/*
* 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
{
///
/// Regression algorithm to assert the behavior of .
///
public class EmaCrossAlphaModelFrameworkRegressionAlgorithm : BaseFrameworkRegressionAlgorithm
{
public override void Initialize()
{
base.Initialize();
SetAlpha(new EmaCrossAlphaModel());
}
public override void OnEndOfAlgorithm()
{
}
public override int AlgorithmHistoryDataPoints => 152;
///
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
///
public override Dictionary ExpectedStatistics => new()
{
{"Total Trades", "56"},
{"Average Win", "0.32%"},
{"Average Loss", "-0.05%"},
{"Compounding Annual Return", "53.636%"},
{"Drawdown", "0.900%"},
{"Expectancy", "2.605"},
{"Net Profit", "3.592%"},
{"Sharpe Ratio", "6.804"},
{"Probabilistic Sharpe Ratio", "94.596%"},
{"Loss Rate", "50%"},
{"Win Rate", "50%"},
{"Profit-Loss Ratio", "6.21"},
{"Alpha", "0.282"},
{"Beta", "0.395"},
{"Annual Standard Deviation", "0.053"},
{"Annual Variance", "0.003"},
{"Information Ratio", "2.825"},
{"Tracking Error", "0.057"},
{"Treynor Ratio", "0.913"},
{"Total Fees", "$98.36"},
{"Estimated Strategy Capacity", "$8200000.00"},
{"Lowest Capacity Asset", "AIG R735QTJ8XC9X"},
{"Portfolio Turnover", "16.97%"},
{"OrderListHash", "c15f396207f4f6e8074b29dd0e532da4"}
};
}
}