Market Sessions¶

A market time session object contains information about the current state of specific markets. It can be used to get the market opening and closing times and state.

The dataclass represents the current session and any nested ‘next’ or ‘previous’ session info.

The get_market_sessions function can be used to obtain information about the current session:

from tastytrade.market_sessions import ExchangeType, get_market_sessions
await get_market_sessions(session, exchanges=[ExchangeType.NYSE])

>>> [MarketSession(close_at=None, close_at_ext=None, instrument_collection='Equity', open_at=None, start_at=None, next_session=MarketSessionSnapshot(close_at=datetime.datetime(2025, 2, 18, 21, 0, tzinfo=TzInfo(UTC)), close_at_ext=datetime.datetime(2025, 2, 19, 1, 0, tzinfo=TzInfo(UTC)), instrument_collection='Equity', open_at=datetime.datetime(2025, 2, 18, 14, 30, tzinfo=TzInfo(UTC)), session_date=datetime.date(2025, 2, 18), start_at=datetime.datetime(2025, 2, 18, 13, 15, tzinfo=TzInfo(UTC))), previous_session=MarketSessionSnapshot(close_at=datetime.datetime(2025, 2, 14, 21, 0, tzinfo=TzInfo(UTC)), close_at_ext=datetime.datetime(2025, 2, 15, 1, 0, tzinfo=TzInfo(UTC)), instrument_collection='Equity', open_at=datetime.datetime(2025, 2, 14, 14, 30, tzinfo=TzInfo(UTC)), session_date=datetime.date(2025, 2, 14), start_at=datetime.datetime(2025, 2, 14, 13, 15, tzinfo=TzInfo(UTC))), status=<MarketStatus.CLOSED: 'Closed'>)]

The get_market_holidays function can be used to obtain information about markets half days and holidays:

from tastytrade.market_sessions import get_market_holidays
calendar = await Market.get_market_holidays(session)
print(calendar.half_days)
print(calendar.holidays)

