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); } } } }