| Overall Statistics |
|
Total Trades 50 Average Win 0.96% Average Loss -0.56% Compounding Annual Return -5.191% Drawdown 16.200% Expectancy -0.220 Net Profit -5.186% Sharpe Ratio -0.266 Loss Rate 71% Win Rate 29% Profit-Loss Ratio 1.73 Alpha -0.038 Beta -0.11 Annual Standard Deviation 0.154 Annual Variance 0.024 Information Ratio -0.287 Tracking Error 0.23 Treynor Ratio 0.373 Total Fees $147.83 |
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 Harami _pattern = new Harami();
/// <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.Hour);
_pattern = CandlestickPatterns.Harami(_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 Harami, go long
SetHoldings(_symbol, 1);
}
else if (_pattern == -1)
{
// Bearish Harami, go short
SetHoldings(_symbol, -1);
}
}
}
}