Jhonathan Abreu
4415468d96
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* Update CME futures market hours * Update regression algorithms stats * Update regression algorithms stats * Update expected values in unit tests * Additional mhdb updates * Update mhdb
107 lines
4.5 KiB
C#
107 lines
4.5 KiB
C#
/*
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* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
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* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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using System;
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using System.Collections.Generic;
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using System.Linq;
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using QuantConnect.Interfaces;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// Regression algorithm to check we are getting the correct market open and close times when extended market hours are used
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/// </summary>
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public class FutureMarketOpenAndCloseWithExtendedMarketRegressionAlgorithm : FutureMarketOpenAndCloseRegressionAlgorithm
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{
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protected override bool ExtendedMarketHours => true;
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protected override List<DateTime> AfterMarketOpen => new List<DateTime>() {
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new DateTime(2022, 02, 01, 18, 0, 0), // Tuesday
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new DateTime(2022, 02, 02, 18, 0, 0),
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new DateTime(2022, 02, 03, 18, 0, 0),
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new DateTime(2022, 02, 06, 18, 0, 0),
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new DateTime(2022, 02, 07, 18, 0, 0),
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new DateTime(2022, 02, 08, 18, 0, 0)
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};
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protected override List<DateTime> BeforeMarketClose => new List<DateTime>()
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{
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new DateTime(2022, 02, 01, 17, 0, 0),
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new DateTime(2022, 02, 02, 17, 0, 0),
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new DateTime(2022, 02, 03, 17, 0, 0),
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new DateTime(2022, 02, 04, 17, 0, 0),
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new DateTime(2022, 02, 07, 17, 0, 0),
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new DateTime(2022, 02, 08, 17, 0, 0)
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};
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/// <summary>
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/// This is used by the regression test system to indicate which languages this algorithm is written in.
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/// </summary>
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public override Language[] Languages { get; } = { Language.CSharp};
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/// <summary>
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/// Data Points count of all timeslices of algorithm
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/// </summary>
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public override long DataPoints => 7;
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/// <summary>
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/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
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/// </summary>
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public override Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
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{
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{"Total Trades", "0"},
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{"Average Win", "0%"},
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{"Average Loss", "0%"},
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{"Compounding Annual Return", "0%"},
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{"Drawdown", "0%"},
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{"Expectancy", "0"},
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{"Net Profit", "0%"},
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{"Sharpe Ratio", "0"},
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{"Probabilistic Sharpe Ratio", "0%"},
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{"Loss Rate", "0%"},
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{"Win Rate", "0%"},
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{"Profit-Loss Ratio", "0"},
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{"Alpha", "0"},
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{"Beta", "0"},
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{"Annual Standard Deviation", "0"},
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{"Annual Variance", "0"},
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{"Information Ratio", "0"},
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{"Tracking Error", "0"},
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{"Treynor Ratio", "0"},
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{"Total Fees", "$0.00"},
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{"Estimated Strategy Capacity", "$0"},
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{"Lowest Capacity Asset", ""},
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{"Fitness Score", "0"},
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{"Kelly Criterion Estimate", "0"},
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{"Kelly Criterion Probability Value", "0"},
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{"Sortino Ratio", "79228162514264337593543950335"},
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{"Return Over Maximum Drawdown", "79228162514264337593543950335"},
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{"Portfolio Turnover", "0"},
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{"Total Insights Generated", "0"},
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{"Total Insights Closed", "0"},
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{"Total Insights Analysis Completed", "0"},
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{"Long Insight Count", "0"},
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{"Short Insight Count", "0"},
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{"Long/Short Ratio", "100%"},
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{"Estimated Monthly Alpha Value", "$0"},
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{"Total Accumulated Estimated Alpha Value", "$0"},
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{"Mean Population Estimated Insight Value", "$0"},
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{"Mean Population Direction", "0%"},
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{"Mean Population Magnitude", "0%"},
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{"Rolling Averaged Population Direction", "0%"},
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{"Rolling Averaged Population Magnitude", "0%"},
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{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
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};
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}
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}
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