Files
quantconnect--lean/Engine/Alphas/ChartingInsightManagerExtension.cs
T
Martin-Molinero c4433098c3 Refactor Framework Statistics (#7041)
* Refactor framework statistics

* Further insight chart cleanup
2023-03-03 19:40:29 -03:00

151 lines
6.4 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 QuantConnect.Interfaces;
using QuantConnect.Algorithm.Framework.Alphas;
using QuantConnect.Algorithm.Framework.Alphas.Analysis;
namespace QuantConnect.Lean.Engine.Alphas
{
/// <summary>
/// Manages alpha charting responsibilities.
/// </summary>
public class ChartingInsightManagerExtension : IInsightManagerExtension
{
/// <summary>
/// The string name used for the Alpha Assets chart
/// </summary>
public const string AlphaAssets = "Alpha Assets";
private readonly bool _liveMode;
private const int BacktestChartSamples = 1000;
private DateTime _lastInsightCountSampleDateUtc;
private int _dailyInsightCount;
// Keep track, we only want to add the charts if the algorithm is producing insights
private bool _chartsAdded;
private IAlgorithm _algorithm;
private readonly Chart _totalInsightCountChart = new Chart("Insight Count");
private readonly Series _totalInsightCountSeries = new Series("Count", SeriesType.Bar, "#");
/// <summary>
/// Gets or sets the interval at which alpha charts are updated. This is in realtion to algorithm time.
/// </summary>
protected TimeSpan SampleInterval { get; set; } = TimeSpan.FromMinutes(1);
/// <summary>
/// Initializes a new instance of the <see cref="ChartingInsightManagerExtension"/> class
/// </summary>
/// <param name="algorithm">The algorithm instance. This is only used for adding the charts
/// to the algorithm. We purposefully do not save a reference to avoid potentially inconsistent reads</param>
/// <param name="statisticsManager">Statistics manager used to access mean population scores for charting</param>
public ChartingInsightManagerExtension(IAlgorithm algorithm, StatisticsInsightManagerExtension statisticsManager)
{
_algorithm = algorithm;
_liveMode = algorithm.LiveMode;
// Add a series for insight count over sample period to the "Insight Count" chart
_totalInsightCountChart.AddSeries(_totalInsightCountSeries);
}
/// <summary>
/// Invokes the manager at the end of the time step.
/// Samples and plots insight counts and population score.
/// </summary>
/// <param name="frontierTimeUtc">The current frontier time utc</param>
public void Step(DateTime frontierTimeUtc)
{
// Only add our charts to the algorithm when we actually have an insight
// We will still update our internal charts anyways, but this keeps Alpha charts out of
// algorithms that don't use the framework.
if (!_chartsAdded && _dailyInsightCount > 0)
{
_algorithm.AddChart(_totalInsightCountChart);
_chartsAdded = true;
}
// sample insight/symbol counts each utc day change
if (frontierTimeUtc.Date > _lastInsightCountSampleDateUtc)
{
_lastInsightCountSampleDateUtc = frontierTimeUtc.Date;
// add sum of daily insight counts to the total insight count series
_totalInsightCountSeries.AddPoint(frontierTimeUtc.Date, _dailyInsightCount);
// Resetting our storage
_dailyInsightCount = 0;
}
}
/// <summary>
/// Invoked after <see cref="IAlgorithm.Initialize"/> has been called.
/// Determines chart sample interval and initial sample times
/// </summary>
/// <remarks>
/// While the algorithm instance is provided, it's highly recommended to not maintain
/// a direct reference to it as there is no way to guarantee consistence reads.
/// </remarks>
/// <param name="algorithmStartDate">The start date of the algorithm</param>
/// <param name="algorithmEndDate">The end date of the algorithm</param>
/// <param name="algorithmUtcTime">The algorithm's current utc time</param>
public void InitializeForRange(DateTime algorithmStartDate, DateTime algorithmEndDate, DateTime algorithmUtcTime)
{
if (_liveMode)
{
// live mode we'll sample each minute
SampleInterval = Time.OneMinute;
}
else
{
// space out backtesting samples evenly
var backtestPeriod = algorithmEndDate - algorithmStartDate;
SampleInterval = TimeSpan.FromTicks(backtestPeriod.Ticks / BacktestChartSamples);
}
_lastInsightCountSampleDateUtc = algorithmUtcTime.RoundDown(Time.OneDay);
}
/// <summary>
/// Handles the <see cref="IAlgorithm.InsightsGenerated"/> event.
/// Keep daily and total count of insights by symbol
/// </summary>
/// <param name="context">The newly generated insight analysis context</param>
public void OnInsightGenerated(InsightAnalysisContext context)
{
_dailyInsightCount++;
}
/// <summary>
/// NOP - Charting is more concerned with population vs individual insights
/// </summary>
/// <param name="context">Context whose insight has just completed analysis</param>
public void OnInsightClosed(InsightAnalysisContext context)
{
}
/// <summary>
/// NOP - Charting is more concerned with population vs individual insights
/// </summary>
/// <param name="context">Context whose insight has just completed analysis</param>
public void OnInsightAnalysisCompleted(InsightAnalysisContext context)
{
}
}
}