class_docstr: This class implements all the technical indicator api calls
      
class_docstr_tok: ["This","class","implements","all","the","technical","indicator","api","calls"]
docstr: Return the directional movement index values in two json objects as
  data and meta_data. It raises ValueError when problems arise
  
  Keyword Arguments:
      symbol:  the symbol for the equity we want to get its data
      interval:  time interval between two conscutive values,
          supported values are '1min', '5min', '15min', '30min', '60min', 'daily',
          'weekly', 'monthly' (default 'daily')
      time_period:  How many data points to average (default 20)
      series_type:  The desired price type in the time series. Four types
          are supported: 'close', 'open', 'high', 'low' (default 'close')
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code: def get_dx(
      self,
      symbol,
      interval="daily",
      time_period=20,
      series_type="close",
  ):
      """Return the directional movement index values in two json objects as
      data and meta_data. It raises ValueError when problems arise
  
      Keyword Arguments:
          symbol:  the symbol for the equity we want to get its data
          interval:  time interval between two conscutive values,
              supported values are '1min', '5min', '15min', '30min', '60min', 'daily',
              'weekly', 'monthly' (default 'daily')
          time_period:  How many data points to average (default 20)
          series_type:  The desired price type in the time series. Four types
              are supported: 'close', 'open', 'high', 'low' (default 'close')
      """
      _FUNCTION_KEY = "DX"
      return _FUNCTION_KEY, "Technical Analysis: DX", "Meta Data"
  
imports: from .alphavantage import AlphaVantage
label_desc: Use image node_id 34 for calling the TechIndicators obj's underlying member method code with example usage: obj.get_dx(symbol, interval, time_period, series_type) and returns: _FUNCTION_KEY,  str,  str