Files
catalyst/catalyst/protocol.py
T
Conner Fromknecht fce97176d6 Changed zipline -> catalyst import paths
* Updated cython build scripts
 * Updated setup.py to to install catalyst package
 * Updated momentum example to use catalyst package
 * catalyst executable now supports loading pipelines from multiple bundles
2017-06-19 14:43:10 -07:00

324 lines
9.0 KiB
Python

#
# Copyright 2016 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 warnings import warn
import pandas as pd
from catalyst.assets import Asset, Future
from catalyst.utils.input_validation import expect_types
from .utils.enum import enum
from catalyst._protocol import BarData # noqa
# 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',
'CLOSE_POSITION'
)
# Expected fields/index values for a dividend Series.
DIVIDEND_FIELDS = [
'declared_date',
'ex_date',
'gross_amount',
'net_amount',
'pay_date',
'payment_sid',
'ratio',
'sid',
]
# Expected fields/index values for a dividend payment Series.
DIVIDEND_PAYMENT_FIELDS = [
'id',
'payment_sid',
'cash_amount',
'share_count',
]
class Event(object):
def __init__(self, initial_values=None):
if initial_values:
self.__dict__.update(initial_values)
def keys(self):
return self.__dict__.keys()
def __eq__(self, other):
return hasattr(other, '__dict__') and self.__dict__ == other.__dict__
def __contains__(self, name):
return name in self.__dict__
def __repr__(self):
return "Event({0})".format(self.__dict__)
def to_series(self, index=None):
return pd.Series(self.__dict__, index=index)
def _deprecated_getitem_method(name, attrs):
"""Create a deprecated ``__getitem__`` method that tells users to use
getattr instead.
Parameters
----------
name : str
The name of the object in the warning message.
attrs : iterable[str]
The set of allowed attributes.
Returns
-------
__getitem__ : callable[any, str]
The ``__getitem__`` method to put in the class dict.
"""
attrs = frozenset(attrs)
msg = (
"'{name}[{attr!r}]' is deprecated, please use"
" '{name}.{attr}' instead"
)
def __getitem__(self, key):
"""``__getitem__`` is deprecated, please use attribute access instead.
"""
warn(msg.format(name=name, attr=key), DeprecationWarning, stacklevel=2)
if key in attrs:
return self.__dict__[key]
raise KeyError(key)
return __getitem__
class Order(Event):
# If you are adding new attributes, don't update this set. This method
# is deprecated to normal attribute access so we don't want to encourage
# new usages.
__getitem__ = _deprecated_getitem_method(
'order', {
'dt',
'sid',
'amount',
'stop',
'limit',
'id',
'filled',
'commission',
'stop_reached',
'limit_reached',
'created',
},
)
def asset_multiplier(asset):
return asset.multiplier if isinstance(asset, Future) else 1
class Portfolio(object):
def __init__(self):
self.capital_used = 0.0
self.starting_cash = 0.0
self.portfolio_value = 0.0
self.pnl = 0.0
self.returns = 0.0
self.cash = 0.0
self.positions = Positions()
self.start_date = None
self.positions_value = 0.0
def __repr__(self):
return "Portfolio({0})".format(self.__dict__)
# If you are adding new attributes, don't update this set. This method
# is deprecated to normal attribute access so we don't want to encourage
# new usages.
__getitem__ = _deprecated_getitem_method(
'portfolio', {
'capital_used',
'starting_cash',
'portfolio_value',
'pnl',
'returns',
'cash',
'positions',
'start_date',
'positions_value',
},
)
@property
def current_portfolio_weights(self):
"""
Compute each asset's weight in the portfolio by calculating its held
value divided by the total value of all positions.
Each equity's value is its price times the number of shares held. Each
futures contract's value is its unit price times number of shares held
times the multiplier.
"""
position_values = pd.Series({
asset: (
position.last_sale_price *
position.amount *
asset_multiplier(asset)
)
for asset, position in self.positions.items()
})
return position_values / self.portfolio_value
class Account(object):
'''
The account object tracks information about the trading account. The
values are updated as the algorithm runs and its keys remain unchanged.
If connected to a broker, one can update these values with the trading
account values as reported by the broker.
'''
def __init__(self):
self.settled_cash = 0.0
self.accrued_interest = 0.0
self.buying_power = float('inf')
self.equity_with_loan = 0.0
self.total_positions_value = 0.0
self.total_positions_exposure = 0.0
self.regt_equity = 0.0
self.regt_margin = float('inf')
self.initial_margin_requirement = 0.0
self.maintenance_margin_requirement = 0.0
self.available_funds = 0.0
self.excess_liquidity = 0.0
self.cushion = 0.0
self.day_trades_remaining = float('inf')
self.leverage = 0.0
self.net_leverage = 0.0
self.net_liquidation = 0.0
def __repr__(self):
return "Account({0})".format(self.__dict__)
# If you are adding new attributes, don't update this set. This method
# is deprecated to normal attribute access so we don't want to encourage
# new usages.
__getitem__ = _deprecated_getitem_method(
'account', {
'settled_cash',
'accrued_interest',
'buying_power',
'equity_with_loan',
'total_positions_value',
'total_positions_exposure',
'regt_equity',
'regt_margin',
'initial_margin_requirement',
'maintenance_margin_requirement',
'available_funds',
'excess_liquidity',
'cushion',
'day_trades_remaining',
'leverage',
'net_leverage',
'net_liquidation',
},
)
class Position(object):
@expect_types(asset=Asset)
def __init__(self, asset):
self.asset = asset
self.amount = 0
self.cost_basis = 0.0 # per share
self.last_sale_price = 0.0
self.last_sale_date = None
@property
def sid(self):
# for backwards compatibility
return self.asset
def __repr__(self):
return "Position({0})".format(self.__dict__)
# If you are adding new attributes, don't update this set. This method
# is deprecated to normal attribute access so we don't want to encourage
# new usages.
__getitem__ = _deprecated_getitem_method(
'position', {
'sid',
'amount',
'cost_basis',
'last_sale_price',
'last_sale_date',
},
)
# Copied from Position and renamed. This is used to handle cases where a user
# does something like `context.portfolio.positions[100]` instead of
# `context.portfolio.positions[sid(100)]`.
class _DeprecatedSidLookupPosition(object):
def __init__(self, sid):
self.sid = sid
self.amount = 0
self.cost_basis = 0.0 # per share
self.last_sale_price = 0.0
self.last_sale_date = None
def __repr__(self):
return "_DeprecatedSidLookupPosition({0})".format(self.__dict__)
# If you are adding new attributes, don't update this set. This method
# is deprecated to normal attribute access so we don't want to encourage
# new usages.
__getitem__ = _deprecated_getitem_method(
'position', {
'sid',
'amount',
'cost_basis',
'last_sale_price',
'last_sale_date',
},
)
class Positions(dict):
def __missing__(self, key):
if isinstance(key, Asset):
return Position(key)
elif isinstance(key, int):
warn("Referencing positions by integer is deprecated."
" Use an asset instead.")
else:
warn("Position lookup expected a value of type Asset but got {0}"
" instead.".format(type(key).__name__))
return _DeprecatedSidLookupPosition(key)