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CNN-LSTM Model for Stock Prediction by Bharat is a document available to read on EtoBox.

The document presents a study on the CNN-LSTM Refined Model, which combines Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks to enhance stock market prediction accuracy. By leveraging AI and ML techniques, the model effectively captures complex market dynamics and demonstrates a high predictive performance with a Mean Absolute Percentage Error (MAPE) of 97.00%. This innovative approach aims to provide investors with valuable insights for informed decision-making in the volatile

Author

Bharat

Language

EN