Stock Price Prediction Problem Using Artificial Intelligence

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F19%3APU133293" target="_blank" >RIV/00216305:26510/19:PU133293 - 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
Stock Price Prediction Problem Using Artificial Intelligence
Original language description
The presented paper deals with the application of artificial neural network and fuzzy logic for prediction of stock index price. 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 adaptive neuro-fuzzy inference system (ANFIS)model is trained and tested for the PX stock index listed on the Czech Stock Exchange. The stock index is forecast based on historical returns for the period 2010 to 2018. 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
Knowledge on Economics and Management:Profit or Purpose
ISBN
978-80-244-5543-3
ISSN
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e-ISSN
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Number of pages
289
Pages from-to
56-62
Publisher name
Palacký University Olomouc
Place of publication
Olomouc, Czech Republic
Event location
Olomouc
Event date
Sep 7, 2017
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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