本文整理汇总了Python中talib.DEMA属性的典型用法代码示例。如果您正苦于以下问题：Python talib.DEMA属性的具体用法？Python talib.DEMA怎么用？Python talib.DEMA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.DEMA属性的7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: dema
# 需要导入模块: import talib [as 别名]
# 或者: from talib import DEMA [as 别名]
def dema(candles: np.ndarray, period=30, source_type="close", sequential=False) -> Union[float, np.ndarray]:
"""
DEMA - Double Exponential 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.DEMA(source, timeperiod=period)
return res if sequential else res[-1] 示例2: DEMA
# 需要导入模块: import talib [as 别名]
# 或者: from talib import DEMA [as 别名]
def DEMA(data, **kwargs):
_check_talib_presence()
prices = _extract_series(data)
return talib.DEMA(prices, **kwargs) 示例3: DEMA
# 需要导入模块: import talib [as 别名]
# 或者: from talib import DEMA [as 别名]
def DEMA(Series, timeperiod=30):
res = talib.DEMA(Series.values, timeperiod)
return pd.Series(res, index=Series.index)
# def EMA(Series, timeperiod=30):
# res = talib.EMA(Series.values, timeperiod)
# return pd.Series(res, index=Series.index) 示例4: add_DEMA
# 需要导入模块: import talib [as 别名]
# 或者: from talib import DEMA [as 别名]
def add_DEMA(self, timeperiod=26,
type='line', color='secondary', **kwargs):
"""Double Exponential Moving Average."""
if not self.has_close:
raise Exception()
utils.kwargs_check(kwargs, VALID_TA_KWARGS)
if 'kind' in kwargs:
type = kwargs['kind']
name = 'DEMA({})'.format(str(timeperiod))
self.pri[name] = dict(type=type, color=color)
self.ind[name] = talib.DEMA(self.df[self.cl].values,
timeperiod) 示例5: test_dema
# 需要导入模块: import talib [as 别名]
# 或者: from talib import DEMA [as 别名]
def test_dema():
'''test TA.DEMA'''
ma = TA.DEMA(ohlc, 20)
talib_ma = talib.DEMA(ohlc['close'], timeperiod=20)
assert round(talib_ma[-1], 5) == round(ma.values[-1], 5) 示例6: DEMA
# 需要导入模块: import talib [as 别名]
# 或者: from talib import DEMA [as 别名]
def DEMA(series, n=30):
"""double exponential moving average"""
return _series_to_series(series, talib.DEMA, n) 示例7: test_dema
# 需要导入模块: import talib [as 别名]
# 或者: from talib import DEMA [as 别名]
def test_dema(self):
result = pandas_ta.dema(self.close)
self.assertIsInstance(result, Series)
self.assertEqual(result.name, 'DEMA_10')
try:
expected = tal.DEMA(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)