In this tutorial we will walk you through Hidden Markov models applied to algorithmic / quant trading.

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Hidden Markov Models assume that we don’t know the transition probabilities and related hidden states of our processes, leaving us with a modeling approach that makes a lot of sense for quantitative analysis of financial time series.


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