fix 1s 1m chart less candles ;
fix vertical zoom
This commit is contained in:
@@ -17,6 +17,7 @@ class ChartManager {
|
||||
this.lastPredictionHash = null; // Track if predictions actually changed
|
||||
this.ghostCandleHistory = {}; // Store ghost candles per timeframe (max 50 each)
|
||||
this.maxGhostCandles = 150; // Maximum number of ghost candles to keep
|
||||
this.modelAccuracyMetrics = {}; // Track overall model accuracy per timeframe
|
||||
|
||||
// Helper to ensure all timestamps are in UTC
|
||||
this.normalizeTimestamp = (timestamp) => {
|
||||
@@ -81,7 +82,8 @@ class ChartManager {
|
||||
*/
|
||||
async updateChart(timeframe) {
|
||||
try {
|
||||
const response = await fetch(`/api/chart-data?timeframe=${timeframe}&limit=1000`);
|
||||
// Use consistent candle count across all timeframes (2500 for sufficient training context)
|
||||
const response = await fetch(`/api/chart-data?timeframe=${timeframe}&limit=2500`);
|
||||
if (!response.ok) {
|
||||
throw new Error(`HTTP ${response.status}`);
|
||||
}
|
||||
@@ -109,7 +111,7 @@ class ChartManager {
|
||||
Plotly.restyle(plotId, candlestickUpdate, [0]);
|
||||
Plotly.restyle(plotId, volumeUpdate, [1]);
|
||||
|
||||
console.log(`Updated ${timeframe} chart at ${new Date().toLocaleTimeString()}`);
|
||||
console.log(`Updated ${timeframe} chart with ${chartData.timestamps.length} candles at ${new Date().toLocaleTimeString()}`);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error(`Error updating ${timeframe} chart:`, error);
|
||||
@@ -546,9 +548,9 @@ class ChartManager {
|
||||
plot_bgcolor: '#1f2937',
|
||||
paper_bgcolor: '#1f2937',
|
||||
font: { color: '#f8f9fa', size: 11 },
|
||||
margin: { l: 60, r: 20, t: 10, b: 40 },
|
||||
margin: { l: 80, r: 20, t: 10, b: 40 }, // Increased left margin for better Y-axis drag area
|
||||
hovermode: 'x unified',
|
||||
dragmode: 'pan',
|
||||
dragmode: 'pan', // Pan mode for main chart area (horizontal panning)
|
||||
// Performance optimizations
|
||||
autosize: true,
|
||||
staticPlot: false
|
||||
@@ -562,7 +564,7 @@ class ChartManager {
|
||||
scrollZoom: true,
|
||||
// Performance optimizations
|
||||
doubleClick: 'reset', // Enable double-click reset
|
||||
showAxisDragHandles: true, // Enable axis dragging
|
||||
showAxisDragHandles: true, // Enable axis dragging - allows Y-axis vertical zoom when dragging on Y-axis area
|
||||
showAxisRangeEntryBoxes: false
|
||||
};
|
||||
|
||||
@@ -711,6 +713,10 @@ class ChartManager {
|
||||
Plotly.newPlot(plotId, chartData, layout, config).then(() => {
|
||||
// Optimize rendering after initial plot
|
||||
plotElement._fullLayout._replotting = false;
|
||||
|
||||
// Add custom handler for Y-axis vertical zoom
|
||||
// When user drags on Y-axis area (left side), enable vertical zoom
|
||||
this._setupYAxisZoom(plotElement, plotId, timeframe);
|
||||
});
|
||||
|
||||
// Store chart reference
|
||||
@@ -777,6 +783,134 @@ class ChartManager {
|
||||
|
||||
console.log(`Chart created for ${timeframe} with ${data.timestamps.length} candles`);
|
||||
}
|
||||
|
||||
/**
|
||||
* Setup Y-axis vertical zoom handler
|
||||
* Allows vertical zoom when dragging on the Y-axis area (left side of chart)
|
||||
*/
|
||||
_setupYAxisZoom(plotElement, plotId, timeframe) {
|
||||
