• 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