feat: Integrated Dashboard v2.0 with LLM-driven Mock Backend

- 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
This commit is contained in:
2026-02-07 06:34:19 +08:00
parent dfb7b9e619
commit c9d79bc839
8 changed files with 5796 additions and 47 deletions

122
app.py
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@@ -4,62 +4,92 @@ Simple dashboard server for Quantitative Trading Platform.
Provides mock metrics for PnL, drawdown, and win rate.
"""
from flask import Flask, render_template, jsonify
from flask import Flask, render_template, jsonify, request
import random
from datetime import datetime, timedelta
from data.connectors import create_moomoo_client, Interval
app = Flask(__name__)
def generate_mock_metrics():
"""Generate realistic mock trading metrics."""
# Simulate daily PnL over last 30 days
end_date = datetime.now()
start_date = end_date - timedelta(days=30)
daily_pnl = []
current_pnl = 0
for i in range(30):
day_pnl = random.uniform(-500, 1500)
current_pnl += day_pnl
daily_pnl.append({
'date': (start_date + timedelta(days=i)).strftime('%Y-%m-%d'),
'pnl': round(day_pnl, 2),
'cumulative': round(current_pnl, 2)
})
# Calculate derived metrics
total_pnl = current_pnl
peak = max([d['cumulative'] for d in daily_pnl])
trough = min([d['cumulative'] for d in daily_pnl])
max_drawdown = round(abs(trough - peak), 2) if peak > 0 else 0
# Win rate (percentage of profitable days)
profitable_days = sum(1 for d in daily_pnl if d['pnl'] > 0)
win_rate = round(profitable_days / len(daily_pnl) * 100, 1)
# Current portfolio value (simulated)
portfolio_value = 100000 + total_pnl
return {
'total_pnl': round(total_pnl, 2),
'daily_pnl': daily_pnl,
'max_drawdown': max_drawdown,
'win_rate': win_rate,
'portfolio_value': round(portfolio_value, 2),
'peak': round(peak, 2),
'trough': round(trough, 2),
'last_updated': end_date.isoformat()
}
# Initialize MoomooClient in mock mode (using our LLM scenario generator)
client = create_moomoo_client(mock_mode=True)
@app.route('/')
def dashboard():
"""Serve the dashboard HTML page."""
return render_template('dashboard.html')
return render_template('index.html')
@app.route('/api/metrics')
def metrics():
"""API endpoint returning current metrics."""
return jsonify(generate_mock_metrics())
@app.route('/api/market-data/<symbol>')
def market_data(symbol):
"""
API endpoint returning market data for a symbol.
Fetches 30 days of daily data by default for the dashboard.
"""
try:
# Fetch OHLCV data from our connector (which uses the simulator)
end_date = datetime.now()
start_date = end_date - timedelta(days=30)
# Determine interval from query param, default to 1d
interval_str = request.args.get('interval', '1d')
interval = Interval(interval_str)
ohlcv_data = client.get_ohlcv(
symbol=symbol.upper(),
interval=interval,
start_date=start_date,
end_date=end_date,
limit=100
)
# Transform for frontend
daily_pnl = []
cumulative = 0
# Simple simulation of PnL based on close price changes
# In a real app, this would come from the Strategy/Portfolio engine
initial_balance = 10000.0
position_size = 10 # shares
prev_close = ohlcv_data[0].close if ohlcv_data else 0
for point in ohlcv_data:
change = point.close - prev_close
pnl = change * position_size
cumulative += pnl
daily_pnl.append({
'date': point.timestamp.strftime('%Y-%m-%d'),
'pnl': round(pnl, 2),
'cumulative': round(cumulative, 2),
'close': point.close
})
prev_close = point.close
# Calculate summary metrics
total_pnl = cumulative
peak = max([d['cumulative'] for d in daily_pnl]) if daily_pnl else 0
trough = min([d['cumulative'] for d in daily_pnl]) if daily_pnl else 0
max_drawdown = min(0, trough - peak)
profitable_days = sum(1 for d in daily_pnl if d['pnl'] > 0)
win_rate = (profitable_days / len(daily_pnl) * 100) if daily_pnl else 0
return jsonify({
'symbol': symbol.upper(),
'metrics': {
'total_pnl': round(total_pnl, 2),
'max_drawdown': round(max_drawdown, 2),
'win_rate': round(win_rate, 1),
'portfolio_value': round(initial_balance + total_pnl, 2),
'peak': round(peak, 2),
'trough': round(trough, 2)
},
'daily_pnl': daily_pnl
})
except Exception as e:
return jsonify({'error': str(e)}), 500
@app.route('/health')
def health():

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@@ -265,7 +265,27 @@ class MoomooClient(DataConnector):
interval = params.get("interval", "1d") if params else "1d"
limit = params.get("limit", 100) if params else 100
# Generate mock OHLCV data
# Try to load LLM-generated scenario first
scenario_file = f"data/mock_scenarios/{symbol}_rally.json"
try:
import os
if os.path.exists(scenario_file):
with open(scenario_file, 'r') as f:
data = json.load(f)
# Filter/slice data if needed
return {
"code": 0,
"msg": "success",
"data": {
"symbol": symbol,
"interval": interval,
"list": data[:limit]
}
}
except Exception as e:
logger.warning(f"Failed to load mock scenario: {e}")
# Fallback to algorithmic generation
data = []
base_price = random.uniform(100, 200)
for i in range(limit):

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@@ -0,0 +1,87 @@
import json
import random
import math
from datetime import datetime, timedelta
def generate_ohlcv_from_pattern(symbol, date_str, pattern_segments):
"""
Generates minute-by-minute OHLCV data based on a list of trend segments.
