The best method we have found up until now to build historically profitable machine learning based systems is to construct strategies that attempt to predict the specific outcome of a given trading setup. This means that using some set of inputs – such as bar returns or indicators – you attempt to predict how a … Continue reading Machine learning in trading: Predicting multiple trade outcomes using a linear regression model