diplomsko delo
Tomi Šeregi (Author), Jure Žabkar (Mentor)

Abstract

V okviru diplomske naloge smo izdelali aplikacijo z grafičnim uporabniškim vmesnikom za prikaz modeliranih podatkov, pridobljenih iz različnih aplikacijskih programskih vmesnikov (angl. API) treh različnih trgovalnih platform: Covalent, CoinGecko in Coinbase Cloud. Aplikacija vsebuje vse osnovne informacije, ki jih ponujajo današnje trgovalne platforme. Namen aplikacije je prikaz domnevno najbolj potrebne informacije za popolno analizo kriptovalut, ne da bi jih iskali iz več virov. V številnih primerih, ko borza kriptovalut ali drugi vir uporabnikom prikaže informacije o kriptovalutah, predstavljeni podatki niso enotni in uporabniku ne zadoščajo, zaradi česar se uporabnik obrne na druge spletne vire. To težavo smo poskusili rešit tako, da smo zbrali številne strokovnjake za kriptovalute in pridobili njihove povratne informacije o obravnavani temi.

Keywords

kriptovalute;borze kriptovalut;analiza kriptovalut;Covalent;CoinGecko;Coinbase cloud;API;REST;Ethereum;visokošolski strokovni študij;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FRI - Faculty of Computer and Information Science
Publisher: [T. Šeregi]
UDC: 004.9:336.74(043.2)
COBISS: 142916355 Link will open in a new window
Views: 30
Downloads: 5
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Other data

Secondary language: English
Secondary title: Data Modeling of Blockchain Explorer
Secondary abstract: In this thesis we created an application with a graphical user interface to display modeled data obtained from various application programming interfaces (APIs) of three different trading platforms: Covalent, CoinGecko, and Coinbase Cloud. The application has all the basic information that today's trading platforms offer. The purpose of the application is to display the supposedly most necessary information for complete cryptocurrency analysis without searching on multiple sources. In many cases, when a cryptocurrency exchange or other source displays information about cryptocurrencies to users, the presented data is not uniform and does not suffice for the user, which leads the user to turn to other online sources. We attempted to solve this problem by gathering many cryptocurrency experts and obtaining their feedback on the topic being considered.
Secondary keywords: blockchain;cryptocurrency;cryptocurrency exchanges;application;cryptocurrency analysis;Covalent;CoinGecko;Coinbase cloud;API;REST API;Ethereum;computer sciencse;diploma;Modeliranje podatkov (računalništvo);Verige blokov (zbirke podatkov);Digitalna valuta;Računalništvo;Univerzitetna in visokošolska dela;
Type (COBISS): Bachelor thesis/paper
Study programme: 1000470
Embargo end date (OpenAIRE): 1970-01-01
Thesis comment: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages: 68 str.
ID: 18068467