enzoampil/fastquant
A Python backtesting library for optimizing machine learning trading strategies with minimal code.
Not currently ranked — collecting fresh signals.
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Fastquant enables users to backtest and optimize investment strategies using historical stock and cryptocurrency data. It provides easy access to Yahoo Finance and Philippine Stock Exchange data, allowing traders to run strategy simulations and evaluate performance. While it frames itself around ML trading strategies, the core functionality is financial backtesting rather than model development.
Frequently asked
- What is enzoampil/fastquant?
- A Python backtesting library for optimizing machine learning trading strategies with minimal code.
- Is fastquant open source?
- Yes — enzoampil/fastquant is open source, released under the MIT license.
- What language is fastquant written in?
- enzoampil/fastquant is primarily written in Jupyter Notebook.
- How popular is fastquant?
- enzoampil/fastquant has 1.8k stars on GitHub.
- Where can I find fastquant?
- enzoampil/fastquant is on GitHub at https://github.com/enzoampil/fastquant.