Prediction of Stock Market Using Machine Learning

Prashant Kumar; Yash Sonawane; Dheeraj Gupta; Snehal Bopche; Shrikrishna Patil

Prediction of Stock Market Using Machine Learning

Author : Prashant Kumar, Yash Sonawane, Dheeraj Gupta, Snehal Bopche, Shrikrishna Patil Journa Name: INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH AND ENGINEERING TRENDS Country : India Volume: 10 issue: 3 Year: 2024 Views : 441

Abstract:

Stock Market is a method and technique through which people trade stocks of any listed company. A person can buy one or multiple shares of a company and sell it for a profit or loss depending on his prediction of the movement of the share price. While some people may think of it as gambling, with proper infrastructure and knowledge, the prediction can be perfected for achieving higher profits. With the revolution of data science, machine learning and artificial intelligence, this task has become easier. Predicting the trend and outcomes for any given dataset with a high degree of accuracy and speed is one of the most crucial problems in machine learning. Prior to the development of artificial intelligence and machine learning, statisticians would manually make predictions by plotting graphs and using mathematical models and procedures to identify patterns.