Files
catalyst/tests/test_blotter.py
T
Scott Sanderson 119a1a4cda ENH: Update ordering API to support new ExecutionStyle class in favor of
existing `limit_price` and `stop_price` parameters.  The goal of this change is
to refactor the existing ordering API to provide a cleaner interface for
defining more complex order types.

Adds a new module, zipline.finance.execution, which defines the ExecutionStyle
abstract base class, along with concrete MarketOrder, LimitOrder, StopOrder,
and StopLimitOrder subclasses.

Adds a new `style` keyword argument to the function signature of the `order`
API method, which accepts an instance of ExecutionStyle.

The existing limit_price and stop_price parameters are still supported at this
time, but are converted into the new ExecutionStyle objects before being passed
to Blotter.order.
2014-04-22 23:22:21 -04:00

54 lines
1.5 KiB
Python

#
# Copyright 2014 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from nose_parameterized import parameterized
from unittest import TestCase
from zipline.finance.blotter import Blotter
from zipline.finance.execution import (
LimitOrder,
MarketOrder,
StopLimitOrder,
StopOrder,
)
from zipline.utils.test_utils import(
setup_logger,
teardown_logger,
)
class BlotterTestCase(TestCase):
def setUp(self):
setup_logger(self)
def tearDown(self):
teardown_logger(self)
@parameterized.expand([(MarketOrder(), None, None),
(LimitOrder(10), 10, None),
(StopOrder(10), None, 10),
(StopLimitOrder(10, 20), 10, 20)])
def test_blotter_order_types(self, style_obj, expected_lmt, expected_stp):
blotter = Blotter()
blotter.order(24, 100, style_obj)
result = blotter.open_orders[24][0]
self.assertEqual(result.limit, expected_lmt)
self.assertEqual(result.stop, expected_stp)