STOCK MARKET PREDICTION USING LSTM

Authors

  • Dr. Rakesh Kumar B, Sheetal U R, Shravya, Sneha

DOI:

#10.25215/8119070771.13

Keywords:

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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Published

2023-07-07

How to Cite

Dr. Rakesh Kumar B, Sheetal U R, Shravya, Sneha. (2023). STOCK MARKET PREDICTION USING LSTM. Redshine Archive, 6(3). https://doi.org/10.25215/8119070771.13