本文整理汇总了Python中talib.MIDPOINT属性的典型用法代码示例。如果您正苦于以下问题：Python talib.MIDPOINT属性的具体用法？Python talib.MIDPOINT怎么用？Python talib.MIDPOINT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.MIDPOINT属性的6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: midpoint
# 需要导入模块: import talib [as 别名]
# 或者: from talib import MIDPOINT [as 别名]
def midpoint(candles: np.ndarray, period=14, source_type="close", sequential=False) -> Union[float, np.ndarray]:
"""
MIDPOINT - MidPoint over period
:param candles: np.ndarray
:param period: int - default=14
: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 = talib.MIDPOINT(source, timeperiod=period)
if sequential:
return res
else:
return None if np.isnan(res[-1]) else res[-1] 示例2: MAMA
# 需要导入模块: import talib [as 别名]
# 或者: from talib import MIDPOINT [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_MIDPOINT
# 需要导入模块: import talib [as 别名]
# 或者: from talib import MIDPOINT [as 别名]
def add_MIDPOINT(self, timeperiod=14,
type='line', color='secondary', **kwargs):
"""Midpoint Price over Period."""
if not self.has_close:
raise Exception()
utils.kwargs_check(kwargs, VALID_TA_KWARGS)
if 'kind' in kwargs:
type = kwargs['kind']
name = 'MIDPOINT({})'.format(str(timeperiod))
self.pri[name] = dict(type=type, color=color)
self.ind[name] = talib.MIDPOINT(self.df[self.cl].values) 示例4: MIDPOINT
# 需要导入模块: import talib [as 别名]
# 或者: from talib import MIDPOINT [as 别名]
def MIDPOINT(series, n=14):
return _series_to_series(series, talib.MIDPOINT, n) 示例5: test_midpoint
# 需要导入模块: import talib [as 别名]
# 或者: from talib import MIDPOINT [as 别名]
def test_midpoint(self):
result = pandas_ta.midpoint(self.close)
self.assertIsInstance(result, Series)
self.assertEqual(result.name, 'MIDPOINT_2')
try:
expected = tal.MIDPOINT(self.close, 2)
pdt.assert_series_equal(result, expected, check_names=False)
except AssertionError as ae:
try:
corr = pandas_ta.utils.df_error_analysis(result, expected, col=CORRELATION)
self.assertGreater(corr, CORRELATION_THRESHOLD)
except Exception as ex:
error_analysis(result, CORRELATION, ex) 示例6: MIDPOINT
# 需要导入模块: import talib [as 别名]
# 或者: from talib import MIDPOINT [as 别名]
def MIDPOINT(data, **kwargs):
_check_talib_presence()
prices = _extract_series(data)
return talib.MIDPOINT(prices, **kwargs)