Fast And Slow Stochastics

Fast And Slow Stochastics (FSST) was authored by U. Jenson for Omega Research, 1997. First, the FSST calculates the Fast and Slow Kurtosis (FSK) using Momentum, previous Momentum and previous FSK (feedback) along with a percentage factor. Next, the FSST uses the FSK and Stochastics for the final calculation. A signal line, which is a weighted moving average of itself, is also given. This indicator’s definition is further expressed in the condensed code given in the calculation below.

See also Fast And Slow Kurtosis

Fast And Slow ST

How To Trade Using Fast And Slow ST

Although a signal line is plotted, no signals are currently calculated for this indicator.

How To Access in MotiveWave

Go to the top menu, choose Study>Oscillators>Fast&Slow ST

or go to the top menu, choose Add Study, start typing in this study name until you see it appear in the list, click on the study name, click OK.

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//input = price, user defined, default is closing price
//method = moving average (ma), user defined, default is WMA
//period1 = user defined, default is 3
//period2 = user defined, default is 6
//period3 = user defined, default is 9
//period4 = user defined, default is 9
//prev = previous, stochK = Stochastis fast K
//index = current bar number

mom = momentum(index, period, input);
prevMom = mon[index-1];
prevFsk = FSK[index-1];
fsk = (.03 * (mom - prevMom)) + ((1 - .03) * prevFsk);
v4 = ma(method, index, period2, fsk);
fastk = stochK(index, period3, key);
slowk = ma(method,  index, period3, fastK);
fsst = 500 * v4 + slowk;
wfsst = ma(method, index, period4, fsst);