本文整理匯總了Python中talib.STDDEV屬性的典型用法代碼示例。如果您正苦於以下問題：Python talib.STDDEV屬性的具體用法？Python talib.STDDEV怎麽用？Python talib.STDDEV使用的例子？那麽, 這裏精選的屬性代碼示例或許可以為您提供幫助。您也可以進一步了解該屬性所在類talib的用法示例。
在下文中一共展示了talib.STDDEV屬性的7個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: stddev
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import STDDEV [as 別名]
def stddev(candles: np.ndarray, period=5, nbdev=1, source_type="close", sequential=False) -> Union[float, np.ndarray]:
"""
STDDEV - Standard Deviation
:param candles: np.ndarray
:param period: int - default: 5
:param nbdev: int - default: 1
: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.STDDEV(source, timeperiod=period, nbdev=nbdev)
return res if sequential else res[-1] 示例2: zscore
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import STDDEV [as 別名]
def zscore(candles: np.ndarray, period=14, matype=0, nbdev=1, source_type="close", sequential=False) -> Union[
float, np.ndarray]:
"""
zScore
:param candles: np.ndarray
:param period: int - default: 14
:param matype: int - default: 0
:param nbdev: int - default: 1
: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)
means = talib.MA(source, timeperiod=period, matype=matype)
sigmas = talib.STDDEV(source, timeperiod=period, nbdev=nbdev)
zScores = (source - means) / sigmas
return zScores if sequential else zScores[-1] 示例3: test_stdev
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import STDDEV [as 別名]
def test_stdev(self):
result = pandas_ta.stdev(self.close)
self.assertIsInstance(result, Series)
self.assertEqual(result.name, 'STDEV_30')
try:
expected = tal.STDDEV(self.close, 30)
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4: STDDEV
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import STDDEV [as 別名]
def STDDEV(Series, timeperiod=5, nbdev=1):
return pd.Series(talib.STDDEV(Series.values, timeperiod, nbdev), index=Series.index) 示例5: std
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import STDDEV [as 別名]
def std(self, n, array=False):
"""
Standard deviation
"""
result = talib.STDDEV(self.close, n)
if array:
return result
return result[-1] 示例6: std
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import STDDEV [as 別名]
def std(self, n, array=False):
"""標準差"""
result = talib.STDDEV(self.close, n)
if array:
return result
return result[-1]
# ---------------------------------------------------------------------- 示例7: STDDEV
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import STDDEV [as 別名]
def STDDEV(data, **kwargs):
_check_talib_presence()
prices = _extract_series(data)
return talib.STDDEV(prices, **kwargs)