本文整理汇总了Python中talib.MAMA属性的典型用法代码示例。如果您正苦于以下问题：Python talib.MAMA属性的具体用法？Python talib.MAMA怎么用？Python talib.MAMA使用的例子？那么恭喜您, 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.MAMA属性的5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: mama
# 需要导入模块: import talib [as 别名]
# 或者: from talib import MAMA [as 别名]
def mama(candles: np.ndarray, fastlimit=0.5, slowlimit=0.05, source_type="close", sequential=False) -> MAMA:
"""
MAMA - MESA Adaptive Moving Average
:param candles: np.ndarray
:param fastlimit: float - default: 0.5
:param slowlimit: float - default: 0.05
:param source_type: str - default: "close"
:param sequential: bool - default=False
:return: MAMA(mama, fama)
"""
if not sequential and len(candles) > 240:
candles = candles[-240:]
source = get_candle_source(candles, source_type=source_type)
mama, fama = talib.MAMA(source, fastlimit=fastlimit, slowlimit=slowlimit)
if sequential:
return MAMA(mama, fama)
else:
return MAMA(mama[-1], fama[-1]) 示例2: MAMA
# 需要导入模块: import talib [as 别名]
# 或者: from talib import MAMA [as 别名]
def MAMA(Series, fastlimit=0.5, slowlimit=0.05):
mama, fama = talib.MAMA(Series.values, fastlimit, slowlimit)
return pd.Series(mama, index=Series.index), pd.Series(fama, index=Series.index)
# # MAVP - Moving average with variable period
# real = talib.MAVP(close, periods, minperiod=2, maxperiod=30, matype=0)
# # MIDPOINT - MidPoint over period
# real = talib.MIDPOINT(close, timeperiod=14)
# # MIDPRICE - Midpoint Price over period
# real = talib.MIDPRICE(high, low, timeperiod=14)
# # SAREXT - Parabolic SAR - Extended
# real = SAREXT(high, low, startvalue=0, offsetonreverse=0, accelerationinitlong=0,
# accelerationlong=0, accelerationmaxlong=0, accelerationinitshort=0, accelerationshort=0, accelerationmaxshort=0)
# # T3 - Triple Exponential Moving Average (T3)
# real = T3(close, timeperiod=5, vfactor=0)
# # TEMA - Triple Exponential Moving Average
# real = TEMA(close, timeperiod=30)
# # TRIMA - Triangular Moving Average
# real = TRIMA(close, timeperiod=30)
# # WMA - Weighted Moving Average
# real = WMA(close, timeperiod=30) 示例3: add_MAMA
# 需要导入模块: import talib [as 别名]
# 或者: from talib import MAMA [as 别名]
def add_MAMA(self, fastlimit=0.5, slowlimit=0.05,
types=['line', 'line'], colors=['secondary', 'tertiary'],
**kwargs):
"""MESA Adaptive Moving Average.
Note that the first argument of types and colors refers to MAMA while the
second argument refers to FAMA.
"""
if not self.has_close:
raise Exception()
utils.kwargs_check(kwargs, VALID_TA_KWARGS)
if 'kind' in kwargs:
kwargs['type'] = kwargs['kind']
if 'kinds' in kwargs:
types = kwargs['type']
if 'type' in kwargs:
types = [kwargs['type']] * 2
if 'color' in kwargs:
colors = [kwargs['color']] * 2
mama = 'MAMA({},{})'.format(str(fastlimit), str(slowlimit))
fama = 'FAMA({},{})'.format(str(fastlimit), str(slowlimit))
self.pri[mama] = dict(type=types[0], color=colors[0])
self.pri[fama] = dict(type=types[1], color=colors[1])
self.ind[mama], self.ind[fama] = talib.MAMA(self.df[self.cl].values,
fastlimit, slowlimit) 示例4: MAMA
# 需要导入模块: import talib [as 别名]
# 或者: from talib import MAMA [as 别名]
def MAMA(series, fast=.5, slow=.05):
"""MESA Adaptive Moving Average"""
return _series_to_frame(series, ['MAMA', 'FAMA'], talib.MAMA, fast, slow) 示例5: MAMA
# 需要导入模块: import talib [as 别名]
# 或者: from talib import MAMA [as 别名]
def MAMA(data, **kwargs):
_check_talib_presence()
prices = _extract_series(data)
return talib.MAMA(prices, **kwargs)