STOCK MARKET PREDICTION USING LSTM RECURRENT NEURAL NETWORK









Abstract

Investors are paying close attention to the stock market. How to grasp the stock market's shifting regularity and predict stock price trends has always been a hot topic among investors and researchers. Many variables influence the growth and fall of stock values, including politics, the economy, society, and the market. The stock market's trend projection is directly related to profit acquisition for stock investors. The more precise the prognosis, the better it will be in avoiding dangers. For publicly traded corporations, the stock price is an important technical measure for corporate analysis and research, as well as a reflection of the company's operating conditions and future development aspirations. Stock forecasting research is very crucial in the industry.


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Algorithms


Software And Hardware