Stocks & Commodities V. 28:5 (40-44): Smoothing The Bollinger %b by Sylvain Vervoort
Product Description
Smoothing The Bollinger %b by Sylvain Vervoort
This variation of the popular Bollinger %b indicator gives clear turning points that will help traders identify entry and exit points while prices are moving between the Bollinger bands.
By now, everybody in the business knows that Bollinger bands were developed by John Bollinger. What they actually are is probably equally known. The Bollinger bands in Figure 1 consist of a set of three curves drawn in relation to price data. The middle band is usually a simple 20-bar moving average that serves as the base for the upper and lower bands.
Upper band = Middle band + 2 x 20-period closing prices standard deviation Lower band = Middle band – 2 x 20-period closing prices standard deviation
Most technical analysis programs have a built-in function for displaying Bollinger bands. Here is the MetaStock formula for Bollinger bands using basic functions:
{The middle band} Mov(Close,20,Simple); {The upper band} 2*Stdev(Close,20 ) + Mov(Close,20,Simple); {The lower band} Mov(Close,20,Simple)-2*Stdev(Close,20)
In a normal distribution, most prices of a set of data are close to the average, with relatively few prices moving in one extreme or the other. If you were to look at a normally distributed data on a graph, it would look like a bell curve. Not all price data will reflect a perfect curve, of course. The standard deviation of the 20-period closing prices is a statistic that tells you how tight the price data are clustered around the mean.
This variation of the popular Bollinger %b indicator gives clear turning points that will help traders identify entry and exit points while prices are moving between the Bollinger bands.
By now, everybody in the business knows that Bollinger bands were developed by John Bollinger. What they actually are is probably equally known. The Bollinger bands in Figure 1 consist of a set of three curves drawn in relation to price data. The middle band is usually a simple 20-bar moving average that serves as the base for the upper and lower bands.
Upper band = Middle band + 2 x 20-period closing prices standard deviation Lower band = Middle band – 2 x 20-period closing prices standard deviation
Most technical analysis programs have a built-in function for displaying Bollinger bands. Here is the MetaStock formula for Bollinger bands using basic functions:
{The middle band} Mov(Close,20,Simple); {The upper band} 2*Stdev(Close,20 ) + Mov(Close,20,Simple); {The lower band} Mov(Close,20,Simple)-2*Stdev(Close,20)
In a normal distribution, most prices of a set of data are close to the average, with relatively few prices moving in one extreme or the other. If you were to look at a normally distributed data on a graph, it would look like a bell curve. Not all price data will reflect a perfect curve, of course. The standard deviation of the 20-period closing prices is a statistic that tells you how tight the price data are clustered around the mean.
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