| Overall Statistics |
|
Total Trades 67 Average Win 1.23% Average Loss -1.20% Compounding Annual Return -3.260% Drawdown 19.000% Expectancy -0.156 Net Profit -12.424% Sharpe Ratio -0.29 Loss Rate 58% Win Rate 42% Profit-Loss Ratio 1.02 Alpha -0.093 Beta 4.25 Annual Standard Deviation 0.082 Annual Variance 0.007 Information Ratio -0.49 Tracking Error 0.082 Treynor Ratio -0.006 Total Fees $0.00 |
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 = "EURUSD";
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(2018, 12, 31); //Set End Date
SetCash(100000); //Set Strategy Cash
// Find more symbols here: http://quantconnect.com/data
AddForex(_symbol, Resolution.Daily);
_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);
}
}
}
}