Overall Statistics |
Total Trades 7 Average Win 8.62% Average Loss 0% Compounding Annual Return 6.439% Drawdown 13.200% Expectancy 0 Net Profit 26.753% Sharpe Ratio 0.746 Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha 0.006 Beta 0.466 Annual Standard Deviation 0.088 Annual Variance 0.008 Information Ratio -0.652 Tracking Error 0.094 Treynor Ratio 0.141 Total Fees $7.00 |
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 int periodCounter = 0; //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); } //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) { if (!Portfolio.Invested) { if (Time.Month==10) { SetHoldings("SPY", 1); Debug("Purchased Stock:"+Time.ToLongDateString()); } } else { if (Time.Month == 4) { SetHoldings("SPY", 0); Debug("Sold Stock"+Time.ToLongDateString()); } } } } }