SCRS Conference Proceedings on Intelligent Systems
Prediction of Stock Market prices using Machine Learning
Authors: Radhika Sreedharan and Archana Praveen Kumar
Publishing Date: 25-04-2022
ISBN: 978-93-91842-08-6
Abstract
Stock prices prediction for the stock exchanges has become a very challenging task. Then aim of this project is explore variegated machine learning algorithms for computing stock prices for variegated stock listings belonging to certain stock exchanges. To some extent, it can be predicted whether the stock prices will increase or decrease depending on variances of parameters. The data for stock prediction was taken from history_60d data set where it has various stock listings belonging to NYSE, AMEX and NASDAQ. Certain stock listings of those stock exchanges are considered to predict stock prices for them.
Keywords
Stock price, prediction, machine learning, linear regression
Cite as
Radhika Sreedharan and Archana Praveen Kumar, "Prediction of Stock Market prices using Machine Learning", In: Raju Pal and Praveen Kumar Shukla (eds), SCRS Conference Proceedings on Intelligent Systems, SCRS, India, 2022, pp. 339-347. https://doi.org/10.52458/978-93-91842-08-6-34