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Is our random forest model for OOS predictions improving with time? A Bayesian look.

In September 2016 I published a post about the results of our random forest model for out of sample predictions in our price action based system repository at Asirikuy. The aim of this model is to use the in-sample results of trading strategies – meaning their back-testing results – to predict the first six months […]

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