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Predicting Stock Trends using Convolutional Neural Networks and Multi-indicator Feature Engineering.

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Title: Predicting Stock Trends using Convolutional Neural Networks and Multi-indicator Feature Engineering.
Authors: Li, Wenbo1, B23092100108@cityu.edu.cn, Zhang, Long1,2, zhangl@cugb.edu.cn, Zhang, Xiangmin2, 51718642@qq.com
Source: International Journal of Computers, Communications & Control; Oct2025, Vol. 20 Issue 5, p1-20, 20p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188533076
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Predicting Stock Trends using Convolutional Neural Networks and Multi-indicator Feature Engineering.
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  Data: <searchLink fieldCode="AU" term="%22Li%2C+Wenbo%22">Li, Wenbo</searchLink><relatesTo>1</relatesTo>, <i>B23092100108@cityu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Long%22">Zhang, Long</searchLink><relatesTo>1,2</relatesTo>, <i>zhangl@cugb.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Xiangmin%22">Zhang, Xiangmin</searchLink><relatesTo>2</relatesTo>, <i>51718642@qq.com</i>
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.15837/ijccc.2025.5.6774
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 1
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      – TitleFull: Predicting Stock Trends using Convolutional Neural Networks and Multi-indicator Feature Engineering.
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            NameFull: Li, Wenbo
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            NameFull: Zhang, Long
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            – D: 01
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              Text: Oct2025
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              Y: 2025
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              Value: 20
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              Value: 5
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            – TitleFull: International Journal of Computers, Communications & Control
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