Analysis of Financial Market Using Soft Computing Techniques
Analysis of Financial Market Using Soft Computing Techniques

Author(s): Zuzana Janková, Petr Dostál
Subject(s): Financial Markets, ICT Information and Communications Technologies
Published by: Masarykova univerzita nakladatelství
Keywords: artificial intelligence; financial market; fuzzy logic; soft computing techniques;
Summary/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.

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