save/load data anotations
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@@ -3,6 +3,22 @@
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{% block title %}Trade Annotation Dashboard{% endblock %}
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{% block content %}
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<!-- Live Mode Banner -->
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<div id="live-mode-banner" class="alert alert-success mb-0" style="display: none; border-radius: 0;">
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<div class="container-fluid">
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<div class="d-flex align-items-center justify-content-between">
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<div>
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<span class="badge bg-danger me-2">🔴 LIVE</span>
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<strong>Real-Time Inference Active</strong>
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<span class="ms-3 small">Charts updating with live data every second</span>
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</div>
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<div>
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<span class="badge bg-light text-dark" id="live-update-count">0 updates</span>
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</div>
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</div>
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</div>
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</div>
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<div class="row mt-3">
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<!-- Left Sidebar - Controls -->
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<div class="col-md-2">
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@@ -96,9 +112,15 @@
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window.appState.chartManager.initializeCharts(data.chart_data);
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// Load existing annotations
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console.log('Loading', window.appState.annotations.length, 'existing annotations');
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window.appState.annotations.forEach(annotation => {
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window.appState.chartManager.addAnnotation(annotation);
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});
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// Update annotation list
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if (typeof renderAnnotationsList === 'function') {
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renderAnnotationsList(window.appState.annotations);
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}
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} else {
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showError('Failed to load chart data: ' + data.error.message);
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}
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@@ -59,12 +59,34 @@
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</div>
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</div>
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<!-- Inference Simulation -->
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<!-- Real-Time Inference -->
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<div class="mb-3">
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<button class="btn btn-secondary btn-sm w-100" id="simulate-inference-btn">
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<i class="fas fa-brain"></i>
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Simulate Inference
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<label class="form-label small">Real-Time Inference</label>
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<button class="btn btn-success btn-sm w-100" id="start-inference-btn">
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<i class="fas fa-play"></i>
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Start Live Inference
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</button>
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<button class="btn btn-danger btn-sm w-100 mt-1" id="stop-inference-btn" style="display: none;">
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<i class="fas fa-stop"></i>
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Stop Inference
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</button>
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</div>
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<!-- Inference Status -->
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<div id="inference-status" style="display: none;">
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<div class="alert alert-success py-2 px-2 mb-2">
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<div class="d-flex align-items-center mb-1">
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<div class="spinner-border spinner-border-sm me-2" role="status">
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<span class="visually-hidden">Running...</span>
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</div>
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<strong class="small">🔴 LIVE</strong>
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</div>
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<div class="small">
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<div>Signal: <span id="latest-signal" class="fw-bold">--</span></div>
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<div>Confidence: <span id="latest-confidence">--</span></div>
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<div class="text-muted" style="font-size: 0.7rem;">Charts updating every 1s</div>
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</div>
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</div>
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</div>
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<!-- Test Case Stats -->
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@@ -231,22 +253,232 @@
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showSuccess('Training completed successfully');
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}
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// Simulate inference button
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document.getElementById('simulate-inference-btn').addEventListener('click', function() {
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// Real-time inference controls
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let currentInferenceId = null;
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let signalPollInterval = null;
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document.getElementById('start-inference-btn').addEventListener('click', function() {
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const modelName = document.getElementById('model-select').value;
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if (appState.annotations.length === 0) {
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showError('No annotations available for inference simulation');
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if (!modelName) {
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showError('Please select a model first');
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return;
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}
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// Open inference modal
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const modal = new bootstrap.Modal(document.getElementById('inferenceModal'));
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modal.show();
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// Start inference simulation
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if (appState.trainingController) {
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appState.trainingController.simulateInference(modelName, appState.annotations);
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}
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// Start real-time inference
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fetch('/api/realtime-inference/start', {
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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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model_name: modelName,
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symbol: appState.currentSymbol
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})
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})
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.then(response => response.json())
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.then(data => {
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if (data.success) {
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currentInferenceId = data.inference_id;
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// Update UI
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document.getElementById('start-inference-btn').style.display = 'none';
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document.getElementById('stop-inference-btn').style.display = 'block';
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document.getElementById('inference-status').style.display = 'block';
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// Start polling for signals
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startSignalPolling();
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showSuccess('Real-time inference started');
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} else {
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showError('Failed to start inference: ' + data.error.message);
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}
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})
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.catch(error => {
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showError('Network error: ' + error.message);
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});
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});
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document.getElementById('stop-inference-btn').addEventListener('click', function() {
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if (!currentInferenceId) return;
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// Stop real-time inference
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fetch('/api/realtime-inference/stop', {
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method: 'POST',
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headers: {'Content-Type': 'application/json'},
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body: JSON.stringify({inference_id: currentInferenceId})
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})
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.then(response => response.json())
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.then(data => {
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if (data.success) {
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// Update UI
