34676f0c46
* Convert to timespan if possible * Fix to support both timespans and custom consolidators * Adjust tests for new wrapper requirements * Cleanup
250 lines
10 KiB
C#
250 lines
10 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 NUnit.Framework;
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using Python.Runtime;
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using System.Collections.Generic;
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using QuantConnect.Data.Market;
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using QuantConnect.Python;
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namespace QuantConnect.Tests.Python
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{
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[TestFixture]
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public class DataConsolidatorPythonWrapperTests
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{
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[Test]
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public void UpdatePyConsolidator()
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{
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using (Py.GIL())
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{
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var module = PythonEngine.ModuleFromString(Guid.NewGuid().ToString(),
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"from clr import AddReference\n" +
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"AddReference(\"QuantConnect.Common\")\n" +
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"from QuantConnect import *\n" +
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"from QuantConnect.Data.Market import *\n" +
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"class CustomConsolidator():\n" +
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" def __init__(self):\n" +
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" self.UpdateWasCalled = False\n" +
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" self.InputType = QuoteBar\n" +
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" self.OutputType = QuoteBar\n" +
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" self.Consolidated = None\n" +
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" self.WorkingData = None\n" +
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" def Update(self, data):\n" +
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" self.UpdateWasCalled = True\n");
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var customConsolidator = module.GetAttr("CustomConsolidator").Invoke();
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var wrapper = new DataConsolidatorPythonWrapper(customConsolidator);
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var time = DateTime.Today;
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var period = TimeSpan.FromMinutes(1);
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var bar1 = new QuoteBar
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{
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Time = time,
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Symbol = Symbols.SPY,
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Bid = new Bar(1, 2, 0.75m, 1.25m),
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LastBidSize = 3,
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Ask = null,
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LastAskSize = 0,
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Value = 1,
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Period = period
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};
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wrapper.Update(bar1);
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bool called;
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customConsolidator.GetAttr("UpdateWasCalled").TryConvert(out called);
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Assert.True(called);
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}
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}
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[Test]
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public void ScanPyConsolidator()
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{
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using (Py.GIL())
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{
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var module = PythonEngine.ModuleFromString(Guid.NewGuid().ToString(),
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"from clr import AddReference\n" +
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"AddReference(\"QuantConnect.Common\")\n" +
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"from QuantConnect import *\n" +
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"from QuantConnect.Data.Market import *\n" +
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"class CustomConsolidator():\n" +
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" def __init__(self):\n" +
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" self.ScanWasCalled = False\n" +
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" self.InputType = QuoteBar\n" +
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" self.OutputType = QuoteBar\n" +
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" self.Consolidated = None\n" +
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" self.WorkingData = None\n" +
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" def Scan(self,time):\n" +
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" self.ScanWasCalled = True\n");
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var customConsolidator = module.GetAttr("CustomConsolidator").Invoke();
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var wrapper = new DataConsolidatorPythonWrapper(customConsolidator);
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var time = DateTime.Today;
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var period = TimeSpan.FromMinutes(1);
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wrapper.Scan(DateTime.Now);
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bool called;
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customConsolidator.GetAttr("ScanWasCalled").TryConvert(out called);
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Assert.True(called);
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}
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}
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[Test]
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public void InputTypePyConsolidator()
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{
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using (Py.GIL())
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{
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var module = PythonEngine.ModuleFromString(Guid.NewGuid().ToString(),
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"from clr import AddReference\n" +
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"AddReference(\"QuantConnect.Common\")\n" +
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"from QuantConnect import *\n" +
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"from QuantConnect.Data.Market import *\n" +
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"class CustomConsolidator():\n" +
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" def __init__(self):\n" +
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" self.InputType = QuoteBar\n" +
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" self.OutputType = QuoteBar\n" +
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" self.Consolidated = None\n" +
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" self.WorkingData = None\n");
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var customConsolidator = module.GetAttr("CustomConsolidator").Invoke();
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var wrapper = new DataConsolidatorPythonWrapper(customConsolidator);
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var time = DateTime.Today;
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var period = TimeSpan.FromMinutes(1);
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var type = wrapper.InputType;
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Assert.True(type == typeof(QuoteBar));
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}
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}
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[Test]
