predictions display

ANNOTATE/web/app.py

@@ -2525,8 +2525,18 @@ class AnnotationDashboard:
                             if transformer_preds:
                                 # Convert any remaining tensors to Python types before JSON serialization
                                 transformer_pred = transformer_preds[-1].copy()
+                                
+                                # CRITICAL: Log prediction structure to debug missing predicted_candle
+                                logger.debug(f"Transformer prediction keys: {list(transformer_pred.keys())}")
+                                if 'predicted_candle' in transformer_pred:
+                                    logger.debug(f"predicted_candle timeframes: {list(transformer_pred['predicted_candle'].keys()) if isinstance(transformer_pred['predicted_candle'], dict) else 'not a dict'}")
+                                
                                 predictions['transformer'] = self._serialize_prediction(transformer_pred)
                                 
+                                # Verify predicted_candle is preserved after serialization
+                                if 'predicted_candle' not in predictions['transformer'] and 'predicted_candle' in transformer_pred:
+                                    logger.warning("predicted_candle was lost during serialization!")
+                        
                         if predictions:
                             response['prediction'] = predictions
                             

ANNOTATE/web/static/js/chart_manager.js

@@ -1021,7 +1021,8 @@ class ChartManager {
                     return close >= data.open[i] ? '#10b981' : '#ef4444';
                 });
 
-                // Prepare chart data
+                // CRITICAL: Prepare chart data with correct yaxis assignments
+                // Candlestick uses 'y' (price axis on top), Volume uses 'y2' (volume axis at bottom)
                 const chartData = [
                     {
                         x: data.timestamps,
@@ -1031,6 +1032,7 @@ class ChartManager {
                         close: data.close,
                         type: 'candlestick',
                         name: 'Price',
+                        yaxis: 'y',  // Explicitly set to price axis (top)
                         increasing: {
                             line: { color: '#10b981', width: 1 },
                             fillcolor: '#10b981'
@@ -1044,7 +1046,7 @@ class ChartManager {
                         x: data.timestamps,
                         y: data.volume,
                         type: 'bar',
-                        yaxis: 'y2',
+                        yaxis: 'y2',  // Explicitly set to volume axis (bottom)
                         name: 'Volume',
                         marker: {
                             color: volumeColors,
@@ -1183,16 +1185,109 @@ class ChartManager {
                     }
                 }
 
-                // Use Plotly.react for efficient updates
+                // CRITICAL FIX: Preserve existing layout (theme, yaxis domains, etc.) when updating
-                const update = {
+                const chart = this.charts[timeframe];
+                if (!chart) return;
+                
+                const plotElement = document.getElementById(plotId);
+                if (!plotElement || !plotElement._fullLayout) {
+                    // Chart not initialized yet, skip
+                    return;
+                }
+                
+                // Get current layout to preserve theme and settings
+                const currentLayout = plotElement._fullLayout;
+                const currentConfig = plotElement._fullConfig || {};
+                
+                // Preserve critical layout settings
+                const layoutUpdate = {
                     shapes: shapes,
-                    annotations: annotations
+                    annotations: annotations,
+                    // Preserve theme colors
+                    plot_bgcolor: currentLayout.plot_bgcolor || '#1f2937',
+                    paper_bgcolor: currentLayout.paper_bgcolor || '#1f2937',
+                    font: currentLayout.font || { color: '#f8f9fa', size: 11 },
+                    // CRITICAL: Preserve yaxis domains (price on top [0.3, 1], volume at bottom [0, 0.25])
+                    // This ensures charts don't get swapped
+                    yaxis: {
+                        domain: currentLayout.yaxis?.domain || [0.3, 1],  // Price chart on top
+                        title: currentLayout.yaxis?.title || { text: 'Price', font: { size: 10 } },
+                        gridcolor: currentLayout.yaxis?.gridcolor || '#374151',
+                        color: currentLayout.yaxis?.color || '#9ca3af',
+                        side: currentLayout.yaxis?.side || 'left'
+                    },
+                    yaxis2: {
+                        domain: currentLayout.yaxis2?.domain || [0, 0.25],  // Volume chart at bottom
+                        title: currentLayout.yaxis2?.title || { text: 'Volume', font: { size: 10 } },
+                        gridcolor: currentLayout.yaxis2?.gridcolor || '#374151',
+                        color: currentLayout.yaxis2?.color || '#9ca3af',
+                        showgrid: currentLayout.yaxis2?.showgrid !== undefined ? currentLayout.yaxis2.showgrid : false,
+                        side: currentLayout.yaxis2?.side || 'right'
+                    },
+                    // Preserve xaxis settings
+                    xaxis: {
+                        gridcolor: currentLayout.xaxis?.gridcolor || '#374151',
+                        color: currentLayout.xaxis?.color || '#9ca3af'
+                    }
                 };
-                Plotly.react(plotId, chartData, update);
+                
+                // Use Plotly.react with full layout to preserve theme and structure
+                Plotly.react(plotId, chartData, layoutUpdate, currentConfig).then(() => {
+                    // Restore predictions and signals after chart update
+                    if (this.predictions && this.predictions[timeframe]) {
+                        this.updatePredictions({ [timeframe]: this.predictions[timeframe] });
+                    }
+                    
+                    // Restore ghost candles if they exist
+                    if (this.ghostCandleHistory && this.ghostCandleHistory[timeframe]) {
+                        this.ghostCandleHistory[timeframe].forEach(ghost => {
+                            this._addGhostCandle(timeframe, ghost);
+                        });
+                    }
+                    
+                    // CRITICAL: Fetch latest predictions from API after refresh
+                    // This ensures predictions and signals are displayed even after refresh
+                    this._fetchAndRestorePredictions(timeframe);
+                });
             }
         });
     }
 
