This project is a comprehensive algorithmic trading web application developed in Python using the Alpaca API. The application enables users to manage their order and portfolio positions, apply trading strategies, and receive real-time notifications.
- Trading Strategies: Implements Bollinger Band and Opening Range Breakout (ORB) strategies for automated trading decisions.
- RESTful API: Built with the FastAPI framework and powered by the uvicorn web server, providing a robust backend for the application.
- Job Scheduling: Utilizes Crontab job scheduling to regularly update records in the SQL database with new symbols and price data.
- Frontend Interface: A feature-rich frontend allows users to filter stocks based on recent performance, create personalized watchlists, select trading strategies, and receive instant trade notifications via email and SMS.
- Portfolio Management: Users can view and manage their portfolio positions, with real-time updates and detailed analytics.
- Placing Orders: Users can place market, limit, and stop orders for stocks and ETFs directly from the application.
- Viewing Positions: The portfolio management section provides a real-time view of all open positions, including profit/loss details.
- Bollinger Band Strategy: Automatically trades based on the Bollinger Band strategy, which identifies overbought and oversold conditions.
- Opening Range Breakout (ORB) Strategy: Implements the ORB strategy, which looks for significant price movements within the first hour of trading.
- Email and SMS Alerts: Users receive instant notifications when a buy or sell order is executed, ensuring they are always informed about their trading activities.
-
Alpaca API:
-
Backtesting:
-
Webpage Design:
-
Tutorial: