A Novel Hybrid Model for Stock Price Forecasting Based on Metaheuristics and Support Vector Machine
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Cited by:
- Hitesh Punjabi & Kumar Chandar S., 2021. "Efficient Prediction of Stock Price Using Artificial Neural Network Optimized Using Biogeography-Based Optimization Algorithm," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global, vol. 17(7), pages 1-14, November.
- Yugo Fujimoto & Kei Nakagawa & Kentaro Imajo & Kentaro Minami, 2022. "Uncertainty Aware Trader-Company Method: Interpretable Stock Price Prediction Capturing Uncertainty," Papers 2210.17030, arXiv.org, revised Nov 2022.
- Satya Verma & Satya Prakash Sahu & Tirath Prasad Sahu, 2024. "Two-Stage Hybrid Feature Selection Approach Using Levy’s Flight Based Chicken Swarm Optimization for Stock Market Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 63(6), pages 2193-2224, June.
- Jasleen Kaur & Khushdeep Dharni, 2022. "Application and performance of data mining techniques in stock market: A review," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(4), pages 219-241, October.
- Srivinay & B. C. Manujakshi & Mohan Govindsa Kabadi & Nagaraj Naik, 2022. "A Hybrid Stock Price Prediction Model Based on PRE and Deep Neural Network," Data, MDPI, vol. 7(5), pages 1-11, April.
- Fateme Shahabi Nejad & Mohammad Mehdi Ebadzadeh, 2023. "Stock market forecasting using DRAGAN and feature matching," Papers 2301.05693, arXiv.org.
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Keywords
stock price forecasting; multi-objective optimization; technical indicators; ABC; ANFIS; SVM;All these keywords.
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