+    /**
+     * Fetch and restore predictions after chart refresh
+     */
+    _fetchAndRestorePredictions(timeframe) {
+        try {
+            // Fetch latest signals which include predictions
+            fetch('/api/realtime-inference/signals')
+                .then(response => response.json())
+                .then(data => {
+                    if (data.success && data.signals && data.signals.length > 0) {
+                        const latest = data.signals[0];
+                        
+                        // Update predictions if transformer prediction exists
+                        if (latest.predicted_candle && Object.keys(latest.predicted_candle).length > 0) {
+                            const predictions = {};
+                            predictions['transformer'] = latest;
+                            this.updatePredictions(predictions);
+                        }
+                        
+                        // Update signals on chart
+                        if (latest.action && ['BUY', 'SELL', 'HOLD'].includes(latest.action)) {
+                            if (typeof displaySignalOnChart === 'function') {
+                                displaySignalOnChart(latest);
+                            }
+                        }
+                    }
+                })
+                .catch(error => {
+                    console.debug('Could not fetch predictions after refresh:', error);
+                });
+        } catch (error) {
+            console.debug('Error fetching predictions:', error);
+        }
+    }
+
     /**
      * Add annotation to charts
      */
@@ -2643,6 +2738,13 @@ class ChartManager {
             
             // Add Transformer predictions (star markers with trend lines + ghost candles)
             if (predictions.transformer) {
+                console.log(`[updatePredictions] Processing transformer prediction:`, {
+                    action: predictions.transformer.action,
+                    confidence: predictions.transformer.confidence,
+                    has_predicted_candle: !!predictions.transformer.predicted_candle,
+                    predicted_candle_keys: predictions.transformer.predicted_candle ? Object.keys(predictions.transformer.predicted_candle) : []
+                });
+                
                 this._addTransformerPrediction(predictions.transformer, predictionShapes, predictionAnnotations);
                 
                 // Add trend vector visualization (shorter projection to avoid zoom issues)
@@ -2650,7 +2752,7 @@ class ChartManager {
                     this._addTrendPrediction(predictions.transformer.trend_vector, predictionShapes, predictionAnnotations);
                 }
                 
-                // Handle Predicted Candles
+                // Handle Predicted Candles (ghost candles)
                 if (predictions.transformer.predicted_candle) {
                     console.log(`[updatePredictions] predicted_candle data:`, predictions.transformer.predicted_candle);
                     const candleData = predictions.transformer.predicted_candle[timeframe];
@@ -2665,7 +2767,11 @@ class ChartManager {
                         let targetTimestamp;
                         
