2478 lines
98 KiB
JavaScript
2478 lines
98 KiB
JavaScript
/**
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* ChartManager - Manages Plotly charts for multi-timeframe visualization
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*/
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class ChartManager {
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constructor(containerId, timeframes) {
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this.containerId = containerId;
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this.timeframes = timeframes;
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this.charts = {};
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this.annotations = {};
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this.syncedTime = null;
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this.updateTimers = {}; // Track auto-update timers
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this.autoUpdateEnabled = false; // Auto-update state
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this.liveMetricsOverlay = null; // Live metrics display overlay
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this.lastPredictionUpdate = {}; // Track last prediction update per timeframe
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this.predictionUpdateThrottle = 500; // Min ms between prediction updates
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this.lastPredictionHash = null; // Track if predictions actually changed
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console.log('ChartManager initialized with timeframes:', timeframes);
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}
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/**
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* Start auto-updating charts
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*/
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startAutoUpdate() {
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if (this.autoUpdateEnabled) {
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console.log('Auto-update already enabled');
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return;
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}
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this.autoUpdateEnabled = true;
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console.log('Starting chart auto-update...');
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// Update 1s chart every 1 second (was 2s) for live updates
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if (this.timeframes.includes('1s')) {
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this.updateTimers['1s'] = setInterval(() => {
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this.updateChartIncremental('1s');
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}, 1000); // 1 second
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}
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// Update 1m chart - every 1 second for live candle updates
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if (this.timeframes.includes('1m')) {
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// We can poll every second for live updates
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this.updateTimers['1m'] = setInterval(() => {
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this.updateChartIncremental('1m');
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}, 1000);
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}
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console.log('Auto-update enabled for:', Object.keys(this.updateTimers));
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}
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/**
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* Stop auto-updating charts
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*/
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stopAutoUpdate() {
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if (!this.autoUpdateEnabled) {
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return;
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}
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this.autoUpdateEnabled = false;
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// Clear all timers
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Object.values(this.updateTimers).forEach(timer => clearInterval(timer));
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this.updateTimers = {};
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console.log('Auto-update stopped');
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}
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/**
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* Update a single chart with fresh data
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*/
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async updateChart(timeframe) {
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try {
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const response = await fetch(`/api/chart-data?timeframe=${timeframe}&limit=1000`);
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if (!response.ok) {
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throw new Error(`HTTP ${response.status}`);
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}
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const data = await response.json();
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if (data.success && data.data && data.data[timeframe]) {
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const chartData = data.data[timeframe];
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const plotId = `plot-${timeframe}`;
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// Update chart using Plotly.react (efficient update)
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const candlestickUpdate = {
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x: [chartData.timestamps],
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open: [chartData.open],
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high: [chartData.high],
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low: [chartData.low],
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close: [chartData.close]
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};
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const volumeUpdate = {
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x: [chartData.timestamps],
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y: [chartData.volume]
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};
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Plotly.restyle(plotId, candlestickUpdate, [0]);
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Plotly.restyle(plotId, volumeUpdate, [1]);
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console.log(`Updated ${timeframe} chart at ${new Date().toLocaleTimeString()}`);
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}
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} catch (error) {
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console.error(`Error updating ${timeframe} chart:`, error);
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}
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}
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/**
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* Update chart incrementally by appending only new data
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* This is much lighter than full chart refresh
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*/
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async updateChartIncremental(timeframe) {
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const chart = this.charts[timeframe];
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if (!chart || !chart.data || !chart.data.timestamps || chart.data.timestamps.length === 0) {
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// Fallback to full update if no existing data
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return this.updateChart(timeframe);
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}
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try {
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const lastIdx = chart.data.timestamps.length - 1;
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const lastTimestamp = chart.data.timestamps[lastIdx];
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// Request overlap to ensure we capture updates to the last candle
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// Go back 2 intervals to be safe
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const lastTimeMs = new Date(lastTimestamp).getTime();
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let lookbackMs = 2000; // Default 2s
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if (timeframe === '1s') lookbackMs = 5000; // Increased lookback for 1s to prevent misses
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if (timeframe === '1m') lookbackMs = 120000;
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if (timeframe === '1h') lookbackMs = 7200000;
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const queryTime = new Date(lastTimeMs - lookbackMs).toISOString();
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// Fetch data starting from overlap point
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const response = await fetch('/api/chart-data', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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symbol: window.appState?.currentSymbol || 'ETH/USDT',
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timeframes: [timeframe],
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start_time: queryTime,
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limit: 50, // Small limit for incremental update
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direction: 'after'
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})
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});
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if (!response.ok) {
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throw new Error(`HTTP ${response.status}`);
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}
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const result = await response.json();
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if (result.success && result.chart_data && result.chart_data[timeframe]) {
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const newData = result.chart_data[timeframe];
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console.log(`[${timeframe}] Received ${newData.timestamps.length} candles from API`);
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if (newData.timestamps.length > 0) {
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console.log(`[${timeframe}] First: ${newData.timestamps[0]}, Last: ${newData.timestamps[newData.timestamps.length - 1]}`);
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}
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if (newData.timestamps.length > 0) {
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// Smart Merge:
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// We want to update any existing candles that have changed (live candle)
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// and append any new ones.
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// 1. Create map of new data for quick lookup
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const newMap = new Map();
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newData.timestamps.forEach((ts, i) => {
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newMap.set(ts, {
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open: newData.open[i],
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high: newData.high[i],
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low: newData.low[i],
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close: newData.close[i],
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volume: newData.volume[i]
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});
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});
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// Merge pivot markers
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if (newData.pivot_markers) {
