Add interactive platform prototype
- Complete clickable mockup showing full platform UI/UX - Dashboard with real-time metrics and charts - Data management interface with API connectors - Strategy engine configuration and backtesting - Risk management controls and monitoring - Navigation between all platform sections - Dark theme with professional trading aesthetic - Responsive design for mobile/desktop - Interactive charts using Chart.js with mock data - Reusable HTML/CSS/JavaScript structure - Updated README with prototype documentation
This commit is contained in:
346
prototype/js/app.js
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346
prototype/js/app.js
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/*
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* Quantitative Trading Platform - Interactive Mockup
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* Main JavaScript for navigation and interactivity
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*/
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// Global state
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const AppState = {
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currentSection: 'dashboard',
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charts: {},
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mockData: {}
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};
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// Initialize the application
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function initApp() {
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console.log('Quantitative Trading Platform Mockup Initialized');
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// Set up navigation
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setupNavigation();
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// Load mock data
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loadMockData();
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// Initialize charts
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initCharts();
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// Show default section
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showSection('dashboard');
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// Set up event listeners for interactive elements
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setupEventListeners();
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}
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// Set up sidebar navigation
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function setupNavigation() {
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const navLinks = document.querySelectorAll('.nav-link[data-section]');
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navLinks.forEach(link => {
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link.addEventListener('click', function(e) {
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e.preventDefault();
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const section = this.getAttribute('data-section');
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showSection(section);
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// Update active state
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navLinks.forEach(l => l.classList.remove('active'));
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this.classList.add('active');
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});
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});
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}
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// Show a specific section
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function showSection(sectionId) {
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// Hide all sections
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const sections = document.querySelectorAll('.section-content');
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sections.forEach(section => {
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section.classList.add('d-none');
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});
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// Show the selected section
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const targetSection = document.getElementById(`${sectionId}-section`);
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if (targetSection) {
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targetSection.classList.remove('d-none');
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AppState.currentSection = sectionId;
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// Update page title
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const sectionTitle = targetSection.querySelector('h1, h2')?.textContent || 'Quantitative Trading Platform';
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document.title = `${sectionTitle} - Mockup`;
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// Refresh charts for the section if needed
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refreshSectionCharts(sectionId);
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}
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}
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// Refresh charts for a specific section
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function refreshSectionCharts(sectionId) {
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switch(sectionId) {
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case 'dashboard':
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if (AppState.charts.portfolioChart) {
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updatePortfolioChart();
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}
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break;
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case 'data-management':
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if (AppState.charts.dataQualityChart) {
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updateDataQualityChart();
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}
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break;
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case 'strategy-engine':
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if (AppState.charts.backtestChart) {
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updateBacktestChart();
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}
