def get_stoch(self, symbol, interval='daily', fastkperiod=None,
                  slowkperiod=None, slowdperiod=None, slowkmatype=None, slowdmatype=None):
        """ Return the stochatic oscillator 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')
            fastkperiod:  The time period of the fastk moving average. Positive
                integers are accepted (default=None)
            slowkperiod:  The time period of the slowk moving average. Positive
                integers are accepted (default=None)
            slowdperiod: The time period of the slowd moving average. Positive
                integers are accepted (default=None)
            slowkmatype:  Moving average type for the slowk 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.
            slowdmatype:  Moving average type for the slowd 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.

                * 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 = "STOCH"
        return _FUNCTION_KEY, 'Technical Analysis: STOCH', 'Meta Data'
def get_stoch ( self , symbol , interval = 'daily' , fastkperiod = None , slowkperiod = None , slowdperiod = None , slowkmatype = None , slowdmatype = None ) : _FUNCTION_KEY = "STOCH" return _FUNCTION_KEY , 'Technical Analysis: STOCH' , 'Meta Data'
Return the stochatic oscillator 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')
            fastkperiod:  The time period of the fastk moving average. Positive
                integers are accepted (default=None)
            slowkperiod:  The time period of the slowk moving average. Positive
                integers are accepted (default=None)
            slowdperiod: The time period of the slowd moving average. Positive
                integers are accepted (default=None)
            slowkmatype:  Moving average type for the slowk 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.
            slowdmatype:  Moving average type for the slowd 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.

                * 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)