Comparison of trading systems based on technical analysis using real and random data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F18%3A10241053" target="_blank" >RIV/61989100:27510/18:10241053 - isvavai.cz</a>
Result on the web
<a href="http://ece.mendelu.cz/wcd/w-rek-ece/ece2018_fin.pdf" target="_blank" >http://ece.mendelu.cz/wcd/w-rek-ece/ece2018_fin.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparison of trading systems based on technical analysis using real and random data
Original language description
With growing digitization, not only in the financial markets, technical indicators are more accessible to more and more traders. In addition, the ever-shortening investment horizon often leads to a shift away from fundamental analysis and emphasizes the use of technical analysis. Currently, there is still discussion on the effectiveness of technical analysis in contrast to the validity of effective market theory. While practitioners compose, most trading systems just based on technical indicators and price action, the academic community is increasingly inclined to the theory of random asset development. The aim of the paper is to analyse the differences the effectiveness of technical analysis indicators of real assets with the application of the same indicators to randomly generated values. The CFD derivatives are used for the application, namely currency pair, exchange index and cryptocurrency. Random values are then generated. The output of the article is to evaluate the performance of trading systems based on selected indicators of technical analysis by comparing real asset data and randomly generated data.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Enterprise and Competitive Environment : 21st annual international conference : conference proceedings : March 22-23, 2018, Mendel University in Brno, Czech Republic
ISBN
978-80-7509-561-9
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
310-320
Publisher name
Mendelova univerzita v Brně
Place of publication
Brno
Event location
Brno
Event date
Mar 22, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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