let isDraggingYAxis = false;
|
||||
let dragStartY = null;
|
||||
let dragStartRange = null;
|
||||
const Y_AXIS_MARGIN = 80; // Left margin width in pixels
|
||||
|
||||
// Mouse down handler - check if on Y-axis area
|
||||
const handleMouseDown = (event) => {
|
||||
const rect = plotElement.getBoundingClientRect();
|
||||
const x = event.clientX - rect.left;
|
||||
|
||||
// Check if click is in Y-axis area (left margin)
|
||||
if (x < Y_AXIS_MARGIN) {
|
||||
isDraggingYAxis = true;
|
||||
dragStartY = event.clientY;
|
||||
|
||||
// Get current Y-axis range
|
||||
const layout = plotElement._fullLayout;
|
||||
if (layout && layout.yaxis && layout.yaxis.range) {
|
||||
dragStartRange = {
|
||||
min: layout.yaxis.range[0],
|
||||
max: layout.yaxis.range[1],
|
||||
range: layout.yaxis.range[1] - layout.yaxis.range[0]
|
||||
};
|
||||
}
|
||||
|
||||
// Change cursor to indicate vertical zoom
|
||||
plotElement.style.cursor = 'ns-resize';
|
||||
event.preventDefault();
|
||||
event.stopPropagation();
|
||||
}
|
||||
};
|
||||
|
||||
// Mouse move handler - handle vertical zoom and cursor update
|
||||
const handleMouseMove = (event) => {
|
||||
const rect = plotElement.getBoundingClientRect();
|
||||
const x = event.clientX - rect.left;
|
||||
|
||||
// Update cursor when hovering over Y-axis area (only if not dragging)
|
||||
if (!isDraggingYAxis) {
|
||||
if (x < Y_AXIS_MARGIN) {
|
||||
plotElement.style.cursor = 'ns-resize';
|
||||
} else {
|
||||
plotElement.style.cursor = 'default';
|
||||
}
|
||||
}
|
||||
|
||||
// Handle vertical zoom drag
|
||||
if (isDraggingYAxis && dragStartY !== null && dragStartRange !== null) {
|
||||
const deltaY = dragStartY - event.clientY; // Negative = zoom in (drag up), Positive = zoom out (drag down)
|
||||
const zoomFactor = 1 + (deltaY / 200); // Adjust sensitivity (200px = 2x zoom)
|
||||
|
||||
// Clamp zoom factor to reasonable limits
|
||||
const clampedZoom = Math.max(0.1, Math.min(10, zoomFactor));
|
||||
|
||||
// Calculate new range centered on current view
|
||||
const center = (dragStartRange.min + dragStartRange.max) / 2;
|
||||
const newRange = dragStartRange.range * clampedZoom;
|
||||
const newMin = center - newRange / 2;
|
||||
const newMax = center + newRange / 2;
|
||||
|
||||
// Update Y-axis range
|
||||
Plotly.relayout(plotId, {
|
||||
'yaxis.range': [newMin, newMax]
|
||||
});
|
||||
|
||||
event.preventDefault();
|
||||
event.stopPropagation();
|
||||
}
|
||||
};
|
||||
|
||||
// Mouse up handler - end drag (use document level to catch even if mouse leaves element)
|
||||
const handleMouseUp = () => {
|
||||
if (isDraggingYAxis) {
|
||||
isDraggingYAxis = false;
|
||||
dragStartY = null;
|
||||
dragStartRange = null;
|
||||
plotElement.style.cursor = 'default';
|
||||
}
|
||||
};
|
||||
|
||||
// Mouse leave handler - reset cursor but keep dragging state
|
||||
const handleMouseLeave = () => {
|
||||
if (!isDraggingYAxis) {
|
||||
plotElement.style.cursor = 'default';
|
||||
}
|
||||
};
|
||||
|
||||
// Attach event listeners
|
||||
// Use element-level for mousedown and mouseleave (hover detection)
|
||||
plotElement.addEventListener('mousedown', handleMouseDown);
|
||||
plotElement.addEventListener('mouseleave', handleMouseLeave);
|
||||
plotElement.addEventListener('mousemove', handleMouseMove);
