# Scan for ATR crossing above DIMinus

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I am trying to create a scanner that identifies when the (ATR (10, Wilders) crosses above the DIMinus (10, Wilders).

Below, I attempted to do this in TOS, by creating a study, but I saw your video that this is an illusion which shows me why these types of scans are not reliable.

ATR(“length” = 10, “average type” = “WEIGHTED”) crosses above DIMinus(“length” = 10)

Then I read the section on your site entitled “Overlay one study onto another for crossover signals,” however I’m not sure if I am in the right place.

Do you have any videos about how to achieve a scanner for the above criteria or is a similar question answered that I may be able to modify an existing script that you created?

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Posted by (Questions: 2, Answers: 4)
Asked on September 30, 2020 10:37 am
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 ▲ 0 ▼ ✔ Private answer Sorry but you have pretty much already provided the solution. Which is that such a scan is not at all attainable. The ATR and the DMI plots are completely different species. Those two plots never cross. The ATR measures the average of the true range from one candle to the next. The DMI measures the difference between the high of each candle, and the difference between the low of each candle. Then from that it computes a moving average of those two values, and divides that value buy the ATR. So you see the two studies measure completely different things and there is no way to combine them to create any sort of signal at all. And we find the DMI already contains the ATR as one of it's core components. For reference, you mentioned a previous post and I want to provide a link to that post for the benefit of the rest of our viewers: https://www.hahn-tech.com/ans/overlay-one-study-onto-another-for-crossover-signals/ In that post we see an example of a chart overlay and a full explanation of why they are completely useless (even harmful) for trading. Harmful because they create an optical illusion that has no basis in reality. To say they are "not reliable" is missing the point entirely. They are useless because they create an illusion of something that does not exist. An effective analogy is something called "spurious correlations". If you want to have some fun, enter that phrase in your favorite search engine and check some of the results that come up. Once example that I found is "Divorce rate in Maine correlates with Per capita consumption of margarine". Just because they correlate does not mean they are related in any way. Marked as spam Posted by Pete Hahn (Questions: 38, Answers: 3345) Answered on September 30, 2020 11:24 am