MSTA: Multi Strategy Trading Algorithm Hybrid trading algorithm using a set of predictive methods to detect trends in market price time series. The set of predictions is then retreated through an ensemble method to provide a final prediction and a trading strategy is built on it. Main guidelines: Why will the algo work? Let us not forget how hard it is to predict asset returns. Here we will try to gain an edge over the market by cleverly combining different signals coming from different approaches. These approaches will come from two main different types of predictive algorithm: Technical analysis and Machine Learning. It is very important to have a set of classic algo trading strats well calibrated to begin with. Indeed, the ML algos can only provide an edge if we use them with the right calibration approach, but it is a mistake to believe they can learn everything by themselves if they don’t have the right dataset, hence we need to be very careful about how we will treat the results of these algos. A clever approach for example would be to use data science methods to tune hyperpara

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