STOCK PRICE PREDICTION USING MACHINE LEARNING AND DEEP LEARNING

International Journal of Innovative Research in Technology

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

STOCK PRICE PREDICTION USING MACHINE LEARNING AND DEEP LEARNING
Author(s):
SRIVISHNU NARAYANAN, Dr. Kayalvizhi Nagarajan
Keywords:
Artificial intelligence, machine learning, Data analyzing, deep learning, linear regression
Abstract
Predicting how the stock market will perform is one of the most difficult things to do. There are so many factors involved in the prediction – physical factors vs. physhological, rational and irrational behaviour, etc. All these aspects combine to make share prices volatile and very difficult to predict with a high degree of accuracy. Can we usemachine learningas a game changer in this domain? Using features like the latest announcements about an organization, their quarterly revenue results, etc., machine learning techniques have the potential to unearth patterns and insights we didn’t see before, and these can be used to make unerringly accurate predictions.
Article Details
Unique Paper ID: 151310 Publication Volume & Issue: Volume 7, Issue 12 Page(s): 407 - 411
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