本文整理匯總了Python中talib.LINEARREG_INTERCEPT屬性的典型用法代碼示例。如果您正苦於以下問題：Python talib.LINEARREG_INTERCEPT屬性的具體用法？Python talib.LINEARREG_INTERCEPT怎麽用？Python talib.LINEARREG_INTERCEPT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.LINEARREG_INTERCEPT屬性的5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: linearreg_intercept
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import LINEARREG_INTERCEPT [as 別名]
def linearreg_intercept(candles: np.ndarray, period=14, source_type="close", sequential=False) -> Union[float, np.ndarray]:
"""
LINEARREG_INTERCEPT - Linear Regression Intercept
: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.LINEARREG_INTERCEPT(source, timeperiod=period)
return res if sequential else res[-1] 示例2: LINEARREG_INTERCEPT
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import LINEARREG_INTERCEPT [as 別名]
def LINEARREG_INTERCEPT(Series, timeperiod=14):
res = talib.LINEARREG_INTERCEPT(Series.values, timeperiod)
return pd.Series(res, index=Series.index) 示例3: LINEARREG_INTERCEPT
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import LINEARREG_INTERCEPT [as 別名]
def LINEARREG_INTERCEPT(series, n=14):
return _series_to_series(series, talib.LINEARREG_INTERCEPT, n) 示例4: test_linreg_intercept
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import LINEARREG_INTERCEPT [as 別名]
def test_linreg_intercept(self):
result = pandas_ta.linreg(self.close, intercept=True)
self.assertIsInstance(result, Series)
self.assertEqual(result.name, 'LRb_14')
try:
expected = tal.LINEARREG_INTERCEPT(self.close)
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5: LINEARREG_INTERCEPT
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import LINEARREG_INTERCEPT [as 別名]
def LINEARREG_INTERCEPT(data, **kwargs):
_check_talib_presence()
prices = _extract_series(data)
return talib.LINEARREG_INTERCEPT(prices, **kwargs)