Python talib.DX Examples

The following are 8 code examples of talib.DX(). 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 6 votes vote down vote up 
def add_DX(self, timeperiod=14,
           type='line', color='secondary', **kwargs):
    """Directional Movement Index."""

    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 = 'DX({})'.format(str(timeperiod))
    self.sec[name] = dict(type=type, color=color)
    self.ind[name] = talib.DX(self.df[self.hi].values,
                              self.df[self.lo].values,
                              self.df[self.cl].values,
                              timeperiod)
Example #2
Source File: dx.py    From jesse with MIT License 6 votes vote down vote up 
def dx(candles: np.ndarray, period=14, sequential=False) -> Union[float, np.ndarray]:
    """
    DX - Directional Movement Index

    :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.DX(candles[:, 3], candles[:, 4], candles[:, 2], timeperiod=period)

    return res if sequential else res[-1]
Example #3
Source File: talib_indicators.py    From QUANTAXIS with MIT License 5 votes vote down vote up 
def DX(DataFrame, N=14):
    res = talib.DX(DataFrame.high.values, DataFrame.low.values, DataFrame.close.values, N)
    return pd.DataFrame({'DX': res}, index=DataFrame.index)


# SAR - Parabolic SAR
Example #4
Source File: ta_indicator_mixin.py    From strategy with Apache License 2.0 5 votes vote down vote up 
def dx(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)

        v = ta.DX(highs, lows, closes, *args, **kwargs)

        return v
Example #5
Source File: technical_indicator.py    From NowTrade with MIT License 5 votes vote down vote up 
def __str__(self):
        return 'DX(symbol=%s, period=%s)' %(self.symbol, self.period)
Example #6
Source File: technical_indicator.py    From NowTrade with MIT License 5 votes vote down vote up 
def results(self, data_frame):
        try:
            directional_index = talib.DX(data_frame['%s_High' %self.symbol].values,
                                         data_frame['%s_Low' %self.symbol].values,
                                         data_frame['%s_Close' %self.symbol].values,
                                         timeperiod=self.period)
            data_frame[self.value] = directional_index
        except KeyError:
            data_frame[self.value] = np.nan
Example #7
Source File: talib_wrapper.py    From tia with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def DX(frame, n=14, high_col='high', low_col='low', close_col='close'):
    return _frame_to_series(frame, [high_col, low_col, close_col], talib.DX, n)
Example #8
Source File: talib_indicators.py    From qtpylib with Apache License 2.0 5 votes vote down vote up 
def DX(data, **kwargs):
    _check_talib_presence()
    _, phigh, plow, pclose, _ = _extract_ohlc(data)
    return talib.DX(phigh, plow, pclose, **kwargs)