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)
            fastmatype:  Moving average type for the faster moving average.
                By default, fastmatype=0. Integers 0 - 8 are accepted
                (check  down the mappings) or the string containing the math type can
                also be used.
            slowmatype:  Moving average type for the slower moving average.
                By default, slowmatype=0. Integers 0 - 8 are accepted
                (check down the mappings) or the string containing the math type can
                also be used.
            signalmatype:  Moving average type for the signal moving average.
                By default, signalmatype=0. Integers 0 - 8 are accepted
                (check down the mappings) or the string containing the math type can
                also be used.

                * 0 = Simple Moving Average (SMA),
                * 1 = Exponential Moving Average (EMA),
                * 2 = Weighted Moving Average (WMA),
                * 3 = Double Exponential Moving Average (DEMA),
                * 4 = Triple Exponential Moving Average (TEMA),
                * 5 = Triangular Moving Average (TRIMA),
                * 6 = T3 Moving Average,
                * 7 = Kaufman Adaptive Moving Average (KAMA),
                * 8 = MESA Adaptive Moving Average (MAMA)

def get_macdext(self, symbol, interval='daily', series_type='close',
                    fastperiod=None, slowperiod=None, signalperiod=None, fastmatype=None,
                    slowmatype=None, signalmatype=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)
            fastmatype:  Moving average type for the faster moving average.
                By default, fastmatype=0. Integers 0 - 8 are accepted
                (check  down the mappings) or the string containing the math type can
                also be used.
            slowmatype:  Moving average type for the slower moving average.
                By default, slowmatype=0. Integers 0 - 8 are accepted
                (check down the mappings) or the string containing the math type can
                also be used.
            signalmatype:  Moving average type for the signal moving average.
                By default, signalmatype=0. Integers 0 - 8 are accepted
                (check down the mappings) or the string containing the math type can
                also be used.

                * 0 = Simple Moving Average (SMA),
                * 1 = Exponential Moving Average (EMA),
                * 2 = Weighted Moving Average (WMA),
                * 3 = Double Exponential Moving Average (DEMA),
                * 4 = Triple Exponential Moving Average (TEMA),
                * 5 = Triangular Moving Average (TRIMA),
                * 6 = T3 Moving Average,
                * 7 = Kaufman Adaptive Moving Average (KAMA),
                * 8 = MESA Adaptive Moving Average (MAMA)
        """
        _FUNCTION_KEY = "MACDEXT"
        return _FUNCTION_KEY, 'Technical Analysis: MACDEXT', 'Meta Data'