Different prediction methods for chaotic deterministic systems are compared. Two methods of reconstructing the dynamics of the systems are considered with a view to producing a profitable trading model. The methods are the neighbors' method and the radial basis functions method. The optimal prediction horizon according to the sampling time step and a reliable method to measure the prediction error are discussed. These methods are applied to the intra-day series of exchange rates.