Stock market trading rule discovery using two-layer bias decision tree

Expert Systems with Applications ◽

10.1016/j.eswa.2005.07.006 ◽

2006 ◽

Vol 30 (4) ◽

pp. 605-611 ◽

Author(s):

J WANG ◽

S CHAN

Keyword(s):

Stock Market ◽

Decision Tree ◽

Rule Discovery ◽

Trading Rule ◽

Stock Market Trading

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Stock market trading rule discovery using pattern recognition and technical analysis

Expert Systems with Applications ◽

10.1016/j.eswa.2006.05.002 ◽

2007 ◽

Vol 33 (2) ◽

pp. 304-315 ◽

Author(s):

Jar-Long Wang ◽

Shu-Hui Chan

Keyword(s):

Pattern Recognition ◽

Stock Market ◽

Technical Analysis ◽

Rule Discovery ◽

Trading Rule ◽

Stock Market Trading

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Stock market trading rule discovery using technical charting heuristics

Expert Systems with Applications ◽

10.1016/s0957-4174(02)00034-9 ◽

2002 ◽

Vol 23 (2) ◽

pp. 155-159 ◽

Author(s):

William Leigh ◽

Naval Modani ◽

Russell Purvis ◽

Tom Roberts

Keyword(s):

Stock Market ◽

Rule Discovery ◽

Trading Rule ◽

Stock Market Trading

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Parallel Evolutionary Algorithms for Stock Market Trading Rule Selection on Many-Core Graphics Processors

Natural Computing in Computational Finance - Studies in Computational Intelligence ◽

10.1007/978-3-642-23336-4_5 ◽

2011 ◽

pp. 79-92 ◽

Author(s):

Piotr Lipinski

Keyword(s):

Stock Market ◽

Evolutionary Algorithms ◽

Trading Rule ◽

Graphics Processors ◽

Rule Selection ◽

Parallel Evolutionary Algorithms ◽

Many Core ◽

Stock Market Trading

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Empirical study of trading rule discovery in China stock market

Expert Systems with Applications ◽

10.1016/j.eswa.2004.12.014 ◽

2005 ◽

Vol 28 (3) ◽

pp. 531-535 ◽

Author(s):

Luo Bo ◽

Sun Linyan ◽

Richard Mweene

Keyword(s):

Stock Market ◽

Empirical Study ◽

Rule Discovery ◽

Trading Rule ◽

China Stock Market

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Stock market trading rule based on pattern recognition and technical analysis: Forecasting the DJIA index with intraday data

Expert Systems with Applications ◽

10.1016/j.eswa.2015.03.017 ◽

2015 ◽

Vol 42 (14) ◽

pp. 5963-5975 ◽

Author(s):

Roberto Cervelló-Royo ◽

Francisco Guijarro ◽

Karolina Michniuk

Keyword(s):

Pattern Recognition ◽

Stock Market ◽

Technical Analysis ◽

Trading Rule ◽

Intraday Data ◽

Stock Market Trading

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Trading rule discovery in the US stock market: An empirical study

Expert Systems with Applications ◽

10.1016/j.eswa.2008.06.119 ◽

2009 ◽

Vol 36 (3) ◽

pp. 5450-5455 ◽

Author(s):

Jar-Long Wang ◽

Shu-Hui Chan

Keyword(s):

Stock Market ◽

Empirical Study ◽

Rule Discovery ◽

Trading Rule ◽

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Artificial Intelligence Applied to Stock Market Trading: A Review

IEEE Access ◽

10.1109/access.2021.3058133 ◽

2021 ◽

Vol 9 ◽

pp. 30898-30917 ◽

Author(s):

Fernando G. D. C. Ferreira ◽

Amir H. Gandomi ◽

Rodrigo T. N. Cardoso

Keyword(s):

Artificial Intelligence ◽

Stock Market ◽

Stock Market Trading

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A Bayesian-adaboost model for stock trading rule discovery

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) ◽

10.1109/cisp-bmei.2017.8302138 ◽

2017 ◽

Author(s):

Zhoufan Kong ◽

Jie Yang ◽

Qinghua Huang ◽

Xuelong Li

Keyword(s):

Rule Discovery ◽

Trading Rule ◽

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Cellular automata: a decision support system for stock market trading

International Journal of Computational Economics and Econometrics ◽

10.1504/ijcee.2016.079531 ◽

2016 ◽

Vol 6 (4) ◽

pp. 366

Author(s):

Tessy Mathew ◽

U. Srinivasa Rao ◽

L. Jeganathan

Keyword(s):

Decision Support ◽

Cellular Automata ◽

Stock Market ◽

Decision Support System ◽

Support System ◽

Stock Market Trading

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Stock Market Trading Volume

Handbook of Financial Econometrics: Applications ◽

10.1016/b978-0-444-53548-1.50007-6 ◽

2010 ◽

pp. 241-342 ◽

Author(s):

Andrew W. Lo ◽

Jiang Wang

Keyword(s):

Stock Market ◽

Trading Volume ◽

Stock Market Trading

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