Download
Are you looking to enhance your trading strategies with the power of Python and machine learning? Then you need to check out PyBroker! This Python framework is designed for developing algorithmic trading strategies, with a focus on strategies that use machine learning. With PyBroker, you can easily create and fine-tune trading rules, build powerful models, and gain valuable insights into your strategy’s performance.
Features
- A super-fast backtesting engine built in NumPy and accelerated with Numba
- The ability to create and execute trading rules and models across multiple instruments with ease
- Access to historical data from Alpaca, Yahoo Finance, AKShare, or from your own data provider
- The option to train and backtest models using Walkforward Analysis, which simulates how the strategy would perform during actual trading
- More reliable trading metrics that use randomized bootstrapping to provide more accurate results
- Caching of downloaded data, indicators, and models to speed up your development process
- Parallelized computations that enable faster performance
Project Samples
License
MIT LicenseFollow PyBroker
Other Useful Business Software
Demo Series - Small Business Backup By Veeam
Watch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of PyBroker!
