Zeszyty Naukowe Uniwersytetu Szczecińskiego. Studia Informatica

Currently: Studia Informatica Pomerania

ISSN: 0867-1753     eISSN: 2300-410X    OAI    DOI: 10.18276/si.2015.36-03
CC BY-SA   Open Access 

Issue archive / ZN 863 SI nr 36
Metody ewolucyjne w analizie zmian kursu akcji spółek giełdowych
(Evolutionary methods for the analysis of changes in price of company stock exchange)

Authors: Grzegorz Wojarnik
Uniwersytet Szczeciński, Wydział Nauk Ekonomicznych i Zarządzania, Instytut Informatyki w Zarządzaniu
Keywords: genetic algorithms stock exchange technical analysis
Data publikacji całości:2015
Page range:12 (39-50)
Cited-by (Crossref) ?:

Abstract

Evolutionary methods are one of the paths of development of artificial intelligence, which is drawing from the theory of natural selection allows you to solve complex problems, that are difficult to solve using traditional methods econometric, statistical or operations research.One of the basic evolutionary methods are genetic algorithms that are repeatedly used to solve various problems associated with investing in the stock market. Therefore the aim of this article is to review the experience associated with the use of genetic algorithms in the analysis of the share price of listed and to present examples of achievements in this field.Simultaneously this article can be described as an attempt to present a class of problems in the area of the stock market that are most suitable for use evolutionary methods with particular emphasis on genetic algorithms.
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