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Standard Deviation of Price, expressed in Standard Deviations Rate this Topic:
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msr
Posted : Friday, February 17, 2012 12:50:59 PM
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Joined: 12/30/2004
Posts: 38
I need a formula which expresses the daily variation of the percentage by which a security price, in standard deviations, varies from the 200 day simple moving average.  
Bruce_L
Posted : Friday, February 17, 2012 1:12:09 PM


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The percent difference between price and its 200-Period Simple Moving Average:

100 * (C / AVGC200 - 1)

And the difference between price and its 200-Period Simple Moving Average in Standard Devations:

(C - AVGC200) / SQR(ABS(C ^ 2 + C1 ^ 2 + C2 ^ 2 + C3 ^ 2 + C4 ^ 2 + C5 ^ 2 + C6 ^ 2 + C7 ^ 2 + C8 ^ 2 + C9 ^ 2 + C10 ^ 2 + C11 ^ 2 + C12 ^ 2 + C13 ^ 2 + C14 ^ 2 + C15 ^ 2 + C16 ^ 2 + C17 ^ 2 + C18 ^ 2 + C19 ^ 2 + C20 ^ 2 + C21 ^ 2 + C22 ^ 2 + C23 ^ 2 + C24 ^ 2 + C25 ^ 2 + C26 ^ 2 + C27 ^ 2 + C28 ^ 2 + C29 ^ 2 + C30 ^ 2 + C31 ^ 2 + C32 ^ 2 + C33 ^ 2 + C34 ^ 2 + C35 ^ 2 + C36 ^ 2 + C37 ^ 2 + C38 ^ 2 + C39 ^ 2 + C40 ^ 2 + C41 ^ 2 + C42 ^ 2 + C43 ^ 2 + C44 ^ 2 + C45 ^ 2 + C46 ^ 2 + C47 ^ 2 + C48 ^ 2 + C49 ^ 2 + C50 ^ 2 + C51 ^ 2 + C52 ^ 2 + C53 ^ 2 + C54 ^ 2 + C55 ^ 2 + C56 ^ 2 + C57 ^ 2 + C58 ^ 2 + C59 ^ 2 + C60 ^ 2 + C61 ^ 2 + C62 ^ 2 + C63 ^ 2 + C64 ^ 2 + C65 ^ 2 + C66 ^ 2 + C67 ^ 2 + C68 ^ 2 + C69 ^ 2 + C70 ^ 2 + C71 ^ 2 + C72 ^ 2 + C73 ^ 2 + C74 ^ 2 + C75 ^ 2 + C76 ^ 2 + C77 ^ 2 + C78 ^ 2 + C79 ^ 2 + C80 ^ 2 + C81 ^ 2 + C82 ^ 2 + C83 ^ 2 + C84 ^ 2 + C85 ^ 2 + C86 ^ 2 + C87 ^ 2 + C88 ^ 2 + C89 ^ 2 + C90 ^ 2 + C91 ^ 2 + C92 ^ 2 + C93 ^ 2 + C94 ^ 2 + C95 ^ 2 + C96 ^ 2 + C97 ^ 2 + C98 ^ 2 + C99 ^ 2 + C100 ^ 2 + C101 ^ 2 + C102 ^ 2 + C103 ^ 2 + C104 ^ 2 + C105 ^ 2 + C106 ^ 2 + C107 ^ 2 + C108 ^ 2 + C109 ^ 2 + C110 ^ 2 + C111 ^ 2 + C112 ^ 2 + C113 ^ 2 + C114 ^ 2 + C115 ^ 2 + C116 ^ 2 + C117 ^ 2 + C118 ^ 2 + C119 ^ 2 + C120 ^ 2 + C121 ^ 2 + C122 ^ 2 + C123 ^ 2 + C124 ^ 2 + C125 ^ 2 + C126 ^ 2 + C127 ^ 2 + C128 ^ 2 + C129 ^ 2 + C130 ^ 2 + C131 ^ 2 + C132 ^ 2 + C133 ^ 2 + C134 ^ 2 + C135 ^ 2 + C136 ^ 2 + C137 ^ 2 + C138 ^ 2 + C139 ^ 2 + C140 ^ 2 + C141 ^ 2 + C142 ^ 2 + C143 ^ 2 + C144 ^ 2 + C145 ^ 2 + C146 ^ 2 + C147 ^ 2 + C148 ^ 2 + C149 ^ 2 + C150 ^ 2 + C151 ^ 2 + C152 ^ 2 + C153 ^ 2 + C154 ^ 2 + C155 ^ 2 + C156 ^ 2 + C157 ^ 2 + C158 ^ 2 + C159 ^ 2 + C160 ^ 2 + C161 ^ 2 + C162 ^ 2 + C163 ^ 2 + C164 ^ 2 + C165 ^ 2 + C166 ^ 2 + C167 ^ 2 + C168 ^ 2 + C169 ^ 2 + C170 ^ 2 + C171 ^ 2 + C172 ^ 2 + C173 ^ 2 + C174 ^ 2 + C175 ^ 2 + C176 ^ 2 + C177 ^ 2 + C178 ^ 2 + C179 ^ 2 + C180 ^ 2 + C181 ^ 2 + C182 ^ 2 + C183 ^ 2 + C184 ^ 2 + C185 ^ 2 + C186 ^ 2 + C187 ^ 2 + C188 ^ 2 + C189 ^ 2 + C190 ^ 2 + C191 ^ 2 + C192 ^ 2 + C193 ^ 2 + C194 ^ 2 + C195 ^ 2 + C196 ^ 2 + C197 ^ 2 + C198 ^ 2 + C199 ^ 2 - 200 * AVGC200 ^ 2) / 200)

