Python talib.LINEARREG Examples
The following are 5
code examples of talib.LINEARREG().
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Example #1
Source File: linearreg.py From jesse with MIT License | 7 votes |
def linearreg(candles: np.ndarray, period=14, source_type="close", sequential=False) -> Union[float, np.ndarray]: """ LINEARREG - Linear Regression :param candles: np.ndarray :param period: int - default: 14 :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.LINEARREG(source, timeperiod=period) return res if sequential else res[-1]
Example #2
Source File: talib_series.py From QUANTAXIS with MIT License | 5 votes |
def LINEARREG(Series, timeperiod=14): res = talib.LINEARREG(Series.values, timeperiod) return pd.Series(res, index=Series.index)
Example #3
Source File: talib_wrapper.py From tia with BSD 3-Clause "New" or "Revised" License | 5 votes |
def LINEARREG(series, n=14): return _series_to_series(series, talib.LINEARREG, n)
Example #4
Source File: test_indicator_overlap.py From pandas-ta with MIT License | 5 votes |
def test_linreg(self): result = pandas_ta.linreg(self.close) self.assertIsInstance(result, Series) self.assertEqual(result.name, 'LR_14') try: expected = tal.LINEARREG(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 #5
Source File: talib_indicators.py From qtpylib with Apache License 2.0 | 5 votes |
def LINEARREG(data, **kwargs): _check_talib_presence() prices = _extract_series(data) return talib.LINEARREG(prices, **kwargs)