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What is LSTM-Based Stock Price Forecasting about?

The study presents a deep learning approach using Long Short-Term Memory (LSTM) neural networks for stock price forecasting, integrating multivariate time series data to enhance prediction accuracy. The model demonstrated high performance with a Mean Absolute Error (MAE) of 0.0142 on test data, although future predictions indicated higher MAE values, suggesting areas for improvement. This research aims to provide insights for investors by improving stock price prediction methodologies in complex and fluctua

Author

Harpiani Arifin

Language

EN