diff --git a/core/orchestrator.py b/core/orchestrator.py
index dc1a124..be2fc9f 100644
--- a/core/orchestrator.py
+++ b/core/orchestrator.py
@@ -4581,6 +4581,9 @@ class TradingOrchestrator:
                     logger.debug(f"Skipping disabled model {pred.model_name} in decision making")
                     continue
                 
+                # DEBUG: Log individual model predictions
+                logger.debug(f"Model {pred.model_name}: {pred.action} (confidence: {pred.confidence:.3f})")
+                
                 # Get model weight
                 model_weight = self.model_weights.get(pred.model_name, 0.1)
 
@@ -4598,8 +4601,18 @@ class TradingOrchestrator:
 
             # Choose best action - safe way to handle max with key function
             if action_scores:
+                # Add small random component to break ties and prevent pure bias
+                import random
+                for action in action_scores:
+                    # Add tiny random noise (±0.001) to break exact ties
+                    action_scores[action] += random.uniform(-0.001, 0.001)
+                
                 best_action = max(action_scores.keys(), key=lambda k: action_scores[k])
                 best_confidence = action_scores[best_action]
+                
+                # DEBUG: Log action scores to understand bias
+                logger.debug(f"Action scores for {symbol}: BUY={action_scores['BUY']:.3f}, SELL={action_scores['SELL']:.3f}, HOLD={action_scores['HOLD']:.3f}")
+                logger.debug(f"Selected action: {best_action} (confidence: {best_confidence:.3f})")
             else:
                 best_action = "HOLD"
                 best_confidence = 0.0
diff --git a/web/clean_dashboard.py b/web/clean_dashboard.py
index 050805b..79cc643 100644
--- a/web/clean_dashboard.py
+++ b/web/clean_dashboard.py
@@ -2468,12 +2468,24 @@ class CleanTradingDashboard:
                 if not signal_price or signal_confidence is None or signal_confidence <= 0 or signal_action == 'HOLD':
                     continue
                     
+                # Extract source information from signal
+                signal_source = 'Unknown'
+                if hasattr(signal, 'reasoning') and signal.reasoning:
+                    models_used = signal.reasoning.get('models_used', [])
+                    if models_used:
+                        signal_source = ', '.join(models_used)
+                elif isinstance(signal, dict) and 'reasoning' in signal:
+                    models_used = signal['reasoning'].get('models_used', [])
+                    if models_used:
+                        signal_source = ', '.join(models_used)
+                
                 signal_data = {
                     'x': signal_time,
                     'y': signal_price,
                     'confidence': signal_confidence,
                     'executed': is_executed,
-                    'manual': is_manual
+                    'manual': is_manual,
+                    'source': signal_source
                 }
                     
