Overall Statistics |
Total Trades 2 Average Win 0% Average Loss 0% Compounding Annual Return 17.212% Drawdown 30.700% Expectancy 0 Net Profit 0% Sharpe Ratio 0.857 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0.177 Beta 0.018 Annual Standard Deviation 0.209 Annual Variance 0.044 Information Ratio 0.252 Tracking Error 0.258 Treynor Ratio 9.782 Total Fees $15.91 |
namespace QuantConnect { /// <summary> /// Shows how to use the Minus and Of extension methods to define a MACD on the /// difference in closing price between two securities /// </summary> public class MacdOnDifferenceAlgorithm : QCAlgorithm { /// <summary> /// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized. /// </summary> public override void Initialize() { SetStartDate(2011, 01, 01); //Set Start Date SetEndDate(2015, 10, 11); //Set End Date SetCash(100000); //Set Strategy Cash // Find more symbols here: http://quantconnect.com/data AddSecurity(SecurityType.Equity, "AAPL", Resolution.Daily); AddSecurity(SecurityType.Equity, "MSFT", Resolution.Daily); // Identity will get updated on each data point before OnData gets called var msft = Identity("MSFT"); var aapl = Identity("AAPL"); // Minus will get free updates from it's components pieces (msft, aapl) var diff = msft.Minus(aapl); // Of will get free updates from it's parent indicator (diff) var macdDiff = new MovingAverageConvergenceDivergence("MSFT-AAPL_MACD", 12, 26, 9).Of(diff); // Plot macdDiff on each new update PlotIndicator("MSFT-AAPL MACD", macdDiff); } /// <summary> /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here. /// </summary> /// <param name="data">Slice object keyed by symbol containing the stock data</param> public override void OnData(Slice data) { if (!Portfolio.Invested) { SetHoldings("MSFT", .5); SetHoldings("AAPL", .5); } } } }