Novel online portfolio selection algorithm using deep sequence features and reversal information
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Published:2024-12
Issue:
Volume:255
Page:124565
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ISSN:0957-4174
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Container-title:Expert Systems with Applications
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language:en
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Short-container-title:Expert Systems with Applications
Author:
Dai Hong-LiangORCID,
Lai Fei-Tong,
Huang Cui-Yin,
Lv Xiao-Ting,
Zaidi Fatima SeharORCID
Reference65 articles.
1. Agarwal, A., Hazan, E., Kale, S., & Schapire, R. E. (2006). Algorithms for portfolio management based on the newton method. In Proceedings of the 23rd international conference on machine learning (pp. 9–16).
2. Fast universalization of investment strategies;Akcoglu;SIAM Journal on Computing,2004
3. Deep machine learning-a new frontier in artificial intelligence research [research frontier];Arel;IEEE Computational Intelligence Magazine,2010
4. Surveying stock market forecasting techniques–Part II: Soft computing methods;Atsalakis;Expert Systems with Applications,2009
5. A deep learning framework for financial time series using stacked autoencoders and long-short term memory;Bao;PLoS One,2017