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- `ITimeRules` are expected to yield time date in UTC, fixing `Noon`, `Midnight` and `Every` - `ScheduledUniverseSelectionModel` will use UTC time zone by default since that is the default expected time zone `ITimeRule` provides - Adding regression test
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143
Algorithm.CSharp/TimeRulesDefaultTimeZoneRegressionAlgorithm.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.Algorithm.Framework.Selection; | ||
using QuantConnect.Interfaces; | ||
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namespace QuantConnect.Algorithm.CSharp | ||
{ | ||
/// <summary> | ||
/// Regression algorithm which reproduces GH issue 3740. | ||
/// We assert the methods are triggered at the correct algorithm time | ||
/// </summary> | ||
public class TimeRulesDefaultTimeZoneRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition | ||
{ | ||
private int _scheduleEventEveryCallCount; | ||
private int _scheduleEventNoonCallCount; | ||
private int _scheduleEventMidnightCallCount; | ||
private int _selectionMethodCallCount; | ||
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public override void Initialize() | ||
{ | ||
SetStartDate(2017, 01, 01); | ||
SetEndDate(2017, 02, 01); | ||
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SetUniverseSelection(new ScheduledUniverseSelectionModel( | ||
DateRules.EveryDay(), | ||
TimeRules.At(9, 31), | ||
SelectSymbolsAt | ||
)); | ||
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Schedule.On(DateRules.EveryDay(), TimeRules.Every(TimeSpan.FromHours(6)), () => | ||
{ | ||
_scheduleEventEveryCallCount++; | ||
if (Time.Hour != 0 | ||
&& Time.Hour != 6 | ||
&& Time.Hour != 12 | ||
&& Time.Hour != 18) | ||
{ | ||
throw new Exception($"Unexpected every 6 hours scheduled event time: {Time}"); | ||
} | ||
}); | ||
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Schedule.On(DateRules.EveryDay(), TimeRules.Noon, () => | ||
{ | ||
_scheduleEventNoonCallCount++; | ||
if (Time.Hour != 12) | ||
{ | ||
throw new Exception($"Unexpected Noon scheduled event time: {Time}"); | ||
} | ||
}); | ||
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Schedule.On(DateRules.EveryDay(), TimeRules.Midnight, () => | ||
{ | ||
_scheduleEventMidnightCallCount++; | ||
if (Time.Hour != 0) | ||
{ | ||
throw new Exception($"Unexpected Midnight scheduled event time: {Time}"); | ||
} | ||
}); | ||
} | ||
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private IEnumerable<Symbol> SelectSymbolsAt(DateTime dateTime) | ||
{ | ||
_selectionMethodCallCount++; | ||
Log($"SelectSymbolsAt {Time}"); | ||
if (Time.TimeOfDay != new TimeSpan(9, 31, 0)) | ||
{ | ||
throw new Exception($"Expected 'SelectSymbolsAt' to be called at 9:31 algorithm time: {Time}"); | ||
} | ||
yield break; | ||
} | ||
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public override void OnEndOfAlgorithm() | ||
{ | ||
if (_selectionMethodCallCount != 32) | ||
{ | ||
throw new Exception($"Unexpected universe selection call count: {_selectionMethodCallCount}"); | ||
} | ||
if (_scheduleEventEveryCallCount != 130) | ||
{ | ||
throw new Exception($"Unexpected scheduled event call count: {_scheduleEventEveryCallCount}"); | ||
} | ||
if (_scheduleEventNoonCallCount != 32) | ||
{ | ||
throw new Exception($"Unexpected scheduled event call count: {_scheduleEventNoonCallCount}"); | ||
} | ||
if (_scheduleEventMidnightCallCount != 33) | ||
{ | ||
throw new Exception($"Unexpected scheduled event call count: {_scheduleEventMidnightCallCount}"); | ||
} | ||
} | ||
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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> | ||
/// 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 Trades", "0"}, | ||
{"Average Win", "0%"}, | ||
{"Average Loss", "0%"}, | ||
{"Compounding Annual Return", "0%"}, | ||
{"Drawdown", "0%"}, | ||
{"Expectancy", "0"}, | ||
{"Net Profit", "0%"}, | ||
{"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"} | ||
}; | ||
} | ||
} |
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