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Revert parts of GH PR 8395 to fix 0DTE index options
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103 changes: 103 additions & 0 deletions
103
Algorithm.CSharp/ZeroDTEIndexOptionsRegressionAlgorithm.cs
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Original file line number | Diff line number | Diff line change |
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/* | ||
* 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 System.Linq; | ||
using QuantConnect.Interfaces; | ||
using QuantConnect.Data.UniverseSelection; | ||
using QuantConnect.Securities; | ||
using QuantConnect.Data; | ||
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||
namespace QuantConnect.Algorithm.CSharp | ||
{ | ||
/// <summary> | ||
/// Algorithm asserting that options are selected every day and that selection for 0DTE contracts works as expected, | ||
/// always including the contracts that expire the same date the option chain belongs to. | ||
/// </summary> | ||
public class ZeroDTEIndexOptionsRegressionAlgorithm : ZeroDTEOptionsRegressionAlgorithm | ||
{ | ||
public override void Initialize() | ||
{ | ||
SetStartDate(2021, 01, 15); | ||
SetEndDate(2021, 01, 15); | ||
SetCash(100000); | ||
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var index = AddIndex("SPX"); | ||
var indexOption = AddIndexOption(index.Symbol); | ||
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indexOption.SetFilter(u => u.IncludeWeeklys().Expiration(0, 0)); | ||
_option = indexOption; | ||
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// use the underlying equity as the benchmark | ||
SetBenchmark(index.Symbol); | ||
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_selectionDays = new List<DateTime>() | ||
{ | ||
new DateTime(2021, 01, 15), | ||
}; | ||
} | ||
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/// <summary> | ||
/// Data Points count of all timeslices of algorithm | ||
/// </summary> | ||
public override long DataPoints => 27; | ||
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/// <summary> | ||
/// Data Points count of the algorithm history | ||
/// </summary> | ||
public override int AlgorithmHistoryDataPoints => 0; | ||
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/// <summary> | ||
/// Final status of the algorithm | ||
/// </summary> | ||
public override AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed; | ||
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/// <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 Dictionary<string, string> | ||
{ | ||
{"Total Orders", "0"}, | ||
{"Average Win", "0%"}, | ||
{"Average Loss", "0%"}, | ||
{"Compounding Annual Return", "0%"}, | ||
{"Drawdown", "0%"}, | ||
{"Expectancy", "0"}, | ||
{"Start Equity", "100000"}, | ||
{"End Equity", "100000"}, | ||
{"Net Profit", "0%"}, | ||
{"Sharpe Ratio", "0"}, | ||
{"Sortino Ratio", "0"}, | ||
{"Probabilistic Sharpe Ratio", "0%"}, | ||
{"Loss Rate", "0%"}, | ||
{"Win Rate", "0%"}, | ||
{"Profit-Loss Ratio", "0"}, | ||
{"Alpha", "0"}, | ||
{"Beta", "0"}, | ||
{"Annual Standard Deviation", "0"}, | ||
{"Annual Variance", "0"}, | ||
{"Information Ratio", "0"}, | ||
{"Tracking Error", "0"}, | ||
{"Treynor Ratio", "0"}, | ||
{"Total Fees", "$0.00"}, | ||
{"Estimated Strategy Capacity", "$0"}, | ||
{"Lowest Capacity Asset", ""}, | ||
{"Portfolio Turnover", "0%"}, | ||
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"} | ||
}; | ||
} | ||
} |
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