Scan for SMA and StochasticFull?

In the screenshot below I show how to setup the scan to include the price crossing the 50 period simple moving average. The code below is then applied as a new study filter. Together, these signals conform to your specifications. So we don’t always have to use code to solve these. We can leverage the built in tools to reduce the amount of code required to reach the goal.


input over_bought = 80;
input over_sold = 20;
input KPeriod = 8;
input DPeriod = 3;
input priceH = high;
input priceL = low;
input priceC = close;
input slowing_period = 3;
input averageType = AverageType.SIMPLE;
def FullK = StochasticFull(over_bought, over_sold, KPeriod, DPeriod, priceH, priceL, priceC, slowing_period, averageType).FullK;
def pivotLow = FullK[2] > FullK[1] and FullK[1] < FullK and FullK < 40; def test = FullK > FullK[1];
def pivotHigh = FullK[2] < FullK[1] and FullK[1] > FullK and FullK > 60;
def lastPivotLowPrice = if pivotLow then FullK[1] else if FullK < 40 then lastPivotLowPrice[1] else FullK; def lastPivotHighPrice = if pivotHigh then FullK[1] else if FullK > 60 then lastPivotLowPrice[1] else FullK;
# use this to scan for FullK pivot low rising 5 point or more but still below 40
plot scan = lastPivotLowPrice < (FullK - 5) and FullK < 40; # use this to scan for FullK pivot high occurring within the last 5 bars #plot scan = lastPivotHighPrice > (FullK + 5) and FullK > 60;