ENH adx new lensig arg

README.md

@@ -97,7 +97,7 @@ $ pip install pandas_ta
 
 Latest Version
 --------------
-Best choice! Version: *0.2.74b*
+Best choice! Version: *0.2.75b*
 ```sh
 $ pip install -U git+https://github.com/twopirllc/pandas-ta
 ```
@@ -913,7 +913,7 @@ cascaded stochastic calculations with additional smoothing. See: ```help(ta.stc)
 <br/>
 
 ## **Updated Indicators**
-* _ADX_ (**adx**): Added ```mamode``` with default "**RMA**" and with the same ```mamode``` options as TradingView. See ```help(ta.adx)```.
+* _ADX_ (**adx**): Added ```mamode``` with default "**RMA**" and with the same ```mamode``` options as TradingView. New argument ```lensig``` so it behaves like TradingView's builtin ADX indicator. See ```help(ta.adx)```.
 * _Average True Range_ (**atr**): The default ```mamode``` is now "**RMA**" and with the same ```mamode``` options as TradingView. See ```help(ta.atr)```.
 * _Bollinger Bands_ (**bbands**): New argument ```ddoff``` to control the Degrees of Freedom. Default is 0.  See ```help(ta.bbands)```.
 * _Choppiness Index_ (**chop**): New argument ```ln``` to use Natural Logarithm (True) instead of the Standard Logarithm (False). Default is False.  See ```help(ta.chop)```.

pandas_ta/core.py

@@ -1363,11 +1363,11 @@ def zscore(self, length=None, std=None, offset=None, **kwargs):
         return self._post_process(result, **kwargs)
 
     # Trend
-    def adx(self, length=None, scalar=None, drift=None, offset=None, **kwargs):
+    def adx(self, length=None, lensig=None, mamode=None, scalar=None, drift=None, offset=None, **kwargs):
         high = self._get_column(kwargs.pop("high", "high"))
         low = self._get_column(kwargs.pop("low", "low"))
         close = self._get_column(kwargs.pop("close", "close"))
-        result = adx(high=high, low=low, close=close, length=length, scalar=scalar, drift=drift, offset=offset, **kwargs)
+        result = adx(high=high, low=low, close=close, length=length, lensig=lensig, mamode=mamode, scalar=scalar, drift=drift, offset=offset, **kwargs)
         return self._post_process(result, **kwargs)
 
     def amat(self, fast=None, slow=None, mamode=None, lookback=None, offset=None, **kwargs):

pandas_ta/trend/adx.py

@@ -5,7 +5,7 @@
 from pandas_ta.utils import get_drift, get_offset, verify_series, zero
 
 
-def adx(high, low, close, length=None, scalar=None, mamode=None, drift=None, offset=None, lensig=None, **kwargs):
+def adx(high, low, close, length=None, lensig=None, mamode=None, scalar=None, drift=None, offset=None, **kwargs):
     """Indicator: ADX"""
     # Validate Arguments
     length = length if length and length > 0 else 14
@@ -135,7 +135,8 @@ def adx(high, low, close, length=None, scalar=None, mamode=None, drift=None, off
     high (pd.Series): Series of 'high's
     low (pd.Series): Series of 'low's
     close (pd.Series): Series of 'close's
-    length (int): It's period.  Default: 14
+    length (int): It's period. Default: 14
+    lensig (int): Signal Length. Like TradingView's default ADX. Default: length
     scalar (float): How much to magnify. Default: 100
     drift (int): The difference period. Default: 1
     offset (int): How many periods to offset the result. Default: 0

setup.py

@@ -18,7 +18,7 @@
         "pandas_ta.volatility",
         "pandas_ta.volume"
     ],
-    version=".".join(("0", "2", "74b")),
+    version=".".join(("0", "2", "75b")),
     description=long_description,
     long_description=long_description,
     author="Kevin Johnson",