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master's thesis
Platforma za trgovinu kriptovaluta u programskom jeziku Python
Diplomski rad
2021. urn:nbn:hr:145:214127
Ronta, Željko
Josip Juraj Strossmayer University of Osijek
Faculty of Economics and Business in Osijek
Chair of Quantitative Methods and Informatics

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Ronta, Ž. (2021). Platforma za trgovinu kriptovaluta u programskom jeziku Python : Diplomski rad (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:145:214127

Ronta, Željko. "Platforma za trgovinu kriptovaluta u programskom jeziku Python : Diplomski rad." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2021. https://urn.nsk.hr/urn:nbn:hr:145:214127

Ronta, Željko. "Platforma za trgovinu kriptovaluta u programskom jeziku Python : Diplomski rad." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2021. https://urn.nsk.hr/urn:nbn:hr:145:214127

Ronta, Ž. (2021). 'Platforma za trgovinu kriptovaluta u programskom jeziku Python : Diplomski rad', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, accessed 14 November 2024, https://urn.nsk.hr/urn:nbn:hr:145:214127

Ronta Ž. Platforma za trgovinu kriptovaluta u programskom jeziku Python : Diplomski rad [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek; 2021 [cited 2024 November 14] Available at: https://urn.nsk.hr/urn:nbn:hr:145:214127

Ž. Ronta, "Platforma za trgovinu kriptovaluta u programskom jeziku Python : Diplomski rad", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, Osijek, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:145:214127

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Metadata
TitlePlatforma za trgovinu kriptovaluta u programskom jeziku Python : Diplomski rad
Title (english)Cryptocurrency trading bot in Python : Graduate paper
AuthorŽeljko Ronta
MentorSlobodan Jelić (mentor)
Committee memberJosip Mesarić (predsjednik povjerenstva)
Committee memberMartina Briš Alić (član povjerenstva)
Committee memberSlobodan Jelić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Economics and Business in Osijek
(Chair of Quantitative Methods and Informatics)
Osijek
Defense date and country2021-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Business Informatics
Abstract
U samome početku generiranja digitalnog novca, kriptovaluta, postojale su brojne teorije koje su oslikavale kako kriptovaluta ne može opstati pored svakodnevnog, fizičkog novca. No pored svih negativnih teorija koje su govorile o kriptovalutama, one i dan danas postoje i služe kao sredstvo plaćanja između dvaju osoba. Ključna karakteristika kriptovaluta je decentraliziranost, odnosno nepostojanost trećeg subjekta unutar obračunske transakcije. Upravo ta karakteristika omogućila je svim ljudima da obavljaju transakcije slobodnije i bez praćenja institucija poput banki i države. Danas postoje brojni programi i algoritmi napisani u različitim programskim jezicima koji automatski obavljaju kupovinu i prodaju kriptovaluta. Kombinacijom određenih indikatora moguće je predvidjeti daljnje kretanje cijena kriptovaluta te na taj način omogućiti dnevni, mjesečni i godišnji profit za korisnika. U ovom diplomskom radu implementiran je algoritam u programskom jeziku Python koji, obzirom na indeks relativne snage, automatski obavlja kupovinu i prodaju kriptovalute ADA.
Abstract (english)
In the very beginning of minting digital money or cryptocurrencies, there were many theories that said cryptocurrencies can’t exist alongside our everyday paper money. Regardless of all the negative theories about cryptocurrencies, today they exist and represent a mean of payment between two persons. The key characteristic of cryptocurrencies is decentralisation which means there is no third party involved in a transaction. It was decentralisation that enabled everyone to make their transactions more freely and without any supervision from institutions like banks or governments. Today there are many programs and algorithms written in various programming languages which automatically purchase and sell cryptocurrency. By combining some indicators it is possible to forecast the future price and make a daily, monthly and yearly profit for the user. This graduate thesis implements a Python algorithm that takes the relative strength index into consideration and automatically buys and sells ADA cryptocurrency.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:145:214127
Study programmeTitle: Business economy; specializations in: Trade and logistics, Management, Logistic management , Business informatics
Course: Business informatics
Study programme type: university
Study level: graduate
Academic / professional title: Magistar/magistra ekonomije (Magistar/magistra ekonomije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-04-14 10:19:39