -pnl)  # Add to daily loss if negative
+            
+            # Adjust profitability reward multiplier based on recent performance
+            self._adjust_profitability_reward_multiplier()
 
             # Update consecutive losses
             if pnl < -0.001:  # A losing trade
@@ -1428,8 +1529,12 @@ class TradingExecutor:
                 )
                 
                 self.trade_history.append(trade_record)
+                self.trade_records.append(trade_record)  # Add to trade records for success rate tracking
                 self.daily_loss += max(0, -(pnl - fees))  # Add to daily loss if negative
                 
+                # Adjust profitability reward multiplier based on recent performance
+                self._adjust_profitability_reward_multiplier()
+                
                 # Update consecutive losses
                 if pnl < -0.001:  # A losing trade
                     self.consecutive_losses += 1