Overall Statistics
Total Trades
1
Average Win
0%
Average Loss
0%
Compounding Annual Return
59.640%
Drawdown
1.000%
Expectancy
0
Net Profit
0%
Sharpe Ratio
7.595
Loss Rate
0%
Win Rate
0%
Profit-Loss Ratio
0
Alpha
0.5
Beta
-0.183
Annual Standard Deviation
0.059
Annual Variance
0.004
Information Ratio
2.067
Tracking Error
0.084
Treynor Ratio
-2.457
Total Fees
$3.64
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
    {
        //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(2013,2,2);
            //SetEndDate(DateTime.Now.Date.AddDays(-1));
            
            //Cash allocation
            SetCash(100000);
            
            //Add as many securities as you like. All the data will be passed into the event handler:
            AddSecurity(SecurityType.Equity, "SPY", Resolution.Minute);
        }

        //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"]
            
            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);
                
                
            }
        }
    }
}