Ejemplo n.º 1
0
    def test_input_validation(self, arg):
        window_length = 52

        with pytest.raises(
                ValueError,
                match=f"{arg} must be <= the window_length: 53 > 52"):
            IchimokuKinkoHyo(**{arg: window_length + 1})
Ejemplo n.º 2
0
    def test_input_validation(self, arg):
        window_length = 52

        with self.assertRaises(ValueError) as e:
            IchimokuKinkoHyo(**{arg: window_length + 1})

        assert_equal(
            str(e.exception),
            '%s must be <= the window_length: 53 > 52' % arg,
        )
Ejemplo n.º 3
0
    def test_ichimoku_kinko_hyo(self):
        window_length = 52
        today = pd.Timestamp('2014', tz='utc')
        nassets = 5
        assets = pd.Index(np.arange(nassets))
        days_col = np.arange(window_length)[:, np.newaxis]
        highs = np.arange(nassets) + 2 + days_col
        closes = np.arange(nassets) + 1 + days_col
        lows = np.arange(nassets) + days_col

        tenkan_sen_length = 9
        kijun_sen_length = 26
        chikou_span_length = 26
        ichimoku_kinko_hyo = IchimokuKinkoHyo(
            window_length=window_length,
            tenkan_sen_length=tenkan_sen_length,
            kijun_sen_length=kijun_sen_length,
            chikou_span_length=chikou_span_length,
        )

        dtype = [
            ('tenkan_sen', 'f8'),
            ('kijun_sen', 'f8'),
            ('senkou_span_a', 'f8'),
            ('senkou_span_b', 'f8'),
            ('chikou_span', 'f8'),
        ]
        out = np.recarray(
            shape=(nassets,),
            dtype=dtype,
            buf=np.empty(shape=(nassets,), dtype=dtype),
        )
        ichimoku_kinko_hyo.compute(
            today,
            assets,
            out,
            highs,
            lows,
            closes,
            tenkan_sen_length,
            kijun_sen_length,
            chikou_span_length,
        )

        expected_tenkan_sen = np.array([
            (53 + 43) / 2,
            (54 + 44) / 2,
            (55 + 45) / 2,
            (56 + 46) / 2,
            (57 + 47) / 2,
        ])
        expected_kijun_sen = np.array([
            (53 + 26) / 2,
            (54 + 27) / 2,
            (55 + 28) / 2,
            (56 + 29) / 2,
            (57 + 30) / 2,
        ])
        expected_senkou_span_a = (expected_tenkan_sen + expected_kijun_sen) / 2
        expected_senkou_span_b = np.array([
            (53 + 0) / 2,
            (54 + 1) / 2,
            (55 + 2) / 2,
            (56 + 3) / 2,
            (57 + 4) / 2,
        ])
        expected_chikou_span = np.array([
            27.0,
            28.0,
            29.0,
            30.0,
            31.0,
        ])

        assert_equal(
            out.tenkan_sen,
            expected_tenkan_sen,
            msg='tenkan_sen',
        )
        assert_equal(
            out.kijun_sen,
            expected_kijun_sen,
            msg='kijun_sen',
        )
        assert_equal(
            out.senkou_span_a,
            expected_senkou_span_a,
            msg='senkou_span_a',
        )
        assert_equal(
            out.senkou_span_b,
            expected_senkou_span_b,
            msg='senkou_span_b',
        )
        assert_equal(
            out.chikou_span,
            expected_chikou_span,
            msg='chikou_span',
        )