STOCK PRICE PREDICTION

STOCK PRICE PREDICTION
Author(s):
PRAJIT PAUL, SAYAN BHATTACHARYA, RIMA DAWN, PIJUS PYKE, PARAMITA DAS, SOURAV KUMAR PANDEY, KOUSHIK CHAKRABORTY
Keywords:
future extraction, NIFTY value prediction, NSE share market, stock market, stock price prediction
Abstract
In Stock Market Prediction, the aim is to predict the future value of the financial stocks of a company. The recent trend in stock market prediction technologies is the use of machine learning which makes predictions based on the values of current stock market indices by training on their previous values. Machine learning itself employs different models to make prediction easier and authentic. The paper focuses on the use of Regression and LSTM based Machine learning to predict stock values. Factors considered are open, close, low, high and volume.
Article Details
Unique Paper ID: 155434 Publication Volume & Issue: Volume 9, Issue 1 Page(s): 833 - 837
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