Args:
symbol: Ticker symbol
date_str: Date (YYYY-MM-DD)
pattern_segments: List of dicts with:
- duration_mins: int
- start_price: float
- end_price: float
- volatility: float (standard deviation)
- volume_mult: float (multiplier of average volume)
"""
base_date = datetime.strptime(date_str, "%Y-%m-%d")
current_time = base_date.replace(hour=9, minute=30)
data = []
for segment in pattern_segments:
duration = segment['duration_mins']
start_p = segment['start_price']
end_p = segment['end_price']
volatility = segment['volatility']
vol_mult = segment.get('volume_mult', 1.0)
price_step = (end_p - start_p) / duration
for i in range(duration):
trend_price = start_p + (price_step * i)
# Random walk component
noise = random.gauss(0, volatility)
# OHLC generation
open_p = trend_price + noise
high_p = open_p + abs(random.gauss(0, volatility/2))
low_p = open_p - abs(random.gauss(0, volatility/2))
close_p = (open_p + high_p + low_p) / 3 + random.gauss(0, volatility/4)
# Ensure logical constraints
high_p = max(open_p, close_p, high_p)
low_p = min(open_p, close_p, low_p)
# Volume profile (U-shaped usually, but modulated by segment)
time_factor = 1.0
if current_time.hour < 10 or current_time.hour >= 15:
time_factor = 1.5
base_vol = 50000 * time_factor * vol_mult
volume = int(max(100, random.gauss(base_vol, base_vol * 0.3)))
data.append({
"code": symbol,
"time": current_time.strftime("%Y-%m-%d %H:%M:%S"),
"open": round(open_p, 2),
"high": round(high_p, 2),
"low": round(low_p, 2),
"close": round(close_p, 2),
"volume": volume
})
current_time += timedelta(minutes=1)
return data
if __name__ == "__main__":
# Example: AAPL "Morning Rally then Chop"
# Starting at 150.00
segments = [
{"duration_mins": 30, "start_price": 150.0, "end_price": 152.5, "volatility": 0.15, "volume_mult": 1.5}, # Rally
{"duration_mins": 60, "start_price": 152.5, "end_price": 151.8, "volatility": 0.10, "volume_mult": 0.8}, # Pullback
{"duration_mins": 120, "start_price": 151.8, "end_price": 152.2, "volatility": 0.08, "volume_mult": 0.5}, # Chop
{"duration_mins": 180, "start_price": 152.2, "end_price": 153.5, "volatility": 0.12, "volume_mult": 1.2}, # Afternoon push
]
data = generate_ohlcv_from_pattern("AAPL", "2026-02-06", segments)
with open("data/mock_scenarios/AAPL_rally.json", "w") as f:
json.dump(data, f, indent=2)
print(f"Generated {len(data)} points for AAPL")

485
static/css/style.css Normal file
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@@ -0,0 +1,485 @@
/*
* Quantitative Trading Platform - Interactive Mockup
* CSS Styles for the complete platform mockup
*/
:root {
/* Color Palette */
--primary-dark: #0a1929;
--secondary-dark: #1e2a38;
--tertiary-dark: #2a3a4d;
/* Accent Colors */
--accent-blue: #1976d2;
--accent-green: #4caf50;
--accent-red: #f44336;
--accent-purple: #9c27b0;
--accent-orange: #ff9800;
--accent-cyan: #00bcd4;
--accent-yellow: #ffc107;
/* Text Colors */
--text-primary: #ffffff;
--text-secondary: #b0bec5;
--text-muted: #78909c;
/* Border Colors */
--border-dark: #37474f;
--border-light: #546e7a;
/* Status Colors */
--status-success: #4caf50;
--status-warning: #ff9800;
--status-danger: #f44336;
--status-info: #2196f3;
/* Chart Colors */
--chart-line: #4caf50;
--chart-area: rgba(76, 175, 80, 0.1);
--chart-grid: #37474f;
}
/* Base Styles */
body {
font-family: 'Segoe UI', system-ui, -apple-system, BlinkMacSystemFont, 'Roboto', sans-serif;
background-color: var(--primary-dark);
color: var(--text-primary);
overflow-x: hidden;
font-size: 0.9rem;
line-height: 1.5;
}
/* Typography */
h1, h2, h3, h4, h5, h6 {
font-weight: 600;
color: var(--text-primary);
}
.text-muted {
color: var(--text-muted) !important;
}
/* Cards */
.card {
background-color: var(--primary-dark);
border: 1px solid var(--border-dark);
border-radius: 8px;
box-shadow: 0 2px 8px rgba(0, 0, 0, 0.3);
transition: all 0.2s ease;
}
.card:hover {
box-shadow: 0 4px 12px rgba(0, 0, 0, 0.4);
transform: translateY(-2px);
}
.card-header {
background-color: rgba(255, 255, 255, 0.03);
border-bottom: 1px solid var(--border-dark);
padding: 0.75rem 1rem;
}
.card-body {
padding: 1rem;
}
/* Border accent colors */
.border-accent-blue {
border-color: var(--accent-blue) !important;
}
.border-accent-green {
border-color: var(--accent-green) !important;
}
.border-accent-red {
border-color: var(--accent-red) !important;
}
.border-accent-purple {
border-color: var(--accent-purple) !important;
}
.border-accent-orange {
border-color: var(--accent-orange) !important;
}
.border-secondary-dark {
border-color: var(--secondary-dark) !important;
}
/* Sidebar Navigation */
.sidebar {
min-height: calc(100vh - 56px);
padding-top: 1rem;
}
.nav-link {
color: var(--text-secondary);
padding: 0.75rem 1rem;
margin: 0.125rem 0.5rem;
border-radius: 6px;
transition: all 0.2s ease;
}
.nav-link:hover {
color: var(--text-primary);
background-color: rgba(255, 255, 255, 0.05);
}
.nav-link.active {
color: var(--text-primary);
background-color: rgba(25, 118, 210, 0.15);
border-left: 3px solid var(--accent-blue);
}
.nav-link i {
width: 20px;
text-align: center;
}
/* Progress Bars */
.progress {
background-color: var(--tertiary-dark);
border-radius: 4px;
}
.progress-bar {
border-radius: 4px;
}
/* Tables */
.table-dark {
--bs-table-bg: transparent;
--bs-table-striped-bg: rgba(255, 255, 255, 0.03);
--bs-table-hover-bg: rgba(255, 255, 255, 0.05);
color: var(--text-primary);
border-color: var(--border-dark);
}
.table-dark th {
font-weight: 600;
color: var(--text-secondary);
border-color: var(--border-dark);
}
.table-dark td {
border-color: var(--border-dark);
}
/* Forms */
.form-control, .form-select {
background-color: var(--secondary-dark);
border: 1px solid var(--border-dark);
color: var(--text-primary);
}
.form-control:focus, .form-select:focus {
background-color: var(--secondary-dark);
border-color: var(--accent-blue);
color: var(--text-primary);
box-shadow: 0 0 0 0.25rem rgba(25, 118, 210, 0.25);
}
.form-control::placeholder {
color: var(--text-muted);
}
.input-group-text {
background-color: var(--tertiary-dark);
border: 1px solid var(--border-dark);
color: var(--text-secondary);
}
/* Buttons */
.btn {
border-radius: 6px;
font-weight: 500;
transition: all 0.2s ease;
}
.btn-outline-light {
color: var(--text-secondary);
border-color: var(--border-dark);
}
.btn-outline-light:hover {
background-color: rgba(255, 255, 255, 0.1);
border-color: var(--border-light);
color: var(--text-primary);
}
.btn-primary {
background-color: var(--accent-blue);
border-color: var(--accent-blue);
}
.btn-primary:hover {
background-color: #1565c0;
border-color: #1565c0;
}
.btn-success {
background-color: var(--accent-green);
border-color: var(--accent-green);
}
.btn-danger {
background-color: var(--accent-red);
