As I see it, there are two types of systems. The ones with parameters, and the ones without parameters to optimize. I have yet to see a system that works well without any parameters to optimize, but no doubt one could be built. The systems with parameters are merely curve fitting the data points when optimized. To enable such systems to perform well into the future it is important to reoptimize them as market conditions change. That is the whole point of walk-forward auto optimization systems.
The catch, to answer the original poster, is that there is no guarantees that future results will be anywhere near previous results. However, the more trades and the more data points the great the chance that it will perform as expected.
The catch, to answer the original poster, is that there is no guarantees that future results will be anywhere near previous results. However, the more trades and the more data points the great the chance that it will perform as expected.