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if (!chart.data.pivot_markers) {
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chart.data.pivot_markers = {};
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}
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Object.assign(chart.data.pivot_markers, newData.pivot_markers);
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}
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// 2. Update existing candles in place if they exist in new data
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// Iterate backwards to optimize for recent updates
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let updatesCount = 0;
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for (let i = chart.data.timestamps.length - 1; i >= 0; i--) {
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const ts = chart.data.timestamps[i];
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if (newMap.has(ts)) {
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const val = newMap.get(ts);
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chart.data.open[i] = val.open;
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chart.data.high[i] = val.high;
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chart.data.low[i] = val.low;
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chart.data.close[i] = val.close;
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chart.data.volume[i] = val.volume;
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newMap.delete(ts); // Remove from map so we know what remains is truly new
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updatesCount++;
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} else {
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// If we went back past the overlap window, stop
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if (new Date(ts).getTime() < new Date(newData.timestamps[0]).getTime()) break;
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}
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}
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// 3. Append remaining new candles
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// Convert map keys back to sorted arrays
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const remainingTimestamps = Array.from(newMap.keys()).sort();
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if (remainingTimestamps.length > 0) {
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remainingTimestamps.forEach(ts => {
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const val = newMap.get(ts);
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chart.data.timestamps.push(ts);
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chart.data.open.push(val.open);
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chart.data.high.push(val.high);
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chart.data.low.push(val.low);
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chart.data.close.push(val.close);
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chart.data.volume.push(val.volume);
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});
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}
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// 4. Recalculate and Redraw
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if (updatesCount > 0 || remainingTimestamps.length > 0) {
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console.log(`[${timeframe}] Chart update: ${updatesCount} updated, ${remainingTimestamps.length} new candles`);
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// Only recalculate pivots if we have NEW candles (not just updates to existing ones)
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// This prevents unnecessary pivot recalculation on every live candle update
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if (remainingTimestamps.length > 0) {
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this.recalculatePivots(timeframe, chart.data);
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}
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this.updateSingleChart(timeframe, chart.data);
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window.liveUpdateCount = (window.liveUpdateCount || 0) + 1;
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const counterEl = document.getElementById('live-updates-count') || document.getElementById('live-update-count');
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if (counterEl) {
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counterEl.textContent = window.liveUpdateCount + ' updates';
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}
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console.log(`[${timeframe}] Chart updated successfully. Total candles: ${chart.data.timestamps.length}`);
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} else {
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console.log(`[${timeframe}] No updates needed (no changes detected)`);
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}
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}
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}
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} catch (error) {
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console.error(`Error updating ${timeframe} chart incrementally:`, error);
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}
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}
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/**
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* Update latest candle on chart (for live updates)
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* Efficiently updates only the last candle or adds a new one
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*/
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updateLatestCandle(symbol, timeframe, candle) {
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try {
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const plotId = `plot-${timeframe}`;
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const plotElement = document.getElementById(plotId);
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if (!plotElement) {
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console.debug(`Chart ${plotId} not found for live update`);
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return;
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}
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// Get current chart data
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const chartData = Plotly.Plots.data(plotId);
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if (!chartData || chartData.length < 2) {
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console.debug(`Chart ${plotId} not initialized yet`);
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return;
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}
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const candlestickTrace = chartData[0];
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const volumeTrace = chartData[1];
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// Parse timestamp
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const candleTimestamp = new Date(candle.timestamp);
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// Check if this is updating the last candle or adding a new one
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const lastTimestamp = candlestickTrace.x[candlestickTrace.x.length - 1];
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const isNewCandle = !lastTimestamp || new Date(lastTimestamp).getTime() < candleTimestamp.getTime();
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if (isNewCandle) {
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// Add new candle using extendTraces (most efficient)
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Plotly.extendTraces(plotId, {
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x: [[candleTimestamp]],
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open: [[candle.open]],
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high: [[candle.high]],
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low: [[candle.low]],
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close: [[candle.close]]
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}, [0]);
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// Update volume color based on price direction
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const volumeColor = candle.close >= candle.open ? '#10b981' : '#ef4444';
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Plotly.extendTraces(plotId, {
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x: [[candleTimestamp]],
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y: [[candle.volume]],
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marker: { color: [[volumeColor]] }
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}, [1]);
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} else {
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// Update last candle using restyle - simpler approach for updating single point
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// We need to get the full arrays, modify last element, and send back
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// This is less efficient but more reliable for updates than complex index logic
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const x = candlestickTrace.x;
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const open = candlestickTrace.open;
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const high = candlestickTrace.high;
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const low = candlestickTrace.low;
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const close = candlestickTrace.close;
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const volume = volumeTrace.y;
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const colors = volumeTrace.marker.color;
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const lastIdx = x.length - 1;
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// Update local arrays
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x[lastIdx] = candleTimestamp;
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open[lastIdx] = candle.open;
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high[lastIdx] = candle.high;
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low[lastIdx] = candle.low;
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close[lastIdx] = candle.close;
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volume[lastIdx] = candle.volume;
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colors[lastIdx] = candle.close >= candle.open ? '#10b981' : '#ef4444';
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// Push updates to Plotly
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Plotly.restyle(plotId, {
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x: [x],
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open: [open],
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high: [high],
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low: [low],
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close: [close]
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}, [0]);
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Plotly.restyle(plotId, {
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x: [x],
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y: [volume],
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'marker.color': [colors]
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}, [1]);
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}
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console.debug(`Updated ${timeframe} chart with new candle at ${candleTimestamp.toISOString()}`);
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} catch (error) {
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console.error(`Error updating latest candle for ${timeframe}:`, error);
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}
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}
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/**
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* Initialize charts for all timeframes with pivot bounds