border-color: var(--accent-red);
}
.btn-warning {
background-color: var(--accent-orange);
border-color: var(--accent-orange);
color: #000;
}
.btn-info {
background-color: var(--accent-cyan);
border-color: var(--accent-cyan);
}
/* Badges */
.badge {
font-weight: 500;
padding: 0.35em 0.65em;
border-radius: 4px;
}
.bg-purple {
background-color: var(--accent-purple) !important;
}
/* Alerts */
.alert {
border-radius: 6px;
border: 1px solid transparent;
}
.alert-warning {
background-color: rgba(255, 152, 0, 0.1);
border-color: rgba(255, 152, 0, 0.3);
color: var(--accent-orange);
}
.alert-success {
background-color: rgba(76, 175, 80, 0.1);
border-color: rgba(76, 175, 80, 0.3);
color: var(--accent-green);
}
.alert-info {
background-color: rgba(33, 150, 243, 0.1);
border-color: rgba(33, 150, 243, 0.3);
color: var(--accent-blue);
}
/* Charts Container */
canvas {
max-width: 100%;
}
/* Section Transitions */
.section-content {
animation: fadeIn 0.3s ease;
}
@keyframes fadeIn {
from {
opacity: 0;
transform: translateY(10px);
}
to {
opacity: 1;
transform: translateY(0);
}
}
/* Responsive Adjustments */
@media (max-width: 768px) {
.sidebar {
min-height: auto;
border-right: none;
border-bottom: 1px solid var(--border-dark);
}
.nav-link {
margin: 0.125rem 0;
}
.display-4 {
font-size: 2.5rem;
}
}
/* Utility Classes */
.text-success {
color: var(--accent-green) !important;
}
.text-danger {
color: var(--accent-red) !important;
}
.text-warning {
color: var(--accent-orange) !important;
}
.text-info {
color: var(--accent-cyan) !important;
}
.bg-primary-dark {
background-color: var(--primary-dark) !important;
}
.bg-secondary-dark {
background-color: var(--secondary-dark) !important;
}
.border-secondary-dark {
border-color: var(--secondary-dark) !important;
}
/* Scrollbar Styling */
::-webkit-scrollbar {
width: 10px;
height: 10px;
}
::-webkit-scrollbar-track {
background: var(--secondary-dark);
}
::-webkit-scrollbar-thumb {
background: var(--tertiary-dark);
border-radius: 5px;
}
::-webkit-scrollbar-thumb:hover {
background: var(--border-light);
}
/* List Groups */
.list-group-item {
background-color: transparent;
color: var(--text-primary);
border-color: var(--border-dark);
}
.list-group-item:hover {
background-color: rgba(255, 255, 255, 0.03);
}
/* Hover Effects */
.hover-lift {
transition: transform 0.2s ease;
}
.hover-lift:hover {
transform: translateY(-2px);
}
/* Highlight animation for updated values */
@keyframes highlight {
0% { color: var(--text-primary); }
50% { color: var(--accent-yellow); }
100% { color: var(--text-primary); }
}
.text-highlight {
animation: highlight 1s ease;
}
/* Status Indicators */
.status-indicator {
display: inline-block;
width: 8px;
height: 8px;
border-radius: 50%;
margin-right: 6px;
}
.status-indicator.online {
background-color: var(--accent-green);
box-shadow: 0 0 8px var(--accent-green);
}
.status-indicator.warning {
background-color: var(--accent-orange);
box-shadow: 0 0 8px var(--accent-orange);
}
.status-indicator.offline {
background-color: var(--accent-red);
box-shadow: 0 0 8px var(--accent-red);
}
/* Metric Cards */
.metric-card {
position: relative;
overflow: hidden;
}
.metric-card::before {
content: '';
position: absolute;
top: 0;
left: 0;
right: 0;
height: 3px;
background: linear-gradient(90deg, var(--accent-blue), var(--accent-cyan));
}
.metric-card.green::before {
background: linear-gradient(90deg, var(--accent-green), #81c784);
}
.metric-card.red::before {
background: linear-gradient(90deg, var(--accent-red), #e57373);
}
.metric-card.orange::before {
background: linear-gradient(90deg, var(--accent-orange), #ffb74d);
}
/* Loading States */
.loading-skeleton {
background: linear-gradient(90deg, var(--secondary-dark) 25%, var(--tertiary-dark) 50%, var(--secondary-dark) 75%);
background-size: 200% 100%;
animation: loading 1.5s infinite;
}
@keyframes loading {
0% {
background-position: 200% 0;
}
100% {
background-position: -200% 0;
}
}
/* Tooltips */
.tooltip-inner {
background-color: var(--tertiary-dark);
color: var(--text-primary);
border-radius: 4px;
padding: 0.5rem 0.75rem;
}
.tooltip.bs-tooltip-top .tooltip-arrow::before {
border-top-color: var(--tertiary-dark);
}
.tooltip.bs-tooltip-bottom .tooltip-arrow::before {
border-bottom-color: var(--tertiary-dark);
}
.tooltip.bs-tooltip-start .tooltip-arrow::before {
border-left-color: var(--tertiary-dark);
}
.tooltip.bs-tooltip-end .tooltip-arrow::before {
border-right-color: var(--tertiary-dark);
}

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static/js/app.js Normal file
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/*
* Quantitative Trading Platform - Interactive Mockup
* Main JavaScript for navigation and interactivity
*/
// Global state
const AppState = {
currentSection: 'dashboard',
charts: {},
mockData: {}
};
// Initialize the application
function initApp() {
console.log('Quantitative Trading Platform Mockup Initialized');
// Set up navigation
setupNavigation();
// Load mock data
loadMockData();
// Initialize charts
initCharts();
// Show default section
showSection('dashboard');
// Set up event listeners for interactive elements
setupEventListeners();
}
// Set up sidebar navigation
function setupNavigation() {
const navLinks = document.querySelectorAll('.nav-link[data-section]');
navLinks.forEach(link => {
link.addEventListener('click', function(e) {
e.preventDefault();
const section = this.getAttribute('data-section');
showSection(section);
// Update active state
navLinks.forEach(l => l.classList.remove('active'));
this.classList.add('active');
});
});
}
// Show a specific section
function showSection(sectionId) {
// Hide all sections
const sections = document.querySelectorAll('.section-content');
sections.forEach(section => {
section.classList.add('d-none');
});
// Show the selected section
const targetSection = document.getElementById(`${sectionId}-section`);
if (targetSection) {
targetSection.classList.remove('d-none');
AppState.currentSection = sectionId;
// Update page title
const sectionTitle = targetSection.querySelector('h1, h2')?.textContent || 'Quantitative Trading Platform';
document.title = `${sectionTitle} - Mockup`;
// Refresh charts for the section if needed
refreshSectionCharts(sectionId);
}
}
// Refresh charts for a specific section
function refreshSectionCharts(sectionId) {
switch(sectionId) {
case 'dashboard':
if (AppState.charts.portfolioChart) {
updatePortfolioChart();
}
break;
case 'data-management':
if (AppState.charts.dataQualityChart) {
updateDataQualityChart();
}
break;
case 'strategy-engine':
if (AppState.charts.backtestChart) {
updateBacktestChart();
}
break;
case 'risk-management':
if (AppState.charts.riskChart) {
updateRiskChart();
}
break;
}
}
// Set up event listeners for buttons and interactive elements
