Python talib.AROONOSC Examples
The following are 7
code examples of talib.AROONOSC().
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Example #1
Source File: ta_indicator_mixin.py From strategy with Apache License 2.0 | 6 votes |
def aroonosc(self, sym, frequency, *args, **kwargs): if not self.kbars_ready(sym, frequency): return [] highs = self.high(sym, frequency) lows = self.low(sym, frequency) v = ta.AROONOSC(highs, lows, *args, **kwargs) return v
Example #2
Source File: ta.py From dash-technical-charting with MIT License | 6 votes |
def add_AROONOSC(self, timeperiod=14, type='area', color='secondary', **kwargs): """Aroon Oscillator.""" if not (self.has_high and self.has_low): raise Exception() utils.kwargs_check(kwargs, VALID_TA_KWARGS) if 'kind' in kwargs: type = kwargs['kind'] name = 'AROONOSC({})'.format(str(timeperiod)) self.sec[name] = dict(type=type, color=color) self.ind[name] = talib.AROONOSC(self.df[self.hi].values, self.df[self.lo].values, timeperiod)
Example #3
Source File: aroonosc.py From jesse with MIT License | 6 votes |
def aroonosc(candles: np.ndarray, period=14, sequential=False) -> Union[float, np.ndarray]: """ AROONOSC - Aroon Oscillator :param candles: np.ndarray :param period: int - default=14 :param sequential: bool - default=False :return: float | np.ndarray """ if not sequential and len(candles) > 240: candles = candles[-240:] res = talib.AROONOSC(candles[:, 3], candles[:, 4], timeperiod=period) if sequential: return res else: return None if np.isnan(res[-1]) else res[-1]
Example #4
Source File: talib_indicators.py From QUANTAXIS with MIT License | 5 votes |
def AROONOSC(DataFrame, N=14): res = talib.AROONOSC(DataFrame.high.values, DataFrame.low.values, N) return pd.DataFrame({'AROONOSC': res}, index=DataFrame.index)
Example #5
Source File: talib_wrapper.py From tia with BSD 3-Clause "New" or "Revised" License | 5 votes |
def AROONOSC(frame, n=14, high_col='high', low_col='low'): return _frame_to_series(frame, [high_col, low_col], talib.AROONOSC, n)
Example #6
Source File: test_indicator_trend.py From pandas-ta with MIT License | 5 votes |
def test_aroon_osc(self): result = pandas_ta.aroon(self.high, self.low) try: expected = tal.AROONOSC(self.high, self.low) pdt.assert_series_equal(result.iloc[:,2], expected) except AssertionError as ae: try: aroond_corr = pandas_ta.utils.df_error_analysis(result.iloc[:,2], expected, col=CORRELATION) self.assertGreater(aroond_corr, CORRELATION_THRESHOLD) except Exception as ex: error_analysis(result.iloc[:,0], CORRELATION, ex)
Example #7
Source File: talib_indicators.py From qtpylib with Apache License 2.0 | 5 votes |
def AROONOSC(data, **kwargs): _check_talib_presence() _, phigh, plow, _, _ = _extract_ohlc(data) return talib.AROONOSC(phigh, plow, **kwargs)