<commit_before>Release 1.2.0
-------------

:Release: 1.2.0
:Date: TBD

Highlights
~~~~~~~~~~

Extensible Risk and Performance Metrics (:issue:`2081`)
```````````````````````````````````````````````````````

The risk and performance metrics are summarizing values calculated by Zipline
when running a simulation, for example: returns or Sharpe ratio. 1.1.2
introduces a new API for registering custom risk and performance metrics defined
by the user. We have also made it possible to run a backtest without computing
any metrics to improve the feedback cycle when debugging an algorithm.

For more information, see :ref:`metrics`.

Docs, Trading Calendars, and Benchmarks
```````````````````````````````````````<commit_msg>REL: 1.2.0 was released April 4, 2018<commit_after>Release 1.2.0
-------------

:Release: 1.2.0
:Date: April 4, 2018

Highlights
~~~~~~~~~~

Extensible Risk and Performance Metrics (:issue:`2081`)
```````````````````````````````````````````````````````

The risk and performance metrics are summarizing values calculated by Zipline
when running a simulation, for example: returns or Sharpe ratio. 1.1.2
introduces a new API for registering custom risk and performance metrics defined
by the user. We have also made it possible to run a backtest without computing
any metrics to improve the feedback cycle when debugging an algorithm.

For more information, see :ref:`metrics`.

Docs, Trading Calendars, and Benchmarks
```````````````````````````````````````
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