A comprehensive AI-powered trading platform for prediction markets, featuring real-time analysis, automated signal generation, and intelligent risk management.
The Trading Platform is a world-class, proprietary trading system that combines artificial intelligence, real-time market data, and advanced risk management to provide traders with a competitive edge in prediction markets. Built with a microservices architecture and deployed on Google Cloud, it offers scalability, reliability, and professional-grade performance.
- ChatGPT Integration: Advanced AI analysis for player performance, match dynamics, and market sentiment
- Intelligent Signal Generation: AI-driven trading signals with confidence scoring and risk assessment
- Market Commentary: Real-time AI-generated insights and market analysis
- Performance Learning: Continuous improvement through trade analysis and pattern recognition
- Asset Profiles: Detailed analysis with performance tracking, form analysis, and historical records
- Market Analysis: Factor-by-factor breakdowns with advanced analytics and trading recommendations
- Signal Management: Arm/disarm trading signals with real-time monitoring
- Market Data Integration: Live odds, volume, and price history from prediction markets
- Order Management: Complete order lifecycle with OCO (One-Cancels-Other) support
- Position Tracking: Real-time P&L calculation and portfolio monitoring
- Risk Controls: Emergency kill switch and automated safety mechanisms
- Market Integration: Full API integration for live trading and market data
- Kelly Criterion: Optimal position sizing based on mathematical models
- Real-time Monitoring: Live risk limit tracking and breach detection
- Portfolio Analytics: Correlation analysis and diversification recommendations
- Emergency Controls: Automated emergency stop and risk breach handling
- Trade Journal: Comprehensive logging with performance metrics and insights
- Analytics Dashboard: Interactive charts and performance tracking
- Reporting: Detailed trade analysis and strategy effectiveness assessment
- Backtesting: Historical performance analysis and strategy optimization
- Modern Dashboard: Clean, intuitive interface with dark/light themes
- Real-time Updates: Live data visualization and interactive charts
- Responsive Design: Works seamlessly on desktop and mobile devices
- Professional Controls: Advanced trading interface with comprehensive settings
Frontend (React) ←→ API Gateway (Nginx) ←→ Microservices
├── Research Service (Port 5001)
├── Trade Service (Port 5002)
├── Risk Service (Port 5003)
└── Journal Service (Port 5004)
↓
Database (PostgreSQL) + Cache (Redis)
- React 18: Modern UI framework with hooks and context
- Tailwind CSS: Utility-first CSS framework
- Recharts: Interactive data visualization
- Lucide Icons: Beautiful, consistent iconography
- Python 3.11: Modern Python with type hints
- Flask: Lightweight, flexible web framework
- SQLAlchemy: Powerful ORM with relationship management
- PostgreSQL: Robust, scalable database
- Redis: High-performance caching and session management
- OpenAI GPT-4: Advanced language model for analysis
- Kalshi API: Live market data and trading integration
- Custom AI Service: Proprietary analysis algorithms
- Google Cloud Platform: Enterprise-grade cloud infrastructure
- Cloud Run: Serverless container platform
- Cloud SQL: Managed PostgreSQL database
- Secret Manager: Secure credential management
- Cloud Build: Automated CI/CD pipeline
-
Clone and Setup
git clone <repository-url> cd tennis-trading-system ./scripts/setup-local.sh
-
Configure Environment
# Edit .env file with your API keys nano .env -
Start System
./scripts/start-local.sh
-
Access Application
- Frontend: http://localhost:3000
- API Gateway: http://localhost:8080
-
Setup Prerequisites
# Install gcloud CLI and Terraform # Configure Google Cloud project
-
Configure Deployment
cd gcp/terraform cp terraform.tfvars.example terraform.tfvars # Edit terraform.tfvars with your configuration
-
Deploy
./gcp/deploy.sh
For detailed instructions, see DEPLOYMENT_GUIDE.md.
- Python 3.11+
- Node.js 18+
- Docker & Docker Compose
- PostgreSQL client
- 8GB RAM minimum, 16GB recommended
- Google Cloud Project with billing enabled
- Terraform 1.0+
- gcloud CLI
- API keys: OpenAI, Kalshi
- OpenAI API Key: For AI analysis and insights
- Kalshi API Credentials: For live trading and market data
# Database
DATABASE_URL=postgresql://user:pass@host:port/db
# APIs
OPENAI_API_KEY=sk-your-key
KALSHI_API_KEY=your-key
KALSHI_API_SECRET=your-secret
# Services
FLASK_ENV=development
REDIS_URL=redis://localhost:6379- Asset Analysis: Comprehensive performance metrics and form analysis
- Market Scorecards: Factor-by-factor market analysis with edge scoring
- Signal Generation: AI-powered trading signal creation and management
- Market Integration: Real-time data from prediction markets
- Order Management: Create, track, and manage trading orders
- OCO Orders: One-Cancels-Other orders for automatic risk management
- Position Tracking: Real-time portfolio monitoring and P&L calculation
- Market Integration: Direct integration with prediction market APIs
- Risk Profiles: Customizable risk parameters and limits
- Position Sizing: Kelly criterion-based optimal position calculation
- Monitoring: Real-time risk limit tracking and breach detection
- Emergency Controls: Automated emergency stop and risk management
- Trade Logging: Comprehensive trade history and performance tracking
- Analytics: Advanced performance metrics and strategy analysis
- Reporting: Detailed reports and insights for continuous improvement
- Export: Data export capabilities for external analysis
- Encrypted API communications (HTTPS/TLS)
- Secure credential storage (Google Secret Manager)
- Database encryption at rest and in transit
- Regular security updates and patches
- Service-to-service authentication
- API rate limiting and throttling
- Input validation and sanitization
- Audit logging for all operations
- Emergency kill switch at multiple levels
- Real-time position monitoring
- Automated risk limit enforcement
- Comprehensive audit trails
- Redis caching for frequently accessed data
- Optimized database queries and indexes
- CDN for static asset delivery
- Efficient API design and pagination
- Horizontal scaling with Cloud Run
- Auto-scaling based on demand
- Load balancing across instances
- Database read replicas for high load
# Test all services
./scripts/test-services.sh
# View logs
docker-compose logs -f
# Individual service testing
curl http://localhost:5001/health# Health checks
gcloud run services list
# Log monitoring
gcloud logs read "resource.type=cloud_run_revision"- Deployment Guide - Complete deployment instructions
- System Architecture - Detailed system design
- API Reference - Complete API documentation
- User Manual - User interface guide
This is a proprietary trading system. Please refer to internal documentation for contribution guidelines.
This system is for educational and research purposes. Trading involves risk of loss. Use at your own discretion and ensure compliance with all applicable regulations.
Trading Platform - Professional AI-powered trading platform for prediction markets.
Built with ❤️ for traders who demand excellence.