Files
quantconnect--lean/Tests/Python/DataConsolidatorPythonWrapperTests.cs
T
Ricardo Andrés Marino Rojas b4bad69772
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Dynamically Adjust Risk Free Rate of Return (#7489)
* First attempt to solve the bug

* Enhance implementation

* Enhance implementation

* Simplify implementation

* Rebase regression stats

* Solve unit test bugs

* Review

* Update Rolling.Sharpe() method

* Update regression stats

* Update unit tests

* Update missing regression algos

* Update Rolling.cs

---------

Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
2023-10-02 13:42:28 -03:00

271 lines
10 KiB
C#

/*
* 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 NUnit.Framework;
using Python.Runtime;
using System.Collections.Generic;
using System.Linq;
using QuantConnect.Data.Consolidators;
using QuantConnect.Data.Market;
using QuantConnect.Python;
using QuantConnect.Algorithm;
using QuantConnect.Tests.Engine.DataFeeds;
namespace QuantConnect.Tests.Python
{
[TestFixture]
public class DataConsolidatorPythonWrapperTests
{
[Test]
public void UpdatePyConsolidator()
{
using (Py.GIL())
{
var module = PyModule.FromString(Guid.NewGuid().ToString(),
"from AlgorithmImports import *\n" +
"class CustomConsolidator():\n" +
" def __init__(self):\n" +
" self.UpdateWasCalled = False\n" +
" self.InputType = QuoteBar\n" +
" self.OutputType = QuoteBar\n" +
" self.Consolidated = None\n" +
" self.WorkingData = None\n" +
" def Update(self, data):\n" +
" self.UpdateWasCalled = True\n");
var customConsolidator = module.GetAttr("CustomConsolidator").Invoke();
var wrapper = new DataConsolidatorPythonWrapper(customConsolidator);
var time = DateTime.Today;
var period = TimeSpan.FromMinutes(1);
var bar1 = new QuoteBar
{
Time = time,
Symbol = Symbols.SPY,
Bid = new Bar(1, 2, 0.75m, 1.25m),
LastBidSize = 3,
Ask = null,
LastAskSize = 0,
Value = 1,
Period = period
};
wrapper.Update(bar1);
bool called;
customConsolidator.GetAttr("UpdateWasCalled").TryConvert(out called);
Assert.True(called);
}
}
[Test]
public void ScanPyConsolidator()
{
using (Py.GIL())
{
var module = PyModule.FromString(Guid.NewGuid().ToString(),
"from AlgorithmImports import *\n" +
"class CustomConsolidator():\n" +
" def __init__(self):\n" +
" self.ScanWasCalled = False\n" +
" self.InputType = QuoteBar\n" +
" self.OutputType = QuoteBar\n" +
" self.Consolidated = None\n" +
" self.WorkingData = None\n" +
" def Scan(self,time):\n" +
" self.ScanWasCalled = True\n");
var customConsolidator = module.GetAttr("CustomConsolidator").Invoke();
var wrapper = new DataConsolidatorPythonWrapper(customConsolidator);
var time = DateTime.Today;
var period = TimeSpan.FromMinutes(1);
wrapper.Scan(DateTime.Now);
bool called;
customConsolidator.GetAttr("ScanWasCalled").TryConvert(out called);
Assert.True(called);
}
}
[Test]
public void InputTypePyConsolidator()
{
using (Py.GIL())
{
var module = PyModule.FromString(Guid.NewGuid().ToString(),
"from AlgorithmImports import *\n" +
"class CustomConsolidator():\n" +
" def __init__(self):\n" +
" self.InputType = QuoteBar\n" +
" self.OutputType = QuoteBar\n" +
" self.Consolidated = None\n" +
" self.WorkingData = None\n");
var customConsolidator = module.GetAttr("CustomConsolidator").Invoke();
var wrapper = new DataConsolidatorPythonWrapper(customConsolidator);
var time = DateTime.Today;
var period = TimeSpan.FromMinutes(1);
var type = wrapper.InputType;
Assert.True(type == typeof(QuoteBar));
}
}
[Test]
public void OutputTypePyConsolidator()
{
using (Py.GIL())
{
var module = PyModule.FromString(Guid.NewGuid().ToString(),
