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Application of Machine Learning Algorithms for Forecasting the Financial Market

Student: Nick Avalov

Supervisor: Nikolay I. Berzon

Faculty: Faculty of Economic Sciences

Educational Programme: Financial Engineering (Master)

Final Grade: 9

Year of Graduation: 2020

The development of stock market involves the creation of a mechanism that will allow to trade securities using strict mathematical laws. The successful implementation of machine learning algorithms in solving various problems has caused an undeniable interest in the possibility of using these algorithms in trading. This paper explores the possibility of using machine learning for conducting technical and fundamental analysis.

Full text (added June 10, 2020)

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