Deep learning methods application in finance: a review of state of art

Abstract

Artificial intelligence uses in financial markets or business units forms financial innovations. These innovations are the key indicator for economic grow and intelligent finance system formation. Recants years scientist and most innovation driving companies, such as Google, IBM, Microsoft and other, are focusing in deep learning methods. These methods have achieved significant performances in diverse areas: image recognition, natural language processing, speech recognition, video processing, etc. Therefore, it is necessary to understand the variety of deep learning methods and only then their applicability in the financial field. Accordingly, in this paper firstly is presented differences in science community already settled deep learning method’s architectures. Secondly, is shown a big picture of developing scientific articles of deep learning uses in finance field, where the most used deep learning methods were identified. Finally, the conclusion, limitations and future work have been shown.