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PythonReactSEOPDF
GitHub Skill

mean-variance-optimization

Performs mean-variance portfolio optimization to find the tangency portfolio. This skill should be used when users want to calculate optimal portfolio weights, the tangency portfolio, or perform mean-variance optimization with multiple assets. The skill interactively collects expected returns, standard deviations, correlations, and the risk-free rate, then computes and explains the tangency portfolio that maximizes the Sharpe ratio.

kerryback☆ 0 Repository stars0 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill instructions

Features and purpose

Performs mean-variance portfolio optimization to find the tangency portfolio. This skill should be used when users want to calculate optimal portfolio weights, the tangency portfolio, or perform mean-variance optimization with multiple assets. The skill interactively collects expected returns, standard deviations, correlations, and the risk-free rate, then computes and explains the tangency portfolio that maximizes the Sharpe ratio.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

Guides ↗

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-21
Index updated
2026-01-26
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

GitHub ↗

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