mirror of
https://github.com/wassname/catalyst.git
synced 2026-06-27 23:37:55 +08:00
Joe Jevnik
721dd36116
Renames zipline.utils.test_utils to zipline.testing Adds zipline.testing.fixtures.ZiplineTestCase to manage setup and teardown and adds mixins to define fixtures like an asset finder or trading calendar.
346 lines
12 KiB
Python
346 lines
12 KiB
Python
import pytz
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from datetime import datetime, timedelta
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from unittest import TestCase
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from zipline.algorithm import TradingAlgorithm
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from zipline.errors import TradingControlViolation
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from zipline.finance.trading import TradingEnvironment
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from zipline.sources import SpecificEquityTrades
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from zipline.testing import (
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add_security_data,
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security_list_copy,
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setup_logger,
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teardown_logger,
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)
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from zipline.utils import factory
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from zipline.utils.security_list import (
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SecurityListSet,
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load_from_directory,
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)
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LEVERAGED_ETFS = load_from_directory('leveraged_etf_list')
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class RestrictedAlgoWithCheck(TradingAlgorithm):
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def initialize(self, symbol):
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self.rl = SecurityListSet(self.get_datetime, self.asset_finder)
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self.set_do_not_order_list(self.rl.leveraged_etf_list)
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self.order_count = 0
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self.sid = self.symbol(symbol)
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def handle_data(self, data):
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if not self.order_count:
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if self.sid not in \
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self.rl.leveraged_etf_list:
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self.order(self.sid, 100)
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self.order_count += 1
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class RestrictedAlgoWithoutCheck(TradingAlgorithm):
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def initialize(self, symbol):
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self.rl = SecurityListSet(self.get_datetime, self.asset_finder)
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self.set_do_not_order_list(self.rl.leveraged_etf_list)
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self.order_count = 0
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self.sid = self.symbol(symbol)
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def handle_data(self, data):
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self.order(self.sid, 100)
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self.order_count += 1
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class IterateRLAlgo(TradingAlgorithm):
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def initialize(self, symbol):
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self.rl = SecurityListSet(self.get_datetime, self.asset_finder)
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self.set_do_not_order_list(self.rl.leveraged_etf_list)
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self.order_count = 0
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self.sid = self.symbol(symbol)
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self.found = False
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def handle_data(self, data):
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for stock in self.rl.leveraged_etf_list:
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if stock == self.sid:
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self.found = True
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class SecurityListTestCase(TestCase):
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@classmethod
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def setUpClass(cls):
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cls.env = TradingEnvironment()
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cls.env.write_data(equities_identifiers=['AAPL', 'GOOG', 'BZQ',
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'URTY', 'JFT'])
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@classmethod
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def tearDownClass(cls):
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del cls.env
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def setUp(self, env=None):
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self.extra_knowledge_date = \
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datetime(2015, 1, 27, 0, 0, tzinfo=pytz.utc)
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self.trading_day_before_first_kd = datetime(
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2015, 1, 23, 0, 0, tzinfo=pytz.utc)
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setup_logger(self)
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def tearDown(self):
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teardown_logger(self)
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def test_iterate_over_rl(self):
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sim_params = factory.create_simulation_parameters(
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start=list(LEVERAGED_ETFS.keys())[0], num_days=4, env=self.env)
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trade_history = factory.create_trade_history(
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'BZQ',
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[10.0, 10.0, 11.0, 11.0],
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[100, 100, 100, 300],
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timedelta(days=1),
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sim_params,
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env=self.env
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)
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self.source = SpecificEquityTrades(event_list=trade_history,
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env=self.env)
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algo = IterateRLAlgo(symbol='BZQ', sim_params=sim_params, env=self.env)
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algo.run(self.source)
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self.assertTrue(algo.found)
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def test_security_list(self):
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# set the knowledge date to the first day of the
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# leveraged etf knowledge date.
