A Coding Implementation to Portfolio Optimization with skfolio for Building Testing, Tuning, and Comparing Modern Investment Strategies
MarkTechPost
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In this tutorial, we explore skfolio, a scikit-learn compatible portfolio optimization library that helps us build, compare, and evaluate different investment strategies in a structured Python workflow.
We start by loading S&P 500 price data, converting it into returns, and creating a time-based train-test split suitable for financial analysis.
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Original source: MarkTechPost