Files
catalyst/zipline/protocol.py
T
Eddie Hebert 37c56b9aa4 MAINT: Use Series throughout for daily returns.
Remove the lists of DailyReturn objects in favor of using pd.Series
to store the return values.

Should make it easier to inspect the values when stepping through,
make the windowing of data to a certain range more facile by using,
and have some performance increases due to removing object creation
and member access.
2013-10-19 23:06:18 -04:00

184 lines
4.2 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 . utils.protocol_utils import Enum
# Datasource type should completely determine the other fields of a
# message with its type.
DATASOURCE_TYPE = Enum(
'AS_TRADED_EQUITY',
'MERGER',
'SPLIT',
'DIVIDEND',
'TRADE',
'TRANSACTION',
'ORDER',
'EMPTY',
'DONE',
'CUSTOM',
'BENCHMARK',
'COMMISSION'
)
class Event(object):
def __init__(self, initial_values=None):
if initial_values:
self.__dict__ = initial_values
def __getitem__(self, name):
return getattr(self, name)
def __setitem__(self, name, value):
setattr(self, name, value)
def __delitem__(self, name):
delattr(self, name)
def keys(self):
return self.__dict__.keys()
def __eq__(self, other):
return self.__dict__ == other.__dict__
def __contains__(self, name):
return name in self.__dict__
def __repr__(self):
return "Event({0})".format(self.__dict__)
class Order(Event):
pass
class Portfolio(object):
def __init__(self, initial_values=None):
if initial_values:
self.__dict__ = initial_values
def __getitem__(self, key):
return self.__dict__[key]
def __repr__(self):
return "Portfolio({0})".format(self.__dict__)
class Position(object):
def __init__(self, sid):
self.sid = sid
self.amount = 0
self.cost_basis = 0.0 # per share
self.last_sale_price = 0.0
def __getitem__(self, key):
return self.__dict__[key]
def __repr__(self):
return "Position({0})".format(self.__dict__)
class Positions(dict):
def __missing__(self, key):
pos = Position(key)
self[key] = pos
return pos
class SIDData(object):
def __init__(self, initial_values=None):
if initial_values:
self.__dict__ = initial_values
def __getitem__(self, name):
return self.__dict__[name]
def __setitem__(self, name, value):
self.__dict__[name] = value
def __len__(self):
return len(self.__dict__)
def __contains__(self, name):
return name in self.__dict__
def __repr__(self):
return "SIDData({0})".format(self.__dict__)
class BarData(object):
"""
Holds the event data for all sids for a given dt.
This is what is passed as `data` to the `handle_data` function.
Note: Many methods are analogues of dictionary because of historical
usage of what this replaced as a dictionary subclass.
"""
def __init__(self):
self._data = {}
self._contains_override = None
def __contains__(self, name):
if self._contains_override:
if self._contains_override(name):
return name in self._data
else:
return False
else:
return name in self._data
def has_key(self, name):
"""
DEPRECATED: __contains__ is preferred, but this method is for
compatibility with existing algorithms.
"""
return name in self
def __setitem__(self, name, value):
self._data[name] = value
def __getitem__(self, name):
return self._data[name]
def __delitem__(self, name):
del self._data[name]
def __iter__(self):
for sid, data in self._data.iteritems():
if len(data):
yield sid
def keys(self):
return self._data.keys()
def iterkeys(self):
return self._data.iterkeys()
def itervalues(self):
return self._data.itervalues()
def iteritems(self):
return self._data.iteritems()
def items(self):
return self._data.items()