OPEN-SOURCE SCRIPT
ที่อัปเดต: Function - Kernel Density Estimation (KDE)
"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:
Republishing due to change of function.
deprecated script:
from wikipedia.com
KDE function with optional kernel:
- Uniform
- Triangle
- Epanechnikov
- Quartic
- Triweight
- Gaussian
- Cosinus
Republishing due to change of function.
deprecated script:
เอกสารเผยแพร่
added quartic and triweight kernels.เอกสารเผยแพร่
- added placeholder for kernels(logistic, sigmoid, silverman)
- added kernel calculations for kernel(uniform, triangular, cosine)
เอกสารเผยแพร่
added calculations for kernels(logistic, sigmoid and silverman(Not working atm)เอกสารเผยแพร่
removed silverman kernel, added highest value index line/label, nearest to 0 index as a dotted gray line.เอกสารเผยแพร่
added extra stats/visuals to drawing function.สคริปต์โอเพนซอร์ซ
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
คำจำกัดสิทธิ์ความรับผิดชอบ
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
สคริปต์โอเพนซอร์ซ
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
คำจำกัดสิทธิ์ความรับผิดชอบ
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.