AI Trading Platform

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A sophisticated AI-Enhanced trading analysis platform built with modern full-stack architecture. Features real-time market data processing, AI-powered analysis with RAG technology, and Bloomberg Terminal-inspired interface.

🚀 Features

• Real-time Market Data: Live price updates with WebSocket connections
• AI-Powered Insights: Sentiment analysis, pattern matching, and news impact analysis
• RAG Technology: Vector-based contextual analysis for enhanced decision making
• Async Worker System: Multi-threaded analysis processing with priority queuing
• Portfolio Management: Real-time position tracking and P&L calculations
• Trading Interface: Bloomberg Terminal-inspired dark theme design

🛠️ Tech Stack

Frontend:

• React 18 with TypeScript
• Tailwind CSS + Shadcn/ui components
• TanStack Query for state management
• Wouter for routing
• Recharts for data visualization

Backend:

• Node.js with Express.js
• TypeScript with ES modules
• WebSocket server for real-time data
• PostgreSQL with Drizzle ORM

Testing & Quality:

• Vitest for unit testing
• Testing Library for React components
• ESLint + Prettier for code quality
• Husky + lint-staged for pre-commit hooks
• GitHub Actions CI/CD pipeline

🏃‍♂️ Getting Started

Prerequisites

• Node.js 18+
• PostgreSQL database
• npm or yarn

Installation

1. Clone the repository

   git clone https://github.com/your-username/ai-trading-platform.git
   cd ai-trading-platform

2. Install dependencies

   npm install

3. Setup environment variables

   # Required: PostgreSQL connection string
   DATABASE_URL=postgresql://username:password@localhost:5432/trading_db

4. Setup database

   npm run db:push

5. Start development server

   npm run dev

The application will be available at http://localhost:5000

📋 Available Scripts

• npm run dev - Start development server
• npm run build - Build for production
• npm run start - Start production server
• npm run test - Run tests in watch mode
• npm run test:coverage - Run tests with coverage report
• npm run lint - Run ESLint
• npm run format - Format code with Prettier
• npm run db:push - Push database schema changes

🧪 Testing

The project includes comprehensive testing setup:

# Run all tests
npm test

# Run tests with coverage
npm run test:coverage

# Run tests with UI
npm run test:ui

Test Structure

• client/src/test/ - Frontend component tests
• server/test/ - Backend API and service tests
• vitest.config.ts - Test configuration
• Coverage reports generated in coverage/ directory

🚀 CI/CD Pipeline

Automated GitHub Actions workflow includes:

• ✅ Code Quality: ESLint + Prettier checks
• ✅ Type Safety: TypeScript compilation
• ✅ Testing: Unit tests with coverage reporting
• ✅ Security: Dependency vulnerability scanning
• ✅ Build Verification: Production build testing

📊 Architecture

Real-time Data Flow

1. Market data service generates realistic price movements
2. Data stored in PostgreSQL with timestamp indexing
3. WebSocket server broadcasts updates to connected clients
4. React components receive and display live updates

AI Analysis Pipeline

1. Automated analysis triggers based on market conditions
2. AI service creates sentiment, pattern, and news-based insights
3. Vector store performs RAG analysis for contextual responses
4. Real-time delivery via WebSocket to connected clients

🤝 Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Code Style

• Use TypeScript for all new code
• Follow ESLint configuration
• Write tests for new features
• Update documentation as needed

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Inspired by Bloomberg Terminal interface design
• Built with modern React and Node.js ecosystem
• Powered by advanced AI analysis capabilities