STOCK MARKET PREDICTION USING LSTM
DOI:
#10.25215/8119070771.13Keywords:
Machine Learning, LSTM, Big Data, Stock Market Prediction, and Social Media Analytics.Abstract
Predicting the future value of a company's stocks is the goal of stock market forecasting. Among the most pressing issues in the share market right is now predicting stock prices. The Integrated Prices of the National Association of Securities Dealers which offer a price of the stock for Microsoft Corporation (MSFT), will be examined in this (NASDAQ). The Opening Value, Highest and Lowest the values of company for each date. We'll use the Long Short-Term Memory technique to predict the stock value of Microsoft Corporation. They are used to alter the data in relatively small ways by multiplying and adding. RNN architecture for deep learning what long-term memory (LSTM). As an alternative to conventional feed-forward neural networks, the LSTM uses feedback connections. Both whole to as and particular data points can be handled by it (like photos).
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Copyright (c) 2023 Dr. Rakesh Kumar B, Sheetal U R, Shravya, Sneha

This work is licensed under a Creative Commons Attribution 4.0 International License.