Files
quantconnect--lean/Algorithm.CSharp/EuropeanOptionsCannotBeExercisedBeforeExpiryRegressionAlgorithm.cs
T
JosueNina 7008d17714
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Add MaxDrawdownRecovery metric (#8865)
* 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>
2025-07-17 16:32:23 -03:00

193 lines
7.1 KiB
C#

/*
* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
using System;
using System.Collections.Generic;
using System.Linq;
using QuantConnect.Data;
using QuantConnect.Data.Market;
using QuantConnect.Interfaces;
using QuantConnect.Orders;
using QuantConnect.Securities.Option;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Regression algorithm asserting that European options cannot be exercised before expiry
/// </summary>
public class EuropeanOptionsCannotBeExercisedBeforeExpiryRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private Option _option;
private OptionContract _contract;
private bool _marketOrderDone;
private bool _exerciseBeforeExpiryDone;
private bool _exerciseOnExpiryDone;
public override void Initialize()
{
SetStartDate(2021, 1, 4);
SetEndDate(2021, 2, 1);
SetCash(200000);
var index = AddIndex("SPX", Resolution.Hour, fillForward: true);
var indexOption = AddIndexOption(index.Symbol, Resolution.Hour, fillForward: true);
indexOption.SetFilter(filterFunc => filterFunc);
_option = indexOption;
}
public override void OnData(Slice slice)
{
if ((_exerciseBeforeExpiryDone && _exerciseOnExpiryDone) || !_option.Exchange.ExchangeOpen)
{
return;
}
if (_contract == null)
{
OptionChain contracts;
if (!slice.OptionChains.TryGetValue(_option.Symbol, out contracts) || !contracts.Any())
{
return;
}
_contract = contracts.First();
}
var expiry = _contract.Expiry.ConvertToUtc(_option.Exchange.TimeZone).Date;
if (!_exerciseBeforeExpiryDone && UtcTime.Date < expiry)
{
if (!_marketOrderDone)
{
if (MarketOrder(_contract.Symbol, 1).Status != OrderStatus.Filled)
{
throw new RegressionTestException("Expected market order to fill immediately");
}
_marketOrderDone = true;
}
if (ExerciseOption(_contract.Symbol, 1).Status == OrderStatus.Filled)
{
throw new RegressionTestException($"Expected European option to not be exercisable before its expiration date. " +
$"Time: {UtcTime}. Expiry: {_contract.Expiry.ConvertToUtc(_option.Exchange.TimeZone)}");
}
_exerciseBeforeExpiryDone = true;
return;
}
if (!_exerciseOnExpiryDone && UtcTime.Date == expiry)
{
if (ExerciseOption(_contract.Symbol, 1).Status != OrderStatus.Filled)
{
throw new RegressionTestException($"Expected European option to be exercisable on its expiration date. " +
$"Time: {UtcTime}. Expiry: {_contract.Expiry.ConvertToUtc(_option.Exchange.TimeZone)}");
}
_exerciseOnExpiryDone = true;
// We already tested everything, so we can stop the algorithm
Quit();
}
}
public override void OnEndOfAlgorithm()
{
if (!_exerciseBeforeExpiryDone || !_exerciseOnExpiryDone)
{
throw new RegressionTestException("Expected to try to exercise option before and on expiry");
}
var optionHoldings = Securities[_contract.Symbol].Holdings;
if (optionHoldings.NetProfit != Portfolio.TotalNetProfit)
{
throw new RegressionTestException($"Unexpected holdings profit result {optionHoldings.Profit}");
}
if (Portfolio.Cash != (Portfolio.TotalNetProfit + 200000))
{
throw new RegressionTestException($"Unexpected portfolio cash {Portfolio.Cash}");
}
}
/// <summary>
/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
/// </summary>
public bool CanRunLocally { get; } = true;
/// <summary>
/// This is used by the regression test system to indicate which languages this algorithm is written in.
/// </summary>
public List<Language> Languages { get; } = new() { Language.CSharp };
/// <summary>
/// Data Points count of all time slices of algorithm
/// </summary>
public long DataPoints => 1461;
/// <summary>
/// Data Points count of the algorithm history
/// </summary>
public int AlgorithmHistoryDataPoints => 0;
/// <summary>
/// Final status of the algorithm
/// </summary>
public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
/// <summary>
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
/// </summary>
public Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
{
{"Total Orders", "2"},
{"Average Win", "0.68%"},
{"Average Loss", "0%"},
{"Compounding Annual Return", "24.075%"},
{"Drawdown", "1.900%"},
{"Expectancy", "0"},
{"Start Equity", "200000"},
{"End Equity", "201354"},
{"Net Profit", "0.677%"},
{"Sharpe Ratio", "5.76"},
{"Sortino Ratio", "0"},
{"Probabilistic Sharpe Ratio", "89.644%"},
{"Loss Rate", "0%"},
{"Win Rate", "100%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "0.946"},
{"Beta", "-0.354"},
{"Annual Standard Deviation", "0.123"},
{"Annual Variance", "0.015"},
{"Information Ratio", "0.211"},
{"Tracking Error", "0.176"},
{"Treynor Ratio", "-2.004"},
{"Total Fees", "$0.00"},
{"Estimated Strategy Capacity", "$1700000.00"},
{"Lowest Capacity Asset", "SPX XL80P3HB5O6M|SPX 31"},
{"Portfolio Turnover", "0.35%"},
{"Drawdown Recovery", "10"},
{"OrderListHash", "c511179c15aa167365cc1acb91b20bf3"}
};
}
}