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 on balance volume 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')
docstr_tok: ["Return","the","on","balance","volume","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","'",")"]
code: def get_obv(self, symbol, interval="daily"):
      """Return the on balance volume 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')
      """
      _FUNCTION_KEY = "OBV"
      return _FUNCTION_KEY, "Technical Analysis: OBV", "Meta Data"
  
imports: from .alphavantage import AlphaVantage
label_desc: Use image node_id 48 for calling the TechIndicators obj's underlying member method code with example usage: obj.get_obv(symbol, interval) and returns: _FUNCTION_KEY,  str,  str