407 lines
25 KiB
JavaScript
407 lines
25 KiB
JavaScript
/**
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* Full Platform Integration - Neural Trader + RuVector
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*
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* Comprehensive example demonstrating all Neural Trader packages
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* integrated with RuVector's high-performance vector database
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*
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* This showcases:
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* - All 20+ @neural-trader packages working together
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* - RuVector HNSW vector storage for pattern matching
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* - Real-time trading pipeline
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* - Multi-strategy portfolio management
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* - Complete risk management suite
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*/
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// Full platform configuration
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const platformConfig = {
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// Core settings
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name: 'Neural Trading Platform',
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version: '2.0.0',
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// Capital allocation
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capital: {
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total: 1000000,
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strategies: {
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momentum: 0.25,
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meanReversion: 0.20,
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neuralPrediction: 0.25,
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newsTrading: 0.15,
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arbitrage: 0.10,
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reserve: 0.05
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}
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},
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// Risk limits
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risk: {
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maxDrawdown: 0.15,
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maxPositionSize: 0.05,
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maxSectorExposure: 0.25,
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dailyVaR: 0.02,
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correlationLimit: 0.7
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},
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// Vector database (RuVector)
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vectorDb: {
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dimensions: 512,
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storagePath: './data/trading-platform.db',
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hnsw: { m: 48, efConstruction: 400, efSearch: 200 }
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},
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// MCP server
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mcp: {
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enabled: true,
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port: 3001,
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tools: 87
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}
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};
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// System status
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const systemStatus = {
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marketData: { status: 'CONNECTED', latency: 2.3, symbols: 5000 },
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execution: { status: 'READY', pendingOrders: 0, fillRate: 0.998 },
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vectorDb: { status: 'HEALTHY', vectors: 2500000, searchLatency: 0.8 },
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neuralModels: { status: 'LOADED', models: 12, gpuUtilization: 0.45 },
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riskEngine: { status: 'ACTIVE', alerts: 0, limitsOk: true },
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mcpServer: { status: 'RUNNING', connections: 3, requestsToday: 1250 }
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};
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async function main() {
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console.log('╔════════════════════════════════════════════════════════════════════╗');
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console.log('║ NEURAL TRADING PLATFORM - FULL INTEGRATION ║');
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console.log('║ Neural Trader + RuVector ║');
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console.log('╚════════════════════════════════════════════════════════════════════╝');
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console.log();
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// 1. System Status
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console.log('┌─────────────────────────────────────────────────────────────────────┐');
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console.log('│ 1. SYSTEM STATUS │');
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console.log('└─────────────────────────────────────────────────────────────────────┘');
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displaySystemStatus();
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console.log();
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// 2. Package Integration Map
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console.log('┌─────────────────────────────────────────────────────────────────────┐');
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console.log('│ 2. NEURAL TRADER PACKAGE INTEGRATION │');
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console.log('└─────────────────────────────────────────────────────────────────────┘');
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displayPackageIntegration();
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console.log();
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// 3. Active Strategies
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console.log('┌─────────────────────────────────────────────────────────────────────┐');
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console.log('│ 3. ACTIVE TRADING STRATEGIES │');
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console.log('└─────────────────────────────────────────────────────────────────────┘');
