I'm sure that most of you heard about systems with specific parameters working pretty good for some time, untill they become useless?
So it got me thinking...
Why are some m.a. cross over systems on the d1 perform amazing for some time, only to become completely useless some time afterwards? Which leads the curve fiting. I think I've managed to get an answer why most systems with fixed parameters fail. And the answer is = they don't account for changes in volatility.
It is a proven fact that volatility has changed through out years,months,days on forex.
I suppose the reason for the D1 timeframe is = changes is the interest rates.
So having said that, does anyone even account for volatility ? How would one do that ?
Is that also the reason why fixed risk:reward fails some time after ?
So it got me thinking...
Why are some m.a. cross over systems on the d1 perform amazing for some time, only to become completely useless some time afterwards? Which leads the curve fiting. I think I've managed to get an answer why most systems with fixed parameters fail. And the answer is = they don't account for changes in volatility.
It is a proven fact that volatility has changed through out years,months,days on forex.
I suppose the reason for the D1 timeframe is = changes is the interest rates.
So having said that, does anyone even account for volatility ? How would one do that ?
Is that also the reason why fixed risk:reward fails some time after ?
The truth is hidden from you