期刊名称：International Journal of Early Childhood Special Education
电子版ISSN：1308-5581
出版年度：2022
卷号：14
期号：2
页码：6048-6055
DOI：10.9756/INT-JECSE/V14I2.687
语种：English
出版社：International Journal of Early Childhood Special Education
摘要：Using deep learning to make predictions about stock market prices and trends has never been more popular than it is now, thanks to the advent of big data. Two years of data from China's stock market were analysed in order to develop an algorithm for predicting stock market trends using feature engineering and deep learning. Preprocessing of the stock market dataset, use of several feature engineering techniques, and a tailored deep learning-based system for stock market price trend prediction make up the full solution given here. As a result of our in-depth testing of commonly used machine learning models, we believe that our proposed approach surpasses them all. Overall, the approach has a high degree of accuracy in predicting stock market trends. This work adds to the stock analysis research community in both the financial and technical areas by designing and evaluating prediction term lengths, feature engineering, and data preprocessing approaches in depth.
关键词：Using deep learning to make predictions about stock market prices and trends has never been more popular than it is now;thanks to the advent of big data
