DOC: Clarify changes and fix formatting
DOC: Remove 1.0.3 whatsnew
DOC: More formatting
DOC: Remove superfluous info
DOC: Change deploy command
DOC: Fix typo
DOC: Add mention of winsorize factor
DOC: Change date of release
DOC: Remove date for now
DOC: Change release to development
When following the release guide, installing from testpypi using the
`-i` flag failed on my, and at least one other's, development machines.
The cause of the failure appears to be that pip would look for packages,
such as `LogBook` or `pandas` on `testpypi`. However many dependencies
do not have versions that meet our version criteria. (e.g. pandas does
not have a version between 0.16.0 and 0.18.0 on testpypi.)
Instead, use `--extra-index-url` so that other packages can use `pypi`
as a fallback server, instead of being limited to `testpypi`.
`future_chain` will be replaced by the as yet to be implemented method,
`data.current_chain`
Also removing `FutureChain` which will be replaced by another version
which only supports indexing and iteration.
* MAINT: Use TradingCalendar objects for bundles
Instead of trading days, opens, and closes, register now takes a
TradingCalendar object, along with a start_session and end_session. The
ingest function is now passed these values instead as well.
* Accept calendar name in addition to the actual object
* Updates bundles documentation for changes
* Fix typo in docs
* Use class formatting
* Force start_session and end_session within the bounds of the calendar
* Use UTC timestamps in test_core
* Document Trading Calendar API in appendix.rst
Usage: zipline ingest [OPTIONS]
Ingest the data for the given bundle.
Options:
-b, --bundle BUNDLE-NAME The data bundle to ingest. [default:
quantopian-quandl]
<...>
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.
This data bundle will use the quantopian mirror of the quandl WIKI data
instead of downloading from quandl directly. This dramatically improves
the speed because we do not pay the rate limiting for quandl and we can
send the data in the format zipline expects.
Freddie Vargus