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 System.Collections.Generic;
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using System.Linq;
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using QuantConnect.Data;
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using QuantConnect.Interfaces;
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using QuantConnect.Data.UniverseSelection;
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using QuantConnect.Securities;
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using System;
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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 options from universe are added with the same resolution, fill forward and extended market hours settings as the universe settings.
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/// </summary>
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public class EquityOptionsUniverseSettingsRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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private SecurityType[] _securityTypes;
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private HashSet<SecurityType> _checkedSecurityTypes = new();
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protected virtual DateTime TestStartDate => new DateTime(2015, 12, 24);
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public override void Initialize()
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{
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SetStartDate(TestStartDate);
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SetEndDate(TestStartDate.AddDays(1));
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SetCash(100000);
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UniverseSettings.Resolution = Resolution.Daily;
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UniverseSettings.FillForward = false;
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UniverseSettings.ExtendedMarketHours = true;
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_securityTypes = AddSecurity();
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}
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protected virtual SecurityType[] AddSecurity()
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{
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var equity = AddEquity("GOOG");
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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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return [option.Symbol.SecurityType];
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}
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public override void OnSecuritiesChanged(SecurityChanges changes)
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{
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var securities = changes.AddedSecurities.Where(x => _securityTypes.Contains(x.Type) && !x.Symbol.IsCanonical()).Select(x => x.Symbol).ToList();
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var configs = SubscriptionManager.Subscriptions.Where(x => securities.Contains(x.Symbol));
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foreach (var config in configs)
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{
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if (config.Resolution != UniverseSettings.Resolution)
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{
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throw new RegressionTestException($"Config '{config}' resolution {config.Resolution} does not match universe settings resolution {UniverseSettings.Resolution}");
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}
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if (config.FillDataForward != UniverseSettings.FillForward)
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{
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throw new RegressionTestException($"Config '{config}' fill forward {config.FillDataForward} does not match universe settings fill forward {UniverseSettings.FillForward}");
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}
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if (config.ExtendedMarketHours != UniverseSettings.ExtendedMarketHours)
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{
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throw new RegressionTestException($"Config '{config}' extended market hours {config.ExtendedMarketHours} does not match universe settings extended market hours {UniverseSettings.ExtendedMarketHours}");
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}
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_checkedSecurityTypes.Add(config.SecurityType);
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}
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}
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public override void OnEndOfAlgorithm()
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{
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if (_checkedSecurityTypes.Count != _securityTypes.Length || !_securityTypes.All(_checkedSecurityTypes.Contains))
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{
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throw new RegressionTestException($"Not all security types were checked. Expected: {string.Join(", ", _securityTypes)}. Checked: {string.Join(", ", _checkedSecurityTypes)}");
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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 virtual long DataPoints => 4275;
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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 virtual 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", "0"},
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{"Tracking Error", "0"},
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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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