This study uses historical analysis of stock prices in a company, and ID Convolutional Neural Network (CNN) and LSTM along with Bi-LSTM and Vanilla LSTM to predict stock values from historical stock prices. The feature identified is the closing price with movement. Prediction of CNN predicted the RMSE score of 0.97, 1.51 for Vanilla LSTM, 2.79 for Bi-LSTM, and 2.79 for LSTM respectively. Therefore, as per the RMSE score, the scheme depicts that 1D CNN is much more effective and deemed fit for stock price forecasting or prediction.
