mirror of
https://github.com/wassname/catalyst.git
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fcf3e50cde
Add the ability for an algorithm to request the current contract for a
future chain via `data.current`.
e.g.:
```
data.current(ContinuousFuture('CL', offset=0, roll='calendar'),
'contract')
```
173 lines
6.5 KiB
Python
173 lines
6.5 KiB
Python
#
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# Copyright 2016 Quantopian, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from textwrap import dedent
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import pandas as pd
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from pandas import Timestamp, DataFrame
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from zipline import TradingAlgorithm
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from zipline.testing.fixtures import (
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WithCreateBarData,
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WithSimParams,
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ZiplineTestCase,
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)
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class ContinuousFuturesTestCase(WithCreateBarData,
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WithSimParams,
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ZiplineTestCase):
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START_DATE = pd.Timestamp('2015-01-05', tz='UTC')
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END_DATE = pd.Timestamp('2016-10-19', tz='UTC')
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SIM_PARAMS_START = pd.Timestamp('2016-01-25', tz='UTC')
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SIM_PARAMS_END = pd.Timestamp('2016-01-27', tz='UTC')
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SIM_PARAMS_DATA_FREQUENCY = 'minute'
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TRADING_CALENDAR_STRS = ('us_futures',)
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TRADING_CALENDAR_PRIMARY_CAL = 'us_futures'
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@classmethod
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def make_root_symbols_info(self):
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return pd.DataFrame({
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'root_symbol': ['FO'],
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'root_symbol_id': [1],
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'exchange': ['CME']})
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@classmethod
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def make_futures_info(self):
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return DataFrame({
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'symbol': ['FOF', 'FOG', 'FOH'],
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'root_symbol': ['FO', 'FO', 'FO'],
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'asset_name': ['Foo'] * 3,
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'start_date': [Timestamp('2015-01-05', tz='UTC'),
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Timestamp('2015-02-05', tz='UTC'),
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Timestamp('2015-03-05', tz='UTC')],
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'end_date': [Timestamp('2016-08-19', tz='UTC'),
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Timestamp('2016-09-19', tz='UTC'),
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Timestamp('2016-10-19', tz='UTC')],
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'notice_date': [Timestamp('2016-01-26', tz='UTC'),
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Timestamp('2016-02-26', tz='UTC'),
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Timestamp('2016-03-26', tz='UTC')],
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'expiration_date': [Timestamp('2016-01-26', tz='UTC'),
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Timestamp('2016-02-26', tz='UTC'),
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Timestamp('2016-03-26', tz='UTC')],
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'auto_close_date': [Timestamp('2016-01-26', tz='UTC'),
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Timestamp('2016-02-26', tz='UTC'),
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Timestamp('2016-03-26', tz='UTC')],
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'tick_size': [0.001] * 3,
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'multiplier': [1000.0] * 3,
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'exchange': ['CME'] * 3,
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})
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def test_create_continuous_future(self):
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cf_primary = self.asset_finder.create_continuous_future(
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'FO', 0, 'calendar')
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self.assertEqual(cf_primary.root_symbol, 'FO')
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self.assertEqual(cf_primary.offset, 0)
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self.assertEqual(cf_primary.roll_style, 'calendar')
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retrieved_primary = self.asset_finder.retrieve_asset(
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cf_primary.sid)
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self.assertEqual(retrieved_primary, cf_primary)
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cf_secondary = self.asset_finder.create_continuous_future(
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'FO', 1, 'calendar')
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self.assertEqual(cf_secondary.root_symbol, 'FO')
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self.assertEqual(cf_secondary.offset, 1)
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self.assertEqual(cf_secondary.roll_style, 'calendar')
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retrieved = self.asset_finder.retrieve_asset(
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cf_secondary.sid)
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self.assertEqual(retrieved, cf_secondary)
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self.assertNotEqual(cf_primary, cf_secondary)
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def test_current_contract(self):
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cf_primary = self.asset_finder.create_continuous_future(
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'FO', 0, 'calendar')
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bar_data = self.create_bardata(
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lambda: pd.Timestamp('2016-01-25', tz='UTC'))
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contract = bar_data.current(cf_primary, 'contract')
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self.assertEqual(contract.symbol, 'FOF')
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bar_data = self.create_bardata(
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lambda: pd.Timestamp('2016-01-26', tz='UTC'))
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contract = bar_data.current(cf_primary, 'contract')
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self.assertEqual(contract.symbol, 'FOG',
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'Auto close at beginning of session so FOG is now '
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'the current contract.')
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bar_data = self.create_bardata(
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lambda: pd.Timestamp('2016-01-27', tz='UTC'))
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contract = bar_data.current(cf_primary, 'contract')
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self.assertEqual(contract.symbol, 'FOG')
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def test_current_contract_in_algo(self):
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code = dedent("""
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from zipline.api import (
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record,
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continuous_future,
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schedule_function,
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get_datetime,
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)
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def initialize(algo):
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algo.primary_cl = continuous_future('FO', 0, 'calendar')
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algo.secondary_cl = continuous_future('FO', 1, 'calendar')
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schedule_function(record_current_contract)
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def record_current_contract(algo, data):
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record(datetime=get_datetime())
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record(primary=data.current(algo.primary_cl, 'contract'))
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record(secondary=data.current(algo.secondary_cl, 'contract'))
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""")
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algo = TradingAlgorithm(script=code,
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sim_params=self.sim_params,
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trading_calendar=self.trading_calendar,
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env=self.env)
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results = algo.run(self.data_portal)
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self.assertEqual(results.iloc[0].primary.symbol,
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'FOF',
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'Primary should be FOF on first session.')
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self.assertEqual(results.iloc[0].secondary.symbol,
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'FOG',
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'Secondary should be FOG on first session.')
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# Second day, primary should switch to FOG
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self.assertEqual(results.iloc[1].primary.symbol,
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'FOG',
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'Primary should be FOG on second session, auto close '
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'is at beginning of the session.')
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self.assertEqual(results.iloc[1].secondary.symbol,
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'FOH',
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'Secondary should be FOH on second session, auto '
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'close is at beginning of the session.')
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# Second day, primary should switch to FOG
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self.assertEqual(results.iloc[2].primary.symbol,
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'FOG',
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'Primary should remain as FOG on third session.')
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self.assertEqual(results.iloc[2].secondary.symbol,
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'FOH',
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'Secondary should remain as FOG on third session.')
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