M
machine-learning-for-trading
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
★20.3kstars
Jupyter Notebook
MIT
Updated: Today
📋 Project at a Glance
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What's this?Learning & Resources project leveraging algorithmic-trading and artificial-intelligence, built with Jupyter Notebook, open-source
Who made it?Maintained by stefan-jansen team, 20.3K⭐ on GitHub, #139 out of 3640 in Learning & Resources
Why does it exist?The stefan-jansen team recognized that existing algorithmic-trading tools in Learning & Resources were hard to use. machine-learning-for-trading was designed to make artificial-intelligence more accessible.
What can it do?Key use cases: backtesting, data-science, deep-learning
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/stefan-jansen/machine-learning-for-trading | 官网 https://ml4trading.io
🔗 github.com/stefan-jansen/machine-learning-for-trading | 官网 https://ml4trading.io
Topics
algorithmic-tradingartificial-intelligencebacktestingdata-sciencedeep-learningfinanceinvestmentinvestment-strategieslarge-language-modelsmachine-learningml4t-workflowpolarsquantitative-financereinforcement-learningsynthetic-datatradingtrading-agenttrading-strategies