Пример #1
0
def test_special_holidays():
    # 9/11
    # Sept 11, 12, 13, 14 2001
    nyse = NYSEExchangeCalendar()
    good_dates = nyse.valid_days('1985-01-01', '2016-12-31')
    assert pd.Timestamp("9/11/2001") not in good_dates
    assert pd.Timestamp("9/12/2001") not in good_dates
    assert pd.Timestamp("9/13/2001") not in good_dates
    assert pd.Timestamp("9/14/2001") not in good_dates

    # Hurricane Gloria
    # Sept 27, 1985
    assert pd.Timestamp("9/27/1985") not in good_dates

    # Hurricane Sandy
    # Oct 29, 30 2012
    assert pd.Timestamp("10/29/2012") not in good_dates
    assert pd.Timestamp("10/30/2012") not in good_dates

    # various national days of mourning
    # Gerald Ford - 1/2/2007
    assert pd.Timestamp("1/2/2007") not in good_dates

    # Ronald Reagan - 6/11/2004
    assert pd.Timestamp("6/11/2004") not in good_dates

    # Richard Nixon - 4/27/1994
    assert pd.Timestamp("4/27/1994") not in good_dates
Пример #2
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def test_2012():
    nyse = NYSEExchangeCalendar()
    # holidays we expect:
    holidays_2012 = [
        pd.Timestamp("2012-01-02", tz='UTC'),
        pd.Timestamp("2012-01-16", tz='UTC'),
        pd.Timestamp("2012-02-20", tz='UTC'),
        pd.Timestamp("2012-04-06", tz='UTC'),
        pd.Timestamp("2012-05-28", tz='UTC'),
        pd.Timestamp("2012-07-04", tz='UTC'),
        pd.Timestamp("2012-09-03", tz='UTC'),
        pd.Timestamp("2012-11-22", tz='UTC'),
        pd.Timestamp("2012-12-25", tz='UTC')
    ]

    for session_label in holidays_2012:
        assert session_label not in nyse.valid_days('2012-01-01', '2012-12-31')

    # early closes we expect:
    early_closes_2012 = [
        pd.Timestamp("2012-07-03", tz='UTC'),
        pd.Timestamp("2012-11-23", tz='UTC'),
        pd.Timestamp("2012-12-24", tz='UTC')
    ]

    expected = nyse.early_closes(nyse.schedule('2012-01-01', '2012-12-31'))
    assert len(expected) == 3
    for early_close_session_label in early_closes_2012:
        assert early_close_session_label in expected.index
Пример #3
0
def test_thanksgiving():
    """
    Check MarketCalendar Thanksgiving dates.
    """
    #     November 2005
    # Su Mo Tu We Th Fr Sa
    #        1  2  3  4  5
    #  6  7  8  9 10 11 12
    # 13 14 15 16 17 18 19
    # 20 21 22 23 24 25 26
    # 27 28 29 30

    nyse = NYSEExchangeCalendar()
    good_dates = nyse.valid_days('2001-01-01', '2016-12-31')

    # If Nov has 4 Thursdays, {0} Thanksgiving is the last Thursday.
    thanksgiving_with_four_weeks = pd.Timestamp("2005-11-24", tz='UTC')
    assert thanksgiving_with_four_weeks not in good_dates

    #     November 2006
    # Su Mo Tu We Th Fr Sa
    #           1  2  3  4
    #  5  6  7  8  9 10 11
    # 12 13 14 15 16 17 18
    # 19 20 21 22 23 24 25
    # 26 27 28 29 30

    # If Nov has 5 Thursdays, {0} Thanksgiving is not the last week.
    thanksgiving_with_five_weeks = pd.Timestamp("2006-11-23", tz='UTC')
    assert thanksgiving_with_five_weeks not in good_dates

    # If NYE falls on a weekend, {0} the Tuesday after is the first trading day.
    first_trading_day_after_new_years_sunday = pd.Timestamp("2012-01-03",
                                                            tz='UTC')
    assert first_trading_day_after_new_years_sunday in good_dates
def test_days_at_time_open():
    cal = NYSEExchangeCalendar()

    # check if market_open before/after 1985 is correct
    valid = cal.valid_days("1984-12-30", "1985-01-03")
    at_open = cal.days_at_time(valid, "market_open")

    assert_index_equal(
        at_open,
        pd.DatetimeIndex([
            '1984-12-31 10:00:00', '1985-01-02 09:30:00', '1985-01-03 09:30:00'
        ],
                         dtype='datetime64[ns]',
                         freq=None).tz_localize(cal.tz).tz_convert("UTC"))

    # check if it is rounded
    valid = cal.valid_days("1901-12-13", "1901-12-16")
    at_open = cal.days_at_time(valid, "market_open")

    assert_index_equal(
        at_open,
        pd.DatetimeIndex([
            '1901-12-13 10:00:00', '1901-12-14 10:00:00', '1901-12-16 10:00:00'
        ],
                         dtype='datetime64[ns]',
                         freq=None).tz_localize(cal.tz).tz_convert("UTC"))

