A parallel hybrid neural networks model for forecasting returns with candlestick technical trading strategy-Reference-Cited by-同舟云学术

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A parallel hybrid neural networks model for forecasting returns with candlestick technical trading strategy

Published:2024-12 Issue: Volume:255 Page:124486
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Zhu Min^ORCID,Guo Yu^ORCID,Song Yuping^ORCID

Publisher

Elsevier BV

Reference58 articles.

1. New efficient hybrid candlestick technical analysis model for stock market timing on the basis of the support vector machine and heuristic algorithms of imperialist competition and genetic;Ahmadi;Expert Systems with Applications,2018

2. An empirical comparison of machine learning models for time series forecasting;Ahmed;Econometric Reviews,2010

3. Sectoral stock prediction using convolutional neural networks with candlestick patterns as input images;Andriyanto;International Journal of Emerging Trends in Engineering Research,2020

4. Improving forecasting accuracy for stock market data using emd-hw bagging;Awajan;PLoS One,2018

5. A comparison of adaboost algorithms for time series forecast combination;Barrow;International Journal of Forecasting,2016

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