Quote from nononsense:
An ET member PM'ed me to express his bewildrement about the different definitions advanced for the term "noise". This is an often encountered situation on these boards where many participants jump on the bandwagon juggling with stuff like "random, noise, mean, etc" while demonstrating that they don't have the least idea of what they are talking about.
Any textbook on probability theory and on signal theory will give a cogent definition of these terms.
Cutten is correct.
He just took the time to point out two very different scenarios.
Cutten is able to recognize, practically, how noise affects making money.
The mean being present, for Cutten, signifies that the range of values during this condition is such that nothing else is going on and therefore the noise evaluation comes out as he syas.
At all other market times their is a dominance of other market factors and noise, while there, has no statistically significant expression. An example would be important short lived news, a time when the diversity of "reaction" is great and also affects a lot of "cancellation" of unfiltered signals.
The later could be handled in a "carrier" type discussion as well.
This example you are commenting upon from cutten is what serves to differentiate the kind of experiences that p[eople have had. I believe Cutten has been in the trenches and that you have a big library where you read a lot.
I like cutten's views because markets are empirical rayher than theoretical. Noise is a little empirical as well.
, any other way around this, that someone knows?