C# Any way to get Time since market close?

Having trouble keeping track of how long market has been closed for in C# wrapper. Just curious if there is any way I can tell how long its been since trading was last opened.

It’s in Python not C#, but here is the response from Dan at Alpaca.

@alighten I see you are using the pandas_market_calendars package? Maybe consider using exchange_calendars instead. That has built in functionality to get the last close date and time (and many other handy methods). Simply do this

!pip install -q exchange_calendars import exchange_calendars as xcals 

# New York Stock Exchange calendar 
nyse = xcals.get_calendar("XNYS") 

today = pd.to_datetime('today') 
nyse.previous_close(today).tz_convert('America/New_York') 

# that will return something like this 
Timestamp('2023-05-31 16:00:00-0400', tz='America/New_York')

You should be able to do it directly from API.

async def update_market_status(seconds):
    while True:
        """
        Update the global market status and sleep until the market opens or closes.
    
        Args:
            initial_check (bool, optional): If True, only perform an initial market
                                             status check and do not sleep. Defaults to False.
        """
        # Access global variables
        global market_status_open
        global time_to_market_open
        global time_to_market_close

        # Set timezone to New York (Eastern Time)
        ET = pytz.timezone('America/New_York')

        logging.debug("update_market_status: Fetching clock data.")
        clock = api.get_clock()
        current_time = datetime.datetime.now(ET)
        logging.debug(f"update_market_status: Current time: {current_time}")

        if clock.is_open:
            logging.debug("update_market_status: Market is open.")
            market_status_open = True
            time_to_market_close = (clock.next_close - current_time).total_seconds()
            logging.debug(f'update_market_status: Next market close: {clock.next_close}, sleeping for {int(time_to_market_close)} seconds')


        else:
            logging.info("update_market_status: Market is closed.")
            market_status_open = False
            time_to_market_open = (clock.next_open - current_time).total_seconds()
            logging.debug(f'update_market_status: Next market open: {clock.next_open}, sleeping for {int(time_to_market_open)} seconds')
        await asyncio.sleep(seconds)