LSTM ALGORITHM ANALYSIS OF BANKING SECTOR STOCK PRICE PREDICTIONS

Investing, buying or selling on the stock exchange demands data analytical expertise and skill. Because market is so dynamic, it takes modelling to predict prices accurately. Machine learning can currently process forecast with high accuracy. We proposed using Long-Short Term Memory (LSTM) algorithm model anticipate prices. This study's primary goal assess machine algorithm's accuracy in forecasting price optimal construction epochs. The RMSE value of LSTM method obtained variation epochs value.