Overall Statistics
Total Trades
24
Average Win
0%
Average Loss
0%
Compounding Annual Return
0.700%
Drawdown
2.000%
Expectancy
0
Net Profit
0%
Sharpe Ratio
0.472
Loss Rate
0%
Win Rate
0%
Profit-Loss Ratio
0
Alpha
-0.006
Beta
0.103
Annual Standard Deviation
0.015
Annual Variance
0
Information Ratio
-1.027
Tracking Error
0.116
Treynor Ratio
0.068
Total Fees
$24.00
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 DateTime nextDate;
    	private int period = 61;
    	
        //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.Minute);
            
            nextDate = StartDate.AddDays(-1);
        }

        //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 (Time > nextDate) 
            {   
            	nextDate = nextDate.AddDays(period);
                //Order function places trades: enter the string symbol and the quantity you want:
                Order("SPY",  1);
                
                //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.");
            }
        }
    }
}