本文整理汇总了Python中talib.HT_TRENDMODE属性的典型用法代码示例。如果您正苦于以下问题:Python talib.HT_TRENDMODE属性的具体用法?Python talib.HT_TRENDMODE怎么用?Python talib.HT_TRENDMODE使用的例子?那么, 这里精选的属性代码示例或许可以为您提供帮助。您也可以进一步了解该属性所在类talib
的用法示例。
在下文中一共展示了talib.HT_TRENDMODE属性的4个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: ht_trendmode
# 需要导入模块: import talib [as 别名]
# 或者: from talib import HT_TRENDMODE [as 别名]
def ht_trendmode(candles: np.ndarray, source_type="close", sequential=False) -> Union[float, np.ndarray]:
"""
HT_TRENDMODE - Hilbert Transform - Trend vs Cycle Mode
:param candles: np.ndarray
:param source_type: str - default: "close"
:param sequential: bool - default=False
:return: int | np.ndarray
"""
if not sequential and len(candles) > 240:
candles = candles[-240:]
source = get_candle_source(candles, source_type=source_type)
res = talib.HT_TRENDMODE(source)
return res if sequential else res[-1]
示例2: HT_TRENDMODE
# 需要导入模块: import talib [as 别名]
# 或者: from talib import HT_TRENDMODE [as 别名]
def HT_TRENDMODE(Series):
res = talib.HT_TRENDMODE(Series.values)
return pd.Series(res, index=Series.index)
示例3: HT_TRENDMODE
# 需要导入模块: import talib [as 别名]
# 或者: from talib import HT_TRENDMODE [as 别名]
def HT_TRENDMODE(series):
return _series_to_series(series, talib.HT_TRENDMODE)
示例4: HT_TRENDMODE
# 需要导入模块: import talib [as 别名]
# 或者: from talib import HT_TRENDMODE [as 别名]
def HT_TRENDMODE(data, **kwargs):
_check_talib_presence()
prices = _extract_series(data)
return talib.HT_TRENDMODE(prices, **kwargs)
# ---------------------------------------------
# Price Transform
# ---------------------------------------------