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  • Knowledge Discovery in the Stock Market with Bayesian Networks - Part 1



We demonstrate how BayesiaLab can generate a Bayesian network describing the interactions in the stock market. More specifically, we will use BayesiaLab's Unsupervised, Supervised and Semi-Supervised Learning algorithms to learn the movements of all stocks in the S&P 500 index over a period of several years. The resulting networks provide intuitive representations of the dynamics within the S&P 500 index.