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.Collections.Generic;
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using System.Linq;
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using QuantConnect.Data.UniverseSelection;
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using QuantConnect.Interfaces;
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using QuantConnect.Securities;
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using QuantConnect.Securities.Option;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// Regression algorithm testing the behavior of the algorithm when a security is removed and re-added.
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/// It asserts that the securities are marked as non-tradable when removed and that they are tradable when re-added.
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/// It also asserts that the algorithm receives the correct security changed events for the added and removed securities.
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///
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/// Additionally, it tests that the security is initialized after every addition, and no more.
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///
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/// This specific algorithm tests this behavior for option contracts that are selected, deselected and re-selected.
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/// </summary>
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public class SecurityInitializationOnReAdditionForSelectedOptionRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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private Symbol _canonicalOption;
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private List<Symbol> _contractsToSelect;
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private HashSet<Option> _selectedContracts = new();
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private bool _selectSingle;
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private int _selectionsCount;
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private Dictionary<Security, int> _securityInializationCounts = new();
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public override void Initialize()
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{
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SetStartDate(2014, 06, 04);
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SetEndDate(2014, 06, 20);
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SetCash(100000);
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var seeder = new FuncSecuritySeeder((security) =>
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{
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if (security is Option option)
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{
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if (!_securityInializationCounts.TryGetValue(security, out var count))
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{
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count = 0;
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}
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_securityInializationCounts[security] = count + 1;
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}
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Debug($"[{Time}] Seeding {security.Symbol}");
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return GetLastKnownPrices(security);
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});
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SetSecurityInitializer(security => seeder.SeedSecurity(security));
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var equitySymbol = QuantConnect.Symbol.Create("AAPL", SecurityType.Equity, Market.USA);
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_contractsToSelect = new List<Symbol>()
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{
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QuantConnect.Symbol.CreateOption(equitySymbol, Market.USA, OptionStyle.American, OptionRight.Call, 335.7m, new DateTime(2014, 07, 19)),
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QuantConnect.Symbol.CreateOption(equitySymbol, Market.USA, OptionStyle.American, OptionRight.Call, 335.7m, new DateTime(2015, 01, 17))
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};
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var option = AddOption(equitySymbol, Resolution.Daily);
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option.SetFilter(u => u.Contracts(contracts =>
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{
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_selectionsCount++;
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_securityInializationCounts.Clear();
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List<Symbol> selected;
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if (_selectSingle)
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{
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_selectSingle = false;
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selected = _contractsToSelect.Take(1).ToList();
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}
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else
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{
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_selectSingle = true;
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selected = _contractsToSelect;
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}
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Log($"[{Time}] [{UtcTime}] Selecting {string.Join(", ", selected.Select(x => x.Value))}");
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return selected;
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}));
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_canonicalOption = option.Symbol;
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}
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public override void OnSecuritiesChanged(SecurityChanges changes)
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{
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foreach (var security in changes.AddedSecurities)
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{
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if (!security.IsTradable)
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{
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throw new RegressionTestException($"Expected the security to be tradable. Symbol: {security.Symbol}");
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}
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}
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foreach (var security in changes.RemovedSecurities)
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{
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if (security.IsTradable)
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{
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throw new RegressionTestException($"Expected the security to be not tradable. Symbol: {security.Symbol}");
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}
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}
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var underlyingEquity = changes.AddedSecurities.FirstOrDefault(x => x.Symbol == _canonicalOption.Underlying);
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if (Time == StartDate)
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{
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if (underlyingEquity == null)
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{
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throw new RegressionTestException($"Expected the underlying equity to be added. " +
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$"Added: {string.Join(", ", changes.AddedSecurities.Select(x => x.Symbol.Value))}");
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}
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}
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else if (underlyingEquity != null)
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{
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throw new RegressionTestException($"Expected the underlying equity to not be added. " +
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$"Added: {string.Join(", ", changes.AddedSecurities.Select(x => x.Symbol.Value))}");
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}
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var addedContracts = changes.AddedSecurities.OfType<Option>().ToList();
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if (addedContracts.Any(x => !_securityInializationCounts.TryGetValue(x, out var count) || count != 1))
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{
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throw new RegressionTestException($"Expected all contracts to be initialized. Added: {string.Join(", ", addedContracts.Select(x => x.Symbol.Value))}, Initialized: {string.Join(", ", _securityInializationCounts.Select(x => $"{x.Key.Symbol.Value} - {x.Value}"))}");
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}
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// The first contract will be selected always, so we expect it to be added only once
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var firstAddedContract = changes.AddedSecurities.FirstOrDefault(x => x.Symbol == _contractsToSelect[0]) as Option;
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if (firstAddedContract == null)
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{
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if (_selectedContracts.Contains(firstAddedContract))
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{
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throw new RegressionTestException($"Expected the first contract to be added only once");
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}
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}
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// _selectSingle flag was set to true, so we expect both contracts to be selected
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if (_selectSingle)
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{
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if (!changes.AddedSecurities.Any(x => x.Symbol == _contractsToSelect[1]))
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{
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throw new RegressionTestException($"Expected the second contract to be added");
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}
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}
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else
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{
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if (changes.AddedSecurities.Any(x => x.Symbol == _contractsToSelect[1]))
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{
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throw new RegressionTestException($"Expected the second contract to not be added");
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}
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var removedContract = changes.RemovedSecurities.FirstOrDefault(x => x.Symbol == _contractsToSelect[1]);
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if (removedContract == null)
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{
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throw new RegressionTestException($"Expected the second contract to be removed");
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}
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if (removedContract.IsTradable)
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{
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throw new RegressionTestException($"Expected the second contract to be not tradable since it was removed");
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}
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}
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foreach (var security in changes.AddedSecurities.OfType<Option>())
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{
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_selectedContracts.Add(security);
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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 (_selectionsCount == 0)
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{
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throw new RegressionTestException("Expected at least one selection");
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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 => 39254;
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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 => 5;
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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", "-6.27"},
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{"Tracking Error", "0.056"},
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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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