SCRS Conference Proceedings on Intelligent Systems
A Review: Machine Learning for Stock Market
Authors: Mashfiqur Rahman and Mohammad Nurul Huda
Publishing Date: 25-04-2022
ISBN: 978-93-91842-08-6
Abstract
Financial markets are essential for a society's smooth operation. Because of its enormous financial impact, successfully anticipating stock market trends has long been a top priority for investors and scholars. Recently, a slew of studies have been undertaken for predicting stock market trends using deep learning algorithms, thanks to advances in deep learning algorithms, and their much-needed data and processing power. As a result, it's easy to get lost when looking for the correct references. We have summarized a few of the greatest papers in this area in this paper, which can serve as a guide for future researchers in the field.
Keywords
Stock Market, Deep Learning, Artificial Neural Network, Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), Convolutional Neural Network (CNN).
Cite as
Mashfiqur Rahman and Mohammad Nurul Huda, "A Review: Machine Learning for Stock Market", In: Raju Pal and Praveen Kumar Shukla (eds), SCRS Conference Proceedings on Intelligent Systems, SCRS, India, 2022, pp. 305-312. https://doi.org/10.52458/978-93-91842-08-6-30