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Trgovalni sistem nad digitalno valuto Bitcoin
ID TURŠIČ, SAMO (Author), ID Lavbič, Dejan (Mentor) More about this mentor... This link opens in a new window

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PID: 20.500.12556/rul/70394c5b-95e9-4659-90ab-6e1184e7e9b3

Abstract
V okviru diplomskega dela je bila izdelana informacijska rešitev, ki omogoča izvajanje različnih trgovalnih strategij nad kriptovaluto Bitcoin. Podprte borze so Bitstamp, Btc-e ter MtGox. Na področju tehnične analize za Bitcoin že obstajajo razne rešitve, ki trgovalcem pomagajo pri trgovanju in jim svetujejo s pomočjo tehničnih indikatorjev in vzorcev. Vendar ima vsaka rešitev svoje slabosti, ki se jih je želelo odpraviti. Razvita je bila spletna aplikacija v tehnologiji Node.js, ki poleg izvajanja strategij na zgodovinskih podatkih za vsako podprto borzo ponuja še prikaz grafa vrednosti kriptovalute skozi čas z japonskimi svečniki ter grafa globine trga skupaj s knjigo naročil. Uporabnik ima možnost implementirati tudi lastno strategijo. Trgovalni podatki, ki so potrebni za delovanje spletne aplikacije in morajo biti osveženi, se s podprtih borz pridobivajo preko vmesnikov API s pomočjo javanskih programov in shranjujejo v podatkovno bazo MongoDB.

Language:Slovenian
Keywords:Bitcoin, tehnična analiza, tehnični indikator, izvajanje trgovalnih strategij, japonski svečniki, Node.js, MongoDB, pridobivanje podatkov, Java
Work type:Bachelor thesis/paper
Organization:FRI - Faculty of Computer and Information Science
Year:2014
PID:20.500.12556/RUL-29462 This link opens in a new window
Publication date in RUL:12.09.2014
Views:1974
Downloads:1159
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Secondary language

Language:English
Title:Bitcoin trading system
Abstract:
In this thesis an information solution was developed that enables the implementation of different trading strategies and backtesting over cryptocurrency Bitcoin trading data. Supported exchanges are Bitstamp, BTC-e and MtGox. In the field of technical analysis there already exist various solutions for Bitcoin that help traders to trade and advise them on basis of technical indicators and patterns. However, each has its own drawbacks, which we are aiming to fix. A web application was developed in Node.js technology, which in addition to the backtesting for each supported exchange also displays a chart that shows the value of cryptocurrency over time with Japanese candlesticks and market depth chart along with orderbook. The user has the option to implement its own strategy. Trading data, which are necessary for web application to function properly are obtained using APIs of supported exchanges with the help of Java programs and are stored in MongoDB database.

Keywords:Bitcoin, technical analysis, technical indicator, backtesting, Japanese candlestick, Node.js, MongoDB, data extraction, Java

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