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initial-d/ml-quant-trading

PyTorch ML quant research: 213 factors, bias correction, portfolio optimization, backtesting, and System-One/Jev-style decisions.

Commercial OK · MITCPU only OKPython
Open on GitHub Website
Stars
97
Forks
39
Open issues
3
Last push
1d ago

About ml-quant-trading

ml-quant-trading is a free, open-source AI developer tool by initial-d, written mainly in Python. PyTorch ML quant research: 213 factors, bias correction, portfolio optimization, backtesting, and System-One/Jev-style decisions. It has 97 GitHub stars and 39 forks, and was last updated 1d ago. It's released under the MIT license, a standard open-source license. According to the project, it runs on a regular CPU without a GPU.

License
MIT
Commercial use
Commercial OK
Language
Python
Stars
97
Last update
1d ago
Runs on Mac
Not stated
GPU
Not needed (runs on CPU)
Paid API key
Not stated
Self-hostable
Yes

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ml-quant-trading FAQ

Can I use ml-quant-trading commercially?

Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.

Is ml-quant-trading free?

Yes. ml-quant-trading is open source and free to use. It's released under the MIT license, a standard open-source license.

Does ml-quant-trading run on a Mac?

The project doesn't say. Check its installation guide before you start.

Does ml-quant-trading need a GPU?

No. According to the project, ml-quant-trading runs on a regular CPU.

Is ml-quant-trading still maintained?

Yes. It was last updated 1d ago and has 3 open issues on GitHub.

What are alternatives to ml-quant-trading?

Similar free, open-source tools include prompt-optimizer, langchain, dsh-desktop, new-api.

Related topics

a-sharesalgorithmic-tradingalpha-factorsbacktestingchina-stock-marketcross-sectionalfactor-investingmachine-learning