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 :
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