minor fix

README.md

@@ -13,7 +13,7 @@ Example usage:
 ```python
 from ttools import AnchoredIndicator
 
-mom_standard = vbt.indicator("talib:MOM").run(t1data.data["BAC"].close)
-mom_anchored_d = AnchoredIndicator("talib:MOM", anchor='D').run(t1data.data["BAC"].close)
+mom = vbt.indicator("talib:MOM").run(t1data.data["BAC"].close, timeperiod=10, skipna=True) #standard indicator
+mom_anch_d = AnchoredIndicator("talib:MOM", anchor='D').run(t1data.data["BAC"].close, timeperiod=10, skipna=True) #anchored to D
 ```
 

setup.py

@@ -2,7 +2,7 @@ from setuptools import setup, find_packages
 
 setup(
     name='ttools',
-    version='0.1.2',
+    version='0.1.3',
     packages=['ttools'],
     install_requires=[
         'vectorbtpro',

ttools/vbtutils.py

@@ -11,8 +11,8 @@ class AnchoredIndicator:
         
         Parameters:
         - indicator_name: str, the name of the vectorbt indicator.
-        - anchor: str, 'D' for day, 'H' for hour, 'T' for minute (default is 'D').
-           Any valid frequency string ('D', 'H', 'T', 'W', etc.). can be used as it uses pd.Grouper(freq=anchor)
+        - anchor: str, 'D' for day, 'h' for hour, 'min' for minute (default is 'D').
+           Any valid frequency string ('D', 'h', 'min', 'W', etc.). can be used as it uses pd.Grouper(freq=anchor)
             see https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases
         """
         self.indicator_name = indicator_name
@@ -26,8 +26,8 @@ class AnchoredIndicator:
         
         Parameters:
         - data: pd.Series or pd.DataFrame, the input data series or dataframe (e.g., close prices).
-        - anchor: str, 'D' for day, 'H' for hour, 'T' for minute (default is 'D'). Override for anchor on the instance.
-            Any valid frequency string ('D', 'H', 'T', 'W', etc.). can be used as it uses pd.Grouper(freq=anchor)
+        - anchor: str, 'D' for day, 'h' for hour, 'min' for minute (default is 'D'). Override for anchor on the instance.
+            Any valid frequency string ('D', 'h', 'min', 'W', etc.). can be used as it uses pd.Grouper(freq=anchor)
             see https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases
         - *args, **kwargs: Arguments and keyword arguments passed to the indicator.
         """