Overall Statistics
Total Trades
100
Average Win
2.01%
Average Loss
-1.40%
Compounding Annual Return
8.241%
Drawdown
11.900%
Expectancy
0.459
Net Profit
35.905%
Sharpe Ratio
0.721
Loss Rate
40%
Win Rate
60%
Profit-Loss Ratio
1.43
Alpha
-0.005
Beta
0.669
Annual Standard Deviation
0.096
Annual Variance
0.009
Information Ratio
-0.625
Tracking Error
0.067
Treynor Ratio
0.104
Total Fees
$100.00
namespace QuantConnect 
{   
    /*
    *   QuantConnect University: Full Basic Template:
    *
    *   The underlying QCAlgorithm class is full of helper methods which enable you to use QuantConnect.
    *   We have explained some of these here, but the full algorithm can be found at:
    *   https://github.com/QuantConnect/QCAlgorithm/blob/master/QuantConnect.Algorithm/QCAlgorithm.cs
    */
    public class BasicTemplateAlgorithm : QCAlgorithm
    {
    	private Random Random;
        //Initialize the data and resolution you require for your strategy:
        public override void Initialize() 
        {
			
            //Start and End Date range for the backtest:
            SetStartDate(2013, 1, 1);         
            SetEndDate(DateTime.Now.Date.AddDays(-1));
            
            //Cash allocation
            SetCash(25000);
            
            //Add as many securities as you like. All the data will be passed into the event handler:
            AddSecurity(SecurityType.Equity, "SPY", Resolution.Daily);
            
            Random = new Random();
        }

        //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) 
        {   
            // "TradeBars" object holds many "TradeBar" objects: it is a dictionary indexed by the symbol:
            // 
            //  e.g.  data["MSFT"] data["GOOG"]
            
            // Only trade if the random number is above 0.9
            var rand = Random.NextDouble();
            if (rand < .9) return;
            Log("#" + rand);
            
            if (!Portfolio.HoldStock) 
            {
                int quantity = (int)Math.Floor(Portfolio.Cash / data["SPY"].Close);
                
                //Order function places trades: enter the string symbol and the quantity you want:
                Order("SPY",  quantity);
                
                //Debug sends messages to the user console: "Time" is the algorithm time keeper object 
                Debug("Purchased SPY on " + Time.ToShortDateString());
                
                //You can also use log to send longer messages to a file. You are capped to 10kb
                //Log("This is a longer message send to log.");
            }
            else
            {
            	// Liquidate all holdings
            	Liquidate();
            }
        }
    }
}