Files
quantconnect--lean/Algorithm.CSharp/EquityMarginCallAlgorithm.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

157 lines
5.5 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 QuantConnect.Data;
using QuantConnect.Interfaces;
using QuantConnect.Orders;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Algorithm asserting that the <see cref="QCAlgorithm.OnMarginCallWarning"/> and <see cref="QCAlgorithm.OnMarginCall"/>
/// events are fired when trading equities
/// </summary>
public class EquityMarginCallAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private Symbol _symbol;
private bool _receivedMarginCallWarning;
private bool _onMarginCallWasCalled;
public override void Initialize()
{
SetStartDate(2015, 12, 23);
SetEndDate(2015, 12, 30);
SetCash(100000);
var equity = AddEquity("GOOG");
equity.SetLeverage(100);
_symbol = equity.Symbol;
}
public override void OnData(Slice slice)
{
if (!Portfolio.Invested)
{
SetHoldings(_symbol, 86);
}
}
public override void OnMarginCall(List<SubmitOrderRequest> requests)
{
Debug($"OnMarginCall at {Time}");
_onMarginCallWasCalled = true;
foreach (var request in requests)
{
var security = Portfolio.Securities[request.Symbol];
// Ensure margin call orders only happen when the exchange is open
if (!security.Exchange.ExchangeOpen)
{
throw new RegressionTestException("Margin calls should not occur outside regular market hours!");
}
}
}
public override void OnMarginCallWarning()
{
Debug($"OnMarginCallWarning at {Time}");
_receivedMarginCallWarning = true;
}
public override void OnEndOfAlgorithm()
{
if (!_receivedMarginCallWarning)
{
throw new RegressionTestException("OnMarginCallWarning was not invoked");
}
if (!_onMarginCallWasCalled)
{
throw new RegressionTestException("OnMarginCall was not invoked");
}
// margin call orders should have liquidated part of the position and get us within the maintenance margin
if (Portfolio.MarginRemaining < 0)
{
throw new RegressionTestException("MarginRemaining should be positive");
}
}
/// <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 timeslices of algorithm
/// </summary>
public long DataPoints => 3190;
/// <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", "7"},
{"Average Win", "0%"},
{"Average Loss", "-6.17%"},
{"Compounding Annual Return", "-100.000%"},
{"Drawdown", "72.300%"},
{"Expectancy", "-1"},
{"Start Equity", "100000"},
{"End Equity", "50554.98"},
{"Net Profit", "-49.445%"},
{"Sharpe Ratio", "-1.155"},
{"Sortino Ratio", "0"},
{"Probabilistic Sharpe Ratio", "0.982%"},
{"Loss Rate", "100%"},
{"Win Rate", "0%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "-0.961"},
{"Beta", "1.583"},
{"Annual Standard Deviation", "0.87"},
{"Annual Variance", "0.756"},
{"Information Ratio", "-1.135"},
{"Tracking Error", "0.861"},
{"Treynor Ratio", "-0.635"},
{"Total Fees", "$91.53"},
{"Estimated Strategy Capacity", "$8000.00"},
{"Lowest Capacity Asset", "GOOCV VP83T1ZUHROL"},
{"Portfolio Turnover", "2904.79%"},
{"Drawdown Recovery", "0"},
{"OrderListHash", "80d456f6613030d3ff67b6c59dba5707"}
};
}
}