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quantconnect--lean/Tests/Algorithm/Framework/Alphas/EmaCrossAlphaModelTests.cs
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2026-07-13 13:02:50 +08:00

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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 NUnit.Framework;
using Python.Runtime;
using QuantConnect.Algorithm.Framework.Alphas;
using System;
using System.Collections.Generic;
using QuantConnect.Data.UniverseSelection;
using QuantConnect.Algorithm.Framework.Selection;
using QuantConnect.Util;
using QuantConnect.Tests.Common.Data.UniverseSelection;
namespace QuantConnect.Tests.Algorithm.Framework.Alphas
{
[TestFixture]
public class EmaCrossAlphaModelTests : CommonAlphaModelTests
{
protected override IAlphaModel CreateCSharpAlphaModel() => new EmaCrossAlphaModel();
protected override IAlphaModel CreatePythonAlphaModel()
{
using (Py.GIL())
{
dynamic model = Py.Import("EmaCrossAlphaModel").GetAttr("EmaCrossAlphaModel");
var instance = model();
return new AlphaModelPythonWrapper(instance);
}
}
protected override IEnumerable<Insight> ExpectedInsights()
{
var period = TimeSpan.FromDays(12);
return new[]
{
Insight.Price(Symbols.SPY, period, InsightDirection.Down),
Insight.Price(Symbols.SPY, period, InsightDirection.Up)
};
}
protected override string GetExpectedModelName(IAlphaModel model)
{
return $"{nameof(EmaCrossAlphaModel)}(12,26,Daily)";
}
[Test]
public void WarmsUpProperly()
{
SetUpHistoryProvider();
Algorithm.SetStartDate(2013, 10, 08);
Algorithm.SetUniverseSelection(new ManualUniverseSelectionModel());
// Create a EmaCrossAlphaModel for the test
var model = new TestEmaCrossAlphaModel();
// Set the alpha model
Algorithm.SetAlpha(model);
Algorithm.SetUniverseSelection(new ManualUniverseSelectionModel());
var changes = SecurityChangesTests.CreateNonInternal(AddedSecurities, RemovedSecurities);
Algorithm.OnFrameworkSecuritiesChanged(changes);
// Get the dictionary of macd indicators
var symbolData = model.GetSymbolData();
// Check the symbolData dictionary is not empty
Assert.NotZero(symbolData.Count);
// Check all EmaCross indicators from the alpha are ready and have at least
// one datapoint
foreach (var item in symbolData)
{
var fast = item.Value.Fast;
var slow = item.Value.Slow;
Assert.IsTrue(fast.IsReady);
Assert.NotZero(fast.Samples);
Assert.IsTrue(slow.IsReady);
Assert.NotZero(slow.Samples);
}
}
[Test]
public void PythonVersionWarmsUpProperly()
{
using (Py.GIL())
{
SetUpHistoryProvider();
Algorithm.SetStartDate(2013, 10, 08);
Algorithm.SetUniverseSelection(new ManualUniverseSelectionModel());
// Create and set alpha model
dynamic model = Py.Import("EmaCrossAlphaModel").GetAttr("EmaCrossAlphaModel");
var instance = model();
Algorithm.SetAlpha(instance);
var changes = SecurityChangesTests.CreateNonInternal(AddedSecurities, RemovedSecurities);
Algorithm.OnFrameworkSecuritiesChanged(changes);
// Get the dictionary of ema cross indicators
var symbolData = instance.symbol_data_by_symbol;
// Check the dictionary is not empty
Assert.NotZero(symbolData.Length());
// Check all Ema Cross indicators from the alpha are ready and have at least
// one datapoint
foreach (var item in symbolData)
{
var fast = symbolData[item].fast;
var slow = symbolData[item].slow;
Assert.IsTrue(fast.IsReady.IsTrue());
Assert.NotZero(((PyObject)fast.Samples).GetAndDispose<int>());
Assert.IsTrue(slow.IsReady.IsTrue());
Assert.NotZero(((PyObject)slow.Samples).GetAndDispose<int>());
}
}
}
}
}