- Promoted prototype dashboard to main app - Added /api/market-data endpoint - Implemented market_simulator.py for realistic OHLCV generation - Updated MoomooClient to serve simulated scenarios - Wired frontend to backend API
414 lines
12 KiB
JavaScript
414 lines
12 KiB
JavaScript
/*
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* Quantitative Trading Platform - Interactive Mockup
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* Mock data generation for charts and displays
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*/
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// Chart initialization
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function initCharts() {
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// Initialize Portfolio Chart
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initPortfolioChart();
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// Initialize Data Quality Chart
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initDataQualityChart();
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// Initialize Backtest Chart
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initBacktestChart();
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// Initialize Risk Chart
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initRiskChart();
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}
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// Portfolio Performance Chart
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function initPortfolioChart() {
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const ctx = document.getElementById('portfolioChart');
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if (!ctx) return;
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const data = generatePortfolioData();
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AppState.charts.portfolioChart = new Chart(ctx, {
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type: 'line',
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data: {
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labels: data.map(d => d.date),
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datasets: [{
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label: 'Portfolio Value',
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data: data.map(d => d.value),
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borderColor: '#4caf50',
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backgroundColor: 'rgba(76, 175, 80, 0.1)',
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fill: true,
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tension: 0.4,
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pointRadius: 2,
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pointHoverRadius: 5
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}]
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},
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options: {
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responsive: true,
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maintainAspectRatio: false,
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plugins: {
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legend: {
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display: false
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},
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tooltip: {
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mode: 'index',
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intersect: false,
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callbacks: {
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label: function(context) {
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return `$${context.parsed.y.toLocaleString()}`;
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}
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}
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}
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},
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scales: {
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x: {
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grid: {
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color: 'rgba(255, 255, 255, 0.05)'
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},
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ticks: {
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color: '#b0bec5'
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}
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},
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y: {
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grid: {
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color: 'rgba(255, 255, 255, 0.05)'
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},
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ticks: {
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color: '#b0bec5',
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callback: function(value) {
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return '$' + (value / 1000).toFixed(0) + 'k';
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}
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}
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}
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}
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}
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});
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}
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// Data Quality Chart
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function initDataQualityChart() {
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const ctx = document.getElementById('dataQualityChart');
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if (!ctx) return;
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const data = generateDataQualityData();
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AppState.charts.dataQualityChart = new Chart(ctx, {
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type: 'line',
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data: {
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labels: data.map(d => d.date),
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datasets: [
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{
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label: 'Completeness (%)',
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data: data.map(d => d.completeness),
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borderColor: '#4caf50',
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backgroundColor: 'rgba(76, 175, 80, 0.1)',
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fill: true,
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tension: 0.4,
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yAxisID: 'y'
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},
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{
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label: 'Latency (ms)',
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data: data.map(d => d.latency),
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borderColor: '#2196f3',
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backgroundColor: 'rgba(33, 150, 243, 0.1)',
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fill: true,
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tension: 0.4,
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yAxisID: 'y1'
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}
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]
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},
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options: {
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responsive: true,
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maintainAspectRatio: false,
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plugins: {
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legend: {
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position: 'top',
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labels: {
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color: '#b0bec5'
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}
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}
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},
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scales: {
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x: {
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grid: {
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color: 'rgba(255, 255, 255, 0.05)'
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},
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ticks: {
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color: '#b0bec5'
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}
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},
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y: {
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type: 'linear',
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display: true,
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position: 'left',
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min: 80,
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max: 100,
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grid: {
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color: 'rgba(255, 255, 255, 0.05)'
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},
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ticks: {
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color: '#b0bec5',
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callback: function(value) {
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return value + '%';
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}
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}
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},
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y1: {
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type: 'linear',
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display: true,
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position: 'right',
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min: 0,
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max: 30,
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grid: {
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drawOnChartArea: false
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},
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ticks: {
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color: '#b0bec5',
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callback: function(value) {
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return value + 'ms';
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}
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}
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}
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}
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}
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});
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}
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// Backtest Results Chart
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function initBacktestChart() {
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const ctx = document.getElementById('backtestChart');
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if (!ctx) return;
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const data = generateBacktestData();
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AppState.charts.backtestChart = new Chart(ctx, {
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type: 'line',
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data: {
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labels: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'],
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datasets: data.map((strategy, index) => {
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const colors = ['#4caf50', '#2196f3', '#9c27b0'];
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return {
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label: strategy.strategy,
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data: strategy.returns,
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borderColor: colors[index],
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backgroundColor: colors[index] + '20',
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fill: false,
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tension: 0.4
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};
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})
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},
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options: {
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responsive: true,
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maintainAspectRatio: false,
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plugins: {
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legend: {
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position: 'top',
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labels: {
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color: '#b0bec5'
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}
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}