Are very different things.

Modelling Bollinger Bands (& Standard Deviation) in a TC PCF
PCF Formula Descriptions
Handy PCF example formulas to help you learn the syntax of PCFs!

-Bruce
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msr
Posted : Friday, February 17, 2012 1:13:35 PM
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Thanks, Bruce.
msr
Posted : Friday, February 17, 2012 3:17:01 PM
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I am attempting (and failing) to produce a custom indicator for the negative side of the standard deviations.  I get an error message which states error:  this must return a boolean %true.  I am bracketing off the formula above and adding to it the following "<= -1.5" and c < avgc200.  What am I doing wrong?
msr
Posted : Friday, February 17, 2012 3:18:51 PM
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Joined: 12/30/2004
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I should have said "a custom boolean indicator of percent true."  What I am attempting to show is the standard deviations below the 200ma.
Bruce_L
Posted : Friday, February 17, 2012 3:21:20 PM


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Joined: 10/7/2004
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In TC2000 version 12, you should be able to just add the <= -1.5 to the end. There is no need for the C < AVGC200 portion.

In TC2000 version 7, you would need to put parentheses around the negative number. So you would need to add <= (-1.5) instead of <= -1.5 to the end.

-Bruce
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msr
Posted : Friday, February 17, 2012 3:22:58 PM
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Thanks, again, Bruce.

msr
Posted : Wednesday, February 22, 2012 11:01:49 AM
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Bruce:  Is it possible to calculate the standard deviations of the values of the standard deviations derived from the formula we have been discussing?

If so, what is that formula and what is the composite formula?

Thanks,

Mark
Bruce_L
Posted : Wednesday, February 22, 2012 11:09:16 AM


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I am not sure exactly what you are asking.

If you want to plot the value of the 200-Period Standard Deviation of Price itself, it would be:

