Prediction of Stock Price Direction Combining Volatility Indicators with Machine Learning Algorithms

Author:

Bilal AzdineORCID,Ifleh AbdelhadiORCID,El Kabbouri Mounime

Publisher

Springer Nature Switzerland

Reference17 articles.

1. Khaidem, L., Saha, S., Dey, S.R.: Predicting the direction of stock market prices using random forest (2016)

2. Alonso-Monsalve, S., Suárez-Cetrulo, A.L., Cervantes, A., Quintana, D.: Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators. Expert Syst. Appl. 149, 113250 (2020)

3. Murphy, J.J.: Technical analysis of the financial markets. New York Institute of Finance (1999)

4. Agrawal, M., Khan, A.U., Shukla, P.K.: Stock price prediction using technical indicators: a predictive model using optimal deep learning. Int. J. Recent Technol. Eng. (IJRTE), vol. 8(2) (2019). ISSN: 2277–3878

5. Sezer, O.B., Ozbayoglu, M., Dogdu, E.: A deep neural-network based stock trading system based on evolutionary optimized technical analysis parameters. In: Complex Adaptive Systems Conference with Theme: Engineering Cyber Physical Systems, CAS 30 October–1 November 1, 2017, Chicago, Illinois, USA (2017)

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