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*/
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initializeCharts(chartData, pivotBounds = null) {
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console.log('Initializing charts with data:', chartData);
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console.log('Pivot bounds:', pivotBounds);
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// Use requestAnimationFrame to batch chart creation
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let index = 0;
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const createNextChart = () => {
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if (index < this.timeframes.length) {
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const timeframe = this.timeframes[index];
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if (chartData[timeframe]) {
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this.createChart(timeframe, chartData[timeframe], pivotBounds);
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}
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index++;
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requestAnimationFrame(createNextChart);
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} else {
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// Enable crosshair after all charts are created
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this.enableCrosshair();
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}
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};
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requestAnimationFrame(createNextChart);
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}
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/**
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* Create a single chart for a timeframe
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*/
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createChart(timeframe, data, pivotBounds = null) {
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const plotId = `plot-${timeframe}`;
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const plotElement = document.getElementById(plotId);
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if (!plotElement) {
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console.error(`Plot element not found: ${plotId}`);
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return;
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}
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// Create candlestick trace
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const candlestickTrace = {
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x: data.timestamps,
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open: data.open,
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high: data.high,
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low: data.low,
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close: data.close,
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type: 'candlestick',
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name: 'Price',
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increasing: {
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line: { color: '#10b981', width: 1 },
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fillcolor: '#10b981'
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},
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decreasing: {
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line: { color: '#ef4444', width: 1 },
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fillcolor: '#ef4444'
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},
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xaxis: 'x',
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yaxis: 'y'
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};
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// Create volume trace with color based on price direction
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const volumeColors = data.close.map((close, i) => {
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if (i === 0) return '#3b82f6';
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return close >= data.open[i] ? '#10b981' : '#ef4444';
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});
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const volumeTrace = {
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x: data.timestamps,
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y: data.volume,
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type: 'bar',
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name: 'Volume',
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yaxis: 'y2',
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marker: {
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color: volumeColors,
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opacity: 0.3
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},
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hoverinfo: 'y'
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};
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const layout = {
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title: '',
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showlegend: false,
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xaxis: {
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rangeslider: { visible: false },
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gridcolor: '#374151',
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color: '#9ca3af',
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showgrid: true,
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zeroline: false,
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fixedrange: false
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},
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yaxis: {
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title: {
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text: 'Price (USD)',
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font: { size: 10 }
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},
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gridcolor: '#374151',
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color: '#9ca3af',
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showgrid: true,
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zeroline: false,
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domain: [0.3, 1],
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fixedrange: false, // Allow vertical scaling by dragging Y-axis
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autorange: true
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},
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yaxis2: {
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title: {
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text: 'Volume',
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font: { size: 10 }
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},
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gridcolor: '#374151',
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color: '#9ca3af',
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showgrid: false,
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zeroline: false,
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domain: [0, 0.25],
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fixedrange: false, // Allow vertical scaling
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autorange: true
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},
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plot_bgcolor: '#1f2937',
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paper_bgcolor: '#1f2937',
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font: { color: '#f8f9fa', size: 11 },
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margin: { l: 60, r: 20, t: 10, b: 40 },
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hovermode: 'x unified',
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dragmode: 'pan',
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// Performance optimizations
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autosize: true,
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staticPlot: false
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};
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const config = {
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responsive: true,
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displayModeBar: true,
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modeBarButtonsToRemove: ['lasso2d', 'select2d'], // Allow autoScale2d
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displaylogo: false,
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scrollZoom: true,
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// Enable vertical scaling by dragging Y-axis
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doubleClick: 'reset', // Double-click to reset zoom
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showAxisDragHandles: true, // Show drag handles on axes
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showAxisRangeEntryBoxes: true, // Allow manual range entry
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// Axis drag behavior
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editable: true, // Make axes editable
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edits: {
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axisTitleText: false,
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colorbarPosition: false,
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colorbarTitleText: false,
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legendPosition: false,
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legendText: false,
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shapePosition: true,
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annotationPosition: true,
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annotationTail: true,
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annotationText: false
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}
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};
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// Prepare chart data with pivot bounds
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const chartData = [candlestickTrace, volumeTrace];
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// Add pivot dots trace (trace index 2)
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const pivotDotsTrace = {
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x: [],
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y: [],
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text: [],
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marker: { color: [], size: [], symbol: [] },
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mode: 'markers',
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hoverinfo: 'text',
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showlegend: false,
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yaxis: 'y'
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};
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chartData.push(pivotDotsTrace);
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// Add pivot markers from chart data
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const shapes = [];
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const annotations = [];
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const pivotDots = { x: [], y: [], text: [], marker: { color: [], size: [], symbol: [] }, mode: 'markers', hoverinfo: 'text', showlegend: false };
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if (data.pivot_markers && Object.keys(data.pivot_markers).length > 0) {
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const xMin = data.timestamps[0];
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const xMax = data.timestamps[data.timestamps.length - 1];
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// Process each timestamp that has pivot markers
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Object.entries(data.pivot_markers).forEach(([timestamp, pivots]) => {