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def get_datetime():
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return list(LEVERAGED_ETFS.keys())[0]
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rl = SecurityListSet(get_datetime, self.env.asset_finder)
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# assert that a sample from the leveraged list are in restricted
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should_exist = [
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asset.sid for asset in
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[self.env.asset_finder.lookup_symbol(
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symbol,
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as_of_date=self.extra_knowledge_date)
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for symbol in ["BZQ", "URTY", "JFT"]]
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]
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for sid in should_exist:
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self.assertIn(sid, rl.leveraged_etf_list)
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# assert that a sample of allowed stocks are not in restricted
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shouldnt_exist = [
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asset.sid for asset in
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[self.env.asset_finder.lookup_symbol(
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symbol,
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as_of_date=self.extra_knowledge_date)
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for symbol in ["AAPL", "GOOG"]]
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]
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for sid in shouldnt_exist:
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self.assertNotIn(sid, rl.leveraged_etf_list)
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def test_security_add(self):
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def get_datetime():
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return datetime(2015, 1, 27, tzinfo=pytz.utc)
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with security_list_copy():
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add_security_data(['AAPL', 'GOOG'], [])
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rl = SecurityListSet(get_datetime, self.env.asset_finder)
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should_exist = [
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asset.sid for asset in
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[self.env.asset_finder.lookup_symbol(
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symbol,
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as_of_date=self.extra_knowledge_date
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) for symbol in ["AAPL", "GOOG", "BZQ", "URTY"]]
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]
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for sid in should_exist:
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self.assertIn(sid, rl.leveraged_etf_list)
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def test_security_add_delete(self):
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with security_list_copy():
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def get_datetime():
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return datetime(2015, 1, 27, tzinfo=pytz.utc)
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rl = SecurityListSet(get_datetime, self.env.asset_finder)
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self.assertNotIn("BZQ", rl.leveraged_etf_list)
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self.assertNotIn("URTY", rl.leveraged_etf_list)
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def test_algo_without_rl_violation_via_check(self):
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sim_params = factory.create_simulation_parameters(
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start=list(LEVERAGED_ETFS.keys())[0], num_days=4,
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env=self.env)
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trade_history = factory.create_trade_history(
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'BZQ',
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[10.0, 10.0, 11.0, 11.0],
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[100, 100, 100, 300],
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timedelta(days=1),
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sim_params,
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env=self.env
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)
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self.source = SpecificEquityTrades(event_list=trade_history,
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env=self.env)
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algo = RestrictedAlgoWithCheck(symbol='BZQ',
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sim_params=sim_params,
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env=self.env)
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algo.run(self.source)
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def test_algo_without_rl_violation(self):
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sim_params = factory.create_simulation_parameters(
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start=list(LEVERAGED_ETFS.keys())[0], num_days=4,
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env=self.env)
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trade_history = factory.create_trade_history(
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'AAPL',
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[10.0, 10.0, 11.0, 11.0],
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[100, 100, 100, 300],
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timedelta(days=1),
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sim_params,
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env=self.env
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)
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self.source = SpecificEquityTrades(event_list=trade_history,
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env=self.env)
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algo = RestrictedAlgoWithoutCheck(symbol='AAPL',
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sim_params=sim_params,
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env=self.env)
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algo.run(self.source)
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def test_algo_with_rl_violation(self):
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sim_params = factory.create_simulation_parameters(
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start=list(LEVERAGED_ETFS.keys())[0], num_days=4,
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env=self.env)
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trade_history = factory.create_trade_history(
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'BZQ',
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[10.0, 10.0, 11.0, 11.0],
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[100, 100, 100, 300],
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timedelta(days=1),
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sim_params,
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env=self.env
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)
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self.source = SpecificEquityTrades(event_list=trade_history,
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env=self.env)
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algo = RestrictedAlgoWithoutCheck(symbol='BZQ',
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sim_params=sim_params,
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env=self.env)
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with self.assertRaises(TradingControlViolation) as ctx:
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algo.run(self.source)
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self.check_algo_exception(algo, ctx, 0)
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# repeat with a symbol from a different lookup date
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trade_history = factory.create_trade_history(
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'JFT',
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[10.0, 10.0, 11.0, 11.0],
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[100, 100, 100, 300],
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timedelta(days=1),
