class_docstr: This class implements all the api calls to times series
      
class_docstr_tok: ["This","class","implements","all","the","api","calls","to","times","series"]
docstr: weekly adjusted time series (last trading day of each week,
  weekly open, weekly high, weekly low, weekly close, weekly adjusted
  close, weekly volume, weekly dividend) of the equity specified,
  covering up to 20 years of historical data.
  Keyword Arguments:
      symbol:  the symbol for the equity we want to get its data
docstr_tok: ["weekly","adjusted","time","series","(","last","trading","day","of","each","week",",","weekly","open",",","weekly","high",",","weekly","low",",","weekly","close",",","weekly","adjusted","close",",","weekly","volume",",","weekly","dividend",")","of","the","equity","specified",",","covering","up","to","20","years","of","historical","data",".","Keyword","Arguments",":","symbol",":","the","symbol","for","the","equity","we","want","to","get","its","data"]
code: def get_weekly_adjusted(self, symbol):
      """weekly adjusted time series (last trading day of each week,
      weekly open, weekly high, weekly low, weekly close, weekly adjusted
      close, weekly volume, weekly dividend) of the equity specified,
      covering up to 20 years of historical data.
      Keyword Arguments:
          symbol:  the symbol for the equity we want to get its data
  
      """
      _FUNCTION_KEY = "TIME_SERIES_WEEKLY_ADJUSTED"
      return _FUNCTION_KEY, "Weekly Adjusted Time Series", "Meta Data"
  
file_path: alpha_vantage/alpha_vantage/async_support/timeseries.py
imports: from .alphavantage import AlphaVantage
label_desc: Use image node_id 6 for calling the TimeSeries obj's underlying member method code with example usage: obj.get_weekly_adjusted(symbol) and returns: _FUNCTION_KEY,  str,  str