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 regression algorithm checks if all the option chain data coming to the algo is consistent with current securities manager state
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### </summary>
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### <meta name="tag" content="regression test" />
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### <meta name="tag" content="options" />
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### <meta name="tag" content="using data" />
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### <meta name="tag" content="filter selection" />
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class OptionChainConsistencyRegressionAlgorithm(QCAlgorithm):
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underlying_ticker = "GOOG"
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def initialize(self):
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self.set_cash(10000)
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self.set_start_date(2015,12,24)
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self.set_end_date(2015,12,24)
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self.equity = self.add_equity(self.underlying_ticker)
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self.option = self.add_option(self.underlying_ticker)
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# set our strike/expiry filter for this option chain
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self.option.set_filter(self.universe_func)
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self.set_benchmark(self.equity.symbol)
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def on_data(self, slice):
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if self.portfolio.invested: return
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for kvp in slice.option_chains:
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chain = kvp.value
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for o in chain:
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if not self.securities.contains_key(o.symbol):
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self.log("Inconsistency found: option chains contains contract {0} that is not available in securities manager and not available for trading".format(o.symbol.value))
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contracts = filter(lambda x: x.expiry.date() == self.time.date() and
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x.strike < chain.underlying.price and
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x.right == OptionRight.CALL, chain)
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sorted_contracts = sorted(contracts, key = lambda x: x.strike, reverse = True)
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if len(sorted_contracts) > 2:
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self.market_order(sorted_contracts[2].symbol, 1)
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self.market_on_close_order(sorted_contracts[2].symbol, -1)
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# set our strike/expiry filter for this option chain
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def universe_func(self, universe):
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return universe.include_weeklys().strikes(-2, 2).expiration(timedelta(0), timedelta(10))
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def on_order_event(self, order_event):
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self.log(str(order_event))
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