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
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