Kaucic, Massimiliano - In: European Journal of Operational Research 207 (2010) 3, pp. 1717-1727
In this paper, I propose a genetic learning approach to generate technical trading systems for stock timing. The most informative technical indicators are selected from a set of almost 5000 signals by a multi-objective genetic algorithm with variable string length. Successively, these signals...