chore: import upstream snapshot with attribution
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# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
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# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
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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 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 AlgorithmImports import *
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### <summary>
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### Demonstration algorithm of time in force order settings.
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### </summary>
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### <meta name="tag" content="using data" />
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### <meta name="tag" content="using quantconnect" />
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### <meta name="tag" content="trading and orders" />
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class TimeInForceAlgorithm(QCAlgorithm):
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# Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
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def initialize(self):
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self.set_start_date(2013,10,7)
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self.set_end_date(2013,10,11)
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self.set_cash(100000)
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# The default time in force setting for all orders is GoodTilCancelled (GTC),
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# uncomment this line to set a different time in force.
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# We currently only support GTC and DAY.
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# self.default_order_properties.time_in_force = TimeInForce.day
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self._symbol = self.add_equity("SPY", Resolution.MINUTE).symbol
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self._gtc_order_ticket1 = None
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self._gtc_order_ticket2 = None
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self._day_order_ticket1 = None
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self._day_order_ticket2 = None
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self._gtd_order_ticket1 = None
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self._gtd_order_ticket2 = None
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self._expected_order_statuses = {}
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# OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
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# Arguments:
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# data: Slice object keyed by symbol containing the stock data
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def on_data(self, data):
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if not self._gtc_order_ticket1:
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# These GTC orders will never expire and will not be canceled automatically.
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self.default_order_properties.time_in_force = TimeInForce.GOOD_TIL_CANCELED
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# this order will not be filled before the end of the backtest
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self._gtc_order_ticket1 = self.limit_order(self._symbol, 10, 100)
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self._expected_order_statuses[self._gtc_order_ticket1.order_id] = OrderStatus.SUBMITTED
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# this order will be filled before the end of the backtest
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self._gtc_order_ticket2 = self.limit_order(self._symbol, 10, 160)
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self._expected_order_statuses[self._gtc_order_ticket2.order_id] = OrderStatus.FILLED
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if not self._day_order_ticket1:
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# These DAY orders will expire at market close,
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# if not filled by then they will be canceled automatically.
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self.default_order_properties.time_in_force = TimeInForce.DAY
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# this order will not be filled before market close and will be canceled
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self._day_order_ticket1 = self.limit_order(self._symbol, 10, 140)
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self._expected_order_statuses[self._day_order_ticket1.order_id] = OrderStatus.CANCELED
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# this order will be filled before market close
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self._day_order_ticket2 = self.limit_order(self._symbol, 10, 180)
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self._expected_order_statuses[self._day_order_ticket2.order_id] = OrderStatus.FILLED
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if not self._gtd_order_ticket1:
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# These GTD orders will expire on October 10th at market close,
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# if not filled by then they will be canceled automatically.
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self.default_order_properties.time_in_force = TimeInForce.GOOD_TIL_DATE(datetime(2013, 10, 10))
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# this order will not be filled before expiry and will be canceled
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self._gtd_order_ticket1 = self.limit_order(self._symbol, 10, 100)
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self._expected_order_statuses[self._gtd_order_ticket1.order_id] = OrderStatus.CANCELED
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# this order will be filled before expiry
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self._gtd_order_ticket2 = self.limit_order(self._symbol, 10, 160)
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self._expected_order_statuses[self._gtd_order_ticket2.order_id] = OrderStatus.FILLED
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# Order event handler. This handler will be called for all order events, including submissions, fills, cancellations.
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# This method can be called asynchronously, ensure you use proper locks on thread-unsafe objects
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def on_order_event(self, orderEvent):
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self.debug(f"{self.time} {orderEvent}")
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# End of algorithm run event handler. This method is called at the end of a backtest or live trading operation.
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def on_end_of_algorithm(self):
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for orderId, expectedStatus in self._expected_order_statuses.items():
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order = self.transactions.get_order_by_id(orderId)
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if order.status != expectedStatus:
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raise AssertionError(f"Invalid status for order {orderId} - Expected: {expectedStatus}, actual: {order.status}")
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