machine-learning-for-trading
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Develop, test, and implement machine learning strategies for trading, from initial data gathering to live market execution.
From the README
git clone https://github.com/stefan-jansen/machine-learning-for-trading.git cd machine-learning-for-trading cp .env.example .env
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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machine-learning-for-trading has 20.7k stars on GitHub. It has been forked 5.6k times. machine-learning-for-trading is written mainly in Jupyter Notebook. It has been in active development since 2018. machine-learning-for-trading is available under the MIT license. Its main topics are algorithmic-trading, artificial-intelligence, backtesting, data-science.
What is machine-learning-for-trading?
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Is machine-learning-for-trading open source?
machine-learning-for-trading is an open-source project. It is released under the MIT license.
Is machine-learning-for-trading free?
Yes. machine-learning-for-trading is free and open source — you can use, modify and self-host it.
What license does machine-learning-for-trading use?
machine-learning-for-trading is available under the MIT license.
What language is machine-learning-for-trading written in?
machine-learning-for-trading is written mainly in Jupyter Notebook.
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