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Merge pull request #1644 from quantopian/closed-means-closed
Don't allow ordering assets after their auto close date
This commit is contained in:
+29
-13
@@ -4294,6 +4294,7 @@ class TestOrderAfterDelist(WithTradingEnvironment, ZiplineTestCase):
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def make_equity_info(cls):
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return pd.DataFrame.from_dict(
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{
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# Asset whose auto close date is after its end date.
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1: {
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'start_date': cls.start,
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'end_date': cls.day_1,
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@@ -4301,6 +4302,14 @@ class TestOrderAfterDelist(WithTradingEnvironment, ZiplineTestCase):
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'symbol': "ASSET1",
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'exchange': "TEST",
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},
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# Asset whose auto close date is before its end date.
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2: {
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'start_date': cls.start,
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'end_date': cls.day_4,
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'auto_close_date': cls.day_1,
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'symbol': 'ASSET2',
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'exchange': 'TEST',
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},
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},
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orient='index',
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)
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@@ -4310,7 +4319,13 @@ class TestOrderAfterDelist(WithTradingEnvironment, ZiplineTestCase):
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super(TestOrderAfterDelist, cls).init_class_fixtures()
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cls.data_portal = FakeDataPortal(cls.env)
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def test_order_in_quiet_period(self):
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@parameterized.expand([
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('auto_close_after_end_date', 1),
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('auto_close_before_end_date', 2),
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])
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def test_order_in_quiet_period(self, name, sid):
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asset = self.asset_finder.retrieve_asset(sid)
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algo_code = dedent("""
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from zipline.api import (
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sid,
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@@ -4326,13 +4341,13 @@ class TestOrderAfterDelist(WithTradingEnvironment, ZiplineTestCase):
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pass
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def handle_data(context, data):
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order(sid(1), 1)
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order_value(sid(1), 100)
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order_percent(sid(1), 0.5)
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order_target(sid(1), 50)
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order_target_percent(sid(1), 0.5)
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order_target_value(sid(1), 50)
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""")
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order(sid({sid}), 1)
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order_value(sid({sid}), 100)
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order_percent(sid({sid}), 0.5)
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order_target(sid({sid}), 50)
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order_target_percent(sid({sid}), 0.5)
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order_target_value(sid({sid}), 50)
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""").format(sid=sid)
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# run algo from 1/6 to 1/7
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algo = TradingAlgorithm(
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@@ -4356,11 +4371,12 @@ class TestOrderAfterDelist(WithTradingEnvironment, ZiplineTestCase):
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self.assertEqual(6 * 390, len(warnings))
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for w in warnings:
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self.assertEqual("Cannot place order for ASSET1, as it has "
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"de-listed. Any existing positions for this "
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"asset will be liquidated on "
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"2016-01-11 00:00:00+00:00.",
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w.message)
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expected_message = (
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'Cannot place order for ASSET{sid}, as it has de-listed. '
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'Any existing positions for this asset will be liquidated '
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'on {date}.'.format(sid=sid, date=asset.auto_close_date)
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)
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self.assertEqual(expected_message, w.message)
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class AlgoInputValidationTestCase(ZiplineTestCase):
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+41
-8
@@ -716,9 +716,9 @@ class TestMinuteBarData(WithCreateBarData,
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self.assertEqual(bar_data.can_trade(self.ASSET1), info[1])
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class TestMinuteBarDataMultipleExchanges(WithCreateBarData,
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WithBarDataChecks,
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ZiplineTestCase):
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class TestMinuteBarDataFuturesCalendar(WithCreateBarData,
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WithBarDataChecks,
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ZiplineTestCase):
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START_DATE = pd.Timestamp('2016-01-05', tz='UTC')
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END_DATE = ASSET_FINDER_EQUITY_END_DATE = pd.Timestamp(
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@@ -742,20 +742,29 @@ class TestMinuteBarDataMultipleExchanges(WithCreateBarData,
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return pd.DataFrame.from_dict(