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document.getElementById('start-inference-btn').style.display = 'block';
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document.getElementById('stop-inference-btn').style.display = 'none';
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document.getElementById('inference-status').style.display = 'none';
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// Stop polling
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stopSignalPolling();
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currentInferenceId = null;
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showSuccess('Real-time inference stopped');
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}
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})
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.catch(error => {
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showError('Network error: ' + error.message);
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});
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});
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function startSignalPolling() {
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signalPollInterval = setInterval(function() {
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// Poll for signals
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fetch('/api/realtime-inference/signals')
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.then(response => response.json())
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.then(data => {
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if (data.success && data.signals.length > 0) {
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const latest = data.signals[0];
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document.getElementById('latest-signal').textContent = latest.action;
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document.getElementById('latest-confidence').textContent =
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(latest.confidence * 100).toFixed(1) + '%';
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// Update chart with signal markers
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if (appState.chartManager) {
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displaySignalOnChart(latest);
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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 polling signals:', error);
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});
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// Update charts with latest data
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updateChartsWithLiveData();
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}, 1000); // Poll every second
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}
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function updateChartsWithLiveData() {
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// Fetch latest chart data
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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: appState.currentSymbol,
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timeframes: appState.currentTimeframes,
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start_time: null,
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end_time: null
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})
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})
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.then(response => response.json())
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.then(data => {
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if (data.success && appState.chartManager) {
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// Update each chart with new data
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Object.keys(data.chart_data).forEach(timeframe => {
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const chartData = data.chart_data[timeframe];
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if (appState.chartManager.charts[timeframe]) {
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updateSingleChart(timeframe, chartData);
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}
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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 charts:', error);
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});
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}
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function updateSingleChart(timeframe, newData) {
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const chart = appState.chartManager.charts[timeframe];
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if (!chart) return;
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// Update candlestick data
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Plotly.update(chart.plotId, {
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x: [newData.timestamps],
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open: [newData.open],
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high: [newData.high],
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low: [newData.low],
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close: [newData.close]
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}, {}, [0]);
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// Update volume data
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const volumeColors = newData.close.map((close, i) => {
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if (i === 0) return '#3b82f6';
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return close >= newData.open[i] ? '#10b981' : '#ef4444';
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});
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Plotly.update(chart.plotId, {
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x: [newData.timestamps],
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y: [newData.volume],
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'marker.color': [volumeColors]
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}, {}, [1]);
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}
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function stopSignalPolling() {
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if (signalPollInterval) {
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clearInterval(signalPollInterval);
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signalPollInterval = null;
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}
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}
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function displaySignalOnChart(signal) {
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// Add signal marker to chart
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if (!appState.chartManager || !appState.chartManager.charts) return;
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// Add marker to all timeframe charts
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Object.keys(appState.chartManager.charts).forEach(timeframe => {
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const chart = appState.chartManager.charts[timeframe];
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if (!chart) return;
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// Get current annotations
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const currentAnnotations = chart.element.layout.annotations || [];
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// Determine marker based on signal
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let markerText = '';
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let markerColor = '#9ca3af';
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if (signal.action === 'BUY') {
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markerText = '🔵 BUY';
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markerColor = '#10b981';
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} else if (signal.action === 'SELL') {
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markerText = '🔴 SELL';
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markerColor = '#ef4444';
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} else {
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return; // Don't show HOLD signals
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}
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// Add new signal marker
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const newAnnotation = {
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x: signal.timestamp,
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y: signal.price,
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text: markerText,
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showarrow: true,
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arrowhead: 2,
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ax: 0,
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ay: -40,
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font: {
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size: 12,
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color: markerColor
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},
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bgcolor: '#1f2937',
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bordercolor: markerColor,
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borderwidth: 2,
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borderpad: 4,
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opacity: 0.8
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};
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// Keep only last 10 signal markers
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const signalAnnotations = currentAnnotations.filter(ann =>
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ann.text && (ann.text.includes('BUY') || ann.text.includes('SELL'))
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).slice(-9);
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// Combine with existing non-signal annotations
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const otherAnnotations = currentAnnotations.filter(ann =>
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!ann.text || (!ann.text.includes('BUY') && !ann.text.includes('SELL'))
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);
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const allAnnotations = [...otherAnnotations, ...signalAnnotations, newAnnotation];
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// Update chart
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Plotly.relayout(chart.plotId, {
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annotations: allAnnotations
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});
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});
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console.log('Signal displayed:', signal.action, '@', signal.price);
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}
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</script>
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