计算机与数字工程2026，Vol.54Issue(3)：640-645,685,7.DOI:10.3969/j.issn.1672-9722.2026.03.010
基于AAL模型的股票趋势研究
Research on Stock Price Trend Analysis Based on AAL Model
摘要
Abstract
In order to effectively predict the trend of the stock price,the autoregressive integral moving average model(ARI-MA),attention mechanism(Attention),and long-term and short-term memory neural network(LSTM)are combined(i.e.AAL)to predict the future trend of the stock price.First,the stock is predicted by ARIMA model and the residual between the predicted value and the real value is obtained.Then the Attention-LSTM model is trained by the residual value.Finally,the predicted stock price of ARIMA and the residual predicted by Attention-LSTM are combined as the final predicted stock price.The results show that the prediction result of ARIMA-Attention-LSTM is significantly better than that of the independent model,which shows that the method is feasible and effective in predicting stock prices.关键词
股价预测/注意力机制/ARIMA/LSTM/融合模型Key words
stock price forecast/Attention mechanism/ARIMA/LSTM/fusion model分类
信息技术与安全科学引用本文复制引用
张训韬,范永胜..基于AAL模型的股票趋势研究[J].计算机与数字工程,2026,54(3):640-645,685,7.基金项目
重庆师范大学(人才引进/博士启动)基金项目(编号:17XCB008) （人才引进/博士启动）
教育部人文社会科学研究项目(编号:18XJC880002)资助. （编号:18XJC880002）
