Update options filter universe API to use OptionUniverse data
Add new filter methods for greeks, IV and open interest
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+5
-3
@@ -37,16 +37,18 @@ class AddFutureOptionSingleOptionChainSelectedInUniverseFilterRegressionAlgorith
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def option_contract_universe_filter_function(self, option_contracts: OptionFilterUniverse) -> OptionFilterUniverse:
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self.option_filter_ran = True
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expiry = list(set([x.underlying.id.date for x in option_contracts]))
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symbols = option_contracts.get_symbols()
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expiry = list(set([x.underlying.id.date for x in symbols]))
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expiry = None if not any(expiry) else expiry[0]
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symbol = [x.underlying for x in option_contracts]
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symbol = [x.underlying for x in symbols]
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symbol = None if not any(symbol) else symbol[0]
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if expiry is None or symbol is None:
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raise AssertionError("Expected a single Option contract in the chain, found 0 contracts")
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enumerator = option_contracts.get_enumerator()
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enumerator = symbols.get_enumerator()
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while enumerator.move_next():
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self.expected_symbols_received.append(enumerator.current)
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@@ -0,0 +1,117 @@
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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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### Regression algorithm with new proposed option filter API using new options universe data (greeks, implied volatility, open interest, etc).
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### </summary>
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class BasicTemplateOptionsFilterAlgorithm(QCAlgorithm):
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underlying_ticker = "GOOG"
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def initialize(self):
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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.set_cash(100000)
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equity = self.add_equity(self.underlying_ticker)
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option = self.add_option(self.underlying_ticker)
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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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option.set_filter(lambda u: u.strikes(-2, +2).expiration(0, 180))
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# Filter by a single greek:
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option.set_filter(lambda u: u
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.strikes(-2, +2)
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.expiration(0, 180)
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.delta(0.64, 0.65))
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# Filter by multiple greeks:
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option.set_filter(lambda u: u
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.strikes(-2, +2)
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.expiration(0, 180)
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.delta(0.64, 0.65)
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.gamma(0.0008, 0.0010)
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.vega(7.5, 10.5)
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.theta(-1.10, -0.50)
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.rho(4, 10))
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# Some syntax sugar:
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option.set_filter(lambda u: u
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.strikes(-2, +2)
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.expiration(0, 180)
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.d(0.64, 0.65)
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.g(0.0008, 0.0010)
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.v(7.5, 10.5)
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.t(-1.10, -0.50)
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.r(4, 10))
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# Filter by open interest and/or implied volatility:
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option.set_filter(lambda u: u
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.strikes(-2, +2)
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.expiration(0, 180)
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.open_interest(100, 1000)
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.implied_volatility(0.10, 0.20))
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# Some syntax sugar:
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option.set_filter(lambda u: u
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.strikes(-2, +2)
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.expiration(0, 180)
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.oi(100, 1000)
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.iv(0.10, 0.20))
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# Having delegate filters with the whole contract data.
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# We can reuse the OptionContract class for this. Might need some work on that side
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# (new constructors/factor methods, some abstraction to not rely on the option price mode, etc) but it's a good idea.
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# EXAMPLES:
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option.set_filter(lambda u: u
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.strikes(-2, +2)
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.expiration(0, 180)
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.contracts(self.contracts_filter)) # def contracts_filter(self, contracts: list[OptionContract]) -> list[Symbol]:
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option.set_filter(lambda u: u
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.strikes(-2, +2)
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.expiration(0, 180)
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.select(self.select_contract)) # def select_contract(self, contract: OptionContract) -> Symbol:
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option.set_filter(lambda u: u
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.strikes(-2, +2)
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.expiration(0, 180)
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.where(self.where_contract)) # def where_contract(self, contract: OptionContract) -> bool:
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def contracts_filter(self, contracts: list[OptionUniverse]) -> list[Symbol]:
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for contract in contracts:
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# Can access the contract data here:
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greeks = contract.greeks
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iv = contract.implied_volatility
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open_interest = contract.open_interest
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yield contract.symbol
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def select_contract(self, contract: OptionUniverse) -> Symbol:
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# Can access the contract data here:
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greeks = contract.greeks
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iv = contract.implied_volatility
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open_interest = contract.open_interest
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return contract.symbol
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def where_contract(self, contract: OptionUniverse) -> bool:
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# Can access the contract data here:
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greeks = contract.greeks
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iv = contract.implied_volatility
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open_interest = contract.open_interest
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return True
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@@ -46,7 +46,7 @@ class CoarseFineOptionUniverseChainRegressionAlgorithm(QCAlgorithm):
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universe.include_weeklys().front_month()
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contracts = list()
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for symbol in universe:
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for symbol in universe.get_symbols():
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if len(contracts) == 5:
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break
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contracts.append(symbol)
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