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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using System;
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using System.Linq;
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using QuantConnect.Interfaces;
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using QuantConnect.Securities;
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using System.Collections.Generic;
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using QuantConnect.Data.UniverseSelection;
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using QuantConnect.Algorithm.Framework.Selection;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// Regression algorithm reproducing GH issue #3914 where the option chain subscriptions wouldn't get removed
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/// </summary>
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public class OptionChainSubscriptionRemovalRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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private int _optionCount;
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public override void Initialize()
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{
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UniverseSettings.Resolution = Resolution.Minute;
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SetStartDate(2014, 06, 05);
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SetEndDate(2014, 06, 09);
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// this line is the key of this test it changed the behavior if the resolution used
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// is < that Minute which is the Option resolution
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AddEquity("SPY", Resolution.Second);
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SetUniverseSelection(new TestOptionUniverseSelectionModel(SelectOptionChainSymbols));
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}
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public override void OnSecuritiesChanged(SecurityChanges changes)
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{
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_optionCount += changes.AddedSecurities.Count(security => security.Symbol.SecurityType == SecurityType.Option);
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Log($"{GetStatusLog()} CHANGES: {changes}");
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}
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public override void OnEndOfAlgorithm()
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{
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if (_optionCount != 45)
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{
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throw new RegressionTestException($"Unexpected option count {_optionCount}, expected 45");
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}
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}
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private static IEnumerable<Symbol> SelectOptionChainSymbols(DateTime utcTime)
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{
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var newYorkTime = utcTime.ConvertFromUtc(TimeZones.NewYork);
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if (newYorkTime.Date < new DateTime(2014, 06, 06))
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{
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yield return QuantConnect.Symbol.Create("TWX", SecurityType.Option, Market.USA, "?TWX");
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}
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if (newYorkTime.Date >= new DateTime(2014, 06, 06))
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{
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yield return QuantConnect.Symbol.Create("AAPL", SecurityType.Option, Market.USA, "?AAPL");
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}
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}
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private string GetStatusLog()
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{
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Plot("Status", "UniverseCount", UniverseManager.Count);
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Plot("Status", "SubscriptionCount", SubscriptionManager.Subscriptions.Count());
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Plot("Status", "ActiveSymbolsCount", UniverseManager.ActiveSecurities.Count);
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// why 50? we select 15 option contracts, which add trade/quote/openInterest = 45 + SPY & underlying trade/quote + universe subscription => 50
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if (SubscriptionManager.Subscriptions.Count() > 50)
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{
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throw new RegressionTestException("Subscriptions aren't getting removed as expected!");
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}
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return $"{Time} | UniverseCount {UniverseManager.Count}. " +
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$"SubscriptionCount {SubscriptionManager.Subscriptions.Count()}. " +
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$"ActiveSymbols {string.Join(",", UniverseManager.ActiveSecurities.Keys)}";
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}
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class TestOptionUniverseSelectionModel : OptionUniverseSelectionModel
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{
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public TestOptionUniverseSelectionModel(Func<DateTime, IEnumerable<Symbol>> optionChainSymbolSelector)
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: base(TimeSpan.FromDays(1), optionChainSymbolSelector)
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{
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}
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protected override OptionFilterUniverse Filter(OptionFilterUniverse filter)
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{
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return filter.StandardsOnly().BackMonth().Contracts(contracts => contracts.Take(15));
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}
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}
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/// <summary>
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/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
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/// </summary>
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public bool CanRunLocally { get; } = true;
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/// <summary>
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/// This is used by the regression test system to indicate which languages this algorithm is written in.
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/// </summary>
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public List<Language> Languages { get; } = new() { Language.CSharp };
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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 long DataPoints => 2155694;
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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 int AlgorithmHistoryDataPoints => 0;
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/// <summary>
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/// Final status of the algorithm
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/// </summary>
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public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
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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 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", "-11.639"},
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{"Tracking Error", "0.037"},
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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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