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Python talib.CMO属性代码示例

本文整理汇总了Python中talib.CMO属性的典型用法代码示例。如果您正苦于以下问题:Python talib.CMO属性的具体用法?Python talib.CMO怎么用?Python talib.CMO使用的例子?那么, 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talib的用法示例。


在下文中一共展示了talib.CMO属性的8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: cmo

# 需要导入模块: import talib [as 别名]
# 或者: from talib import CMO [as 别名]
def cmo(candles: np.ndarray, period=14, source_type="close", sequential=False) -> Union[float, np.ndarray]:
    """
    CMO - Chande Momentum Oscillator

    :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.CMO(source, timeperiod=period)

    if sequential:
        return res
    else:
        return None if np.isnan(res[-1]) else res[-1] 
开发者ID:jesse-ai,项目名称:jesse,代码行数:23,代码来源:cmo.py

示例2: CMO

# 需要导入模块: import talib [as 别名]
# 或者: from talib import CMO [as 别名]
def CMO(Series, timeperiod=14):
    res = talib.CMO(Series.values, timeperiod)
    return pd.Series(res, index=Series.index) 
开发者ID:QUANTAXIS,项目名称:QUANTAXIS,代码行数:5,代码来源:talib_series.py

示例3: cmo

# 需要导入模块: import talib [as 别名]
# 或者: from talib import CMO [as 别名]
def cmo(self, sym, frequency, period=14):
        if not self.kbars_ready(sym, frequency):
            return []

        closes = self.close(sym, frequency)

        cmo = ta.CMO(closes, timeperiod=period)

        return cmo

    ## calculate two symbol's return correlation 
开发者ID:myquant,项目名称:strategy,代码行数:13,代码来源:ta_indicator_mixin.py

示例4: add_CMO

# 需要导入模块: import talib [as 别名]
# 或者: from talib import CMO [as 别名]
def add_CMO(self, timeperiod=14,
            type='line', color='secondary', **kwargs):
    """Chande Momentum Indicator."""

    if not self.has_close:
        raise Exception()

    utils.kwargs_check(kwargs, VALID_TA_KWARGS)
    if 'kind' in kwargs:
        type = kwargs['kind']

    name = 'CMO({})'.format(str(timeperiod))
    self.sec[name] = dict(type=type, color=color)
    self.ind[name] = talib.CMO(self.df[self.cl].values,
                               timeperiod) 
开发者ID:plotly,项目名称:dash-technical-charting,代码行数:17,代码来源:ta.py

示例5: test_cmo

# 需要导入模块: import talib [as 别名]
# 或者: from talib import CMO [as 别名]
def test_cmo():
    """test TA.CMO"""

    cmo = TA.CMO(ohlc, period=9)
    talib_cmo = talib.CMO(ohlc["close"], timeperiod=9)

    # assert round(talib_cmo[-1], 2) == round(cmo.values[-1], 2)
    # assert -35.99 == -35.66
    pass  # close enough 
开发者ID:peerchemist,项目名称:finta,代码行数:11,代码来源:test_reg.py

示例6: CMO

# 需要导入模块: import talib [as 别名]
# 或者: from talib import CMO [as 别名]
def CMO(series, n=14):
    """chande momentum oscillator"""
    return _series_to_series(series, talib.CMO, n) 
开发者ID:bpsmith,项目名称:tia,代码行数:5,代码来源:talib_wrapper.py

示例7: test_cmo

# 需要导入模块: import talib [as 别名]
# 或者: from talib import CMO [as 别名]
def test_cmo(self):
        result = pandas_ta.cmo(self.close)
        self.assertIsInstance(result, Series)
        self.assertEqual(result.name, 'CMO_14')

        try:
            expected = tal.CMO(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) 
开发者ID:twopirllc,项目名称:pandas-ta,代码行数:16,代码来源:test_indicator_momentum.py

示例8: CMO

# 需要导入模块: import talib [as 别名]
# 或者: from talib import CMO [as 别名]
def CMO(data, **kwargs):
    _check_talib_presence()
    prices = _extract_series(data)
    return talib.CMO(prices, **kwargs) 
开发者ID:ranaroussi,项目名称:qtpylib,代码行数:6,代码来源:talib_indicators.py


注:本文中的talib.CMO属性示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。