class_docstr: This filter calculates the highest value.
  
  :param dataSeries: The DataSeries instance being filtered.
  :type dataSeries: :class:`pyalgotrade.dataseries.DataSeries`.
  :param period: The number of values to use to calculate the highest value.
  :type period: int.
  :param maxLen: The maximum number of values to hold.
      Once a bounded length is full, when new items are added, a corresponding number of items are discarded from the
      opposite end. If None then dataseries.DEFAULT_MAX_LEN is used.
  :type maxLen: int.
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code: def __init__(self, dataSeries, period, maxLen=None):
      super(High, self).__init__(
          dataSeries, HighLowEventWindow(period, False), maxLen
      )
  
file_path: pyalgotrade/pyalgotrade/technical/highlow.py
imports: from pyalgotrade import technical
label_desc: Use image node_id 1 to create a new High object from inherited base classes: technical with example: obj = High(dataSeries, period, maxLen)