Learning the optimal trading strategy

Within a realistic model of the stockmarket, we derive the most successful trading strategy. We first identify the agent who has realized the largest percentual gain and then analyze all the operations this trader has perform ed during the simulation run. We report them in a proper trading space and we extend the model, introducing an additional operator acting with the hel p of a look up table derived from a clusterization of space. We discuss the robustness of this optimal strategy, its performance and the applicability to real markets. (C) 2001 Elsevier Science B.V. All rights reserved.