Files
quantconnect--lean/Tests/Optimizer/Objectives/TargetTests.cs
Adalyat Nazirov a4f66628fd Lean Optimization interface in QCAlgorithm (#4923)
* initial commit

* run parametrized algorithm with command line parameters

* skeleton: top level structure

* OptimizationNodePacket scheme

* pass parameters as HashSet

* run Lean and read results

* call method on optimization completion

* refactor public interfaces

- close ParameterSet collection; allow only get operations
- explicit method to start LeanOptimizer

* synchronize RunLean method; the result could come in before the backtest id is set in the collections

* another portion of refactoring and interface changes

* comments

* comments & tests for Extremum, Minimization and Maximization classes

* unify optimization paramater values (min, max, step) & mode GridSearch tests

- swap min&max if necessary
- iterate left => right (negate step value if necessary) & provide default step value if step == 0
- no StackOverflow Exception
- parameterSet Id should be global for current generator and retain between steps
- test signle point boundary (min == max)

* BruteForceStrategy tests

* more comments

* Update Optimizer assembly information

- Update Optimizer projects assembly information to match behavior of
  the other projects

* Tweaks

- Adding comments
- Replace OnComplete for Ended event
- Replace Abort for Dispose
- ConsoleLeanOptimizer will keep track of running processes
- Each backtest will store results in a separated directory, so they
  don't fight for the log.txt file.
- Adding cmdline option for lean to close automatically
- Adding concurrent execution backtest limit
- Console optimizer will start Lean minimized
- Escape spaces in Json path

* remove parameter set generator abstraction layer

we don't need this flexibility now.

* refactor public methods; Step shouldn't be public

* constraints: wip

* define contract

* comparison operators and tests

* specify JsonProperty values

* Move SafeMultiply100 to extensions

* Throw exception on failed Optimizer.Start

* constraints: wip

* change finish & dispose process

* minor fixes

- handle force lean abort
- notify consumer if target has been reached

* target & constraints; adapt unit tests

* Minor Tweaks and fixes

- Some logging improvements
- Remove Public since not required

* Ignore empty ParameterValue

* simplify condition

* avoid reinitialization

* reduce type; force immutable

* unit tests for constraints  and target value

* parse & normalize percent values, i.e. 20% => 0.2

* fixup

* Target & Constraint & OptimizationNodePacket unit tests

* Add more json unit tests

- Adding more json conversion unit tests. Fix bug for Extremum which
  wasn't using the converter.

* LeanOptimizer tests

* Estimation results

* User thread safe counters

* LeanOptimizer unit tests; push OptimizationResult on Ended event

* more unit tests

* Minor tweaks

-Estimate ToString in a single line.
-Typos and missing header file

* Add base SendUpdate method

- Add base SendUpdate method for LeanOptimizer

* fix LeanOptimizer test; rely on internal Update rather than timer

* Add OptimizationStatus

- Add missing commments and OptimizationStatus

* EulerSearch implementation: wip

* OptimizationParameter custom converter

* change the type

* make step optional

* change folder structure

* enumerate optimization parameter using IEnumerable & IEnumerator

* unit tests: parameters & objectives

* unit tests: strategies

* remove redundant TODO

* change Euler search boundaries

* more Euler tests

* prevent race condition

* Add account/read endpoint

- Adding account/read endpoint. Adding unit test

* Add status check before running lean

* Minor self review

- Adding missing comments, minor changes

* remove array parameters

* minor changes

- tidy up config file, rename variable
- accept min less or equal than max

* move OptimizationParameter methods to strategies

* Minor improvements for BaseResultHandler derivates

* minor changes

- strict requirements for Step and MinStep values
- strategy specific settigs

* Add TotalRuntime to estimate

Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
2020-12-02 20:10:40 -03:00

143 lines
4.7 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 Newtonsoft.Json;
using NUnit.Framework;
using QuantConnect.Optimizer.Objectives;
using System;
namespace QuantConnect.Tests.Optimizer.Objectives
{
[TestFixture, Parallelizable(ParallelScope.All)]
public class TargetTests
{
[Test]
public void MoveAheadNoTarget()
{
var target = new Target("Profit", new Maximization(), null);
Assert.IsTrue(target.MoveAhead(BacktestResult.Create(profit: 10m).ToJson()));
Assert.AreEqual(10m, target.Current);
Assert.IsFalse(target.MoveAhead(BacktestResult.Create(profit: 5m).ToJson()));
Assert.AreEqual(10m, target.Current);
Assert.IsTrue(target.MoveAhead(BacktestResult.Create(profit: 15m).ToJson()));
Assert.AreEqual(15m, target.Current);
}
[Test]
public void MoveAheadReachFirst()
{
var target = new Target("Profit", new Minimization(), 100);
bool reached = false;
target.Reached += (s, e) =>
{
reached = true;
};
Assert.IsTrue(target.MoveAhead(BacktestResult.Create(profit: 10m).ToJson()));
target.CheckCompliance();
Assert.AreEqual(10m, target.Current);
Assert.IsTrue(reached);
}
[Test]
public void MoveAheadReachLast()
{
var target = new Target("Profit", new Minimization(), 100);
bool reached = false;
target.Reached += (s, e) =>
{
reached = true;
};
for (var profit = 500m; profit > 0; profit -= 50)
{
Assert.IsTrue(target.MoveAhead(BacktestResult.Create(profit: profit).ToJson()));
Assert.AreEqual(profit, target.Current);
target.CheckCompliance();
}
Assert.IsTrue(reached);
}
[TestCase("")]
[TestCase(null)]
public void ThrowIfNullOrEmpty(string json)
{
var target = new Target("Profit", new Maximization(), null);
Assert.Throws<ArgumentNullException>(() =>
{
target.MoveAhead(json);
});
}
[Test]
public void IgnoreBadJson()
{
var target = new Target("Profit", new Maximization(), null);
Assert.IsFalse(target.MoveAhead("{\"Profit\":10}"));
Assert.AreEqual(null, target.Current);
}
[TestCase("Sharpe Ratio")]
[TestCase("Statistics.Sharpe Ratio")]
[TestCase("['Statistics'].['Sharpe Ratio']")]
public void ParseTargetName(string targetName)
{
var target = new Target(targetName, new Minimization(), 100);
Assert.AreEqual("['Statistics'].['Sharpe Ratio']", target.Target);
}
[TestCase("null")]
[TestCase("11")]
public void FromJson(string value)
{
var json = $"{{\"extremum\": \"max\",\"target\": \"pin ocho.Gepetto\",\"target-value\": {value}}}";
var target = (Target)JsonConvert.DeserializeObject(json, typeof(Target));
Assert.AreEqual("['pin ocho'].['Gepetto']", target.Target);
Assert.AreEqual(typeof(Maximization), target.Extremum.GetType());
if (value == "null")
{
Assert.IsNull(target.TargetValue);
}
else
{
Assert.AreEqual(11, target.TargetValue);
}
}
[Test]
public void RoundTrip()
{
var origin = new Target("['Statistics'].['Drawdown']", new Maximization(), 100);
var json = JsonConvert.SerializeObject(origin);
var actual = JsonConvert.DeserializeObject<Target>(json);
Assert.NotNull(actual);
Assert.AreEqual(origin.Target, actual.Target);
Assert.AreEqual(origin.Extremum.GetType(), actual.Extremum.GetType());
Assert.AreEqual(origin.TargetValue, actual.TargetValue);
}
}
}