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","."]
docstr: Cumulative Return (CR)
  
  Returns:
      pandas.Series: New feature generated.
docstr_tok: ["Cumulative","Return","(","CR",")","Returns",":","pandas.Series",":","New","feature","generated","."]
code: def cumulative_return(self) -> pd.Series:
      """Cumulative Return (CR)
  
      Returns:
          pandas.Series: New feature generated.
      """
      cum_ret = self._check_fillna(self._cr, value=-1)
      return pd.Series(cum_ret, name="cum_ret")
  
imports: import numpy
  import pandas
  from ta.utils import IndicatorMixin
label_desc: Use image node_id 3 for calling the CumulativeReturnIndicator obj's underlying member method code with example usage: obj.cumulative_return() and returns: pd