Turbo Stochastic Fast
Turbo Stochastic Fast (TSF) was authored Omega Research 1996. The TSF first calculates the slow K and then smooths it with a Simple Moving Average to produce the fast D. The slow and fast lines are further manipulates with the Linear Regression line calculation which is effectively another smoothing technique. The Linear Regression point (bar number) may be chosen by the user defined turbo value. A plus value points to a future bar location, a minus to a past bar location. Adjustable guides are given to fine tune the trading signals. The user may change the input (close), period lengths, turbo and guide values. This indicator’s definition is further expressed in the condensed code given in the calculation below.
See also Stochastic Oscillator.
How To Trade Using Turbo Stochastic Fast
Adjust the top and bottom guides to control the quantity and quality of the trading signals. TSFK values above 70 are considered to be overbought and therefore offer an opportunity to sell. TSFK values below 30 are considered oversold and present an opportunity to buy. If the TSFK is above the top guide and crosses below the TSFD a sell signal will be generated. Conversely, if the TSFK is below the bottom guide and crosses above the TSFD a buy signal will be given. The 50 line divides the bulls above from the bears below.
How To Access in MotiveWave
Go to the top menu, choose Study>Oscillators>>Turbo Stochastics Fast
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
//kPeriod = user defined, default is 20
//dPeriod = user defined, default is 20
//regress = linear regression period = user defined, default is 10
//turbo = user defined, default is +2
//stochK = stochastics slow K, sma = simple moving average
//index = current bar number
fastK = stochK(index, kPeriod, input); fastD = sma(index, kPeriod, fastK); if (turbo lessThan 0) turbo = Math.max(turbo, -regress); if (turbo moreThan 0) turbo = Math.min(turbo, regress); Plot1: tsfK = linRegLine(index, regress, fastK, regress + turbo); Plot2: tsfD = linRegLine(index, regress, fastD, regress + turbo); //Signals highSell = tsfK for last sell signal, reset to max_negative at each buy signal; lowBuy = tsfK for last buy signal, reset to max_positive at each sell signal; sell = crossedBelow(TSFK, TSFD) AND tsfK moreThan topGuide AND (tsfK moreThan highSell); buy = crossedAbove(TSFK, TSFD) AND tsfK lessThan bottGuide AND (tsfK lessThan lowBuy);