microsoft / microsoft/qlib

Proposal: Contribute a new feature and raise a PR for Qlib

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enhancement
Dominant language
Python
Stars
48.7k
Forks
7.7k
PR merge metrics
No merged PRs in 30d

Description

🌟 Feature Description

This issue proposes to contribute a new feature to the Qlib project and subsequently open a pull request for the contribution. The detailed nature of the contribution can be discussed and scoped with the maintainers.

Motivation

  1. Application scenario: Enhance Qlib's capabilities and encourage open-source contributions.
  2. Related works (Papers, Github repos etc.): Will reference relevant works based on the feature discussed.
  3. Any other relevant and important information: Aims to follow project guidelines and best practices for open-source contributions.

Alternatives

Alternatives may include suggesting improvements to existing features or modules, or contributing documentation or bug fixes instead of a new feature.

Additional Notes

Looking forward to feedback from the maintainers on where contributions are most needed, and the process for raising a pull request after receiving initial feedback.

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No specific feature, file, test, or entry point is identified in the issue. Start by reviewing Qlib's contribution guidelines and asking maintainers to define a concrete scope and relevant module. Done means an agreed feature is implemented and a pull request is opened.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
fintech-quant, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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