An Up-Trend Detection Using an Auto-Associative Neural Network : KOSPI 200 Futures

  • Baek Jinwoo (Department of Industrial Engineering Seoul National Universitv) ;
  • Cho Sungzoon (Department of Industrial Engineering Seoul National Universitv)
  • Published : 2002.05.01

Abstract

We propose a neural network based up-trend detector. An auto-associative neural network was trained with 'up-trend' data obtained from the KOSPI 200 future price. It was then used to predict an up-trend Simple investment strategies based on the detector achieved a two year return of $19.8\%$ with no leverage.

Keywords