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* Implement a prototype of the maximum recovery time function. * Add unit test skeletons. * Add failing test * Issue #4581: Implement MaxDrawdownRecoveryTime. * Issue 4581: Add DTO for Drawdown Percentage, Drawdown Enddate, and High Value * Issue 4581: Fix bgu for when lDrawdowns list is empty. * Issue 4581: Change names of tests. Change name of file. * Issue 4581: Make adjustements to flow of adding drawdowns to lDrawdowns. * Issue 4581: Add multiple unit tests. * Issue #4581: Change name of unit test * Issue #4581: Add to PerformanceMetrics * Issue #4581: Add Maximum Drawdown Recovery to PortolioStatistics class. * Issue #4581: Add to portolfio statistics class. * Issue #4581: Add to statistics builder. * Issue #4581: Add report key. * Case #4581: Convert to decimal. * Issue #4581: Correct comment. * Issue #4581: Correct performance metrics view model string. * Case #4581: Correct statistics builder view model string..again. * Issue #4581: Placed DradownDradownDateHighValueDTO at the end of the file for simpler diff. * Issue #4581: Add 2 new tests. * Issue #4581: Change algorithm so that when multiple maximum drawdowns occur, the longest of all recoveries is reported. * Issue #4581: Add unit test. * Issue #4581: Remove reportkey. Change dto name. * Issue #4581: Change summary. * Issue #4581: Change comment. * Add max drawdown recovery calculation with unit tests * Update regression algorithms with the new metric * Solve review comments * Update regression algorithms * Add TryGet to safely get the key: MaximumDrawdownRecovery * Ignore MaximumDrawdownRecovery metric in OptimizationBacktest Json * Revert changes in Messaging * Update regression algorithms * Add test case: TakesLongestRecoveryAmongMultipleDrawdowns * Use integer days for MaximumDrawdownRecovery * Add MaximumDrawdownRecoveryReportElement * Use more explicit names * Rename files and variables for consistency * Update regression algorithms --------- Co-authored-by: Alain Schaerer <aschaerer@pcatg.com>
193 lines
7.1 KiB
C#
193 lines
7.1 KiB
C#
/*
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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;
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using QuantConnect.Data.Market;
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using QuantConnect.Interfaces;
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using QuantConnect.Orders;
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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 asserting that European options cannot be exercised before expiry
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/// </summary>
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public class EuropeanOptionsCannotBeExercisedBeforeExpiryRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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private Option _option;
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private OptionContract _contract;
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private bool _marketOrderDone;
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private bool _exerciseBeforeExpiryDone;
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private bool _exerciseOnExpiryDone;
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public override void Initialize()
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{
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SetStartDate(2021, 1, 4);
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SetEndDate(2021, 2, 1);
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SetCash(200000);
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var index = AddIndex("SPX", Resolution.Hour, fillForward: true);
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var indexOption = AddIndexOption(index.Symbol, Resolution.Hour, fillForward: true);
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indexOption.SetFilter(filterFunc => filterFunc);
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_option = indexOption;
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}
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public override void OnData(Slice slice)
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{
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if ((_exerciseBeforeExpiryDone && _exerciseOnExpiryDone) || !_option.Exchange.ExchangeOpen)
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{
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return;
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}
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if (_contract == null)
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{
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OptionChain contracts;
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if (!slice.OptionChains.TryGetValue(_option.Symbol, out contracts) || !contracts.Any())
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{
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return;
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}
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_contract = contracts.First();
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}
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var expiry = _contract.Expiry.ConvertToUtc(_option.Exchange.TimeZone).Date;
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if (!_exerciseBeforeExpiryDone && UtcTime.Date < expiry)
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{
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if (!_marketOrderDone)
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{
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if (MarketOrder(_contract.Symbol, 1).Status != OrderStatus.Filled)
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{
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throw new RegressionTestException("Expected market order to fill immediately");
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}
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_marketOrderDone = true;
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}
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if (ExerciseOption(_contract.Symbol, 1).Status == OrderStatus.Filled)
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{
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throw new RegressionTestException($"Expected European option to not be exercisable before its expiration date. " +
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$"Time: {UtcTime}. Expiry: {_contract.Expiry.ConvertToUtc(_option.Exchange.TimeZone)}");
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}
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_exerciseBeforeExpiryDone = true;
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return;
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}
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if (!_exerciseOnExpiryDone && UtcTime.Date == expiry)
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{
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if (ExerciseOption(_contract.Symbol, 1).Status != OrderStatus.Filled)
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{
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throw new RegressionTestException($"Expected European option to be exercisable on its expiration date. " +
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$"Time: {UtcTime}. Expiry: {_contract.Expiry.ConvertToUtc(_option.Exchange.TimeZone)}");
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}
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_exerciseOnExpiryDone = true;
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// We already tested everything, so we can stop the algorithm
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Quit();
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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 (!_exerciseBeforeExpiryDone || !_exerciseOnExpiryDone)
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{
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throw new RegressionTestException("Expected to try to exercise option before and on expiry");
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}
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var optionHoldings = Securities[_contract.Symbol].Holdings;
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if (optionHoldings.NetProfit != Portfolio.TotalNetProfit)
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{
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throw new RegressionTestException($"Unexpected holdings profit result {optionHoldings.Profit}");
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}
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if (Portfolio.Cash != (Portfolio.TotalNetProfit + 200000))
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{
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throw new RegressionTestException($"Unexpected portfolio cash {Portfolio.Cash}");
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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 time slices of algorithm
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/// </summary>
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public long DataPoints => 1461;
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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", "2"},
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{"Average Win", "0.68%"},
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{"Average Loss", "0%"},
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{"Compounding Annual Return", "24.075%"},
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{"Drawdown", "1.900%"},
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{"Expectancy", "0"},
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{"Start Equity", "200000"},
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{"End Equity", "201354"},
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{"Net Profit", "0.677%"},
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{"Sharpe Ratio", "5.76"},
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{"Sortino Ratio", "0"},
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{"Probabilistic Sharpe Ratio", "89.644%"},
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{"Loss Rate", "0%"},
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{"Win Rate", "100%"},
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{"Profit-Loss Ratio", "0"},
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{"Alpha", "0.946"},
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{"Beta", "-0.354"},
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{"Annual Standard Deviation", "0.123"},
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{"Annual Variance", "0.015"},
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{"Information Ratio", "0.211"},
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{"Tracking Error", "0.176"},
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{"Treynor Ratio", "-2.004"},
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{"Total Fees", "$0.00"},
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{"Estimated Strategy Capacity", "$1700000.00"},
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{"Lowest Capacity Asset", "SPX XL80P3HB5O6M|SPX 31"},
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{"Portfolio Turnover", "0.35%"},
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{"Drawdown Recovery", "10"},
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{"OrderListHash", "c511179c15aa167365cc1acb91b20bf3"}
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};
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}
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}
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