class_docstr: Volume-price trend (VPT)
  
  Is based on a running cumulative volume that adds or substracts a multiple
  of the percentage change in share price trend and current volume, depending
  upon the investment's upward or downward movements.
  
  https://en.wikipedia.org/wiki/Volume%E2%80%93price_trend
  
  Args:
      close(pandas.Series): dataset 'Close' column.
      volume(pandas.Series): dataset 'Volume' column.
      fillna(bool)=False: if True, fill nan values. DO NOT RECCOMEND to set it True.
      smoothing_factor(int)=None: will smooth default VPT implementation with SMA.
      dropnans(bool)=False: drop nans after indicator calculated.
code: def __init__(
      self,
      close: pd.Series,
      volume: pd.Series,
      fillna: bool = False,
      smoothing_factor: tp.Optional[int] = None,
      dropnans: bool = False,
  ):
      self._close = close
      self._volume = volume
      self._fillna = fillna
      self._smoothing_factor = smoothing_factor
      self._dropnans = dropnans
      self._run()
  
imports: import typing
  import numpy
  import pandas
  from ta.utils import IndicatorMixin, _ema
label_desc: Use image node_id 1 to create a new VolumePriceTrendIndicator object from inherited base classes: IndicatorMixin with example: obj = VolumePriceTrendIndicator(close, volume, fillna, smoothing_factor, dropnans)