diff --git a/ANNOTATE/WEBSOCKET_LIVE_UPDATES.md b/ANNOTATE/WEBSOCKET_LIVE_UPDATES.md
new file mode 100644
index 0000000..e69de29
diff --git a/ANNOTATE/web/app.py b/ANNOTATE/web/app.py
index ec3c561..ea1e8cb 100644
--- a/ANNOTATE/web/app.py
+++ b/ANNOTATE/web/app.py
@@ -131,6 +131,23 @@ class AnnotationDashboard:
             static_folder='static'
         )
         
+        # Initialize SocketIO for WebSocket support
+        try:
+            from flask_socketio import SocketIO, emit
+            self.socketio = SocketIO(
+                self.server,
+                cors_allowed_origins="*",
+                async_mode='threading',
+                logger=False,
+                engineio_logger=False
+            )
+            self.has_socketio = True
+            logger.info("✅ SocketIO initialized for real-time updates")
+        except ImportError:
+            self.socketio = None
+            self.has_socketio = False
+            logger.warning("⚠️ flask-socketio not installed - live updates will use polling")
+        
         # Suppress werkzeug request logs (reduce noise from polling endpoints)
         werkzeug_logger = logging.getLogger('werkzeug')
         werkzeug_logger.setLevel(logging.WARNING)  # Only show warnings and errors, not INFO
@@ -556,8 +573,13 @@ class AnnotationDashboard:
         def index():
             """Main dashboard page - loads existing annotations"""
             try:
-                # Get all existing annotations
-                annotations = self.annotation_manager.get_annotations()
+                # Get symbols and timeframes from config
+                symbols = self.config.get('symbols', ['ETH/USDT', 'BTC/USDT'])
+                timeframes = self.config.get('timeframes', ['1s', '1m', '1h', '1d'])
+                current_symbol = symbols[0] if symbols else 'ETH/USDT'
+                
+                # Get annotations filtered by current symbol
+                annotations = self.annotation_manager.get_annotations(symbol=current_symbol)
                 
                 # Convert to serializable format
                 annotations_data = []
@@ -580,15 +602,11 @@ class AnnotationDashboard:
                         'created_at': ann_dict.get('created_at')
                     })
                 
-                logger.info(f"Loading dashboard with {len(annotations_data)} existing annotations")
-                
-                # Get symbols and timeframes from config
-                symbols = self.config.get('symbols', ['ETH/USDT', 'BTC/USDT'])
-                timeframes = self.config.get('timeframes', ['1s', '1m', '1h', '1d'])
+                logger.info(f"Loading dashboard with {len(annotations_data)} annotations for {current_symbol}")
                 
                 # Prepare template data
                 template_data = {
-                    'current_symbol': symbols[0] if symbols else 'ETH/USDT',  # Use first symbol as default
+                    'current_symbol': current_symbol,
                     'symbols': symbols,
                     'timeframes': timeframes,
                     'annotations': annotations_data
@@ -1112,6 +1130,52 @@ class AnnotationDashboard:
                     }
                 })
         
+        @self.server.route('/api/get-annotations', methods=['POST'])
+        def get_annotations_api():
+            """Get annotations filtered by symbol"""
+            try:
+                data = request.get_json()
+                symbol = data.get('symbol', 'ETH/USDT')
+                
+                # Get annotations for this symbol
+                annotations = self.annotation_manager.get_annotations(symbol=symbol)
+                
+                # Convert to serializable format
+                annotations_data = []
+                for ann in annotations:
+                    if hasattr(ann, '__dict__'):
+                        ann_dict = ann.__dict__
+                    else:
+                        ann_dict = ann
+                    
+                    annotations_data.append({
+                        'annotation_id': ann_dict.get('annotation_id'),
+                        'symbol': ann_dict.get('symbol'),
+                        'timeframe': ann_dict.get('timeframe'),
+                        'entry': ann_dict.get('entry'),
+                        'exit': ann_dict.get('exit'),
+                        'direction': ann_dict.get('direction'),
+                        'profit_loss_pct': ann_dict.get('profit_loss_pct'),
+                        'notes': ann_dict.get('notes', ''),
+                        'created_at': ann_dict.get('created_at')
+                    })
+                
+                logger.info(f"Returning {len(annotations_data)} annotations for {symbol}")
+                
+                return jsonify({
+                    'success': True,
+                    'annotations': annotations_data,
+                    'symbol': symbol,
+                    'count': len(annotations_data)
+                })
+                
+            except Exception as e:
+                logger.error(f"Error getting annotations: {e}")
+                return jsonify({
+                    'success': False,
+                    'error': str(e)
+                })
+        
         @self.server.route('/api/export-annotations', methods=['POST'])
         def export_annotations():
             """Export annotations to file"""
@@ -1158,17 +1222,20 @@ class AnnotationDashboard:
                 model_name = data['model_name']
                 annotation_ids = data.get('annotation_ids', [])
                 
