… review, we investigate machine learning techniques that are applied for stock market …
Moreover, through a short bibliographic analysis, this study also aimed to gain an understanding of …

… market sentiment. Therefore, this paper discusses the application … deep learning in both
Forex and the stock market and explores the impact of different deep learning methods on price …

… motivation for this survey is to give a latest review of recent works on deep … of stock market,
however, machine learning and deep learning methods have been applied in many financial …

… intelligence in finance has been a very popular topic for both academia and financial …
Meanwhile, within the Machine Learning (ML) field, Deep Learning (DL) started getting a lot …

… the survey of financial research works in stock market data … based on machine learning
techniques, in this work, we will compare our approach with the outperformed machine learning …

… This study aims to significantly reduce the risk of trend prediction with … study was the
prediction task of stock market movement by machine learning and deep learning algorithms. Four …

… study aims to fill this gap by providing an updated systematic review of the forecasting
techniques used in the stock market… of the works survey most of the relevant machine learning …

… This study concentrates on the process of future value prediction for … This study aims to
make a short run prediction for the emerging Iranian stock market and employ data from …

… In this study, we build on the work of Gu et al. (2020) who combine a broad repertoire of …
Based on the above subsample analysis, we conclude that machine learning techniques, …

… machine learning algorithms for stock market prediction. … this study confirms the high
percentage of stock market predictions … machine learning algorithm for building predictive models …