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

hQrGrIg8lY

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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?

Code:
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;
}
 
Solution
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?

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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?
 
Solution

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