function setupEventListeners() {
// Refresh buttons
const refreshButtons = document.querySelectorAll('button:contains("Refresh"), .btn-refresh, .btn-outline-light');
refreshButtons.forEach(btn => {
// Look for the refresh button specifically
if (btn.querySelector('.bi-arrow-clockwise') || btn.textContent.includes('Refresh')) {
btn.addEventListener('click', function() {
// Fetch real market data from backend
const symbol = 'AAPL'; // Default for now
fetch(`/api/market-data/${symbol}`)
.then(response => response.json())
.then(data => {
// Update UI with real data
updateDashboardWithRealData(data);
showToast(`Data refreshed for ${symbol}`, 'success');
})
.catch(error => {
console.error('Error fetching data:', error);
showToast('Failed to refresh data', 'danger');
});
});
}
});
// Form submissions
const forms = document.querySelectorAll('form');
forms.forEach(form => {
form.addEventListener('submit', function(e) {
e.preventDefault();
showToast('Settings saved successfully', 'success');
});
});
// Toggle buttons
const toggleButtons = document.querySelectorAll('.btn[data-toggle]');
toggleButtons.forEach(btn => {
btn.addEventListener('click', function() {
const target = this.getAttribute('data-toggle');
const state = this.getAttribute('data-state');
if (target && state) {
// Toggle state
const newState = state === 'on' ? 'off' : 'on';
this.setAttribute('data-state', newState);
// Update button appearance
if (newState === 'on') {
this.classList.remove('btn-outline-secondary');
this.classList.add('btn-success');
this.innerHTML = '<i class="bi bi-toggle-on me-1"></i> ON';
} else {
this.classList.remove('btn-success');
this.classList.add('btn-outline-secondary');
this.innerHTML = '<i class="bi bi-toggle-off me-1"></i> OFF';
}
showToast(`Feature ${newState === 'on' ? 'enabled' : 'disabled'}`, 'info');
}
});
});
// Tab clicks
const tabs = document.querySelectorAll('[data-bs-toggle="tab"]');
tabs.forEach(tab => {
tab.addEventListener('shown.bs.tab', function() {
const tabId = this.getAttribute('data-bs-target');
console.log(`Tab activated: ${tabId}`);
});
});
// Simulate live data updates
setInterval(updateLiveData, 5000);
}
// Update live data (simulated)
function updateLiveData() {
if (AppState.currentSection === 'dashboard') {
// Update metrics with small random changes
updateDashboardMetrics();
}
}
// Update dashboard metrics with random changes
function updateDashboardMetrics() {
const metrics = {
'total-pnl': { base: 42580, range: 500 },
'max-drawdown': { base: 8420, range: 200 },
'win-rate': { base: 64.8, range: 1.5 }
};
for (const [id, config] of Object.entries(metrics)) {
const element = document.getElementById(id);
if (element) {
const current = parseFloat(element.textContent.replace(/[^\d.-]/g, ''));
const change = (Math.random() - 0.5) * 2 * config.range;
const newValue = config.base + change;
// Format based on metric type
if (id === 'total-pnl' || id === 'max-drawdown') {
element.textContent = `$${Math.round(newValue).toLocaleString()}`;
} else if (id === 'win-rate') {
element.textContent = `${newValue.toFixed(1)}%`;
}
// Add subtle animation
element.classList.add('text-highlight');
setTimeout(() => {
element.classList.remove('text-highlight');
}, 1000);
}
}
}
function updateDashboardWithRealData(data) {
// Update key metrics cards
const metrics = data.metrics;
// Total P&L
const pnlEl = document.querySelector('.card-title.text-success');
if (pnlEl) pnlEl.textContent = `$${metrics.total_pnl.toLocaleString()}`;
// Max Drawdown
const ddEl = document.querySelector('.card-title.text-danger');
if (ddEl) ddEl.textContent = `$${metrics.max_drawdown.toLocaleString()}`;
// Win Rate
const winEl = document.querySelector('.card-title.text-info');
if (winEl) winEl.textContent = `${metrics.win_rate}%`;
// Update chart
if (AppState.charts.portfolioChart) {
AppState.charts.portfolioChart.data.labels = data.daily_pnl.map(d => d.date);
AppState.charts.portfolioChart.data.datasets[0].data = data.daily_pnl.map(d => d.cumulative);
AppState.charts.portfolioChart.update();
}
}
// Show toast notification
function showToast(message, type = 'info') {
// Create toast container if it doesn't exist
let toastContainer = document.getElementById('toast-container');
if (!toastContainer) {
toastContainer = document.createElement('div');
toastContainer.id = 'toast-container';
toastContainer.className = 'toast-container position-fixed bottom-0 end-0 p-3';
document.body.appendChild(toastContainer);
}
// Create toast
const toastId = 'toast-' + Date.now();
const toast = document.createElement('div');
toast.id = toastId;
toast.className = `toast align-items-center text-bg-${type} border-0`;
toast.setAttribute('role', 'alert');
toast.setAttribute('aria-live', 'assertive');
toast.setAttribute('aria-atomic', 'true');
toast.innerHTML = `
<div class="d-flex">
<div class="toast-body">
${message}
</div>
<button type="button" class="btn-close btn-close-white me-2 m-auto" data-bs-dismiss="toast" aria-label="Close"></button>
</div>
`;
toastContainer.appendChild(toast);
// Initialize and show toast
const bsToast = new bootstrap.Toast(toast, { delay: 3000 });
bsToast.show();
// Remove toast after it's hidden
toast.addEventListener('hidden.bs.toast', function() {
toast.remove();
});
}
// Load mock data
function loadMockData() {
// Generate mock data for charts
AppState.mockData = {
portfolioData: generatePortfolioData(),
dataQualityData: generateDataQualityData(),
backtestData: generateBacktestData(),
riskData: generateRiskData()
};
}
// Generate mock portfolio data
function generatePortfolioData() {
const data = [];
let value = 100000;
for (let i = 0; i < 30; i++) {
const date = new Date();
date.setDate(date.getDate() - (30 - i));
// Random walk with drift
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;
}
// Generate mock data quality 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;
}
// Generate mock backtest 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;
}
// Generate mock risk 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;
}
// Initialize when DOM is loaded
document.addEventListener('DOMContentLoaded', initApp);
// Export for use in other scripts
window.App = {
showSection,
showToast,
refreshSectionCharts,
state: AppState
};

414
static/js/mock-data.js Normal file
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/*
* Quantitative Trading Platform - Interactive Mockup
* Mock data generation for charts and displays
*/
// Chart initialization
function initCharts() {
// Initialize Portfolio Chart
initPortfolioChart();
// Initialize Data Quality Chart
initDataQualityChart();
// Initialize Backtest Chart
initBacktestChart();
// Initialize Risk Chart
initRiskChart();
}
