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quantconnect--lean/Tests/Optimizer/Strategies/OptimizationStrategyTests.cs
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2026-07-13 13:02:50 +08:00

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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.
*
*/
using Newtonsoft.Json.Linq;
using NUnit.Framework;
using QuantConnect.Optimizer;
using QuantConnect.Optimizer.Objectives;
using QuantConnect.Optimizer.Parameters;
using QuantConnect.Optimizer.Strategies;
using QuantConnect.Util;
using System;
using System.Collections.Generic;
using System.Linq;
namespace QuantConnect.Tests.Optimizer.Strategies
{
public abstract class OptimizationStrategyTests
{
protected IOptimizationStrategy Strategy { get; set; }
protected static Func<ParameterSet, decimal> _profit { get; } = parameterSet => parameterSet.Value.Where(pair => pair.Key != "skipFromResultSum").Sum(arg => arg.Value.ToDecimal());
protected static Func<ParameterSet, decimal> _drawdown { get; } = parameterSet => parameterSet.Value.Where(pair => pair.Key != "skipFromResultSum").Sum(arg => arg.Value.ToDecimal()) / 100.0m;
protected static Func<string, string, decimal> _parse { get; } = (dump, parameter) => JObject.Parse(dump).SelectToken($"Statistics.{parameter}").Value<decimal>();
protected static Func<decimal, decimal, string> _stringify { get; } = (profit, drawdown) => BacktestResult.Create(profit, drawdown).ToJson();
private Queue<OptimizationResult> _pendingOptimizationResults;
[SetUp]
public void Init()
{
_pendingOptimizationResults = new Queue<OptimizationResult>();
Strategy = CreateStrategy();
Strategy.NewParameterSet += (s, parameterSet) =>
{
_pendingOptimizationResults.Enqueue(new OptimizationResult(_stringify(_profit(parameterSet), _drawdown(parameterSet)), parameterSet, ""));
};
}
[Test]
public void ThrowOnReinitialization()
{
int nextId = 1;
Strategy.NewParameterSet += (s, parameterSet) =>
{
Assert.AreEqual(nextId++, parameterSet.Id);
};
var set1 = new HashSet<OptimizationParameter>()
{
new OptimizationStepParameter("ema-fast", 10, 100, 1)
};
Strategy.Initialize(new Target("Profit", new Maximization(), null), new List<Constraint>(), set1, CreateSettings());
Strategy.PushNewResults(OptimizationResult.Initial);
Assert.Greater(nextId, 1);
var set2 = new HashSet<OptimizationParameter>()
{
new OptimizationStepParameter("ema-fast", 10, 100, 1),
new OptimizationStepParameter("ema-slow", 10, 100, 2)
};
Assert.Throws<InvalidOperationException>(() =>
{
Strategy.Initialize(new Target("Profit", new Minimization(), null), null, set2, CreateSettings());
});
}
[Test]
public void ThrowIfNotInitialized()
{
var strategy = new GridSearchOptimizationStrategy();
Assert.Throws<InvalidOperationException>(() =>
{
strategy.PushNewResults(OptimizationResult.Initial);
});
}
protected static HashSet<OptimizationParameter> OptimizationStepParameters = new HashSet<OptimizationParameter>
{
new OptimizationStepParameter("ema-slow", 1, 5, 1, 0.1m),
new OptimizationStepParameter("ema-fast", 3, 6, 2,0.1m)
};
protected static HashSet<OptimizationParameter> OptimizationMixedParameters = new HashSet<OptimizationParameter>
{
new OptimizationStepParameter("ema-slow", 1, 5, 1),
new OptimizationStepParameter("ema-fast", 3, 6.75m, 2,0.1m),
new StaticOptimizationParameter("skipFromResultSum", "SPY")
};
public virtual void StepInsideNoTargetNoConstraints(Extremum extremum, HashSet<OptimizationParameter> optimizationParameters, ParameterSet solution)
