* Updated cython build scripts
* Updated setup.py to to install catalyst package
* Updated momentum example to use catalyst package
* catalyst executable now supports loading pipelines from multiple bundles
BLD: Move setuptools_scm recipe earlier
in build process. We order alphabetically.
BLD: Update to newest Cython version
BLD: Update version of matplotlib
BLD: Pin matplotlib dependency
This format is intended for storing data for all sids of an asset type,
e.g. equities or futures for a session. bcolz is not used to avoid the overhead
of creating the directories and files for each asset (which numbers around ~8000
for active equities) can be removed since the update is meant to be read at
once, instead of supporting the random access pattern needed by the simulation.
This patch only adds the reader/writer pair, with the management of finding the
paths to delta files and the application of the updates to the bcolz write left
to internal loader code.
Also, the update reader interface is intentionally constrained to the data for
an entire session to allow for an implementation that allows for mid-session updates.
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
as well as tooling and docs to generate this for each release
Also moved Cython files to package_data, so that we install them,
instead of just packaging them.
Adds the data bundle concept which makes it easy for users to register
loading functions to build out minute and daily data along with an
assets db and adjustments db. By default we have provided a `quandl`
bundle which pulls from the public domain WIKI dataset. Users may
register new bundles by decorating an ingest function with
`zipline.data.bundles.register(<name>)`. This also provides a
`yahoo_equities` function for creating an ingestion function that will
load a static set of assets from yahoo.
The cli is now structured as a couple of subcommands and has been
changed to `python -m zipline`. The old behavior of `run_algo.py` has
been moved to the `run` subcommand. This is almost entirely the same
except that it now takes the name of the data bundle to use, defaulting
to `quandl`.
The next subcommand is `ingest` which takes the name of
a data bundle to ingest. This will run the loading machinery and write
the data to a specified location that `run` can find.
There is also a `clean` subcommand which deletes the data that was
written with `ingest`.
Extensions have also been added to zipline. This is an experimental
feature where users can provide an extra set of python files to run at
the start of the process. These can be used to configure aspects of
zipline. Right now the only thing that is supported in an extension file
is the registration of a new data bundle.
fredfortier