                         // Get the last real candle timestamp to ensure we predict the NEXT one
-                        const lastRealCandle = chart.data.timestamps[chart.data.timestamps.length - 1];
+                        // CRITICAL FIX: Use Plotly data structure (chartData[0].x for timestamps)
+                        const candlestickTrace = chartData[0]; // First trace is candlestick
+                        const lastRealCandle = candlestickTrace && candlestickTrace.x && candlestickTrace.x.length > 0 
+                            ? candlestickTrace.x[candlestickTrace.x.length - 1] 
+                            : null;
                         if (lastRealCandle) {
                             const lastCandleTime = new Date(lastRealCandle);
                             // Predict for the next candle period
@@ -2750,21 +2856,40 @@ class ChartManager {
                 // If we have a stored prediction that matches the CURRENT candle time, show it
                 if (this.lastPredictions && this.lastPredictions[timeframe]) {
                     const lastPred = this.lastPredictions[timeframe];
-                    const currentTimestamp = chart.data.timestamps[chart.data.timestamps.length - 1];
+                    // CRITICAL FIX: Use Plotly data structure for timestamps
+                    const candlestickTrace = chartData[0];
+                    const currentTimestamp = candlestickTrace && candlestickTrace.x && candlestickTrace.x.length > 0
+                        ? candlestickTrace.x[candlestickTrace.x.length - 1]
+                        : null;
                     
-                    // Compare timestamps (allow small diff for jitter)
+                    if (currentTimestamp) {
-                    if (Math.abs(new Date(lastPred.timestamp).getTime() - new Date(currentTimestamp).getTime()) < 1000) {
+                        // Compare timestamps (allow small diff for jitter)
-                        this._addShadowCandlePrediction(lastPred.candle, currentTimestamp, predictionTraces);
+                        if (Math.abs(new Date(lastPred.timestamp).getTime() - new Date(currentTimestamp).getTime()) < 1000) {
+                            this._addShadowCandlePrediction(lastPred.candle, currentTimestamp, predictionTraces);
+                        }
                     }
                 }
             }
             
             // Update chart layout with predictions
             if (predictionShapes.length > 0 || predictionAnnotations.length > 0) {
+                // CRITICAL FIX: Get layout from Plotly element, not chart object
+                const currentLayout = plotElement._fullLayout || {};
+                const existingShapes = currentLayout.shapes || [];
+                const existingAnnotations = currentLayout.annotations || [];
+                
+                // Merge new predictions with existing ones (avoid duplicates)
+                const allShapes = [...existingShapes, ...predictionShapes];
+                const allAnnotations = [...existingAnnotations, ...predictionAnnotations];
+                
                 Plotly.relayout(plotId, {
-                    shapes: [...(chart.layout.shapes || []), ...predictionShapes],
+                    shapes: allShapes,
-                    annotations: [...(chart.layout.annotations || []), ...predictionAnnotations]
+                    annotations: allAnnotations
                 });
+                
+                console.log(`[updatePredictions] Added ${predictionShapes.length} shapes and ${predictionAnnotations.length} annotations to ${timeframe} chart`);
+            } else {
+                console.debug(`[updatePredictions] No prediction shapes/annotations to add for ${timeframe}`);
             }
             
             // Add prediction traces (ghost candles)
@@ -3105,54 +3230,133 @@ class ChartManager {
     }
     
     _addTransformerPrediction(prediction, shapes, annotations) {
-        const timestamp = new Date(prediction.timestamp || Date.now());
+        // CRITICAL FIX: Get actual price from chart instead of using normalized prediction prices
-        const currentPrice = prediction.current_price || 0;
+        const timeframe = window.appState?.currentTimeframes?.[0] || '1m';
-        const predictedPrice = prediction.predicted_price || currentPrice;
+        const chart = this.charts[timeframe];
+        if (!chart) {
+            console.warn(`[Transformer Prediction] Chart not found for timeframe: ${timeframe}`);
+            return;
+        }
+        
+        // Get actual current price from the last candle on the chart
+        let actualCurrentPrice = 0;
+        const plotElement = document.getElementById(chart.plotId);
+        if (plotElement && plotElement.data && plotElement.data.length > 0) {
+            const candlestickTrace = plotElement.data[0]; // First trace is candlestick
+            if (candlestickTrace && candlestickTrace.close && candlestickTrace.close.length > 0) {
+                actualCurrentPrice = candlestickTrace.close[candlestickTrace.close.length - 1];
+            }
+        }
+        
+        // Fallback to prediction price if chart price not available (but check if it's normalized)
+        if (actualCurrentPrice === 0 || actualCurrentPrice < 1) {
+            // Price might be normalized, try to use prediction price
+            actualCurrentPrice = prediction.current_price || 0;
+            // If still looks normalized (< 1), we can't display it properly
+            if (actualCurrentPrice < 1) {
+                console.warn('[Transformer Prediction] Price appears normalized, cannot display on chart. Chart price:', actualCurrentPrice);
+                return;
+            }
+        }
+        
+        // CRITICAL FIX: Parse timestamp correctly (handle both ISO strings and Date objects)
+        let timestamp;
+        if (prediction.timestamp) {
+            if (typeof prediction.timestamp === 'string') {
+                // Handle various timestamp formats
+                timestamp = new Date(prediction.timestamp);
+                if (isNaN(timestamp.getTime())) {
+                    // Try parsing as GMT format
+                    timestamp = new Date(prediction.timestamp.replace('GMT', 'UTC'));
+                }
+            } else {
+                timestamp = new Date(prediction.timestamp);
+            }
+        } else {
+            timestamp = new Date();
+        }
+        
+        // Use current time if timestamp parsing failed
+        if (isNaN(timestamp.getTime())) {
+            timestamp = new Date();
+        }
         const confidence = prediction.confidence || 0;
         const priceChange = prediction.price_change || 0;
         const horizonMinutes = prediction.horizon_minutes || 10;
         
