def get_wma(self,
data: list,
prices: int,
parameter: str,
round_value: bool = True) -> float:
data = data[len(data) - prices:]
wma = get_wma(data, prices, parameter, desc=False)
return round(wma, self.precision) if round_value else wma
def get_wma(self,
data: list,
prices: int,
parameter: str,
round_value=True) -> float:
data = data[0:prices]
wma = get_wma(data, prices, parameter)
return round(wma, self.precision) if round_value else wma
def get_wma(self, prices: int, parameter: str, shift: int = 0, round_value: bool = True,
update: bool = True) -> float:
"""
Returns the weighted moving average with run-time data and prices provided.
:param update: Boolean for whether function should call API and get latest data or not.
:param shift: Prices shifted from current period.
:param boolean round_value: Boolean that specifies whether return value should be rounded
:param int prices: Number of prices to loop over for average
:param parameter: Parameter to get the average of (e.g. open, close, high or low values)
:return: WMA
"""
if not self.is_valid_average_input(shift, prices):
raise ValueError('Invalid average input specified.')
data = [self.get_current_data()] + self.data if update else self.get_total_non_updated_data()
data = data[shift: prices + shift]
wma = get_wma(data, prices, parameter)
if round_value:
return round(wma, self.precision)
return wma