PyPortfolioOpt Library Extraction & Cleaning

• Status: Closed
• Prize: $100
• Entries Received: 1
• Winner: ruiteixeira93

Winner

Contest Brief

Hello!

I'm looking for a skilled Python developer, particularly one who is proficient with numpy and cvxpy, for an extraction and cleaning job.

Tasks to be done include:
* Extraction and cleaning of certain classes from the PyPortfolioOpt library.
* Distilling these classes into simple functions.

Key features to be worked on include:
* Classes, with a focus on 'Return models’.

In particular, I require the extraction and refinement of the 'efficient risk' model from the Return models.

Necessary skills and experience:
* Proficiency in Python
* Experience with numpy and cvxpy
* Familiarity with the PyPortfolioOpt library
* Understanding of return models in financial portfolio optimization

I hope to find the right person for this task. If you fit the profile, I'm eager to hear from you.

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