Your code:

tuerkis= WilderAverage[??](Stochastic[14,??](close))

computes the WilderAverage of the Stochastic indicator.
What do you mean by “I need: Stochastic 14 periods, K smoothing 3, D smoothing 2, Wilders Average“?

As to your last question, if you look at the many examples in the forum and in the online documentation for RETURN, COLOURED, STYLE etc… you will see how you can plot them in different colours and shapes.
As to grouping them, you can combine many of them in one custom indicator, such as:

StoK = Stochastic[10,3](close)
StoD = Average[6](StoK)
//
MacdHistogram = MACD[12,26,9](close)
MyColor       = 1    //bullish colour from the indicator settings
IF MacdHistogram < 0 THEN
   MyColor    = -1   //bearish colour from the indicator settings
ENDIF
MacdSig       = MACDSignal[12,26,9](close)
MyMacd        = MACDline[12,26,9](close)
//
return MacdHistogram coloured by MyColor Style(Histogram,1) AS "Macd Histogram",MacdSig coloured("Fuchsia") Style(Line,1) AS "Macd Signal",MyMacd coloured("Red") Style(DottedLine,1) AS "MACDline",StoK coloured("Green") Style(Line,1) AS "K",StoD coloured("Cyan") Style(Line,1) AS "D"

as you will see after adding it below your chart, different indicators use different scales, so you may find that (in this case), to be able to spot the regular MACD lines, you will have to enlarge the scale quite a lot and STOCHASTIC lines will be huge!
On the contrary, if you want to see the STOCHASTIC lines regularly, MACD lines will be very tiny!

Indeed you have to chamge the StoK line with this one:

StoK = WilderAverage[2](Stochastic[14,1](close))