PINE LIBRARY
TrendIndicators
Updated
Library "TrendIndicators"
This is a library of 'Trend Indicators'.
It aims to facilitate the grouping of this category of indicators, and also offer the customized supply of
the source, not being restricted to just the closing price.
Indicators (this is a work in progress):
1. Absolute DI (Directional Moviment Index) (Difference between DI+ and DI-).
Used in 'DMI Stochastic Extreme' by Barbara Star.
2. DMI
DI_Abs(lengthDI, smoothDI, typeMA, lengthMA)
@description Absolute DI (Directional Moviment Index).
Used in 'DMI Stochastic Extreme' by Barbara Star.
Difference between DI+ and DI-
Parameters:
lengthDI: (int) Length of DI+/DI-
smoothDI: (bool) Sets whether absolute DI should be smoothed
typeMA: (int) Type of moving average of smoothing
lengthMA: (int) Length for moving average of smoothing
Returns: (float) Absolute value of DI
dmi(diLength, adxSmoothing)
@description DMI (Directional Movement Index)
Same as ta.dmi()
Parameters:
diLength: (int) Length of DI+/DI-
adxSmoothing: (int) ADX Smoothing
Returns: [series float, series float, series float] Tuple of three DMI series: Positive Directional
Movement (+DI), Negative Directional Movement (-DI) and Average Directional Movement Index (ADX).
dmi(source, diLength, adxSmoothing)
@description DMI (Directional Movement Index)
Customized version of ta.dmi(), with custom source
Parameters:
source: (float) Source for DI+/DI-
diLength: (int) Length of DI+/DI-
adxSmoothing: (int) ADX Smoothing
Returns: [series float, series float, series float] Tuple of three DMI series: Positive Directional
Movement (+DI), Negative Directional Movement (-DI) and Average Directional Movement Index (ADX).
This is a library of 'Trend Indicators'.
It aims to facilitate the grouping of this category of indicators, and also offer the customized supply of
the source, not being restricted to just the closing price.
Indicators (this is a work in progress):
1. Absolute DI (Directional Moviment Index) (Difference between DI+ and DI-).
Used in 'DMI Stochastic Extreme' by Barbara Star.
2. DMI
DI_Abs(lengthDI, smoothDI, typeMA, lengthMA)
@description Absolute DI (Directional Moviment Index).
Used in 'DMI Stochastic Extreme' by Barbara Star.
Difference between DI+ and DI-
Parameters:
lengthDI: (int) Length of DI+/DI-
smoothDI: (bool) Sets whether absolute DI should be smoothed
typeMA: (int) Type of moving average of smoothing
lengthMA: (int) Length for moving average of smoothing
Returns: (float) Absolute value of DI
dmi(diLength, adxSmoothing)
@description DMI (Directional Movement Index)
Same as ta.dmi()
Parameters:
diLength: (int) Length of DI+/DI-
adxSmoothing: (int) ADX Smoothing
Returns: [series float, series float, series float] Tuple of three DMI series: Positive Directional
Movement (+DI), Negative Directional Movement (-DI) and Average Directional Movement Index (ADX).
dmi(source, diLength, adxSmoothing)
@description DMI (Directional Movement Index)
Customized version of ta.dmi(), with custom source
Parameters:
source: (float) Source for DI+/DI-
diLength: (int) Length of DI+/DI-
adxSmoothing: (int) ADX Smoothing
Returns: [series float, series float, series float] Tuple of three DMI series: Positive Directional
Movement (+DI), Negative Directional Movement (-DI) and Average Directional Movement Index (ADX).
Release Notes
v2New overloaded function:
Absolute DI (Directional Moviment Index) with custom source.
Release Notes
v3Minor fix
To contribute to my work:
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⚡Bitcoin Lightning: forwardocean64@walletofsatoshi.com
🟠Bitcoin: bc1qv0j28wjsg6l8fdkphkmgfz4f55xpph893q0pdh
🔵PayPal: paypal.com/donate/?hosted_button_id=D9KRKY5HMSL9S
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 a publication is governed by House rules.
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