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// Process high pivots
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if (pivots.highs && pivots.highs.length > 0) {
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pivots.highs.forEach(pivot => {
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const color = this._getPivotColor(pivot.level, 'high');
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// Draw dot on the pivot candle (above the high)
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pivotDots.x.push(timestamp);
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pivotDots.y.push(pivot.price);
|
|
pivotDots.text.push(`L${pivot.level} High Pivot<br>Price: $${pivot.price.toFixed(2)}<br>Strength: ${(pivot.strength * 100).toFixed(0)}%`);
|
|
pivotDots.marker.color.push(color);
|
|
pivotDots.marker.size.push(this._getPivotMarkerSize(pivot.level));
|
|
pivotDots.marker.symbol.push('triangle-down');
|
|
|
|
// Draw horizontal line ONLY for last pivot of this level
|
|
if (pivot.is_last) {
|
|
shapes.push({
|
|
type: 'line',
|
|
x0: xMin,
|
|
y0: pivot.price,
|
|
x1: xMax,
|
|
y1: pivot.price,
|
|
line: {
|
|
color: color,
|
|
width: 1,
|
|
dash: 'dash'
|
|
},
|
|
layer: 'below'
|
|
});
|
|
|
|
// Add label for the level
|
|
annotations.push({
|
|
x: xMax,
|
|
y: pivot.price,
|
|
text: `L${pivot.level}H`,
|
|
showarrow: false,
|
|
xanchor: 'left',
|
|
font: {
|
|
size: 9,
|
|
color: color
|
|
},
|
|
bgcolor: '#1f2937',
|
|
borderpad: 2
|
|
});
|
|
}
|
|
});
|
|
}
|
|
|
|
// Process low pivots
|
|
if (pivots.lows && pivots.lows.length > 0) {
|
|
pivots.lows.forEach(pivot => {
|
|
const color = this._getPivotColor(pivot.level, 'low');
|
|
|
|
// Draw dot on the pivot candle (below the low)
|
|
pivotDots.x.push(timestamp);
|
|
pivotDots.y.push(pivot.price);
|
|
pivotDots.text.push(`L${pivot.level} Low Pivot<br>Price: $${pivot.price.toFixed(2)}<br>Strength: ${(pivot.strength * 100).toFixed(0)}%`);
|
|
pivotDots.marker.color.push(color);
|
|
pivotDots.marker.size.push(this._getPivotMarkerSize(pivot.level));
|
|
pivotDots.marker.symbol.push('triangle-up');
|
|
|
|
// Draw horizontal line ONLY for last pivot of this level
|
|
if (pivot.is_last) {
|
|
shapes.push({
|
|
type: 'line',
|
|
x0: xMin,
|
|
y0: pivot.price,
|
|
x1: xMax,
|
|
y1: pivot.price,
|
|
line: {
|
|
color: color,
|
|
width: 1,
|
|
dash: 'dash'
|
|
},
|
|
layer: 'below'
|
|
});
|
|
|
|
// Add label for the level
|
|
annotations.push({
|
|
x: xMax,
|
|
y: pivot.price,
|
|
text: `L${pivot.level}L`,
|
|
showarrow: false,
|
|
xanchor: 'left',
|
|
font: {
|
|
size: 9,
|
|
color: color
|
|
},
|
|
bgcolor: '#1f2937',
|
|
borderpad: 2
|
|
});
|
|
}
|
|
});
|
|
}
|
|
});
|
|
|
|
console.log(`Added ${shapes.length} pivot levels to ${timeframe} chart`);
|
|
}
|
|
|
|
// Populate pivot dots trace (trace index 2) with data
|
|
if (pivotDots.x.length > 0) {
|
|
pivotDotsTrace.x = pivotDots.x;
|
|
pivotDotsTrace.y = pivotDots.y;
|
|
pivotDotsTrace.text = pivotDots.text;
|
|
pivotDotsTrace.marker = pivotDots.marker;
|
|
}
|
|
|
|
// Add shapes and annotations to layout
|
|
if (shapes.length > 0) {
|
|
layout.shapes = shapes;
|
|
}
|
|
if (annotations.length > 0) {
|
|
layout.annotations = annotations;
|
|
}
|
|
|
|
// Use Plotly.react for better performance on updates
|
|
Plotly.newPlot(plotId, chartData, layout, config).then(() => {
|
|
// Optimize rendering after initial plot
|
|
plotElement._fullLayout._replotting = false;
|
|
});
|
|
|
|
// Store chart reference
|
|
this.charts[timeframe] = {
|
|
plotId: plotId,
|
|
data: data,
|
|
element: plotElement,
|
|
annotations: []
|
|
};
|
|
|
|
// Add click handler for chart and annotations
|
|
plotElement.on('plotly_click', (eventData) => {
|
|
// Check if this is an annotation click by looking at the clicked element
|
|
if (eventData.points && eventData.points.length > 0) {
|
|
const point = eventData.points[0];
|
|
// If it's a shape click (annotation line), try to find the annotation
|
|
if (point.data && point.data.name && point.data.name.startsWith('line_')) {
|
|
const annotationId = point.data.name.replace('line_', '');
|
|
console.log('Line annotation clicked:', annotationId);
|
|
this.handleAnnotationClick(annotationId, 'edit');
|
|
return; // Don't process as regular chart click
|
|
}
|
|
}
|
|
|
|
// Regular chart click for annotation marking
|
|
this.handleChartClick(timeframe, eventData);
|
|
});
|
|
|
|
// Add click handler for annotations
|
|
plotElement.on('plotly_clickannotation', (eventData) => {
|
|
console.log('=== plotly_clickannotation event fired ===');
|
|
console.log('Event data:', eventData);
|
|
console.log('Annotation:', eventData.annotation);
|
|
|
|
const annotationName = eventData.annotation.name;
|
|
console.log('Annotation name:', annotationName);
|
|
|
|
if (annotationName) {
|
|
const parts = annotationName.split('_');
|
|
const action = parts[0]; // 'entry', 'exit', or 'delete'
|
|
const annotationId = parts[1];
|
|
|
|
console.log(`Parsed - Action: ${action}, ID: ${annotationId}`);
|
|
|
|
if (action === 'delete') {
|
|
this.handleAnnotationClick(annotationId, 'delete');
|
|
} else {
|
|
this.handleAnnotationClick(annotationId, 'edit');
|
|
}
|
|
} else {
|
|
console.log('No annotation name found in click event');
|
|
}
|
|
});
|
|
|
|
// Add hover handler to update info
|
|
plotElement.on('plotly_hover', (eventData) => {
|
|
this.updateChartInfo(timeframe, eventData);
|
|
});
|
|
|
|
// Add relayout handler for infinite scroll (load more data when zooming/panning)
|
|
plotElement.on('plotly_relayout', (eventData) => {
|
|
this.handleChartRelayout(timeframe, eventData);
|
|
});
|
|
|
|
console.log(`Chart created for ${timeframe} with ${data.timestamps.length} candles`);
|
|
}
|
|
|
|
/**
|
|
* Handle chart click for annotation
|
|
*/
|
|
handleChartClick(timeframe, eventData) {
|
|
if (!eventData.points || eventData.points.length === 0) return;
|
|
|
|
const point = eventData.points[0];
|
|
|
|
// Get the actual price from candlestick data
|
|
let price;
|
|
if (point.data.type === 'candlestick') {
|
|
// For candlestick, use close price
|
|
price = point.data.close[point.pointIndex];
|
|
} else if (point.data.type === 'bar') {
|
|
// Skip volume bar clicks
|
|
return;
|
|
} else {
|
|
price = point.y;
|
|
}
|
|
|
|
const clickData = {
|
|
timeframe: timeframe,
|
|
timestamp: point.x,
|
|
price: price,
|
|
index: point.pointIndex
|
|
};
|
|
|
|
console.log('Chart clicked:', clickData);
|
|
|
|
// Trigger annotation manager
|
|
if (window.appState && window.appState.annotationManager) {
|
|
window.appState.annotationManager.handleChartClick(clickData);
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Update charts with new data including pivot levels
|
|
*/
|
|
updateCharts(newData, pivotBounds = null) {
|
|
Object.keys(newData).forEach(timeframe => {
|
|
if (this.charts[timeframe]) {
|
|
const plotId = this.charts[timeframe].plotId;
|
|
const data = newData[timeframe];
|
|
|
|
// Create volume colors
|
|
const volumeColors = data.close.map((close, i) => {
|
|
if (i === 0) return '#3b82f6';
|
|
return close >= data.open[i] ? '#10b981' : '#ef4444';
|
|
});
|
|
|
|
// Prepare chart data
|
|
const chartData = [
|
|
{
|
|
x: data.timestamps,
|
|
open: data.open,
|
|
high: data.high,
|
|
low: data.low,
|
|
close: data.close,
|
|
type: 'candlestick',
|
|
name: 'Price',
|
|
increasing: {
|
|
line: { color: '#10b981', width: 1 },
|
|
fillcolor: '#10b981'
|
|
},
|
|
decreasing: {
|
|
line: { color: '#ef4444', width: 1 },
|
|
fillcolor: '#ef4444'
|
|
}
|
|
},
|
|
{
|
|
x: data.timestamps,
|
|
y: data.volume,
|
|
type: 'bar',
|
|
yaxis: 'y2',
|
|
name: 'Volume',
|
|
marker: {
|
|
color: volumeColors,
|
|
opacity: 0.3
|
|
},
|
|
hoverinfo: 'y'
|
|
}
|
|
];
|
|
|
|
// Add pivot markers from chart data
|
|
const shapes = [];
|
|
const annotations = [];
|
|
const pivotDots = { x: [], y: [], text: [], marker: { color: [], size: [], symbol: [] }, mode: 'markers', hoverinfo: 'text', showlegend: false };
|
|
|
|
if (data.pivot_markers && Object.keys(data.pivot_markers).length > 0) {
|
|
const xMin = data.timestamps[0];
|
|
const xMax = data.timestamps[data.timestamps.length - 1];
|
|
|
|
// Process each timestamp that has pivot markers
|
|
Object.entries(data.pivot_markers).forEach(([timestamp, pivots]) => {
|
|
// Process high pivots
|
|
if (pivots.highs && pivots.highs.length > 0) {
|
|
pivots.highs.forEach(pivot => {
|
|
const color = this._getPivotColor(pivot.level, 'high');
|
|
|
|
// Draw dot on the pivot candle
|
|
pivotDots.x.push(timestamp);
|
|
pivotDots.y.push(pivot.price);
|
|
pivotDots.text.push(`L${pivot.level} High Pivot<br>Price: $${pivot.price.toFixed(2)}<br>Strength: ${(pivot.strength * 100).toFixed(0)}%`);
|
|
pivotDots.marker.color.push(color);
|
|
pivotDots.marker.size.push(this._getPivotMarkerSize(pivot.level));
|
|
pivotDots.marker.symbol.push('triangle-down');
|
|
|
|
// Draw horizontal line ONLY for last pivot
|
|
if (pivot.is_last) {
|
|
shapes.push({
|
|
type: 'line',
|
|
x0: xMin,
|
|
y0: pivot.price,
|
|
x1: xMax,
|
|
y1: pivot.price,
|
|
line: {
|
|
color: color,
|
|
width: 1,
|
|
dash: 'dash'
|
|
},
|
|
layer: 'below'
|
|
});
|
|
|
|
annotations.push({
|
|
x: xMax,
|
|
y: pivot.price,
|
|
text: `L${pivot.level}H`,
|
|
showarrow: false,
|
|
xanchor: 'left',
|
|
font: {
|
|
size: 9,
|
|
color: color
|
|
},
|
|
bgcolor: '#1f2937',
|
|
borderpad: 2
|
|
});
|
|
}
|
|
});
|
|
}
|
|
|
|
// Process low pivots
|
|
if (pivots.lows && pivots.lows.length > 0) {
|
|
pivots.lows.forEach(pivot => {
|
|
const color = this._getPivotColor(pivot.level, 'low');
|
|
|
|
// Draw dot on the pivot candle
|
|
pivotDots.x.push(timestamp);
|
|
pivotDots.y.push(pivot.price);
|
|
pivotDots.text.push(`L${pivot.level} Low Pivot<br>Price: $${pivot.price.toFixed(2)}<br>Strength: ${(pivot.strength * 100).toFixed(0)}%`);
|
|
pivotDots.marker.color.push(color);
|
|
pivotDots.marker.size.push(this._getPivotMarkerSize(pivot.level));
|
|
pivotDots.marker.symbol.push('triangle-up');
|
|
|
|
// Draw horizontal line ONLY for last pivot
|
|
if (pivot.is_last) {
|
|
shapes.push({
|
|
type: 'line',
|
|
x0: xMin,
|
|
y0: pivot.price,
|
|
x1: xMax,
|
|
y1: pivot.price,
|
|
line: {
|
|
color: color,
|
|
width: 1,
|
|
dash: 'dash'
|
|
},
|
|
layer: 'below'
|
|
});
|
|
|
|
annotations.push({
|
|
x: xMax,
|
|
y: pivot.price,
|
|
text: `L${pivot.level}L`,
|
|
showarrow: false,
|
|
xanchor: 'left',
|
|
font: {
|
|
size: 9,
|
|
color: color
|
|
},
|
|
bgcolor: '#1f2937',
|
|
borderpad: 2
|
|
});
|
|
}
|
|
});
|
|
}
|
|
});
|
|
|
|
// Add pivot dots trace if we have any
|
|
if (pivotDots.x.length > 0) {
|
|
chartData.push(pivotDots);
|
|
}
|
|
}
|
|
|
|
// Use Plotly.react for efficient updates
|
|
const update = {
|
|
shapes: shapes,
|
|
annotations: annotations
|
|
};
|
|
Plotly.react(plotId, chartData, update);
|
|
}
|
|
});
|
|
}
|
|
|
|
/**
|
|
* Add annotation to charts
|
|
*/
|
|
addAnnotation(annotation) {
|
|
console.log('Adding annotation to charts:', annotation);
|
|
|
|
// Store annotation
|
|
this.annotations[annotation.annotation_id] = annotation;
|
|
|
|
// Add markers to relevant timeframe chart
|
|
const timeframe = annotation.timeframe;
|
|
if (this.charts[timeframe]) {
|
|
// TODO: Add visual markers using Plotly annotations
|
|
this.updateChartAnnotations(timeframe);
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Remove annotation from charts
|
|
*/
|
|
removeAnnotation(annotationId) {
|
|
if (this.annotations[annotationId]) {
|
|
const annotation = this.annotations[annotationId];
|
|
delete this.annotations[annotationId];
|
|
|
|
// Update chart
|
|
if (this.charts[annotation.timeframe]) {
|
|
this.updateChartAnnotations(annotation.timeframe);
|
|
}
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Update chart annotations
|
|
*/
|
|
updateChartAnnotations(timeframe) {
|
|
const chart = this.charts[timeframe];
|
|
if (!chart) return;
|
|
|
|
// Get annotations for this timeframe
|
|
const timeframeAnnotations = Object.values(this.annotations)
|
|
.filter(ann => ann.timeframe === timeframe);
|
|
|
|
// Build Plotly annotations and shapes
|
|
const plotlyAnnotations = [];
|
|
const plotlyShapes = [];
|
|
|
|
timeframeAnnotations.forEach(ann => {
|
|
const entryTime = ann.entry.timestamp;
|
|
const exitTime = ann.exit.timestamp;
|
|
const entryPrice = ann.entry.price;
|
|
const exitPrice = ann.exit.price;
|
|
|
|
// Entry marker (clickable)
|
|
plotlyAnnotations.push({
|
|
x: entryTime,
|
|
y: entryPrice,
|
|
text: '▲',
|
|
showarrow: false,
|
|
font: {
|
|
size: 20,
