Add a test to directly cover the first_trading_day method via the
`test_resample` suite. (The lack of coverage was exposed when testing
against real data.)
Also, refactor resample bar tests so that session bar reader is set up
in instance fixture.
`1d` history calls were failing on key errors when using the
`us_futures` calendar, because of timestamps occuring before a midnight
would present the wrong midnight (i.e. the midnight before the session,
instead of the following midnight, which is the label for the current
session.)
Tests will follow when bringing up coverage on resample and data portal
modules.
For example, to prevent `alpha` from internally calling
`beta` a second time, pass the previously-calculated
`beta` value in.
Requires empyrical 0.1.10 from pypi
Combine the equity and future readers into asset dispatch readers, so
that simulations that use both asset types can access data for each.
This patch enables `history` for future assets in algorithms; however,
it does not add extra coverage in the `test_data_portal` or `test_history`
to cover future assets. Those tests will follow, however putting this in
separately since it shows that the wrapping of the readers in the asset
dispatch reader does not break existing equity strategies.
Add `AssetDispatchSessionBarReader` and corresponding minute and session
bar version of that reader.
This reader routes requests to the appropriate reader based on the asset
type of the requested sids.
`load_raw_array` in the dispatch reader batches the sid by asset type
and then interleaves the results in the out arrays, so that the arrays
data corresponds with sids in the order that sids are passed to the
method, to meet the expected behavior of `load_raw_arrays`.
The dispatch redaer is intended for use by the data portal when using
both future and equities. The dispatch reader will also be passed to the
to the `HistoryLoader`s contained within the data portal, where the
batched `load_raw_arrays` will be used.
Also, BUG:
- Fix the return of `MinuteResampleSessionBarReader.load_raw_arrays` to
match all other readers.
- Use the input dt for the `MinuteResampleSessionBarReader.load_raw_arrays`
as a session label, instead of a minute dt, since it is a session bar
reader.
(Both of these bugs where discovered when using the resample reader for
future data in the dispatch tests.)
Working towards history results which contain mixed asset types, add
a reader which makes `load_raw_arrays` return results indexed on the
session/minute ranges specified by the specified `trading_calendar`
instead of the calendar of the backing reader.
This reader will be used to make Equity readers align with Future
readers. It is intended for use as part of another reader (which will
dispatch queries based on asset type and then recombined results) which
will be passed to the `[Minute|Session]HistoryLoaders in the data portal.
For scaling up pricing data before writing to bcolz, the writer now
accepts a dict mapping each sid to the ratio to use. It still accepts a
single ratio as default_ohlc_ratio, which is used as a fallback if no
mapping exists for a given sid. The default is OHLC_RATIO (1000).
This allows better handling of futures pricing data, where the required
precision across root symbols is not consistent.
The daily/session bar reader's `spot_price` took the same parameters and
returned the same kind of output as the minute bar reader's `get_value`.
Standardize on one method to make a common interface, which may be
formally factored out in a later patch; to help enable writing reader
implementations or mixins which can be agnostic to the bar frequency.
Use the equity calendar to write equity data, even when the simulation
calendar has been set to a different calendar.
Discovered when writing a test that used a calendar for future asset
data, but also wrote equity data.
We were mistakenly using the minute_per_day field.
We now expose from the metadata object the version from which the
metadata was read. This allows a new test that verifies the version is
read correctly.
Jean Bredeche