Python talib.ULTOSC Examples

The following are 7 code examples of talib.ULTOSC(). 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: ta.py    From dash-technical-charting with MIT License 7 votes vote down vote up 
def add_ULTOSC(self, timeperiod=14, timeperiod2=14, timeperiod3=28,
               type='line', color='secondary', **kwargs):
    """Ultimate Oscillator."""

    if not (self.has_high and self.has_low and self.has_close):
        raise Exception()

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

    name = 'ULTOSC({})'.format(str(timeperiod),
                               str(timeperiod2),
                               str(timeperiod3))
    self.sec[name] = dict(type=type, color=color)
    self.ind[name] = talib.ULTOSC(self.df[self.hi].values,
                                  self.df[self.lo].values,
                                  self.df[self.cl].values,
                                  timeperiod,
                                  timeperiod2,
                                  timeperiod3)
Example #2
Source File: ultosc.py    From jesse with MIT License 6 votes vote down vote up 
def ultosc(candles: np.ndarray, timeperiod1=7, timeperiod2=14, timeperiod3=28, sequential=False) -> Union[
    float, np.ndarray]:
    """
    ULTOSC - Ultimate Oscillator

    :param candles: np.ndarray
    :param timeperiod1: int - default=7
    :param timeperiod2: int - default=14
    :param timeperiod3: int - default=28
    :param sequential: bool - default=False

    :return: float | np.ndarray
    """
    if not sequential and len(candles) > 240:
        candles = candles[-240:]

    res = talib.ULTOSC(candles[:, 3], candles[:, 4], candles[:, 2], timeperiod1=timeperiod1, timeperiod2=timeperiod2,
                       timeperiod3=timeperiod3)

    if sequential:
        return res
    else:
        return None if np.isnan(res[-1]) else res[-1]
Example #3
Source File: ta_indicator_mixin.py    From strategy with Apache License 2.0 5 votes vote down vote up 
def ultosc(self, sym, frequency, *args, **kwargs):
        if not self.kbars_ready(sym, frequency):
            return []

        highs = self.high(sym, frequency)
        lows = self.low(sym, frequency)
        closes = self.close(sym, frequency)

        return ta.ULTOSC(highs, lows, closes, *args, **kwargs)
Example #4
Source File: technical_indicator.py    From NowTrade with MIT License 5 votes vote down vote up 
def __str__(self):
        return 'ULTOSC(symbol=%s, period1=%s, period2=%s, period3=%s)' \
                %(self.symbol, self.period1, self.period2, self.period3)
Example #5
Source File: technical_indicator.py    From NowTrade with MIT License 5 votes vote down vote up 
def results(self, data_frame):
        try:
            ultosc = talib.ULTOSC(data_frame['%s_High' %self.symbol].values,
                                  data_frame['%s_Low' %self.symbol].values,
                                  data_frame['%s_Close' %self.symbol].values,
                                  timeperiod1=self.period1,
                                  timeperiod2=self.period2,
                                  timeperiod3=self.period3)
            data_frame[self.value] = ultosc
        except KeyError:
            data_frame[self.value] = np.nan
Example #6
Source File: test_indicator_momentum.py    From pandas-ta with MIT License 5 votes vote down vote up 
def test_uo(self):
        result = pandas_ta.uo(self.high, self.low, self.close)
        self.assertIsInstance(result, Series)
        self.assertEqual(result.name, 'UO_7_14_28')

        try:
            expected = tal.ULTOSC(self.high, self.low, 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)
Example #7
Source File: talib_indicators.py    From qtpylib with Apache License 2.0 5 votes vote down vote up 
def ULTOSC(data, **kwargs):
    _check_talib_presence()
    _, phigh, plow, pclose, _ = _extract_ohlc(data)
    return talib.ULTOSC(phigh, plow, pclose, **kwargs)