Analysis of Financial Market Using Soft Computing Techniques

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F19%3APU133515" target="_blank" >RIV/00216305:26510/19:PU133515 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Analysis of Financial Market Using Soft Computing Techniques
Original language description
Soft computing is part of artificial intelligence containing fuzzy logic and artificial neural networks. Soft computing based systems are able to extract relevant information from large data sets by discovering hidden patterns in the data. The combination of these two techniques can provide an intelligent system with more ability and flexibility. Financial markets are becoming increasingly complex and demanding to predict stock price movements due to their non-linear and dynamic nature. The present study combines fuzzy c-means clustering and a neural network to support investment decisions in the ETF in the US stock market. The proposed model is designed to help investors identify profitable opportunities in stock markets.
Czech name
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Czech description
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Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 16th International Scientific Conference
ISBN
978-80-210-9338-6
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
201-209
Publisher name
Masaryk University
Place of publication
Brno
Event location
Brno
Event date
Jun 24, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000503222600024

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