An LSTM-Based Model for Stock Price Prediction

The endeavor to predict the future price of an organization's stock is referred to as stock market prediction. It is challenging to predict future trends accurately because the stock market is a dynamic system continually evolving. An impressive profit might be made by correctly predicting the price of a stock in the future. Understanding a company's stock price pattern and forecasting its future development and financial growth will be quite advantageous. The use of machine learning algorithms to forecast stock values has gained popularity in recent years. The objective of this research endeavor is to develop an artificially intelligent model capable of estimating a certain company's stock prices. The application of a sort of machine learning technique known as Long Short Term Memory, which is based on recurrent neural networks (RNNs), is the main topic of this study.