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ciddan
Posted : Thursday, June 19, 2014 5:23:26 PM
Registered User
Joined: 10/17/2011
Posts: 12

Hi,

is it possible to plot a histogram of the difference between two Moving Linear Regression lines? For example, I would have Moving Lin Reg 10 and Moving Lin Reg 50 displayed in my chart, and now I want to plot the difference between the two.

Thank you,

Frank

Bruce_L
Posted : Friday, June 20, 2014 9:31:54 AM


Worden Trainer

Joined: 10/7/2004
Posts: 65,138

Please try using the following Indicator Formulas as the Formula in a Custom PCF Indicator with the Plot Style set to Histogram.

Using Linear Regression vs Classical Peaks/Valleys for Divergence Analysis

AVGC10 + 4.5 * (4.5 * C + 3.5 * C1 + 2.5 * C2 + 1.5 * C3 + 0.5 * C4 - 0.5 * C5 - 1.5 * C6 - 2.5 * C7 - 3.5 * C8 - 4.5 * C9) / 82.5 - (AVGC50 + 24.5 * (24.5 * C + 23.5 * C1 + 22.5 * C2 + 21.5 * C3 + 20.5 * C4 + 19.5 * C5 + 18.5 * C6 + 17.5 * C7 + 16.5 * C8 + 15.5 * C9 + 14.5 * C10 + 13.5 * C11 + 12.5 * C12 + 11.5 * C13 + 10.5 * C14 + 9.5 * C15 + 8.5 * C16 + 7.5 * C17 + 6.5 * C18 + 5.5 * C19 + 4.5 * C20 + 3.5 * C21 + 2.5 * C22 + 1.5 * C23 + 0.5 * C24 - 0.5 * C25 - 1.5 * C26 - 2.5 * C27 - 3.5 * C28 - 4.5 * C29 - 5.5 * C30 - 6.5 * C31 - 7.5 * C32 - 8.5 * C33 - 9.5 * C34 - 10.5 * C35 - 11.5 * C36 - 12.5 * C37 - 13.5 * C38 - 14.5 * C39 - 15.5 * C40 - 16.5 * C41 - 17.5 * C42 - 18.5 * C43 - 19.5 * C44 - 20.5 * C45 - 21.5 * C46 - 22.5 * C47 - 23.5 * C48 - 24.5 * C49) / 10412.5)



-Bruce
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ciddan
Posted : Friday, June 20, 2014 10:01:58 AM
Registered User
Joined: 10/17/2011
Posts: 12

Bruce,

Thank you for the formula and also for the link. I think I can construct this now, but where can I find the value for the Denom factor? You entered 10412.50 for the RL50; what would that number be for the RL90 and RL270 please?

Thanks agaiin,

Frank

Bruce_L
Posted : Friday, June 20, 2014 10:23:06 AM


Worden Trainer

Joined: 10/7/2004
Posts: 65,138

The Tuesday, April 04, 2006 12:12:34 PM ET post by bustermu in the topic explores how to calculate the denominator.

P*(P^2-1)/12

Where P is the period of the linear regression.



-Bruce
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