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public void OutputTypePyConsolidator()
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{
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using (Py.GIL())
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{
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var module = PythonEngine.ModuleFromString(Guid.NewGuid().ToString(),
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"from clr import AddReference\n" +
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"AddReference(\"QuantConnect.Common\")\n" +
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"from QuantConnect import *\n" +
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"from QuantConnect.Data.Market import *\n" +
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"class CustomConsolidator():\n" +
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" def __init__(self):\n" +
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" self.InputType = QuoteBar\n" +
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" self.OutputType = QuoteBar\n" +
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" self.Consolidated = None\n" +
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" self.WorkingData = None\n");
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var customConsolidator = module.GetAttr("CustomConsolidator").Invoke();
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var wrapper = new DataConsolidatorPythonWrapper(customConsolidator);
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var time = DateTime.Today;
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var period = TimeSpan.FromMinutes(1);
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var type = wrapper.OutputType;
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Assert.True(type == typeof(QuoteBar));
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}
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}
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[Test]
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public void RunRegressionAlgorithm()
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{
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var parameter = new RegressionTests.AlgorithmStatisticsTestParameters("CustomConsolidatorRegressionAlgorithm",
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new Dictionary<string, string> {
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{"Total Trades", "32"},
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{"Average Win", "0.42%"},
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{"Average Loss", "-0.02%"},
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{"Compounding Annual Return", "66.060%"},
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{"Drawdown", "0.300%"},
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{"Expectancy", "2.979"},
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{"Net Profit", "1.071%"},
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{"Sharpe Ratio", "8.939"},
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{"Probabilistic Sharpe Ratio", "88.793%"},
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{"Loss Rate", "81%"},
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{"Win Rate", "19%"},
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{"Profit-Loss Ratio", "20.22"},
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{"Alpha", "0.528"},
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{"Beta", "0.35"},
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{"Annual Standard Deviation", "0.08"},
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{"Annual Variance", "0.006"},
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{"Information Ratio", "1.287"},
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{"Tracking Error", "0.141"},
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{"Treynor Ratio", "2.045"},
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{"Total Fees", "$51.40"}
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},
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Language.Python,
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AlgorithmStatus.Completed);
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AlgorithmRunner.RunLocalBacktest(parameter.Algorithm,
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parameter.Statistics,
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parameter.AlphaStatistics,
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parameter.Language,
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parameter.ExpectedFinalStatus);
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}
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[Test]
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public void AttachAndTriggerEvent()
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{
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using (Py.GIL())
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{
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var module = PythonEngine.ModuleFromString(Guid.NewGuid().ToString(),
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"from clr import AddReference\n" +
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"AddReference(\"QuantConnect.Common\")\n" +
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"from QuantConnect import *\n" +
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"from QuantConnect.Data.Consolidators import *\n" +
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"from datetime import *\n" +
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"class ImplementingClass():\n" +
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" def __init__(self):\n" +
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" self.EventCalled = False\n" +
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" self.Consolidator = CustomConsolidator(timedelta(minutes=1))\n" +
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" self.Consolidator.DataConsolidated += self.ConsolidatorEvent\n" +
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" def ConsolidatorEvent(self, sender, bar):\n" +
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" self.EventCalled = True\n" +
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"class CustomConsolidator(QuoteBarConsolidator):\n" +
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" def __init__(self,span):\n" +
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" self.Span = span");
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var implementingClass = module.GetAttr("ImplementingClass").Invoke();
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var customConsolidator = implementingClass.GetAttr("Consolidator");
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var wrapper = new DataConsolidatorPythonWrapper(customConsolidator);
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bool called;
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implementingClass.GetAttr("EventCalled").TryConvert(out called);
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Assert.False(called);
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var time = DateTime.Today;
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var period = TimeSpan.FromMinutes(1);
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var bar1 = new QuoteBar
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{
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Time = time,
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Symbol = Symbols.SPY,
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Bid = new Bar(1, 2, 0.75m, 1.25m),
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LastBidSize = 3,
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Ask = null,
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LastAskSize = 0,
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Value = 1,
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Period = period
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};
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wrapper.Update(bar1);
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wrapper.Scan(time.AddMinutes(1));
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implementingClass.GetAttr("EventCalled").TryConvert(out called);
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Assert.True(called);
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}
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}
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}
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} |