-        if (confidence < 0.3 || currentPrice === 0) return;
+        if (confidence < 0.3 || actualCurrentPrice === 0) return;
+        
+        // CRITICAL: Calculate predicted price from actual current price and price change
+        // priceChange is typically a percentage or ratio
+        let actualPredictedPrice;
+        if (prediction.predicted_price && prediction.predicted_price > 1) {
+            // Use predicted_price if it looks like actual price (not normalized)
+            actualPredictedPrice = prediction.predicted_price;
+        } else if (typeof priceChange === 'number') {
+            // Calculate from price change (could be percentage or ratio)
+            if (Math.abs(priceChange) > 10) {
+                // Looks like percentage (e.g., 1.0 = 1%)
+                actualPredictedPrice = actualCurrentPrice * (1 + priceChange / 100);
+            } else {
+                // Looks like ratio (e.g., 0.01 = 1%)
+                actualPredictedPrice = actualCurrentPrice * (1 + priceChange);
+            }
+        } else {
+            // Fallback: use action to determine direction
+            if (prediction.action === 'BUY') {
+                actualPredictedPrice = actualCurrentPrice * 1.01; // +1%
+            } else if (prediction.action === 'SELL') {
+                actualPredictedPrice = actualCurrentPrice * 0.99; // -1%
+            } else {
+                actualPredictedPrice = actualCurrentPrice; // HOLD
+            }
+        }
         
         // Calculate end time
         const endTime = new Date(timestamp.getTime() + horizonMinutes * 60 * 1000);
         
-        // Determine color based on price change
+        // Determine color based on action or price change
         let color;
-        if (priceChange > 0.5) {
+        if (prediction.action === 'BUY' || (priceChange > 0 && priceChange > 0.5)) {
-            color = 'rgba(0, 200, 255, 0.6)'; // Cyan for UP
+            color = 'rgba(0, 200, 255, 0.6)'; // Cyan for UP/BUY
-        } else if (priceChange < -0.5) {
+        } else if (prediction.action === 'SELL' || (priceChange < 0 && priceChange < -0.5)) {
-            color = 'rgba(255, 100, 0, 0.6)'; // Orange for DOWN
+            color = 'rgba(255, 100, 0, 0.6)'; // Orange for DOWN/SELL
         } else {
-            color = 'rgba(150, 150, 255, 0.5)'; // Light blue for STABLE
+            color = 'rgba(150, 150, 255, 0.5)'; // Light blue for STABLE/HOLD
         }
         
-        // Add trend line
+        // Add trend line from current price to predicted price
         shapes.push({
             type: 'line',
             x0: timestamp,
-            y0: currentPrice,
+            y0: actualCurrentPrice,
             x1: endTime,
-            y1: predictedPrice,
+            y1: actualPredictedPrice,
             line: {
                 color: color,
                 width: 2 + confidence * 2,
                 dash: 'dashdot'
-            }
+            },
+            layer: 'above'
         });
         
