chore: import upstream snapshot with attribution
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/*
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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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*
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*/
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using QuantConnect.Data;
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using QuantConnect.Data.UniverseSelection;
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using System.Collections.Generic;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// Regression algorithm asserting that option contracts added via universe selection get automatically seeded by default
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/// </summary>
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public class OptionsAutomaticSeedRegressionAlgorithm : AutomaticSeedBaseRegressionAlgorithm
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{
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private bool _contractsAdded;
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protected override bool ShouldHaveTradeData => true;
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protected override bool ShouldHaveQuoteData => true;
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protected override bool ShouldHaveOpenInterestData => true;
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// SPY will be added with daily resolution, will not have quotes
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protected override List<string> SecuritiesToIgnoreForChecking => ["SPY"];
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public override void Initialize()
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{
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SetStartDate(2015, 12, 24);
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SetEndDate(2015, 12, 28);
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SetCash(100000);
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Settings.SeedInitialPrices = true;
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UniverseSettings.Resolution = Resolution.Minute;
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var equity = AddEquity("GOOG");
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// This security should haven been seeded right away
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if (!equity.HasData || equity.Price == 0)
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{
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throw new RegressionTestException("Equity security was not seeded");
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}
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var option = AddOption(equity.Symbol);
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option.SetFilter(u => u.StandardsOnly().Strikes(-2, +2).Expiration(0, 180));
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}
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public override void OnData(Slice slice)
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{
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if (Time.TimeOfDay.Hours > 12)
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{
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var anotherEquity = AddEquity("SPY", Resolution.Daily);
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// This security should haven been seeded right away
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if (!anotherEquity.HasData || anotherEquity.Price == 0)
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{
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throw new RegressionTestException("Equity security was not seeded");
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}
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}
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}
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public override void OnSecuritiesChanged(SecurityChanges changes)
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{
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base.OnSecuritiesChanged(changes);
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if (!_contractsAdded)
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{
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foreach (var addedSecurity in changes.AddedSecurities)
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{
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// Just making sure we had the data to select and seed options
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_contractsAdded |= addedSecurity.Symbol.SecurityType == SecurityType.Option;
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}
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}
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}
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public override void OnEndOfAlgorithm()
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{
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if (!_contractsAdded)
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{
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throw new RegressionTestException("No option contracts were added");
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}
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}
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/// <summary>
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/// Data Points count of all timeslices of algorithm
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/// </summary>
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public override long DataPoints => 38649;
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/// <summary>
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/// Data Points count of the algorithm history
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/// </summary>
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public override int AlgorithmHistoryDataPoints => 185;
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/// <summary>
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/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
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/// </summary>
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public override Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
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{
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{"Total Orders", "0"},
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{"Average Win", "0%"},
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{"Average Loss", "0%"},
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{"Compounding Annual Return", "0%"},
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{"Drawdown", "0%"},
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{"Expectancy", "0"},
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{"Start Equity", "100000"},
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{"End Equity", "100000"},
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{"Net Profit", "0%"},
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{"Sharpe Ratio", "0"},
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{"Sortino Ratio", "0"},
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{"Probabilistic Sharpe Ratio", "0%"},
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{"Loss Rate", "0%"},
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{"Win Rate", "0%"},
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{"Profit-Loss Ratio", "0"},
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{"Alpha", "0"},
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{"Beta", "0"},
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{"Annual Standard Deviation", "0"},
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{"Annual Variance", "0"},
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{"Information Ratio", "7.438"},
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{"Tracking Error", "0.017"},
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{"Treynor Ratio", "0"},
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{"Total Fees", "$0.00"},
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{"Estimated Strategy Capacity", "$0"},
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{"Lowest Capacity Asset", ""},
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{"Portfolio Turnover", "0%"},
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{"Drawdown Recovery", "0"},
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{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
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};
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}
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}
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