NSE STOCK MARKET PREDICTION USING DEEP-LEARNING ON INTERIM FINANCIAL STATEMENTS

  • SHIKHAR MAHESHWARI
Keywords: No Keywords

Abstract

A neural network is an intelligent data mining techniquethat specializes in finding patterns through humungous datasets. Prediction of the stock market is a key instrument in today’s economy. There are various algorithms used to forecast the financial markets which can be categorized into linear and non-linear models. There have been many previous attempts to use daily market data (Open price, close price, volume, turnover, volatility ) and feed them into a deep learning model to predict the movement of the price of a stock which has attained varying degrees of success. In this paper, we are using Deep neural networks and feeding them data from interim financial statements to predict the quarter-wise movement of the price of a stock. The network was trained on data from companies listed in NSE. the Interim financial results data was taken from CIME ProwessIQ.

Published
2021-08-18
How to Cite
SHIKHAR MAHESHWARI. (2021). NSE STOCK MARKET PREDICTION USING DEEP-LEARNING ON INTERIM FINANCIAL STATEMENTS. Design Engineering, 9229- 9239. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/3494
Section
Articles