Files
catalyst/zipline/transforms/returns.py
T
Eddie Hebert 8481e2df49 MAINT: Use Python 3 compatible metaclass.
Use six's with_metaclass to have objects that use metaclasses, in
both Python 2 and 3.

Otherwise, in Python 3 the objects were being treated as if they
did not have a metaclass, when the Python 2 syntax is used, leading
to errors because of missing attributes, etc.
2014-01-07 11:58:01 -05:00

103 lines
3.5 KiB
Python

#
# Copyright 2013 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 zipline.errors import WrongDataForTransform
from zipline.transforms.utils import TransformMeta
from collections import defaultdict, deque
from six import with_metaclass
class Returns(with_metaclass(TransformMeta)):
"""
Class that maintains a dictionary from sids to the sid's
closing price N trading days ago.
"""
def __init__(self, window_length):
self.window_length = window_length
self.mapping = defaultdict(self._create)
def update(self, event):
"""
Update and return the calculated returns for this event's sid.
"""
tracker = self.mapping[event.sid]
tracker.update(event)
return tracker.returns
def _create(self):
return ReturnsFromPriorClose(
self.window_length
)
class ReturnsFromPriorClose(object):
"""
Records the last N closing events for a given security as well as the
last event for the security. When we get an event for a new day, we
treat the last event seen as the close for the previous day.
"""
def __init__(self, window_length):
self.closes = deque()
self.last_event = None
self.returns = 0.0
self.window_length = window_length
def update(self, event):
self.assert_required_fields(event)
if self.last_event:
# Day has changed since the last event we saw. Treat
# the last event as the closing price for its day and
# clear out the oldest close if it has expired.
if self.last_event.dt.date() != event.dt.date():
self.closes.append(self.last_event)
# We keep an event for the end of each trading day, so
# if the number of stored events is greater than the
# number of days we want to track, the oldest close
# is expired and should be discarded.
while len(self.closes) > self.window_length:
# Pop the oldest event.
self.closes.popleft()
# We only generate a return value once we've seen enough days
# to give a sensible value. Would be nice if we could query
# db for closes prior to our initial event, but that would
# require giving this transform database creds, which we want
# to avoid.
if len(self.closes) == self.window_length:
last_close = self.closes[0].price
change = event.price - last_close
self.returns = change / last_close
# the current event is now the last_event
self.last_event = event
def assert_required_fields(self, event):
"""
We only allow events with a price field to be run through
the returns transform.
"""
if 'price' not in event:
raise WrongDataForTransform(
transform="ReturnsEventWindow",
fields='price')