How to scan for stocks with volume of the current day n times the average volume of the previous m days?

[hQrGrIg8lY]

I see the following code to scan for average volume above a threshold. I'd like to scan stocks who today's volume is n times the average volume of previous m days.

Average() does not have a parameter to skip the current day.

Does anybody know how to adjust the code to do the task that I want to solve?

input price = volume;
input length = 50;
input averageType = {default Simple, Exponential, Weighted, Wilders, Hull};
input choice2 = {default "greater than", "less than"};
input Choice   = 1000000;

def avg;
switch (averageType) {
case Simple:
    avg = Average(price, length);
case Exponential:
    avg = ExpAverage(price, length);
case Weighted:
    avg = wma(price, length);
case Wilders:
    avg = WildersAverage(price, length);
case Hull:
    avg = HullMovingAvg(price, length);
}

plot scan;

switch (choice2) {
case "greater than":
    scan = avg > choice;
case  "less than":
    scan = avg < choice;
}

 

[Joshua]

You can probably just offset it by [1]

 

[hQrGrIg8lY]

You can probably just offset it by [1]

Do you mean to use

Average(price[1], length)

?

 

[Joshua]

avg[1] > choice

Basically, with a 3 day average, for example; on day 4 it will average days 3, 2, and 1. It will not include day 4 in the average. Therefore, the incomplete sum of daily volume, while the market is still open for the current day, will not drag down the average. This is your goal, correct?