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Python talib.TEMA属性代码示例

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


在下文中一共展示了talib.TEMA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: tema

# 需要导入模块: import talib [as 别名]
# 或者: from talib import TEMA [as 别名]
def tema(candles: np.ndarray, period=9, source_type="close", sequential=False) -> Union[float, np.ndarray]:
    """
    TEMA - Triple Exponential Moving Average

    :param candles: np.ndarray
    :param period: int - default: 9
    :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.TEMA(source, timeperiod=period)

    return res if sequential else res[-1] 
开发者ID:jesse-ai,项目名称:jesse,代码行数:20,代码来源:tema.py

示例2: add_TEMA

# 需要导入模块: import talib [as 别名]
# 或者: from talib import TEMA [as 别名]
def add_TEMA(self, timeperiod=26,
             type='line', color='secondary', **kwargs):
    """Triple Moving Exponential Average."""

    if not self.has_close:
        raise Exception()

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

    name = 'TEMA({})'.format(str(timeperiod))
    self.pri[name] = dict(type=type, color=color)
    self.ind[name] = talib.TEMA(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3: sma

# 需要导入模块: import talib [as 别名]
# 或者: from talib import TEMA [as 别名]
def sma(dataframe, period, field='close'):
    import talib.abstract as ta
    return ta.SMA(dataframe, timeperiod=period, price=field)


# T3                   Triple Exponential Moving Average (T3)

# TEMA                 Triple Exponential Moving Average 
开发者ID:freqtrade,项目名称:technical,代码行数:10,代码来源:indicators.py

示例4: tema

# 需要导入模块: import talib [as 别名]
# 或者: from talib import TEMA [as 别名]
def tema(dataframe, period, field='close'):
    import talib.abstract as ta
    return ta.TEMA(dataframe, timeperiod=period, price=field)


# TRIMA                Triangular Moving Average
# WMA                  Weighted Moving Average

# Other Overlap Studies Functions 
开发者ID:freqtrade,项目名称:technical,代码行数:11,代码来源:indicators.py

示例5: test_tema

# 需要导入模块: import talib [as 别名]
# 或者: from talib import TEMA [as 别名]
def test_tema():
    '''test TA.TEMA'''

    ma = TA.TEMA(ohlc, 50)
    talib_ma = talib.TEMA(ohlc['close'], timeperiod=50)

    assert round(talib_ma[-1], 2) == round(ma.values[-1], 2) 
开发者ID:peerchemist,项目名称:finta,代码行数:9,代码来源:test_reg.py

示例6: TEMA

# 需要导入模块: import talib [as 别名]
# 或者: from talib import TEMA [as 别名]
def TEMA(series, n=5):
    return _series_to_series(series, talib.TEMA, n) 
开发者ID:bpsmith,项目名称:tia,代码行数:4,代码来源:talib_wrapper.py

示例7: test_tema

# 需要导入模块: import talib [as 别名]
# 或者: from talib import TEMA [as 别名]
def test_tema(self):
        result = pandas_ta.tema(self.close)
        self.assertIsInstance(result, Series)
        self.assertEqual(result.name, 'TEMA_10')

        try:
            expected = tal.TEMA(self.close, 10)
            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_overlap.py

示例8: TEMA

# 需要导入模块: import talib [as 别名]
# 或者: from talib import TEMA [as 别名]
def TEMA(data, **kwargs):
    _check_talib_presence()
    prices = _extract_series(data)
    return talib.TEMA(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.TEMA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。