class_docstr: Cumulative Return (CR)
  
  Args:
      close(pandas.Series): dataset 'Close' column.
      fillna(bool): if True, fill nan values.
class_docstr_tok: ["Cumulative","Return","(","CR",")","Args",":","close","(","pandas.Series",")",":","dataset","'Close","'","column",".","fillna","(","bool",")",":","if","True",",","fill","nan","values","."]
code: def __init__(self, close: pd.Series, fillna: bool = False):
      self._close = close
      self._fillna = fillna
      self._run()
  
imports: import numpy
  import pandas
  from ta.utils import IndicatorMixin
label_desc: Use image node_id 1 to create a new CumulativeReturnIndicator object from inherited base classes: IndicatorMixin with example: obj = CumulativeReturnIndicator(close, fillna)