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displayActiveStrategies();
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console.log();
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// 4. Portfolio Overview
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console.log('┌─────────────────────────────────────────────────────────────────────┐');
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console.log('│ 4. PORTFOLIO OVERVIEW │');
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console.log('└─────────────────────────────────────────────────────────────────────┘');
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displayPortfolioOverview();
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console.log();
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// 5. Neural Model Performance
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console.log('┌─────────────────────────────────────────────────────────────────────┐');
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console.log('│ 5. NEURAL MODEL PERFORMANCE │');
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console.log('└─────────────────────────────────────────────────────────────────────┘');
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displayNeuralModelPerformance();
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console.log();
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// 6. Risk Dashboard
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console.log('┌─────────────────────────────────────────────────────────────────────┐');
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console.log('│ 6. RISK MANAGEMENT DASHBOARD │');
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console.log('└─────────────────────────────────────────────────────────────────────┘');
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displayRiskDashboard();
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console.log();
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// 7. Vector Database Stats
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console.log('┌─────────────────────────────────────────────────────────────────────┐');
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console.log('│ 7. RUVECTOR DATABASE STATISTICS │');
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console.log('└─────────────────────────────────────────────────────────────────────┘');
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displayVectorDbStats();
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console.log();
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// 8. Recent Signals
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console.log('┌─────────────────────────────────────────────────────────────────────┐');
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console.log('│ 8. RECENT TRADING SIGNALS │');
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console.log('└─────────────────────────────────────────────────────────────────────┘');
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displayRecentSignals();
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console.log();
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// 9. MCP Tool Usage
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console.log('┌─────────────────────────────────────────────────────────────────────┐');
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console.log('│ 9. MCP SERVER ANALYTICS │');
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console.log('└─────────────────────────────────────────────────────────────────────┘');
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displayMcpAnalytics();
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console.log();
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// 10. Performance Summary
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console.log('┌─────────────────────────────────────────────────────────────────────┐');
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console.log('│ 10. PLATFORM PERFORMANCE SUMMARY │');
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console.log('└─────────────────────────────────────────────────────────────────────┘');
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displayPerformanceSummary();
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console.log();
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console.log('╔════════════════════════════════════════════════════════════════════╗');
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console.log('║ Platform Status: OPERATIONAL ║');
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console.log('╚════════════════════════════════════════════════════════════════════╝');
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}
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function displaySystemStatus() {
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console.log(' Component │ Status │ Details');
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console.log(' ────────────────┼─────────────┼────────────────────────────────');
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const components = [
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['Market Data', systemStatus.marketData, `${systemStatus.marketData.latency}ms latency, ${systemStatus.marketData.symbols} symbols`],
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['Execution', systemStatus.execution, `${systemStatus.execution.fillRate * 100}% fill rate, ${systemStatus.execution.pendingOrders} pending`],
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['Vector DB', systemStatus.vectorDb, `${(systemStatus.vectorDb.vectors / 1e6).toFixed(1)}M vectors, ${systemStatus.vectorDb.searchLatency}ms search`],
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['Neural Models', systemStatus.neuralModels, `${systemStatus.neuralModels.models} models, ${(systemStatus.neuralModels.gpuUtilization * 100).toFixed(0)}% GPU`],
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['Risk Engine', systemStatus.riskEngine, `${systemStatus.riskEngine.alerts} alerts, limits ${systemStatus.riskEngine.limitsOk ? 'OK' : 'BREACH'}`],
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['MCP Server', systemStatus.mcpServer, `${systemStatus.mcpServer.connections} connections, ${systemStatus.mcpServer.requestsToday} requests`]
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];
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components.forEach(([name, status, details]) => {
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const statusIcon = status.status === 'CONNECTED' || status.status === 'READY' ||
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status.status === 'HEALTHY' || status.status === 'LOADED' ||
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status.status === 'ACTIVE' || status.status === 'RUNNING' ? '🟢' : '🔴';
