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* 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
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* See the License for the specific language governing permissions and
* limitations under the License.
using System.Collections.Generic;
using System.Linq;
using QuantConnect.Data.Fundamental;
using QuantConnect.Data.Market;
using QuantConnect.Data.UniverseSelection;
namespace QuantConnect.Algorithm.CSharp
/// <summary>
/// Demonstration of how to define a universe filtered by the combination of coarse
/// fundamental data and fine fundamental data. This lets you do a first pass based on the asset volume; then later
/// select based on the company fundamentals.
/// </summary>
/// <meta name="tag" content="using data" />
/// <meta name="tag" content="universes" />
/// <meta name="tag" content="coarse universes" />
/// <meta name="tag" content="fine universes" />
public class CoarseFineFundamentalComboAlgorithm : QCAlgorithm
private const int NumberOfSymbolsCoarse = 5;
private const int NumberOfSymbolsFine = 2;
// initialize our changes to nothing
private SecurityChanges _changes = SecurityChanges.None;
public override void Initialize()
UniverseSettings.Resolution = Resolution.Daily;
SetStartDate(2014, 04, 01);
SetEndDate(2014, 04, 30);
// this add universe method accepts two parameters:
// - coarse selection function: accepts an IEnumerable<CoarseFundamental> and returns an IEnumerable<Symbol>
// - fine selection function: accepts an IEnumerable<FineFundamental> and returns an IEnumerable<Symbol>
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. "TradeBars" type is a dictionary of strings so you can access it by symbol.
public void OnData(TradeBars data)
// if we have no changes, do nothing
if (_changes == SecurityChanges.None) return;
// liquidate removed securities
foreach (var security in _changes.RemovedSecurities)
if (security.Invested)
Debug("Liquidated Stock: " + security.Symbol.Value);
// we want 50% allocation in each security in our universe
foreach (var security in _changes.AddedSecurities)
SetHoldings(security.Symbol, 0.5m);
Debug("Purchased Stock: " + security.Symbol.Value);
_changes = SecurityChanges.None;
// this event fires whenever we have changes to our universe
public override void OnSecuritiesChanged(SecurityChanges changes)
_changes = changes;
if (changes.AddedSecurities.Count > 0)
Debug("Securities added: " + string.Join(",", changes.AddedSecurities.Select(x => x.Symbol.Value)));
if (changes.RemovedSecurities.Count > 0)
Debug("Securities removed: " + string.Join(",", changes.RemovedSecurities.Select(x => x.Symbol.Value)));
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