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},
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scales: {
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x: {
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grid: {
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color: 'rgba(255, 255, 255, 0.05)'
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},
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ticks: {
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color: '#b0bec5'
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}
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},
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y: {
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grid: {
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color: 'rgba(255, 255, 255, 0.05)'
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},
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ticks: {
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color: '#b0bec5',
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callback: function(value) {
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return '$' + value.toLocaleString();
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}
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}
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}
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}
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}
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});
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}
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// Risk Management Chart
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function initRiskChart() {
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const ctx = document.getElementById('riskChart');
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if (!ctx) return;
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const data = generateRiskData();
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AppState.charts.riskChart = new Chart(ctx, {
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type: 'radar',
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data: {
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labels: data.map(d => d.metric),
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datasets: [{
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label: 'Risk Metrics',
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data: data.map(d => d.values[0]),
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backgroundColor: 'rgba(255, 152, 0, 0.2)',
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borderColor: 'rgba(255, 152, 0, 1)',
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pointBackgroundColor: 'rgba(255, 152, 0, 1)',
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pointBorderColor: '#fff',
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pointHoverBackgroundColor: '#fff',
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pointHoverBorderColor: 'rgba(255, 152, 0, 1)'
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}]
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},
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options: {
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responsive: true,
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maintainAspectRatio: false,
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plugins: {
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legend: {
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display: false
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}
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},
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scales: {
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r: {
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angleLines: {
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color: 'rgba(255, 255, 255, 0.1)'
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},
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grid: {
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color: 'rgba(255, 255, 255, 0.1)'
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},
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pointLabels: {
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color: '#b0bec5'
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},
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ticks: {
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color: '#b0bec5',
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backdropColor: 'transparent'
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},
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min: 0,
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max: 10
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}
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}
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}
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});
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}
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// Update functions for live data
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function updatePortfolioChart() {
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if (!AppState.charts.portfolioChart) return;
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const newData = generatePortfolioData();
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AppState.charts.portfolioChart.data.labels = newData.map(d => d.date);
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AppState.charts.portfolioChart.data.datasets[0].data = newData.map(d => d.value);
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AppState.charts.portfolioChart.update('none');
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}
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function updateDataQualityChart() {
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if (!AppState.charts.dataQualityChart) return;
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const newData = generateDataQualityData();
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AppState.charts.dataQualityChart.data.labels = newData.map(d => d.date);
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AppState.charts.dataQualityChart.data.datasets[0].data = newData.map(d => d.completeness);
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AppState.charts.dataQualityChart.data.datasets[1].data = newData.map(d => d.latency);
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AppState.charts.dataQualityChart.update('none');
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}
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function updateBacktestChart() {
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if (!AppState.charts.backtestChart) return;
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const newData = generateBacktestData();
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newData.forEach((strategy, index) => {
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AppState.charts.backtestChart.data.datasets[index].data = strategy.returns;
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});
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AppState.charts.backtestChart.update('none');
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}
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function updateRiskChart() {
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if (!AppState.charts.riskChart) return;
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const newData = generateRiskData();
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AppState.charts.riskChart.data.datasets[0].data = newData.map(d => d.values[0]);
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AppState.charts.riskChart.update('none');
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}
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// Data generation functions (same as in app.js but exported for use)
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function generatePortfolioData() {
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const data = [];
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let value = 100000;
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for (let i = 0; i < 30; i++) {
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const date = new Date();
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date.setDate(date.getDate() - (30 - i));
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const change = (Math.random() - 0.4) * 0.02 * value;
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value += change;
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data.push({
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date: date.toLocaleDateString('en-US', { month: 'short', day: 'numeric' }),
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value: Math.max(90000, value)
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});
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}
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return data;
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}
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function generateDataQualityData() {
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const data = [];
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for (let i = 0; i < 7; i++) {
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const date = new Date();
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date.setDate(date.getDate() - (7 - i));
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data.push({
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date: date.toLocaleDateString('en-US', { weekday: 'short' }),
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completeness: 90 + Math.random() * 8,
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latency: 5 + Math.random() * 15,
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errors: Math.floor(Math.random() * 5)
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});
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}
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return data;
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}
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function generateBacktestData() {
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const strategies = ['Dual Momentum', 'Mean Reversion', 'Pairs Trading'];
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const data = [];
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strategies.forEach(strategy => {
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let returns = 100;
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const returnsData = [];
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for (let i = 0; i < 12; i++) {
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const monthlyReturn = (Math.random() - 0.2) * 0.1;
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returns *= (1 + monthlyReturn);
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returnsData.push(returns);
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}
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data.push({
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strategy,
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returns: returnsData,
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sharpe: 0.8 + Math.random() * 1.5,
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winRate: 50 + Math.random() * 30
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});
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});
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return data;
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}
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function generateRiskData() {
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const metrics = ['VaR', 'CVaR', 'Max Drawdown', 'Volatility'];
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const data = [];
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metrics.forEach(metric => {
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const values = [];
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for (let i = 0; i < 10; i++) {
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values.push(Math.random() * 10);
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}
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data.push({ metric, values });
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});
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return data;
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}
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// Export for use in other scripts
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window.MockData = {
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initCharts,
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updatePortfolioChart,
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updateDataQualityChart,
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updateBacktestChart,
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updateRiskChart,
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generatePortfolioData,
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generateDataQualityData,
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generateBacktestData,
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generateRiskData
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}; |