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RicardoSantos

Function - Kernel Density Estimation (KDE)

RicardoSantos Wizard Updated   
Trend Analysis function kernel kde estimation
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trendanalysis function kernel kde estimation
"In statistics, kernel density estimation (KDE) is a non-parametric way to estimate the probability density function of a random variable."
from wikipedia.com

KDE function with optional kernel:
  • Uniform
  • Triangle
  • Epanechnikov
  • Quartic
  • Triweight
  • Gaussian
  • Cosinus

Republishing due to change of function.
deprecated script:
KDE-Gaussian
Release Notes:
added quartic and triweight kernels.
Release Notes:
  • added placeholder for kernels(logistic, sigmoid, silverman)
  • added kernel calculations for kernel(uniform, triangular, cosine)
Release Notes:
added calculations for kernels(logistic, sigmoid and silverman(Not working atm)
Release Notes:
removed silverman kernel, added highest value index line/label, nearest to 0 index as a dotted gray line.
Release Notes:
added extra stats/visuals to drawing function.
Open-source script

In true TradingView spirit, the author of this script has published it open-source, so traders can understand and verify it. Cheers to the author! You may use it for free, but reuse of this code in a publication is governed by House Rules. You can favorite it to use it on a chart.

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