# Day Trading Platform A high-performance, institutional-grade day trading platform built with C# .NET 8.0, featuring advanced ML/AI algorithms, ultra-low latency execution, and professional multi-screen support. ## <� Target Configuration **Primary Target: Professional Configuration (4 Monitors)** - **CPU**: Intel i7-13700K or AMD Ryzen 7 7700X - **RAM**: 32GB DDR4-3600 or DDR5-5600 - **GPU**: NVIDIA RTX 4060 or AMD RX 7600 - **Storage**: 1TB NVMe SSD + 2TB backup drive - **Monitors**: 4 � 27-32" displays (4K primary, 1440p secondary) - **Expandable**: Designed to scale up to 6+ monitors (Enterprise configuration) - **Performance**: <50ms latency target, 10,000+ messages/second ## =� Key Features ### Core Trading Capabilities - � Real-time market data ingestion (AlphaVantage, Finnhub) - � Advanced screening engine with multiple criteria - � Risk management with 12 Golden Rules implementation - � Paper trading and backtesting engine - � FIX protocol support for direct market access ### AI/ML Pipeline - � **XGBoost**: Price prediction with <50ms inference - � **LSTM**: Deep learning for pattern recognition - � **Random Forest**: Multi-factor stock ranking - � **RAPM**: Risk-Adjusted Profit Maximization - =� **SARI**: Stress-Adjusted Risk Index (in progress) ### Performance Features - High-frequency trading support - Lock-free data structures for ultra-low latency - GPU acceleration with CUDA - TimescaleDB for microsecond-precision data - Redis messaging for distributed processing ### Multi-Screen Trading Interface - Zone-based layout (Primary, Secondary, Peripheral, Vertical) - Cognitive load management - Market-adaptive UI (different layouts for market hours vs after-hours) - Voice command integration - Professional color psychology and typography ## =� Architecture ``` � � Multi-Screen WinUI 3 Interface � �$ � ML/AI Pipeline � � XGBoost � LSTM � Random Forest � RAPM � SARI � �$ � Core Trading Engine � � Screening � Risk Management � Order Execution � Backtesting� �$ � Data Ingestion Layer � � AlphaVantage � Finnhub � Twitter � Reddit � SEC EDGAR � �$ � Infrastructure Services � � TimescaleDB � Redis � WebSocket � FIX Protocol � �� ``` ## =�� Technology Stack - **Platform**: .NET 8.0, C# 12 - **UI Framework**: WinUI 3 - **ML/AI**: ML.NET, TensorFlow.NET, ONNX Runtime - **Database**: TimescaleDB, Redis - **Messaging**: WebSocket, FIX Protocol - **Testing**: xUnit, BenchmarkDotNet - **DevOps**: Docker, GitHub Actions ## =� Prerequisites - Windows 11 (x64) - .NET 8.0 SDK - Visual Studio Code or Visual Studio 2022 - Docker Desktop (for TimescaleDB and Redis) - NVIDIA CUDA Toolkit (for GPU acceleration) ## =� Quick Start 1. **Clone the repository** ```bash git clone https://github.com/yourusername/DayTradingPlatform.git cd DayTradingPlatform ``` 2. **Navigate to solution directory** ```bash cd DayTradinPlatform ``` 3. **Run the application (First-time setup)** ```bash dotnet run --project TradingPlatform.Console ``` On first run, the application will: - Detect this is your first time - Launch the secure configuration wizard - Ask for your API keys (encrypted with AES-256 + DPAPI) - Store them securely - you'll never need to enter them again 4. **Get Free API Keys** - **AlphaVantage** (Required): https://www.alphavantage.co/support/#api-key - **Finnhub** (Required): https://finnhub.io/register - **IEX Cloud** (Optional): https://iexcloud.io - **Polygon** (Optional): https://polygon.io - **Twelve Data** (Optional): https://twelvedata.com 5. **Restore dependencies** ```bash dotnet restore ``` 4. **Build the solution** ```bash dotnet build --configuration Release ``` 5. **Run tests** ```bash dotnet test ``` 6. **Start the platform** ```bash dotnet run --project TradingPlatform.Core ``` ## =� Documentation - [Product Requirements Document (PRD)](MainDocs/V1.x/PRD_Modular_High-Performance-DTP.md) - [Engineering Design Document (EDD)](MainDocs/EDD_Modular_High-Performance-DTP.md) - [Multi-Screen Layout Research](ResearchDocs/Multi-Screen_Layout_and_Information_Architecture_for_Day_Trading_Platforms.md) - [Master Todo List](MainDocs/V1.x/Master_ToDo_List.md) - [12 Golden Rules of Day Trading](MainDocs/The_12_Golden_Rulesof_Day_Trading.md) ## >� Testing The platform includes comprehensive testing: - Unit tests with 80%+ coverage requirement - Integration tests for all major components - Performance tests targeting <50ms latency - Chaos engineering tests for resilience - GPU acceleration benchmarks ## =' Configuration Create `appsettings.json` in the project root: ```json { "MarketData": { "AlphaVantage": { "ApiKey": "YOUR_API_KEY", "BaseUrl": "https://www.alphavantage.co/query" }, "Finnhub": { "ApiKey": "YOUR_API_KEY", "BaseUrl": "https://finnhub.io/api/v1" } }, "Database": { "TimescaleDB": { "ConnectionString": "Host=localhost;Database=trading;Username=trader;Password=your_password" }, "Redis": { "ConnectionString": "localhost:6379" } } } ``` ## =� Performance Targets - **Order Execution**: <50ms end-to-end - **Market Data Processing**: 10,000+ messages/second - **Chart Loading**: <2 seconds - **Screen Switching**: Instantaneous - **ML Inference**: <50ms per prediction ## >� Contributing Please read [CONTRIBUTING.md](CONTRIBUTING.md) for details on our code of conduct and the process for submitting pull requests. ## =� License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. ## =O Acknowledgments - Inspired by institutional trading platforms - Built following the 12 Golden Rules of Day Trading - Leveraging state-of-the-art ML/AI research - Multi-screen layout based on professional trading desk standards ## =� Support For support, email support@daytradingplatform.com or join our Discord community. --- **Note**: This platform is designed for educational and professional use. Always practice responsible trading and risk management.