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in Scanning

I have a Bollinger Band where the middle period is set at 20..the upper standard deviation is + .382 and the lower is -.382...would like to scan stocks that close above the upper band 5 bars and 5 bars that close below the lower band..Help..greatly appreciated.

## Comments

You can specify how far away from the moving average you want the bands to be. The bands are placed at a multiple of the standard deviation value - the default multiplier is 2. That would place the upper band at the SMA plus 2x the standard deviation, and the lower band at the SMA minus 2x the standard deviation. But there is no reason you cannot use a fractional value to multiply the standard deviation, e.g. Upper BB(20, .382) and Lower BB(20, .382).

"As far as I know, you cannot specify the value of the standard deviation. The value of the standard deviation is a result of a calculation of distances between the SMA and prices for each bar in the SMA (in other words, how far prices have wandered away from their moving average). Therefore, the standard deviation's value wiill change with each bar as price values are added and dropped (see the table in the chart school article).

You can specify how far away from the moving average you want the bands to be. The bands are placed at a multiple of the standard deviation value - the default multiplier is 2. That would place the upper band at the SMA plus 2x the standard deviation, and the lower band at the SMA minus 2x the standard deviation. But there is no reason you cannot use a fractional value to multiply the standard deviation, e.g. Upper BB(20, .382) and Lower BB(20, .382). "

Thanks Mark, I was wondering the same thing as daniel and didn't realize the standard deviation was the result of a calculation of those distances. Thanks for shedding some light here

Determine the number of values in the sample (i.e., the length of the moving average)

Add up the values

Divide the sum by the number of values to get the average

Subtract each value in the sample from the average

Square each difference (multiply each difference times itself , e.g. 4.1 x 4.1)

Add up all the squared values

Divide the sum of the squared values by the number of squared values to get the average of squared values

Find the square root of the average of the squared differences – that is the standard deviation.