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quantconnect--lean/Algorithm.CSharp/Benchmarks/CoarseFineUniverseSelectionBenchmark.cs
2026-07-13 13:02:50 +08:00

103 lines
3.6 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.Collections.Generic;
using System.Linq;
using QuantConnect.Data;
using QuantConnect.Data.Fundamental;
using QuantConnect.Data.Market;
using QuantConnect.Data.UniverseSelection;
namespace QuantConnect.Algorithm.CSharp.Benchmarks
{
public class CoarseFineUniverseSelectionBenchmark : QCAlgorithm
{
private const int NumberOfSymbolsCoarse = 150;
private const int NumberOfSymbolsFine = 40;
private SecurityChanges _changes = SecurityChanges.None;
public override void Initialize()
{
UniverseSettings.Resolution = Resolution.Minute;
SetStartDate(2017, 11, 01);
SetEndDate(2018, 3, 01);
SetCash(50000);
AddUniverse(CoarseSelectionFunction, FineSelectionFunction);
}
// sort the data by daily dollar volume and take the top 'NumberOfSymbolsCoarse'
public IEnumerable<Symbol> CoarseSelectionFunction(IEnumerable<CoarseFundamental> coarse)
{
// select only symbols with fundamental data and sort descending by daily dollar volume
var sortedByDollarVolume = coarse
.Where(x => x.HasFundamentalData)
.OrderByDescending(x => x.DollarVolume);
// take the top entries from our sorted collection
var top5 = sortedByDollarVolume.Take(NumberOfSymbolsCoarse);
// we need to return only the symbol objects
return top5.Select(x => x.Symbol);
}
// sort the data by P/E ratio and take the top 'NumberOfSymbolsFine'
public IEnumerable<Symbol> FineSelectionFunction(IEnumerable<FineFundamental> fine)
{
// sort descending by P/E ratio
var sortedByPeRatio = fine.OrderByDescending(x => x.ValuationRatios.PERatio);
// take the top entries from our sorted collection
var topFine = sortedByPeRatio.Take(NumberOfSymbolsFine);
// we need to return only the symbol objects
return topFine.Select(x => x.Symbol);
}
//Data Event Handler: New data arrives here.
public override void OnData(Slice slice)
{
// if we have no changes, do nothing
if (_changes == SecurityChanges.None) return;
// liquidate removed securities
foreach (var security in _changes.RemovedSecurities)
{
if (security.Invested)
{
Liquidate(security.Symbol);
}
}
// we want allocation in each security in our universe
foreach (var security in _changes.AddedSecurities)
{
SetHoldings(security.Symbol, 0.02m);
}
_changes = SecurityChanges.None;
}
// this event fires whenever we have changes to our universe
public override void OnSecuritiesChanged(SecurityChanges changes)
{
_changes = changes;
}
}
}