-                # If no specific annotations provided, use all
+                # CRITICAL: Get current symbol to filter annotations
+                current_symbol = data.get('symbol', 'ETH/USDT')
+                
+                # If no specific annotations provided, use all for current symbol
                 if not annotation_ids:
-                    annotations = self.annotation_manager.get_annotations()
+                    annotations = self.annotation_manager.get_annotations(symbol=current_symbol)
                     annotation_ids = [
                         a.annotation_id if hasattr(a, 'annotation_id') else a.get('annotation_id')
                         for a in annotations
                     ]
+                    logger.info(f"Using all {len(annotation_ids)} annotations for {current_symbol}")
                 
                 # Load test cases from disk (they were auto-generated when annotations were saved)
-                # CRITICAL: Filter by current symbol to avoid cross-symbol training
-                current_symbol = data.get('symbol', 'ETH/USDT')
+                # Filter by current symbol to avoid cross-symbol training
                 all_test_cases = self.annotation_manager.get_all_test_cases(symbol=current_symbol)
                 
                 # Filter to selected annotations
@@ -1566,11 +1633,160 @@ class AnnotationDashboard:
                         'message': str(e)
                     }
                 })
+        
+        # WebSocket event handlers (if SocketIO is available)
+        if self.has_socketio:
+            self._setup_websocket_handlers()
+    
+    def _setup_websocket_handlers(self):
+        """Setup WebSocket event handlers for real-time updates"""
+        if not self.has_socketio:
+            return
+        
+        @self.socketio.on('connect')
+        def handle_connect():
+            """Handle client connection"""
+            logger.info(f"WebSocket client connected")
+            from flask_socketio import emit
+            emit('connection_response', {'status': 'connected', 'message': 'Connected to ANNOTATE live updates'})
+        
+        @self.socketio.on('disconnect')
+        def handle_disconnect():
+            """Handle client disconnection"""
+            logger.info(f"WebSocket client disconnected")
+        
+        @self.socketio.on('subscribe_live_updates')
+        def handle_subscribe(data):
+            """Subscribe to live chart and prediction updates"""
+            from flask_socketio import emit, join_room
+            symbol = data.get('symbol', 'ETH/USDT')
+            timeframe = data.get('timeframe', '1s')
+            room = f"{symbol}_{timeframe}"
+            
+            join_room(room)
+            logger.info(f"Client subscribed to live updates: {room}")
+            emit('subscription_confirmed', {'room': room, 'symbol': symbol, 'timeframe': timeframe})
+            
+            # Start live update thread if not already running
+            if not hasattr(self, '_live_update_thread') or not self._live_update_thread.is_alive():
+                self._start_live_update_thread()
+        
+        @self.socketio.on('request_prediction')
+        def handle_prediction_request(data):
+            """Handle manual prediction request"""
+            from flask_socketio import emit
+            try:
+                symbol = data.get('symbol', 'ETH/USDT')
+                timeframe = data.get('timeframe', '1s')
+                prediction_steps = data.get('prediction_steps', 1)
+                
+                # Get prediction from model
+                prediction = self._get_live_prediction(symbol, timeframe, prediction_steps)
+                
+                emit('prediction_update', prediction)
+            except Exception as e:
+                logger.error(f"Error handling prediction request: {e}")
+                emit('prediction_error', {'error': str(e)})
+    
+    def _start_live_update_thread(self):
+        """Start background thread for live updates"""
+        import threading
+        
+        def live_update_worker():
+            """Background worker for live updates"""
+            import time
+            from flask_socketio import emit
+            
+            logger.info("Live update thread started")
+            
+            while True:
+                try:
+                    # Get active rooms (symbol_timeframe combinations)
+                    # For now, update all subscribed clients every second
+                    
+                    # Get latest chart data
+                    if self.data_provider:
+                        for symbol in ['ETH/USDT', 'BTC/USDT']:  # TODO: Get from active subscriptions
+                            for timeframe in ['1s', '1m']:
+                                room = f"{symbol}_{timeframe}"
+                                
+                                # Get latest candle
+                                try:
+                                    candles = self.data_provider.get_ohlcv(symbol, timeframe, limit=1)
+                                    if candles and len(candles) > 0:
+                                        latest_candle = candles[-1]
+                                        
+                                        # Emit chart update
+                                        self.socketio.emit('chart_update', {
+                                            'symbol': symbol,
+                                            'timeframe': timeframe,
+                                            'candle': {
+                                                'timestamp': latest_candle.get('timestamp'),
+                                                'open': latest_candle.get('open'),
+                                                'high': latest_candle.get('high'),
+                                                'low': latest_candle.get('low'),
+                                                'close': latest_candle.get('close'),
+                                                'volume': latest_candle.get('volume')
+                                            }
+                                        }, room=room)
+                                        
+                                        # Get prediction if model is loaded
+                                        if self.orchestrator and hasattr(self.orchestrator, 'primary_transformer'):
+                                            prediction = self._get_live_prediction(symbol, timeframe, 1)
+                                            if prediction:
+                                                self.socketio.emit('prediction_update', prediction, room=room)
+                                
+                                except Exception as e:
+                                    logger.debug(f"Error getting data for {symbol} {timeframe}: {e}")
+                    
+                    time.sleep(1)  # Update every second
+                    
+                except Exception as e:
+                    logger.error(f"Error in live update thread: {e}")
+                    time.sleep(5)  # Wait longer on error
+        
+        self._live_update_thread = threading.Thread(target=live_update_worker, daemon=True)
+        self._live_update_thread.start()
+    
+    def _get_live_prediction(self, symbol: str, timeframe: str, prediction_steps: int = 1):
+        """Get live prediction from model"""
+        try:
+            if not self.orchestrator or not hasattr(self.orchestrator, 'primary_transformer'):
+                return None
+            
+            # Get recent candles for prediction
+            candles = self.data_provider.get_ohlcv(symbol, timeframe, limit=200)
+            if not candles or len(candles) < 200:
+                return None
+            
+            # TODO: Implement actual prediction logic
+            # For now, return placeholder
+            import random
+            
+            return {
+                'symbol': symbol,
+                'timeframe': timeframe,
+                'timestamp': datetime.now().isoformat(),
+                'action': random.choice(['BUY', 'SELL', 'HOLD']),
+                'confidence': random.uniform(0.6, 0.95),
+                'predicted_price': candles[-1].get('close', 0) * (1 + random.uniform(-0.01, 0.01)),
+                'prediction_steps': prediction_steps
+            }
+            
+        except Exception as e:
+            logger.error(f"Error getting live prediction: {e}")
+            return None
     