// Portfolio Performance Chart
function initPortfolioChart() {
const ctx = document.getElementById('portfolioChart');
if (!ctx) return;
const data = generatePortfolioData();
AppState.charts.portfolioChart = new Chart(ctx, {
type: 'line',
data: {
labels: data.map(d => d.date),
datasets: [{
label: 'Portfolio Value',
data: data.map(d => d.value),
borderColor: '#4caf50',
backgroundColor: 'rgba(76, 175, 80, 0.1)',
fill: true,
tension: 0.4,
pointRadius: 2,
pointHoverRadius: 5
}]
},
options: {
responsive: true,
maintainAspectRatio: false,
plugins: {
legend: {
display: false
},
tooltip: {
mode: 'index',
intersect: false,
callbacks: {
label: function(context) {
return `$${context.parsed.y.toLocaleString()}`;
}
}
}
},
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 / 1000).toFixed(0) + 'k';
}
}
}
}
}
});
}
// Data Quality Chart
function initDataQualityChart() {
const ctx = document.getElementById('dataQualityChart');
if (!ctx) return;
const data = generateDataQualityData();
AppState.charts.dataQualityChart = new Chart(ctx, {
type: 'line',
data: {
labels: data.map(d => d.date),
datasets: [
{
label: 'Completeness (%)',
data: data.map(d => d.completeness),
borderColor: '#4caf50',
backgroundColor: 'rgba(76, 175, 80, 0.1)',
fill: true,
tension: 0.4,
yAxisID: 'y'
},
{
label: 'Latency (ms)',
data: data.map(d => d.latency),
borderColor: '#2196f3',
backgroundColor: 'rgba(33, 150, 243, 0.1)',
fill: true,
tension: 0.4,
yAxisID: 'y1'
}
]
},
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: {
type: 'linear',
display: true,
position: 'left',
min: 80,
max: 100,
grid: {
color: 'rgba(255, 255, 255, 0.05)'
},
ticks: {
color: '#b0bec5',
callback: function(value) {
return value + '%';
}
}
},
y1: {
type: 'linear',
display: true,
position: 'right',
min: 0,
max: 30,
grid: {
drawOnChartArea: false
},
ticks: {
color: '#b0bec5',
callback: function(value) {
return value + 'ms';
}
}
}
}
}
});
}
// Backtest Results Chart
function initBacktestChart() {
const ctx = document.getElementById('backtestChart');
if (!ctx) return;
const data = generateBacktestData();
AppState.charts.backtestChart = new Chart(ctx, {
type: 'line',
data: {
labels: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'],
datasets: data.map((strategy, index) => {
const colors = ['#4caf50', '#2196f3', '#9c27b0'];
return {
label: strategy.strategy,
data: strategy.returns,
borderColor: colors[index],
backgroundColor: colors[index] + '20',
fill: false,
tension: 0.4
};
})
},
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
};

820
templates/index.html Normal file
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Quantitative Trading Platform - Interactive Mockup</title>
<!-- Bootstrap 5 CSS -->
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet">
<!-- Bootstrap Icons -->
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap-icons@1.10.0/font/bootstrap-icons.css">
<!-- Chart.js -->
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
<!-- Custom CSS -->
<link rel="stylesheet" href="{{ url_for('static', filename='css/style.css') }}">
<style>
/* Base styles will be in css/style.css, but some critical ones here */
:root {
--primary-dark: #0a1929;
--secondary-dark: #1e2a38;
--accent-blue: #1976d2;
--accent-green: #4caf50;
--accent-red: #f44336;
--accent-purple: #9c27b0;
--accent-orange: #ff9800;
--text-primary: #ffffff;
--text-secondary: #b0bec5;
}
body {
font-family: 'Segoe UI', system-ui, -apple-system, sans-serif;
overflow-x: hidden;
}
</style>
</head>
<body class="bg-dark text-light">
<!-- Top Navigation Bar -->
<nav class="navbar navbar-dark bg-primary-dark border-bottom border-secondary-dark">
<div class="container-fluid">
<a class="navbar-brand fw-bold" href="#">
<i class="bi bi-graph-up-arrow me-2"></i>
Quantitative Trading Platform
</a>
<div class="d-flex align-items-center">
<div class="me-3">
<span class="badge bg-success">LIVE</span>
<small class="text-muted ms-2">Mock Data</small>
</div>
<div class="btn-group">
<button class="btn btn-outline-light btn-sm">
<i class="bi bi-person-circle"></i> James Tang
</button>
<button class="btn btn-outline-light btn-sm">
<i class="bi bi-gear"></i>
</button>
</div>
</div>
</div>
</nav>
<div class="container-fluid">
<div class="row">
<!-- Sidebar Navigation -->
<div class="col-md-3 col-lg-2 d-md-block bg-secondary-dark sidebar collapse border-end border-secondary-dark" id="sidebarMenu">
<div class="position-sticky pt-3">
<ul class="nav flex-column">
<li class="nav-item">
<a class="nav-link active" href="#dashboard" data-section="dashboard">
<i class="bi bi-speedometer2 me-2"></i>
Dashboard
</a>
</li>
<li class="nav-item">
<a class="nav-link" href="#data-management" data-section="data-management">
<i class="bi bi-database me-2"></i>
Data Management
</a>
</li>
<li class="nav-item">
<a class="nav-link" href="#strategy-engine" data-section="strategy-engine">
<i class="bi bi-cpu me-2"></i>
Strategy Engine
</a>
</li>
<li class="nav-item">
<a class="nav-link" href="#risk-management" data-section="risk-management">
<i class="bi bi-shield-exclamation me-2"></i>
Risk Management
</a>
</li>
<li class="nav-item">
<a class="nav-link" href="#trade-execution" data-section="trade-execution">
<i class="bi bi-arrow-left-right me-2"></i>
Trade Execution
</a>
</li>
<li class="nav-item">
<a class="nav-link" href="#reports" data-section="reports">
<i class="bi bi-file-text me-2"></i>
Reports & Analytics
</a>
</li>
<li class="nav-item">
<a class="nav-link" href="#alerts" data-section="alerts">
<i class="bi bi-bell me-2"></i>
Alerting System
</a>
</li>
<li class="nav-item">
<a class="nav-link" href="#configuration" data-section="configuration">
<i class="bi bi-sliders me-2"></i>
Configuration
</a>
</li>
</ul>
<hr class="border-secondary-dark my-4">
<div class="px-3">
<h6 class="text-uppercase text-muted mb-3">System Status</h6>
<div class="mb-2">
<small class="text-muted">Data Layer</small>
<div class="progress bg-dark" style="height: 4px;">
<div class="progress-bar bg-success" style="width: 95%"></div>
</div>
</div>
<div class="mb-2">
<small class="text-muted">Strategy Engine</small>
<div class="progress bg-dark" style="height: 4px;">
<div class="progress-bar bg-success" style="width: 88%"></div>
</div>
</div>
<div class="mb-2">
<small class="text-muted">Risk Management</small>
<div class="progress bg-dark" style="height: 4px;">
<div class="progress-bar bg-warning" style="width: 72%"></div>
</div>
</div>
</div>
</div>
</div>
<!-- Main Content Area -->
<main class="col-md-9 ms-sm-auto col-lg-10 px-md-4 pt-3">
<!-- Section: Dashboard (Default) -->
<div id="dashboard-section" class="section-content">
<div class="d-flex justify-content-between flex-wrap flex-md-nowrap align-items-center pb-2 mb-3 border-bottom border-secondary-dark">
