This is the Linux app named PyBroker whose latest release can be downloaded as v1.2.10sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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PyBroker
DESCRIPTION
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
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/pybroker.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
