Python talib.TEMA Examples

The following are 8 code examples of talib.TEMA(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module talib , or try the search function .
Example #1
Source File: tema.py    From jesse with MIT License 7 votes vote down vote up 
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]
Example #2
Source File: test_indicator_overlap.py    From pandas-ta with MIT License 6 votes vote down vote up 
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)
Example #3
Source File: ta.py    From dash-technical-charting with MIT License 5 votes vote down vote up 
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)
Example #4
Source File: indicators.py    From technical with GNU General Public License v3.0 5 votes vote down vote up 
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
Example #5
Source File: indicators.py    From technical with GNU General Public License v3.0 5 votes vote down vote up 
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
Example #6
Source File: test_reg.py    From finta with GNU Lesser General Public License v3.0 5 votes vote down vote up 
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)
Example #7
Source File: talib_wrapper.py    From tia with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def TEMA(series, n=5):
    return _series_to_series(series, talib.TEMA, n)
Example #8
Source File: talib_indicators.py    From qtpylib with Apache License 2.0 5 votes vote down vote up 
def TEMA(data, **kwargs):
    _check_talib_presence()
    prices = _extract_series(data)
    return talib.TEMA(prices, **kwargs)