本文整理汇总了Python中talib.TRIMA属性的典型用法代码示例。如果您正苦于以下问题：Python talib.TRIMA属性的具体用法？Python talib.TRIMA怎么用？Python talib.TRIMA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.TRIMA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: trima
# 需要导入模块: import talib [as 别名]
# 或者: from talib import TRIMA [as 别名]
def trima(candles: np.ndarray, period=30, source_type="close", sequential=False) -> Union[float, np.ndarray]:
"""
TRIMA - Triangular Moving Average
:param candles: np.ndarray
:param period: int - default: 30
: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.TRIMA(source, timeperiod=period)
return res if sequential else res[-1] 示例2: add_TRIMA
# 需要导入模块: import talib [as 别名]
# 或者: from talib import TRIMA [as 别名]
def add_TRIMA(self, timeperiod=20,
type='line', color='secondary', **kwargs):
"""Triangular Moving Average."""
if not self.has_close:
raise Exception()
utils.kwargs_check(kwargs, VALID_TA_KWARGS)
if 'kind' in kwargs:
type = kwargs['kind']
name = 'TRIMA({})'.format(str(timeperiod))
self.pri[name] = dict(type=type, color=color)
self.ind[name] = talib.TRIMA(self.df[self.cl].values,
timeperiod) 示例3: test_trima
# 需要导入模块: import talib [as 别名]
# 或者: from talib import TRIMA [as 别名]
def test_trima():
'''test TA.TRIMA'''
ma = TA.TRIMA(ohlc, 30)
talib_ma = talib.TRIMA(ohlc['close'])
#assert round(talib_ma[-1], 5) == round(ma.values[-1], 5)
# assert 1509.0876041666781 == 1560.25056
pass # close enough 示例4: TRIMA
# 需要导入模块: import talib [as 别名]
# 或者: from talib import TRIMA [as 别名]
def TRIMA(series, n=30):
return _series_to_series(series, talib.TRIMA, n) 示例5: test_trima
# 需要导入模块: import talib [as 别名]
# 或者: from talib import TRIMA [as 别名]
def test_trima(self):
result = pandas_ta.trima(self.close)
self.assertIsInstance(result, Series)
self.assertEqual(result.name, 'TRIMA_10')
try:
expected = tal.TRIMA(self.close, 10)
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: TRIMA
# 需要导入模块: import talib [as 别名]
# 或者: from talib import TRIMA [as 别名]
def TRIMA(data, **kwargs):
_check_talib_presence()
prices = _extract_series(data)
return talib.TRIMA(prices, **kwargs)