Generates the schedule DataFrame. The resulting DataFrame will have all the valid business days as the index and columns for the requ

Returns a Normalized DatetimeIndex from the start-date to End-Date for Time periods of 1D and Higher. Unless using a custom calendar, it is

Determine if a given timestamp is during an open time for the market. If the timestamp is before the first open time or after the las

Get a DatetimeIndex of valid open business days. :param start_date: start date :param end_date: end date :param tz:

Returns the complete CustomBusinessDay object of holidays that can be used in any Pandas function that take that input. :ret

Create a list of (Session Start, Session End) Tuples

Changes the specified market time in regular_market_times and makes the necessary adjustments. :param market_time: the market_time t

Interpolates a Market's Schedule at the desired frequency and returns the result as a DatetimeIndex. This function is only valid for periods

Adds the specified market time to regular_market_times and makes the necessary adjustments. :param market_time: the market_time to a

Get a DataFrame of the dates that are an early close. :param schedule: schedule DataFrame :return: schedule DataFrame with r

Get a DatetimeIndex of valid open business days. :param start_date: start date :param end_date: end date :param tz:

Retrieves an instance of an MarketCalendar whose name is given. :param name: The name of the MarketCalendar to be retrieved. :param open

Get a DataFrame of the dates that are an late opens. :param schedule: schedule DataFrame :return: schedule DataFrame with ro

NYSE Market open on Saturdays pre 5/24/1952. CustomBusinessDay object that can be used inplace of holidays() for dates prior to cross

Removes the specified market time from regular_market_times and makes the necessary adjustments. :param market_time: the market_time

Adjust the behavior of the date_range() warnings to the desired action. :param action: - The desired change to the warning behavior

Strips the inputs of time and time zone information :param start_date: start date :param end_date: end date :return:

Create an index of days at time ``t``, interpreted in timezone ``tz``. The returned index is localized to UTC. In the example below,

Calculate a datetimeindex that only contains the specail times of the requested market time. :param market_time: market_time referen

Convert datetime columns/index to a common resolution for comparison.

Get source references for a calendar by name. :param calendar_name: The calendar name (e.g., 'NYSE', 'XNYS', 'LSE') :return: Tuple of So

Parses the information from an Insufficient Schedule Warning. :returns Tuple[bool, pd.Timestamp, pd.Timestamp]: bool: True == Range i

:param name: The name of the MarketCalendar to be retrieved. :param *args/**kwargs: passed to requested MarketCalendar.__init__

Create a CustomBusinessDay with the specified weekmask.

Return A DateRangeIndex of the Weekdays that mark either the start or end of each business week based on the 'closed' parameter. ** Argu

Convert a DatetimeIndex to microsecond resolution.

Check if date is the first Friday of the month

Parses a Missing Session Warning's Error Message. :returns Tuple[set[str], set[str]]: Set #1: The Missing Sessions Set #2: Th

Convert a datetime Series to microsecond resolution.

Calculate the number of timestamps needed for each trading session.

:param cls(RegisteryMeta): registration base class :param regcls(class): class to be registered :param name(str): name of the class to

Returns a Normalized DatetimeIndex from the start-date to End-Date for Time periods of 1D and Higher. PARAMETERS: :param fr

:param open_time: Market open time override as datetime.time object. If None then default is used. :param close_time: Market close ti

Apply special times to a schedule. A market time's own special value is authoritative. Open/close specials can still confor

Returns a Normalized DateTimeIndex of Open Business Days. Exactly two of the (start, end, periods) arguments must be given. ** Arguments

Interpolate each session into a datetime series at the desired frequency.

Course Trim the Session times to the desired period count. Large enough of a sub-routine to merit its own function call.

Used to get a more accurate estimate of the number of days per week

Standardize and Error Check Start, End, and period params

Reconfigure a schedule into a sorted dataframe of [start, end] times for each session

Union an iterable of pairs of the forms (time, calendar), (time, [dates]), and (time, int). If the second item in the pair is

Standardize the frequency multiplier and Code, throwing errors as needed.

Standardize start and end into a timestamp of the relevant timezone

All Market Calendar names and aliases that can be used in "factory" :return: list(str)