     def run(self, host='127.0.0.1', port=8051, debug=False):
         """Run the application"""
         logger.info(f"Starting Annotation Dashboard on http://{host}:{port}")
-        self.server.run(host=host, port=port, debug=debug)
+        
+        if self.has_socketio:
+            logger.info("✅ Running with WebSocket support (SocketIO)")
+            self.socketio.run(self.server, host=host, port=port, debug=debug, allow_unsafe_werkzeug=True)
+        else:
+            logger.warning("⚠️ Running without WebSocket support - install flask-socketio for live updates")
+            self.server.run(host=host, port=port, debug=debug)
 
 
 def main():
diff --git a/ANNOTATE/web/static/js/live_updates_ws.js b/ANNOTATE/web/static/js/live_updates_ws.js
new file mode 100644
index 0000000..f2a4468
--- /dev/null
+++ b/ANNOTATE/web/static/js/live_updates_ws.js
@@ -0,0 +1,243 @@
+/**
+ * WebSocket-based Live Updates for ANNOTATE
+ * Provides real-time chart updates and model predictions
+ */
+
+class LiveUpdatesWebSocket {
+    constructor() {
+        this.socket = null;
+        this.connected = false;
+        this.reconnectAttempts = 0;
+        this.maxReconnectAttempts = 5;
+        this.reconnectDelay = 1000; // Start with 1 second
+        this.subscriptions = new Set();
+        
+        // Callbacks
+        this.onChartUpdate = null;
+        this.onPredictionUpdate = null;
+        this.onConnectionChange = null;
+        
+        console.log('LiveUpdatesWebSocket initialized');
+    }
+    
+    connect() {
+        if (this.connected) {
+            console.log('Already connected to WebSocket');
+            return;
+        }
+        
+        try {
+            // Initialize SocketIO connection
+            this.socket = io({
+                transports: ['websocket', 'polling'],
+                upgrade: true,
+                rememberUpgrade: true
+            });
+            
+            this._setupEventHandlers();
+            console.log('Connecting to WebSocket...');
+            
+        } catch (error) {
+            console.error('Failed to initialize WebSocket:', error);
+            this._scheduleReconnect();
+        }
+    }
+    
+    _setupEventHandlers() {
+        // Connection events
+        this.socket.on('connect', () => {
+            console.log('✅ WebSocket connected');
+            this.connected = true;
+            this.reconnectAttempts = 0;
+            this.reconnectDelay = 1000;
+            
+            if (this.onConnectionChange) {
+                this.onConnectionChange(true);
+            }
+            
+            // Resubscribe to previous subscriptions
+            this.subscriptions.forEach(sub => {
+                this._subscribe(sub.symbol, sub.timeframe);
+            });
+        });
+        
+        this.socket.on('disconnect', () => {
+            console.log('❌ WebSocket disconnected');
+            this.connected = false;
+            
+            if (this.onConnectionChange) {
+                this.onConnectionChange(false);
+            }
+            
+            this._scheduleReconnect();
+        });
+        
+        this.socket.on('connection_response', (data) => {
+            console.log('Connection response:', data);
+        });
+        
+        this.socket.on('subscription_confirmed', (data) => {
+            console.log('Subscription confirmed:', data);
+        });
+        
+        // Data events
+        this.socket.on('chart_update', (data) => {
+            console.debug('Chart update received:', data);
+            if (this.onChartUpdate) {
+                this.onChartUpdate(data);
+            }
+        });
+        
+        this.socket.on('prediction_update', (data) => {
+            console.debug('Prediction update received:', data);
+            if (this.onPredictionUpdate) {
+                this.onPredictionUpdate(data);
+            }
+        });
+        
+        this.socket.on('prediction_error', (data) => {
+            console.error('Prediction error:', data);
+        });
+        
+        // Error events
+        this.socket.on('connect_error', (error) => {
+            console.error('WebSocket connection error:', error);
+            this._scheduleReconnect();
+        });
+        
+        this.socket.on('error', (error) => {
+            console.error('WebSocket error:', error);
+        });
+    }
+    
+    _scheduleReconnect() {
+        if (this.reconnectAttempts >= this.maxReconnectAttempts) {
+            console.error('Max reconnection attempts reached. Please refresh the page.');
+            return;
+        }
+        
+        this.reconnectAttempts++;
+        const delay = this.reconnectDelay * Math.pow(2, this.reconnectAttempts - 1); // Exponential backoff
+        
