本文整理匯總了Python中talib.AROONOSC屬性的典型用法代碼示例。如果您正苦於以下問題：Python talib.AROONOSC屬性的具體用法？Python talib.AROONOSC怎麽用？Python talib.AROONOSC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.AROONOSC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: add_AROONOSC
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import AROONOSC [as 別名]
def add_AROONOSC(self, timeperiod=14,
type='area', color='secondary', **kwargs):
"""Aroon Oscillator."""
if not (self.has_high and self.has_low):
raise Exception()
utils.kwargs_check(kwargs, VALID_TA_KWARGS)
if 'kind' in kwargs:
type = kwargs['kind']
name = 'AROONOSC({})'.format(str(timeperiod))
self.sec[name] = dict(type=type, color=color)
self.ind[name] = talib.AROONOSC(self.df[self.hi].values,
self.df[self.lo].values,
timeperiod) 示例2: aroonosc
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import AROONOSC [as 別名]
def aroonosc(candles: np.ndarray, period=14, sequential=False) -> Union[float, np.ndarray]:
"""
AROONOSC - Aroon Oscillator
:param candles: np.ndarray
:param period: int - default=14
:param sequential: bool - default=False
:return: float | np.ndarray
"""
if not sequential and len(candles) > 240:
candles = candles[-240:]
res = talib.AROONOSC(candles[:, 3], candles[:, 4], timeperiod=period)
if sequential:
return res
else:
return None if np.isnan(res[-1]) else res[-1] 示例3: AROONOSC
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import AROONOSC [as 別名]
def AROONOSC(DataFrame, N=14):
res = talib.AROONOSC(DataFrame.high.values, DataFrame.low.values, N)
return pd.DataFrame({'AROONOSC': res}, index=DataFrame.index) 示例4: aroonosc
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import AROONOSC [as 別名]
def aroonosc(self, sym, frequency, *args, **kwargs):
if not self.kbars_ready(sym, frequency):
return []
highs = self.high(sym, frequency)
lows = self.low(sym, frequency)
v = ta.AROONOSC(highs, lows, *args, **kwargs)
return v 示例5: AROONOSC
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import AROONOSC [as 別名]
def AROONOSC(frame, n=14, high_col='high', low_col='low'):
return _frame_to_series(frame, [high_col, low_col], talib.AROONOSC, n) 示例6: test_aroon_osc
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import AROONOSC [as 別名]
def test_aroon_osc(self):
result = pandas_ta.aroon(self.high, self.low)
try:
expected = tal.AROONOSC(self.high, self.low)
pdt.assert_series_equal(result.iloc[:,2], expected)
except AssertionError as ae:
try:
aroond_corr = pandas_ta.utils.df_error_analysis(result.iloc[:,2], expected, col=CORRELATION)
self.assertGreater(aroond_corr, CORRELATION_THRESHOLD)
except Exception as ex:
error_analysis(result.iloc[:,0], CORRELATION, ex) 示例7: AROONOSC
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import AROONOSC [as 別名]
def AROONOSC(data, **kwargs):
_check_talib_presence()
_, phigh, plow, _, _ = _extract_ohlc(data)
return talib.AROONOSC(phigh, plow, **kwargs)