Thesis Details

Predikce kursů pro obchodování na akciových trzích

Master's Thesis Student: Mikulenčák Roman Academic Year: 2014/2015 Supervisor: Černocký Jan, prof. Dr. Ing.
English title
Prediction of Prices in Stock Exchange Trading
Language
Czech
Abstract

The work deals with an automatic trading system and adaptive training. Is used both technical and automatic fundamental analyses, therefore as inputs to the neural network is used historical data exchanges and text data from reports. It explains the basics of trading, technical analysis and technical terms. The work deals with technical and fundamental analysis. It contains a description of algorithmic nature, program implementation and experiment with developed trading system. The selected strategy is compared to other approaches.

Keywords

Trading, stock market, stock exchange, strategy, candlestick chart, candle formation, stock market prediction, stock forecast, neural network, fundametal analysis

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology, Field of Study Intelligent Systems
Files
Status
defended, grade C
Date
23 June 2015
Reviewer
Szőke Igor, Ing., Ph.D.
Committee
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Meduna Alexander, prof. RNDr., CSc. (DIFS FIT BUT), člen
Steingartner William, Ing., Ph.D. (TUKE), člen
Citation
MIKULENČÁK, Roman. Predikce kursů pro obchodování na akciových trzích. Brno, 2015. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-23. Supervised by Černocký Jan. Available from: https://www.fit.vut.cz/study/thesis/17801/
BibTeX 
@mastersthesis{FITMT17801,
    author = "Roman Mikulen\v{c}\'{a}k",
    type = "Master's thesis",
    title = "Predikce kurs\r{u} pro obchodov\'{a}n\'{i} na akciov\'{y}ch trz\'{i}ch",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/17801/"
}

Theses

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