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Investing using Python: Hidden Markov Models factors in pictures (sample strategy)

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Hidden Markov Models are generative, probabilistic models, in which a sequences of visible variables are generated by some unknown ("hidden") states. In other words, we'll try to find some unknown probabilistic generative functions for, let's say, S&P500. As this will also be short, no checks for errors, no out of sample tests, etc. I've done […]

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