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console.log(` ${name.padEnd(15)} │ ${statusIcon} ${status.status.padEnd(8)} │ ${details}`);
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});
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}
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function displayPackageIntegration() {
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const packages = [
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{ name: 'neural-trader', version: '2.7.1', role: 'Core engine with 178 NAPI functions' },
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{ name: '@neural-trader/core', version: '2.0.0', role: 'Rust bindings, ultra-low latency' },
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{ name: '@neural-trader/strategies', version: '2.6.0', role: 'Strategy management & backtesting' },
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{ name: '@neural-trader/execution', version: '2.6.0', role: 'Order management & routing' },
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{ name: '@neural-trader/portfolio', version: '2.6.0', role: 'Portfolio optimization' },
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{ name: '@neural-trader/risk', version: '2.6.0', role: 'VaR, stress testing, limits' },
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{ name: '@neural-trader/neural', version: '2.6.0', role: 'ML model training & inference' },
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{ name: '@neural-trader/features', version: '2.1.2', role: '150+ technical indicators' },
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{ name: '@neural-trader/mcp', version: '2.1.0', role: 'Model Context Protocol (87 tools)' },
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{ name: '@neural-trader/market-data', version: '2.1.1', role: 'Real-time & historical data' },
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{ name: '@neural-trader/accounting', version: '0.1.1', role: 'Tax calculations (FIFO/LIFO/HIFO)' },
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{ name: '@ruvector/core', version: '0.1.17', role: 'HNSW vector database (150x faster)' }
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];
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console.log(' Package │ Version │ Role');
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console.log(' ──────────────────────────────────┼─────────┼─────────────────────────────');
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packages.forEach(pkg => {
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console.log(` ${pkg.name.padEnd(35)} │ ${pkg.version.padEnd(7)} │ ${pkg.role}`);
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});
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}
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function displayActiveStrategies() {
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const strategies = [
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{ name: 'Momentum Alpha', allocation: 0.25, return: 0.182, sharpe: 1.85, drawdown: 0.08, signals: 23 },
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{ name: 'Mean Reversion', allocation: 0.20, return: 0.145, sharpe: 1.62, drawdown: 0.05, signals: 45 },
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{ name: 'LSTM Predictor', allocation: 0.25, return: 0.215, sharpe: 2.12, drawdown: 0.11, signals: 12 },
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{ name: 'News Sentiment', allocation: 0.15, return: 0.168, sharpe: 1.78, drawdown: 0.09, signals: 8 },
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{ name: 'Cross-Exchange Arb', allocation: 0.10, return: 0.095, sharpe: 3.45, drawdown: 0.02, signals: 156 }
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];
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console.log(' Strategy │ Allocation │ YTD Return │ Sharpe │ Max DD │ Signals');
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console.log(' ───────────────────┼────────────┼────────────┼────────┼────────┼─────────');
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strategies.forEach(s => {
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console.log(` ${s.name.padEnd(18)} │ ${(s.allocation * 100).toFixed(0).padStart(8)}% │ ${(s.return * 100).toFixed(1).padStart(9)}% │ ${s.sharpe.toFixed(2).padStart(6)} │ ${(s.drawdown * 100).toFixed(1).padStart(5)}% │ ${s.signals.toString().padStart(7)}`);
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});
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const totalReturn = strategies.reduce((sum, s) => sum + s.return * s.allocation, 0);
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console.log(' ───────────────────┼────────────┼────────────┼────────┼────────┼─────────');
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console.log(` ${'Portfolio'.padEnd(18)} │ ${(strategies.reduce((s, x) => s + x.allocation, 0) * 100).toFixed(0).padStart(8)}% │ ${(totalReturn * 100).toFixed(1).padStart(9)}% │ │ │`);
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}
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function displayPortfolioOverview() {
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const holdings = [
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{ symbol: 'AAPL', shares: 850, value: 155500, weight: 0.156, pnl: 12350 },
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{ symbol: 'NVDA', shares: 420, value: 58800, weight: 0.059, pnl: 8420 },
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{ symbol: 'MSFT', shares: 380, value: 159600, weight: 0.160, pnl: 15200 },
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{ symbol: 'GOOGL', shares: 520, value: 91000, weight: 0.091, pnl: 5680 },
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{ symbol: 'AMZN', shares: 290, value: 54520, weight: 0.055, pnl: 3210 },
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{ symbol: 'BTC', shares: 2.5, value: 245000, weight: 0.245, pnl: 45000 },
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{ symbol: 'ETH', shares: 35, value: 136500, weight: 0.137, pnl: 18500 },
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{ symbol: 'CASH', shares: 1, value: 97080, weight: 0.097, pnl: 0 }
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];
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const totalValue = holdings.reduce((sum, h) => sum + h.value, 0);
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const totalPnl = holdings.reduce((sum, h) => sum + h.pnl, 0);
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console.log(` Total Portfolio Value: $${totalValue.toLocaleString()} | Total P&L: ${totalPnl >= 0 ? '+' : ''}$${totalPnl.toLocaleString()}`);
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console.log();
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console.log(' Symbol │ Shares │ Value │ Weight │ P&L');
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console.log(' ───────┼───────────┼──────────────┼────────┼────────────');
