Python talib.MIDPRICE Examples

The following are 6 code examples of talib.MIDPRICE(). 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: talib_series.py    From QUANTAXIS with MIT License 6 votes vote down vote up 
def MAMA(Series, fastlimit=0.5, slowlimit=0.05):
    mama, fama = talib.MAMA(Series.values, fastlimit, slowlimit)
    return pd.Series(mama, index=Series.index), pd.Series(fama, index=Series.index)


# # MAVP - Moving average with variable period
# real = talib.MAVP(close, periods, minperiod=2, maxperiod=30, matype=0)

# # MIDPOINT - MidPoint over period
# real = talib.MIDPOINT(close, timeperiod=14)

# # MIDPRICE - Midpoint Price over period
# real = talib.MIDPRICE(high, low, timeperiod=14)


# # SAREXT - Parabolic SAR - Extended
# real = SAREXT(high, low, startvalue=0, offsetonreverse=0, accelerationinitlong=0,
#               accelerationlong=0, accelerationmaxlong=0, accelerationinitshort=0, accelerationshort=0, accelerationmaxshort=0)


# # T3 - Triple Exponential Moving Average (T3)
# real = T3(close, timeperiod=5, vfactor=0)

# # TEMA - Triple Exponential Moving Average
# real = TEMA(close, timeperiod=30)

# # TRIMA - Triangular Moving Average
# real = TRIMA(close, timeperiod=30)

# # WMA - Weighted Moving Average
# real = WMA(close, timeperiod=30)
Example #2
Source File: midprice.py    From jesse with MIT License 6 votes vote down vote up 
def midprice(candles: np.ndarray, period=14, sequential=False) -> Union[float, np.ndarray]:
    """
    MIDPRICE - Midpoint Price over period

    :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.MIDPRICE(candles[:, 3], candles[:, 4], timeperiod=period)

    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 mid_price(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.MIDPRICE(highs, lows, *args, **kwargs)

        return v
Example #4
Source File: talib_wrapper.py    From tia with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def MIDPRICE(frame, n=14, high_col='high', low_col='low'):
    return _frame_to_series(frame, [high_col, low_col], talib.MIDPRICE, n)
Example #5
Source File: test_indicator_overlap.py    From pandas-ta with MIT License 5 votes vote down vote up 
def test_midprice(self):
        result = pandas_ta.midprice(self.high, self.low)
        self.assertIsInstance(result, Series)
        self.assertEqual(result.name, 'MIDPRICE_2')

        try:
            expected = tal.MIDPRICE(self.high, self.low, 2)
            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 vote down vote up 
def MIDPRICE(data, **kwargs):
    _check_talib_presence()
    _, phigh, plow, _, _ = _extract_ohlc(data)
    return talib.MIDPRICE(phigh, plow, **kwargs)