|
||||
|
||||
// Use document-level for mousemove and mouseup during drag (works even if mouse leaves element)
|
||||
const handleDocumentMouseMove = (event) => {
|
||||
if (isDraggingYAxis) {
|
||||
handleMouseMove(event);
|
||||
}
|
||||
};
|
||||
|
||||
const handleDocumentMouseUp = () => {
|
||||
if (isDraggingYAxis) {
|
||||
handleMouseUp();
|
||||
}
|
||||
};
|
||||
|
||||
document.addEventListener('mousemove', handleDocumentMouseMove);
|
||||
document.addEventListener('mouseup', handleDocumentMouseUp);
|
||||
|
||||
// Store handlers for cleanup if needed
|
||||
if (!plotElement._yAxisZoomHandlers) {
|
||||
plotElement._yAxisZoomHandlers = {
|
||||
mousedown: handleMouseDown,
|
||||
mousemove: handleMouseMove,
|
||||
mouseleave: handleMouseLeave,
|
||||
documentMousemove: handleDocumentMouseMove,
|
||||
documentMouseup: handleDocumentMouseUp
|
||||
};
|
||||
}
|
||||
|
||||
console.log(`[${timeframe}] Y-axis vertical zoom enabled - drag on left side (Y-axis area) to zoom vertically`);
|
||||
}
|
||||
|
||||
/**
|
||||
* Handle chart click for annotation
|
||||
@@ -2081,6 +2215,12 @@ class ChartManager {
|
||||
};
|
||||
|
||||
validatedCount++;
|
||||
|
||||
// Calculate prediction range vs actual range to diagnose "wide" predictions
|
||||
const predRange = predCandle[1] - predCandle[2]; // High - Low
|
||||
const actualRange = actualCandle[1] - actualCandle[2];
|
||||
const rangeRatio = predRange / actualRange; // >1 means prediction is wider
|
||||
|
||||
console.log(`[${timeframe}] Prediction validated (#${validatedCount}):`, {
|
||||
timestamp: prediction.timestamp,
|
||||
matchedTo: timestamps[matchIdx],
|
||||
@@ -2090,34 +2230,144 @@ class ChartManager {
|
||||
volumeError: pctErrors.volume.toFixed(2) + '%',
|
||||
direction: directionCorrect ? '✓' : '✗',
|
||||
timeDiff: Math.abs(predTime - new Date(timestamps[matchIdx]).getTime()) + 'ms',
|
||||
rangeAnalysis: {
|
||||
predictedRange: predRange.toFixed(2),
|
||||
actualRange: actualRange.toFixed(2),
|
||||
rangeRatio: rangeRatio.toFixed(2) + 'x', // Shows if prediction is wider
|
||||
isWider: rangeRatio > 1.2 ? 'YES (too wide)' : rangeRatio < 0.8 ? 'NO (too narrow)' : 'OK'
|
||||
},
|
||||
predicted: {
|
||||
O: predCandle[0].toFixed(2),
|
||||
H: predCandle[1].toFixed(2),
|
||||
L: predCandle[2].toFixed(2),
|
||||
C: predCandle[3].toFixed(2),
|
||||
V: predCandle[4].toFixed(2)
|
||||
V: predCandle[4].toFixed(2),
|
||||
Range: predRange.toFixed(2)
|
||||
},
|
||||
actual: {
|
||||
O: actualCandle[0].toFixed(2),
|
||||
H: actualCandle[1].toFixed(2),
|
||||
L: actualCandle[2].toFixed(2),
|
||||
C: actualCandle[3].toFixed(2),
|
||||
V: actualCandle[4].toFixed(2)
|
||||
V: actualCandle[4].toFixed(2),
|
||||
Range: actualRange.toFixed(2)
|
||||
}
|
||||
});
|
||||
|
||||
// Send metrics to backend for training feedback
|
||||
this._sendPredictionMetrics(timeframe, prediction);
|
||||
|
||||
// Update overall model accuracy metrics
|
||||
this._updateModelAccuracyMetrics(timeframe, accuracy, directionCorrect);
|
||||
}
|
||||
});
|
||||
|
||||
// Summary log
|
||||
if (validatedCount > 0) {
|
||||
const totalPending = predictions.filter(p => !p.accuracy).length;
|
||||
const avgAccuracy = this.modelAccuracyMetrics[timeframe]?.avgAccuracy || 0;
|