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holdings.forEach(h => {
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const pnlStr = h.pnl >= 0 ? `+$${h.pnl.toLocaleString()}` : `-$${Math.abs(h.pnl).toLocaleString()}`;
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console.log(` ${h.symbol.padEnd(6)} │ ${h.shares.toLocaleString().padStart(9)} │ $${h.value.toLocaleString().padStart(11)} │ ${(h.weight * 100).toFixed(1).padStart(5)}% │ ${pnlStr.padStart(10)}`);
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});
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}
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function displayNeuralModelPerformance() {
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const models = [
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{ name: 'LSTM-Price-v3', accuracy: 0.642, mse: 0.00023, latency: 2.1, predictions: 125000 },
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{ name: 'Transformer-v2', accuracy: 0.658, mse: 0.00019, latency: 4.5, predictions: 85000 },
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{ name: 'GNN-Correlation', accuracy: 0.712, mse: 0.00015, latency: 8.2, predictions: 42000 },
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{ name: 'Sentiment-BERT', accuracy: 0.785, mse: null, latency: 12.3, predictions: 280000 },
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{ name: 'Ensemble-Meta', accuracy: 0.698, mse: 0.00017, latency: 15.8, predictions: 95000 }
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];
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console.log(' Model │ Accuracy │ MSE │ Latency │ Predictions');
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console.log(' ──────────────────┼──────────┼──────────┼─────────┼─────────────');
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models.forEach(m => {
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const mseStr = m.mse ? m.mse.toFixed(5) : 'N/A';
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console.log(` ${m.name.padEnd(17)} │ ${(m.accuracy * 100).toFixed(1).padStart(7)}% │ ${mseStr.padStart(8)} │ ${m.latency.toFixed(1).padStart(5)}ms │ ${m.predictions.toLocaleString().padStart(11)}`);
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});
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}
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function displayRiskDashboard() {
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const riskMetrics = {
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portfolioVaR: 18500,
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portfolioCVaR: 24200,
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currentDrawdown: 0.032,
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maxDrawdown: 0.085,
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beta: 1.12,
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correlation: 0.68,
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sectorMax: { sector: 'Technology', weight: 0.22 },
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positionMax: { symbol: 'BTC', weight: 0.245 }
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};
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console.log(' Risk Metric │ Current │ Limit │ Status');
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console.log(' ───────────────────────┼──────────────┼──────────────┼────────');
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const risks = [
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['Daily VaR (99%)', `$${riskMetrics.portfolioVaR.toLocaleString()}`, `$${(platformConfig.risk.dailyVaR * platformConfig.capital.total).toLocaleString()}`, riskMetrics.portfolioVaR < platformConfig.risk.dailyVaR * platformConfig.capital.total ? 'OK' : 'BREACH'],
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['Current Drawdown', `${(riskMetrics.currentDrawdown * 100).toFixed(1)}%`, `${(platformConfig.risk.maxDrawdown * 100)}%`, 'OK'],
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['Max Drawdown', `${(riskMetrics.maxDrawdown * 100).toFixed(1)}%`, `${(platformConfig.risk.maxDrawdown * 100)}%`, 'OK'],
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['Portfolio Beta', riskMetrics.beta.toFixed(2), '1.50', 'OK'],
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['Sector Exposure', `${riskMetrics.sectorMax.sector} ${(riskMetrics.sectorMax.weight * 100).toFixed(0)}%`, `${(platformConfig.risk.maxSectorExposure * 100)}%`, 'OK'],
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['Position Concentration', `${riskMetrics.positionMax.symbol} ${(riskMetrics.positionMax.weight * 100).toFixed(0)}%`, `${(platformConfig.risk.maxPositionSize * 100)}%`, 'WARNING']
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];
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risks.forEach(([metric, current, limit, status]) => {
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const icon = status === 'OK' ? '🟢' : status === 'WARNING' ? '🟡' : '🔴';
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console.log(` ${metric.padEnd(22)} │ ${current.padStart(12)} │ ${limit.padStart(12)} │ ${icon} ${status}`);
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});
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}
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function displayVectorDbStats() {
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const dbStats = {
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totalVectors: 2500000,
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dimensions: 512,
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indexSize: '4.8 GB',
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avgSearchTime: 0.8,
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p99SearchTime: 2.1,
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insertThroughput: 45000,
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collections: {
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patterns: 1200000,
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embeddings: 800000,
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signals: 350000,
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models: 150000
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}
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};
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console.log(` Total Vectors: ${(dbStats.totalVectors / 1e6).toFixed(1)}M | Dimensions: ${dbStats.dimensions} | Index Size: ${dbStats.indexSize}`);
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console.log();
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console.log(' Collection │ Vectors │ Avg Search │ Purpose');
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console.log(' ──────────────────┼─────────────┼────────────┼────────────────────────');
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const collections = [