|
|
color: ann.direction === 'LONG' ? '#10b981' : '#ef4444'
|
|
},
|
|
xanchor: 'center',
|
|
yanchor: 'bottom',
|
|
captureevents: true,
|
|
name: `entry_${ann.annotation_id}`
|
|
});
|
|
|
|
// Exit marker (clickable)
|
|
plotlyAnnotations.push({
|
|
x: exitTime,
|
|
y: exitPrice,
|
|
text: '▼',
|
|
showarrow: false,
|
|
font: {
|
|
size: 20,
|
|
color: ann.direction === 'LONG' ? '#10b981' : '#ef4444'
|
|
},
|
|
xanchor: 'center',
|
|
yanchor: 'top',
|
|
captureevents: true,
|
|
name: `exit_${ann.annotation_id}`
|
|
});
|
|
|
|
// P&L label with delete button
|
|
const midTime = new Date((new Date(entryTime).getTime() + new Date(exitTime).getTime()) / 2);
|
|
const midPrice = (entryPrice + exitPrice) / 2;
|
|
const pnlColor = ann.profit_loss_pct >= 0 ? '#10b981' : '#ef4444';
|
|
|
|
plotlyAnnotations.push({
|
|
x: midTime,
|
|
y: midPrice,
|
|
text: `${ann.profit_loss_pct >= 0 ? '+' : ''}${ann.profit_loss_pct.toFixed(2)}% 🗑️`,
|
|
showarrow: true,
|
|
arrowhead: 0,
|
|
ax: 0,
|
|
ay: -40,
|
|
font: {
|
|
size: 12,
|
|
color: pnlColor,
|
|
family: 'monospace'
|
|
},
|
|
bgcolor: '#1f2937',
|
|
bordercolor: pnlColor,
|
|
borderwidth: 1,
|
|
borderpad: 4,
|
|
captureevents: true,
|
|
name: `delete_${ann.annotation_id}`
|
|
});
|
|
|
|
// Connecting line (clickable for selection)
|
|
plotlyShapes.push({
|
|
type: 'line',
|
|
x0: entryTime,
|
|
y0: entryPrice,
|
|
x1: exitTime,
|
|
y1: exitPrice,
|
|
line: {
|
|
color: ann.direction === 'LONG' ? '#10b981' : '#ef4444',
|
|
width: 2,
|
|
dash: 'dash'
|
|
},
|
|
name: `line_${ann.annotation_id}`
|
|
});
|
|
});
|
|
|
|
// Get existing pivot annotations (they have specific names like L1H, L2L)
|
|
const existingLayout = chart.element.layout || {};
|
|
const existingAnnotations = existingLayout.annotations || [];
|
|
const pivotAnnotations = existingAnnotations.filter(ann =>
|
|
ann.text && ann.text.match(/^L\d+[HL]$/)
|
|
);
|
|
|
|
// Merge pivot annotations with trade annotations
|
|
const allAnnotations = [...pivotAnnotations, ...plotlyAnnotations];
|
|
|
|
// Get existing pivot shapes
|
|
const existingShapes = existingLayout.shapes || [];
|
|
const pivotShapes = existingShapes.filter(shape =>
|
|
shape.layer === 'below' && shape.line && shape.line.dash === 'dash'
|
|
);
|
|
|
|
// Merge pivot shapes with trade annotation shapes
|
|
const allShapes = [...pivotShapes, ...plotlyShapes];
|
|
|
|
// Update chart layout with merged annotations and shapes
|
|
Plotly.relayout(chart.plotId, {
|
|
annotations: allAnnotations,
|
|
shapes: allShapes
|
|
});
|
|
|
|
console.log(`Updated ${timeframeAnnotations.length} trade annotations for ${timeframe} (preserved ${pivotAnnotations.length} pivot annotations)`);
|
|
}
|
|
|
|
/**
|
|
* Handle annotation click for editing/deleting
|
|
*/
|
|
handleAnnotationClick(annotationId, action) {
|
|
console.log(`=== handleAnnotationClick called ===`);
|
|
console.log(` Action: ${action}`);
|
|
console.log(` Annotation ID: ${annotationId}`);
|
|
console.log(` window.deleteAnnotation type: ${typeof window.deleteAnnotation}`);
|
|
|
|
if (action === 'delete') {
|
|
console.log('Delete action confirmed, showing confirm dialog...');
|
|
if (confirm('Delete this annotation?')) {
|
|
console.log('User confirmed deletion');
|
|
if (window.deleteAnnotation) {
|
|
console.log('Calling window.deleteAnnotation...');
|
|
window.deleteAnnotation(annotationId);
|
|
} else {
|
|
console.error('window.deleteAnnotation is not available!');
|
|
alert('Delete function not available. Please refresh the page.');
|
|
}
|
|
} else {
|
|
console.log('User cancelled deletion');
|
|
}
|
|
} else if (action === 'edit') {
|
|
console.log('Edit action');
|
|
if (window.appState && window.appState.chartManager) {
|
|
window.appState.chartManager.editAnnotation(annotationId);
|
|
}
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Highlight annotation
|
|
*/
|
|
highlightAnnotation(annotationId) {
|
|
const annotation = this.annotations[annotationId];
|
|
if (!annotation) return;
|
|
|
|
const timeframe = annotation.timeframe;
|
|
const chart = this.charts[timeframe];
|
|
if (!chart) return;
|
|
|
|
// Flash the annotation by temporarily changing its color
|
|
const originalAnnotations = chart.element.layout.annotations || [];
|
|
const highlightedAnnotations = originalAnnotations.map(ann => {
|
|
// Create a copy with highlighted color
|
|
return {
|
|
...ann,
|
|
font: {
|
|
...ann.font,
|
|
color: '#fbbf24' // Yellow highlight
|
|
}
|
|
};
|
|
});
|
|
|
|
Plotly.relayout(chart.plotId, { annotations: highlightedAnnotations });
|
|
|
|
// Restore original colors after 1 second
|
|
setTimeout(() => {
|
|
this.updateChartAnnotations(timeframe);
|
|
}, 1000);
|
|
|
|
console.log('Highlighted annotation:', annotationId);
|
|
}
|
|
|
|
/**
|
|
* Edit annotation - allows moving entry/exit points
|
|
*/
|
|
editAnnotation(annotationId) {
|
|
const annotation = this.annotations[annotationId];
|
|
if (!annotation) return;
|
|
|
|
// Create a better edit dialog using Bootstrap modal
|
|
this.showEditDialog(annotationId, annotation);
|
|
}
|
|
|
|
/**
|
|
* Show edit dialog for annotation
|
|
*/
|
|
showEditDialog(annotationId, annotation) {
|
|
// Create modal HTML
|
|
const modalHtml = `
|
|
<div class="modal fade" id="editAnnotationModal" tabindex="-1">
|
|
<div class="modal-dialog">
|
|
<div class="modal-content">
|
|
<div class="modal-header">
|
|
<h5 class="modal-title">Edit Annotation</h5>
|
|
<button type="button" class="btn-close" data-bs-dismiss="modal"></button>
|
|
</div>
|
|
<div class="modal-body">
|
|
<div class="mb-3">
|
|
<strong>Current Annotation:</strong>
|
|
<div class="mt-2">
|
|
<div class="row">
|
|
<div class="col-6">
|
|
<small class="text-muted">Entry:</small><br>
|
|
<span class="badge bg-success">▲</span>
|
|
${new Date(annotation.entry.timestamp).toLocaleString()}<br>
|
|
<small>$${annotation.entry.price.toFixed(2)}</small>
|
|
</div>
|
|
<div class="col-6">
|
|
<small class="text-muted">Exit:</small><br>
|
|
<span class="badge bg-danger">▼</span>
|
|
${new Date(annotation.exit.timestamp).toLocaleString()}<br>
|
|
<small>$${annotation.exit.price.toFixed(2)}</small>
|
|
</div>
|
|
</div>
|
|
<div class="mt-2">
|
|
<small class="text-muted">P&L:</small>
|
|
<span class="badge ${annotation.profit_loss_pct >= 0 ? 'bg-success' : 'bg-danger'}">
|
|
${annotation.profit_loss_pct >= 0 ? '+' : ''}${annotation.profit_loss_pct.toFixed(2)}%
|
|
</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="mb-3">
|
|
<label class="form-label">What would you like to edit?</label>
|
|
<div class="btn-group w-100" role="group">
|
|
<button type="button" class="btn btn-outline-primary" id="edit-entry-btn">
|
|
<i class="fas fa-arrow-up"></i> Move Entry
|
|
</button>
|
|
<button type="button" class="btn btn-outline-primary" id="edit-exit-btn">
|
|
<i class="fas fa-arrow-down"></i> Move Exit
|
|
</button>
|
|
<button type="button" class="btn btn-outline-danger" id="delete-annotation-btn">
|
|
<i class="fas fa-trash"></i> Delete
|
|
</button>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="modal-footer">
|
|
<button type="button" class="btn btn-secondary" data-bs-dismiss="modal">Cancel</button>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
`;
|
|
|
|
// Remove existing modal if any
|
|
const existingModal = document.getElementById('editAnnotationModal');
|
|
if (existingModal) {
|
|
existingModal.remove();
|
|
}
|
|
|
|
// Add modal to page
|
|
document.body.insertAdjacentHTML('beforeend', modalHtml);
|
|
|
|
// Show modal
|
|
const modal = new bootstrap.Modal(document.getElementById('editAnnotationModal'));
|
|
modal.show();
|
|
|
|
// Add event listeners
|
|
document.getElementById('edit-entry-btn').addEventListener('click', () => {
|
|
modal.hide();
|
|
this.startEditMode(annotationId, annotation, 'entry');
|
|
});
|
|
|
|
document.getElementById('edit-exit-btn').addEventListener('click', () => {
|
|
modal.hide();
|
|
this.startEditMode(annotationId, annotation, 'exit');
|
|
});
|
|
|
|
document.getElementById('delete-annotation-btn').addEventListener('click', () => {
|
|
modal.hide();
|
|
this.handleAnnotationClick(annotationId, 'delete');
|
|
});
|
|
|
|
// Clean up modal when hidden
|
|
document.getElementById('editAnnotationModal').addEventListener('hidden.bs.modal', () => {
|
|
document.getElementById('editAnnotationModal').remove();
|
|
});
|
|
}
|
|
|
|
/**
|
|
* Start edit mode for annotation
|
|
*/
|
|
startEditMode(annotationId, annotation, editMode) {
|
|
const message = editMode === 'entry' ? 'Click on chart to set new entry point' : 'Click on chart to set new exit point';
|
|
window.showSuccess(message);
|
|
|
|
// Store annotation for editing
|
|
if (window.appState && window.appState.annotationManager) {
|
|
window.appState.annotationManager.editingAnnotation = {
|
|
annotation_id: annotationId,
|
|
original: annotation,
|
|
editMode: editMode
|
|
};
|
|
|
|
// Remove current annotation from display
|
|
this.removeAnnotation(annotationId);
|
|
|
|
// Show reference marker
|
|
const chart = this.charts[annotation.timeframe];
|
|
if (chart) {
|
|
const referencePoint = editMode === 'entry' ? annotation.exit : annotation.entry;
|
|
const markerText = editMode === 'entry' ? '▼ (exit)' : '▲ (entry)';
|
|
const arrowDirection = editMode === 'entry' ? 40 : -40;
|
|
|
|
Plotly.relayout(chart.plotId, {
|
|
annotations: [{
|
|
x: referencePoint.timestamp,
|
|
y: referencePoint.price,
|
|
text: markerText,
|
|
showarrow: true,
|
|
arrowhead: 2,
|
|
ax: 0,
|
|
ay: arrowDirection,
|
|
font: { size: 14, color: '#9ca3af' },
|
|
bgcolor: 'rgba(31, 41, 55, 0.8)',
|
|
borderpad: 4
|
|
}]
|
|
});
|
|
}
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Clear all annotations from charts
|
|
*/
|
|
clearAllAnnotations() {
|
|
console.log('Clearing all annotations from charts');
|
|
|
|
// Clear from memory
|
|
this.annotations = {};
|
|
|
|
// Update all charts
|
|
Object.keys(this.charts).forEach(timeframe => {
|
|
this.updateChartAnnotations(timeframe);
|
|
});
|
|
|
|
console.log('All annotations cleared from charts');
|
|
}
|
|
|
|
/**
|
|
* Update chart layout when charts are minimized/maximized
|
|
*/
|
|
updateChartLayout() {
|
|
const chartContainer = document.getElementById('chart-container');
|
|
const visibleCharts = document.querySelectorAll('.timeframe-chart:not(.minimized)');
|
|
const minimizedCharts = document.querySelectorAll('.timeframe-chart.minimized');
|
|
|
|
// Remove scroll if all charts are visible or if some are minimized
|
|
if (minimizedCharts.length > 0) {
|
|
chartContainer.classList.add('no-scroll');
|
|
|
|
// Calculate available height for visible charts
|
|
const containerHeight = chartContainer.clientHeight;
|
|
const headerHeight = 50; // Approximate header height
|
|
const availableHeight = containerHeight - (visibleCharts.length * headerHeight);
|
|
const chartHeight = Math.max(200, availableHeight / visibleCharts.length);
|
|
|
|
// Update visible chart heights
|
|
visibleCharts.forEach(chart => {
|
|
const plotElement = chart.querySelector('.chart-plot');
|
|
if (plotElement) {
|
|
plotElement.style.height = `${chartHeight}px`;
|
|
|
|
// Trigger Plotly resize
|
|
const plotId = plotElement.id;
|
|
if (plotId) {
|
|
Plotly.Plots.resize(plotId);
|
|
}
|
|
}
|
|
});
|
|
} else {
|
|
chartContainer.classList.remove('no-scroll');
|
|
|
|
// Reset to default heights
|
|
visibleCharts.forEach(chart => {
|
|
const plotElement = chart.querySelector('.chart-plot');
|
|
if (plotElement) {
|
|
plotElement.style.height = '300px';
|
|
|
|
// Trigger Plotly resize
|
|
const plotId = plotElement.id;
|
|
if (plotId) {
|
|
Plotly.Plots.resize(plotId);
|
|
}
|
|
}
|
|
});
|
|
}
|
|
|
|
console.log(`Updated chart layout: ${visibleCharts.length} visible, ${minimizedCharts.length} minimized`);
|
|
}
|
|
|
|
/**
|
|
* Get color for pivot level
|
|
*/
|
|
_getPivotColor(level, type) {
|
|
// Different colors for different levels
|
|
const highColors = ['#dc3545', '#ff6b6b', '#ff8787', '#ffa8a8', '#ffc9c9'];
|
|
const lowColors = ['#28a745', '#51cf66', '#69db7c', '#8ce99a', '#b2f2bb'];
|
|
|
|
const colors = type === 'high' ? highColors : lowColors;
|
|
return colors[Math.min(level - 1, colors.length - 1)];
|
|
}
|
|
|
|
/**
|
|
* Get marker size for pivot level
|
|
* L1 = smallest (6px), L5 = largest (14px)
|
|
*/
|
|
_getPivotMarkerSize(level) {
|
|
const sizes = [6, 8, 10, 12, 14]; // L1 to L5
|
|
return sizes[Math.min(level - 1, sizes.length - 1)];
|
|
}
|
|
|
|
/**
|
|
* Enable crosshair cursor
|
|
*/
|
|
enableCrosshair() {
|
|
