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quantconnect--lean/Algorithm.CSharp/MultipleUniverseSelectionOrderRegressionAlgorithm.cs
T
2026-07-13 13:02:50 +08:00

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4.3 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.Linq;
using System.Collections.Generic;
using QuantConnect.Data;
using QuantConnect.Data.Fundamental;
using QuantConnect.Interfaces;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Regression algorithm asserting that multiple universe selection functions are called
/// in the order the universes were added to the algorithm
/// </summary>
public class MultipleUniverseSelectionOrderRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private int _selectionCallCount;
public override void Initialize()
{
SetStartDate(2014, 3, 24);
SetEndDate(2014, 3, 28);
UniverseSettings.Resolution = Resolution.Daily;
AddUniverse(SelectAssets1);
AddUniverse(SelectAssets2);
AddUniverse(SelectAssets3);
}
private IEnumerable<Symbol> SelectAssets1(IEnumerable<Fundamental> fundamentals)
{
ValidateSelectionOrder(1);
return Enumerable.Empty<Symbol>();
}
private IEnumerable<Symbol> SelectAssets2(IEnumerable<Fundamental> fundamentals)
{
ValidateSelectionOrder(2);
return Enumerable.Empty<Symbol>();
}
private IEnumerable<Symbol> SelectAssets3(IEnumerable<Fundamental> fundamentals)
{
ValidateSelectionOrder(3);
return Enumerable.Empty<Symbol>();
}
private void ValidateSelectionOrder(int universeIndex)
{
var expectedPositionInCycle = universeIndex - 1;
if (_selectionCallCount % 3 != expectedPositionInCycle)
{
throw new RegressionTestException($"Universes are not being selected in the order they were added. Expected universe {expectedPositionInCycle + 1} but got universe {universeIndex}.");
}
_selectionCallCount++;
}
public override void OnEndOfAlgorithm()
{
if (_selectionCallCount < 3)
{
throw new RegressionTestException($"Expected all 3 universes to be selected at least once, but got {_selectionCallCount} calls.");
}
}
public bool CanRunLocally { get; } = true;
public List<Language> Languages { get; } = new() { Language.CSharp };
public long DataPoints => -1;
public int AlgorithmHistoryDataPoints => 0;
public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
public Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
{
{"Total Orders", "0"},
{"Average Win", "0%"},
{"Average Loss", "0%"},
{"Compounding Annual Return", "0%"},
{"Drawdown", "0%"},
{"Expectancy", "0"},
{"Start Equity", "100000"},
{"End Equity", "100000"},
{"Net Profit", "0%"},
{"Sharpe Ratio", "0"},
{"Sortino Ratio", "0"},
{"Probabilistic Sharpe Ratio", "0%"},
{"Loss Rate", "0%"},
{"Win Rate", "0%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "0"},
{"Beta", "0"},
{"Annual Standard Deviation", "0"},
{"Annual Variance", "0"},
{"Information Ratio", "-0.404"},
{"Tracking Error", "0.094"},
{"Treynor Ratio", "0"},
{"Total Fees", "$0.00"},
{"Estimated Strategy Capacity", "$0"},
{"Lowest Capacity Asset", ""},
{"Portfolio Turnover", "0%"},
{"Drawdown Recovery", "0"},
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
};
}
}