Files
quantconnect--lean/Algorithm.CSharp/MacdAlphaModelFrameworkRegressionAlgorithm.cs
T
Jhonathan Abreu ed92e6653b Fix EMA first value calculation (#7173)
* Fix EMA indicator first value calculation

As done by TALib and TradingView, the first EMA value after warmup is
the SMA of the first period.

* Update TSI indicator test data

Data was exported from TradingView

* Update TRIX indicator test data from TradingView

* Update AccumulationDistributionOscillator indicator test data from TradingView

* Update Double EMA indicator test data from TradingView

* Update McClellanSummationIndex indicator test data

* Update SchaffTrendCycle indicator test data

* Update TripleExponentialMovingAverage indicator test data from TradingView

* Update stats for algorithms using EMA

* Update failing unit tests
2023-04-11 17:43:25 -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", "41"},
{"Average Win", "0.38%"},
{"Average Loss", "-0.18%"},
{"Compounding Annual Return", "37.401%"},
{"Drawdown", "1.800%"},
{"Expectancy", "0.730"},
{"Net Profit", "2.646%"},
{"Sharpe Ratio", "4.016"},
{"Probabilistic Sharpe Ratio", "81.595%"},
{"Loss Rate", "45%"},
{"Win Rate", "55%"},
{"Profit-Loss Ratio", "2.15"},
{"Alpha", "0.344"},
{"Beta", "-0.437"},
{"Annual Standard Deviation", "0.064"},
{"Annual Variance", "0.004"},
{"Information Ratio", "0.639"},
{"Tracking Error", "0.092"},
{"Treynor Ratio", "-0.588"},
{"Total Fees", "$77.70"},
{"Estimated Strategy Capacity", "$6300000.00"},
{"Lowest Capacity Asset", "AIG R735QTJ8XC9X"},
{"Portfolio Turnover", "16.20%"},
{"OrderListHash", "67021844227140aff9d61fb17fb69546"}
};
}
}