Adaptive Dynamic Trading with GE

Abstract

The previous chapter conducted controlled trading over static artificial benchmark data sets. In these experiments GE was shown to be capable of producing optimal rules for trading. The problems of evolving over a static data set were highlighted as the resulting rules tended to be brittle and data sensitive. In this chapter GE is taken further and embedded in a dynamic moving window paradigm that evolves and adapts its population of rules over time.