I’m looking for some kind of Gaussian indicator (normal distribution). There has been a lot of talk about it on the PRT forum, for example by @Bard, but no real indicator has yet emerged from it. Perhaps it is possible, with the help of everyone who is interested in this, to shape this indicator. The basic shape comes from a negatively squared exponent: f(x) = e ^ (- x ^ 2) By adding a variable mean and the standard deviation, the “complete” normal distribution is created. f(x) = 1 / (σ√2π) exp ( -1/2 [ (x-μ) / σ ] ² ) The first challenge will be to program this complex formula in ProBuilder 🙂
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