DeepInvest project will apply innovative machine learning techniques for the realization of optimal decision support for portofolio management. During the project, research and development will be conducted leading to: a) new machine learning models for efficient, faster and ultimately more profitable stock prediction, based on novel deep learning techniques and research efforts by members of the consortium, and b) automated portofolio management software, aimed at both retail and institutional investors; the software will be able to produce investment recommendations in an efficient and fast manner, taking into account the investor profile and risk tolerance. This kind of automated management will require minor human intervention, offering personalized, effective investment recommendations at a smaller cost.

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