<h1 class="h2">
<i class="bi bi-speedometer2 text-accent-blue me-2"></i>
Dashboard
</h1>
<div class="btn-toolbar">
<div class="btn-group me-2">
<button class="btn btn-outline-light btn-sm">
<i class="bi bi-arrow-clockwise"></i> Refresh
</button>
<button class="btn btn-outline-light btn-sm">
<i class="bi bi-calendar"></i> Today
</button>
</div>
</div>
</div>
<!-- Key Metrics Cards -->
<div class="row mb-4">
<div class="col-md-3 mb-3">
<div class="card bg-primary-dark border-accent-green">
<div class="card-body">
<div class="d-flex justify-content-between align-items-center">
<div>
<h6 class="card-subtitle text-muted">Total P&L</h6>
<h3 class="card-title mt-2 text-success">$42,580</h3>
</div>
<i class="bi bi-graph-up text-success fs-1"></i>
</div>
<p class="card-text">
<small class="text-muted">+12.4% MTD</small>
</p>
</div>
</div>
</div>
<div class="col-md-3 mb-3">
<div class="card bg-primary-dark border-accent-red">
<div class="card-body">
<div class="d-flex justify-content-between align-items-center">
<div>
<h6 class="card-subtitle text-muted">Max Drawdown</h6>
<h3 class="card-title mt-2 text-danger">-$8,420</h3>
</div>
<i class="bi bi-graph-down text-danger fs-1"></i>
</div>
<p class="card-text">
<small class="text-muted">-4.2% from peak</small>
</p>
</div>
</div>
</div>
<div class="col-md-3 mb-3">
<div class="card bg-primary-dark border-accent-blue">
<div class="card-body">
<div class="d-flex justify-content-between align-items-center">
<div>
<h6 class="card-subtitle text-muted">Win Rate</h6>
<h3 class="card-title mt-2 text-info">64.8%</h3>
</div>
<i class="bi bi-percent text-info fs-1"></i>
</div>
<p class="card-text">
<small class="text-muted">182 winning trades</small>
</p>
</div>
</div>
</div>
<div class="col-md-3 mb-3">
<div class="card bg-primary-dark border-accent-orange">
<div class="card-body">
<div class="d-flex justify-content-between align-items-center">
<div>
<h6 class="card-subtitle text-muted">Active Strategies</h6>
<h3 class="card-title mt-2 text-warning">4</h3>
</div>
<i class="bi bi-cpu text-warning fs-1"></i>
</div>
<p class="card-text">
<small class="text-muted">2 in paper trading</small>
</p>
</div>
</div>
</div>
</div>
<!-- Charts Row -->
<div class="row mb-4">
<div class="col-lg-8">
<div class="card bg-primary-dark border-secondary-dark mb-3">
<div class="card-header bg-transparent border-secondary-dark">
<h6 class="mb-0">Portfolio Performance</h6>
</div>
<div class="card-body">
<canvas id="portfolioChart" height="250"></canvas>
</div>
</div>
</div>
<div class="col-lg-4">
<div class="card bg-primary-dark border-secondary-dark mb-3">
<div class="card-header bg-transparent border-secondary-dark">
<h6 class="mb-0">Top Holdings</h6>
</div>
<div class="card-body">
<div class="list-group list-group-flush">
<div class="list-group-item bg-transparent border-secondary-dark d-flex justify-content-between">
<span>AAPL</span>
<span class="text-success">+12.4%</span>
</div>
<div class="list-group-item bg-transparent border-secondary-dark d-flex justify-content-between">
<span>MSFT</span>
<span class="text-success">+8.7%</span>
</div>
<div class="list-group-item bg-transparent border-secondary-dark d-flex justify-content-between">
<span>GOOGL</span>
<span class="text-danger">-2.3%</span>
</div>
<div class="list-group-item bg-transparent border-secondary-dark d-flex justify-content-between">
<span>TSLA</span>
<span class="text-success">+15.2%</span>
</div>
<div class="list-group-item bg-transparent border-secondary-dark d-flex justify-content-between">
<span>NVDA</span>
<span class="text-success">+24.1%</span>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- Recent Activity -->
<div class="row">
<div class="col-12">
<div class="card bg-primary-dark border-secondary-dark">
<div class="card-header bg-transparent border-secondary-dark d-flex justify-content-between align-items-center">
<h6 class="mb-0">Recent Trades</h6>
<button class="btn btn-sm btn-outline-light">View All</button>
</div>
<div class="card-body p-0">
<div class="table-responsive">
<table class="table table-dark table-hover mb-0">
<thead>
<tr>
<th>Time</th>
<th>Symbol</th>
<th>Action</th>
<th>Quantity</th>
<th>Price</th>
<th>P&L</th>
<th>Status</th>
</tr>
</thead>
<tbody>
<tr>
<td>10:45 AM</td>
<td>AAPL</td>
<td><span class="badge bg-success">BUY</span></td>
<td>50</td>
<td>$182.34</td>
<td class="text-success">+$420</td>
<td><span class="badge bg-success">Filled</span></td>
</tr>
<tr>
<td>10:30 AM</td>
<td>TSLA</td>
<td><span class="badge bg-danger">SELL</span></td>
<td>25</td>
<td>$245.67</td>
<td class="text-success">+$1,250</td>
<td><span class="badge bg-success">Filled</span></td>
</tr>
<tr>
<td>09:15 AM</td>
<td>MSFT</td>
<td><span class="badge bg-success">BUY</span></td>
<td>100</td>
<td>$412.89</td>
<td class="text-warning">Pending</td>
<td><span class="badge bg-warning">Pending</span></td>
</tr>
<tr>
<td>Yesterday</td>
<td>GOOGL</td>
<td><span class="badge bg-danger">SELL</span></td>
<td>75</td>
<td>$145.23</td>
<td class="text-danger">-$320</td>
<td><span class="badge bg-success">Filled</span></td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- Section: Data Management (Hidden) -->
<div id="data-management-section" class="section-content d-none">
<div class="d-flex justify-content-between flex-wrap flex-md-nowrap align-items-center pb-2 mb-3 border-bottom border-secondary-dark">
<h1 class="h2">
<i class="bi bi-database text-accent-blue me-2"></i>
Data Management
</h1>
<div class="btn-toolbar">
<div class="btn-group me-2">
<button class="btn btn-outline-light btn-sm">
<i class="bi bi-plus-circle"></i> Add Source
</button>
<button class="btn btn-outline-light btn-sm">
<i class="bi bi-arrow-clockwise"></i> Sync Now
</button>
</div>
</div>
</div>
<!-- Data Sources Cards -->
<div class="row mb-4">
<div class="col-md-6 mb-3">
<div class="card bg-primary-dark border-accent-blue">
<div class="card-body">
<div class="d-flex justify-content-between align-items-center mb-3">
<h5 class="card-title mb-0">Moomoo API</h5>
<span class="badge bg-success">Connected</span>
</div>
<p class="card-text text-muted">Real-time market data, historical OHLCV, order execution</p>
<div class="mb-3">
<small class="text-muted">Rate Limit</small>
<div class="progress bg-dark" style="height: 6px;">
<div class="progress-bar bg-info" style="width: 65%"></div>
</div>
<small class="text-muted">42/60 requests per minute</small>
</div>
<div class="d-grid gap-2">
<button class="btn btn-outline-light btn-sm">Configure</button>
<button class="btn btn-outline-danger btn-sm">Disconnect</button>
</div>
</div>
</div>
</div>
<div class="col-md-6 mb-3">
<div class="card bg-primary-dark border-accent-purple">
<div class="card-body">