+        console.log(`Reconnecting in ${delay}ms (attempt ${this.reconnectAttempts}/${this.maxReconnectAttempts})...`);
+        
+        setTimeout(() => {
+            if (!this.connected) {
+                this.connect();
+            }
+        }, delay);
+    }
+    
+    subscribe(symbol, timeframe) {
+        this.subscriptions.add({ symbol, timeframe });
+        
+        if (this.connected) {
+            this._subscribe(symbol, timeframe);
+        }
+    }
+    
+    _subscribe(symbol, timeframe) {
+        if (!this.socket || !this.connected) {
+            console.warn('Cannot subscribe - not connected');
+            return;
+        }
+        
+        console.log(`Subscribing to live updates: ${symbol} ${timeframe}`);
+        this.socket.emit('subscribe_live_updates', {
+            symbol: symbol,
+            timeframe: timeframe
+        });
+    }
+    
+    requestPrediction(symbol, timeframe, predictionSteps = 1) {
+        if (!this.socket || !this.connected) {
+            console.warn('Cannot request prediction - not connected');
+            return;
+        }
+        
+        console.log(`Requesting prediction: ${symbol} ${timeframe} (${predictionSteps} steps)`);
+        this.socket.emit('request_prediction', {
+            symbol: symbol,
+            timeframe: timeframe,
+            prediction_steps: predictionSteps
+        });
+    }
+    
+    disconnect() {
+        if (this.socket) {
+            console.log('Disconnecting WebSocket...');
+            this.socket.disconnect();
+            this.socket = null;
+            this.connected = false;
+            this.subscriptions.clear();
+        }
+    }
+    
+    isConnected() {
+        return this.connected;
+    }
+}
+
+// Global instance
+window.liveUpdatesWS = null;
+
+// Initialize on page load
+document.addEventListener('DOMContentLoaded', function() {
+    // Check if SocketIO is available
+    if (typeof io === 'undefined') {
+        console.warn('⚠️ Socket.IO not loaded - live updates will not work');
+        console.warn('Add <script src="https://cdn.socket.io/4.5.4/socket.io.min.js"></script> to your HTML');
+        return;
+    }
+    
+    // Initialize WebSocket
+    window.liveUpdatesWS = new LiveUpdatesWebSocket();
+    
+    // Setup callbacks
+    window.liveUpdatesWS.onConnectionChange = function(connected) {
+        const statusElement = document.getElementById('ws-connection-status');
+        if (statusElement) {
+            if (connected) {
+                statusElement.innerHTML = '<span class="badge bg-success">🟢 Live</span>';
+            } else {
+                statusElement.innerHTML = '<span class="badge bg-danger">🔴 Disconnected</span>';
+            }
+        }
+    };
+    
+    window.liveUpdatesWS.onChartUpdate = function(data) {
+        // Update chart with new candle
+        if (window.appState && window.appState.chartManager) {
+            window.appState.chartManager.updateLatestCandle(data.symbol, data.timeframe, data.candle);
+        }
+    };
+    
+    window.liveUpdatesWS.onPredictionUpdate = function(data) {
+        // Update prediction display
+        if (typeof updatePredictionDisplay === 'function') {
+            updatePredictionDisplay(data);
+        }
+        
+        // Add to prediction history
+        if (typeof predictionHistory !== 'undefined') {
+            predictionHistory.unshift(data);
+            if (predictionHistory.length > 5) {
+                predictionHistory = predictionHistory.slice(0, 5);
+            }
+            if (typeof updatePredictionHistory === 'function') {
+                updatePredictionHistory();
+            }
+        }
+    };
+    
+    // Auto-connect
+    console.log('Auto-connecting to WebSocket...');
+    window.liveUpdatesWS.connect();
+});
+
+// Cleanup on page unload
+window.addEventListener('beforeunload', function() {
+    if (window.liveUpdatesWS) {
+        window.liveUpdatesWS.disconnect();
+    }
+});
diff --git a/ANNOTATE/web/templates/base_layout.html b/ANNOTATE/web/templates/base_layout.html
index 99e608c..fe9d662 100644
--- a/ANNOTATE/web/templates/base_layout.html
+++ b/ANNOTATE/web/templates/base_layout.html
@@ -36,6 +36,9 @@
                     <i class="fas fa-database"></i>
                     <span id="annotation-count">0</span> Annotations
                 </span>
+                <span class="nav-item text-light me-3" id="ws-connection-status">
+                    <span class="badge bg-secondary">⚪ Connecting...</span>
+                </span>
                 <span class="nav-item text-light">
                     <i class="fas fa-clock"></i>
                     <span id="current-time">--:--:--</span>
@@ -74,11 +77,15 @@
     <!-- jQuery (for convenience) -->
     <script src="https://code.jquery.com/jquery-3.6.0.min.js"></script>
     
