Full Stochastics
Posted: 18 Sep 2015 12:10
The Full Stochastics is a generalization of the Fast Stochastics and the Slow Stochastics.
Formula
First the %K(fast) line is calculated, as with the Fast Stochastics. (This line is not shown in the graph.)
Then:
%K(full) = M1 - period simple moving average of the %K(fast) line
%D(full) = M2 - period simple moving average of the %K(full) line
Parameters
The Full Stochastics has three parameters:
n specifies the number of periods to use when calculating the initial %K(fast).
M1 specifies the number of periods over which the %K(full) line is to be smoothed.
M2 specifies the number of periods used to calculate the %D line.
The Full Stochastic Oscillator is a generalization of the Fast and Slow Stochastic Oscillators because setting the parameters of the Full oscillator to (14, 1, 3) is equivalent to the Fast oscillator with parameters set to (14,3), and setting the parameters of the Full oscillator to (14,3,2) is equivalent to the Slow oscillator with parameters set to (14,2).
Formula
First the %K(fast) line is calculated, as with the Fast Stochastics. (This line is not shown in the graph.)
Then:
%K(full) = M1 - period simple moving average of the %K(fast) line
%D(full) = M2 - period simple moving average of the %K(full) line
Parameters
The Full Stochastics has three parameters:
n specifies the number of periods to use when calculating the initial %K(fast).
M1 specifies the number of periods over which the %K(full) line is to be smoothed.
M2 specifies the number of periods used to calculate the %D line.
The Full Stochastic Oscillator is a generalization of the Fast and Slow Stochastic Oscillators because setting the parameters of the Full oscillator to (14, 1, 3) is equivalent to the Fast oscillator with parameters set to (14,3), and setting the parameters of the Full oscillator to (14,3,2) is equivalent to the Slow oscillator with parameters set to (14,2).