{
Strategy.Initialize(
new Target("Profit", extremum, null),
null,
optimizationParameters,
CreateSettings());
Strategy.PushNewResults(OptimizationResult.Initial);
while (_pendingOptimizationResults.TryDequeue(out var item))
{
Strategy.PushNewResults(item);
}
Assert.AreEqual(_profit(solution), _parse(Strategy.Solution.JsonBacktestResult, "Profit"));
foreach (var arg in Strategy.Solution.ParameterSet.Value)
{
Assert.AreEqual(solution.Value[arg.Key], arg.Value);
}
}
public virtual void StepInsideWithConstraints(decimal drawdown, HashSet<OptimizationParameter> optimizationParameters, ParameterSet solution)
{
Strategy.Initialize(
new Target("Profit", new Maximization(), null),
new List<Constraint> { new Constraint("Drawdown", ComparisonOperatorTypes.Less, drawdown) },
optimizationParameters,
CreateSettings());
Strategy.PushNewResults(OptimizationResult.Initial);
while (_pendingOptimizationResults.TryDequeue(out var item))
{
Strategy.PushNewResults(item);
}
Assert.AreEqual(_profit(solution), _parse(Strategy.Solution.JsonBacktestResult, "Profit"));
Assert.AreEqual(_drawdown(solution), _parse(Strategy.Solution.JsonBacktestResult, "Drawdown"));
foreach (var arg in Strategy.Solution.ParameterSet.Value)
{
Assert.AreEqual(solution.Value[arg.Key], arg.Value);
}
}
public virtual void StepInsideWithTarget(decimal targetValue, HashSet<OptimizationParameter> optimizationParameters, ParameterSet solution)
{
bool reached = false;
var target = new Target("Profit", new Maximization(), targetValue);
target.Reached += (s, e) =>
{
reached = true;
};
Strategy.Initialize(
target,
null,
optimizationParameters,
CreateSettings());
Strategy.PushNewResults(OptimizationResult.Initial);
while (!reached && _pendingOptimizationResults.TryDequeue(out var item))
{
Strategy.PushNewResults(item);
}
Assert.IsTrue(reached);
Assert.AreEqual(_profit(solution), _parse(Strategy.Solution.JsonBacktestResult, "Profit"));
foreach (var arg in Strategy.Solution.ParameterSet.Value)
{
Assert.AreEqual(solution.Value[arg.Key], arg.Value);
}
}
public virtual void TargetNotReached(decimal targetValue, HashSet<OptimizationParameter> optimizationParameters, ParameterSet solution)
{
bool reached = false;
var target = new Target("Profit", new Maximization(), targetValue);
target.Reached += (s, e) =>
{
reached = true;
};
Strategy.Initialize(
target,
null,
optimizationParameters,
CreateSettings());
Strategy.PushNewResults(OptimizationResult.Initial);
while (!reached && _pendingOptimizationResults.TryDequeue(out var item))
{
Strategy.PushNewResults(item);
}
Assert.IsFalse(reached);
Assert.AreEqual(_profit(solution), _parse(Strategy.Solution.JsonBacktestResult, "Profit"));
foreach (var arg in Strategy.Solution.ParameterSet.Value)
{
Assert.AreEqual(solution.Value[arg.Key], arg.Value);
}
}
protected static TestCaseData[] Estimations => new[]
{
new TestCaseData(OptimizationStepParameters, 10),
new TestCaseData(OptimizationMixedParameters,10)
};
[Test, TestCaseSource(nameof(Estimations))]
public virtual void Estimate(HashSet<OptimizationParameter> optimizationParameters, int expected)
{
Strategy.Initialize(
new Target("Profit", new Maximization(), null),
null,
optimizationParameters,
CreateSettings());
Assert.AreEqual(expected, Strategy.GetTotalBacktestEstimate());
}
protected abstract IOptimizationStrategy CreateStrategy();
protected abstract OptimizationStrategySettings CreateSettings();
}
}