+    <!-- Socket.IO for WebSocket support -->
+    <script src="https://cdn.socket.io/4.5.4/socket.io.min.js"></script>
+    
     <!-- Custom JavaScript with cache busting -->
     <script src="{{ url_for('static', filename='js/chart_manager.js') }}?v={{ range(1, 10000) | random }}"></script>
     <script src="{{ url_for('static', filename='js/annotation_manager.js') }}?v={{ range(1, 10000) | random }}"></script>
     <script src="{{ url_for('static', filename='js/time_navigator.js') }}?v={{ range(1, 10000) | random }}"></script>
     <script src="{{ url_for('static', filename='js/training_controller.js') }}?v={{ range(1, 10000) | random }}"></script>
+    <script src="{{ url_for('static', filename='js/live_updates_ws.js') }}?v={{ range(1, 10000) | random }}"></script>
     
     {% block extra_js %}{% endblock %}
     
diff --git a/ANNOTATE/web/templates/components/control_panel.html b/ANNOTATE/web/templates/components/control_panel.html
index 5f6cc0d..40f87fb 100644
--- a/ANNOTATE/web/templates/components/control_panel.html
+++ b/ANNOTATE/web/templates/components/control_panel.html
@@ -118,9 +118,52 @@
     // Symbol selection
     document.getElementById('symbol-select').addEventListener('change', function(e) {
         appState.currentSymbol = e.target.value;
+        
+        // Reload annotations for new symbol
+        reloadAnnotationsForSymbol(appState.currentSymbol);
+        
+        // Reload chart data
         loadInitialData();
     });
     
