class_docstr: Ease of movement (EoM, EMV)
  
  It relate an asset's price change to its volume and is particularly useful
  for assessing the strength of a trend.
  
  https://en.wikipedia.org/wiki/Ease_of_movement
  
  Args:
      high(pandas.Series): dataset 'High' column.
      low(pandas.Series): dataset 'Low' column.
      volume(pandas.Series): dataset 'Volume' column.
      window(int): n period.
      fillna(bool): if True, fill nan values.
code: def _run(self):
      self._emv = (
          (self._high.diff(1) + self._low.diff(1))
          * (self._high - self._low)
          / (2 * self._volume)
      )
      self._emv *= 100000000
  
imports: import typing
  import numpy
  import pandas
  from ta.utils import IndicatorMixin, _ema
label_desc: Use image node_id 2 for calling the EaseOfMovementIndicator obj's underlying member method code with example usage: obj._run() without return types