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undergraduate thesis
Podržano učenje za simulirano trgovanje kriptovalutama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:177332
Kozina, Fabijan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Kozina, F. (2021). Podržano učenje za simulirano trgovanje kriptovalutama (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:177332

Kozina, Fabijan. "Podržano učenje za simulirano trgovanje kriptovalutama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:177332

Kozina, Fabijan. "Podržano učenje za simulirano trgovanje kriptovalutama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:177332

Kozina, F. (2021). 'Podržano učenje za simulirano trgovanje kriptovalutama', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 February 2025, https://urn.nsk.hr/urn:nbn:hr:168:177332

Kozina F. Podržano učenje za simulirano trgovanje kriptovalutama [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2025 February 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:177332

F. Kozina, "Podržano učenje za simulirano trgovanje kriptovalutama", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:177332

Metadata
TitlePodržano učenje za simulirano trgovanje kriptovalutama
Title (english)Reinforcement Learning for Cyrptocurrency Trading
AuthorFabijan Kozina
MentorVladimir Čeperić (mentor)
Committee memberVladimir Čeperić (predsjednik povjerenstva)
Committee memberVjeko Kužina (član povjerenstva)
Committee memberEugen Vušak (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Primjena podržanog učenja u algoritamskom trgovanju kriptovaluta. Opisati terminologiju i teoriju iza kriptovaluta kao oblika digitalne imovine, te navesti prednosti i rizike trgovanja takvim financijskim instrumentom. Kao produkt završnog rada predstaviti simulirano okruženje u kojem se API pozivom prikupljaju podatci, obavljaju se potrebne manipulacije nad njima, te se na kraju podatci šalju u okruženje u kojem se izvode akcije kupnje ili prodaje kriptovalute, konkretno Bitcoina. Za kraj opisati mjere kojima se procjenjuje uspješnost razvijenog modela i navesti ideje za poboljšanje trenutnog modela.
Abstract (english)
Example showcasing use of reinforcement learning in algorithmic trading. Describe technology concepts behind cryptocurrencies as a form of digital asset, as well as show different advantages and risks of investing in such assets. Product of this paper is a virtual environment which buys or sells Bitcoin, based on data provided by API call. In the end, several measures of success are introduced in order to measure the results of trading in the environment.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:177332
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-14 20:50:47