Exemplo n.º 1
0
def test_CDL3BLACKCROWS_pandas():
    o = pd.Series([39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 40.32, 40.51, 38.09, 35.00])
    h = pd.Series([40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 41.69, 40.84, 38.12, 35.50])
    l = pd.Series([35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 39.26, 36.73, 33.37, 30.03])
    c = pd.Series([40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.46, 37.08, 33.37, 30.03])

    r = stream.CDL3BLACKCROWS(o, h, l, c)
    assert r == -100
Exemplo n.º 2
0
def test_CDL3BLACKCROWS():
    o = np.array([39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 40.32, 40.51, 38.09, 35.00])
    h = np.array([40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 41.69, 40.84, 38.12, 35.50])
    l = np.array([35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 39.26, 36.73, 33.37, 30.03])
    c = np.array([40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.46, 37.08, 33.37, 30.03])

    r = stream.CDL3BLACKCROWS(o, h, l, c)
    assert_equals(r, -100)