Colton Sellers
33599b473d
Regression Tests / build (push) Has been cancelled
Build & Test Lean / build (push) Has been cancelled
* Move processing of delistings to Brokerage * Deal with case that exchange is not open on OptionSymbol.ID.Date * Refactor solution to use DelistingNotification event * Adjust some regression expected liquidation time * Mark some todos on deprecated functions * Update expected liqudation time for Py regressions * Update regressions that have been validated * Use HandlePositionAssigned for assignment orders * Update regressions * Update some missed unit tests; remove one that is already covered by regression * Cleanup deprecated backend functions * nit - small cleanup adjustment * Post rebase fix * Address review * Minor tweak to py regression
84 lines
3.9 KiB
Python
84 lines
3.9 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 AlgorithmImports import *
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from Alphas.ConstantAlphaModel import ConstantAlphaModel
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from Selection.OptionUniverseSelectionModel import OptionUniverseSelectionModel
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from Execution.ImmediateExecutionModel import ImmediateExecutionModel
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from Risk.NullRiskManagementModel import NullRiskManagementModel
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### <summary>
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### Basic template options framework algorithm uses framework components
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### to define an algorithm that trades options.
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### </summary>
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class BasicTemplateOptionsFrameworkAlgorithm(QCAlgorithm):
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def Initialize(self):
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self.UniverseSettings.Resolution = Resolution.Minute
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self.SetStartDate(2014, 6, 5)
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self.SetEndDate(2014, 6, 9)
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self.SetCash(100000)
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# set framework models
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self.SetUniverseSelection(EarliestExpiringWeeklyAtTheMoneyPutOptionUniverseSelectionModel(self.SelectOptionChainSymbols))
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self.SetAlpha(ConstantOptionContractAlphaModel(InsightType.Price, InsightDirection.Up, timedelta(hours = 0.5)))
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self.SetPortfolioConstruction(SingleSharePortfolioConstructionModel())
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self.SetExecution(ImmediateExecutionModel())
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self.SetRiskManagement(NullRiskManagementModel())
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def SelectOptionChainSymbols(self, utcTime):
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newYorkTime = Extensions.ConvertFromUtc(utcTime, TimeZones.NewYork)
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ticker = "TWX" if newYorkTime.date() < date(2014, 6, 6) else "AAPL"
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return [ Symbol.Create(ticker, SecurityType.Option, Market.USA, f"?{ticker}") ]
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class EarliestExpiringWeeklyAtTheMoneyPutOptionUniverseSelectionModel(OptionUniverseSelectionModel):
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'''Creates option chain universes that select only the earliest expiry ATM weekly put contract
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and runs a user defined optionChainSymbolSelector every day to enable choosing different option chains'''
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def __init__(self, select_option_chain_symbols):
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super().__init__(timedelta(1), select_option_chain_symbols)
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def Filter(self, filter):
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'''Defines the option chain universe filter'''
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return (filter.Strikes(+1, +1)
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# Expiration method accepts timedelta objects or integer for days.
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# The following statements yield the same filtering criteria
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.Expiration(0, 7)
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# .Expiration(timedelta(0), timedelta(7))
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.WeeklysOnly()
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.PutsOnly()
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.OnlyApplyFilterAtMarketOpen())
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class ConstantOptionContractAlphaModel(ConstantAlphaModel):
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'''Implementation of a constant alpha model that only emits insights for option symbols'''
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def __init__(self, type, direction, period):
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super().__init__(type, direction, period)
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def ShouldEmitInsight(self, utcTime, symbol):
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# only emit alpha for option symbols and not underlying equity symbols
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if symbol.SecurityType != SecurityType.Option:
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return False
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return super().ShouldEmitInsight(utcTime, symbol)
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class SingleSharePortfolioConstructionModel(PortfolioConstructionModel):
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'''Portfolio construction model that sets target quantities to 1 for up insights and -1 for down insights'''
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def CreateTargets(self, algorithm, insights):
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targets = []
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for insight in insights:
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targets.append(PortfolioTarget(insight.Symbol, insight.Direction))
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return targets
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