portfolio-optimization
Portfolio optimization using PyPortfolioOpt for mean-variance optimization, efficient frontier analysis, risk modeling, and discrete allocation. Use when building investment portfolios, calculating optimal weights, analyzing risk-return tradeoffs, maximizing Sharpe ratio, minimizing volatility, or converting weights to share allocations. Supports HRP, CVaR, semivariance, and custom objectives.
Installation and usage
Portfolio optimization using PyPortfolioOpt for mean-variance optimization, efficient frontier analysis, risk modeling, and discrete allocation. Use when building investment portfolios, calculating optimal weights, analyzing risk-return tradeoffs, maximizing Sharpe ratio, minimizing volatility, or converting weights to share allocations. Supports HRP, CVaR, semivariance, and custom objectives.
安裝後，您可以透過在終端機執行以下指令來使用此技能：
skills use portfolio-optimization