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

78 lines
3.0 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.Securities.Option;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Regression algorithm assering we can disable automatic option assignment
/// </summary>
public class NullOptionAssignmentRegressionAlgorithm : OptionAssignmentRegressionAlgorithm
{
public override void Initialize()
{
SetSecurityInitializer((security) =>
{
var option = security as Option;
option?.SetOptionAssignmentModel(new NullOptionAssignmentModel());
});
base.Initialize();
}
/// <summary>
/// This is used by the regression test system to indicate which languages this algorithm is written in.
/// </summary>
public override Language[] Languages { get; } = { Language.CSharp, Language.Python };
/// <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 Dictionary<string, string>
{
{"Total Orders", "4"},
{"Average Win", "9.48%"},
{"Average Loss", "-16.73%"},
{"Compounding Annual Return", "-25.790%"},
{"Drawdown", "0.600%"},
{"Expectancy", "-0.478"},
{"Start Equity", "100000"},
{"End Equity", "99538"},
{"Net Profit", "-0.462%"},
{"Sharpe Ratio", "-6.902"},
{"Sortino Ratio", "0"},
{"Probabilistic Sharpe Ratio", "95.713%"},
{"Loss Rate", "67%"},
{"Win Rate", "33%"},
{"Profit-Loss Ratio", "0.57"},
{"Alpha", "-0.009"},
{"Beta", "-0.023"},
{"Annual Standard Deviation", "0.001"},
{"Annual Variance", "0"},
{"Information Ratio", "10.521"},
{"Tracking Error", "0.018"},
{"Treynor Ratio", "0.211"},
{"Total Fees", "$2.00"},
{"Estimated Strategy Capacity", "$0"},
{"Lowest Capacity Asset", "GOOCV VP83T1ZUHROL"},
{"Portfolio Turnover", "26.71%"},
{"OrderListHash", "1a992ecaf12fab7862144531205c016a"}
};
}
}