Overall Statistics |
Total Trades 1 Average Win 0% Average Loss 0% Compounding Annual Return 10.024% Drawdown 7.600% Expectancy 0 Net Profit 0% Sharpe Ratio 0.849 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0.083 Beta 0 Annual Standard Deviation 0.097 Annual Variance 0.009 Information Ratio 0.188 Tracking Error 0.145 Treynor Ratio -592.735 Total Fees $3.87 |
using System; using System.Linq; using QuantConnect.Data; using QuantConnect.Data.UniverseSelection; namespace QuantConnect.Algorithm.CSharp { public class CustomDataUniverseAlgorithm : QCAlgorithm { private SecurityChanges _changes; public override void Initialize() { UniverseSettings.Resolution = Resolution.Daily; SetStartDate(2015, 01, 05); SetEndDate(2015, 07, 01); SetCash(100000); AddSecurity(SecurityType.Equity, "SPY", Resolution.Daily); SetBenchmark("SPY"); // add a custom universe data source (defaults to usa-equity) AddUniverse<NyseTopGainers>("universe-nyse-top-gainers", Resolution.Daily, data => { // define our selection criteria return from d in data // pick top 2 gainers to bet against select d.Symbol; }); } public override void OnData(Slice slice) { } public override void OnSecuritiesChanged(SecurityChanges changes) { _changes = changes; foreach (var security in changes.AddedSecurities) { // enter short positions on new securities if (!security.Invested && security.Close != 0) { var qty = CalculateOrderQuantity(security.Symbol, -0.25m); MarketOnOpenOrder(security.Symbol, qty); Log("Enter " + security.Symbol + " at " + security.Close); } } } /// <summary> /// Custom data type that uses the wall street journal's top 100 nyse gainers /// html page as a live data source, and a csv file that contains the top 10 /// nyse gainers since the beginning of 2009 until 2015/10/19 /// </summary> public class NyseTopGainers : BaseData { public int TopGainersRank; public override DateTime EndTime { // define end time as exactly 1 day after Time get { return Time + QuantConnect.Time.OneDay; } set { Time = value - QuantConnect.Time.OneDay; } } private int count; private DateTime lastDate; public override SubscriptionDataSource GetSource(SubscriptionDataConfig config, DateTime date, bool isLiveMode) { // this is actually an html file, we'll handle the parsing accordingly return new SubscriptionDataSource(@"http://www.wsj.com/mdc/public/page/2_3021-gainnyse-gainer.html", SubscriptionTransportMedium.RemoteFile); // this has data from 2009.01.01 to 2015.10.19 for top 10 nyse gainers //return new SubscriptionDataSource(@"https://www.dropbox.com/s/vrn3p38qberw3df/nyse-gainers.csv?dl=1", SubscriptionTransportMedium.RemoteFile); } public override BaseData Reader(SubscriptionDataConfig config, string line, DateTime date, bool isLiveMode) { if (lastDate != date) { // reset our counter for the new day lastDate = date; count = 0; } // parse the html into a symbol if (!line.StartsWith(@"<a href=""/public/quotes/main.html?symbol=")) { // we're only looking for lines that contain the symbols return null; } var lastCloseParen = line.LastIndexOf(")", StringComparison.Ordinal); var lastOpenParen = line.LastIndexOf("(", StringComparison.Ordinal); if (lastOpenParen == -1 || lastCloseParen == -1) { return null; } var symbolString = line.Substring(lastOpenParen + 1, lastCloseParen - lastOpenParen - 1); return new NyseTopGainers { Symbol = Symbol.Create(symbolString, SecurityType.Equity, Market.USA), Time = date, // the html has these in order, so we'll keep incrementing until a new day TopGainersRank = ++count }; } } } }