Stock Price Trend Analysis and Prediction of Closing Price Using LSTM

One of the most challenging jobs in the realm of computing is stock market forecasting. The forecast is influenced by a wide range of variables, including physiological vs. physical elements, rational vs. illogical conduct, investor attitude, market rumors, etc. All of these factors come align to make stock values unpredictable and exceedingly challenging to forecast accurately. ML approaches have the power to disclose patterns and insights that we hadn’t previously seen, and they can be leveraged to produce forecasts that are incredibly accurate. We offer a framework to examine and forecast a company’s future growth utilizing the LSTM (Long Short-Term Memory) model and the net growth calculation technique for businesses. Using variables like the opening price, closing price, andtrade low, this may be anticipated.