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break;
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case 'risk-management':
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if (AppState.charts.riskChart) {
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updateRiskChart();
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}
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break;
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}
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}
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// Set up event listeners for buttons and interactive elements
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function setupEventListeners() {
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// Refresh buttons
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const refreshButtons = document.querySelectorAll('button:contains("Refresh"), .btn-refresh');
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refreshButtons.forEach(btn => {
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btn.addEventListener('click', function() {
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const section = AppState.currentSection;
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refreshSectionCharts(section);
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// Show toast notification
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showToast('Data refreshed', 'success');
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});
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});
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// Form submissions
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const forms = document.querySelectorAll('form');
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forms.forEach(form => {
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form.addEventListener('submit', function(e) {
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e.preventDefault();
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showToast('Settings saved successfully', 'success');
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});
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});
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// Toggle buttons
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const toggleButtons = document.querySelectorAll('.btn[data-toggle]');
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toggleButtons.forEach(btn => {
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btn.addEventListener('click', function() {
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const target = this.getAttribute('data-toggle');
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const state = this.getAttribute('data-state');
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if (target && state) {
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// Toggle state
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const newState = state === 'on' ? 'off' : 'on';
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this.setAttribute('data-state', newState);
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// Update button appearance
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if (newState === 'on') {
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this.classList.remove('btn-outline-secondary');
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this.classList.add('btn-success');
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this.innerHTML = '<i class="bi bi-toggle-on me-1"></i> ON';
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} else {
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this.classList.remove('btn-success');
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this.classList.add('btn-outline-secondary');
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this.innerHTML = '<i class="bi bi-toggle-off me-1"></i> OFF';
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}
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showToast(`Feature ${newState === 'on' ? 'enabled' : 'disabled'}`, 'info');
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}
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});
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});
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// Tab clicks
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const tabs = document.querySelectorAll('[data-bs-toggle="tab"]');
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tabs.forEach(tab => {
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tab.addEventListener('shown.bs.tab', function() {
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const tabId = this.getAttribute('data-bs-target');
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console.log(`Tab activated: ${tabId}`);
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});
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});
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// Simulate live data updates
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setInterval(updateLiveData, 5000);
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}
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// Update live data (simulated)
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function updateLiveData() {
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if (AppState.currentSection === 'dashboard') {
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// Update metrics with small random changes
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updateDashboardMetrics();
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}
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}
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// Update dashboard metrics with random changes
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function updateDashboardMetrics() {
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const metrics = {
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'total-pnl': { base: 42580, range: 500 },
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'max-drawdown': { base: 8420, range: 200 },
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'win-rate': { base: 64.8, range: 1.5 }
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};
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for (const [id, config] of Object.entries(metrics)) {
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const element = document.getElementById(id);
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if (element) {
