An effective application of decision tree to stock trading

Muh-Cherng Wu*, Sheng Yu Lin, Chia Hsin Lin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

69 Scopus citations

Abstract

This paper presents a stock trading method by combining the filter rule and the decision tree technique. The filter rule, having been widely used by investors, is used to generate candidate trading points. These points are subsequently clustered and screened by the application of a decision tree algorithm C4.5. Compared to previous literature that applied such a combination technique, this research is distinct in incorporating the future information into the criteria for clustering the trading points. Taiwan and NASDAQ stock markets are used to justify the proposed method. Experiment results show that the proposed trading method outperforms both the filter rule and the previous method.

Original languageEnglish
Pages (from-to)270-274
Number of pages5
JournalExpert Systems with Applications
Volume31
Issue number2
DOIs
StatePublished - 1 Aug 2006

Keywords

  • Decision tree
  • Filter rule
  • Stock trading

Fingerprint Dive into the research topics of 'An effective application of decision tree to stock trading'. Together they form a unique fingerprint.

Cite this