EulerSearchOptimizationStrategy.cs

/*
 * 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 System.Collections.Generic;
using System.Linq;
using QuantConnect.Optimizer.Objectives;
using QuantConnect.Optimizer.Parameters;
 
namespace QuantConnect.Optimizer.Strategies
{
    /// <summary>
    /// Advanced brute-force strategy with search in-depth for best solution on previous step
    /// </summary>
    public class EulerSearchOptimizationStrategy : StepBaseOptimizationStrategy
    {
        private object _locker = new object();
        private readonly HashSet<ParameterSet> _runningParameterSet = new HashSet<ParameterSet>();
        private int _segmentsAmount = 4;
 
        /// <summary>
        /// Initializes the strategy using generator, extremum settings and optimization parameters
        /// </summary>
        /// <param name="target">The optimization target</param>
        /// <param name="constraints">The optimization constraints to apply on backtest results</param>
        /// <param name="parameters">Optimization parameters</param>
        /// <param name="settings">Optimization strategy settings</param>
        public override void Initialize(Target target, IReadOnlyList<Constraint> constraints, HashSet<OptimizationParameter> parameters, OptimizationStrategySettings settings)
        {
            var stepSettings = settings as StepBaseOptimizationStrategySettings;
            if (stepSettings == null)
            {
                throw new ArgumentNullException(nameof(settings),
                    "EulerSearchOptimizationStrategy.Initialize: Optimizations Strategy settings are required for this strategy");
            }
 
            if (stepSettings.DefaultSegmentAmount != 0)
            {
                _segmentsAmount = stepSettings.DefaultSegmentAmount;
            }
 
            base.Initialize(target, constraints, parameters, settings);
        }
 
        /// <summary>
        /// Checks whether new lean compute job better than previous and run new iteration if necessary.
        /// </summary>
        /// <param name="result">Lean compute job result and corresponding parameter set</param>
        public override void PushNewResults(OptimizationResult result)
        {
            if (!Initialized)
            {
                throw new InvalidOperationException($"EulerSearchOptimizationStrategy.PushNewResults: strategy has not been initialized yet.");
            }
 
            lock (_locker)
            {
                if (!ReferenceEquals(result, OptimizationResult.Initial) && string.IsNullOrEmpty(result?.JsonBacktestResult))
                {
                    // one of the requested backtests failed
                    _runningParameterSet.Remove(result.ParameterSet);
                    return;
                }
 
                // check if the incoming result is not the initial seed
                if (result.Id > 0)
                {
                    _runningParameterSet.Remove(result.ParameterSet);
                    ProcessNewResult(result);
                }
 
                if (_runningParameterSet.Count > 0)
                {
                    // we wait till all backtest end during each euler step
                    return;
                }
 
                // Once all running backtests have ended, for the current collection of optimization parameters, for each parameter we determine if
                // we can create a new smaller/finer optimization scope
                if (Target.Current.HasValue && OptimizationParameters.OfType<OptimizationStepParameter>().Any(s => s.Step > s.MinStep))
                {
                    var boundaries = new HashSet<OptimizationParameter>();
                    var parameterSet = Solution.ParameterSet;
                    foreach (var optimizationParameter in OptimizationParameters)
                    {
                        var optimizationStepParameter = optimizationParameter as OptimizationStepParameter;
                        if (optimizationStepParameter != null && optimizationStepParameter.Step > optimizationStepParameter.MinStep)
                        {
                            var newStep = Math.Max(optimizationStepParameter.MinStep.Value, optimizationStepParameter.Step.Value / _segmentsAmount);
                            var fractal = newStep * ((decimal)_segmentsAmount / 2);
                            var parameter = parameterSet.Value.First(s => s.Key == optimizationParameter.Name);
                            boundaries.Add(new OptimizationStepParameter(
                                optimizationParameter.Name,
                                Math.Max(optimizationStepParameter.MinValue, parameter.Value.ToDecimal() - fractal),
                                Math.Min(optimizationStepParameter.MaxValue, parameter.Value.ToDecimal() + fractal),
                                newStep,
                                optimizationStepParameter.MinStep.Value));
                        }
                        else
                        {
                            boundaries.Add(optimizationParameter);
                        }
                    }
 
                    foreach (var staticParam in OptimizationParameters.OfType<StaticOptimizationParameter>())
                    {
                        boundaries.Add(staticParam);
                    }
                    OptimizationParameters = boundaries;
                }
                else if (!ReferenceEquals(result, OptimizationResult.Initial))
                {
                    // we ended!
                    return;
                }
 
                foreach (var parameterSet in Step(OptimizationParameters))
                {
                    OnNewParameterSet(parameterSet);
                }
            }
        }
 
        /// <summary>
        /// Handles new parameter set
        /// </summary>
        /// <param name="parameterSet">New parameter set</param>
        protected override void OnNewParameterSet(ParameterSet parameterSet)
        {
            _runningParameterSet.Add(parameterSet);
            base.OnNewParameterSet(parameterSet);
        }
    }
}