||||
const directionAccuracy = this.modelAccuracyMetrics[timeframe]?.directionAccuracy || 0;
|
||||
console.log(`[${timeframe}] Validated ${validatedCount} predictions, ${totalPending} still pending`);
|
||||
console.log(`[${timeframe}] Model Accuracy: ${avgAccuracy.toFixed(1)}% avg, ${directionAccuracy.toFixed(1)}% direction`);
|
||||
|
||||
// CRITICAL: Re-render predictions to show updated accuracy in tooltips
|
||||
// Trigger a refresh of prediction display
|
||||
this._refreshPredictionDisplay(timeframe);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Update overall model accuracy metrics
|
||||
*/
|
||||
_updateModelAccuracyMetrics(timeframe, accuracy, directionCorrect) {
|
||||
if (!this.modelAccuracyMetrics[timeframe]) {
|
||||
this.modelAccuracyMetrics[timeframe] = {
|
||||
accuracies: [],
|
||||
directionCorrect: [],
|
||||
totalValidated: 0
|
||||
};
|
||||
}
|
||||
|
||||
const metrics = this.modelAccuracyMetrics[timeframe];
|
||||
metrics.accuracies.push(accuracy);
|
||||
metrics.directionCorrect.push(directionCorrect);
|
||||
metrics.totalValidated++;
|
||||
|
||||
// Calculate averages
|
||||
metrics.avgAccuracy = metrics.accuracies.reduce((a, b) => a + b, 0) / metrics.accuracies.length;
|
||||
metrics.directionAccuracy = (metrics.directionCorrect.filter(c => c).length / metrics.directionCorrect.length) * 100;
|
||||
|
||||
// Keep only last 100 validations for rolling average
|
||||
if (metrics.accuracies.length > 100) {
|
||||
metrics.accuracies = metrics.accuracies.slice(-100);
|
||||
metrics.directionCorrect = metrics.directionCorrect.slice(-100);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Refresh prediction display to show updated accuracy
|
||||
*/
|
||||
_refreshPredictionDisplay(timeframe) {
|
||||
const chart = this.charts[timeframe];
|
||||
if (!chart) return;
|
||||
|
||||
const plotId = chart.plotId;
|
||||
const plotElement = document.getElementById(plotId);
|
||||
if (!plotElement) return;
|
||||
|
||||
// Get current predictions from history
|
||||
if (!this.ghostCandleHistory[timeframe] || this.ghostCandleHistory[timeframe].length === 0) {
|
||||
return;
|
||||
}
|
||||
|
||||
// Rebuild prediction traces with updated accuracy
|
||||
const predictionTraces = [];
|
||||
for (const ghost of this.ghostCandleHistory[timeframe]) {
|
||||
this._addGhostCandlePrediction(ghost.candle, timeframe, predictionTraces, ghost.targetTime, ghost.accuracy);
|
||||
}
|
||||
|
||||
// Remove old prediction traces
|
||||
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 updated traces
|
||||
if (predictionTraces.length > 0) {
|
||||
Plotly.addTraces(plotId, predictionTraces);
|
||||
console.log(`[${timeframe}] Refreshed ${predictionTraces.length} prediction candles with updated accuracy`);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Get overall model accuracy metrics for a timeframe
|
||||
*/
|
||||
getModelAccuracyMetrics(timeframe) {
|
||||
if (!this.modelAccuracyMetrics[timeframe]) {
|
||||
return {
|
||||
avgAccuracy: 0,
|
||||
directionAccuracy: 0,
|
||||
totalValidated: 0,
|
||||
recentAccuracies: []
|
||||
};
|
||||
}
|
||||
|
||||
const metrics = this.modelAccuracyMetrics[timeframe];
|
||||
return {
|
||||
avgAccuracy: metrics.avgAccuracy || 0,
|
||||
directionAccuracy: metrics.directionAccuracy || 0,
