Return the moving average convergence/divergence time series 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'
            series_type:  The desired price type in the time series. Four types
                are supported: 'close', 'open', 'high', 'low' (default 'close')
            fastperiod:  Positive integers are accepted (default=None)
            slowperiod:  Positive integers are accepted (default=None)
            signalperiod:  Positive integers are accepted (default=None)

def get_macd(self, symbol, interval='daily', series_type='close',
                 fastperiod=None, slowperiod=None, signalperiod=None):
        """ Return the moving average convergence/divergence time series 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'
            series_type:  The desired price type in the time series. Four types
                are supported: 'close', 'open', 'high', 'low' (default 'close')
            fastperiod:  Positive integers are accepted (default=None)
            slowperiod:  Positive integers are accepted (default=None)
            signalperiod:  Positive integers are accepted (default=None)
        """
        _FUNCTION_KEY = "MACD"
        return _FUNCTION_KEY, 'Technical Analysis: MACD', 'Meta Data'