// Crosshair is enabled via hovermode in layout
|
|
console.log('Crosshair enabled');
|
|
}
|
|
|
|
/**
|
|
* Handle zoom
|
|
*/
|
|
handleZoom(zoomFactor) {
|
|
Object.values(this.charts).forEach(chart => {
|
|
Plotly.relayout(chart.plotId, {
|
|
'xaxis.range[0]': null,
|
|
'xaxis.range[1]': null
|
|
});
|
|
});
|
|
}
|
|
|
|
/**
|
|
* Reset zoom
|
|
*/
|
|
resetZoom() {
|
|
Object.values(this.charts).forEach(chart => {
|
|
Plotly.relayout(chart.plotId, {
|
|
'xaxis.autorange': true,
|
|
'yaxis.autorange': true
|
|
});
|
|
});
|
|
}
|
|
|
|
/**
|
|
* Synchronize time navigation across charts
|
|
*/
|
|
syncTimeNavigation(timestamp) {
|
|
this.syncedTime = timestamp;
|
|
|
|
// Update all charts to center on this timestamp
|
|
Object.values(this.charts).forEach(chart => {
|
|
const data = chart.data;
|
|
const timestamps = data.timestamps;
|
|
|
|
// Find index closest to target timestamp
|
|
const targetTime = new Date(timestamp);
|
|
let closestIndex = 0;
|
|
let minDiff = Infinity;
|
|
|
|
timestamps.forEach((ts, i) => {
|
|
const diff = Math.abs(new Date(ts) - targetTime);
|
|
if (diff < minDiff) {
|
|
minDiff = diff;
|
|
closestIndex = i;
|
|
}
|
|
});
|
|
|
|
// Center the view on this index
|
|
const rangeSize = 100; // Show 100 candles
|
|
const startIndex = Math.max(0, closestIndex - rangeSize / 2);
|
|
const endIndex = Math.min(timestamps.length - 1, closestIndex + rangeSize / 2);
|
|
|
|
Plotly.relayout(chart.plotId, {
|
|
'xaxis.range': [timestamps[startIndex], timestamps[endIndex]]
|
|
});
|
|
});
|
|
|
|
console.log('Synced charts to timestamp:', timestamp);
|
|
}
|
|
|
|
/**
|
|
* Update chart info display on hover
|
|
*/
|
|
updateChartInfo(timeframe, eventData) {
|
|
if (!eventData.points || eventData.points.length === 0) return;
|
|
|
|
const point = eventData.points[0];
|
|
const infoElement = document.getElementById(`info-${timeframe}`);
|
|
|
|
if (infoElement && point.data.type === 'candlestick') {
|
|
const open = point.data.open[point.pointIndex];
|
|
const high = point.data.high[point.pointIndex];
|
|
const low = point.data.low[point.pointIndex];
|
|
const close = point.data.close[point.pointIndex];
|
|
|
|
infoElement.textContent = `O: ${open.toFixed(2)} H: ${high.toFixed(2)} L: ${low.toFixed(2)} C: ${close.toFixed(2)}`;
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Handle chart relayout for infinite scroll
|
|
* Detects when user scrolls/zooms to edges and loads more data
|
|
*/
|
|
handleChartRelayout(timeframe, eventData) {
|
|
const chart = this.charts[timeframe];
|
|
if (!chart || !chart.data) return;
|
|
|
|
// Check if this is a range change (zoom/pan)
|
|
if (!eventData['xaxis.range[0]'] && !eventData['xaxis.range']) return;
|
|
|
|
// Get current visible range
|
|
const xRange = eventData['xaxis.range'] || [eventData['xaxis.range[0]'], eventData['xaxis.range[1]']];
|
|
if (!xRange || xRange.length !== 2) return;
|
|
|
|
const visibleStart = new Date(xRange[0]);
|
|
const visibleEnd = new Date(xRange[1]);
|
|
|
|
// Get data boundaries
|
|
const dataStart = new Date(chart.data.timestamps[0]);
|
|
const dataEnd = new Date(chart.data.timestamps[chart.data.timestamps.length - 1]);
|
|
|
|
// Calculate threshold (10% of visible range from edge)
|
|
const visibleRange = visibleEnd - visibleStart;
|
|
const threshold = visibleRange * 0.1;
|
|
|
|
// Check if we're near the left edge (need older data)
|
|
const nearLeftEdge = (visibleStart - dataStart) < threshold;
|
|
|
|
// Check if we're near the right edge (need newer data)
|
|
const nearRightEdge = (dataEnd - visibleEnd) < threshold;
|
|
|
|
console.log(`Relayout ${timeframe}: visible=${visibleStart.toISOString()} to ${visibleEnd.toISOString()}, data=${dataStart.toISOString()} to ${dataEnd.toISOString()}, nearLeft=${nearLeftEdge}, nearRight=${nearRightEdge}`);
|
|
|
|
// Load more data if near edges
|
|
if (nearLeftEdge) {
|
|
this.loadMoreData(timeframe, 'before', dataStart);
|
|
} else if (nearRightEdge) {
|
|
this.loadMoreData(timeframe, 'after', dataEnd);
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Load more historical data for a timeframe
|
|
*/
|
|
async loadMoreData(timeframe, direction, referenceTime) {
|
|
const chart = this.charts[timeframe];
|
|
if (!chart) return;
|
|
|
|
// Prevent multiple simultaneous loads
|
|
if (chart.loading) {
|
|
console.log(`Already loading data for ${timeframe}, skipping...`);
|
|
return;
|
|
}
|
|
|
|
chart.loading = true;
|
|
this.showLoadingIndicator(timeframe, direction);
|
|
|
|
try {
|
|
// Fetch more candles - no limit, get as much as available
|
|
let startTime, endTime;
|
|
|
|
if (direction === 'before') {
|
|
// Load older data: get candles BEFORE the first candle we have
|
|
// Use the actual first timestamp from our data
|
|
const firstTimestamp = chart.data.timestamps[0];
|
|
endTime = new Date(firstTimestamp).toISOString();
|
|
startTime = null;
|
|
|
|
console.log(`Loading older data before ${endTime} for ${timeframe}`);
|
|
} else {
|
|
// Load newer data: get candles AFTER the last candle we have
|
|
// Use the actual last timestamp from our data
|
|
const lastTimestamp = chart.data.timestamps[chart.data.timestamps.length - 1];
|
|
startTime = new Date(lastTimestamp).toISOString();
|
|
endTime = null;
|
|
|
|
console.log(`Loading newer data after ${startTime} for ${timeframe}`);
|
|
}
|
|
|
|
// Fetch more data from backend (no limit - get all available)
|
|
const response = await fetch('/api/chart-data', {
|
|
method: 'POST',
|
|
headers: { 'Content-Type': 'application/json' },
|
|
body: JSON.stringify({
|
|
symbol: window.appState?.currentSymbol || 'ETH/USDT',
|
|
timeframes: [timeframe],
|
|
start_time: startTime,
|
|
end_time: endTime,
|
|
limit: 1000, // Request 1000 candles at a time
|
|
direction: direction
|
|
})
|
|
});
|
|
|
|
const result = await response.json();
|
|
|
|
console.log(`📊 API Response for ${timeframe} ${direction}:`, {
|
|
success: result.success,
|
|
hasChartData: !!result.chart_data,
|
|
hasTimeframeData: result.chart_data ? !!result.chart_data[timeframe] : false,
|
|
dataLength: result.chart_data && result.chart_data[timeframe] ? result.chart_data[timeframe].timestamps.length : 0,
|
|
error: result.error
|
|
});
|
|
|
|
if (result.success && result.chart_data && result.chart_data[timeframe]) {
|
|
const newData = result.chart_data[timeframe];
|
|
|
|
// Check if we got any new data
|
|
if (newData.timestamps.length === 0) {
|
|
console.warn(`No more data available for ${timeframe} ${direction}`);
|
|
window.showWarning('No more historical data available');
|
|
return;
|
|
}
|
|
|
|
// Log data ranges for debugging
|
|
console.log(`📥 New data: ${newData.timestamps[0]} to ${newData.timestamps[newData.timestamps.length - 1]}`);
|
|
console.log(`📦 Existing: ${chart.data.timestamps[0]} to ${chart.data.timestamps[chart.data.timestamps.length - 1]}`);
|
|
|
|
// Merge with existing data
|
|
this.mergeChartData(timeframe, newData, direction);
|
|
|
|
console.log(` Loaded ${newData.timestamps.length} new candles for ${timeframe}`);
|
|
window.showSuccess(`Loaded ${newData.timestamps.length} more candles`);
|
|
} else {
|
|
console.warn(` No more data available for ${timeframe} ${direction}`);
|
|
console.warn('Full result:', result);
|
|
window.showWarning('No more historical data available');
|
|
}
|
|
|
|
} catch (error) {
|
|
console.error(`Error loading more data for ${timeframe}:`, error);
|
|
window.showError('Failed to load more data');
|
|
} finally {
|
|
chart.loading = false;
|
|
this.hideLoadingIndicator(timeframe);
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Merge new data with existing chart data (with deduplication)
|
|
*/
|
|
mergeChartData(timeframe, newData, direction) {
|
|
const chart = this.charts[timeframe];
|
|
if (!chart || !chart.data) return;
|
|
|
|
const existingData = chart.data;
|
|
|
|
// Create a set of existing timestamps for deduplication
|
|
const existingTimestamps = new Set(existingData.timestamps);
|
|
|
|
// Filter out duplicate timestamps from new data
|
|
const uniqueIndices = [];
|
|
newData.timestamps.forEach((ts, idx) => {
|
|
if (!existingTimestamps.has(ts)) {
|
|
uniqueIndices.push(idx);
|
|
}
|
|
});
|
|
|
|
// If no unique data, nothing to merge
|
|
if (uniqueIndices.length === 0) {
|
|
console.log(`No unique data to merge for ${timeframe}`);
|
|
return;
|
|
}
|
|
|
|
// Extract only unique data points
|
|
const uniqueNewData = {
|
|
timestamps: uniqueIndices.map(i => newData.timestamps[i]),
|
|
open: uniqueIndices.map(i => newData.open[i]),
|
|
high: uniqueIndices.map(i => newData.high[i]),
|
|
low: uniqueIndices.map(i => newData.low[i]),
|
|
close: uniqueIndices.map(i => newData.close[i]),
|
|
volume: uniqueIndices.map(i => newData.volume[i]),
|
|
pivot_markers: newData.pivot_markers || {}
|
|
};
|
|
|
|
console.log(`Merging ${uniqueIndices.length} unique candles (filtered ${newData.timestamps.length - uniqueIndices.length} duplicates)`);
|
|
|
|
let mergedData;
|
|
|
|
if (direction === 'before') {
|
|
// Prepend older data
|
|
mergedData = {
|
|
timestamps: [...uniqueNewData.timestamps, ...existingData.timestamps],
|
|
open: [...uniqueNewData.open, ...existingData.open],
|
|
high: [...uniqueNewData.high, ...existingData.high],
|
|
low: [...uniqueNewData.low, ...existingData.low],
|
|
close: [...uniqueNewData.close, ...existingData.close],
|
|
volume: [...uniqueNewData.volume, ...existingData.volume],
|
|
pivot_markers: { ...uniqueNewData.pivot_markers, ...existingData.pivot_markers }
|
|
};
|
|
} else {
|
|
// Append newer data
|
|
mergedData = {
|
|
timestamps: [...existingData.timestamps, ...uniqueNewData.timestamps],
|
|
open: [...existingData.open, ...uniqueNewData.open],
|
|
high: [...existingData.high, ...uniqueNewData.high],
|
|
low: [...existingData.low, ...uniqueNewData.low],
|
|
close: [...existingData.close, ...uniqueNewData.close],
|
|
volume: [...existingData.volume, ...uniqueNewData.volume],
|
|
pivot_markers: { ...existingData.pivot_markers, ...uniqueNewData.pivot_markers }
|
|
};
|
|
}
|
|
|
|
// Update stored data
|
|
chart.data = mergedData;
|
|
|
|
// Recalculate pivot points for the merged data
|
|
this.recalculatePivots(timeframe, mergedData);
|
|
|
|
// Update the chart with merged data
|
|
this.updateSingleChart(timeframe, mergedData);
|
|
}
|
|
|
|
/**
|
|
* Recalculate pivot points for merged data
|
|
*/
|
|
async recalculatePivots(timeframe, data) {
|
|
try {
|
|
// Don't recalculate if we don't have enough data
|
|
if (data.timestamps.length < 50) return;
|
|
|
|
console.log(` Recalculating pivots for ${timeframe} with ${data.timestamps.length} candles...`);
|
|
|
|
// Optimized: Only send symbol and timeframe, backend uses its own data
|
|
const response = await fetch('/api/recalculate-pivots', {
|
|
method: 'POST',
|
|
headers: { 'Content-Type': 'application/json' },
|
|
body: JSON.stringify({
|
|
symbol: window.appState?.currentSymbol || 'ETH/USDT',
|
|
timeframe: timeframe
|
|
})
|
|
});
|
|
|
|
const result = await response.json();
|
|
|
|
if (result.success && result.pivot_markers) {
|
|
// Update pivot markers in chart data
|
|
const chart = this.charts[timeframe];
|
|
if (chart && chart.data) {
|
|
chart.data.pivot_markers = result.pivot_markers;
|
|
console.log(` Pivots recalculated: ${Object.keys(result.pivot_markers).length} pivot candles`);
|
|
|
|
// Redraw the chart with updated pivots
|
|
this.redrawChartWithPivots(timeframe, chart.data);
|
|
}
|
|
} else {
|
|
console.warn('Failed to recalculate pivots:', result.error);
|
|
}
|
|
|
|
} catch (error) {
|
|
console.error(`Error recalculating pivots for ${timeframe}:`, error);
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Redraw chart with updated pivot markers
|
|
*/
|
|
redrawChartWithPivots(timeframe, data) {
|
|
const chart = this.charts[timeframe];
|
|
if (!chart) return;
|
|
|
|
// Build pivot shapes and annotations
|
|
const shapes = [];
|
|
const annotations = [];
|
|
const pivotDots = {
|
|
x: [], y: [], text: [],
|
|
marker: { color: [], size: [], symbol: [] },
|
|
mode: 'markers',
|
|
hoverinfo: 'text',
|
|
showlegend: false
|
|
};
|
|
|
|
if (data.pivot_markers && Object.keys(data.pivot_markers).length > 0) {
|
|
const xMin = data.timestamps[0];
|
|
const xMax = data.timestamps[data.timestamps.length - 1];
|
|
|
|
// Process each timestamp that has pivot markers
|
|
Object.entries(data.pivot_markers).forEach(([timestamp, pivots]) => {
|
|
// Process high pivots
|
|
if (pivots.highs && pivots.highs.length > 0) {
|
|
pivots.highs.forEach(pivot => {
|
|
const color = this._getPivotColor(pivot.level, 'high');
