PINE LIBRARY
已更新 stats

Library "stats"
stats
factorial(x)
factorial
Parameters:
x (int)
standardize(x, length, lengthSmooth)
standardize
description Moving Standardization of a time series.
Parameters:
x (float)
length (int)
lengthSmooth (int)
dnorm(x, mean, sd)
dnorm
description Approximation for Normal Density Function.
Parameters:
x (float)
mean (float)
sd (float)
pnorm(x, mean, sd, log)
pnorm
description Approximation for Normal Cumulative Distribution Function.
Parameters:
x (float)
mean (float)
sd (float)
log (bool)
ewma(x, length, tau_hl)
ewma
description Exponentially Weighted Moving Average.
Parameters:
x (float)
length (int)
tau_hl (float)
ewm_sd(x, length, tau_hl)
Exponentially Weighted Moving Standard Deviation.
Parameters:
x (float)
length (int)
tau_hl (float)
ewm_scoring(x, length, tau_hl)
ewm_scoring
description Exponentially Weighted Moving Standardization:
Parameters:
x (float)
length (int)
tau_hl (float)
stats
factorial(x)
factorial
Parameters:
x (int)
standardize(x, length, lengthSmooth)
standardize
description Moving Standardization of a time series.
Parameters:
x (float)
length (int)
lengthSmooth (int)
dnorm(x, mean, sd)
dnorm
description Approximation for Normal Density Function.
Parameters:
x (float)
mean (float)
sd (float)
pnorm(x, mean, sd, log)
pnorm
description Approximation for Normal Cumulative Distribution Function.
Parameters:
x (float)
mean (float)
sd (float)
log (bool)
ewma(x, length, tau_hl)
ewma
description Exponentially Weighted Moving Average.
Parameters:
x (float)
length (int)
tau_hl (float)
ewm_sd(x, length, tau_hl)
Exponentially Weighted Moving Standard Deviation.
Parameters:
x (float)
length (int)
tau_hl (float)
ewm_scoring(x, length, tau_hl)
ewm_scoring
description Exponentially Weighted Moving Standardization:
Parameters:
x (float)
length (int)
tau_hl (float)
版本注释
v2Removed:
ewma(x, length, tau_hl)
ewma
description Exponentially Weighted Moving Average.
ewm_sd(x, length, tau_hl)
Exponentially Weighted Moving Standard Deviation.
ewm_scoring(x, length, tau_hl)
ewm_scoring
description Exponentially Weighted Moving Standardization:
版本注释
v3Added:
rationalQuadratic(_src, _lookback, _relativeWeight, startAtBar)
Rational Quadratic Kernel - An infinite sum of Gaussian Kernels of different length scales.
description from trader jdehorty KernelFunctions v2
Parameters:
_src (float): <float series> The source series.
_lookback (simple int): <simple int> The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars.
_relativeWeight (simple float): <simple float> Relative weighting of time frames. Smaller values resut in a more stretched out curve and larger values will result in a more wiggly curve. As this value approaches zero, the longer time frames will exert more influence on the estimation. As this value approaches infinity, the behavior of the Rational Quadratic Kernel will become identical to the Gaussian kernel.
startAtBar (simple int)
Returns: yhat <float series> The estimated values according to the Rational Quadratic Kernel.
discreteFourierTransform(source, length, smoothing)
Discrete Fourier transform
description from trader jdehorty
Parameters:
source (float): time series
length (int)
smoothing (simple int)
Returns: a touple [dft, dfts] i.e. [Discrete Fourier Transform, Smoothed Discrete Fourier Transform]
Pine脚本库
秉承TradingView的精神,作者已将此Pine代码作为开源库发布,以便我们社区的其他Pine程序员可以重用它。向作者致敬!您可以私下或在其他开源出版物中使用此库,但在出版物中重用此代码须遵守网站规则。
免责声明
这些信息和出版物并非旨在提供,也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。
Pine脚本库
秉承TradingView的精神,作者已将此Pine代码作为开源库发布,以便我们社区的其他Pine程序员可以重用它。向作者致敬!您可以私下或在其他开源出版物中使用此库,但在出版物中重用此代码须遵守网站规则。
免责声明
这些信息和出版物并非旨在提供,也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。