84 lines
4.0 KiB
Python
84 lines
4.0 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 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.universe_settings.resolution = Resolution.MINUTE
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self.set_start_date(2014, 6, 5)
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self.set_end_date(2014, 6, 9)
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self.set_cash(100000)
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# set framework models
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self.set_universe_selection(EarliestExpiringWeeklyAtTheMoneyPutOptionUniverseSelectionModel(self.select_option_chain_symbols))
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self.set_alpha(ConstantOptionContractAlphaModel(InsightType.PRICE, InsightDirection.UP, timedelta(hours = 0.5)))
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self.set_portfolio_construction(SingleSharePortfolioConstructionModel())
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self.set_execution(ImmediateExecutionModel())
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self.set_risk_management(NullRiskManagementModel())
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def select_option_chain_symbols(self, utc_time):
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new_york_time = Extensions.convert_from_utc(utc_time, TimeZones.NEW_YORK)
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ticker = "TWX" if new_york_time.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 option_chain_symbol_selector 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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.weeklys_only()
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.puts_only()
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.only_apply_filter_at_market_open())
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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 should_emit_insight(self, utc_time, symbol):
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# only emit alpha for option symbols and not underlying equity symbols
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if symbol.security_type != SecurityType.OPTION:
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return False
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return super().should_emit_insight(utc_time, 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 create_targets(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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