A layered stock prediction model based on novel feature selection and model parameter optimization

• Published in: The Journal of supercomputing Vol. 81; no. 13
• Main Authors: Chen, Siying, Tang, Guoqiang
• Format: Journal Article
• Language: English
• Published: New York Springer US 20.08.2025; Springer Nature B.V
• Subjects: Ablation; Compilers; Complexity; Computer Science; Forecasting; Interpreters; Optimization; Parameters; Particle swarm optimization; Prediction models; Processor Architectures; Programming Languages; Redundancy; Securities markets; Stock exchanges; Feature selection; Parameter optimization; Particle swarm optimization; BIGRU

As one of the core subjects in the financial field, stock market forecasting has been attracting extensive attention from the academic and industry, and has promoted the development of many complex forecasting models. However, due to the inherent complexity and volatility of the stock market, existi...