Moving average crossover scan for atleast x consecutive days

stormy77

Member
Hi Guys, maybe this is simple, but I'm lost.
I am trying to scan for a ema crossover 50/200, but only wants results if the crossover has been true for the past X consecutive days.
So , I would see a ticker, if it has closed above the crossover for at least X consecutive days.
second, I also want to filter for stocks that have been below the 200 ema for atleast 200 prior days.
I presume I should be able to do this, by creating a scan for tickers trading below their 200EMA, but how would I specify number of days? I don't think the "within x bars" parameter will work?
 
Solution
Do this by summing a series of 1s and 0s:
Code:
declare upper;
input n = 5;
def fast = ExpAverage(close, 50);
def slow = ExpAverage(close, 200);
def cxu = if fast crosses above slow then 1 else 0;
def cxd = if fast crosses below slow then 1 else 0;
def is_up = if fast > slow then 1 else 0;
def is_dn = if fast < slow then 1 else 0;

plot eureka_up_n_days = if cxu[n] == 1 and sum(is_up, n) == n then 1 else 0;
plot eureka_dn_n_days = if cxd[n] == 1 and sum(is_dn, n) == n then 1 else 0;

To use it as a scan, remember to comment out one of the eureka plots.
Do this by summing a series of 1s and 0s:
Code:
declare upper;
input n = 5;
def fast = ExpAverage(close, 50);
def slow = ExpAverage(close, 200);
def cxu = if fast crosses above slow then 1 else 0;
def cxd = if fast crosses below slow then 1 else 0;
def is_up = if fast > slow then 1 else 0;
def is_dn = if fast < slow then 1 else 0;

plot eureka_up_n_days = if cxu[n] == 1 and sum(is_up, n) == n then 1 else 0;
plot eureka_dn_n_days = if cxd[n] == 1 and sum(is_dn, n) == n then 1 else 0;

To use it as a scan, remember to comment out one of the eureka plots.
 
Solution
How do we add a condition to the above scan: Specify the number of days that those two averages had not crossed prior to the current crossover that happened within the last 3 days?
 

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