Stock closing price prediction method

• Main Authors: TAN HAORAN, HAN YING, WANG LEHAO, BI HUI, SUN KAIQIANG, ZHANG DONG
• Format: Patent
• Language: Chinese; English
• Published: 24.12.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a stock closing price prediction method, and relates to the technical field of deep learning and stock prediction. According to the stock closing price prediction method, stock closing price data is input into a constructed stock closing price prediction model, and a prediction result of the stock closing price is output. The stock closing price prediction model comprises a complementary set empirical mode decomposition module, a gating circulation unit module, a full connection layer and width learning which are connected in sequence. The stock closing price prediction method improves the prediction precision of the stock closing price. 本发明公开了一种股票收盘价预测方法，涉及深度学习和股票预测技术领域。该股票收盘价预测方法将股票收盘价数据输入构建的股票收盘价预测模型中输出股票收盘价的预测结果。该股票收盘价预测模型包括依次连接的互补集合经验模态分解模块、门控循环单元模块、全连接层、宽度学习。该股票收盘价预测方法提高了股票收盘价的预测精度。