Open AccessPrediction of Stock Price using RNN’s LSTM-Based Deep Learning Model
Author(s) -
Asmita Pandey
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.37791
Subject(s) - stock market , computer science , recurrent neural network , stock market prediction , stock exchange , long short term memory , artificial intelligence , stock (firearms) , time series , stock price , machine learning , artificial neural network , predictive modelling , deep learning , econometrics , series (stratigraphy) , finance , economics , mechanical engineering , paleontology , horse , engineering , biology
Stock Market is referred to as a trading platform where trading of listed companies share price is exchanged. It is a place where individuals can buy or sell shares of the publicly listed companies. The prediction of stock market that how it will perform, its movement is one of the challenging tasks to do. Stock market prediction involves determining the future movement of the stock value of a financial exchange. In this paper the prediction of the stock prices using deep learning's LSTM (Long Short-Term Memory) which is the extension of Recurrent Neural Network is done. The previous two years historical dataset from 31/7/2019 to 13/8/2021 is taken for the prediction purpose. The prediction is based on the time series analysis of data, since it can help us to get an idea of the stock price pattern and also it is considered to be the best tool for understanding the pattern of the previously observed values and make the predictions based on it. For a greater accuracy of the predictions, we should consider past happenings or events as the past affects the future. Since for stock market prediction the data will be in time series and LSTM performs well when the information or the data is of the past and the prediction is to be made for the future then we can say that LSTMs are quite capable of doing the prediction for the stock market values. Keywords: Stock Market, prediction, LSTM, Recurrent Neural Network, time series analysis