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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Bibliographic Details
Published inApplied soft computing Vol. 29; pp. 196 - 210
Main Authors Hafezi, Reza, Shahrabi, Jamal, Hadavandi, Esmaeil
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.04.2015
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