Contents

pyqlib 0.8.6

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A Quantitative-research Platform

A Quantitative-research Platform

Stars: 9566, Watchers: 9566, Forks: 1715, Open Issues: 223

The microsoft/qlib repo was created 2 years ago and was last updated an hour ago.
The project is extremely popular with a mindblowing 9566 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
License
MIT Licence
Homepage
https://github.com/microsoft/qlib
PyPi
https://pypi.org/project/pyqlib/
GitHub Repo
https://github.com/microsoft/qlib

Classifiers

No  pyqlib  pypi packages just yet.

Errors

A list of common pyqlib errors.

Code Examples

Here are some pyqlib code examples and snippets.

GitHub Issues

The pyqlib package has 223 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

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