Retrieve asset types for a list of sids. Parameters ---------- sids : list[int] Returns -------

The low field's aggregation returns the smallest low seen between the market open and the current dt. If there has been no da

Top level zipline entry point.

Create an assertion error formatted for use in ``assert_equal``. Parameters ---------- assertion_message : str The concrete reaso

Returns a new AssetFinder Returns ------- asset_finder : zipline.assets.AssetFinder

Create daily pricing data. Parameters ---------- country_code : str An ISO 3166 alpha-2 country code. Da

Constructs an event rule from the factory api.

Create a DataFrame representing futures for `root_symbols` during `year`. Generates a contract per triple of (symbol, year, month) supplied

Make an event with a null event_date for all sids. Used to test that EventsLoaders filter out null events.

Given a dict of mappings where the values are lists of OwnershipPeriod objects, returns a dict with the same structure with new Ownership

Resample an array with minute data into an array with session data. This function assumes that the minute data is the exact length of all

Get the path to the most recent data after ``date``for the given bundle. Parameters ---------- bundle_name : str

Simple implementation of grouped row-wise function application. Parameters ---------- data : ndarray[ndim=2] Input array ove

Creates or returns a dataset from a blaze expression. Parameters ---------- expr : Expr The blaze expression representing th

A Filter producing True for values where this Factor is not NaN. Returns ------- nanfilter : zipline.pipeline.Filter

The open field's aggregation returns the first value that occurs for the day, if there has been no data on or before the `dt` the ope

Place an order to adjust a position to a target percent of the current portfolio value. If the position doesn't already exist, this is

Check if two ranges overlap. Parameters ---------- a : range The first range. b : range The second range. Retur

Apply a prefix to each line in s after the first.

Takes a callable and returns a tuple with the list of Argument objects, the name of *args, and the name of **kwargs. If *args

Efficient parsing for a 1d Pandas/numpy object containing string representations of dates. Note: pd.to_datetime is significa

Patch pandas.read_csv to map lookups from url to another. Parameters ---------- url_map : mapping[str or file-like object -> str or file-

Returns a cash payment based on the dividends that should be paid out according to the accumulated bookkeeping of earned, unpaid, and

Construct a factor that gives the number of occurrences of each distinct category in a classifier. Parameters ------

Get results of the pipeline attached by with name ``name``. Parameters ---------- name : str Name of the

Selects a singular or plural word based on the length of a sequence. Parameters ---------- singlular : str The string to use when

Construct the time series of prices that produce the given returns. Parameters ---------- returns : np.ndarray[float] The returns

Process the commission. Parameters ---------- commission : zp.Event The commission being paid.

Process dividends for the next session. This will earn us any dividends whose ex-date is the next session as well as paying out any d

Compute the number of shares and price to fill for ``order`` in the current minute. Parameters ---------- da

Processes a list of splits by modifying any positions as needed. Parameters ---------- splits: list[(Asset, float)]

Processes a list of splits by modifying any open orders as needed. Parameters ---------- splits: list A

Processes a list of splits by modifying any open orders as needed. Parameters ---------- splits: list A

Removes all given orders from the blotter's open_orders list. Parameters ---------- closed_orders: iterable of order