Open AccessStock Prediction Analysis by using Linear Regression Machine Learning Algorithm
Author(s) -
Sankranti Srinivasa Rao*
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.d1110.029420
Subject(s) - stock market , stock (firearms) , python (programming language) , stock market prediction , computer science , machine learning , artificial intelligence , econometrics , regression analysis , algorithm , economics , engineering , programming language , mechanical engineering , paleontology , horse , biology
Stock market is varying day to day. Many factors such as government policies, industry performance, market sentiment etc are the main cause of up and downs in stock market. To invest money in stock market, study and analysis of stock market is essential. This type of analysis can be done by using Machine learning algorithms. The main objective of this paper is to predict the stock market future values by using linear regression machine learn algorithms based on past values. The methodology is developed and implemented in python on APPLE and TSLA stock.