Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies-Reference-Cited by-同舟云学术

Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies

Published:2017-10 Issue: Volume:83 Page:187-205
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Chong Eunsuk,Han Chulwoo,Park Frank C.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference78 articles.

1. Comparison of arima and artificial neural networks models for stock price prediction;Adebiyi;Journal of Applied Mathematics,2014

2. State-of-the-art in stock prediction techniques;Agrawal;International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering,2013

3. Stock return predictability: Is it there?;Ang;Review of Financial studies,2007

4. High-frequency trading strategy based on deep neural networks;Arévalo,2016

5. A hybrid genetic-neural architecture for stock indexes forecasting;Armano;Information Sciences,2005

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