<div class="d-flex justify-content-between align-items-center mb-3">
<h5 class="card-title mb-0">Alternative Data</h5>
<span class="badge bg-warning">Partial</span>
</div>
<p class="card-text text-muted">Economic calendar, news feeds, sentiment analysis</p>
<div class="mb-3">
<small class="text-muted">Data Quality</small>
<div class="progress bg-dark" style="height: 6px;">
<div class="progress-bar bg-warning" style="width: 78%"></div>
</div>
<small class="text-muted">78% completeness</small>
</div>
<div class="d-grid gap-2">
<button class="btn btn-outline-light btn-sm">Add Sources</button>
<button class="btn btn-outline-info btn-sm">Quality Report</button>
</div>
</div>
</div>
</div>
</div>
<!-- Data Quality Monitoring -->
<div class="row mb-4">
<div class="col-12">
<div class="card bg-primary-dark border-secondary-dark">
<div class="card-header bg-transparent border-secondary-dark">
<h6 class="mb-0">Data Quality Dashboard</h6>
</div>
<div class="card-body">
<div class="row">
<div class="col-md-3 text-center mb-3">
<div class="display-4 text-success">99.2%</div>
<small class="text-muted">Uptime</small>
</div>
<div class="col-md-3 text-center mb-3">
<div class="display-4 text-info">12ms</div>
<small class="text-muted">Avg Latency</small>
</div>
<div class="col-md-3 text-center mb-3">
<div class="display-4 text-warning">0.8%</div>
<small class="text-muted">Missing Data</small>
</div>
<div class="col-md-3 text-center mb-3">
<div class="display-4 text-danger">3</div>
<small class="text-muted">Anomalies Today</small>
</div>
</div>
<canvas id="dataQualityChart" height="150"></canvas>
</div>
</div>
</div>
</div>
</div>
<!-- Section: Strategy Engine (Hidden) -->
<div id="strategy-engine-section" class="section-content d-none">
<div class="d-flex justify-content-between flex-wrap flex-md-nowrap align-items-center pb-2 mb-3 border-bottom border-secondary-dark">
<h1 class="h2">
<i class="bi bi-cpu text-accent-purple me-2"></i>
Strategy Engine
</h1>
<div class="btn-toolbar">
<div class="btn-group me-2">
<button class="btn btn-outline-light btn-sm">
<i class="bi bi-plus-circle"></i> New Strategy
</button>
<button class="btn btn-outline-light btn-sm">
<i class="bi bi-play-circle"></i> Run Backtest
</button>
</div>
</div>
</div>
<!-- Active Strategies -->
<div class="row mb-4">
<div class="col-12">
<div class="card bg-primary-dark border-secondary-dark">
<div class="card-header bg-transparent border-secondary-dark d-flex justify-content-between align-items-center">
<h6 class="mb-0">Active Strategies</h6>
<div class="btn-group">
<button class="btn btn-sm btn-outline-success">Live</button>
<button class="btn btn-sm btn-outline-warning">Paper</button>
<button class="btn btn-sm btn-outline-secondary">Paused</button>
</div>
</div>
<div class="card-body">
<div class="table-responsive">
<table class="table table-dark table-hover mb-0">
<thead>
<tr>
<th>Strategy</th>
<th>Type</th>
<th>Status</th>
<th>P&L</th>
<th>Win Rate</th>
<th>Sharpe</th>
<th>Actions</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<strong>Dual Momentum</strong>
<br><small class="text-muted">Large-cap US stocks</small>
</td>
<td><span class="badge bg-info">Trend Following</span></td>
<td><span class="badge bg-success">Live</span></td>
<td class="text-success">+$18,420</td>
<td>68.2%</td>
<td>1.85</td>
<td>
<button class="btn btn-sm btn-outline-light">Edit</button>
<button class="btn btn-sm btn-outline-warning">Pause</button>
</td>
</tr>
<tr>
<td>
<strong>Mean Reversion</strong>
<br><small class="text-muted">S&P 500 components</small>
</td>
<td><span class="badge bg-warning">Mean Reversion</span></td>
<td><span class="badge bg-warning">Paper Trading</span></td>
<td class="text-success">+$5,230</td>
<td>59.7%</td>
<td>1.12</td>
<td>
<button class="btn btn-sm btn-outline-light">Edit</button>
<button class="btn btn-sm btn-outline-success">Go Live</button>
</td>
</tr>
<tr>
<td>
<strong>Pairs Trading</strong>
<br><small class="text-muted">Tech sector pairs</small>
</td>
<td><span class="badge bg-purple">Statistical Arbitrage</span></td>
<td><span class="badge bg-secondary">Paused</span></td>
<td class="text-danger">-$2,150</td>
<td>52.4%</td>
<td>0.45</td>
<td>
<button class="btn btn-sm btn-outline-light">Edit</button>
<button class="btn btn-sm btn-outline-warning">Resume</button>
</td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
</div>
</div>
<!-- Strategy Configuration -->
<div class="row">
<div class="col-md-6 mb-3">
<div class="card bg-primary-dark border-secondary-dark">
<div class="card-header bg-transparent border-secondary-dark">
<h6 class="mb-0">Backtest Results</h6>
</div>
<div class="card-body">
<canvas id="backtestChart" height="200"></canvas>
</div>
</div>
</div>
<div class="col-md-6 mb-3">
<div class="card bg-primary-dark border-secondary-dark">
<div class="card-header bg-transparent border-secondary-dark">
<h6 class="mb-0">Create New Strategy</h6>
</div>
<div class="card-body">
<form>
<div class="mb-3">
<label class="form-label">Strategy Name</label>
<input type="text" class="form-control bg-dark border-secondary-dark text-light" placeholder="e.g., Momentum Breakout">
</div>
<div class="mb-3">
<label class="form-label">Strategy Type</label>
<select class="form-select bg-dark border-secondary-dark text-light">
<option>Trend Following</option>
<option>Mean Reversion</option>
<option>Arbitrage</option>
<option>Machine Learning</option>
</select>
</div>
<div class="mb-3">
<label class="form-label">Initial Capital</label>
<div class="input-group">
<span class="input-group-text bg-dark border-secondary-dark text-light">$</span>
<input type="number" class="form-control bg-dark border-secondary-dark text-light" value="100000">
</div>
</div>
<div class="d-grid">
<button type="submit" class="btn btn-primary">Create & Backtest</button>
</div>
</form>
</div>
</div>
</div>
</div>
</div>
<!-- Section: Risk Management (Hidden) -->
<div id="risk-management-section" class="section-content d-none">
<div class="d-flex justify-content-between flex-wrap flex-md-nowrap align-items-center pb-2 mb-3 border-bottom border-secondary-dark">
<h1 class="h2">
<i class="bi bi-shield-exclamation text-accent-orange me-2"></i>
Risk Management
</h1>
<div class="btn-toolbar">
<div class="btn-group me-2">
<button class="btn btn-outline-light btn-sm">
<i class="bi bi-shield-check"></i> Run Audit
</button>
<button class="btn btn-outline-light btn-sm">
<i class="bi bi-file-earmark-text"></i> Export Report
</button>
</div>
</div>
</div>
<!-- Risk Metrics -->
<div class="row mb-4">
<div class="col-md-3 mb-3">
<div class="card bg-primary-dark border-danger">
<div class="card-body text-center">
<div class="display-4 text-danger">4.2%</div>
