PINE LIBRARY

lib_kernel

Library "lib_kernel"
Library "lib_kernel"

This is a tool / library for developers, that contains several common and adapted kernel functions as well as a kernel regression function and enum to easily select and embed a list into the settings dialog.

How to Choose and Modify Kernels in Practice

Compact Support Kernels (e.g., Epanechnikov, Triangular): Use for localized smoothing and emphasizing nearby data.
Oscillatory Kernels (e.g., Wave, Cosine): Ideal for detecting periodic patterns or mean-reverting behavior.
Smooth Tapering Kernels (e.g., Gaussian, Logistic): Use for smoothing long-term trends or identifying global price behavior.

kernel_Epanechnikov(u)
Parameters:
u (float)

kernel_Epanechnikov_alt(u, sensitivity)
Parameters:
u (float)
sensitivity (float)

kernel_Triangular(u)
Parameters:
u (float)

kernel_Triangular_alt(u, sensitivity)
Parameters:
u (float)
sensitivity (float)

kernel_Rectangular(u)
Parameters:
u (float)

kernel_Uniform(u)
Parameters:
u (float)

kernel_Uniform_alt(u, sensitivity)
Parameters:
u (float)
sensitivity (float)

kernel_Logistic(u)
Parameters:
u (float)

kernel_Logistic_alt(u)
Parameters:
u (float)

kernel_Logistic_alt2(u, sigmoid_steepness)
Parameters:
u (float)
sigmoid_steepness (float)

kernel_Gaussian(u)
Parameters:
u (float)

kernel_Gaussian_alt(u, sensitivity)
Parameters:
u (float)
sensitivity (float)

kernel_Silverman(u)
Parameters:
u (float)

kernel_Quartic(u)
Parameters:
u (float)

kernel_Quartic_alt(u, sensitivity)
Parameters:
u (float)
sensitivity (float)

kernel_Biweight(u)
Parameters:
u (float)

kernel_Triweight(u)
Parameters:
u (float)

kernel_Sinc(u)
Parameters:
u (float)

kernel_Wave(u)
Parameters:
u (float)

kernel_Wave_alt(u)
Parameters:
u (float)

kernel_Cosine(u)
Parameters:
u (float)

kernel_Cosine_alt(u, sensitivity)
Parameters:
u (float)
sensitivity (float)

kernel(u, select, alt_modificator)
wrapper for all standard kernel functions, see enum Kernel comments and function descriptions for usage szenarios and parameters
Parameters:
u (float)
select (series Kernel)
alt_modificator (float)

kernel_regression(src, bandwidth, kernel, exponential_distance, alt_modificator)
wrapper for kernel regression with all standard kernel functions, see enum Kernel comments for usage szenarios. performance optimized version using fixed bandwidth and target
Parameters:
src (float): input data series
bandwidth (simple int): sample window of nearest neighbours for the kernel to process
kernel (simple Kernel): type of Kernel to use for processing, see Kernel enum or respective functions for more details
exponential_distance (simple bool): if true this puts more emphasis on local / more recent values
alt_modificator (float): see kernel functions for parameter descriptions. Mostly used to pronounce emphasis on local values or introduce a decay/dampening to the kernel output

Biblioteca Pine

Fiel al espíritu de TradingView, el autor ha publicado este código de Pine como biblioteca de código abierto, para que otros programadores de nuestra comunidad puedan reutilizarlo. ¡Enhorabuena al autor! Puede usar esta biblioteca de forma privada o en otras publicaciones de código abierto, pero su reutilización en publicaciones está sujeta a nuestras Normas internas.

robbatt

Exención de responsabilidad

La información y las publicaciones no constituyen, ni deben considerarse como, asesoramiento o recomendaciones financieras, de inversión, de trading u otro tipo, proporcionadas o respaldadas por TradingView. Obtenga más información en Condiciones de uso.

Biblioteca Pine

robbatt