169 lines
6.5 KiB
C#
169 lines
6.5 KiB
C#
/*
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* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
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* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*
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*/
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using System;
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using System.Linq;
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using QuantConnect.Data;
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using QuantConnect.Data.UniverseSelection;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// This algorithm shows how to grab symbols from an external api each day
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/// and load data using the universe selection feature. In this example we
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/// define a custom data type for the NYSE top gainers and then short the
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/// top 2 gainers each day
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/// </summary>
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/// <meta name="tag" content="using data" />
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/// <meta name="tag" content="universes" />
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/// <meta name="tag" content="custom universes" />
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public class CustomDataUniverseAlgorithm : QCAlgorithm
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{
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private SecurityChanges _changes;
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public override void Initialize()
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{
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// Data ADDED via universe selection is added with Daily resolution.
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UniverseSettings.Resolution = Resolution.Daily;
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SetStartDate(2015, 01, 05);
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SetEndDate(2015, 07, 01);
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SetCash(100000);
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AddSecurity(SecurityType.Equity, "SPY", Resolution.Daily);
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SetBenchmark("SPY");
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// add a custom universe data source (defaults to usa-equity)
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AddUniverse<NyseTopGainers>("universe-nyse-top-gainers", Resolution.Daily, data =>
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{
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// define our selection criteria
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return from NyseTopGainers d in data
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// pick top 2 gainers to bet against
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where d.TopGainersRank <= 2
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select d.Symbol;
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});
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}
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public override void OnData(Slice slice)
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{
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}
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public override void OnSecuritiesChanged(SecurityChanges changes)
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{
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_changes = changes;
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foreach (var security in changes.RemovedSecurities)
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{
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// liquidate securities that have been removed
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if (security.Invested)
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{
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Liquidate(security.Symbol);
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Log("Exit " + security.Symbol + " at " + security.Close);
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}
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}
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foreach (var security in changes.AddedSecurities)
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{
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// enter short positions on new securities
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if (!security.Invested && security.Close != 0)
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{
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var qty = CalculateOrderQuantity(security.Symbol, -0.25m);
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MarketOnOpenOrder(security.Symbol, qty);
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Log("Enter " + security.Symbol + " at " + security.Close);
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}
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}
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}
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/// <summary>
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/// Custom data type that uses the wall street journal's top 100 nyse gainers
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/// html page as a live data source, and a csv file that contains the top 10
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/// nyse gainers since the beginning of 2009 until 2015/10/19
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/// </summary>
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public class NyseTopGainers : BaseData
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{
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public int TopGainersRank { get; set; }
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public override DateTime EndTime
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{
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// define end time as exactly 1 day after Time
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get { return Time + QuantConnect.Time.OneDay; }
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set { Time = value - QuantConnect.Time.OneDay; }
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}
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private int _count;
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private DateTime _lastDate;
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public override SubscriptionDataSource GetSource(SubscriptionDataConfig config, DateTime date, bool isLiveMode)
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{
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if (isLiveMode)
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{
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// this is actually an html file, we'll handle the parsing accordingly
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return new SubscriptionDataSource(@"http://www.wsj.com/mdc/public/page/2_3021-gainnyse-gainer.html", SubscriptionTransportMedium.RemoteFile);
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}
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// this has data from 2009.01.01 to 2015.10.19 for top 10 nyse gainers
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return new SubscriptionDataSource(@"https://www.dropbox.com/s/vrn3p38qberw3df/nyse-gainers.csv?dl=1", SubscriptionTransportMedium.RemoteFile);
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}
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public override BaseData Reader(SubscriptionDataConfig config, string line, DateTime date, bool isLiveMode)
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{
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if (!isLiveMode)
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{
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// backtest gets data from csv file in dropbox
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var csv = line.Split(',');
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return new NyseTopGainers
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{
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Time = DateTime.ParseExact(csv[0], "yyyyMMdd", null),
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Symbol = Symbol.Create(csv[1], SecurityType.Equity, Market.USA),
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TopGainersRank = Parse.Int(csv[2])
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};
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}
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if (_lastDate != date)
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{
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// reset our counter for the new day
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_lastDate = date;
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_count = 0;
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}
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// parse the html into a symbol
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if (!line.StartsWith(@"<a href=""/public/quotes/main.html?symbol="))
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{
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// we're only looking for lines that contain the symbols
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return null;
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}
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var lastCloseParen = line.LastIndexOf(")", StringComparison.Ordinal);
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var lastOpenParen = line.LastIndexOf("(", StringComparison.Ordinal);
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if (lastOpenParen == -1 || lastCloseParen == -1)
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{
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return null;
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}
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var symbolString = line.Substring(lastOpenParen + 1, lastCloseParen - lastOpenParen - 1);
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return new NyseTopGainers
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{
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Symbol = Symbol.Create(symbolString, SecurityType.Equity, Market.USA),
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Time = date,
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// the html has these in order, so we'll keep incrementing until a new day
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TopGainersRank = ++_count
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};
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}
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}
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}
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}
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