Hi all,
I'm having a peculiar problem creating conditionals for an aggregation that I calculate from various inputs to generate a value. On 95%+ of candles, the value generates successfully. But for reasons I can't understand, on about 5% of candles no value will be generated. If I use the painting strategy "Values_Below" to display the nonexistent value, it will display as "0" instead of "NaN" or "NA" but if I write a conditional using "if STUDYVALUE == 0 then blah," the conditional won't work.
It also won't work if I use "double.nan" or "nan" instead of "0" in the conditional. And as a consequence, there are cases where I need to validate the previous candle's value as a condition for doing something, but if the previous candle's value is not actually generating from that study then my plot condition is unable to be fulfilled even if I try to account for that outlier situation using "double.nan" etc. as part of the conditional.
Is this making sense? Basically what I want to accomplish is for this to work:
But since this will not work in the cases where studyvalue is unable to generate or calculate as anything, the entire conditional gets broken.
Is there a solution for this problem?
I'm having a peculiar problem creating conditionals for an aggregation that I calculate from various inputs to generate a value. On 95%+ of candles, the value generates successfully. But for reasons I can't understand, on about 5% of candles no value will be generated. If I use the painting strategy "Values_Below" to display the nonexistent value, it will display as "0" instead of "NaN" or "NA" but if I write a conditional using "if STUDYVALUE == 0 then blah," the conditional won't work.
It also won't work if I use "double.nan" or "nan" instead of "0" in the conditional. And as a consequence, there are cases where I need to validate the previous candle's value as a condition for doing something, but if the previous candle's value is not actually generating from that study then my plot condition is unable to be fulfilled even if I try to account for that outlier situation using "double.nan" etc. as part of the conditional.
Is this making sense? Basically what I want to accomplish is for this to work:
INI:
def nullstudyvalue == double.nan;
plot signal = if studyvalue>10 then 1 else if studyvalue==nullstudyvalue then 0 else 0;
But since this will not work in the cases where studyvalue is unable to generate or calculate as anything, the entire conditional gets broken.
Is there a solution for this problem?