An Effective Time Series Analysis For Stock Market Prediction Using Machine Learning Techniques

Authors

  • Dr. Syed Naimatullah Hussain, Ms.Shruti Jalapur and Ms. Sumitha B S

Keywords:

Stock market, Supervised machine learning algorithm, Random forest Classification, training data, data set.

Abstract

Stock markets are very important in determining the country's economy, companies and other indirect factors affecting investors and the general public. It is therefore important to make right decisions at  right time in accordance with the prediction for the stock price in stock market for increase corporate income and promote economic growth. In this paper we try to guess the use of the Random Forest Classification machine learning algorithm which will be based on training data from various companies and predicts new class data set from an investment perspective.

Published

2023-03-14

How to Cite

Dr. Syed Naimatullah Hussain, Ms.Shruti Jalapur and Ms. Sumitha B S. (2023). An Effective Time Series Analysis For Stock Market Prediction Using Machine Learning Techniques. SJIS-P, 35(1), 235–244. Retrieved from http://sjis.scandinavian-iris.org/index.php/sjis/article/view/278

Issue

Section

Articles