Stock Market Forecasting Using Deep Learning and Technical Analysis: A Systematic Review

作者: Audeliano Wolian Li , Guilherme Sousa Bastos

DOI: 10.1109/ACCESS.2020.3030226

关键词:

摘要: … As Deep Learning models have been extensively studied in recent years, several studies … Therefore, this systematic review focuses on Deep Learning models implemented for stock …

参考文章(60)
Pei-Chann Chang, Di-di Wang, Chang-le Zhou, A novel model by evolving partially connected neural network for stock price trend forecasting Expert Systems With Applications. ,vol. 39, pp. 611- 620 ,(2012) , 10.1016/J.ESWA.2011.07.051
D. A. Kumar, S. Murugan, Performance analysis of Indian stock market index using neural network time series model international conference on pattern recognition. pp. 72- 78 ,(2013) , 10.1109/ICPRIME.2013.6496450
George S. Atsalakis, Kimon P. Valavanis, Surveying stock market forecasting techniques - Part II: Soft computing methods Expert Systems With Applications. ,vol. 36, pp. 5932- 5941 ,(2009) , 10.1016/J.ESWA.2008.07.006
Lamartine Almeida Teixeira, Adriano Lorena Inácio de Oliveira, A method for automatic stock trading combining technical analysis and nearest neighbor classification Expert Systems with Applications. ,vol. 37, pp. 6885- 6890 ,(2010) , 10.1016/J.ESWA.2010.03.033
Erik Cambria, Bebo White, Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article] IEEE Computational Intelligence Magazine. ,vol. 9, pp. 48- 57 ,(2014) , 10.1109/MCI.2014.2307227
Jonathan L. Ticknor, A Bayesian regularized artificial neural network for stock market forecasting Expert Systems With Applications. ,vol. 40, pp. 5501- 5506 ,(2013) , 10.1016/J.ESWA.2013.04.013
Bruce Vanstone, Gavin Finnie, An empirical methodology for developing stockmarket trading systems using artificial neural networks Expert Systems With Applications. ,vol. 36, pp. 6668- 6680 ,(2009) , 10.1016/J.ESWA.2008.08.019