One thing I noticed was that the stochastics lines can be a kind of divergence detector with the slow (red), medium (blue) and fast(black) lines making breakaways once they converge.
For example, if the lines are together and the black line starts to diverge upwards, it means that there is a positive divergence which will happen quickly and then end. The blue and the red lines are longer term divergences.
I wanted to share this one and the unique and interesting use of divergences with this indicator.
study(title="Sniper Stochastics 2", shorttitle="Snp Stoch2") plotchar = location.top length1 = input(55, minval=1), smoothK1 = input(1, minval=1), smoothD1 = input(3, minval=1) length2 = input(89, minval=1), smoothK2 = input(1, minval=1), smoothD2 = input(1, minval=1) length3 = input(144,minval=1),smoothk3 = input(1,minval=1),smoothD3 = input(1,minval=1) k1 = sma(stoch(close, high, low, length1), smoothK1) d1 = sma(k1, smoothD1) plot(k1, color=black) k2 = sma(stoch(close, high, low, length2), smoothK2) d2 = sma(k2, smoothD2) plot(k2, color=blue) k3 = sma(stoch(close,high,low,length3),smoothk3) d3 = sma(k3,smoothD3) plot(k3,color=red)