AlexCatarino
72 lines
3.0 KiB
Python
72 lines
3.0 KiB
Python
# 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 clr import AddReference
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AddReference("System")
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AddReference("QuantConnect.Algorithm")
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AddReference("QuantConnect.Common")
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from System import *
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from QuantConnect import *
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from QuantConnect.Algorithm import *
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from QuantConnect.Securities.Option import OptionStrategies
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from datetime import datetime, timedelta
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### <summary>
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### This algorithm demonstrate how to use Option Strategies (e.g. OptionStrategies.Straddle) helper classes to batch send orders for common strategies.
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### It also shows how you can prefilter contracts easily based on strikes and expirations, and how you can inspect the
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### option chain to pick a specific option contract to trade.
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### </summary>
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### <meta name="tag" content="using data" />
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### <meta name="tag" content="options" />
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### <meta name="tag" content="option strategies" />
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### <meta name="tag" content="filter selection" />
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class BasicTemplateOptionStrategyAlgorithm(QCAlgorithm):
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def Initialize(self):
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# Set the cash we'd like to use for our backtest
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self.SetCash(1000000)
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# Start and end dates for the backtest.
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self.SetStartDate(2015,12,24)
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self.SetEndDate(2015,12,24)
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# Add assets you'd like to see
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option = self.AddOption("GOOG")
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self.option_symbol = option.Symbol
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# set our strike/expiry filter for this option chain
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# SetFilter method accepts timedelta objects or integer for days.
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# The following statements yeild the same filtering criteria
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option.SetFilter(-2, +2, 0, 180)
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# option.SetFilter(-2,2, timedelta(0), timedelta(180))
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# use the underlying equity as the benchmark
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self.SetBenchmark("GOOG")
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def OnData(self,slice):
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if not self.Portfolio.Invested:
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for kvp in slice.OptionChains:
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chain = kvp.Value
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contracts = sorted(sorted(chain, key = lambda x: abs(chain.Underlying.Price - x.Strike)),
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key = lambda x: x.Expiry, reverse=False)
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if len(contracts) == 0: continue
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atmStraddle = contracts[0]
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if atmStraddle != None:
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self.Sell(OptionStrategies.Straddle(self.option_symbol, atmStraddle.Strike, atmStraddle.Expiry), 2)
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else:
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self.Liquidate()
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def OnOrderEvent(self, orderEvent):
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self.Log(str(orderEvent)) |