abstract = "We propose a new modular genetic programming for
finding attractive and statistically sound technical
rules. We restrict the problem space using well-known
technical rules to discover attractive technical rules.
Experimental results show that our modular genetic
programming can successfully find unknown attractive
technical rules for Korean stock market.",
notes = "GECCO-2009 A joint meeting of the eighteenth
international conference on genetic algorithms
(ICGA-2009) and the fourteenth annual genetic
programming conference (GP-2009).