A Stock Trend Forecast Algorithm Based on Deep Neural Networks
As a recognized complex dynamic system, the stock market has many influencing factors, such as nonstationarity, nonlinearity, high noise, and long memory. It is difficult to explain it simply through mathematical models. Therefore, the analysis and prediction of the stock market have been a very cha...
Main Authors: | Yingying Yan, Daguang Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2021-01-01
|
Series: | Scientific Programming |
Online Access: | http://dx.doi.org/10.1155/2021/7510641 |
Similar Items
-
Stock Trend Prediction Algorithm Based on Deep Recurrent Neural Network
by: Ruochen Lu, et al.
Published: (2021-01-01) -
Forecast of stock trend by artificial neural network
by: Tse-lin Hsu, et al.
Published: (2012) -
Using Neural Networks in Technical Analysis for Stock Trend Forecast
by: Hsueh Chien-Hung, et al.
Published: (1998) -
A Performance Comparison of Neural Networks in Forecasting Stock Price Trend
by: Binghui Wu, et al.
Published: (2017-01-01) -
Forecasting the Direction of Stock Market Index Movement Base on Deep Neural Network
by: Huang,Kun-Feng, et al.
Published: (2018)