Open AccessFuture Stock Market Prediction Using Machine Learning
Author(s) -
Raghavendra Likhite,
Gowardhan Mahajan,
Samadhan Padulkar,
Suraj Kakani,
Pallavi . T. Suradkar
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-1066
Subject(s) - stock (firearms) , stock market , support vector machine , stock market prediction , econometrics , stock price , computer science , machine learning , financial economics , economics , artificial intelligence , engineering , mechanical engineering , paleontology , horse , series (stratigraphy) , biology
Stock market prediction using machine learning is highly effective to predict the future prices of the stock with minimum investment. This paper proposes the system that will predict the future prices of the stock of different companies this prediction will help a investor to take decisions to maximize profits. This paper shows that by using different techniques like support vector, LSTM, linear regression future prices of the stock can be effectively predicted.