>>> [datetime.date(2015, 12, 24), datetime.date(2016, 11, 25), datetime.date(2017, 7, 3), datetime.date(2017, 11, 24), datetime.date(2018, 7, 3), datetime.date(2018, 11, 23), datetime.date(2018, 12, 24), datetime.date(2019, 7, 3), datetime.date(2019, 11, 29), datetime.date(2019, 12, 24), datetime.date(2020, 11, 27), datetime.date(2020, 12, 24), datetime.date(2021, 11, 26), datetime.date(2022, 11, 25), datetime.date(2023, 7, 3), datetime.date(2023, 11, 24), datetime.date(2024, 7, 3), datetime.date(2024, 11, 29), datetime.date(2024, 12, 24), datetime.date(2025, 7, 3), datetime.date(2025, 11, 28), datetime.date(2025, 12, 24), datetime.date(2026, 11, 27), datetime.date(2026, 12, 24), datetime.date(2027, 7, 2), datetime.date(2027, 11, 26), datetime.date(2027, 12, 23), datetime.date(2028, 7, 3), datetime.date(2028, 11, 24), datetime.date(2028, 12, 22), datetime.date(2029, 7, 3)]
>>> [datetime.date(2015, 12, 25), datetime.date(2016, 1, 1), datetime.date(2016, 1, 18), datetime.date(2016, 2, 15), datetime.date(2016, 3, 25), datetime.date(2016, 5, 30), datetime.date(2016, 7, 4), datetime.date(2016, 9, 5), datetime.date(2016, 11, 24), datetime.date(2016, 12, 26), datetime.date(2017, 1, 2), datetime.date(2017, 1, 16), datetime.date(2017, 2, 20), datetime.date(2017, 4, 14), datetime.date(2017, 5, 29), datetime.date(2017, 7, 4), datetime.date(2017, 9, 4), datetime.date(2017, 11, 23), datetime.date(2017, 12, 25), datetime.date(2018, 1, 1), datetime.date(2018, 1, 15), datetime.date(2018, 2, 19), datetime.date(2018, 3, 30), datetime.date(2018, 5, 28), datetime.date(2018, 7, 4), datetime.date(2018, 9, 3), datetime.date(2018, 11, 22), datetime.date(2018, 12, 5), datetime.date(2018, 12, 25), datetime.date(2019, 1, 1), datetime.date(2019, 1, 21), datetime.date(2019, 2, 18), datetime.date(2019, 4, 19), datetime.date(2019, 5, 27), datetime.date(2019, 7, 4), datetime.date(2019, 9, 2), datetime.date(2019, 11, 28), datetime.date(2019, 12, 25), datetime.date(2020, 1, 1), datetime.date(2020, 1, 20), datetime.date(2020, 2, 17), datetime.date(2020, 4, 10), datetime.date(2020, 5, 25), datetime.date(2020, 7, 3), datetime.date(2020, 9, 7), datetime.date(2020, 11, 26), datetime.date(2020, 12, 25), datetime.date(2021, 1, 1), datetime.date(2021, 1, 18), datetime.date(2021, 2, 15), datetime.date(2021, 4, 2), datetime.date(2021, 5, 31), datetime.date(2021, 7, 5), datetime.date(2021, 9, 6), datetime.date(2021, 11, 25), datetime.date(2021, 12, 24), datetime.date(2022, 1, 17), datetime.date(2022, 2, 21), datetime.date(2022, 4, 15), datetime.date(2022, 5, 30), datetime.date(2022, 6, 20), datetime.date(2022, 7, 4), datetime.date(2022, 9, 5), datetime.date(2022, 11, 24), datetime.date(2022, 12, 26), datetime.date(2023, 1, 2), datetime.date(2023, 1, 16), datetime.date(2023, 2, 20), datetime.date(2023, 4, 7), datetime.date(2023, 5, 29), datetime.date(2023, 6, 19), datetime.date(2023, 7, 4), datetime.date(2023, 9, 4), datetime.date(2023, 11, 23), datetime.date(2023, 12, 25), datetime.date(2024, 1, 1), datetime.date(2024, 1, 15), datetime.date(2024, 2, 19), datetime.date(2024, 3, 29), datetime.date(2024, 5, 27), datetime.date(2024, 6, 19), datetime.date(2024, 7, 4), datetime.date(2024, 9, 2), datetime.date(2024, 11, 28), datetime.date(2024, 12, 25), datetime.date(2025, 1, 1), datetime.date(2025, 1, 9), datetime.date(2025, 1, 20), datetime.date(2025, 2, 17), datetime.date(2025, 4, 18), datetime.date(2025, 5, 26), datetime.date(2025, 6, 19), datetime.date(2025, 7, 4), datetime.date(2025, 9, 1), datetime.date(2025, 11, 27), datetime.date(2025, 12, 25), datetime.date(2026, 1, 1), datetime.date(2026, 1, 19), datetime.date(2026, 2, 16), datetime.date(2026, 4, 3), datetime.date(2026, 5, 25), datetime.date(2026, 6, 19), datetime.date(2026, 7, 3), datetime.date(2026, 9, 7), datetime.date(2026, 11, 26), datetime.date(2026, 12, 25), datetime.date(2027, 1, 1), datetime.date(2027, 1, 18), datetime.date(2027, 2, 15), datetime.date(2027, 3, 26), datetime.date(2027, 5, 31), datetime.date(2027, 6, 18), datetime.date(2027, 7, 5), datetime.date(2027, 9, 6), datetime.date(2027, 11, 25), datetime.date(2027, 12, 24), datetime.date(2028, 1, 17), datetime.date(2028, 2, 21), datetime.date(2028, 4, 14), datetime.date(2028, 5, 29), datetime.date(2028, 6, 19), datetime.date(2028, 7, 4), datetime.date(2028, 9, 4), datetime.date(2028, 11, 23), datetime.date(2028, 12, 25), datetime.date(2029, 1, 1), datetime.date(2029, 1, 15), datetime.date(2029, 2, 19), datetime.date(2029, 3, 30), datetime.date(2029, 5, 28), datetime.date(2029, 6, 19), datetime.date(2029, 7, 4), datetime.date(2029, 9, 3)]

I case you only want to extract the market status, this is one way to do it:

from tastytrade.market_sessions import ExchangeType, MarketStatus, get_market_sessions

market_sessions = await get_market_sessions(session, exchanges=[ExchangeType.NYSE, ExchangeType.CME])
print([ms.status != MarketStatus.CLOSED for ms in market_sessions])

>>> [False, False]