PREDICTING STOCK MARKET PRICE USING DEEP LEARNING

The stock exchange refers to public business sectors that exist for the purpose of giving, purchasing, and selling stocks that trade over-the-counter or on a stock exchange. The financial market is where financial backers can transfer responsibility for investible resources. Stocks, also known as values, address partial proprietorship in an organization. A well-functioning financial exchange is considered essential to monetary events because it allows businesses to quickly access funds from the general public. As a result, a significant amount of money, whether in the form of liquid cash or a digital fund, is invested in various firm stock to increase earnings for various investors and shareholders. Stock price prediction is a difficult task that is simulated using machine learning to anticipate stock returns. The Long-Short-Term Memory (LSTM) Recurrent Neural Network, one of the most prominent deep learning models for stock market prediction, will be discussed in this paper.