fix dash

core/enhanced_orchestrator.py

@@ -157,6 +157,13 @@ class EnhancedTradingOrchestrator(TradingOrchestrator):
         # Enhanced RL training flag
         self.enhanced_rl_training = enhanced_rl_training
         
+        # Missing attributes fix - Initialize position tracking and thresholds
+        self.current_positions = {}  # Track current positions by symbol
+        self.entry_threshold = 0.65   # Threshold for opening new positions
+        self.exit_threshold = 0.30    # Threshold for closing positions  
+        self.uninvested_threshold = 0.50  # Threshold below which to stay uninvested
+        self.last_signals = {}  # Track last signal for each symbol
+        
         # Enhanced state tracking
         self.latest_cob_features = {}  # Symbol -> COB features array
         self.latest_cob_state = {}     # Symbol -> COB state array
@@ -3455,4 +3462,29 @@ class EnhancedTradingOrchestrator(TradingOrchestrator):
         except Exception as e:
             logger.error(f"Error calculating enhanced pivot reward: {e}")
             # Fallback to simple PnL-based reward
-            return trade_outcome.get('net_pnl', 0) / 100.0
+            return trade_outcome.get('net_pnl', 0) / 100.0
+
+    def _get_current_position_side(self, symbol: str) -> str:
+        """Get current position side for a symbol"""
+        try:
+            position = self.current_positions.get(symbol)
+            if position is None:
+                return 'FLAT'
+            return position.get('side', 'FLAT')
+        except Exception as e:
+            logger.error(f"Error getting position side for {symbol}: {e}")
+            return 'FLAT'
+    
+    def _calculate_position_size(self, symbol: str, action: str, confidence: float) -> float:
+        """Calculate position size based on action and confidence"""
+        try:
+            # Base position size - could be made configurable
+            base_size = 0.01  # 0.01 BTC or ETH equivalent
+            
+            # Adjust size based on confidence
+            confidence_multiplier = min(confidence * 1.5, 2.0)  # Max 2x multiplier
+            
+            return base_size * confidence_multiplier
+        except Exception as e:
+            logger.error(f"Error calculating position size for {symbol}: {e}")
+            return 0.01  # Default small size