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quantconnect--lean/Algorithm.CSharp/EmaCrossAlphaModelFrameworkRegressionAlgorithm.cs
T
Martin-Molinero 7879795207
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Enable daily precise end time by default (#8254)
* Default daily precise end times

- Enable by default daily precise end times. Updating stats
- Minor fix for algorithm manager consolidator updates, adding new regression test
  asserting behavior and updating others
- Minor fix for SubscriptionData creator avoid round down on warmup if
  not appropiate
- Adjust consolidators to emit on daily strict end times if requested
  daily resolution and setting enabled
- Updating regression algorithms

* Skip daily data on extended market hours

* Some cleanup and self review

* Revert unrequired change
2024-08-14 12:49:56 -03:00

78 lines
2.9 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>
/// 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 override Dictionary<string, string> ExpectedStatistics => new()
{
{"Total Orders", "38"},
{"Average Win", "0.36%"},
{"Average Loss", "-0.17%"},
{"Compounding Annual Return", "68.881%"},
{"Drawdown", "0.900%"},
{"Expectancy", "1.552"},
{"Start Equity", "100000"},
{"End Equity", "104401.15"},
{"Net Profit", "4.401%"},
{"Sharpe Ratio", "8.193"},
{"Sortino Ratio", "16.18"},
{"Probabilistic Sharpe Ratio", "97.920%"},
{"Loss Rate", "19%"},
{"Win Rate", "81%"},
{"Profit-Loss Ratio", "2.14"},
{"Alpha", "0.371"},
{"Beta", "0.406"},
{"Annual Standard Deviation", "0.055"},
{"Annual Variance", "0.003"},
{"Information Ratio", "4.394"},
{"Tracking Error", "0.059"},
{"Treynor Ratio", "1.106"},
{"Total Fees", "$80.35"},
{"Estimated Strategy Capacity", "$9600000.00"},
{"Lowest Capacity Asset", "AIG R735QTJ8XC9X"},
{"Portfolio Turnover", "17.26%"},
{"OrderListHash", "90302b5e51106c74b6efdc0ca42fcb55"}
};
}
}