Overall Statistics |
Total Trades 1 Average Win 179.71% Average Loss 0% Compounding Annual Return 67.449% Drawdown 38.300% Expectancy 0 Net Profit 179.707% Sharpe Ratio 1.241 Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha 0.427 Beta 1.469 Annual Standard Deviation 0.524 Annual Variance 0.275 Information Ratio 0.997 Tracking Error 0.5 Treynor Ratio 0.443 Total Fees $9.01 |
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 { TradeBar _tslaDaily; string symbol = "TSLA"; RelativeStrengthIndex rsis; RelativeStrengthIndex rsiw; RelativeStrengthIndex rsie; //Initialize the data and resolution you require for your strategy: public override void Initialize() { //Start and End Date range for the backtest: SetStartDate(2013, 5, 23); SetEndDate(DateTime.Now.Date.AddDays(-1)); //Cash allocation SetCash(75000); //Add as many securities as you like. All the data will be passed into the event handler: AddSecurity(SecurityType.Equity, symbol, Resolution.Minute); Securities[symbol].SetDataNormalizationMode(DataNormalizationMode.Raw); rsiw = RSI(symbol, 14, MovingAverageType.Wilders, Resolution.Daily); rsis = RSI(symbol, 14, MovingAverageType.Simple, Resolution.Daily); rsie = RSI(symbol, 14, MovingAverageType.Exponential, Resolution.Daily); var dailyConsolidator = new TradeBarConsolidator(TimeSpan.FromDays(1)); dailyConsolidator.DataConsolidated += OnDataDaily; SubscriptionManager.AddConsolidator("TSLA",dailyConsolidator); } private void OnDataDaily(object sender,TradeBar consolidated) { if (Time.Year < 2015) return; _tslaDaily = consolidated; Log(string.Format("S:{0}|W:{1}|E:{2}", rsis.Current.Value.ToString("0.00"), rsiw.Current.Value.ToString("0.00"), rsie.Current.Value.ToString("0.00")) ); } //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, 0.5m); } } } }