|
|
|
|
pivotDots.x.push(timestamp);
|
|
pivotDots.y.push(pivot.price);
|
|
pivotDots.text.push(`L${pivot.level} High Pivot<br>Price: ${pivot.price.toFixed(2)}<br>Strength: ${(pivot.strength * 100).toFixed(0)}%`);
|
|
pivotDots.marker.color.push(color);
|
|
pivotDots.marker.size.push(this._getPivotMarkerSize(pivot.level));
|
|
pivotDots.marker.symbol.push('triangle-down');
|
|
|
|
if (pivot.is_last) {
|
|
shapes.push({
|
|
type: 'line',
|
|
x0: xMin, y0: pivot.price,
|
|
x1: xMax, y1: pivot.price,
|
|
line: { color: color, width: 1, dash: 'dash' },
|
|
layer: 'below'
|
|
});
|
|
|
|
annotations.push({
|
|
x: xMax, y: pivot.price,
|
|
text: `L${pivot.level}H`,
|
|
showarrow: false,
|
|
xanchor: 'left',
|
|
font: { size: 9, color: color },
|
|
bgcolor: '#1f2937',
|
|
borderpad: 2
|
|
});
|
|
}
|
|
});
|
|
}
|
|
|
|
// Process low pivots
|
|
if (pivots.lows && pivots.lows.length > 0) {
|
|
pivots.lows.forEach(pivot => {
|
|
const color = this._getPivotColor(pivot.level, 'low');
|
|
|
|
pivotDots.x.push(timestamp);
|
|
pivotDots.y.push(pivot.price);
|
|
pivotDots.text.push(`L${pivot.level} Low Pivot<br>Price: ${pivot.price.toFixed(2)}<br>Strength: ${(pivot.strength * 100).toFixed(0)}%`);
|
|
pivotDots.marker.color.push(color);
|
|
pivotDots.marker.size.push(this._getPivotMarkerSize(pivot.level));
|
|
pivotDots.marker.symbol.push('triangle-up');
|
|
|
|
if (pivot.is_last) {
|
|
shapes.push({
|
|
type: 'line',
|
|
x0: xMin, y0: pivot.price,
|
|
x1: xMax, y1: pivot.price,
|
|
line: { color: color, width: 1, dash: 'dash' },
|
|
layer: 'below'
|
|
});
|
|
|
|
annotations.push({
|
|
x: xMax, y: pivot.price,
|
|
text: `L${pivot.level}L`,
|
|
showarrow: false,
|
|
xanchor: 'left',
|
|
font: { size: 9, color: color },
|
|
bgcolor: '#1f2937',
|
|
borderpad: 2
|
|
});
|
|
}
|
|
});
|
|
}
|
|
});
|
|
}
|
|
|
|
// Batch update: Use Plotly.update to combine layout and trace updates
|
|
// This reduces flickering by doing both operations in one call
|
|
const layoutUpdate = {
|
|
shapes: shapes,
|
|
annotations: annotations
|
|
};
|
|
|
|
const traceUpdate = pivotDots.x.length > 0 ? {
|
|
x: [pivotDots.x],
|
|
y: [pivotDots.y],
|
|
text: [pivotDots.text],
|
|
'marker.color': [pivotDots.marker.color],
|
|
'marker.size': [pivotDots.marker.size],
|
|
'marker.symbol': [pivotDots.marker.symbol]
|
|
} : {};
|
|
|
|
// Use Plotly.update to batch both operations
|
|
if (pivotDots.x.length > 0) {
|
|
Plotly.update(chart.plotId, traceUpdate, layoutUpdate, [2]); // Trace index 2 is pivot dots
|
|
} else {
|
|
Plotly.relayout(chart.plotId, layoutUpdate);
|
|
}
|
|
|
|
console.log(`Redrawn ${timeframe} chart with updated pivots`);
|
|
}
|
|
|
|
/**
|
|
* Update a single chart with new data
|
|
*/
|
|
updateSingleChart(timeframe, data) {
|
|
const chart = this.charts[timeframe];
|
|
if (!chart) return;
|
|
|
|
const plotId = chart.plotId;
|
|
const plotElement = document.getElementById(plotId);
|
|
if (!plotElement) return;
|
|
|
|
// Create volume colors
|
|
const volumeColors = data.close.map((close, i) => {
|
|
if (i === 0) return '#3b82f6';
|
|
return close >= data.open[i] ? '#10b981' : '#ef4444';
|
|
});
|
|
|
|
// Use Plotly.react for smoother, non-flickering updates
|
|
// It only updates what changed, unlike restyle which can cause flicker
|
|
const currentData = plotElement.data;
|
|
|
|
// Update only the first two traces (candlestick and volume)
|
|
// Keep other traces (pivots, predictions) intact
|
|
const updatedTraces = [...currentData];
|
|
|
|
// Update candlestick trace (trace 0)
|
|
updatedTraces[0] = {
|
|
...updatedTraces[0],
|
|
x: data.timestamps,
|
|
open: data.open,
|
|
high: data.high,
|
|
low: data.low,
|
|
close: data.close
|
|
};
|
|
|
|
// Update volume trace (trace 1)
|
|
updatedTraces[1] = {
|
|
...updatedTraces[1],
|
|
x: data.timestamps,
|
|
y: data.volume,
|
|
marker: { ...updatedTraces[1].marker, color: volumeColors }
|
|
};
|
|
|
|
// Use react instead of restyle - it's smarter about what to update
|
|
Plotly.react(plotId, updatedTraces, plotElement.layout, plotElement.config);
|
|
|
|
console.log(`Updated ${timeframe} chart with ${data.timestamps.length} candles`);
|
|
}
|
|
|
|
/**
|
|
* Show loading indicator on chart
|
|
*/
|
|
showLoadingIndicator(timeframe, direction) {
|
|
const chart = this.charts[timeframe];
|
|
if (!chart) return;
|
|
|
|
const plotElement = chart.element;
|
|
const loadingDiv = document.createElement('div');
|
|
loadingDiv.id = `loading-${timeframe}`;
|
|
loadingDiv.className = 'chart-loading-indicator';
|
|
loadingDiv.innerHTML = `
|
|
<div class="spinner-border spinner-border-sm text-primary" role="status">
|
|
<span class="visually-hidden">Loading...</span>
|
|
</div>
|
|
<span class="ms-2">Loading ${direction === 'before' ? 'older' : 'newer'} data...</span>
|
|
`;
|
|
loadingDiv.style.cssText = `
|
|
position: absolute;
|
|
top: 10px;
|
|
${direction === 'before' ? 'left' : 'right'}: 10px;
|
|
background: rgba(31, 41, 55, 0.9);
|
|
color: #f8f9fa;
|
|
padding: 8px 12px;
|
|
border-radius: 4px;
|
|
font-size: 12px;
|
|
z-index: 1000;
|
|
display: flex;
|
|
align-items: center;
|
|
`;
|
|
|
|
plotElement.parentElement.style.position = 'relative';
|
|
plotElement.parentElement.appendChild(loadingDiv);
|
|
}
|
|
|
|
/**
|
|
* Hide loading indicator
|
|
*/
|
|
hideLoadingIndicator(timeframe) {
|
|
const loadingDiv = document.getElementById(`loading-${timeframe}`);
|
|
if (loadingDiv) {
|
|
loadingDiv.remove();
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Update model predictions on charts
|
|
*/
|
|
updatePredictions(predictions) {
|
|
if (!predictions) return;
|
|
|
|
try {
|
|
// Use the currently active timeframe from app state
|
|
// This ensures predictions appear on the chart the user is watching (e.g., '1s')
|
|
const timeframe = window.appState?.currentTimeframes?.[0] || '1m';
|
|
const chart = this.charts[timeframe];
|
|
|
|
if (!chart) {
|
|
console.warn(`[updatePredictions] Chart not found for timeframe: ${timeframe}`);
|
|
return;
|
|
}
|
|
|
|
// Throttle prediction updates to avoid flickering
|
|
const now = Date.now();
|
|
const lastUpdate = this.lastPredictionUpdate[timeframe] || 0;
|
|
|
|
// Create a simple hash of prediction data to detect actual changes
|
|
const predictionHash = JSON.stringify({
|
|
action: predictions.transformer?.action,
|
|
confidence: predictions.transformer?.confidence,
|
|
predicted_price: predictions.transformer?.predicted_price,
|
|
timestamp: predictions.transformer?.timestamp
|
|
});
|
|
|
|
// Skip update if:
|
|
// 1. Too soon since last update (throttle)
|
|
// 2. Predictions haven't actually changed
|
|
if (now - lastUpdate < this.predictionUpdateThrottle && predictionHash === this.lastPredictionHash) {
|
|
console.debug(`[updatePredictions] Skipping update (throttled or unchanged)`);
|
|
return;
|
|
}
|
|
|
|
this.lastPredictionUpdate[timeframe] = now;
|
|
this.lastPredictionHash = predictionHash;
|
|
|
|
console.log(`[updatePredictions] Timeframe: ${timeframe}, Predictions:`, predictions);
|
|
|
|
const plotId = chart.plotId;
|
|
const plotElement = document.getElementById(plotId);
|
|
if (!plotElement) return;
|
|
|
|
// Get current chart data
|
|
const chartData = plotElement.data;
|
|
if (!chartData || chartData.length < 2) return;
|
|
|
|
// Prepare prediction markers
|
|
const predictionShapes = [];
|
|
const predictionAnnotations = [];
|
|
const predictionTraces = []; // New traces for ghost candles
|
|
|
|
// Add DQN predictions (arrows)
|
|
if (predictions.dqn) {
|
|
this._addDQNPrediction(predictions.dqn, predictionShapes, predictionAnnotations);
|
|
}
|
|
|
|
// Add CNN predictions (trend lines)
|
|
if (predictions.cnn) {
|
|
this._addCNNPrediction(predictions.cnn, predictionShapes, predictionAnnotations);
|
|
}
|
|
|
|
// Add Transformer predictions (star markers with trend lines + ghost candles)
|
|
if (predictions.transformer) {
|
|
this._addTransformerPrediction(predictions.transformer, predictionShapes, predictionAnnotations);
|
|
|
|
// Add trend vector visualization
|
|
if (predictions.transformer.trend_vector) {
|
|
this._addTrendPrediction(predictions.transformer.trend_vector, predictionShapes, predictionAnnotations);
|
|
}
|
|
|
|
// Handle Predicted Candles
|
|
if (predictions.transformer.predicted_candle) {
|
|
console.log(`[updatePredictions] predicted_candle data:`, predictions.transformer.predicted_candle);
|
|
const candleData = predictions.transformer.predicted_candle[timeframe];
|
|
console.log(`[updatePredictions] candleData for ${timeframe}:`, candleData);
|
|
if (candleData) {
|
|
// Get the prediction timestamp from the model (when inference was made)
|
|
const predictionTimestamp = predictions.transformer.timestamp || new Date().toISOString();
|
|
|
|
// Calculate the target timestamp (when this prediction is for)
|
|
// This should be the NEXT candle after the inference time
|
|
const inferenceTime = new Date(predictionTimestamp);
|
|
let targetTimestamp;
|
|
|
|
if (timeframe === '1s') {
|
|
targetTimestamp = new Date(inferenceTime.getTime() + 1000);
|
|
} else if (timeframe === '1m') {
|
|
targetTimestamp = new Date(inferenceTime.getTime() + 60000);
|
|
} else if (timeframe === '1h') {
|
|
targetTimestamp = new Date(inferenceTime.getTime() + 3600000);
|
|
} else {
|
|
targetTimestamp = new Date(inferenceTime.getTime() + 60000);
|
|
}
|
|
|
|
// 1. Next Candle Prediction (Ghost)
|
|
// Show the prediction at its proper timestamp
|
|
this._addGhostCandlePrediction(candleData, timeframe, predictionTraces, targetTimestamp);
|
|
|
|
// 2. Store as "Last Prediction" for this timeframe
|
|
// This allows us to visualize the "Shadow" (prediction vs actual) on the next tick
|
|
if (!this.lastPredictions) this.lastPredictions = {};
|
|
|
|
this.lastPredictions[timeframe] = {
|
|
timestamp: targetTimestamp.toISOString(),
|
|
candle: candleData,
|
|
inferenceTime: predictionTimestamp
|
|
};
|
|
|
|
console.log(`[${timeframe}] Ghost candle prediction placed at ${targetTimestamp.toISOString()} (inference at ${predictionTimestamp})`);
|
|
}
|
|
}
|
|
|
|
// 3. Render "Shadow Candle" (Previous Prediction for Current Candle)
|
|
// 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];
|
|
|
|
// Compare timestamps (allow small diff for jitter)
|
|
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) {
|
|
Plotly.relayout(plotId, {
|
|
shapes: [...(chart.layout.shapes || []), ...predictionShapes],
|
|
annotations: [...(chart.layout.annotations || []), ...predictionAnnotations]
|
|
});
|
|
}
|
|
|
|
// Add prediction traces (ghost candles)
|
|
if (predictionTraces.length > 0) {
|
|
// Remove existing ghost/shadow traces safely
|
|
const currentTraces = plotElement.data.length;
|
|
const indicesToRemove = [];
|
|
for (let i = currentTraces - 1; i >= 0; i--) {
|
|
const name = plotElement.data[i].name;
|
|
if (name === 'Ghost Prediction' || name === 'Shadow Prediction') {
|
|
indicesToRemove.push(i);
|
|
}
|
|
}
|
|
if (indicesToRemove.length > 0) {
|
|
Plotly.deleteTraces(plotId, indicesToRemove);
|
|
}
|
|
|
|
// Add new traces
|
|
Plotly.addTraces(plotId, predictionTraces);
|
|
}
|
|
|
|
} catch (error) {
|
|
console.debug('Error updating predictions:', error);
|
|
}
|
|
}
|
|
|
|
_addTrendPrediction(trendVector, shapes, annotations) {
|
|
// trendVector contains: angle_degrees, steepness, direction, price_delta
|
|
// We visualize this as a ray from current price
|
|
|
|
// Use the active timeframe from app state
|
|
const timeframe = window.appState?.currentTimeframes?.[0] || '1m';
|
|
const chart = this.charts[timeframe];
|
|
if (!chart || !chart.data) return;
|
|
|
|
const lastIdx = chart.data.timestamps.length - 1;
|
|
const lastTimestamp = new Date(chart.data.timestamps[lastIdx]);
|
|
const currentPrice = chart.data.close[lastIdx];
|
|
|
|
// Calculate target point
|
|
// steepness is [0, 1], angle is in degrees
|
|
// We project ahead by e.g. 5 minutes
|
|
const projectionMinutes = 5;
|
|
const targetTime = new Date(lastTimestamp.getTime() + projectionMinutes * 60000);
|
|
|
|
let targetPrice = currentPrice;
|
|
|
|
if (trendVector.price_delta) {
|
|
// If model provided explicit price delta (denormalized ideally)
|
|
// Note: backend sends price_delta as normalized value usually?
|
|
// But trend_vector dict constructed in model usually has raw value if we didn't normalize?
|
|
// Actually, checking model code, it returns raw tensor value.
|
|
// If normalized, it's small. If real price, it's big.
|
|
// Heuristic: if delta is < 1.0 and price is > 100, it's likely normalized or percentage.