SQR(ABS(C ^ 2 + C1 ^ 2 + C2 ^ 2 + C3 ^ 2 + C4 ^ 2 + C5 ^ 2 + C6 ^ 2 + C7 ^ 2 + C8 ^ 2 + C9 ^ 2 + C10 ^ 2 + C11 ^ 2 + C12 ^ 2 + C13 ^ 2 + C14 ^ 2 + C15 ^ 2 + C16 ^ 2 + C17 ^ 2 + C18 ^ 2 + C19 ^ 2 + C20 ^ 2 + C21 ^ 2 + C22 ^ 2 + C23 ^ 2 + C24 ^ 2 + C25 ^ 2 + C26 ^ 2 + C27 ^ 2 + C28 ^ 2 + C29 ^ 2 + C30 ^ 2 + C31 ^ 2 + C32 ^ 2 + C33 ^ 2 + C34 ^ 2 + C35 ^ 2 + C36 ^ 2 + C37 ^ 2 + C38 ^ 2 + C39 ^ 2 + C40 ^ 2 + C41 ^ 2 + C42 ^ 2 + C43 ^ 2 + C44 ^ 2 + C45 ^ 2 + C46 ^ 2 + C47 ^ 2 + C48 ^ 2 + C49 ^ 2 + C50 ^ 2 + C51 ^ 2 + C52 ^ 2 + C53 ^ 2 + C54 ^ 2 + C55 ^ 2 + C56 ^ 2 + C57 ^ 2 + C58 ^ 2 + C59 ^ 2 + C60 ^ 2 + C61 ^ 2 + C62 ^ 2 + C63 ^ 2 + C64 ^ 2 + C65 ^ 2 + C66 ^ 2 + C67 ^ 2 + C68 ^ 2 + C69 ^ 2 + C70 ^ 2 + C71 ^ 2 + C72 ^ 2 + C73 ^ 2 + C74 ^ 2 + C75 ^ 2 + C76 ^ 2 + C77 ^ 2 + C78 ^ 2 + C79 ^ 2 + C80 ^ 2 + C81 ^ 2 + C82 ^ 2 + C83 ^ 2 + C84 ^ 2 + C85 ^ 2 + C86 ^ 2 + C87 ^ 2 + C88 ^ 2 + C89 ^ 2 + C90 ^ 2 + C91 ^ 2 + C92 ^ 2 + C93 ^ 2 + C94 ^ 2 + C95 ^ 2 + C96 ^ 2 + C97 ^ 2 + C98 ^ 2 + C99 ^ 2 + C100 ^ 2 + C101 ^ 2 + C102 ^ 2 + C103 ^ 2 + C104 ^ 2 + C105 ^ 2 + C106 ^ 2 + C107 ^ 2 + C108 ^ 2 + C109 ^ 2 + C110 ^ 2 + C111 ^ 2 + C112 ^ 2 + C113 ^ 2 + C114 ^ 2 + C115 ^ 2 + C116 ^ 2 + C117 ^ 2 + C118 ^ 2 + C119 ^ 2 + C120 ^ 2 + C121 ^ 2 + C122 ^ 2 + C123 ^ 2 + C124 ^ 2 + C125 ^ 2 + C126 ^ 2 + C127 ^ 2 + C128 ^ 2 + C129 ^ 2 + C130 ^ 2 + C131 ^ 2 + C132 ^ 2 + C133 ^ 2 + C134 ^ 2 + C135 ^ 2 + C136 ^ 2 + C137 ^ 2 + C138 ^ 2 + C139 ^ 2 + C140 ^ 2 + C141 ^ 2 + C142 ^ 2 + C143 ^ 2 + C144 ^ 2 + C145 ^ 2 + C146 ^ 2 + C147 ^ 2 + C148 ^ 2 + C149 ^ 2 + C150 ^ 2 + C151 ^ 2 + C152 ^ 2 + C153 ^ 2 + C154 ^ 2 + C155 ^ 2 + C156 ^ 2 + C157 ^ 2 + C158 ^ 2 + C159 ^ 2 + C160 ^ 2 + C161 ^ 2 + C162 ^ 2 + C163 ^ 2 + C164 ^ 2 + C165 ^ 2 + C166 ^ 2 + C167 ^ 2 + C168 ^ 2 + C169 ^ 2 + C170 ^ 2 + C171 ^ 2 + C172 ^ 2 + C173 ^ 2 + C174 ^ 2 + C175 ^ 2 + C176 ^ 2 + C177 ^ 2 + C178 ^ 2 + C179 ^ 2 + C180 ^ 2 + C181 ^ 2 + C182 ^ 2 + C183 ^ 2 + C184 ^ 2 + C185 ^ 2 + C186 ^ 2 + C187 ^ 2 + C188 ^ 2 + C189 ^ 2 + C190 ^ 2 + C191 ^ 2 + C192 ^ 2 + C193 ^ 2 + C194 ^ 2 + C195 ^ 2 + C196 ^ 2 + C197 ^ 2 + C198 ^ 2 + C199 ^ 2 - 200 * AVGC200 ^ 2) / 200)

If you want to plot the Standard Deviation of the difference between Price and its 200-Period Simple Moving Average in Standard Deviations, I cannot think of a way to create a formula which would be short enough to be practical.

-Bruce
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msr
Posted : Wednesday, February 22, 2012 11:15:29 AM
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B: I would like to plot the standard deviation of the standard deviation of the percentage variation of price as related to the 200 sma.  It does sound complex, but in the age of the intel core i7 I think that it might be possible to calculate within a reasonable time, if the formula can be generated.

Thanks,

Mark
Bruce_L
Posted : Wednesday, February 22, 2012 11:29:50 AM


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Joined: 10/7/2004
Posts: 65,138
No. It wouldn't be practical. It would be hundreds of times the size of the formula I already posted and would likely exceed the calculation time threshold on our servers.

The formula could not even be copied and pasted using the Windows clipboard as it has a 32768 character limit when copying and pasting text.

It would be possible to do this calculation in StockFinder. RealCode and Block Diagrams both offer techniques for optimizing how the algorithm could be created and calculated which cannot be done using the Personal Criteria Formula Language.

You could even create something in StockFinder without writing a RealCode or creating any Block Diagrams manually by just using Standard Deviation indicators and Comparison Plots.

-Bruce
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msr
Posted : Wednesday, February 22, 2012 1:12:21 PM
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Posts: 38
Thanks, Bruce.  Just a thought.  

Regards,

Mark
Bruce_L
Posted : Wednesday, February 22, 2012 1:13:11 PM


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You're welcome.

-Bruce
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