Enhancing Stock Market Prediction: A Robust LSTM-DNN Model Analysis on 26 Real-Life Datasets

Enhancing Stock Market Prediction: A Robust LSTM-DNN Model Analysis on 26 Real-Life Datasets

Predicting the closing price of the stock market with accuracy is highly uncertain and volatile. Deep learning (DL) can analyze vast amounts of historical stock data to identify patterns and correlations, aiding in predictive modeling. By learning from past market behavior, deep learning algorithms...

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Bibliographic Details
Main Authors: Khorshed Alam, Mahbubul Haq Bhuiyan, Injamam Ul Haque, Md Fahad Monir, Tarem Ahmed
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Neural networks
regression model
stock market analysis
stock market prediction
LSTM
DNN
Online Access:https://ieeexplore.ieee.org/document/10613029/

Internet

https://ieeexplore.ieee.org/document/10613029/

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