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const current = parseFloat(element.textContent.replace(/[^\d.-]/g, ''));
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const change = (Math.random() - 0.5) * 2 * config.range;
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const newValue = config.base + change;
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// Format based on metric type
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if (id === 'total-pnl' || id === 'max-drawdown') {
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element.textContent = `$${Math.round(newValue).toLocaleString()}`;
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} else if (id === 'win-rate') {
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element.textContent = `${newValue.toFixed(1)}%`;
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}
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// Add subtle animation
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element.classList.add('text-highlight');
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setTimeout(() => {
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element.classList.remove('text-highlight');
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}, 1000);
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}
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}
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}
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// Show toast notification
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function showToast(message, type = 'info') {
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// Create toast container if it doesn't exist
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let toastContainer = document.getElementById('toast-container');
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if (!toastContainer) {
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toastContainer = document.createElement('div');
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toastContainer.id = 'toast-container';
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toastContainer.className = 'toast-container position-fixed bottom-0 end-0 p-3';
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document.body.appendChild(toastContainer);
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}
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// Create toast
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const toastId = 'toast-' + Date.now();
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const toast = document.createElement('div');
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toast.id = toastId;
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toast.className = `toast align-items-center text-bg-${type} border-0`;
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toast.setAttribute('role', 'alert');
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toast.setAttribute('aria-live', 'assertive');
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toast.setAttribute('aria-atomic', 'true');
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toast.innerHTML = `
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<div class="d-flex">
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<div class="toast-body">
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${message}
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</div>
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<button type="button" class="btn-close btn-close-white me-2 m-auto" data-bs-dismiss="toast" aria-label="Close"></button>
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</div>
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`;
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toastContainer.appendChild(toast);
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// Initialize and show toast
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const bsToast = new bootstrap.Toast(toast, { delay: 3000 });
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bsToast.show();
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// Remove toast after it's hidden
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toast.addEventListener('hidden.bs.toast', function() {
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toast.remove();
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});
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}
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// Load mock data
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function loadMockData() {
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// Generate mock data for charts
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AppState.mockData = {
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portfolioData: generatePortfolioData(),
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dataQualityData: generateDataQualityData(),
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backtestData: generateBacktestData(),
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riskData: generateRiskData()
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};
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}
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// Generate mock portfolio data
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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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// Random walk with drift
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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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// Generate mock data quality data
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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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// Generate mock backtest data
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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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// Generate mock risk data
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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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// Initialize when DOM is loaded
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document.addEventListener('DOMContentLoaded', initApp);
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// Export for use in other scripts
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window.App = {
