/* * 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 System.Collections.Generic; using System.Linq; using QuantConnect.Data; using QuantConnect.Data.Custom.Tiingo; using QuantConnect.Data.UniverseSelection; using QuantConnect.Securities; namespace QuantConnect.Algorithm.CSharp { /// /// Example algorithm of a custom universe selection using coarse data and adding TiingoNews /// If conditions are met will add the underlying and trade it /// public class CoarseTiingoNewsUniverseSelectionAlgorithm : QCAlgorithm { private const int NumberOfSymbols = 3; private List _symbols; public override void Initialize() { SetStartDate(2014, 03, 24); SetEndDate(2014, 04, 07); UniverseSettings.FillForward = false; AddUniverse(new CustomDataCoarseFundamentalUniverse(UniverseSettings, SecurityInitializer, CoarseSelectionFunction)); _symbols = new List(); } // sort the data by daily dollar volume and take the top 'NumberOfSymbols' public IEnumerable CoarseSelectionFunction(IEnumerable coarse) { // sort descending by daily dollar volume var sortedByDollarVolume = coarse.OrderByDescending(x => x.DollarVolume); // take the top entries from our sorted collection var top = sortedByDollarVolume.Take(NumberOfSymbols); // we need to return only the symbol objects return top.Select(x => QuantConnect.Symbol.CreateBase(typeof(TiingoNews), x.Symbol, x.Symbol.ID.Market)); } public override void OnData(Slice data) { var articles = data.Get(); foreach (var kvp in articles) { var news = kvp.Value; if (news.Title.IndexOf("Stocks Drop", 0, StringComparison.CurrentCultureIgnoreCase) != -1) { if (!Securities.ContainsKey(kvp.Key.Underlying)) { // add underlying we want to trade AddSecurity(kvp.Key.Underlying); _symbols.Add(kvp.Key.Underlying); } } } foreach (var symbol in _symbols) { if (Securities[symbol].HasData) { SetHoldings(symbol, 1m / _symbols.Count); } } } public override void OnSecuritiesChanged(SecurityChanges changes) { changes.FilterCustomSecurities = false; Log($"{Time} {changes}"); } private class CustomDataCoarseFundamentalUniverse : CoarseFundamentalUniverse { public CustomDataCoarseFundamentalUniverse(UniverseSettings universeSettings, ISecurityInitializer securityInitializer, Func, IEnumerable> selector) : base(universeSettings, securityInitializer, selector) { } public override IEnumerable GetSubscriptionRequests(Security security, DateTime currentTimeUtc, DateTime maximumEndTimeUtc, ISubscriptionDataConfigService subscriptionService) { var config = subscriptionService.Add( typeof(TiingoNews), security.Symbol, UniverseSettings.Resolution, UniverseSettings.FillForward, UniverseSettings.ExtendedMarketHours, dataNormalizationMode: UniverseSettings.DataNormalizationMode); return new[]{new SubscriptionRequest(isUniverseSubscription: false, universe: this, security: security, configuration: config, startTimeUtc: currentTimeUtc, endTimeUtc: maximumEndTimeUtc)}; } } } }