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In contrast to most systems of financial and chart analysis, NeuroStrategy begins its investigations without any knowledge and hence also without any assumptions regarding the problem to be solved. The strategic models begin in preschool, as it were, and must work their way through toward obtaining a university degree. In the process, they are only able to learn what they actually find in the data. Particular expectations or assumptions on the part of the user play no role in this. Via the small number of adjustable parameters, the user merely defines certain boundary conditions, regarding which there is no uncertainty - how high the broker's commission for a transaction is, for example, and whether or not short positions can be collected.
Thus, it is quite possible that NeuroStrategy is unable to solve the problem posed for a certain financial instrument in a satisfactory way. Precisely because of the strictly unbiased approach, however, the user is able to recognize such a case immediately. If, for example, the user is confronted in the Model Builder with an equity curve such as in the Sample Strategy for 3COMS, it is obvious that it was impossible to find a satisfactory solution. Accordingly, such a security should not be managed with the support of NeuroStrategy.