Files
quantconnect--lean/Algorithm.CSharp/EmaCrossAlphaModelFrameworkRegressionAlgorithm.cs
T
Ricardo Andrés Marino Rojas cce8945fe8
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Api Clean up, Documentation and Standarization part two (#7964)
* Add improvements

* Add improvments and unit tests

* Add XML comments

* Nit changes

* Add unit tests for OrderJsonConverter

* Improve unit tests

* Address requested changes

* Fix bugs

* Fix bugs

* Fix bugs and self-review

* Fix bugs

* Address requested changes

* Fix unit test bug

* Fix bugs

* Improve unit tests

* Solve bugs
2024-04-26 13:17:34 -03:00

73 lines
2.7 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.Collections.Generic;
using QuantConnect.Algorithm.Framework.Alphas;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Regression algorithm to assert the behavior of <see cref="EmaCrossAlphaModel"/>.
/// </summary>
public class EmaCrossAlphaModelFrameworkRegressionAlgorithm : BaseFrameworkRegressionAlgorithm
{
public override void Initialize()
{
base.Initialize();
SetAlpha(new EmaCrossAlphaModel());
}
public override void OnEndOfAlgorithm()
{
}
public override int AlgorithmHistoryDataPoints => 152;
/// <summary>
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
/// </summary>
public override Dictionary<string, string> ExpectedStatistics => new()
{
{"Total Orders", "31"},
{"Average Win", "0.44%"},
{"Average Loss", "-0.17%"},
{"Compounding Annual Return", "61.576%"},
{"Drawdown", "0.900%"},
{"Expectancy", "1.747"},
{"Start Equity", "100000"},
{"End Equity", "104022.40"},
{"Net Profit", "4.022%"},
{"Sharpe Ratio", "7.552"},
{"Sortino Ratio", "14.355"},
{"Probabilistic Sharpe Ratio", "97.071%"},
{"Loss Rate", "23%"},
{"Win Rate", "77%"},
{"Profit-Loss Ratio", "2.57"},
{"Alpha", "0.323"},
{"Beta", "0.419"},
{"Annual Standard Deviation", "0.053"},
{"Annual Variance", "0.003"},
{"Information Ratio", "3.736"},
{"Tracking Error", "0.057"},
{"Treynor Ratio", "0.962"},
{"Total Fees", "$73.33"},
{"Estimated Strategy Capacity", "$9600000.00"},
{"Lowest Capacity Asset", "AIG R735QTJ8XC9X"},
{"Portfolio Turnover", "16.84%"},
{"OrderListHash", "757d4ceeedcb454aa0d629eed8e8af18"}
};
}
}