| Overall Statistics |
|
Total Trades 12 Average Win 1.60% Average Loss -3.01% Compounding Annual Return -9.772% Drawdown 17.500% Expectancy -0.387 Net Profit -9.772% Sharpe Ratio -0.551 Probabilistic Sharpe Ratio 4.042% Loss Rate 60% Win Rate 40% Profit-Loss Ratio 0.53 Alpha -0.074 Beta 0.027 Annual Standard Deviation 0.133 Annual Variance 0.018 Information Ratio -0.492 Tracking Error 0.19 Treynor Ratio -2.71 Total Fees $38.89 Estimated Strategy Capacity $730000000.00 |
using QuantConnect.Indicators.CandlestickPatterns;
namespace QuantConnect
{
/// <summary>
/// Basic template algorithm simply initializes the date range and cash
/// </summary>
public class TestCandlestickAlgorithm : QCAlgorithm
{
private string _symbol = "SPY";
private Engulfing _pattern = new Engulfing();
/// <summary>
/// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
/// </summary>
public override void Initialize()
{
SetStartDate(2015, 1, 1); //Set Start Date
SetEndDate(2015, 12, 31); //Set End Date
SetCash(100000); //Set Strategy Cash
// Find more symbols here: http://quantconnect.com/data
AddEquity(_symbol, Resolution.Daily);
_pattern = CandlestickPatterns.Engulfing(_symbol);
}
/// <summary>
/// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
/// </summary>
/// <param name="data">Slice object keyed by symbol containing the stock data</param>
public override void OnData(Slice data)
{
if (_pattern == 1)
{
// Bullish Engulfing, go long
SetHoldings(_symbol, 1);
}
else if (_pattern == -1)
{
// Bearish Engulfing, go short
SetHoldings(_symbol, -1);
}
}
}
}