CNN-BiLSTM-Attention Algorithm-Based Stock Prices Prediction During COVID-19

Xiaoshuai Wang

doi:10.2991/978-94-6463-512-6_47

ScienceGate Book Chapters

BOOK-CHAPTER

CNN-BiLSTM-Attention Algorithm-Based Stock Prices Prediction During COVID-19

Xiaoshuai Wang

Year: 2024 Advances in intelligent systems research/Advances in Intelligent Systems Research Pages: 441-452 Publisher: Atlantis Press

DOI: 10.2991/978-94-6463-512-6_47

Get Full-Text PDF Get Analytical Report

Keywords:

Coronavirus disease 2019 (COVID-19) Stock (firearms) Computer science Artificial intelligence Algorithm Geography Medicine Internal medicine Infectious disease (medical specialty)

Metrics

Cited By

4.98

FWCI (Field Weighted Citation Impact)

Refs

0.93

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Stock Market Forecasting Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

CNN-BiLSTM-Attention Algorithm-Based Stock Prices Prediction During COVID-19

Metrics

Citation History

Topics

Related Documents

Stock Index Prediction Based on CNN-BiLSTM-Attention

Stock Price Prediction Using CNN-BiLSTM-Attention Model

Long-term stock correlation prediction based on CNN-BiLSTM-Attention models

CNN-BiLSTM-Attention Based Stock Price Prediction and Quantitative Investment Strategy

A Stock Prediction Model Based on CNN-BiLSTM and Multiple Attention Mechanisms