Our ClearAdapt machine learning beta model adjusts by rule-learning and patterns recognition to realise trading goals such as minimizing a prediction error. It works to extract historical  information from data to support and automate trade executions. It observes the market and analyzes data to form expectations about the future price movements and decides on placing buy or sell orders, hence managing the resulting portfolio to produce attractive returns relative to the risk.