                 if signal_action == 'BUY':
@@ -2507,8 +2519,9 @@ class CleanTradingDashboard:
                             hovertemplate="<b>BUY EXECUTED</b><br>" +
                                         "Price: $%{y:.2f}<br>" +
                                         "Time: %{x}<br>" +
-                                        "Confidence: %{customdata:.1%}<extra></extra>",
-                            customdata=[s['confidence'] for s in executed_buys]
+                                        "Confidence: %{customdata[0]:.1%}<br>" +
+                                        "Source: %{customdata[1]}<extra></extra>",
+                            customdata=[[s['confidence'], s.get('source', 'Unknown')] for s in executed_buys]
                         ),
                         row=row, col=1
                     )
@@ -2531,8 +2544,9 @@ class CleanTradingDashboard:
                             hovertemplate="<b>MANUAL BUY</b><br>" +
                                         "Price: $%{y:.2f}<br>" +
                                         "Time: %{x}<br>" +
-                                        "Confidence: %{customdata:.1%}<extra></extra>",
-                            customdata=[s['confidence'] for s in manual_buys]
+                                        "Confidence: %{customdata[0]:.1%}<br>" +
+                                        "Source: %{customdata[1]}<extra></extra>",
+                            customdata=[[s['confidence'], s.get('source', 'Manual')] for s in manual_buys]
                         ),
                         row=row, col=1
                     )
@@ -2555,8 +2569,9 @@ class CleanTradingDashboard:
                             hovertemplate="<b>ML BUY</b><br>" +
                                         "Price: $%{y:.2f}<br>" +
                                         "Time: %{x}<br>" +
-                                        "Confidence: %{customdata:.1%}<extra></extra>",
-                            customdata=[s['confidence'] for s in ml_buys]
+                                        "Confidence: %{customdata[0]:.1%}<br>" +
+                                        "Source: %{customdata[1]}<extra></extra>",
+                            customdata=[[s['confidence'], s.get('source', 'ML')] for s in ml_buys]
                         ),
                         row=row, col=1
                     )
@@ -2579,8 +2594,9 @@ class CleanTradingDashboard:
                             hovertemplate="<b>BUY SIGNAL</b><br>" +
                                         "Price: $%{y:.2f}<br>" +
                                         "Time: %{x}<br>" +
-                                        "Confidence: %{customdata:.1%}<extra></extra>",
-                            customdata=[s['confidence'] for s in pending_buys]
+                                        "Confidence: %{customdata[0]:.1%}<br>" +
+                                        "Source: %{customdata[1]}<extra></extra>",
+                            customdata=[[s['confidence'], s.get('source', 'Signal')] for s in pending_buys]
                         ),
                         row=row, col=1
                     )
@@ -2611,8 +2627,9 @@ class CleanTradingDashboard:
                             hovertemplate="<b>SELL EXECUTED</b><br>" +
                                         "Price: $%{y:.2f}<br>" +
                                         "Time: %{x}<br>" +
-                                        "Confidence: %{customdata:.1%}<extra></extra>",
-                            customdata=[s['confidence'] for s in executed_sells]
+                                        "Confidence: %{customdata[0]:.1%}<br>" +
+                                        "Source: %{customdata[1]}<extra></extra>",
+                            customdata=[[s['confidence'], s.get('source', 'Unknown')] for s in executed_sells]
                         ),
                         row=row, col=1
                     )
@@ -2635,8 +2652,9 @@ class CleanTradingDashboard:
                             hovertemplate="<b>MANUAL SELL</b><br>" +
                                         "Price: $%{y:.2f}<br>" +
                                         "Time: %{x}<br>" +
-                                        "Confidence: %{customdata:.1%}<extra></extra>",
-                            customdata=[s['confidence'] for s in manual_sells]
+                                        "Confidence: %{customdata[0]:.1%}<br>" +
+                                        "Source: %{customdata[1]}<extra></extra>",
+                            customdata=[[s['confidence'], s.get('source', 'Manual')] for s in manual_sells]
                         ),
                         row=row, col=1
                     )
@@ -2659,8 +2677,9 @@ class CleanTradingDashboard:
                             hovertemplate="<b>ML SELL</b><br>" +
                                         "Price: $%{y:.2f}<br>" +
                                         "Time: %{x}<br>" +
-                                        "Confidence: %{customdata:.1%}<extra></extra>",
-                            customdata=[s['confidence'] for s in ml_sells]
+                                        "Confidence: %{customdata[0]:.1%}<br>" +
+                                        "Source: %{customdata[1]}<extra></extra>",
+                            customdata=[[s['confidence'], s.get('source', 'ML')] for s in ml_sells]
                         ),
                         row=row, col=1
                     )
@@ -2683,8 +2702,9 @@ class CleanTradingDashboard:
                             hovertemplate="<b>SELL SIGNAL</b><br>" +
                                         "Price: $%{y:.2f}<br>" +
                                         "Time: %{x}<br>" +
-                                        "Confidence: %{customdata:.1%}<extra></extra>",
-                            customdata=[s['confidence'] for s in pending_sells]
+                                        "Confidence: %{customdata[0]:.1%}<br>" +
+                                        "Source: %{customdata[1]}<extra></extra>",
+                            customdata=[[s['confidence'], s.get('source', 'Signal')] for s in pending_sells]
                         ),
                         row=row, col=1
                     )