|
||||
totalValidated: metrics.totalValidated || 0,
|
||||
recentAccuracies: metrics.accuracies.slice(-10) || [] // Last 10 accuracies
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Send prediction accuracy metrics to backend for training feedback
|
||||
*/
|
||||
@@ -2814,6 +3064,169 @@ class ChartManager {
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Add executed trade marker to chart
|
||||
* Shows entry/exit points, PnL, and position lines
|
||||
*/
|
||||
addExecutedTradeMarker(trade, positionState) {
|
||||
try {
|
||||
if (!trade || !trade.timestamp) return;
|
||||
|
||||
// Find which timeframe to display on (prefer 1m, fallback to 1s)
|
||||
const timeframe = this.timeframes.includes('1m') ? '1m' : (this.timeframes.includes('1s') ? '1s' : null);
|
||||
if (!timeframe) return;
|
||||
|
||||
const chart = this.charts[timeframe];
|
||||
if (!chart) return;
|
||||
|
||||
const plotId = chart.plotId;
|
||||
const plotElement = document.getElementById(plotId);
|
||||
if (!plotElement) return;
|
||||
|
||||
// Parse timestamp
|
||||
const timestamp = new Date(trade.timestamp);
|
||||
const year = timestamp.getUTCFullYear();
|
||||
const month = String(timestamp.getUTCMonth() + 1).padStart(2, '0');
|
||||
const day = String(timestamp.getUTCDate()).padStart(2, '0');
|
||||
const hours = String(timestamp.getUTCHours()).padStart(2, '0');
|
||||
const minutes = String(timestamp.getUTCMinutes()).padStart(2, '0');
|
||||
const seconds = String(timestamp.getUTCSeconds()).padStart(2, '0');
|
||||
const formattedTimestamp = `${year}-${month}-${day} ${hours}:${minutes}:${seconds}`;
|
||||
|
||||
// Determine action type and styling
|
||||
let shape, annotation;
|
||||
|
||||
if (trade.action === 'OPEN_LONG') {
|
||||
// Green upward arrow for long entry
|
||||
shape = {
|
||||
type: 'line',
|
||||
x0: formattedTimestamp,
|
||||
x1: formattedTimestamp,
|
||||
y0: trade.price * 0.997,
|
||||
y1: trade.price * 0.993,
|
||||
line: { color: '#10b981', width: 3 },
|
||||
name: `trade_${trade.trade_id}`
|
||||
};
|
||||
annotation = {
|
||||
x: formattedTimestamp,
|
||||
y: trade.price * 0.992,
|
||||
text: `LONG<br>$${trade.price.toFixed(2)}`,
|
||||
showarrow: true,
|
||||
arrowhead: 2,
|
||||
arrowcolor: '#10b981',
|
||||
ax: 0,
|
||||
ay: 30,
|
||||
font: { size: 10, color: '#10b981', weight: 'bold' },
|
||||
bgcolor: 'rgba(16, 185, 129, 0.2)'
|
||||
};
|
||||
} else if (trade.action === 'OPEN_SHORT') {
|
||||
// Red downward arrow for short entry
|
||||
shape = {
|
||||
type: 'line',
|
||||
x0: formattedTimestamp,
|
||||
x1: formattedTimestamp,
|
||||
y0: trade.price * 1.003,
|
||||
y1: trade.price * 1.007,
|
||||
line: { color: '#ef4444', width: 3 },
|
||||
name: `trade_${trade.trade_id}`
|
||||
};
|
||||
annotation = {
|
||||
x: formattedTimestamp,
|
||||
y: trade.price * 1.008,
|
||||
text: `SHORT<br>$${trade.price.toFixed(2)}`,
|
||||
showarrow: true,
|
||||
arrowhead: 2,
|
||||
arrowcolor: '#ef4444',
|
||||
ax: 0,
|
||||
ay: -30,
|
||||
font: { size: 10, color: '#ef4444', weight: 'bold' },
|
||||
bgcolor: 'rgba(239, 68, 68, 0.2)'
|
||||
};
|
||||
} else if (trade.action === 'CLOSE_LONG' || trade.action === 'CLOSE_SHORT') {
|
||||
// Exit marker with PnL
|
||||
const isProfit = trade.pnl > 0;
|
||||
