Kirchenbaum Bands

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Hello,
Does a indicator for Kirshenbaum bands exist for MT4?

The code is described here: http://www.suntrade.it/systems/KBAC_Kirshenbaum_Bands.htm

Is it available or can someone code it?

Greetings,
Erik1966
 

Can someone code this indicator? or does it excist with another name?

I'm searching for a long time for this indicator.

Please help me.



Greetings,

Erik




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KBA-C Kirshenbaum Bands Paul Kirshenbaum, a money manager and mathematician with a Ph.D. in economics from NYU, submitted this rather unique trading band which is “de-trended.” Kirshenbaum Bands are similar to Bollinger Bands (see BOL-C) in that they measure market volatility. However, rather than use standard deviation of a moving average for band width, they use the standard error of linear regression lines of the close. This has the effect of measuring volatility around the current trend, instead of measuring volatility for changes in trend. Construction: Kirshenbaum Bands are constructed as follows:

  1. Calculate a P-Period Exponential Moving Average of the data based on the close.
  2. Then, for each bar, calculate the L-Period linear regression line, using today’s close as the endpoint of the line. (Note: The term “linear regression” is the same as a “least squares” or “best fit” line in some textbooks.)
  3. Calculate d1, d2, d3, .. dL as the distance from the line to the close on each bar which was used to derive the line. That is, di = Distance from Regression Line to each bar’s close.
  4. Calculate the average of the squared errors:
AE = (d12 + d22 + d32 + .. + dN2) / L
  1. Standard Error (Se) is the square root of this value:
Se = square root of AE
  1. Then, if N = Number of Standard Errors, band width is:
BW = N * SE
  1. Add and subtract the band width from the Exponential Moving Average to arrive at today’s value for the upper and lower bands.

Parameters: Periods (P): The period used in the Exponential Moving Average calculation. Linear Regression Periods (L): The period used in constructing the lines for Linear Regression. Deviations (N): Number of deviations used. That is, the Standard Error value can be multiplied by a factor to expand the bands. Mr. Kirshenbaum recommends a value of 1.75.

Kirshenbaum Bands yield excellent volatility bands. Compare this systems with the Bollinger Bands. Use Kirshenbaum bands to measure volatility around a trend, and Bollinger Bands to measure changes in trend.


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