Enhancing Stock Prediction Accuracy Using LSTM and Linear Regression

Abstract

Prediction of stock along with modelling is a challenging task as it is non-stationary and has a dynamic nature. The developmentof an accurate stock prediction mechanism can aid investor for takinga profitable decisions which will leads to profit and reduces the investment risks with the prediction this paper suggest certain significant method for improving the stock prediction accuracy two well-known algorithms were obtained namely linear regression and the Long Short Term Memory(LSTM).