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showSection,
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showToast,
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refreshSectionCharts,
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state: AppState
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};
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414
prototype/js/mock-data.js
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414
prototype/js/mock-data.js
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/*
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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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||||
})
|
||||
},
|
||||
options: {
|
||||
responsive: true,
|
||||
maintainAspectRatio: false,
|
||||
plugins: {
|
||||
legend: {
|
||||
position: 'top',
|
||||
labels: {
|
||||
color: '#b0bec5'
|
||||
}
|
||||
}
|
||||
},
|
||||
scales: {
|
||||
x: {
|
||||
grid: {
|
||||
color: 'rgba(255, 255, 255, 0.05)'
|
||||
},
|
||||
ticks: {
|
||||
color: '#b0bec5'
|
||||
}
|
||||
},
|
||||
y: {
|
||||
grid: {
|
||||
color: 'rgba(255, 255, 255, 0.05)'
|
||||
},
|
||||
ticks: {
|
||||
color: '#b0bec5',
|
||||
callback: function(value) {
|
||||
return '$' + value.toLocaleString();
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
// Risk Management Chart
|
||||
function initRiskChart() {
|
||||
const ctx = document.getElementById('riskChart');
|
||||
if (!ctx) return;
|
||||
|
||||
const data = generateRiskData();
|
||||
|
||||
AppState.charts.riskChart = new Chart(ctx, {
|
||||
type: 'radar',
|
||||
data: {
|
||||
labels: data.map(d => d.metric),
|
||||
datasets: [{
|
||||
label: 'Risk Metrics',
|
||||
data: data.map(d => d.values[0]),
|
||||
backgroundColor: 'rgba(255, 152, 0, 0.2)',
|
||||
borderColor: 'rgba(255, 152, 0, 1)',
|
||||
pointBackgroundColor: 'rgba(255, 152, 0, 1)',
|
||||
pointBorderColor: '#fff',
|
||||
pointHoverBackgroundColor: '#fff',
|
||||
pointHoverBorderColor: 'rgba(255, 152, 0, 1)'
|
||||
}]
|
||||
},
|
||||
options: {
|
||||
responsive: true,
|
||||
maintainAspectRatio: false,
|
||||
plugins: {
|
||||
legend: {
|
||||
display: false
|
||||
}
|
||||
},
|
||||
scales: {
|
||||
r: {
|
||||
angleLines: {
|
||||
color: 'rgba(255, 255, 255, 0.1)'
|
||||
},
|
||||
grid: {
|
||||
color: 'rgba(255, 255, 255, 0.1)'
|
||||
},
|
||||
pointLabels: {
|
||||
color: '#b0bec5'
|
||||
},
|
||||
ticks: {
|
||||
color: '#b0bec5',
|
||||
backdropColor: 'transparent'
|
||||
},
|
||||
min: 0,
|
||||
max: 10
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
// Update functions for live data
|
||||
function updatePortfolioChart() {
|
||||
if (!AppState.charts.portfolioChart) return;
|
||||
|
||||
const newData = generatePortfolioData();
|
||||
AppState.charts.portfolioChart.data.labels = newData.map(d => d.date);
|
||||
AppState.charts.portfolioChart.data.datasets[0].data = newData.map(d => d.value);
|
||||
AppState.charts.portfolioChart.update('none');
|
||||
}
|
||||
|
||||
function updateDataQualityChart() {
|
||||
if (!AppState.charts.dataQualityChart) return;
|
||||
|
||||
const newData = generateDataQualityData();
|
||||
AppState.charts.dataQualityChart.data.labels = newData.map(d => d.date);
|
||||
AppState.charts.dataQualityChart.data.datasets[0].data = newData.map(d => d.completeness);
|
||||
AppState.charts.dataQualityChart.data.datasets[1].data = newData.map(d => d.latency);
|
||||
AppState.charts.dataQualityChart.update('none');
|
||||
}
|
||||
|
||||
function updateBacktestChart() {
|
||||
if (!AppState.charts.backtestChart) return;
|
||||
|
||||
const newData = generateBacktestData();
|
||||
newData.forEach((strategy, index) => {
|
||||
AppState.charts.backtestChart.data.datasets[index].data = strategy.returns;
|
||||
});
|
||||
AppState.charts.backtestChart.update('none');
|
||||
}
|
||||
|
||||
function updateRiskChart() {
|
||||
if (!AppState.charts.riskChart) return;
|
||||
|
||||
const newData = generateRiskData();
|
||||
AppState.charts.riskChart.data.datasets[0].data = newData.map(d => d.values[0]);
|
||||
AppState.charts.riskChart.update('none');
|
||||
}
|
||||
|
||||
// Data generation functions (same as in app.js but exported for use)
|
||||
function generatePortfolioData() {
|
||||
const data = [];
|
||||
let value = 100000;
|
||||
|
||||
for (let i = 0; i < 30; i++) {
|
||||
const date = new Date();
|
||||
date.setDate(date.getDate() - (30 - i));
|
||||
|
||||
const change = (Math.random() - 0.4) * 0.02 * value;
|
||||
value += change;
|
||||
|
||||
data.push({
|
||||
date: date.toLocaleDateString('en-US', { month: 'short', day: 'numeric' }),
|
||||
value: Math.max(90000, value)
|
||||
});
|
||||
}
|
||||
|
||||
return data;
|
||||
}
|
||||
|
||||
function generateDataQualityData() {
|
||||
const data = [];
|
||||
|
||||
for (let i = 0; i < 7; i++) {
|
||||
const date = new Date();
|
||||
date.setDate(date.getDate() - (7 - i));
|
||||
|
||||
data.push({
|
||||
date: date.toLocaleDateString('en-US', { weekday: 'short' }),
|
||||
completeness: 90 + Math.random() * 8,
|
||||
latency: 5 + Math.random() * 15,
|
||||
errors: Math.floor(Math.random() * 5)
|
||||
});
|
||||
}
|
||||
|
||||
return data;
|
||||
}
|
||||
|
||||
function generateBacktestData() {
|
||||
const strategies = ['Dual Momentum', 'Mean Reversion', 'Pairs Trading'];
|
||||
const data = [];
|
||||
|
||||
strategies.forEach(strategy => {
|
||||
let returns = 100;
|
||||
const returnsData = [];
|
||||
|
||||
for (let i = 0; i < 12; i++) {
|
||||
const monthlyReturn = (Math.random() - 0.2) * 0.1;
|
||||
returns *= (1 + monthlyReturn);
|
||||
returnsData.push(returns);
|
||||
}
|
||||
|
||||
data.push({
|
||||
strategy,
|
||||
returns: returnsData,
|
||||
sharpe: 0.8 + Math.random() * 1.5,
|
||||
winRate: 50 + Math.random() * 30
|
||||
});
|
||||
});
|
||||
|
||||
return data;
|
||||
}
|
||||
|
||||
function generateRiskData() {
|
||||
const metrics = ['VaR', 'CVaR', 'Max Drawdown', 'Volatility'];
|
||||
const data = [];
|
||||
|
||||
metrics.forEach(metric => {
|
||||
const values = [];
|
||||
for (let i = 0; i < 10; i++) {
|
||||
values.push(Math.random() * 10);
|
||||
}
|
||||
data.push({ metric, values });
|
||||
});
|
||||
|
||||
return data;
|
||||
}
|
||||
|
||||
// Export for use in other scripts
|
||||
window.MockData = {
|
||||
initCharts,
|
||||
updatePortfolioChart,
|
||||
updateDataQualityChart,
|
||||
updateBacktestChart,
|
||||
updateRiskChart,
|
||||
generatePortfolioData,
|
||||
generateDataQualityData,
|
||||
generateBacktestData,
|
||||
generateRiskData
|
||||
};
|
||||
Reference in New Issue
Block a user