<small class="text-muted">Max Drawdown</small>
</div>
</div>
</div>
<div class="col-md-3 mb-3">
<div class="card bg-primary-dark border-warning">
<div class="card-body text-center">
<div class="display-4 text-warning">1.85</div>
<small class="text-muted">Sharpe Ratio</small>
</div>
</div>
</div>
<div class="col-md-3 mb-3">
<div class="card bg-primary-dark border-info">
<div class="card-body text-center">
<div class="display-4 text-info">12.4%</div>
<small class="text-muted">Volatility (Annual)</small>
</div>
</div>
</div>
<div class="col-md-3 mb-3">
<div class="card bg-primary-dark border-success">
<div class="card-body text-center">
<div class="display-4 text-success">95%</div>
<small class="text-muted">VaR (1-day, 95%)</small>
</div>
</div>
</div>
</div>
<!-- Risk Controls -->
<div class="row">
<div class="col-md-6 mb-3">
<div class="card bg-primary-dark border-secondary-dark">
<div class="card-header bg-transparent border-secondary-dark">
<h6 class="mb-0">Circuit Breakers</h6>
</div>
<div class="card-body">
<div class="mb-3">
<label class="form-label">Daily Loss Limit</label>
<div class="input-group">
<input type="number" class="form-control bg-dark border-secondary-dark text-light" value="5000">
<span class="input-group-text bg-dark border-secondary-dark text-light">USD</span>
</div>
<div class="form-text text-muted">Trading pauses if daily loss exceeds this amount</div>
</div>
<div class="mb-3">
<label class="form-label">Max Position Size</label>
<div class="input-group">
<input type="number" class="form-control bg-dark border-secondary-dark text-light" value="25">
<span class="input-group-text bg-dark border-secondary-dark text-light">%</span>
</div>
<div class="form-text text-muted">Maximum allocation to any single position</div>
</div>
<div class="mb-3">
<label class="form-label">Sector Concentration</label>
<div class="input-group">
<input type="number" class="form-control bg-dark border-secondary-dark text-light" value="40">
<span class="input-group-text bg-dark border-secondary-dark text-light">%</span>
</div>
<div class="form-text text-muted">Maximum allocation to any single sector</div>
</div>
<div class="d-grid">
<button class="btn btn-primary">Update Limits</button>
</div>
</div>
</div>
</div>
<div class="col-md-6 mb-3">
<div class="card bg-primary-dark border-secondary-dark">
<div class="card-header bg-transparent border-secondary-dark">
<h6 class="mb-0">Risk Dashboard</h6>
</div>
<div class="card-body">
<canvas id="riskChart" height="250"></canvas>
<div class="mt-3">
<div class="alert alert-warning mb-2">
<i class="bi bi-exclamation-triangle me-2"></i>
<strong>Warning:</strong> Tech sector concentration at 38% (limit: 40%)
</div>
<div class="alert alert-success mb-0">
<i class="bi bi-check-circle me-2"></i>
<strong>All Systems Normal:</strong> All risk limits within bounds
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- Other sections would follow similar pattern -->
<!-- For brevity, showing only key sections in this mockup -->
<!-- Section: Trade Execution (Hidden - Placeholder) -->
<div id="trade-execution-section" class="section-content d-none">
<div class="d-flex justify-content-between flex-wrap flex-md-nowrap align-items-center pb-2 mb-3 border-bottom border-secondary-dark">
<h1 class="h2">
<i class="bi bi-arrow-left-right text-accent-green me-2"></i>
Trade Execution
</h1>
</div>
<div class="alert alert-info">
<i class="bi bi-info-circle me-2"></i>
Trade Execution interface would show real-time order management, execution quality metrics, and manual trading controls.
</div>
</div>
<!-- Section: Reports (Hidden - Placeholder) -->
<div id="reports-section" class="section-content d-none">
<div class="d-flex justify-content-between flex-wrap flex-md-nowrap align-items-center pb-2 mb-3 border-bottom border-secondary-dark">
<h1 class="h2">
<i class="bi bi-file-text text-accent-blue me-2"></i>
Reports & Analytics
</h1>
</div>
<div class="alert alert-info">
<i class="bi bi-info-circle me-2"></i>
Reports section would include performance attribution, trade journals, compliance reports, and export functionality.
</div>
</div>
<!-- Section: Alerts (Hidden - Placeholder) -->
<div id="alerts-section" class="section-content d-none">
<div class="d-flex justify-content-between flex-wrap flex-md-nowrap align-items-center pb-2 mb-3 border-bottom border-secondary-dark">
<h1 class="h2">
<i class="bi bi-bell text-accent-orange me-2"></i>
Alerting System
</h1>
</div>
<div class="alert alert-info">
<i class="bi bi-info-circle me-2"></i>
Alerting system would configure Telegram/email notifications for critical events, risk breaches, and performance milestones.
</div>
</div>
<!-- Section: Configuration (Hidden - Placeholder) -->
<div id="configuration-section" class="section-content d-none">
<div class="d-flex justify-content-between flex-wrap flex-md-nowrap align-items-center pb-2 mb-3 border-bottom border-secondary-dark">
<h1 class="h2">
<i class="bi bi-sliders text-accent-purple me-2"></i>
Configuration
</h1>
</div>
<div class="alert alert-info">
<i class="bi bi-info-circle me-2"></i>
Configuration interface would manage API keys, system settings, user preferences, and integration settings.
</div>
</div>
</main>
</div>
</div>
<!-- Bootstrap JS Bundle with Popper -->
<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/js/bootstrap.bundle.min.js"></script>
<!-- Custom JavaScript -->
<script src="{{ url_for('static', filename='js/mock-data.js') }}"></script>
<script src="{{ url_for('static', filename='js/app.js') }}"></script>
<script>
// Initialize the mockup when page loads
document.addEventListener('DOMContentLoaded', function() {
// Initialize the application
if (typeof initApp === 'function') {
initApp();
} else {
// Fallback initialization
console.log('Using fallback initialization');
// Set up navigation
const navLinks = document.querySelectorAll('.nav-link[data-section]');
navLinks.forEach(link => {
link.addEventListener('click', function(e) {
e.preventDefault();
const section = this.getAttribute('data-section');
// Hide all sections
document.querySelectorAll('.section-content').forEach(s => {
s.classList.add('d-none');
});
// Show selected section
const target = document.getElementById(`${section}-section`);
if (target) {
target.classList.remove('d-none');
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// Update active state
navLinks.forEach(l => l.classList.remove('active'));
this.classList.add('active');
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});
// Show dashboard by default
document.getElementById('dashboard-section').classList.remove('d-none');
document.querySelector('.nav-link[data-section="dashboard"]').classList.add('active');
}
});
</script>
</body>
</html>