| 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);
}
}
}