diff --git a/README.md b/README.md
index 565e3fc3..81923b3f 100644
--- a/README.md
+++ b/README.md
@@ -132,8 +132,11 @@ df['bb_bbhi'] = indicator_bb.bollinger_hband_indicator()
 # Add Bollinger Band low indicator
 df['bb_bbli'] = indicator_bb.bollinger_lband_indicator()
 
-# Add width size Bollinger Bands
+# Add Width Size Bollinger Bands
 df['bb_bbw'] = indicator_bb.bollinger_wband()
+
+# Add Percentage Bollinger Bands
+df['bb_bbp'] = indicator_bb.bollinger_pband()
 ```
 
 
diff --git a/ta/tests/data/cs-bbands.csv b/ta/tests/data/cs-bbands.csv
index 32d68be8..dd31020e 100644
--- a/ta/tests/data/cs-bbands.csv
+++ b/ta/tests/data/cs-bbands.csv
@@ -1,43 +1,43 @@
-Date,Close,MiddleBand,20-day Standard Deviation,HighBand,LowBand,WidthBand,CrossUp,CrossDown
-1-May-09,86.155700,,,,,,,
-4-May-09,89.086700,,,,,,,
-5-May-09,88.782900,,,,,,,
-6-May-09,90.322800,,,,,,,
-7-May-09,89.067100,,,,,,,
-8-May-09,91.145300,,,,,,,
-11-May-09,89.439700,,,,,,,
-12-May-09,89.175000,,,,,,,
-13-May-09,86.930200,,,,,,,
-14-May-09,87.675200,,,,,,,
-15-May-09,86.959600,,,,,,,
-18-May-09,89.429900,,,,,,,
-19-May-09,89.322100,,,,,,,
-20-May-09,88.724100,,,,,,,
-21-May-09,87.449700,,,,,,,
-22-May-09,87.263400,,,,,,,
-26-May-09,89.498500,,,,,,,
-27-May-09,87.900600,,,,,,,
-28-May-09,89.126000,,,,,,,
-29-May-09,90.704300,88.707940,1.291961,91.291862,86.124018,5.167845,0,0
-1-Jun-09,92.900100,89.045160,1.452054,91.949268,86.141052,5.808215,1,0
-2-Jun-09,92.978400,89.239745,1.686425,92.612595,85.866895,6.745700,1,0
-3-Jun-09,91.802100,89.390705,1.771747,92.934200,85.847210,7.086989,0,0
-4-Jun-09,92.664700,89.507800,1.902075,93.311950,85.703650,7.608300,0,0
-5-Jun-09,92.684300,89.688660,2.019895,93.728450,85.648870,8.079580,0,0
-8-Jun-09,92.302100,89.746500,2.076546,93.899592,85.593408,8.306184,0,0
-9-Jun-09,92.772500,89.913140,2.176557,94.266255,85.560025,8.706230,0,0
-10-Jun-09,92.537300,90.081255,2.241921,94.565096,85.597414,8.967682,0,0
-11-Jun-09,92.949000,90.382195,2.202359,94.786912,85.977478,8.809435,0,0
-12-Jun-09,93.203900,90.658630,2.192185,95.043001,86.274259,8.768742,0,0
-15-Jun-09,91.066900,90.863995,2.021805,94.907605,86.820385,8.087220,0,0
-16-Jun-09,89.831800,90.884090,2.009411,94.902912,86.865268,8.037643,0,0
-17-Jun-09,89.743500,90.905160,1.995080,94.895320,86.915000,7.980320,0,0
-18-Jun-09,90.399400,90.988925,1.936044,94.861013,87.116837,7.744176,0,0
-19-Jun-09,90.738700,91.153375,1.760127,94.673629,87.633121,7.040508,0,0
-22-Jun-09,88.017700,91.191090,1.682751,94.556593,87.825587,6.731006,0,0
-23-Jun-09,88.086700,91.120500,1.779126,94.678752,87.562248,7.116503,0,0
-24-Jun-09,86.843900,91.067665,1.886418,94.840502,87.294828,7.545674,0,1
-25-Jun-09,90.778100,91.150270,1.835059,94.820387,87.480153,7.340234,0,0
-26-Jun-09,90.541600,91.142135,1.837377,94.816889,87.467381,7.349507,0,0
-29-Jun-09,91.389400,91.066600,1.794097,94.654793,87.478407,7.176387,0,0
-30-Jun-09,90.650000,90.950180,1.741022,94.432224,87.468136,6.964089,0,0
+Date,Close,MiddleBand,20-day Standard Deviation,HighBand,LowBand,WidthBand,CrossUp,CrossDown,PercentageBand
+1-May-09,86.155700,,,,,,,,
+4-May-09,89.086700,,,,,,,,
+5-May-09,88.782900,,,,,,,,
+6-May-09,90.322800,,,,,,,,
+7-May-09,89.067100,,,,,,,,
+8-May-09,91.145300,,,,,,,,
+11-May-09,89.439700,,,,,,,,
+12-May-09,89.175000,,,,,,,,
+13-May-09,86.930200,,,,,,,,
+14-May-09,87.675200,,,,,,,,
+15-May-09,86.959600,,,,,,,,
+18-May-09,89.429900,,,,,,,,
+19-May-09,89.322100,,,,,,,,
+20-May-09,88.724100,,,,,,,,
+21-May-09,87.449700,,,,,,,,
+22-May-09,87.263400,,,,,,,,
+26-May-09,89.498500,,,,,,,,
+27-May-09,87.900600,,,,,,,,
+28-May-09,89.126000,,,,,,,,
+29-May-09,90.704300,88.707940,1.291961,91.291862,86.124018,5.825685,0,0,0.886304
+1-Jun-09,92.900100,89.045160,1.452054,91.949268,86.141052,6.522775,1,0,1.163705
+2-Jun-09,92.978400,89.239745,1.686425,92.612595,85.866895,7.559076,1,0,1.054228
+3-Jun-09,91.802100,89.390705,1.771747,92.934200,85.847210,7.928105,0,0,0.840257
+4-Jun-09,92.664700,89.507800,1.902075,93.311950,85.703650,8.500153,0,0,0.914928
+5-Jun-09,92.684300,89.688660,2.019895,93.728450,85.648870,9.008474,0,0,0.870767