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{
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6: {
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'symbol': 'CLG06',
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'symbol': 'CLH16',
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'root_symbol': 'CL',
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'start_date': pd.Timestamp('2005-12-01', tz='UTC'),
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'notice_date': pd.Timestamp('2005-12-20', tz='UTC'),
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'expiration_date': pd.Timestamp('2006-01-20', tz='UTC'),
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'start_date': pd.Timestamp('2016-01-04', tz='UTC'),
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'notice_date': pd.Timestamp('2016-01-19', tz='UTC'),
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'expiration_date': pd.Timestamp('2016-02-19', tz='UTC'),
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'exchange': 'ICEUS',
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},
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7: {
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'symbol': 'FVH16',
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'root_symbol': 'FV',
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'start_date': pd.Timestamp('2016-01-04', tz='UTC'),
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'notice_date': pd.Timestamp('2016-01-22', tz='UTC'),
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'expiration_date': pd.Timestamp('2016-02-22', tz='UTC'),
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'auto_close_date': pd.Timestamp('2016-01-20', tz='UTC'),
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'exchange': 'CME',
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},
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},
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orient='index',
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)
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@classmethod
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def init_class_fixtures(cls):
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super(TestMinuteBarDataMultipleExchanges, cls).init_class_fixtures()
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super(TestMinuteBarDataFuturesCalendar, cls).init_class_fixtures()
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cls.trading_calendar = get_calendar('CME')
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def test_can_trade_multiple_exchange_closed(self):
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@@ -808,6 +817,30 @@ class TestMinuteBarDataMultipleExchanges(WithCreateBarData,
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self.assertEqual(info[1], series.loc[nyse_asset])
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self.assertEqual(info[2], series.loc[ice_asset])
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def test_can_trade_delisted(self):
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"""
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Test that can_trade returns False for an asset on or after its auto
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close date.
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"""
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auto_closing_asset = self.asset_finder.retrieve_asset(7)
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# Our asset's auto close date is 2016-01-20, which means that as of the
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# market open for the 2016-01-20 session, `can_trade` should return
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# False.
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minutes_to_check = [
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(pd.Timestamp('2016-01-19 00:00:00', tz='UTC'), True),
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(pd.Timestamp('2016-01-19 23:00:00', tz='UTC'), True),
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(pd.Timestamp('2016-01-19 23:01:00', tz='UTC'), False),
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(pd.Timestamp('2016-01-19 23:59:00', tz='UTC'), False),
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(pd.Timestamp('2016-01-20 00:00:00', tz='UTC'), False),
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(pd.Timestamp('2016-01-20 00:01:00', tz='UTC'), False),
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(pd.Timestamp('2016-01-21 00:00:00', tz='UTC'), False),
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]
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for info in minutes_to_check:
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bar_data = self.create_bardata(simulation_dt_func=lambda: info[0])
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self.assertEqual(bar_data.can_trade(auto_closing_asset), info[1])
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class TestDailyBarData(WithCreateBarData,
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WithBarDataChecks,
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@@ -508,6 +508,9 @@ cdef class BarData:
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# asset isn't alive
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return False
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if asset.auto_close_date and session_label >= asset.auto_close_date:
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return False
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if not self._daily_mode:
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# Find the next market minute for this calendar, and check if this
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# asset's exchange is open at that minute.
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@@ -1348,10 +1348,10 @@ class TradingAlgorithm(object):
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if asset.auto_close_date:
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day = normalize_date(self.get_datetime())
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if asset.end_date < day < asset.auto_close_date:
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# we are between the asset's end date and auto close date,
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# so warn the user that they can't place an order for this
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# asset, and return None.
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if day > min(asset.end_date, asset.auto_close_date):
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# If we are after the asset's end date or auto close date, warn
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# the user that they can't place an order for this asset, and
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# return None.
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log.warn("Cannot place order for {0}, as it has de-listed. "
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"Any existing positions for this asset will be "
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"liquidated on "
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