Thesis Details

Algoritmické obchodování na burze s využitím genetických algoritmů

Master's Thesis Student: Červíček Karel Academic Year: 2018/2019 Supervisor: Szőke Igor, Ing., Ph.D.
English title
Algorithmic Trading Using Genetic Algorithms
Language
Czech
Abstract

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Automatization is higly used in stock traiding. The thesis try to exploid optimalization

principles and machine learning. Developed and tested stock traiding system proces financial

time series and generate optimal strategy

Keywords

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Machine learning, genetic algorithm, Forextraiding, traiding system

Department
Degree Programme
Information Technology, Field of Study Computer Graphics and Multimedia
Files
Status
defended, grade D
Date
17 June 2019
Reviewer
Committee
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), předseda
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Polčák Libor, Ing., Ph.D. (DIFS FIT BUT), člen
Šimko Marián, doc. Ing., Ph.D. (FIIT STU), člen
Citation
ČERVÍČEK, Karel. Algoritmické obchodování na burze s využitím genetických algoritmů. Brno, 2019. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-17. Supervised by Szőke Igor. Available from: https://www.fit.vut.cz/study/thesis/21848/
BibTeX
@mastersthesis{FITMT21848,
    author = "Karel \v{C}erv\'{i}\v{c}ek",
    type = "Master's thesis",
    title = "Algoritmick\'{e} obchodov\'{a}n\'{i} na burze s vyu\v{z}it\'{i}m genetick\'{y}ch algoritm\r{u}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/21848/"
}
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