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A Comprehensive Review of Machine Learning Methods in Stock Market
dc.contributor.authorSpinu, Magdalena
dc.contributor.advisorJin Lu
dc.date.accessioned2022-08-29T19:24:31Z
dc.date.available2022-08-29T19:24:31Z
dc.date.issued2022-08-24
dc.identifier.urihttps://hdl.handle.net/2027.42/174143
dc.description.abstractThe analysis of the performance of different agents on 20 stocks given a 6 years time range of the stock market, comparison between the agents, and identifying the most/least reliant agent. Identifying and evaluating the different factors and events that contribute to the changes in the stock market and proposing a potential solution for better stock performance.
dc.languageEnglish
dc.subjectMachine learning
dc.subjectModels
dc.subjectStock
dc.titleA Comprehensive Review of Machine Learning Methods in Stock Market
dc.typeThesis
dc.description.thesisdegreenameMaster of Science (MS)en_US
dc.description.thesisdegreedisciplineInformation Systems and Technology, College of Engineering & Computer Science
dc.description.thesisdegreegrantorUniversity of Michigan-Dearborn
dc.subject.hlbtoplevelComputer Science
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/174143/1/Magdalena_Spinu_Final_Thesis.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/5874
dc.identifier.orcid0000-0001-8834-7778
dc.identifier.name-orcidSpinu, Magdalena; 0000-0001-8834-7778en_US
dc.working.doi10.7302/5874en
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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