Files
quantconnect--lean/Algorithm.CSharp/MacdAlphaModelFrameworkRegressionAlgorithm.cs
T
Ricardo Andrés Marino Rojas b4bad69772
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Dynamically Adjust Risk Free Rate of Return (#7489)
* First attempt to solve the bug

* Enhance implementation

* Enhance implementation

* Simplify implementation

* Rebase regression stats

* Solve unit test bugs

* Review

* Update Rolling.Sharpe() method

* Update regression stats

* Update unit tests

* Update missing regression algos

* Update Rolling.cs

---------

Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
2023-10-02 13:42:28 -03:00

76 lines
2.8 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.Algorithm.Framework.Alphas;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Regression algorithm to assert the behavior of <see cref="MacdAlphaModel"/>.
/// </summary>
public class MacdAlphaModelFrameworkRegressionAlgorithm : BaseFrameworkRegressionAlgorithm
{
public override void Initialize()
{
base.Initialize();
SetAlpha(new MacdAlphaModel());
}
public override void OnEndOfAlgorithm()
{
const int expected = 4;
if (Insights.TotalCount != expected)
{
throw new Exception($"The total number of insights should be {expected}. Actual: {Insights.TotalCount}");
}
}
public override int AlgorithmHistoryDataPoints => 136;
/// <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 Trades", "30"},
{"Average Win", "0.38%"},
{"Average Loss", "-0.53%"},
{"Compounding Annual Return", "37.545%"},
{"Drawdown", "1.800%"},
{"Expectancy", "0.350"},
{"Net Profit", "2.655%"},
{"Sharpe Ratio", "3.915"},
{"Probabilistic Sharpe Ratio", "81.718%"},
{"Loss Rate", "21%"},
{"Win Rate", "79%"},
{"Profit-Loss Ratio", "0.72"},
{"Alpha", "0.334"},
{"Beta", "-0.438"},
{"Annual Standard Deviation", "0.064"},
{"Annual Variance", "0.004"},
{"Information Ratio", "0.649"},
{"Tracking Error", "0.092"},
{"Treynor Ratio", "-0.573"},
{"Total Fees", "$66.72"},
{"Estimated Strategy Capacity", "$7400000.00"},
{"Lowest Capacity Asset", "AIG R735QTJ8XC9X"},
{"Portfolio Turnover", "16.13%"},
{"OrderListHash", "f51645e41a41477c9a193bdab615e74d"}
};
}
}