-        // Add star marker at target
+        // Add star marker at target with action label
+        const actionText = prediction.action === 'BUY' ? '▲' : prediction.action === 'SELL' ? '▼' : '★';
         annotations.push({
             x: endTime,
-            y: predictedPrice,
+            y: actualPredictedPrice,
-            text: '★',
+            text: `${actionText} ${(confidence * 100).toFixed(0)}%`,
             showarrow: false,
             font: {
-                size: 14 + confidence * 6,
+                size: 12 + confidence * 4,
                 color: color
             },
-            opacity: 0.6 + confidence * 0.4
+            bgcolor: 'rgba(31, 41, 55, 0.8)',
+            borderpad: 3,
+            opacity: 0.8 + confidence * 0.2
         });
+        
+        console.log(`[Transformer Prediction] Added prediction marker: ${prediction.action} @ ${actualCurrentPrice.toFixed(2)} -> ${actualPredictedPrice.toFixed(2)} (${(confidence * 100).toFixed(1)}% confidence)`);
     }
     
     /**

ANNOTATE/web/static/js/live_updates_polling.js

@@ -70,15 +70,31 @@ class LiveUpdatesPolling {
             .then(response => response.json())
             .then(data => {
                 if (data.success) {
-                    // Handle chart update
+                    // Handle chart update (even if null, predictions should still be processed)
                     if (data.chart_update && this.onChartUpdate) {
                         this.onChartUpdate(data.chart_update);
                     }
                     
-                    // Handle prediction update
+                    // CRITICAL FIX: Handle prediction update properly
+                    // data.prediction is already in format { transformer: {...}, dqn: {...}, cnn: {...} }
                     if (data.prediction && this.onPredictionUpdate) {
+                        // Log prediction data for debugging
+                        console.log('[Live Updates] Received prediction data:', {
+                            has_transformer: !!data.prediction.transformer,
+                            has_dqn: !!data.prediction.dqn,
+                            has_cnn: !!data.prediction.cnn,
+                            transformer_action: data.prediction.transformer?.action,
+                            transformer_confidence: data.prediction.transformer?.confidence,
+                            has_predicted_candle: !!data.prediction.transformer?.predicted_candle
+                        });
+                        
+                        // Pass the prediction object directly (it's already in the correct format)
                         this.onPredictionUpdate(data.prediction);
+                    } else if (!data.prediction) {
+                        console.debug('[Live Updates] No prediction data in response');
                     }
+                } else {
+                    console.debug('[Live Updates] Response not successful:', data);
                 }
             })
             .catch(error => {
@@ -148,24 +164,51 @@ document.addEventListener('DOMContentLoaded', function() {
     };
     
     window.liveUpdatesPolling.onPredictionUpdate = function(data) {
+        // CRITICAL FIX: data is already in format { transformer: {...}, dqn: {...}, cnn: {...} }
+        console.log('[Live Updates] Prediction received:', data);
+        
         // Update prediction visualization on charts
         if (window.appState && window.appState.chartManager) {
+            // Store predictions for later use
+            if (!window.appState.chartManager.predictions) {
+                window.appState.chartManager.predictions = {};
+            }
+            
+            // Update stored predictions
+            if (data.transformer) {
+                window.appState.chartManager.predictions['transformer'] = data.transformer;
+            }
+            if (data.dqn) {
+                window.appState.chartManager.predictions['dqn'] = data.dqn;
+            }
+            if (data.cnn) {
+                window.appState.chartManager.predictions['cnn'] = data.cnn;
+            }
+            
+            // Update charts with predictions
             window.appState.chartManager.updatePredictions(data);
         }
         
-        // Update prediction display
+        // Update prediction display in UI
         if (typeof updatePredictionDisplay === 'function') {
-            updatePredictionDisplay(data);
+            // updatePredictionDisplay expects a single prediction object, not the full data structure
+            // Pass the transformer prediction if available
+            if (data.transformer) {
+                updatePredictionDisplay(data.transformer);
+            }
         }
         
-        // Add to prediction history
+        // Add to prediction history (use transformer prediction if available)
         if (typeof predictionHistory !== 'undefined') {
-            predictionHistory.unshift(data);
+            const predictionToAdd = data.transformer || data.dqn || data.cnn || data;
-            if (predictionHistory.length > 5) {
+            if (predictionToAdd) {
-                predictionHistory = predictionHistory.slice(0, 5);
+                predictionHistory.unshift(predictionToAdd);
-            }
+                if (predictionHistory.length > 5) {
-            if (typeof updatePredictionHistory === 'function') {
+                    predictionHistory = predictionHistory.slice(0, 5);
-                updatePredictionHistory();
+                }
+                if (typeof updatePredictionHistory === 'function') {
+                    updatePredictionHistory();
+                }
             }
         }
     };