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undergraduate thesis
Analiza kriptovaluta
2023. urn:nbn:hr:166:774085
Radić, Marinko
University of Split
Faculty of Science
Department of Informatics

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Radić, M. (2023). Analiza kriptovaluta (Undergraduate thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:774085

Radić, Marinko. "Analiza kriptovaluta." Undergraduate thesis, University of Split, Faculty of Science, 2023. https://urn.nsk.hr/urn:nbn:hr:166:774085

Radić, Marinko. "Analiza kriptovaluta." Undergraduate thesis, University of Split, Faculty of Science, 2023. https://urn.nsk.hr/urn:nbn:hr:166:774085

Radić, M. (2023). 'Analiza kriptovaluta', Undergraduate thesis, University of Split, Faculty of Science, accessed 21 April 2024, https://urn.nsk.hr/urn:nbn:hr:166:774085

Radić M. Analiza kriptovaluta [Undergraduate thesis]. Split: University of Split, Faculty of Science; 2023 [cited 2024 April 21] Available at: https://urn.nsk.hr/urn:nbn:hr:166:774085

M. Radić, "Analiza kriptovaluta", Undergraduate thesis, University of Split, Faculty of Science, Split, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:166:774085

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Metadata
TitleAnaliza kriptovaluta
Title (english)Cryptocurrency analysis
AuthorMarinko Radić
MentorSaša Mladenović (mentor)
Committee memberSaša Mladenović (predsjednik povjerenstva)
Committee memberIvana Marin (član povjerenstva)
Committee memberDino Nejašmić (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Informatics)
Split
Defense date and country2023-09-25, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Kriptovalute su posljednja novost u razvoju novca koga ne emitira i regulira nijedna središnja banka ni institucija te nemaju pokriće u zlatu ili srebru već se zasnivaju na matematici i algoritmima, a smatra se rizičnim ulaganjem čija cijena ovisi o dobroj tehnologiji i sigurnosti koja stoji iza te kriptovalute. Ulagače u kriptovalute zanima je moguće na temelju povijesnih podataka kretanja tečaja kriptovalute predvidjeti cijenu u budućnosti pri čemu se koriste razne tehnike uključujući LSTM algoritam koji je korišten u ovom projektu. Za izradu projekta korišten je dataset koji sadrži povijesne podatke cijene Bitcoina u američkim dolarima od 2010. do 2019. godine, a ima za cilj stvoriti model koji će predvidjeti cijenu Bitcoina u USD-u na temelju tih povijesnih podataka. Da bi se utvrdila preciznost predviđanja modela uspoređujemo predviđene cijene s stvarnim cijenama iz dataseta
Abstract (english)
Cryptocurrencies are the latest innovation in the development of money that is not issued and regulated by any central bank or institution and is not backed by gold or silver, but is based on mathematics and algorithms, and is considered a risky investment whose price depends on the good technology and security behind that cryptocurrency. Investors in cryptocurrencies are interested in the possibility of predicting the price in the future based on the historical data of the cryptocurrency exchange rate, using various techniques including the LSTM algorithm that was used in this project. The project used a dataset containing historical Bitcoin price data in US dollars from 2010 to 2019, and aims to create a model that will predict the Bitcoin price in USD based on this historical data. To determine the precision of the model's predictions, we compare the predicted prices with the actual prices from the dataset.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:774085
Study programmeTitle: Computer Science
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2023-09-26 10:34:22