Kaufman Efficiency & Volatility

How do the kaufman efficiency ratio and volatility fit together?

Kaufman ER = [cl(today) - cl(n days ago)] / [mean(ATR(n days))]

For instance how can I compute tomorrow's most likely absolute range (i.e abs[cl(tomorrow) - cl(today)]) knowing kaufman ER up to now?

I assume that I know ER's distribution and that it has mean M and std S

Thanks
 
Quote from Darklingg:
----how can I compute tomorrow's most likely daily range....
Instead of the "net change", i.e. the difference between today's settlement and yesterday's settlement, why not the day's total range instead, the "sigma"? :confused:
 
Quote from nazzdack:

Instead of the "net change", i.e. the difference between today's settlement and yesterday's settlement, why not the day's total range instead, the "sigma"? :confused:

What do you mean by "day's total range"?
How would it work with it instead of the absolute net change?
 
Quote from Darklingg:

For instance how can I compute tomorrow's most likely absolute range (i.e abs[cl(tomorrow) - cl(today)]) knowing kaufman ER up to now?

I assume that I know ER's distribution and that it has mean M and std S

Tomorrow never comes...
 
Quote from Darklingg:
----"day's total range"?
----How would it work....
1) The daily range, the high minus the low.
2) Intra-day volatility can shake you out of a position before the day's close. :cool:
 
Quote from nazzdack:

1) The daily range, the high minus the low.
2) Intra-day volatility can shake you out of a position before the day's close. :cool:

Alright.

So how can I estimate tomorrow's most likely total range based on Kaufman ER up to today?
 
Quote from Darklingg:
----how can I estimate tomorrow's most likely range....
----Kaufman ER....
1) Price multiplied by implied volatility divided by either the square root of 256 or 365.25 equals sigma. :cool:
2) The Kaufman "thing" does not figure into it. :(
 
Back
Top