def wilders(candles: np.ndarray, period=5, source_type="close", sequential=False) -> Union[float, np.ndarray]:
"""
WILDERS - Wilders Smoothing
:param candles: np.ndarray
:param period: int - default: 5
:param source_type: str - default: "close"
:param sequential: bool - default=False
:return: float | np.ndarray
"""
if not sequential and len(candles) > 240:
candles = candles[-240:]
source = get_candle_source(candles, source_type=source_type)
res = ti.wilders(np.ascontiguousarray(source), period=period)
return np.concatenate((np.full((candles.shape[0] - res.shape[0]), np.nan), res), axis=0) if sequential else res[-1]
def wilders(candles: np.ndarray,
period: int = 5,
source_type: str = "close",
sequential: bool = False) -> Union[float, np.ndarray]:
"""
WILDERS - Wilders Smoothing
:param candles: np.ndarray
:param period: int - default: 5
:param source_type: str - default: "close"
:param sequential: bool - default=False
:return: float | np.ndarray
"""
candles = slice_candles(candles, sequential)
source = get_candle_source(candles, source_type=source_type)
res = ti.wilders(np.ascontiguousarray(source), period=period)
return same_length(candles, res) if sequential else res[-1]