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master's thesis
Sustav za automatizirano trgovanje kriptovalutama utemeljen na strojnom učenju
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:837788
Štoković, Filip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Štoković, F. (2021). Sustav za automatizirano trgovanje kriptovalutama utemeljen na strojnom učenju (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:837788

Štoković, Filip. "Sustav za automatizirano trgovanje kriptovalutama utemeljen na strojnom učenju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:837788

Štoković, Filip. "Sustav za automatizirano trgovanje kriptovalutama utemeljen na strojnom učenju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:837788

Štoković, F. (2021). 'Sustav za automatizirano trgovanje kriptovalutama utemeljen na strojnom učenju', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 22 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:837788

Štoković F. Sustav za automatizirano trgovanje kriptovalutama utemeljen na strojnom učenju [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 July 22] Available at: https://urn.nsk.hr/urn:nbn:hr:168:837788

F. Štoković, "Sustav za automatizirano trgovanje kriptovalutama utemeljen na strojnom učenju", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:837788

Metadata
TitleSustav za automatizirano trgovanje kriptovalutama utemeljen na strojnom učenju
Title (english)Machine-Learning Software for Automated Trading With Cryptocurrencies
AuthorFilip Štoković
MentorNikica Hlupić (mentor)
Committee memberNikica Hlupić (predsjednik povjerenstva)
Committee memberSlaven Zakošek (član povjerenstva)
Committee memberBoris Vrdoljak (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-02, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj ovog rada bio je izrada sustava za automatizirano trgovanje kriptovalutama (točnije Bitcoinom) utemeljen na strojnom učenju koji se nalazi u Google Cloudu. Nakon prikupljanja potrebnih podataka i modeliranja sustava, on je trebao prvo saznati trenutno stanje tržišta. Kada to sazna, treba te podatke unijeti u istrenirani model, odnosno neuronsku mrežu, koja daje svoje predviđanje. Ako neuronska mreža i društveni pokazatelji daju pozitivni signal, sustav treba signalizirati walletu da postavi narudžbu za prethodno određen iznos Bitcoina. Vrsta narudžbe je takva da sustav ne mora brinuti u kojem trenutku treba prodati kupljene kriptovalute, nego samo traži pravi trenutak kada ih kupiti.
Abstract (english)
Point of this thesis was building a machine learning software for algorithmic tra- ding with cryptocurrencies (more precisely Bitcoin) placed on Google Cloud. After gathering needed data and building the software, firstly it needed to get the data of the current market position. When it is done, that data is fed to previously trained ne- ural network which then predicts if the cryptocurrency should be bought. If the neural network and the social indicators give positive signal, the software sends a (trailing stop loss) order with predefined amount to the wallet. Order is set up that way so the software doesn’t need to worry about perfect time to sell the asset.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:837788
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-13 10:48:31