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A neural network with a case based dynamic window for stock trading prediction
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“Due to their ability to recognize patterns in nonlinear, dynamic time series data (Chang et al., 2009; Lee, 2009; Żbikowski, 2015), these methods are especially popular in financial market forecasting.”
From Bridging the divide in financial market forecasting: machine learners vs. financial economists (2016) · cites this paper as Chang et al., 2009
In the citing paper
“Some studies also identify opportunities to trade profitably on model predictions (Chang et al., 2009; de Oliveira et al., 2013; Doeksen, Abraham, Thomas, & Paprzycki, 2005; C.-J. Huang et al., 2008; Huck, 2010; Kara, Acar Boyacioglu, & Baykan, 2011; Schumaker & Chen, 2009).”
From Bridging the divide in financial market forecasting: machine learners vs. financial economists (2016) · cites this paper as Chang et al., 2009
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Metadata
- Authors
- Chang, P.-C., Liu, C.-H., Lin, J.-L., Fan, C.-Y., & Ng, C. S. P.
- Affiliations
- Yuan Ze University (TW)
- Kainan University (TW)
- Corresponding author
- Chang, Pei-Chann
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2009-04
- Volume
- 36
- Issue
- 3
- Pages
- 6889-6898
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2046346480
- Cited by
- 160
- References
- 30
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 4 · 2023: 6 · 2022: 3 · 2021: 13 · 2020: 7 · 2019: 10 · 2018: 7 · 2017: 9 · 2016: 8 · 2015: 10 · 2014: 21 · 2013: 11 · 2012: 10
- FWCI
- 17.97
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Expert Systems with Applications (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Stock Market Forecasting Methods
- Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
- Keywords
- stock price prediction, case-based reasoning, dynamic time window, artificial neural networks, BP neural network, stock selection
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