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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### This is an option split regression algorithm
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### </summary>
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### <meta name="tag" content="options" />
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### <meta name="tag" content="regression test" />
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class OptionRenameRegressionAlgorithm(QCAlgorithm):
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def initialize(self):
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self.set_cash(1000000)
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self.set_start_date(2013,6,28)
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self.set_end_date(2013,7,2)
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option = self.add_option("TFCFA")
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# set our strike/expiry filter for this option chain
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option.set_filter(-1, 1, timedelta(0), timedelta(3650))
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# use the underlying equity as the benchmark
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self.set_benchmark("TFCFA")
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def on_data(self, slice):
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''' Event - v3.0 DATA EVENT HANDLER: (Pattern) Basic template for user to override for receiving all subscription data in a single event
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<param name="slice">The current slice of data keyed by symbol string</param> '''
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if not self.portfolio.invested:
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for kvp in slice.option_chains:
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chain = kvp.value
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if self.time.day == 28 and self.time.hour > 9 and self.time.minute > 0:
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contracts = [i for i in sorted(chain, key=lambda x:x.expiry)
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if i.right == OptionRight.CALL and
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i.strike == 33 and
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i.expiry.date() == datetime(2013,8,17).date()]
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if contracts:
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# Buying option
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contract = contracts[0]
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self.buy(contract.symbol, 1)
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# Buy the undelying stock
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underlying_symbol = contract.symbol.underlying
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self.buy (underlying_symbol, 100)
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# check
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if float(contract.ask_price) != 1.1:
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raise ValueError("Regression test failed: current ask price was not loaded from NWSA backtest file and is not $1.1")
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elif self.time.day == 2 and self.time.hour > 14 and self.time.minute > 0:
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for kvp in slice.option_chains:
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chain = kvp.value
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self.liquidate()
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contracts = [i for i in sorted(chain, key=lambda x:x.expiry)
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if i.right == OptionRight.CALL and
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i.strike == 33 and
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i.expiry.date() == datetime(2013,8,17).date()]
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if contracts:
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contract = contracts[0]
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self.log("Bid Price" + str(contract.bid_price))
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if float(contract.bid_price) != 0.05:
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raise ValueError("Regression test failed: current bid price was not loaded from FOXA file and is not $0.05")
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def on_order_event(self, order_event):
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self.log(str(order_event))
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