Title of article
Detecting Market Trends by Ignoring It, Some Days
Author/Authors
Wenhui Zou, Jessie Bioinformatics Solution Inc., Canada , Deng, Xiaotie City University of Hong Kong, Hong Kong , Li, Ming University of Waterloo, Canada
From page
852
To page
861
Abstract
The last k days of trading together tell the financial market trends. It may be incon- ceivable if we are told to ignore the 3rd, 6th, and 8th day, a priori. We introduce a novel approach to show exactly that — it pays to ignore some fixed days among the recent k days, fixed a priori, in order to minimize risk and maximize profit simultaneously. The theory developed here has direct implications to our common senses on how we should look at the financial market trends.
Keywords
optimal spaced seeds , market trend prediction
Journal title
International Journal of Universal Computer Sciences
Journal title
International Journal of Universal Computer Sciences
Record number
2574728
Link To Document