    # check if chosen time is kept
    cal = NYSEExchangeCalendar(open_time=dt.time(9))
    at_open = cal.days_at_time(valid, "market_open")

    assert_index_equal(
        at_open,
        pd.DatetimeIndex([
            '1901-12-13 09:00:00', '1901-12-14 09:00:00', '1901-12-16 09:00:00'
        ],
                         dtype='datetime64[ns]',
                         freq=None).tz_localize(cal.tz).tz_convert("UTC"))
Пример #5
0
def test_new_years():
    """
    Check whether the MarketCalendar contains certain dates.
    """
    #     January 2012
    # Su Mo Tu We Th Fr Sa
    #  1  2  3  4  5  6  7
    #  8  9 10 11 12 13 14
    # 15 16 17 18 19 20 21
    # 22 23 24 25 26 27 28
    # 29 30 31

    nyse = NYSEExchangeCalendar()
    good_dates = nyse.valid_days('2001-01-01', '2016-12-31')

    # If New Years falls on a weekend, {0} the Monday after is a holiday.
    day_after_new_years_sunday = pd.Timestamp("2012-01-02", tz='UTC')
    assert day_after_new_years_sunday not in good_dates

    # If New Years falls on a weekend, {0} the Tuesday after is the first trading day.
    first_trading_day_after_new_years_sunday = pd.Timestamp("2012-01-03",
                                                            tz='UTC')
    assert first_trading_day_after_new_years_sunday in good_dates

    #     January 2013
    # Su Mo Tu We Th Fr Sa
    #        1  2  3  4  5
    #  6  7  8  9 10 11 12
    # 13 14 15 16 17 18 19
    # 20 21 22 23 24 25 26
    # 27 28 29 30 31

    # If New Years falls during the week, e.g. {0}, it is a holiday.
    new_years_day = pd.Timestamp("2013-01-01", tz='UTC')
    assert new_years_day not in good_dates

    # If the day after NYE falls during the week, {0} is the first trading day.
    first_trading_day_after_new_years = pd.Timestamp("2013-01-02", tz='UTC')
    assert first_trading_day_after_new_years in good_dates
def test_days_at_time_close():
    cal = NYSEExchangeCalendar()

    # test market_close before/after 1952-09-29
    valid = cal.valid_days("1952-09-26", "1952-09-30")
    at_close = cal.days_at_time(valid, "market_close")

    assert_index_equal(
        at_close,
        pd.DatetimeIndex([
            '1952-09-26 15:00:00', '1952-09-29 15:30:00', '1952-09-30 15:30:00'
        ],
                         dtype='datetime64[ns]',
                         freq=None).tz_localize(cal.tz).tz_convert("UTC"))

    # market_close before/after 1974-01-01
    valid = cal.valid_days("1973-12-28", "1974-01-02")
    at_close = cal.days_at_time(valid, "market_close")
    assert_index_equal(
        at_close,
        pd.DatetimeIndex([
            '1973-12-28 15:30:00', '1973-12-31 15:30:00', '1974-01-02 16:00:00'
        ],
                         dtype='datetime64[ns]',
                         freq=None).tz_localize(cal.tz).tz_convert("UTC"))

    # test all three market_closes
    valid = cal.valid_days("1952-09-26", "1974-01-02")
    at_close = cal.days_at_time(valid, "market_close").tz_convert(cal.tz)

    assert at_close[0] == pd.Timestamp('1952-09-26 15:00:00').tz_localize(
        cal.tz)
    assert at_close[1] == pd.Timestamp('1952-09-29 15:30:00').tz_localize(
        cal.tz)
    assert at_close[-2] == pd.Timestamp('1973-12-31 15:30:00').tz_localize(
        cal.tz)
    assert at_close[-1] == pd.Timestamp('1974-01-02 16:00:00').tz_localize(
        cal.tz)

    # test Saturday closes
    valid = cal.valid_days("1952-05-23", "1952-05-26")
    at_close = cal.days_at_time(valid, "market_close")

    assert_index_equal(
        at_close,
        pd.DatetimeIndex([
            '1952-05-23 15:00:00', '1952-05-24 12:00:00', '1952-05-26 15:00:00'
        ],
                         dtype='datetime64[ns]',
                         freq=None).tz_localize(cal.tz).tz_convert("UTC"))

    # check if it is rounded
    valid = cal.valid_days("1901-12-13", "1901-12-16")
    at_close = cal.days_at_time(valid, "market_close")

    assert_index_equal(
        at_close,
        pd.DatetimeIndex([
            '1901-12-13 15:00:00', '1901-12-14 12:00:00', '1901-12-16 15:00:00'
        ],
                         dtype='datetime64[ns]',
                         freq=None).tz_localize(cal.tz).tz_convert("UTC"))

    # check if chosen time is kept
    cal = NYSEExchangeCalendar(close_time=dt.time(10))
    at_close = cal.days_at_time(valid, "market_close")

    assert_index_equal(
        at_close,
        pd.DatetimeIndex([
            '1901-12-13 10:00:00', '1901-12-14 10:00:00', '1901-12-16 10:00:00'
        ],
                         dtype='datetime64[ns]',
                         freq=None).tz_localize(cal.tz).tz_convert("UTC"))