| 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);
}
}
}
}