Publication detail

Analysis of Financial Market Using Soft Computing Techniques

JANKOVÁ, Z. DOSTÁL, P.

Original Title

Analysis of Financial Market Using Soft Computing Techniques

Type

conference paper

Language

English

Original Abstract

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.

Keywords

artificial intelligence; financial market; fuzzy logic; soft computing techniques

Authors

JANKOVÁ, Z.; DOSTÁL, P.

Released

26. 6. 2019

Publisher

Masaryk University

Location

Brno

ISBN

978-80-210-9338-6

Book

Proceedings of the 16th International Scientific Conference

Edition

1

Pages from

201

Pages to

209

Pages count

9

BibTex

@inproceedings{BUT159003,
  author="Zuzana {Janková} and Petr {Dostál}",
  title="Analysis of Financial Market Using Soft Computing Techniques",
  booktitle="Proceedings of the 16th International Scientific Conference",
  year="2019",
  series="1",
  pages="201--209",
  publisher="Masaryk University",
  address="Brno",
  isbn="978-80-210-9338-6"
}