Overall Statistics |
Total Trades 19 Average Win 0.14% Average Loss 0% Compounding Annual Return 16.831% Drawdown 7.400% Expectancy 0 Net Profit 36.488% Sharpe Ratio 1.798 Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha 0.164 Beta -0.033 Annual Standard Deviation 0.088 Annual Variance 0.008 Information Ratio -0.292 Tracking Error 0.143 Treynor Ratio -4.846 Total Fees $19.00 |
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 { SimpleMovingAverage _smaAAPL; SimpleMovingAverage _smaSPY; CompositeIndicator<IndicatorDataPoint> _smaRatio; //Initialize the data and resolution you require for your strategy: public override void Initialize() { SetCash(25000); SetStartDate(2013, 1, 1); SetEndDate(2015, 1 ,1); AddSecurity(SecurityType.Equity, "AAPL", Resolution.Minute); AddSecurity(SecurityType.Equity, "SPY", Resolution.Minute); _smaAAPL = SMA("AAPL", 100); _smaSPY = SMA("SPY", 100); _smaRatio = _smaAAPL.Over(_smaSPY); } public void OnData(TradeBars data) { if (_smaRatio > 1) { SetHoldings("AAPL", 0.8, true); } else { SetHoldings("SPY", 0.8, true); } } } }