const color = isProfit ? '#10b981' : '#ef4444';
|
||||
const positionType = trade.action === 'CLOSE_LONG' ? 'LONG' : 'SHORT';
|
||||
|
||||
shape = {
|
||||
type: 'line',
|
||||
x0: formattedTimestamp,
|
||||
x1: formattedTimestamp,
|
||||
y0: trade.price,
|
||||
y1: trade.price,
|
||||
line: { color: color, width: 4, dash: 'dot' },
|
||||
name: `trade_${trade.trade_id}_exit`
|
||||
};
|
||||
annotation = {
|
||||
x: formattedTimestamp,
|
||||
y: trade.price,
|
||||
text: `EXIT ${positionType}<br>$${trade.price.toFixed(2)}<br>PnL: ${isProfit ? '+' : ''}$${trade.pnl.toFixed(2)} (${trade.pnl_pct >= 0 ? '+' : ''}${trade.pnl_pct.toFixed(2)}%)`,
|
||||
showarrow: true,
|
||||
arrowhead: 1,
|
||||
arrowcolor: color,
|
||||
ax: 0,
|
||||
ay: isProfit ? -40 : 40,
|
||||
font: { size: 10, color: color, weight: 'bold' },
|
||||
bgcolor: isProfit ? 'rgba(16, 185, 129, 0.3)' : 'rgba(239, 68, 68, 0.3)'
|
||||
};
|
||||
|
||||
// Add position line connecting entry to exit if entry time available
|
||||
if (trade.entry_time) {
|
||||
const entryTimestamp = new Date(trade.entry_time);
|
||||
const entryYear = entryTimestamp.getUTCFullYear();
|
||||
const entryMonth = String(entryTimestamp.getUTCMonth() + 1).padStart(2, '0');
|
||||
const entryDay = String(entryTimestamp.getUTCDate()).padStart(2, '0');
|
||||
const entryHours = String(entryTimestamp.getUTCHours()).padStart(2, '0');
|
||||
const entryMinutes = String(entryTimestamp.getUTCMinutes()).padStart(2, '0');
|
||||
const entrySeconds = String(entryTimestamp.getUTCSeconds()).padStart(2, '0');
|
||||
const formattedEntryTime = `${entryYear}-${entryMonth}-${entryDay} ${entryHours}:${entryMinutes}:${entrySeconds}`;
|
||||
|
||||
const positionLine = {
|
||||
type: 'rect',
|
||||
x0: formattedEntryTime,
|
||||
x1: formattedTimestamp,
|
||||
y0: trade.entry_price,
|
||||
y1: trade.price,
|
||||
fillcolor: isProfit ? 'rgba(16, 185, 129, 0.1)' : 'rgba(239, 68, 68, 0.1)',
|
||||
line: { color: color, width: 2, dash: isProfit ? 'solid' : 'dash' },
|
||||
name: `position_${trade.trade_id}`
|
||||
};
|
||||
|
||||
// Add both position rectangle and exit marker
|
||||
const currentShapes = plotElement.layout.shapes || [];
|
||||
Plotly.relayout(plotId, {
|
||||
shapes: [...currentShapes, positionLine, shape]
|
||||
});
|
||||
} else {
|
||||
// Just add exit marker
|
||||
const currentShapes = plotElement.layout.shapes || [];
|
||||
Plotly.relayout(plotId, {
|
||||
shapes: [...currentShapes, shape]
|
||||
});
|
||||
}
|
||||
} else {
|
||||
// Entry marker only (no position line yet)
|
||||
const currentShapes = plotElement.layout.shapes || [];
|
||||
Plotly.relayout(plotId, {
|
||||
shapes: [...currentShapes, shape]
|
||||
});
|
||||
}
|
||||
|
||||
// Add annotation
|
||||
if (annotation) {
|
||||
const currentAnnotations = plotElement.layout.annotations || [];
|
||||
Plotly.relayout(plotId, {
|
||||
annotations: [...currentAnnotations, annotation]
|
||||
});
|
||||
}
|
||||
|
||||
console.log(`Added executed trade marker: ${trade.action} @ ${trade.price.toFixed(2)}`);
|
||||
|
||||
} catch (error) {
|
||||
console.error('Error adding executed trade marker:', error);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Remove live metrics overlay
|
||||
*/
|
||||
|
||||
Reference in New Issue
Block a user