<gh_stars>1-10
import pytz
import pandas as pd
from datetime import datetime, time, timedelta, date
import pandas_market_calendars as mcal
from iexfinance.stocks import get_historical_intraday
import numpy as np


def TimeConvert(inDateTime, OutZone):
    from datetime import datetime
    import pytz

    #from_zone = pytz.utc
    to_zone = pytz.timezone(OutZone)

    return inDateTime.astimezone(to_zone)


def IsMarketOpen(DateTimeObj, ExchangeName):
    import pandas_market_calendars as mcal
    from pandas.tseries.offsets import BDay

    mkt = mcal.get_calendar(ExchangeName)
    tDate = DateTimeObj.date()
    dateRange = pd.bdate_range(start=tDate - BDay(1), end=tDate + BDay(1))
    mkt_hours = mkt.schedule(start_date=dateRange[0], end_date=dateRange[-1])

    return mkt.open_at_time(schedule=mkt_hours, timestamp=DateTimeObj, include_close=True)


def IsMarketOpen_pd(DateTimeObj, ExchangeName):
    import pandas_market_calendars as mcal
    from pandas.tseries.offsets import BDay

    mkt = mcal.get_calendar(ExchangeName)
    tDate = DateTimeObj.date()
    dateRange = pd.bdate_range(start=tDate - BDay(1), end=tDate + BDay(1))
    mkt_hours = mkt.schedule(start_date=dateRange[0], end_date=dateRange[-1])

    return mkt.open_at_time(schedule=mkt_hours, timestamp=pd.Timestamp(DateTimeObj, tz='America/New_York'), include_close=True)


def days_hours_mins_secs(TimeDeltaObj):
    '''
    Note that in Python 3 // is for integer division
    '''
    td = TimeDeltaObj
    hours, remainder = divmod(td.seconds, 3600)
    minutes, seconds = divmod(remainder, 60)

    return td.days, hours, minutes, seconds


def MarketDateAdj(DateObj, IntBusinessDays, ExchangeName):
    from datetime import datetime, time, timedelta
    import pandas_market_calendars as mcal
    from pandas.tseries.offsets import BDay

    mkt = mcal.get_calendar(ExchangeName)
    holidays = mkt.holidays()

    inDay = DateObj.date()
    outDay = inDay + BDay(IntBusinessDays)

    while outDay in holidays.holidays:
        outDay += BDay(np.sign(IntBusinessDays) * 1)

    return outDay


def GetTimeToMktOpen(DateTimeObj, ExchangeName, debugmode=False):
    import pandas_market_calendars as mcal
    from datetime import timedelta

    # let's standardize time to UTC
    dt_now = TimeConvert(DateTimeObj, 'UTC')
    mkt = mcal.get_calendar(ExchangeName)
    sch = mkt.schedule(start_date=dt_now.date(),
                       end_date=MarketDateAdj(dt_now, 1, ExchangeName))

    close_time = sch['market_close'][0]

    # determine today's open or next day's open
    l_which_open = [h > dt_now for h in sch['market_open']]
    if l_which_open[0]:
        open_time = sch['market_open'][0]
    else:
        open_time = sch['market_open'][1]

    if IsMarketOpen(DateTimeObj, ExchangeName):
        # Show Time to Market Close
        tdelta = close_time.to_pydatetime() - dt_now

        if debugmode:
            print(f'--- Market is Open ---\nClose Time is {close_time}, Time Now is {dt_now}')

        return {'status': 'open', 'd-h-m-s': days_hours_mins_secs(tdelta)}
    else:
        # Show Time to Next Market Open
        tdelta = open_time.to_pydatetime() - dt_now
        if debugmode:
            print(f'--- Market is Closed ---\nNext Open Time is {open_time}, Time Now is {dt_now}')
            print(f'\n--- Market Open Time ---\n{sch["market_open"]}')

        return {'status': 'closed', 'd-h-m-s': days_hours_mins_secs(tdelta)}

import pytz
import pandas as pd
from datetime import datetime, time, timedelta, date
import pandas_market_calendars as mcal
from iexfinance.stocks import get_historical_intraday
import numpy as np


def TimeConvert(inDateTime, OutZone):
    from datetime import datetime
    import pytz

