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* Async universe selection - Add support for async universe selection, which will happen ahead of time in the data stack for a performance improvement * Thrown if using Coarse+Fine Asynchronous Universe selectioon
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Algorithm.CSharp/AsynchronousUniverseRegressionAlgorithm.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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namespace QuantConnect.Algorithm.CSharp | ||
{ | ||
/// <summary> | ||
/// Example algorithm using the asynchronous universe selection functionality | ||
/// </summary> | ||
public class AsynchronousUniverseRegressionAlgorithm : FundamentalRegressionAlgorithm | ||
{ | ||
/// <summary> | ||
/// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized. | ||
/// </summary> | ||
public override void Initialize() | ||
{ | ||
base.Initialize(); | ||
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UniverseSettings.Asynchronous = true; | ||
} | ||
} | ||
} |
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Algorithm.CSharp/CoarseFineAsyncUniverseRegressionAlgorithm.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.Linq; | ||
using QuantConnect.Interfaces; | ||
using System.Collections.Generic; | ||
using QuantConnect.Data.Fundamental; | ||
using QuantConnect.Data.UniverseSelection; | ||
using QuantConnect.Algorithm.Framework.Selection; | ||
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namespace QuantConnect.Algorithm.CSharp | ||
{ | ||
/// <summary> | ||
/// Regression algorithm asserting that using separate coarse & fine selection with async universe settings is not allowed | ||
/// </summary> | ||
public class CoarseFineAsyncUniverseRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition | ||
{ | ||
/// <summary> | ||
/// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized. | ||
/// </summary> | ||
public override void Initialize() | ||
{ | ||
SetStartDate(2013, 10, 07); | ||
SetEndDate(2013, 10, 11); | ||
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UniverseSettings.Asynchronous = true; | ||
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var threwException = false; | ||
try | ||
{ | ||
AddUniverse(CoarseSelectionFunction, FineSelectionFunction); | ||
} | ||
catch (ArgumentException) | ||
{ | ||
threwException = true; | ||
// expected | ||
} | ||
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if (!threwException) | ||
{ | ||
throw new Exception("Expected exception to be thrown for AddUniverse"); | ||
} | ||
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SetUniverseSelection(new FineFundamentalUniverseSelectionModel(CoarseSelectionFunction, FineSelectionFunction)); | ||
} | ||
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private IEnumerable<Symbol> CoarseSelectionFunction(IEnumerable<CoarseFundamental> coarse) | ||
{ | ||
return Enumerable.Empty<Symbol>(); | ||
} | ||
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private IEnumerable<Symbol> FineSelectionFunction(IEnumerable<FineFundamental> fine) | ||
{ | ||
return Enumerable.Empty<Symbol>(); | ||
} | ||
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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, Language.Python }; | ||
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/// <summary> | ||
/// Data Points count of all timeslices of algorithm | ||
/// </summary> | ||
public long DataPoints => 0; | ||
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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> | ||
{ | ||
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"} | ||
}; | ||
} | ||
} |
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24 changes: 24 additions & 0 deletions
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Algorithm.Python/AsynchronousUniverseRegressionAlgorithm.py
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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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from AlgorithmImports import * | ||
from FundamentalRegressionAlgorithm import FundamentalRegressionAlgorithm | ||
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### <summary> | ||
### Example algorithm using the asynchronous universe selection functionality | ||
### </summary> | ||
class AsynchronousUniverseRegressionAlgorithm(FundamentalRegressionAlgorithm): | ||
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def Initialize(self): | ||
super().Initialize() | ||
self.UniverseSettings.Asynchronous = True |
46 changes: 46 additions & 0 deletions
46
Algorithm.Python/CoarseFineAsyncUniverseRegressionAlgorithm.py
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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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from AlgorithmImports import * | ||
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### <summary> | ||
### Regression algorithm asserting that using separate coarse & fine selection with async universe settings is not allowed | ||
### </summary> | ||
class CoarseFineAsyncUniverseRegressionAlgorithm(QCAlgorithm): | ||
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def Initialize(self): | ||
'''Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.''' | ||
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self.SetStartDate(2013, 10, 7) | ||
self.SetEndDate(2013, 10, 11) | ||
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self.UniverseSettings.Asynchronous = True | ||
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threw_exception = False | ||
try: | ||
self.AddUniverse(self.CoarseSelectionFunction, self.FineSelectionFunction) | ||
except: | ||
# expected | ||
threw_exception = True | ||
pass | ||
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if not threw_exception: | ||
raise ValueError("Expected exception to be thrown for AddUniverse") | ||
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self.SetUniverseSelection(FineFundamentalUniverseSelectionModel(self.CoarseSelectionFunction, self.FineSelectionFunction)) | ||
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def CoarseSelectionFunction(self, coarse): | ||
return [] | ||
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def FineSelectionFunction(self, fine): | ||
return [] |
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