Saturday, January 30, 2021
I am identifying this as my "bread and butter" moving average.
Used in conjunction with a key baseline along with a unique, newly developed way of incorporating temporal support and resistance (I just checked, and I cannot find the approach described, explained, or even briefly mentioned anywhere online) it clarifies when to enter and exit positions, and in which direction to trade.
A common criticism often thrown my way is that I am overfitting or curve fitting my strategy, resulting in a false confidence in its robustness. But, I disagree.
If I were indeed curve fitting, then future data points would fail to follow the past, resulting in poor predictive value. But, since future data points follow just as well as past data points, my approach should not be characterized as such.
I think what these critics are trying to communicate is that my measures are so tailored for the particular instruments I trade that they will not be able to adapt to a change in markets; or for a particular time frame, that they will not be able to adapt to another. They see such inflexibility as a bad thing. But, even if this is a reality, and I’m not saying that it is, so what?
I regard the adapting of a strategy to closely fit a given asset class to be a strength—not a weakness. So, if this methodology works next week, I will be using it going forward in that it seems to eliminate any remaining flaws in the final three iterations of NPP I’ve implemented so far this year.
I am identifying this as my "bread and butter" moving average.
Used in conjunction with a key baseline along with a unique, newly developed way of incorporating temporal support and resistance (I just checked, and I cannot find the approach described, explained, or even briefly mentioned anywhere online) it clarifies when to enter and exit positions, and in which direction to trade.
A common criticism often thrown my way is that I am overfitting or curve fitting my strategy, resulting in a false confidence in its robustness. But, I disagree.
If I were indeed curve fitting, then future data points would fail to follow the past, resulting in poor predictive value. But, since future data points follow just as well as past data points, my approach should not be characterized as such.
I think what these critics are trying to communicate is that my measures are so tailored for the particular instruments I trade that they will not be able to adapt to a change in markets; or for a particular time frame, that they will not be able to adapt to another. They see such inflexibility as a bad thing. But, even if this is a reality, and I’m not saying that it is, so what?
I regard the adapting of a strategy to closely fit a given asset class to be a strength—not a weakness. So, if this methodology works next week, I will be using it going forward in that it seems to eliminate any remaining flaws in the final three iterations of NPP I’ve implemented so far this year.
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