Overall Statistics |
Total Trades 1 Average Win 0% Average Loss 0% Compounding Annual Return 271.476% Drawdown 2.200% Expectancy 0 Net Profit 1.692% Sharpe Ratio 8.855 Sortino Ratio 0 Probabilistic Sharpe Ratio 67.609% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.005 Beta 0.996 Annual Standard Deviation 0.222 Annual Variance 0.049 Information Ratio -14.824 Tracking Error 0.001 Treynor Ratio 1.971 Total Fees $3.59 Estimated Strategy Capacity $56000000.00 Lowest Capacity Asset SPY R735QTJ8XC9X Portfolio Turnover 19.93% |
#region imports using System; using System.Collections; using System.Collections.Generic; using System.Linq; using System.Globalization; using System.Drawing; using QuantConnect; using QuantConnect.Algorithm.Framework; using QuantConnect.Algorithm.Framework.Selection; using QuantConnect.Algorithm.Framework.Alphas; using QuantConnect.Algorithm.Framework.Portfolio; using QuantConnect.Algorithm.Framework.Portfolio.SignalExports; using QuantConnect.Algorithm.Framework.Execution; using QuantConnect.Algorithm.Framework.Risk; using QuantConnect.Api; using QuantConnect.Parameters; using QuantConnect.Benchmarks; using QuantConnect.Brokerages; using QuantConnect.Configuration; using QuantConnect.Util; using QuantConnect.Interfaces; using QuantConnect.Algorithm; using QuantConnect.Indicators; using QuantConnect.Data; using QuantConnect.Data.Auxiliary; using QuantConnect.Data.Consolidators; using QuantConnect.Data.Custom; using QuantConnect.Data.Custom.IconicTypes; using QuantConnect.DataSource; using QuantConnect.Data.Fundamental; using QuantConnect.Data.Market; using QuantConnect.Data.Shortable; using QuantConnect.Data.UniverseSelection; using QuantConnect.Notifications; using QuantConnect.Orders; using QuantConnect.Orders.Fees; using QuantConnect.Orders.Fills; using QuantConnect.Orders.OptionExercise; using QuantConnect.Orders.Slippage; using QuantConnect.Orders.TimeInForces; using QuantConnect.Python; using QuantConnect.Scheduling; using QuantConnect.Securities; using QuantConnect.Securities.Equity; using QuantConnect.Securities.Future; using QuantConnect.Securities.Option; using QuantConnect.Securities.Positions; using QuantConnect.Securities.Forex; using QuantConnect.Securities.Crypto; using QuantConnect.Securities.CryptoFuture; using QuantConnect.Securities.Interfaces; using QuantConnect.Securities.Volatility; using QuantConnect.Storage; using QuantConnect.Statistics; using QuantConnect.Data.Custom.AlphaStreams; using QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm; using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm; #endregion namespace QuantConnect.Algorithm.CSharp { public class TestProject : QCAlgorithm { public override void Initialize() { // Locally Lean installs free sample data, to download more data please visit https://www.quantconnect.com/docs/v2/lean-cli/datasets/downloading-data SetStartDate(2013, 10, 7); // Set Start Date SetEndDate(2013, 10, 11); // Set Start Date SetCash(100000); //Set Strategy Cash var security = AddEquity("SPY", Resolution.Minute); var apiResult = new Api.Api(); var pythonResult = new PythonConsolidator(); var statisticsResult = new Statistics.Statistics(); var engineResults = Lean.Engine.Initializer.GetSystemHandlers(); var configurationResult = new CommandLineOption("", McMaster.Extensions.CommandLineUtils.CommandOptionType.SingleValue); var dataAuxiliaryResult = new ZipEntryName(); var dataShortableResult = new NullShortableProvider(); var ordersTimeInForcesResult = new GoodTilDateTimeInForce(Time); var securitiesPositionsResult = new Position(security.Symbol, 1, 1); var ordersOptionExerciseResult = new DefaultExerciseModel(); var securitiesVolatilityResult = new BaseVolatilityModel(); var dataCustomIconicTypesResult = new LinkedData(); var securitiesCryptoFutureResult = new CryptoFutureExchange("bybit"); var signalExportsResult = new SignalExportManager(this); } /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here. /// Slice object keyed by symbol containing the stock data public override void OnData(Slice data) { if (!Portfolio.Invested) { SetHoldings("SPY", 1); Debug("Purchased Stock"); } } } }