Python talib.ADOSC Examples
The following are 6
code examples of talib.ADOSC().
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Example #1
Source File: adosc.py From jesse with MIT License | 7 votes |
def adosc(candles: np.ndarray, fastperiod=3, slowperiod=10, sequential=False) -> Union[float, np.ndarray]: """ ADOSC - Chaikin A/D Oscillator :param candles: np.ndarray :param fastperiod: int - default: 3 :param slowperiod: int - default: 10 :param sequential: bool - default=False :return: float | np.ndarray """ if not sequential and len(candles) > 240: candles = candles[-240:] res = talib.ADOSC(candles[:, 3], candles[:, 4], candles[:, 2], candles[:, 5], fastperiod=fastperiod, slowperiod=slowperiod) if sequential: return res else: return None if np.isnan(res[-1]) else res[-1]
Example #2
Source File: talib_indicators.py From QUANTAXIS with MIT License | 6 votes |
def ADOSC(DataFrame, N1=3, N2=10): res = talib.ADOSC(DataFrame.high.values, DataFrame.low.values, DataFrame.close.values, DataFrame.volume.values, N1, N2) return pd.DataFrame({'ADOSC': res}, index=DataFrame.index)
Example #3
Source File: ta_indicator_mixin.py From strategy with Apache License 2.0 | 5 votes |
def adosc(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) volumes = self.volume(sym, frequency) v = ta.ADOSC(highs, lows, closes, volumes, *args, **kwargs) return v
Example #4
Source File: talib_wrapper.py From tia with BSD 3-Clause "New" or "Revised" License | 5 votes |
def ADOSC(frame, fast=3, slow=10, high_col='high', low_col='low', close_col='close', vol_col='Volume'): """Chaikin A/D oscillator""" return _frame_to_series(frame, [high_col, low_col, close_col, vol_col], talib.ADOSC, fast, slow)
Example #5
Source File: test_indicator_volume.py From pandas-ta with MIT License | 5 votes |
def test_adosc(self): result = pandas_ta.adosc(self.high, self.low, self.close, self.volume_) self.assertIsInstance(result, Series) self.assertEqual(result.name, 'ADOSC_3_10') try: expected = tal.ADOSC(self.high, self.low, self.close, self.volume_) 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 #6
Source File: talib_indicators.py From qtpylib with Apache License 2.0 | 5 votes |
def ADOSC(data, **kwargs): _check_talib_presence() popen, phigh, plow, pclose, pvolume = _extract_ohlc(data) return talib.ADOSC(popen, phigh, plow, pclose, pvolume, **kwargs)