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

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

Unknown author2005

Article2005

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

Unknown author

58 citations·0/0 files stored·Expert Systems with Applications

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Stock Market Forecasting Methods Financial Markets and Investment Strategies Data Mining Algorithms and Applications

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References

1970EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK*1994Testing for Linear and Nonlinear Granger Causality in the Stock Price- Volume Relation 1999Technical analysis of the financial markets: a comprehensive guide to trading methods and applications 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index 1998Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks 2002Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support 1998The predictability of security returns with simple technical trading rules 1990Stock price pattern recognition-a recurrent neural network approach

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2017A comparative study on trend forecasting approach for stock price time series 2014Artificial intelligence applications in financial forecasting – a survey and some empirical results

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Year2005

Typearticle

Published2005-08-09

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations58

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.eswa.2005.07.006

openalex_workW2017270018

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