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Title: :  TITLE: Advanced Stock Market Prediction Using Hybrid GRU-LSTM Techniques
PaperId: :  25797
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 1 2025
DUI:    16.0415/IJARIIE-25797
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
K HemaSiddharth Institute of Engineering and Technology
Bathini MounikaSiddharth Institute of Engineering and Technology
Avula MouneshSiddharth Institute of Engineering and Technology
Chennam Santhosh ReddySiddharth Institute of Engineering and Technology
Challa Mohan BabuSiddharth Institute of Engineering and Technology

Abstract

Computer Science Engineering
Stock Market, ARIMA, LSTM, GRU, Regularized GRU-LSTM
The stock market is influenced by various factors like economic conditions, investor behavior, and global events, which cause frequent fluctuations in stock prices. This makes accurate predictions difficult because the market is highly unpredictable. As a result, forecasting stock prices becomes a challenging task. Existing models like ARIMA, LSTM, and GRU are widely used for stock price prediction. ARIMA is effective for linear data. LSTM and GRU are better at handling complex non-linear data that makes them more effective for stock market predictions. But these models are complex and time-consuming to implement and require significant computational resources. To address the challenges in existing methods, a new technique called Regularized GRU-LSTM is introduced. This method combines the strengths of both LSTM and GRU to improve performance. LSTM is a type of neural network that is used to remember important information over time, which makes it suitable for sequential data, and GRU is simple and faster while handling sequential data effectively. This model not only improves prediction accuracy but also reduces time complexity in processing stock time series data. This approach demonstrates superior performance compared to stand-alone GRU, LSTM, and ARIMA models, facilitating efficient and accurate short-term stock price forecasting and advancing the field of financial time series analysis.

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IJARIIE K Hema, Bathini Mounika, Avula Mounesh, Chennam Santhosh Reddy, and Challa Mohan Babu. "TITLE: Advanced Stock Market Prediction Using Hybrid GRU-LSTM Techniques" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 1 2025 Page 1236-1242
MLA K Hema, Bathini Mounika, Avula Mounesh, Chennam Santhosh Reddy, and Challa Mohan Babu. "TITLE: Advanced Stock Market Prediction Using Hybrid GRU-LSTM Techniques." International Journal Of Advance Research And Innovative Ideas In Education 11.1(2025) : 1236-1242.
APA K Hema, Bathini Mounika, Avula Mounesh, Chennam Santhosh Reddy, & Challa Mohan Babu. (2025). TITLE: Advanced Stock Market Prediction Using Hybrid GRU-LSTM Techniques. International Journal Of Advance Research And Innovative Ideas In Education, 11(1), 1236-1242.
Chicago K Hema, Bathini Mounika, Avula Mounesh, Chennam Santhosh Reddy, and Challa Mohan Babu. "TITLE: Advanced Stock Market Prediction Using Hybrid GRU-LSTM Techniques." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 1 (2025) : 1236-1242.
Oxford K Hema, Bathini Mounika, Avula Mounesh, Chennam Santhosh Reddy, and Challa Mohan Babu. 'TITLE: Advanced Stock Market Prediction Using Hybrid GRU-LSTM Techniques', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 1, 2025, p. 1236-1242. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/TITLE__Advanced_Stock_Market_Prediction__Using_Hybrid_GRU_LSTM_Techniques_ijariie25797.pdf (Accessed : ).
Harvard K Hema, Bathini Mounika, Avula Mounesh, Chennam Santhosh Reddy, and Challa Mohan Babu. (2025) 'TITLE: Advanced Stock Market Prediction Using Hybrid GRU-LSTM Techniques', International Journal Of Advance Research And Innovative Ideas In Education, 11(1), pp. 1236-1242IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/TITLE__Advanced_Stock_Market_Prediction__Using_Hybrid_GRU_LSTM_Techniques_ijariie25797.pdf (Accessed : )
IEEE K Hema, Bathini Mounika, Avula Mounesh, Chennam Santhosh Reddy, and Challa Mohan Babu, "TITLE: Advanced Stock Market Prediction Using Hybrid GRU-LSTM Techniques," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 1, pp. 1236-1242, Jan-Feb 2025. [Online]. Available: http://ijariie.com/AdminUploadPdf/TITLE__Advanced_Stock_Market_Prediction__Using_Hybrid_GRU_LSTM_Techniques_ijariie25797.pdf [Accessed : ].
Turabian K Hema, Bathini Mounika, Avula Mounesh, Chennam Santhosh Reddy, and Challa Mohan Babu. "TITLE: Advanced Stock Market Prediction Using Hybrid GRU-LSTM Techniques." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 1 ().
Vancouver K Hema, Bathini Mounika, Avula Mounesh, Chennam Santhosh Reddy, and Challa Mohan Babu. TITLE: Advanced Stock Market Prediction Using Hybrid GRU-LSTM Techniques. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(1) : 1236-1242. Available from: http://ijariie.com/AdminUploadPdf/TITLE__Advanced_Stock_Market_Prediction__Using_Hybrid_GRU_LSTM_Techniques_ijariie25797.pdf
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