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Original Article
New-Hybrid Soft Computing Model for Stock Market Predictions
Ranjan Kumar Ray1
Sonalika Nayak2
Jibendu Kumar Mantri3
Amiya Kumar Sahoo4
1 2 3 Department of Computer Application, MSCB University, Odisha, India. 4 Department of Computer Science and Engineering, DRIEMS, Cuttack, Odisha, India.
Published Online: January-April 2026
Pages: 48-53
Cite this article
No DOIReferences
1. Göçken, M., Özçalıcı, M., Boru, A. et al. Stock price prediction using hybrid soft computing models incorporating parameter tuning and input variable selection. Neural Computation& Applications 31, 577–592 (2019). https://doi.org/10.1007/s00521-017-3089-2.
2. Siddique M., Panda D., Das S., Mohapatra S. K., A Hybrid Forecasting Model For Stock Value Prediction Using Soft Computing Technique, International Journal of Pure and Applied Mathematics, Volume 117(19), pp 357-363(2017).
3. Doeksen B., Abraham A., Thomas J., Paprzycki M., Real Stock Trading Using Soft Computing Models, International Symposium on Information Technology: Coding and Computing (ITCC 2005), Volume 2, 4-6 April 2005, Las Vegas, Nevada, USA.
4. Veera Boonjing, and Sarun Intakosum, Artificial Neural Network and Genetic Algorithm Hybrid Intelligence for Predicting Thai Stock Price Index Trend, Applications of Computational Intelligence in Time Series, Volume 2016, Article ID 3045254, https://doi.org/10.1155/2016/3045254.
5. Mojtaba Sedighi, Hossein Jahangirnia, Mohsen Gharakhani, Saeed Farahani Fard, A Novel Hybrid Model for Stock Price Forecasting Based on Metaheuristics and Support Vector Machine, MDPI, May 2019.
6. Hiransha M, Gopalakrishnan E.A, Vijay Krishna Menonab, Soman K.P, NSE Stock Market Prediction Using Deep-Learning Models, International Conference on Computational Intelligence and Data Science (ICCIDS 2018).
7. Shailaja K P, Manjunath M, Prediction and Clustering Techniques used in the Development of Stock Forecasting Model, International Journal of Innovative Technology and Exploring Engineering (IJITEE), ISSN: 2278-3075, Volume-9 Issue-3, January 2020.
8. Binoy.B.Nair, V.P Mohandas, N. R. Sakthivel, A Decision Tree- Rough Set Hybrid System for Stock Market Trend Prediction, International Journal of Computer Applications (0975 – 8887) Volume 6– No.9, September 2010.
9. Partha Roy, Ramesh Kumar, Sanjay Sharma, A Survey on the Application of Hybrid Techniques for Stock Market Forecasting, Artificial Intelligent System and Machine Learning, Vol 6, No 1 (2014).
10. Pratiti Mishra,Sumanjit Das, Sumati Baral, An Efficient Model for Stock Price Prediction using Soft Computing Approach, International Journal of Trend in Research and Development, Volume 2(4), ISSN 2394-9333, pp 17-21.
2. Siddique M., Panda D., Das S., Mohapatra S. K., A Hybrid Forecasting Model For Stock Value Prediction Using Soft Computing Technique, International Journal of Pure and Applied Mathematics, Volume 117(19), pp 357-363(2017).
3. Doeksen B., Abraham A., Thomas J., Paprzycki M., Real Stock Trading Using Soft Computing Models, International Symposium on Information Technology: Coding and Computing (ITCC 2005), Volume 2, 4-6 April 2005, Las Vegas, Nevada, USA.
4. Veera Boonjing, and Sarun Intakosum, Artificial Neural Network and Genetic Algorithm Hybrid Intelligence for Predicting Thai Stock Price Index Trend, Applications of Computational Intelligence in Time Series, Volume 2016, Article ID 3045254, https://doi.org/10.1155/2016/3045254.
5. Mojtaba Sedighi, Hossein Jahangirnia, Mohsen Gharakhani, Saeed Farahani Fard, A Novel Hybrid Model for Stock Price Forecasting Based on Metaheuristics and Support Vector Machine, MDPI, May 2019.
6. Hiransha M, Gopalakrishnan E.A, Vijay Krishna Menonab, Soman K.P, NSE Stock Market Prediction Using Deep-Learning Models, International Conference on Computational Intelligence and Data Science (ICCIDS 2018).
7. Shailaja K P, Manjunath M, Prediction and Clustering Techniques used in the Development of Stock Forecasting Model, International Journal of Innovative Technology and Exploring Engineering (IJITEE), ISSN: 2278-3075, Volume-9 Issue-3, January 2020.
8. Binoy.B.Nair, V.P Mohandas, N. R. Sakthivel, A Decision Tree- Rough Set Hybrid System for Stock Market Trend Prediction, International Journal of Computer Applications (0975 – 8887) Volume 6– No.9, September 2010.
9. Partha Roy, Ramesh Kumar, Sanjay Sharma, A Survey on the Application of Hybrid Techniques for Stock Market Forecasting, Artificial Intelligent System and Machine Learning, Vol 6, No 1 (2014).
10. Pratiti Mishra,Sumanjit Das, Sumati Baral, An Efficient Model for Stock Price Prediction using Soft Computing Approach, International Journal of Trend in Research and Development, Volume 2(4), ISSN 2394-9333, pp 17-21.
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