"from AlgorithmImports import *\n" +
"class CustomConsolidator():\n" +
" def __init__(self):\n" +
" self.InputType = QuoteBar\n" +
" self.OutputType = QuoteBar\n" +
" self.Consolidated = None\n" +
" self.WorkingData = None\n");
var customConsolidator = module.GetAttr("CustomConsolidator").Invoke();
var wrapper = new DataConsolidatorPythonWrapper(customConsolidator);
var time = DateTime.Today;
var period = TimeSpan.FromMinutes(1);
var type = wrapper.OutputType;
Assert.True(type == typeof(QuoteBar));
}
}
[Test]
public void RunRegressionAlgorithm()
{
var parameter = new RegressionTests.AlgorithmStatisticsTestParameters("CustomConsolidatorRegressionAlgorithm",
new Dictionary<string, string> {
{"Total Trades", "30"},
{"Average Win", "0.32%"},
{"Average Loss", "-0.03%"},
{"Compounding Annual Return", "67.341%"},
{"Drawdown", "0.300%"},
{"Expectancy", "2.471"},
{"Net Profit", "1.087%"},
{"Sharpe Ratio", "6.832"},
{"Probabilistic Sharpe Ratio", "89.678%"},
{"Loss Rate", "73%"},
{"Win Rate", "27%"},
{"Profit-Loss Ratio", "12.02"},
{"Alpha", "0.344"},
{"Beta", "0.355"},
{"Annual Standard Deviation", "0.069"},
{"Annual Variance", "0.005"},
{"Information Ratio", "0.961"},
{"Tracking Error", "0.117"},
{"Treynor Ratio", "1.328"},
{"Total Fees", "$50.81"}
},
Language.Python,
AlgorithmStatus.Completed);
AlgorithmRunner.RunLocalBacktest(parameter.Algorithm,
parameter.Statistics,
parameter.Language,
parameter.ExpectedFinalStatus);
}
[Test]
public void AttachAndTriggerEvent()
{
using (Py.GIL())
{
var module = PyModule.FromString(Guid.NewGuid().ToString(),
"from AlgorithmImports import *\n" +
"class ImplementingClass():\n" +
" def __init__(self):\n" +
" self.EventCalled = False\n" +
" self.Consolidator = CustomConsolidator(timedelta(minutes=2))\n" +
" self.Consolidator.DataConsolidated += self.ConsolidatorEvent\n" +
" def ConsolidatorEvent(self, sender, bar):\n" +
" self.EventCalled = True\n" +
"class CustomConsolidator(QuoteBarConsolidator):\n" +
" def __init__(self,span):\n" +
" super().__init__(span)\n" +
" self.Span = span");
var implementingClass = module.GetAttr("ImplementingClass").Invoke();
var customConsolidator = implementingClass.GetAttr("Consolidator");
var wrapper = new DataConsolidatorPythonWrapper(customConsolidator);
bool called;
implementingClass.GetAttr("EventCalled").TryConvert(out called);
Assert.False(called);
var time = DateTime.Today;
var period = TimeSpan.FromMinutes(1);
var bar1 = new QuoteBar
{
Time = time,
Symbol = Symbols.SPY,
Bid = new Bar(1, 2, 0.75m, 1.25m),
LastBidSize = 3,
Ask = null,
LastAskSize = 0,
Value = 1,
Period = period
};
wrapper.Update(bar1);
wrapper.Scan(time.AddMinutes(2));
implementingClass.GetAttr("EventCalled").TryConvert(out called);
Assert.True(called);
}
}
[Test]
public void SubscriptionManagedDoesNotWrapCSharpConsolidators()
{
//Setup algorithm and Equity
var algorithm = new QCAlgorithm();
algorithm.SubscriptionManager.SetDataManager(new DataManagerStub(algorithm));
var spy = algorithm.AddEquity("SPY").Symbol;
using (Py.GIL())
{
var module = PyModule.FromString(Guid.NewGuid().ToString(),
"from AlgorithmImports import *\n" +
"consolidator = QuoteBarConsolidator(timedelta(5))");
var pyConsolidator = module.GetAttr("consolidator");
algorithm.SubscriptionManager.AddConsolidator(spy, pyConsolidator);
pyConsolidator.TryConvert(out IDataConsolidator consolidator);
algorithm.SubscriptionManager.RemoveConsolidator(spy, consolidator);
var count = algorithm.SubscriptionManager
.SubscriptionDataConfigService
.GetSubscriptionDataConfigs(spy)
.Sum(x => x.Consolidators.Count);
Assert.AreEqual(0, count);
}
}
}
}