A new time series forecasting model, PMANet, outperformed other methods in predicting Chinese stock prices

From Google: 2024-08-07 12:02:51

A new study introduces PMANet, a time series forecasting model designed for predicting Chinese stock prices. The model outperformed other forecasting methods, achieving an accuracy rate of 60.13%. PMANet uses a combination of deep learning and traditional time series analysis techniques to provide accurate predictions for stock prices.



Read more at Google: PMANet a time series forecasting model for Chinese stock price prediction – Nature.com