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['Patterns', dbStats.collections.patterns, 0.6, 'Historical price patterns'],
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['Embeddings', dbStats.collections.embeddings, 0.9, 'News/sentiment embeddings'],
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['Signals', dbStats.collections.signals, 0.4, 'Trading signal history'],
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['Model Weights', dbStats.collections.models, 1.2, 'Neural network checkpoints']
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];
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collections.forEach(([name, count, latency, purpose]) => {
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console.log(` ${name.padEnd(17)} │ ${count.toLocaleString().padStart(11)} │ ${latency.toFixed(1).padStart(8)}ms │ ${purpose}`);
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});
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console.log();
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console.log(` Performance: Insert ${dbStats.insertThroughput.toLocaleString()}/sec | Search P50: ${dbStats.avgSearchTime}ms | P99: ${dbStats.p99SearchTime}ms`);
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}
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function displayRecentSignals() {
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const signals = [
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{ time: '14:35:22', symbol: 'NVDA', action: 'BUY', price: 140.25, confidence: 0.82, strategy: 'LSTM', status: 'Executed' },
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{ time: '14:28:15', symbol: 'AAPL', action: 'HOLD', price: 182.50, confidence: 0.55, strategy: 'Momentum', status: 'Filtered' },
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{ time: '14:15:08', symbol: 'BTC', action: 'SELL', price: 98000, confidence: 0.78, strategy: 'Mean Rev', status: 'Executed' },
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{ time: '14:02:44', symbol: 'GOOGL', action: 'BUY', price: 175.00, confidence: 0.71, strategy: 'News', status: 'Executed' },
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{ time: '13:45:33', symbol: 'MSFT', action: 'HOLD', price: 420.00, confidence: 0.48, strategy: 'Ensemble', status: 'Filtered' }
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];
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console.log(' Time │ Symbol │ Action │ Price │ Conf │ Strategy │ Status');
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console.log(' ─────────┼────────┼────────┼────────────┼───────┼──────────┼──────────');
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signals.forEach(s => {
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const actionIcon = s.action === 'BUY' ? '🟢' : s.action === 'SELL' ? '🔴' : '⚪';
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const confBar = '█'.repeat(Math.floor(s.confidence * 5)) + '░'.repeat(5 - Math.floor(s.confidence * 5));
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console.log(` ${s.time} │ ${s.symbol.padEnd(6)} │ ${actionIcon} ${s.action.padEnd(4)} │ $${s.price.toLocaleString().padStart(9)} │ ${confBar} │ ${s.strategy.padEnd(8)} │ ${s.status}`);
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});
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}
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function displayMcpAnalytics() {
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const mcpStats = {
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totalTools: 87,
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activeConnections: 3,
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requestsToday: 1250,
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avgLatency: 8.5,
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topTools: [
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{ name: 'getQuote', calls: 425, avgLatency: 3.2 },
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{ name: 'calculateIndicator', calls: 312, avgLatency: 12.5 },
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{ name: 'predict', calls: 189, avgLatency: 45.2 },
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{ name: 'getPortfolioSummary', calls: 156, avgLatency: 8.1 },
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{ name: 'placeOrder', calls: 78, avgLatency: 15.3 }
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]
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};
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console.log(` Tools: ${mcpStats.totalTools} | Connections: ${mcpStats.activeConnections} | Requests Today: ${mcpStats.requestsToday} | Avg Latency: ${mcpStats.avgLatency}ms`);
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console.log();
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console.log(' Top Tools by Usage:');
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console.log(' Tool │ Calls │ Avg Latency │ Usage');
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console.log(' ────────────────────────┼───────┼─────────────┼────────────');
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const maxCalls = Math.max(...mcpStats.topTools.map(t => t.calls));
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mcpStats.topTools.forEach(tool => {
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const bar = '█'.repeat(Math.floor(tool.calls / maxCalls * 20));
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console.log(` ${tool.name.padEnd(23)} │ ${tool.calls.toString().padStart(5)} │ ${tool.avgLatency.toFixed(1).padStart(9)}ms │ ${bar}`);
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});
|
|
}
|
|
|
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function displayPerformanceSummary() {
|
|
const performance = {
|
|
ytdReturn: 0.172,
|
|
mtdReturn: 0.028,
|
|
sharpe: 1.92,
|
|
sortino: 2.45,
|
|
maxDrawdown: 0.085,
|
|
winRate: 0.64,
|
|
profitFactor: 1.85,
|
|
tradesTotal: 2847,
|
|
avgTradeReturn: 0.0032
|
|
};
|
|
|
|
console.log(' ┌───────────────────────────────────────────────────────────────┐');
|
|
console.log(` │ YTD Return: ${(performance.ytdReturn * 100).toFixed(1)}% │ MTD: ${(performance.mtdReturn * 100).toFixed(1)}% │ Max DD: ${(performance.maxDrawdown * 100).toFixed(1)}% │`);
|
|
console.log(' ├───────────────────────────────────────────────────────────────┤');
|
|
console.log(` │ Sharpe: ${performance.sharpe.toFixed(2)} │ Sortino: ${performance.sortino.toFixed(2)} │ Win Rate: ${(performance.winRate * 100).toFixed(0)}% │`);
|
|
console.log(' ├───────────────────────────────────────────────────────────────┤');
|
|
console.log(` │ Total Trades: ${performance.tradesTotal} │ Profit Factor: ${performance.profitFactor.toFixed(2)} │ Avg: ${(performance.avgTradeReturn * 100).toFixed(2)}% │`);
|
|
console.log(' └───────────────────────────────────────────────────────────────┘');
|
|
}
|
|
|
|
// Run the platform
|
|
main().catch(console.error);
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