The BIZ Europa Bull fund’s approach is based on a set of algorithms designed to optimally select stocks and simultaneously guarantee the limits of exposure to the market. The selection strategy is based on capturing high returns in growth trends of companies in relation to their sector of activity. This fund uses a method/algorithm commonly known as Boosted Decision Trees. This type of method is algorithms already commonly used in research, namely in particle physics in classification and regression problems due to their great robustness and large-scale information processing capacity. The exposure control model is based on variations of the main European indices to predict periods of growth (Bull Market) or market decline (Bear Market). Our risk management is based on a set of clearly defined rules and on the constant adjustment of the portfolio to changing market conditions.