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sim_params,
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env=self.env
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)
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self.source = SpecificEquityTrades(event_list=trade_history,
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env=self.env)
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algo = RestrictedAlgoWithoutCheck(symbol='JFT',
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sim_params=sim_params,
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env=self.env)
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with self.assertRaises(TradingControlViolation) as ctx:
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algo.run(self.source)
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self.check_algo_exception(algo, ctx, 0)
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def test_algo_with_rl_violation_after_knowledge_date(self):
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sim_params = factory.create_simulation_parameters(
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start=list(
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LEVERAGED_ETFS.keys())[0] + timedelta(days=7), num_days=5,
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env=self.env)
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trade_history = factory.create_trade_history(
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'BZQ',
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[10.0, 10.0, 11.0, 11.0],
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[100, 100, 100, 300],
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timedelta(days=1),
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sim_params,
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env=self.env
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)
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self.source = SpecificEquityTrades(event_list=trade_history,
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env=self.env)
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algo = RestrictedAlgoWithoutCheck(symbol='BZQ',
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sim_params=sim_params,
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env=self.env)
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with self.assertRaises(TradingControlViolation) as ctx:
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algo.run(self.source)
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self.check_algo_exception(algo, ctx, 0)
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def test_algo_with_rl_violation_cumulative(self):
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"""
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Add a new restriction, run a test long after both
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knowledge dates, make sure stock from original restriction
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set is still disallowed.
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"""
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sim_params = factory.create_simulation_parameters(
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start=list(
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LEVERAGED_ETFS.keys())[0] + timedelta(days=7), num_days=4)
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with security_list_copy():
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add_security_data(['AAPL'], [])
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trade_history = factory.create_trade_history(
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'BZQ',
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[10.0, 10.0, 11.0, 11.0],
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[100, 100, 100, 300],
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timedelta(days=1),
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sim_params,
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env=self.env,
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)
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self.source = SpecificEquityTrades(event_list=trade_history,
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env=self.env)
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algo = RestrictedAlgoWithoutCheck(
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symbol='BZQ', sim_params=sim_params, env=self.env)
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with self.assertRaises(TradingControlViolation) as ctx:
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algo.run(self.source)
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self.check_algo_exception(algo, ctx, 0)
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def test_algo_without_rl_violation_after_delete(self):
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with security_list_copy():
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# add a delete statement removing bzq
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# write a new delete statement file to disk
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add_security_data([], ['BZQ'])
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sim_params = factory.create_simulation_parameters(
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start=self.extra_knowledge_date, num_days=3)
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trade_history = factory.create_trade_history(
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'BZQ',
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[10.0, 10.0, 11.0, 11.0],
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[100, 100, 100, 300],
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timedelta(days=1),
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sim_params,
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env=self.env,
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)
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self.source = SpecificEquityTrades(event_list=trade_history,
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env=self.env)
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algo = RestrictedAlgoWithoutCheck(
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symbol='BZQ', sim_params=sim_params, env=self.env
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)
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algo.run(self.source)
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def test_algo_with_rl_violation_after_add(self):
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with security_list_copy():
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add_security_data(['AAPL'], [])
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sim_params = factory.create_simulation_parameters(
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start=self.trading_day_before_first_kd, num_days=4)
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trade_history = factory.create_trade_history(
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'AAPL',
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[10.0, 10.0, 11.0, 11.0],
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[100, 100, 100, 300],
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timedelta(days=1),
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sim_params,
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env=self.env
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)
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self.source = SpecificEquityTrades(event_list=trade_history,
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env=self.env)
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algo = RestrictedAlgoWithoutCheck(
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symbol='AAPL', sim_params=sim_params, env=self.env)
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with self.assertRaises(TradingControlViolation) as ctx:
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algo.run(self.source)
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self.check_algo_exception(algo, ctx, 2)
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def check_algo_exception(self, algo, ctx, expected_order_count):
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self.assertEqual(algo.order_count, expected_order_count)
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exc = ctx.exception
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self.assertEqual(TradingControlViolation, type(exc))
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exc_msg = str(ctx.exception)
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self.assertTrue("RestrictedListOrder" in exc_msg)
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