For the record, I followed the directions in excruciating detail in the "recent nq methodology" document. I found the directions and the concept to
be very worthwhile. The fact that I like to see how random data may or may not affect the action shouldn't really offend anyone.
Chuck, in case you are reading the replies to your messages.
Fwiw,a good tip for you, would be to use mote than one type of validation, I use Random data, Other timeframes but most importantly other 3-4 similar
markets, to give me hints of what i have is valid or not..
I dont touch systems with anything below 70 in stability in wf and stay away from systems that shows negative numbers in wf oos.. and demand all
systems in family to have high wf scores...
This is of course my own personal opinion, and I am sure other does things differently.
Quote: Originally posted by admin  | @chuck
this means the wf stability of parameter is 60% for rolling, and 52% for coarse (reasonable)
the faster a system gets stable wf parameters, the better it is. If its a curve fit more likely to jump all over the place and have a low score
I have zero faith in random noise as validation.
You are asking questions which imply your doing your own learning (great if your an expert in trading and GSB), and not going down the path where
years of collective research is clearly laid out in the recent nq methodology. It means you waste lots of your own time with poor outcomes.
the bolleneger bands means the equity curves are close (good)
In all fairness, awesome your able to try new things at a mature age | |