diplomsko delo
Samo Turšič (Author), Dejan Lavbič (Mentor)

Abstract

Trgovalni sistem nad digitalno valuto Bitcoin

Keywords

Bitcoin;tehnična analiza;tehnični indikator;izvajanje trgovalnih strategij;japonski svečniki;Node.js;MongoDB;pridobivanje podatkov;Java;računalništvo;računalništvo in informatika;univerzitetni študij;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FRI - Faculty of Computer and Information Science
Publisher: [S. Turšič]
UDC: 004.9:336.74(043.2)
COBISS: 10769236 Link will open in a new window
Views: 75
Downloads: 8
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Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
Secondary title: Bitcoin trading system
Secondary 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.
Secondary keywords: Bitcoin;technical analysis;technical indicator;backtesting;Japanese candlestick;Node.js;MongoDB;data extraction;Java;computer science;computer and information science;diploma;
File type: application/pdf
Type (COBISS): Bachelor thesis/paper
Study programme: 1000468
Thesis comment: Univerza v Ljubljani, Fak. za računalništvo in informatiko
Pages: 59 str.
ID: 8739370
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