A modern backtesting platform for quantitative trading strategies with visual strategy builder and comprehensive analytics.
- Visual Strategy Builder: Drag-and-drop interface for building trading strategies
- Technical Indicators: 9 indicators including SMA, EMA, RSI, MACD, Bollinger Bands, and more
- Advanced Backtesting: Event-driven engine with realistic market simulation
- Real-time Analytics: Performance metrics, equity curves, and risk analysis
- Multiple Assets: Support for major cryptocurrency pairs and Dow Jones stocks
- Live Progress Updates: WebSocket-based real-time backtest progress and results
- Background Processing: Celery-based task queue for long-running backtests
- Cancellable Tasks: Ability to cancel running backtests
- Live Strategy Monitoring: Real-time price and indicator updates during backtesting
- Strategy Optimization: Multi-method parameter optimization (Grid Search, Genetic Algorithm, Walk Forward, Monte Carlo)
- Export Analytics: Comprehensive data export in multiple formats (JSON, CSV, Excel, PDF)
- Real Market Data: Integration with historical stock market data for realistic testing
- Frontend: React 18, TypeScript, Vite, TailwindCSS
- Backend: FastAPI (Python), Pandas, NumPy
- Task Queue: Celery with Redis broker
- WebSockets: Real-time updates and monitoring
- API: RESTful endpoints with comprehensive documentation
- Node.js 18+
- Python 3.12+
- Redis Server
- Clone the repository:
git clone https://github.com/sajalkmr/BackDash.git
cd BackDash
- Install frontend dependencies:
npm install
- Set up backend:
cd backend
python -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
pip install -r requirements.txt
- Start Redis:
redis-server
- Start Celery worker:
cd backend
celery -A app.core.celery_app worker --loglevel=info
- Start backend:
cd backend
uvicorn main:app --reload --host 127.0.0.1 --port 8000
- Start frontend:
npm run dev
- Access:
- Frontend:
http://localhost:5173
- API Docs:
http://127.0.0.1:8000/docs
├── backend/ # FastAPI backend
│ ├── app/ # Application code
│ │ ├── core/ # Core services (Celery, WebSocket)
│ │ └── api/ # API routes
│ └── data/ # Market data
├── src/ # React frontend
│ ├── components/ # UI components
│ │ ├── analytics/ # Analytics and export components
│ │ └── optimization/ # Strategy optimization interface
│ ├── services/ # WebSocket services
│ ├── data/ # Data loading utilities
│ └── utils/ # Utilities
└── public/ # Static assets (includes Dow Jones data)
/api/v1/strategy/*
- Strategy management and validation/api/v1/data/*
- Market data endpoints/api/v1/analytics/*
- Performance analytics and export functionality/api/v1/optimization/*
- Strategy optimization methods and configuration/ws/backtest/*
- WebSocket endpoints for real-time updates/ws/chart/*
- WebSocket endpoints for live chart data
MIT License