Scalability of a Methodology for Generating Technical Trading Rules with GAPs Based on Risk-Return Adjustment and Incremental Training

Enrique A. de la Cal, E. M. Fernández, R. Quiroga, José Ramón Villar, Javier Sedano. Scalability of a Methodology for Generating Technical Trading Rules with GAPs Based on Risk-Return Adjustment and Incremental Training. In Emilio Corchado, Manuel Grana Romay, Alexandre Savio, editors, Hybrid Artificial Intelligence Systems, 5th International Conference, HAIS 2010, San Sebastián, Spain, June 23-25, 2010. Proceedings, Part II. Volume 6077 of Lecture Notes in Computer Science, pages 143-150, Springer, 2010. [doi]

Abstract

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