Predicting stock high price using forecast error with recurrent neural network

Predicting stock high price using forecast error with recurrent neural network

Stock price forecasting is an eye-catching research topic. In previous works, many researchers used a single method or combination of methods to make predictions. However, accurately predicting stock prices is very difficult. To improve the predicting precision, in this study, an innovative predicti...

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Bibliographic Details
Main Authors:	Bao Zhiguo, Wei Qing, Zhou Tingyu, Jiang Xin, Watanabe Takahiro
Format:	Article
Language:	English
Published:	Sciendo 2021-05-01
Series:	Applied Mathematics and Nonlinear Sciences
Subjects:	stock price prediction recurrent neural network long short-term memory network gated recurrent unit
Online Access:	https://doi.org/10.2478/amns.2021.2.00009

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