Stock Price Prediction Using CNN-BiLSTM-Attention Model

Stock Price Prediction Using CNN-BiLSTM-Attention Model

Accurate stock price prediction has an important role in stock investment. Because stock price data are characterized by high frequency, nonlinearity, and long memory, predicting stock prices precisely is challenging. Various forecasting methods have been proposed, from classical time series methods...

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Bibliographic Details
Main Authors:	Jilin Zhang, Lishi Ye, Yongzeng Lai
Format:	Article
Language:	English
Published:	MDPI AG 2023-04-01
Series:	Mathematics
Subjects:	stock price prediction deep learning CNN BiLSTM attention mechanism
Online Access:	https://www.mdpi.com/2227-7390/11/9/1985

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