|
| 1 | +import datetime |
| 2 | + |
| 3 | +import pytz |
| 4 | + |
| 5 | +TZ = pytz.timezone("America/New_York") |
| 6 | + |
| 7 | +EQUITY_OPEN = datetime.time(9, 30, 0, tzinfo=TZ) |
| 8 | +EQUITY_CLOSE = datetime.time(16, 0, 0, tzinfo=TZ) |
| 9 | +EQUITY_EARLY_CLOSE = datetime.time(13, 0, 0, tzinfo=TZ) |
| 10 | + |
| 11 | +# EQUITY_HOLIDAYS and EQUITY_EARLY_HOLIDAYS will need to be updated each year |
| 12 | +# From https://www.nyse.com/markets/hours-calendars |
| 13 | +EQUITY_HOLIDAYS = [ |
| 14 | + datetime.datetime(2023, 1, 2, tzinfo=TZ).date(), |
| 15 | + datetime.datetime(2023, 1, 16, tzinfo=TZ).date(), |
| 16 | + datetime.datetime(2023, 2, 20, tzinfo=TZ).date(), |
| 17 | + datetime.datetime(2023, 4, 7, tzinfo=TZ).date(), |
| 18 | + datetime.datetime(2023, 5, 29, tzinfo=TZ).date(), |
| 19 | + datetime.datetime(2023, 6, 19, tzinfo=TZ).date(), |
| 20 | + datetime.datetime(2023, 7, 4, tzinfo=TZ).date(), |
| 21 | + datetime.datetime(2022, 9, 4, tzinfo=TZ).date(), |
| 22 | + datetime.datetime(2023, 11, 23, tzinfo=TZ).date(), |
| 23 | + datetime.datetime(2023, 12, 25, tzinfo=TZ).date(), |
| 24 | +] |
| 25 | +EQUITY_EARLY_HOLIDAYS = [ |
| 26 | + datetime.datetime(2023, 7, 3, tzinfo=TZ).date(), |
| 27 | + datetime.datetime(2023, 11, 24, tzinfo=TZ).date(), |
| 28 | +] |
| 29 | + |
| 30 | +FX_METAL_OPEN_CLOSE_TIME = datetime.time(17, 0, 0, tzinfo=TZ) |
| 31 | + |
| 32 | +# FX_METAL_HOLIDAYS will need to be updated each year |
| 33 | +# From https://www.cboe.com/about/hours/fx/ |
| 34 | +FX_METAL_HOLIDAYS = [ |
| 35 | + datetime.datetime(2023, 1, 1, tzinfo=TZ).date(), |
| 36 | + datetime.datetime(2023, 12, 25, tzinfo=TZ).date(), |
| 37 | +] |
| 38 | + |
| 39 | + |
| 40 | +def is_market_open(asset_type: str, dt: datetime.datetime) -> bool: |
| 41 | + day, date, time = dt.weekday(), dt.date(), dt.time() |
| 42 | + |
| 43 | + if asset_type == "equity": |
| 44 | + if date in EQUITY_HOLIDAYS or date in EQUITY_EARLY_HOLIDAYS: |
| 45 | + if ( |
| 46 | + date in EQUITY_EARLY_HOLIDAYS |
| 47 | + and time >= EQUITY_OPEN |
| 48 | + and time <= EQUITY_EARLY_CLOSE |
| 49 | + ): |
| 50 | + return True |
| 51 | + return False |
| 52 | + if day < 5 and time >= EQUITY_OPEN and time <= EQUITY_CLOSE: |
| 53 | + return True |
| 54 | + return False |
| 55 | + |
| 56 | + if asset_type in ["fx", "metal"]: |
| 57 | + if date in FX_METAL_HOLIDAYS: |
| 58 | + return False |
| 59 | + # On Friday the market is closed after 5pm |
| 60 | + if day == 4 and time > FX_METAL_OPEN_CLOSE_TIME: |
| 61 | + return False |
| 62 | + # On Saturday the market is closed all the time |
| 63 | + if day == 5: |
| 64 | + return False |
| 65 | + # On Sunday the market is closed before 5pm |
| 66 | + if day == 6 and time < FX_METAL_OPEN_CLOSE_TIME: |
| 67 | + return False |
| 68 | + |
| 69 | + return True |
| 70 | + |
| 71 | + # all other markets (crypto) |
| 72 | + return True |
| 73 | + |
| 74 | + |
| 75 | +def get_next_market_open(asset_type: str, dt: datetime.datetime) -> str: |
| 76 | + time = dt.time() |
| 77 | + |
| 78 | + if is_market_open(asset_type, dt): |
| 79 | + return dt.astimezone(pytz.UTC).strftime("%Y-%m-%dT%H:%M:%S") + "Z" |
| 80 | + |
| 81 | + if asset_type == "equity": |
| 82 | + if time < EQUITY_OPEN: |
| 83 | + next_market_open = dt.replace( |
| 84 | + hour=EQUITY_OPEN.hour, |
| 85 | + minute=EQUITY_OPEN.minute, |
| 86 | + second=0, |
| 87 | + microsecond=0, |
| 88 | + ) |
| 89 | + else: |
| 90 | + next_market_open = dt.replace( |
| 91 | + hour=EQUITY_OPEN.hour, |
| 92 | + minute=EQUITY_OPEN.minute, |
| 93 | + second=0, |
| 94 | + microsecond=0, |
| 95 | + ) |
| 96 | + next_market_open += datetime.timedelta(days=1) |
| 97 | + elif asset_type in ["fx", "metal"]: |
| 98 | + if time < FX_METAL_OPEN_CLOSE_TIME: |
| 99 | + next_market_open = dt.replace( |
| 100 | + hour=FX_METAL_OPEN_CLOSE_TIME.hour, |
| 101 | + minute=FX_METAL_OPEN_CLOSE_TIME.minute, |
| 102 | + second=0, |
| 103 | + microsecond=0, |
| 104 | + ) |
| 105 | + else: |
| 106 | + next_market_open = dt.replace( |
| 107 | + hour=FX_METAL_OPEN_CLOSE_TIME.hour, |
| 108 | + minute=FX_METAL_OPEN_CLOSE_TIME.minute, |
| 109 | + second=0, |
| 110 | + microsecond=0, |
| 111 | + ) |
| 112 | + next_market_open += datetime.timedelta(days=1) |
| 113 | + else: |
| 114 | + next_market_open = dt.replace(hour=0, minute=0, second=0, microsecond=0) |
| 115 | + next_market_open += datetime.timedelta(days=1) |
| 116 | + |
| 117 | + while not is_market_open(asset_type, next_market_open): |
| 118 | + next_market_open += datetime.timedelta(days=1) |
| 119 | + |
| 120 | + return next_market_open.astimezone(pytz.UTC).strftime("%Y-%m-%dT%H:%M:%S") + "Z" |
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