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Using-K-Means Clustering for Pair Selection in Python

The Juptyer Notebook contains the content and Python code for the four part series published on the blog of QuantInsti. An overview is provided of K-Means, an illustration is given of conducting pair selection without K-Means, a walkthrough of selecting the value for K is made, and a StatArb strategy is coded in Python using K-Means.

Fundamental features were used on the 505 stocks in the S&P 500. An Excel file has been included that provides the fundamental features of each stock in the index of which was used in this post.

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