Title
A computational implementation of stock charting: abrupt volume increase as signal for movement in New York Stock Exchange Composite Index
Abbreviated Journal Title
Decis. Support Syst.
Keywords
pattern recognition; financial decision support; market efficiency; technical analysis; stock market forecasting; TECHNICAL ANALYSIS; TRADING VOLUME; MARKETS; RETURNS; Computer Science, Artificial Intelligence; Computer Science, Information; Systems; Operations Research & Management Science
Abstract
In this case study in knowledge engineering, data mining, and behavioral finance, we implement a variation of the bull flag stock charting heuristic using a template matching technique from pattern recognition to identify abrupt increases in volume in the New York Stock Exchange Composite Index. Such volume increases are found to signal subsequent increases in price under certain conditions during the period from 1981 to 1999, the Great Bull Market. A 120-trading-day history of price and volume is used to forecast price movement at horizons from 20 to 100 trading days, (C) 2003 Elsevier B.V. All rights reserved.
Journal Title
Decision Support Systems
Volume
37
Issue/Number
4
Publication Date
1-1-2004
Document Type
Article
Language
English
First Page
515
Last Page
530
WOS Identifier
ISSN
0167-9236
Recommended Citation
"A computational implementation of stock charting: abrupt volume increase as signal for movement in New York Stock Exchange Composite Index" (2004). Faculty Bibliography 2000s. 4532.
https://stars.library.ucf.edu/facultybib2000/4532
Comments
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