Overall Statistics |
Total Trades 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Net Profit 0% Sharpe Ratio 0 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio 0 Tracking Error 0 Treynor Ratio 0 Total Fees $0.00 |
namespace QuantConnect { /* * Basic Template Algorithm * * The underlying QCAlgorithm class has many methods which enable you to use QuantConnect. * We have explained some of these here, but the full base class can be found at: * https://github.com/QuantConnect/Lean/tree/master/Algorithm */ public class RsiUpdateExample : QCAlgorithm { Symbol aapl; RelativeStrengthIndex _rsi; Random _rng; public override void Initialize() { // backtest parameters SetStartDate(2017, 1, 2); SetEndDate(2017, 1, 6); // cash allocation SetCash(25000); aapl = AddEquity("AAPL", Resolution.Minute).Symbol; _rsi = new RelativeStrengthIndex(14, MovingAverageType.Simple); _rng = new Random(); Schedule.On(DateRules.EveryDay(), TimeRules.At(16, 00), () => { _rsi.Update(new IndicatorDataPoint { Time = Time, Value = Securities[aapl].Price }); Log(Time + " RSI updated at Market Close!"); }); } /* * New data arrives here. * The "Slice" data represents a slice of time, it has all the data you need for a moment. */ public override void OnData(Slice data) { if (_rng.NextDouble() > 0.5) { _rsi.Update(new IndicatorDataPoint { Time = Time, Value = data[aapl].Price }); Log(Time + " RSI updated"); } if (!_rsi.IsReady) return; //Log("RSI value:" + _rsi.Current.Value); } } }