Files
quantconnect--lean/Report/ReportElements/LeverageUtilizationReportElement.cs
2026-07-13 13:02:50 +08:00

84 lines
3.1 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 System.Collections.Generic;
using System.Linq;
using Deedle;
using Python.Runtime;
using QuantConnect.Orders;
using QuantConnect.Packets;
namespace QuantConnect.Report.ReportElements
{
internal sealed class LeverageUtilizationReportElement : ChartReportElement
{
private LiveResult _live;
private BacktestResult _backtest;
private List<PointInTimePortfolio> _backtestPortfolios;
private List<PointInTimePortfolio> _livePortfolios;
/// <summary>
/// Create a new plot of the leverage utilization
/// </summary>
/// <param name="name">Name of the widget</param>
/// <param name="key">Location of injection</param>
/// <param name="backtest">Backtest result object</param>
/// <param name="live">Live result object</param>
/// <param name="backtestPortfolios">Backtest point in time portfolios</param>
/// <param name="livePortfolios">Live point in time portfolios</param>
public LeverageUtilizationReportElement(
string name,
string key,
BacktestResult backtest,
LiveResult live,
List<PointInTimePortfolio> backtestPortfolios,
List<PointInTimePortfolio> livePortfolios)
{
_backtest = backtest;
_backtestPortfolios = backtestPortfolios;
_live = live;
_livePortfolios = livePortfolios;
Name = name;
Key = key;
}
/// <summary>
/// Generate the leverage utilization plot using the python libraries.
/// </summary>
public override string Render()
{
var backtestSeries = Metrics.LeverageUtilization(_backtestPortfolios).FillMissing(Direction.Forward);
var liveSeries = Metrics.LeverageUtilization(_livePortfolios).FillMissing(Direction.Forward);
var base64 = "";
using (Py.GIL())
{
var backtestList = new PyList();
var liveList = new PyList();
backtestList.Append(backtestSeries.Keys.ToList().ToPython());
backtestList.Append(backtestSeries.Values.ToList().ToPython());
liveList.Append(liveSeries.Keys.ToList().ToPython());
liveList.Append(liveSeries.Values.ToList().ToPython());
base64 = Charting.GetLeverage(backtestList, liveList);
}
return base64;
}
}
}