StochasticSlow Data from Higher Aggregation Period

There are many examples of how to reference higher time frames in this forum. We also have a complete MTF MACD chart study available through the following video:

https://www.hahn-tech.com/thinkorswim-mtf-macd-indicator/

Yes, I know that is not covering the Stochastic. But there is no blanket solution to this and each and every indicator must modified in it's own way. But once you see how this is done for 2-3 different indicators you begin to see the changes that are required to make this work.

I only had time to assemble the StochasticFull that references a higher time frame. You can take this example and use it to build the rest of the code to build your chart label.

input stochOB = 80;
input stochOS = 20;
input kPeriod = 10;
input dPeriod = 10;
input timeFrameOne = AggregationPeriod.DAY;
input slowingPeriod = 3;
input stochAverageType = AverageType.SIMPLE;
def lowestK = Lowest(low(period = timeFrameOne), kPeriod);
def changeA = close(period = timeFrameOne) - lowestK;
def changeB = Highest(high(period = timeFrameOne), kPeriod) - lowestK;
def fastK = if changeB != 0 then changeA / changeB * 100 else 0;
plot fullK = MovingAverage(stochAverageType, fastK, slowingPeriod);
plot fullD = MovingAverage(stochAverageType, fullK, dPeriod);
plot overbought = stochOB;
plot oversold = stochOS;