pyqlib 0.9.5

A Quantitative-research Platform

Stars: 15342, Watchers: 15342, Forks: 2626, Open Issues: 245

The microsoft/qlib repo was created 4 years ago and the last code push was 1 months ago.
The project is extremely popular with a mindblowing 15342 github stars!

How to Install pyqlib

You can install pyqlib using pip

pip install pyqlib

or add it to a project with poetry

poetry add pyqlib

Package Details

Author

None

License

MIT Licence

Homepage

https://github.com/microsoft/qlib

PyPi:

https://pypi.org/project/pyqlib/

GitHub Repo:

https://github.com/microsoft/qlib

Classifiers

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Errors

A list of common pyqlib errors.

Code Examples

Here are some pyqlib code examples and snippets.

GitHub Issues

The pyqlib package has 245 open issues on GitHub

• add weight param
• Upgrading lightGBM API usage
• train() got an unexpected keyword argument 'reweighter'
• benchmarks_dynamic example error: runcate assert tp_idx > 0
• loss_fn() takes 3 positional arguments but 4 were given
• Update Portfolio README.md
• Unsure of how to prepare weight data for EnhancedIndexingStrategy
• Adapter py39 include reademe,ci,pypi
• Test
• Some links about high-frequency trading
• empty dataset error for benchmark dynamics using gbdt meta
• Can Qlib do high_frequency trading(in second/minute level)?
• How to avoid INFO WARNING output in console?
• Update yahoo data to binary error
• Label does not match calculation from sorce data

See more issues on GitHub