A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price

Creating an intelligent system that can accurately predict stock price in a robust way has always been a subject of great interest for many investors and financial analysts. Predicting future trends of financial markets is more remarkable these days especially after the recent global financial crisi...

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Vydáno v:	Applied soft computing Ročník 29; s. 196 - 210
Hlavní autoři:	Hafezi, Reza, Shahrabi, Jamal, Hadavandi, Esmaeil
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.04.2015
Témata:	Artificial neural network Bat algorithm DAX stock price Fundamental analysis Multi-agent system Stock price prediction DAX stock price Bat algorithm Artificial neural network Multi-agent system Stock price prediction Fundamental analysis
ISSN:	1568-4946, 1872-9681
On-line přístup:	Získat plný text
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