Overall Statistics |
Total Trades 1 Average Win 0% Average Loss 0% Compounding Annual Return 43.916% Drawdown 0.700% Expectancy 0 Net Profit 0% Sharpe Ratio 4.669 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0.503 Beta -1.132 Annual Standard Deviation 0.074 Annual Variance 0.006 Information Ratio 1.916 Tracking Error 0.109 Treynor Ratio -0.306 Total Fees $1.00 |
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 DailyConsolidatorEmitTimeAlgorithm : QCAlgorithm { const string Symbol = "SPY"; //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, 01, 7); //Cash allocation SetCash(25000); //Add as many securities as you like. All the data will be passed into the event handler: AddSecurity(SecurityType.Equity, Symbol, Resolution.Minute); var daily = new TradeBarConsolidator(TimeSpan.FromDays(1)); SubscriptionManager.AddConsolidator(Symbol, daily); // print out the emit time daily.DataConsolidated += (sender, args) => { Log(">>Algo>>" + Time + ">>DataStart>>" + args.Time + ">>DataEnd>>" + args.EndTime); }; } //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) SetHoldings(Symbol, 1); } } }