+    // Function to reload annotations when symbol changes
+    function reloadAnnotationsForSymbol(symbol) {
+        fetch('/api/get-annotations', {
+            method: 'POST',
+            headers: { 'Content-Type': 'application/json' },
+            body: JSON.stringify({ symbol: symbol })
+        })
+        .then(response => response.json())
+        .then(data => {
+            if (data.success) {
+                // Update app state with filtered annotations
+                appState.annotations = data.annotations;
+                
+                // Clear existing annotations from chart
+                if (appState.chartManager) {
+                    appState.chartManager.clearAllAnnotations();
+                    
+                    // Add new annotations to chart
+                    data.annotations.forEach(annotation => {
+                        appState.chartManager.addAnnotation(annotation);
+                    });
+                }
+                
+                // Update annotation list UI
+                if (typeof renderAnnotationsList === 'function') {
+                    renderAnnotationsList(appState.annotations);
+                }
+                
+                console.log(`Loaded ${data.count} annotations for ${symbol}`);
+            } else {
+                console.error('Failed to load annotations:', data.error);
+            }
+        })
+        .catch(error => {
+            console.error('Error loading annotations:', error);
+        });
+    }
+    
     // Timeframe checkboxes
     document.querySelectorAll('.form-check-input[id^="tf-"]').forEach(checkbox => {
         checkbox.addEventListener('change', function() {
diff --git a/ANNOTATE/web/templates/components/training_panel.html b/ANNOTATE/web/templates/components/training_panel.html
index d59acd9..cb69944 100644
--- a/ANNOTATE/web/templates/components/training_panel.html
+++ b/ANNOTATE/web/templates/components/training_panel.html
@@ -376,7 +376,8 @@
             headers: { 'Content-Type': 'application/json' },
             body: JSON.stringify({
                 model_name: modelName,
-                annotation_ids: annotationIds
+                annotation_ids: annotationIds,
+                symbol: appState.currentSymbol  // CRITICAL: Filter by current symbol
             })
         })
             .then(response => response.json())
@@ -568,6 +569,38 @@
             });
     });
 
+    function updatePredictionHistory() {
+        const historyDiv = document.getElementById('prediction-history');
+        if (predictionHistory.length === 0) {
+            historyDiv.innerHTML = '<div class="text-muted">No predictions yet...</div>';
+            return;
+        }
+        
+        // Display last 5 predictions (most recent first)
+        const html = predictionHistory.slice(0, 5).map(pred => {
+            const time = new Date(pred.timestamp).toLocaleTimeString();
+            const actionColor = pred.action === 'BUY' ? 'text-success' : 
+                               pred.action === 'SELL' ? 'text-danger' : 'text-secondary';
+            const confidence = (pred.confidence * 100).toFixed(1);
+            const price = pred.predicted_price ? pred.predicted_price.toFixed(2) : '--';
+            
+            return `
+                <div class="d-flex justify-content-between align-items-center mb-1 pb-1 border-bottom">
+                    <div>
+                        <span class="${actionColor} fw-bold">${pred.action}</span>
+                        <span class="text-muted ms-1">${time}</span>
+                    </div>
+                    <div class="text-end">
+                        <div>${confidence}%</div>
+                        <div class="text-muted" style="font-size: 0.65rem;">$${price}</div>
+                    </div>
+                </div>
+            `;
+        }).join('');
+        
+        historyDiv.innerHTML = html;
+    }
+    
     function startSignalPolling() {
         signalPollInterval = setInterval(function () {
             // Poll for signals
@@ -580,6 +613,18 @@
                         document.getElementById('latest-confidence').textContent =
                             (latest.confidence * 100).toFixed(1) + '%';
 
+                        // Add to prediction history (keep last 5)
+                        predictionHistory.unshift({
+                            timestamp: latest.timestamp || new Date().toISOString(),
+                            action: latest.action,
+                            confidence: latest.confidence,
+                            predicted_price: latest.predicted_price
+                        });
+                        if (predictionHistory.length > 5) {
+                            predictionHistory = predictionHistory.slice(0, 5);
+                        }
+                        updatePredictionHistory();
+
                         // Update chart with signal markers
                         if (appState.chartManager) {
                             displaySignalOnChart(latest);