Possibilities of usage of machine learning in stock trading

dc.contributor.advisor	Leping, Vambola, juhendaja
dc.contributor.author	Atsberger, Igor
dc.contributor.other	Tartu Ülikool. Loodus- ja täppisteaduste valdkond	et
dc.contributor.other	Tartu Ülikool. Arvutiteaduse instituut	et
dc.date.accessioned	2023-11-02T13:05:29Z
dc.date.available	2023-11-02T13:05:29Z
dc.date.issued	2020
dc.description.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.	et
dc.identifier.uri	https://hdl.handle.net/10062/93975
dc.language.iso	eng	et
dc.publisher	Tartu Ülikool	et
dc.rights	openAccess	et
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Machine learning	et
dc.subject	stock trading	et
dc.subject.other	bakalaureusetööd	et
dc.subject.other	informaatika	et
dc.subject.other	infotehnoloogia	et
dc.subject.other	informatics	et
dc.subject.other	infotechnology	et
dc.title	Possibilities of usage of machine learning in stock trading	et
dc.type	Thesis	et