PINE LIBRARY
Updated DynamicFunctions

Library "DynamicFunctions"
Custom Dynamic functions that allow an adaptive calculation beginning from the first bar
RoC(src, period)
Dynamic RoC
Parameters:
src (float): and period
Custom function to calculate the actual period considering non-na source values
period (int)
dynamicMedian(src, length)
Dynamic Median
Parameters:
src (float): and length
length (int)
kernelRegression(src, bandwidth, kernel_type)
Dynamic Kernel Regression Calculation \n Uses either of the following inputs for kernel_type:\nEpanechnikov\nLogistic\nWave
Parameters:
src (float)
bandwidth (int)
kernel_type (string)
waveCalculation(source, bandwidth, width)
Use together with kernelRegression function to get chart applicable band
Parameters:
source (float)
bandwidth (int)
width (float)
Rsi(src, length)
Dynamic RSI function
Parameters:
src (float)
length (int)
dynamicStdev(src, period)
Dynamic SD function
Parameters:
src (float)
period (int)
stdv_bands(src, length, mult)
Dynamic SD Bands
Parameters:
src (float)
length (int)
mult (float)
Returns: Basis, Positive SD, Negative SD
Adx(dilen, adxlen)
Dynamic ADX
Parameters:
dilen (int)
adxlen (int)
Returns: adx
Atr(length)
Dynamic ATR
Parameters:
length (int)
Returns: ATR
Macd(source, fastLength, slowLength, signalSmoothing)
Dynamic MACD
Parameters:
source (float)
fastLength (int)
slowLength (int)
signalSmoothing (int)
Returns: macdLine, signalLine, histogram
Custom Dynamic functions that allow an adaptive calculation beginning from the first bar
RoC(src, period)
Dynamic RoC
Parameters:
src (float): and period
Custom function to calculate the actual period considering non-na source values
period (int)
dynamicMedian(src, length)
Dynamic Median
Parameters:
src (float): and length
length (int)
kernelRegression(src, bandwidth, kernel_type)
Dynamic Kernel Regression Calculation \n Uses either of the following inputs for kernel_type:\nEpanechnikov\nLogistic\nWave
Parameters:
src (float)
bandwidth (int)
kernel_type (string)
waveCalculation(source, bandwidth, width)
Use together with kernelRegression function to get chart applicable band
Parameters:
source (float)
bandwidth (int)
width (float)
Rsi(src, length)
Dynamic RSI function
Parameters:
src (float)
length (int)
dynamicStdev(src, period)
Dynamic SD function
Parameters:
src (float)
period (int)
stdv_bands(src, length, mult)
Dynamic SD Bands
Parameters:
src (float)
length (int)
mult (float)
Returns: Basis, Positive SD, Negative SD
Adx(dilen, adxlen)
Dynamic ADX
Parameters:
dilen (int)
adxlen (int)
Returns: adx
Atr(length)
Dynamic ATR
Parameters:
length (int)
Returns: ATR
Macd(source, fastLength, slowLength, signalSmoothing)
Dynamic MACD
Parameters:
source (float)
fastLength (int)
slowLength (int)
signalSmoothing (int)
Returns: macdLine, signalLine, histogram
Release Notes
Updated License.License formatting shout out to RUBIX_BINARY
Release Notes
v3Added:
Stdev(src, period)
Dynamic SD function
Parameters:
src (float)
period (int)
Returns: Dynamic Standard Deviation
ZScore(src, lookback)
Dynamic Z-Score function
Parameters:
src (float)
lookback (int)
Returns: Dynamic Z-Score
Updated:
RoC(src, period)
Dynamic RoC
Parameters:
src (float)
period (int)
dynamicMedian(src, length)
Dynamic Median
Parameters:
src (float)
length (int)
kernelRegression(src, bandwidth, kernel_type)
Dynamic Kernel Regression Calculation
description Uses either of the following inputs for kernel_type:\nEpanechnikov\nLogistic\nWave
Parameters:
src (float)
bandwidth (int)
kernel_type (string)
waveCalculation(source, bandwidth, width)
Dynamic Wave Calculation function
description Use together with kernelRegression function to get chart applicable band
Parameters:
source (float)
bandwidth (int)
width (float)
stdv_bands(_src, _length, _mult)
Dynamic SD Bands
Parameters:
_src (float)
_length (int)
_mult (float)
Returns: Basis, Positive SD, Negative SD
Removed:
dynamicStdev(src, period)
Dynamic SD function
Adx(dilen, adxlen)
Dynamic ADX
Atr(length)
Dynamic ATR
Macd(source, fastLength, slowLength, signalSmoothing)
Dynamic MACD
Pine library
In true TradingView spirit, the author has published this Pine code as an open-source library so that other Pine programmers from our community can reuse it. Cheers to the author! You may use this library privately or in other open-source publications, but reuse of this code in publications is governed by House Rules.
No statements or claims aim to be financial advice,
neither are any signals from us or our indicators.
Want to learn Trading, Investing or system building?
Join the Community! 👇
discord.gg/FMZDM3bZ9T
neither are any signals from us or our indicators.
Want to learn Trading, Investing or system building?
Join the Community! 👇
discord.gg/FMZDM3bZ9T
Disclaimer
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.
Pine library
In true TradingView spirit, the author has published this Pine code as an open-source library so that other Pine programmers from our community can reuse it. Cheers to the author! You may use this library privately or in other open-source publications, but reuse of this code in publications is governed by House Rules.
No statements or claims aim to be financial advice,
neither are any signals from us or our indicators.
Want to learn Trading, Investing or system building?
Join the Community! 👇
discord.gg/FMZDM3bZ9T
neither are any signals from us or our indicators.
Want to learn Trading, Investing or system building?
Join the Community! 👇
discord.gg/FMZDM3bZ9T
Disclaimer
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.