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This fear is unfounded.
First of all, it is extremely improbable that thousands of other NeuroStrategy users are managing exactly the same securities as you. And even if this were the case, this can only have a positive effect on the performance of your strategy. For, according to the principle of a self-fulfilling prophecy, this would only increase the accuracy of the relevant strategies. If you imagine the extreme case that all investors are of the opinion that a security will gain in value such that they buy the security, then it will in fact gain in value due to the high demand. In such an unrealistic scenario, the investor who has less transaction fees to pay and who can react faster would have the advantage.
Another factor needs to be considered as well: hardly any two strategy models developed by NeuroStrategy are in fact identical. This is in the nature of the process of learning and evolution. Two experienced investors may pursue very different strategies with a certain security, and yet both can be very successful.
Here it must be emphasized once more that NeuroStrategy is not a forecasting system. Forecasting systems give a pointer, which can be correct or mistaken. NeuroStrategy, by contrast, learns a strategy for trading with the security. As the small number of examples from our NYSE portfolio already demonstrates, there are very different routes of reaching the goal of a low-risk, uniform increase in value. Since the process of learning and evolution governing the models in the NeuroStrategy system follows natural principles, it is likely that very different successful solutions are found for one and the same problem on the different installations of the various users.
That this is so is in the very nature of the question. We are not asking what is the sum of 2 and 2, a question for which there is only one correct answer. In trading in financial instruments, the task is to sift through a whole range of possible solutions and finally choose one of them for productive use.