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Fix fill forward resolution adjustment on removal (QuantConnect#8049)
* Fix fill forward resolution adjustment on removal - Fix fill forward resolution adjustment on subscription removal. Adding regression algorithm reproducing issue * Minor fix for undeterminism behavior on security removals and FF res change * Further improvements and determinism - Improve regression algorithm add, remove and readd future, asserting FF resolution changes - Adjust universe selection to be deterministic and avoid unnecessary FF resolution changes
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Algorithm.CSharp/FillForwardResolutionAdjustedOnRemovalRegressionAlgorithm.cs
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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. | ||
*/ | ||
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using System; | ||
using System.Collections.Generic; | ||
using QuantConnect.Data; | ||
using QuantConnect.Interfaces; | ||
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namespace QuantConnect.Algorithm.CSharp | ||
{ | ||
/// <summary> | ||
/// Regression algorithm reproduces GH issue #8023, where fill forward resolution will no get updated in some cases on security removals | ||
/// </summary> | ||
public class FillForwardResolutionAdjustedOnRemovalRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition | ||
{ | ||
private readonly Queue<DateTime> _expectedDataTimes = new(new DateTime[] | ||
{ | ||
new DateTime(2013, 10, 7, 9, 31, 0), | ||
new DateTime(2013, 10, 8, 0, 0, 0), | ||
new DateTime(2013, 10, 9, 0, 0, 0), | ||
new DateTime(2013, 10, 9, 0, 0, 0), // TODO | ||
new DateTime(2013, 10, 9, 9, 31, 0), | ||
new DateTime(2013, 10, 10, 0, 0, 0), | ||
new DateTime(2013, 10, 11, 0, 0, 0) | ||
}); | ||
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public override void Initialize() | ||
{ | ||
SetStartDate(2013, 10, 07); | ||
SetEndDate(2013, 10, 10); | ||
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AddFuture("ES", Resolution.Minute); | ||
AddEquity("SPY", Resolution.Daily); | ||
} | ||
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/// <summary> | ||
/// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here. | ||
/// </summary> | ||
/// <param name="data">Slice object keyed by symbol containing the stock data</param> | ||
public override void OnData(Slice data) | ||
{ | ||
if (_expectedDataTimes.Dequeue() != Time) | ||
{ | ||
throw new Exception($"Unexpected data time {Time}!"); | ||
} | ||
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if (ActiveSecurities.ContainsKey("/ES")) | ||
{ | ||
if (data.ContainsKey("/ES")) | ||
{ | ||
RemoveSecurity("/ES"); | ||
} | ||
} | ||
else if (Time == new DateTime(2013, 10, 9, 0, 0, 0)) | ||
{ | ||
// let's re add it | ||
AddFuture("ES", Resolution.Minute); | ||
} | ||
} | ||
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public override void OnEndOfAlgorithm() | ||
{ | ||
if (_expectedDataTimes.Count != 0) | ||
{ | ||
throw new Exception($"OnEndOfAlgorithm(): Unexpected data times!"); | ||
} | ||
} | ||
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/// <summary> | ||
/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm. | ||
/// </summary> | ||
public bool CanRunLocally { get; } = true; | ||
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/// <summary> | ||
/// This is used by the regression test system to indicate which languages this algorithm is written in. | ||
/// </summary> | ||
public Language[] Languages { get; } = { Language.CSharp }; | ||
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/// <summary> | ||
/// Data Points count of all timeslices of algorithm | ||
/// </summary> | ||
public long DataPoints => 96; | ||
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/// <summary> | ||
/// Data Points count of the algorithm history | ||
/// </summary> | ||
public int AlgorithmHistoryDataPoints => 0; | ||
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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 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", "-5.677"}, | ||
{"Tracking Error", "0.271"}, | ||
{"Treynor Ratio", "0"}, | ||
{"Total Fees", "$0.00"}, | ||
{"Estimated Strategy Capacity", "$0"}, | ||
{"Lowest Capacity Asset", ""}, | ||
{"Portfolio Turnover", "0%"}, | ||
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"} | ||
}; | ||
} | ||
} |
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