… a concise review of stock markets and taxonomy of stock market prediction methods. … survey
of supervised and unsupervised machine learning methods applied in stock market analysis …

… 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 …

… 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 …

… analysis performed in this study is to indicate the most important articles and journals about
financial market prediction using machine learning. … the most cited by those surveyed in the …

… 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 …

… 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 …

… , stock market analysis, smart city and many more. This paper focuses on the concepts of
deep learning, its … between the deep learning, classical machine learning and conventional …

… 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 …

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

… 8 it can be concluded that among the machine learning techniques considered in this study
series, the PCA-DNN classifiers with the proper number of hidden layers can achieve the …