Development of web data acquisition application for criptocurrency value estimation

Investitorji kriptovalut se srečujejo z različnimi vrednostmi valut na številnih kriptovalutnih borzah. Zaradi večjega števila borz je skorajda nemogoče imeti ustrezen pregled nad vsemi vrednostmi tečajev. Tako so lahko vlagatelji prikrajšani za dobršen del dobička, če ne trgujejo na borzi, ki ima v danem trenutku najvišjo vrednost določene kriptovalute. Zato je bil naš cilj razviti aplikacijo, ki omogoča pregled nad vrednostjo valute na različnih kriptovalutnih borzah. V diplomskem delu smo predstavili kriptovalute in kriptovalutne borze ter dva načina pridobivanja podatkov s spletnih strani z uporabo metod strganja podatkov oziroma z API-vmesniki strani. V delu je predstavljen tudi programski jezik ECMAScript, ki smo ga uporabili za programiranje aplikacije in objektno orientirano programiranje. Predstavljene so tudi oblačne storitve, kot sta Cloud9 in Nodejs, ter princip strganja podatkov na praktičnem primeru. V delu smo opisali tudi, kako je potekal razvoj aplikacije od zasnove do končnega izdelka. Na koncu smo navedli izhodišča in cilje nadaljnjega razvoja.Cryptocurrency investors are confronted with different values of cryptocurrencies, on a number of different cryptocurrency exchanges. To have an overview of a large number of crypto-exchganes at the same time is almost impossible. This is the main problem, that is addressed in the thesis. If the investors do not trade on the exchange with the highest value of the cryptocurrency at the given moment, they might be deprived of a large share of their profits. That is why our goal was to develop an application that provides an overview of the cryptocurrency values on different cryptocurrency exchanges. In diploma thesis we presented the theory behind the cryptocurrencies and crypto-exchanges. We also introduced two ways of obtaining data from the web sites by using web scraping method or via APIs. The diploma also presents ECMAScript programming language, which was used for the software development, and object oriented programming. Web scraping method is explained on a practical example and also the whole application development. Because the application is web based, we presented cloud services in general, Cloud9 and Node.js. In the end we introduced some starting points for the future development