    #from_zone = pytz.utc
    to_zone = pytz.timezone(OutZone)

    return inDateTime.astimezone(to_zone)


def IsMarketOpen(DateTimeObj, ExchangeName):
    import pandas_market_calendars as mcal
    from pandas.tseries.offsets import BDay

    mkt = mcal.get_calendar(ExchangeName)
    tDate = DateTimeObj.date()
    dateRange = pd.bdate_range(start=tDate - BDay(1), end=tDate + BDay(1))
    mkt_hours = mkt.schedule(start_date=dateRange[0], end_date=dateRange[-1])

    return mkt.open_at_time(schedule=mkt_hours, timestamp=DateTimeObj, include_close=True)


def IsMarketOpen_pd(DateTimeObj, ExchangeName):
    import pandas_market_calendars as mcal
    from pandas.tseries.offsets import BDay

    mkt = mcal.get_calendar(ExchangeName)
    tDate = DateTimeObj.date()
    dateRange = pd.bdate_range(start=tDate - BDay(1), end=tDate + BDay(1))
    mkt_hours = mkt.schedule(start_date=dateRange[0], end_date=dateRange[-1])

    return mkt.open_at_time(schedule=mkt_hours, timestamp=pd.Timestamp(DateTimeObj, tz='America/New_York'), include_close=True)


def days_hours_mins_secs(TimeDeltaObj):
    '''
    Note that in Python 3 // is for integer division
    '''
    td = TimeDeltaObj
    hours, remainder = divmod(td.seconds, 3600)
    minutes, seconds = divmod(remainder, 60)

    return td.days, hours, minutes, seconds


def MarketDateAdj(DateObj, IntBusinessDays, ExchangeName):
    from datetime import datetime, time, timedelta
    import pandas_market_calendars as mcal
    from pandas.tseries.offsets import BDay

    mkt = mcal.get_calendar(ExchangeName)
    holidays = mkt.holidays()

    inDay = DateObj.date()
    outDay = inDay + BDay(IntBusinessDays)

    while outDay in holidays.holidays:
        outDay += BDay(np.sign(IntBusinessDays) * 1)

    return outDay


def GetTimeToMktOpen(DateTimeObj, ExchangeName, debugmode=False):
    import pandas_market_calendars as mcal
    from datetime import timedelta

    # let's standardize time to UTC
    dt_now = TimeConvert(DateTimeObj, 'UTC')
    mkt = mcal.get_calendar(ExchangeName)
    sch = mkt.schedule(start_date=dt_now.date(),
                       end_date=MarketDateAdj(dt_now, 1, ExchangeName))

    close_time = sch['market_close'][0]

    # determine today's open or next day's open
    l_which_open = [h > dt_now for h in sch['market_open']]
    if l_which_open[0]:
        open_time = sch['market_open'][0]
    else:
        open_time = sch['market_open'][1]

    if IsMarketOpen(DateTimeObj, ExchangeName):
        # Show Time to Market Close
        tdelta = close_time.to_pydatetime() - dt_now

        if debugmode:
            print(f'--- Market is Open ---\nClose Time is {close_time}, Time Now is {dt_now}')

        return {'status': 'open', 'd-h-m-s': days_hours_mins_secs(tdelta)}
    else:
        # Show Time to Next Market Open
        tdelta = open_time.to_pydatetime() - dt_now
        if debugmode:
            print(f'--- Market is Closed ---\nNext Open Time is {open_time}, Time Now is {dt_now}')
            print(f'\n--- Market Open Time ---\n{sch["market_open"]}')

        return {'status': 'closed', 'd-h-m-s': days_hours_mins_secs(tdelta)}
#from_zone = pytz.utc Note that in Python 3 // is for integer division # let's standardize time to UTC # determine today's open or next day's open # Show Time to Market Close # Show Time to Next Market Open