Possibilities of usage of machine learning in stock trading
Name
Igor Atsberger
Abstract
The rapid development of information technologies has made a favorable conditions for the development of new ways of earning money. This happened through accessibility of machine learning and stock trading to usual people. Combination of these two technical phenomenons could potentially make a person rich if they succeed in construction of neural network that would predict stock prices with a certain degree of precision. The goal of this research is to create such model using freely-accessible technologies.
Graduation Thesis language
English
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Vambola Leping
Defence year
2020