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
                };
            }
        }
    }
}