Title
A Pattern Recognition Approach To The Prediction Of Price Increases In The New York Stock Exchange Composite Index
Keywords
Efficient markets hypothesis; Financial decision support; Heuristics; Pattern recognition; Stock market forecasting; Technical analysis
Abstract
We match a template depicting a "bull flag" 60-day price behavior to closing prices of the New York Stock Exchange Composite Index to detect buying opportunities at a 20 trading day horizon. The results of the experiment indicate that the technique is capable of achieving results which are superior to those attained by random choice. Statistical results are significant. The paper constitutes evidence that the stock markets are non efficient.
Publication Date
7-1-2001
Publication Title
Informatica (Ljubljana)
Volume
25
Issue
2
Number of Pages
261-269
Document Type
Article
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0035388053 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0035388053
STARS Citation
Leigh, W.; Paz, M.; and Paz, N., "A Pattern Recognition Approach To The Prediction Of Price Increases In The New York Stock Exchange Composite Index" (2001). Scopus Export 2000s. 224.
https://stars.library.ucf.edu/scopus2000/224