+8-Jun-09,92.302100,89.746500,2.076546,93.899592,85.593408,9.255162,0,0,0.807674
+9-Jun-09,92.772500,89.913140,2.176557,94.266255,85.560025,9.682934,0,0,0.828427
+10-Jun-09,92.537300,90.081255,2.241921,94.565096,85.597414,9.955104,0,0,0.773877
+11-Jun-09,92.949000,90.382195,2.202359,94.786912,85.977478,9.746870,0,0,0.791370
+12-Jun-09,93.203900,90.658630,2.192185,95.043001,86.274259,9.672264,0,0,0.790266
+15-Jun-09,91.066900,90.863995,2.021805,94.907605,86.820385,8.900357,0,0,0.525090
+16-Jun-09,89.831800,90.884090,2.009411,94.902912,86.865268,8.843839,0,0,0.369080
+17-Jun-09,89.743500,90.905160,1.995080,94.895320,86.915000,8.778732,0,0,0.354434
+18-Jun-09,90.399400,90.988925,1.936044,94.861013,87.116837,8.511119,0,0,0.423875
+19-Jun-09,90.738700,91.153375,1.760127,94.673629,87.633121,7.723804,0,0,0.441102
+22-Jun-09,88.017700,91.191090,1.682751,94.556593,87.825587,7.381210,0,0,0.028541
+23-Jun-09,88.086700,91.120500,1.779126,94.678752,87.562248,7.809991,0,0,0.073695
+24-Jun-09,86.843900,91.067665,1.886418,94.840502,87.294828,8.285788,0,1,-0.059760
+25-Jun-09,90.778100,91.150270,1.835059,94.820387,87.480153,8.052894,0,0,0.449297
+26-Jun-09,90.541600,91.142135,1.837377,94.816889,87.467381,8.063786,0,0,0.418289
+29-Jun-09,91.389400,91.066600,1.794097,94.654793,87.478407,7.880372,0,0,0.544981
+30-Jun-09,90.650000,90.950180,1.741022,94.432224,87.468136,7.657037,0,0,0.456896
diff --git a/ta/tests/volatility.py b/ta/tests/volatility.py
index ead55813..432a334b 100644
--- a/ta/tests/volatility.py
+++ b/ta/tests/volatility.py
@@ -61,6 +61,11 @@ def test_wband(self):
         result = self._indicator.bollinger_wband()
         pd.testing.assert_series_equal(self._df[target].tail(), result.tail(), check_names=False)
 
+    def test_pband(self):
+        target = 'PercentageBand'
+        result = self._indicator.bollinger_pband()
+        pd.testing.assert_series_equal(self._df[target].tail(), result.tail(), check_names=False)
+
     def test_hband_indicator(self):
         target = 'CrossUp'
         result = self._indicator.bollinger_hband_indicator()
diff --git a/ta/volatility.py b/ta/volatility.py
index b0ab3a56..07fab29b 100644
--- a/ta/volatility.py
+++ b/ta/volatility.py
@@ -108,15 +108,29 @@ def bollinger_lband(self) -> pd.Series:
         return pd.Series(lband, name='lband')
 
     def bollinger_wband(self) -> pd.Series:
-        """Bollinger Channel Width Band
+        """Bollinger Channel Band Width
+
+        From: https://school.stockcharts.com/doku.php?id=technical_indicators:bollinger_band_width
 
         Returns:
             pandas.Series: New feature generated.
         """
-        wband = self._hband - self._lband
+        wband = ((self._hband - self._lband) / self._mavg) * 100
         wband = self._check_fillna(wband, value=0)
         return pd.Series(wband, name='bbiwband')
 
+    def bollinger_pband(self) -> pd.Series:
+        """Bollinger Channel Percentage Band
+
+        From: https://school.stockcharts.com/doku.php?id=technical_indicators:bollinger_band_perce
+
+        Returns:
+            pandas.Series: New feature generated.
+        """
+        pband = (self._close - self._lband) / (self._hband - self._lband)
+        pband = self._check_fillna(pband, value=0)
+        return pd.Series(pband, name='bbipband')
+
     def bollinger_hband_indicator(self) -> pd.Series:
         """Bollinger Channel Indicator Crossing High Band (binary).
 
diff --git a/ta/wrapper.py b/ta/wrapper.py
index 9a226273..da983f45 100644
--- a/ta/wrapper.py
+++ b/ta/wrapper.py
@@ -100,6 +100,7 @@ def add_volatility_ta(df: pd.DataFrame, high: str, low: str, close: str,
     df[f'{colprefix}volatility_bbh'] = indicator_bb.bollinger_hband()
     df[f'{colprefix}volatility_bbl'] = indicator_bb.bollinger_lband()
     df[f'{colprefix}volatility_bbw'] = indicator_bb.bollinger_wband()
+    df[f'{colprefix}volatility_bbp'] = indicator_bb.bollinger_pband()
     df[f'{colprefix}volatility_bbhi'] = indicator_bb.bollinger_hband_indicator()
     df[f'{colprefix}volatility_bbli'] = indicator_bb.bollinger_lband_indicator()