|
|
|
|
// Safer to use angle/steepness if delta is ambiguous, but let's try to interpret direction
|
|
const direction = trendVector.direction === 'up' ? 1 : (trendVector.direction === 'down' ? -1 : 0);
|
|
const steepness = trendVector.steepness || 0; // 0 to 1
|
|
|
|
// Estimate price change based on steepness (max 2% move in 5 mins)
|
|
const maxChange = 0.02 * currentPrice;
|
|
const projectedChange = maxChange * steepness * direction;
|
|
targetPrice = currentPrice + projectedChange;
|
|
}
|
|
|
|
// Draw trend ray
|
|
shapes.push({
|
|
type: 'line',
|
|
x0: lastTimestamp,
|
|
y0: currentPrice,
|
|
x1: targetTime,
|
|
y1: targetPrice,
|
|
line: {
|
|
color: 'rgba(255, 255, 0, 0.6)', // Yellow for trend
|
|
width: 2,
|
|
dash: 'dot'
|
|
}
|
|
});
|
|
|
|
// Add target annotation
|
|
annotations.push({
|
|
x: targetTime,
|
|
y: targetPrice,
|
|
text: `Target<br>${targetPrice.toFixed(2)}`,
|
|
showarrow: true,
|
|
arrowhead: 2,
|
|
ax: 0,
|
|
ay: -20,
|
|
font: { size: 10, color: '#fbbf24' },
|
|
bgcolor: 'rgba(0,0,0,0.5)'
|
|
});
|
|
}
|
|
|
|
_addGhostCandlePrediction(candleData, timeframe, traces, predictionTimestamp = null) {
|
|
// candleData is [Open, High, Low, Close, Volume]
|
|
// predictionTimestamp is when the model made this prediction (optional)
|
|
// If not provided, we calculate the next candle time
|
|
|
|
const chart = this.charts[timeframe];
|
|
if (!chart || !chart.data) return;
|
|
|
|
let nextTimestamp;
|
|
|
|
if (predictionTimestamp) {
|
|
// Use the actual prediction timestamp from the model
|
|
nextTimestamp = new Date(predictionTimestamp);
|
|
} else {
|
|
// Fallback: Calculate next timestamp based on timeframe
|
|
const lastTimestamp = new Date(chart.data.timestamps[chart.data.timestamps.length - 1]);
|
|
|
|
if (timeframe === '1s') {
|
|
nextTimestamp = new Date(lastTimestamp.getTime() + 1000);
|
|
} else if (timeframe === '1m') {
|
|
nextTimestamp = new Date(lastTimestamp.getTime() + 60000);
|
|
} else if (timeframe === '1h') {
|
|
nextTimestamp = new Date(lastTimestamp.getTime() + 3600000);
|
|
} else {
|
|
nextTimestamp = new Date(lastTimestamp.getTime() + 60000); // Default 1m
|
|
}
|
|
}
|
|
|
|
const open = candleData[0];
|
|
const high = candleData[1];
|
|
const low = candleData[2];
|
|
const close = candleData[3];
|
|
|
|
// Determine color
|
|
const color = close >= open ? '#10b981' : '#ef4444';
|
|
|
|
// Create ghost candle trace
|
|
const ghostTrace = {
|
|
x: [nextTimestamp],
|
|
open: [open],
|
|
high: [high],
|
|
low: [low],
|
|
close: [close],
|
|
type: 'candlestick',
|
|
name: 'Ghost Prediction',
|
|
increasing: {
|
|
line: { color: color, width: 1 },
|
|
fillcolor: color
|
|
},
|
|
decreasing: {
|
|
line: { color: color, width: 1 },
|
|
fillcolor: color
|
|
},
|
|
opacity: 0.6, // 60% transparent
|
|
hoverinfo: 'x+y+text',
|
|
text: ['Predicted Next Candle']
|
|
};
|
|
|
|
traces.push(ghostTrace);
|
|
console.log('Added ghost candle prediction:', ghostTrace);
|
|
}
|
|
|
|
_addShadowCandlePrediction(candleData, timestamp, traces) {
|
|
// candleData is [Open, High, Low, Close, Volume]
|
|
// timestamp is the time where this shadow should appear (matches current candle)
|
|
|
|
const open = candleData[0];
|
|
const high = candleData[1];
|
|
const low = candleData[2];
|
|
const close = candleData[3];
|
|
|
|
// Shadow color (purple to distinguish from ghost)
|
|
const color = '#8b5cf6'; // Violet
|
|
|
|
const shadowTrace = {
|
|
x: [timestamp],
|
|
open: [open],
|
|
high: [high],
|
|
low: [low],
|
|
close: [close],
|
|
type: 'candlestick',
|
|
name: 'Shadow Prediction',
|
|
increasing: {
|
|
line: { color: color, width: 1 },
|
|
fillcolor: 'rgba(139, 92, 246, 0.0)' // Hollow
|
|
},
|
|
decreasing: {
|
|
line: { color: color, width: 1 },
|
|
fillcolor: 'rgba(139, 92, 246, 0.0)' // Hollow
|
|
},
|
|
opacity: 0.7,
|
|
hoverinfo: 'x+y+text',
|
|
text: ['Past Prediction']
|
|
};
|
|
|
|
traces.push(shadowTrace);
|
|
}
|
|
|
|
_addDQNPrediction(prediction, shapes, annotations) {
|
|
const timestamp = new Date(prediction.timestamp || Date.now());
|
|
const price = prediction.current_price || 0;
|
|
const action = prediction.action || 'HOLD';
|
|
const confidence = prediction.confidence || 0;
|
|
|
|
if (action === 'HOLD' || confidence < 0.4) return;
|
|
|
|
// Add arrow annotation
|
|
annotations.push({
|
|
x: timestamp,
|
|
y: price,
|
|
text: action === 'BUY' ? '▲' : '▼',
|
|
showarrow: false,
|
|
font: {
|
|
size: 16,
|
|
color: action === 'BUY' ? '#10b981' : '#ef4444'
|
|
},
|
|
opacity: 0.5 + confidence * 0.5
|
|
});
|
|
}
|
|
|
|
_addCNNPrediction(prediction, shapes, annotations) {
|
|
const timestamp = new Date(prediction.timestamp || Date.now());
|
|
const currentPrice = prediction.current_price || 0;
|
|
const predictedPrice = prediction.predicted_price || currentPrice;
|
|
const confidence = prediction.confidence || 0;
|
|
|
|
if (confidence < 0.4 || currentPrice === 0) return;
|
|
|
|
// Calculate end time (5 minutes ahead)
|
|
const endTime = new Date(timestamp.getTime() + 5 * 60 * 1000);
|
|
|
|
// Determine color based on direction
|
|
const isUp = predictedPrice > currentPrice;
|
|
const color = isUp ? 'rgba(0, 255, 0, 0.5)' : 'rgba(255, 0, 0, 0.5)';
|
|
|
|
// Add trend line
|
|
shapes.push({
|
|
type: 'line',
|
|
x0: timestamp,
|
|
y0: currentPrice,
|
|
x1: endTime,
|
|
y1: predictedPrice,
|
|
line: {
|
|
color: color,
|
|
width: 2,
|
|
dash: 'dot'
|
|
}
|
|
});
|
|
|
|
// Add target marker
|
|
annotations.push({
|
|
x: endTime,
|
|
y: predictedPrice,
|
|
text: '◆',
|
|
showarrow: false,
|
|
font: {
|
|
size: 12,
|
|
color: isUp ? '#10b981' : '#ef4444'
|
|
},
|
|
opacity: 0.5 + confidence * 0.5
|
|
});
|
|
}
|
|
|
|
_addTransformerPrediction(prediction, shapes, annotations) {
|
|
const timestamp = new Date(prediction.timestamp || Date.now());
|
|
const currentPrice = prediction.current_price || 0;
|
|
const predictedPrice = prediction.predicted_price || currentPrice;
|
|
const confidence = prediction.confidence || 0;
|
|
const priceChange = prediction.price_change || 0;
|
|
const horizonMinutes = prediction.horizon_minutes || 10;
|
|
|
|
if (confidence < 0.3 || currentPrice === 0) return;
|
|
|
|
// Calculate end time
|
|
const endTime = new Date(timestamp.getTime() + horizonMinutes * 60 * 1000);
|
|
|
|
// Determine color based on price change
|
|
let color;
|
|
if (priceChange > 0.5) {
|
|
color = 'rgba(0, 200, 255, 0.6)'; // Cyan for UP
|
|
} else if (priceChange < -0.5) {
|
|
color = 'rgba(255, 100, 0, 0.6)'; // Orange for DOWN
|
|
} else {
|
|
color = 'rgba(150, 150, 255, 0.5)'; // Light blue for STABLE
|
|
}
|
|
|
|
// Add trend line
|
|
shapes.push({
|
|
type: 'line',
|
|
x0: timestamp,
|
|
y0: currentPrice,
|
|
x1: endTime,
|
|
y1: predictedPrice,
|
|
line: {
|
|
color: color,
|
|
width: 2 + confidence * 2,
|
|
dash: 'dashdot'
|
|
}
|
|
});
|
|
|
|
// Add star marker at target
|
|
annotations.push({
|
|
x: endTime,
|
|
y: predictedPrice,
|
|
text: '★',
|
|
showarrow: false,
|
|
font: {
|
|
size: 14 + confidence * 6,
|
|
color: color
|
|
},
|
|
opacity: 0.6 + confidence * 0.4
|
|
});
|
|
}
|
|
|
|
/**
|
|
* Update live metrics overlay on the active chart
|
|
*/
|
|
updateLiveMetrics(metrics) {
|
|
try {
|
|
// Get the active timeframe (first in list)
|
|
const activeTimeframe = window.appState?.currentTimeframes?.[0] || '1m';
|
|
const chart = this.charts[activeTimeframe];
|
|
|
|
if (!chart) return;
|
|
|
|
const plotId = chart.plotId;
|
|
const plotElement = document.getElementById(plotId);
|
|
|
|
if (!plotElement) return;
|
|
|
|
// Remove any existing overlays from other timeframes
|
|
document.querySelectorAll('[id^="metrics-overlay-"]').forEach(el => {
|
|
if (el.id !== 'metrics-overlay') {
|
|
el.remove();
|
|
}
|
|
});
|
|
|
|
// Create or update single metrics overlay
|
|
let overlay = document.getElementById('metrics-overlay');
|
|
|
|
if (!overlay) {
|
|
// Create overlay div
|
|
overlay = document.createElement('div');
|
|
overlay.id = 'metrics-overlay';
|
|
overlay.style.cssText = `
|
|
position: absolute;
|
|
top: 10px;
|
|
left: 10px;
|
|
background: rgba(0, 0, 0, 0.85);
|
|
color: #fff;
|
|
padding: 8px 12px;
|
|
border-radius: 6px;
|
|
font-family: 'Courier New', monospace;
|
|
font-size: 12px;
|
|
z-index: 1000;
|
|
pointer-events: none;
|
|
border: 1px solid rgba(255, 255, 255, 0.2);
|
|
box-shadow: 0 2px 8px rgba(0, 0, 0, 0.3);
|
|
`;
|
|
|
|
// Append to plot container
|
|
plotElement.parentElement.style.position = 'relative';
|
|
plotElement.parentElement.appendChild(overlay);
|
|
}
|
|
|
|
// Format metrics
|
|
const accuracy = metrics.accuracy ? (metrics.accuracy * 100).toFixed(1) : '--';
|
|
const loss = metrics.loss ? metrics.loss.toFixed(4) : '--';
|
|
|
|
// Determine color based on loss (lower is better)
|
|
let lossColor = '#10b981'; // Green
|
|
if (metrics.loss > 0.5) {
|
|
lossColor = '#ef4444'; // Red
|
|
} else if (metrics.loss > 0.3) {
|
|
lossColor = '#f59e0b'; // Yellow
|
|
}
|
|
|
|
// Update content
|
|
overlay.innerHTML = `
|
|
<div style="font-weight: bold; margin-bottom: 4px; color: #3b82f6;">
|
|
📊 Live Inference [${activeTimeframe}]
|
|
</div>
|
|
<div style="display: flex; gap: 16px;">
|
|
<div>
|
|
<span style="color: #9ca3af;">Loss:</span>
|
|
<span style="color: ${lossColor}; font-weight: bold; margin-left: 4px;">${loss}</span>
|
|
</div>
|
|
<div>
|
|
<span style="color: #9ca3af;">Acc:</span>
|
|
<span style="color: #10b981; font-weight: bold; margin-left: 4px;">${accuracy}%</span>
|
|
</div>
|
|
</div>
|
|
`;
|
|
|
|
// Store reference
|
|
this.liveMetricsOverlay = overlay;
|
|
|
|
} catch (error) {
|
|
console.error('Error updating live metrics overlay:', error);
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Remove live metrics overlay
|
|
*/
|
|
removeLiveMetrics() {
|
|
// Remove the single metrics overlay
|
|
const overlay = document.getElementById('metrics-overlay');
|
|
if (overlay) {
|
|
overlay.remove();
|
|
}
|
|
|
|
// Also remove any old overlays with timeframe-specific IDs (cleanup)
|
|
document.querySelectorAll('[id^="metrics-overlay-"]').forEach(el => {
|
|
if (el.id !== 'metrics-overlay') {
|
|
el.remove();
|
|
}
|
|
});
|
|
|
|
this.liveMetricsOverlay = null;
|
|
}
|
|
}
|