本文整理汇总了Python中talib.PPO属性的典型用法代码示例。如果您正苦于以下问题：Python talib.PPO属性的具体用法？Python talib.PPO怎么用？Python talib.PPO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.PPO属性的5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: add_PPO
# 需要导入模块: import talib [as 别名]
# 或者: from talib import PPO [as 别名]
def add_PPO(self, fastperiod=12, slowperiod=26, matype=0,
type='line', color='secondary',
**kwargs):
"""Percent Price Oscillator."""
if not self.has_close:
raise Exception()
utils.kwargs_check(kwargs, VALID_TA_KWARGS)
if 'kind' in kwargs:
kwargs['type'] = kwargs['kind']
name = 'PPO({},{})'.format(str(fastperiod), str(slowperiod))
self.ind[name] = talib.PPO(self.df[self.cl].values,
fastperiod, slowperiod,
matype) 示例2: ppo
# 需要导入模块: import talib [as 别名]
# 或者: from talib import PPO [as 别名]
def ppo(candles: np.ndarray, fastperiod=12, slowperiod=26, matype=0, source_type="close", sequential=False) -> Union[
float, np.ndarray]:
"""
PPO - Percentage Price Oscillator
:param candles: np.ndarray
:param fastperiod: int - default: 12
:param slowperiod: int - default: 26
:param matype: int - default: 0
: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.PPO(source, fastperiod=fastperiod, slowperiod=slowperiod, matype=matype)
return res if sequential else res[-1] 示例3: PPO
# 需要导入模块: import talib [as 别名]
# 或者: from talib import PPO [as 别名]
def PPO(series, fast=12, slow=26, matype=0):
return _series_to_series(series, talib.PPO, fast, slow, matype) 示例4: test_ppo
# 需要导入模块: import talib [as 别名]
# 或者: from talib import PPO [as 别名]
def test_ppo(self):
result = pandas_ta.ppo(self.close)
self.assertIsInstance(result, DataFrame)
self.assertEqual(result.name, 'PPO_12_26_9')
try:
expected = tal.PPO(self.close)
pdt.assert_series_equal(result['PPO_12_26_9'], expected, check_names=False)
except AssertionError as ae:
try:
corr = pandas_ta.utils.df_error_analysis(result['PPO_12_26_9'], expected, col=CORRELATION)
self.assertGreater(corr, CORRELATION_THRESHOLD)
except Exception as ex:
error_analysis(result['PPO_12_26_9'], CORRELATION, ex) 示例5: PPO
# 需要导入模块: import talib [as 别名]
# 或者: from talib import PPO [as 别名]
def PPO(data, **kwargs):
_check_talib_presence()
prices = _extract_series(data)
return talib.PPO(prices, **kwargs)