Logistic Correlation is a correlation oscillator using a logistic function.
A Logistic Function is a Sigmoid Function who stabilize the variance of data.The logistic function have the same function as the inverse fisher transform but with an advantage over it, the k constant can control the steepness of the curve, lowers k's will preserve the original form of the data while highers one will transform it into a more square shaped form.
Never notice before but this is a very good indicator for tops and bottoms
levith
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ou!
I see!!!
thx!!
slimer0
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Here's a new generation ift, it's really cool 👏. Ehlers recommends {-5, 5} suitable maximum swing range for data. However correlation returns {-1, 1}. Is that a specific range for all data alternatives or should we try another? (The question is not about directly the constant k, i'm trying to rescale other oscillators. eg rsi)
slowcoconut
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well done, excellent concise script, Alex... do we interpret log correlation < 0.5 in the way we interpret negative correlation?