Overall Statistics |
Total Orders 42 Average Win 3.23% Average Loss -21.16% Compounding Annual Return -99.998% Drawdown 99.600% Expectancy -0.800 Net Profit -99.548% Sharpe Ratio -0.542 Sortino Ratio -0.245 Probabilistic Sharpe Ratio 0.003% Loss Rate 83% Win Rate 17% Profit-Loss Ratio 0.15 Alpha -1.52 Beta 2.274 Annual Standard Deviation 1.826 Annual Variance 3.333 Information Ratio -0.675 Tracking Error 1.813 Treynor Ratio -0.435 Total Fees $42.09 Estimated Strategy Capacity $5200000.00 Lowest Capacity Asset GME SC72NCBXXAHX Portfolio Turnover 19.23% |
#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.Execution; using QuantConnect.Algorithm.Framework.Risk; using QuantConnect.Algorithm.Selection; using QuantConnect.Parameters; using QuantConnect.Benchmarks; using QuantConnect.Brokerages; using QuantConnect.Util; using QuantConnect.Interfaces; using QuantConnect.Algorithm; using QuantConnect.Indicators; using QuantConnect.Data; using QuantConnect.Data.Consolidators; using QuantConnect.Data.Custom; using QuantConnect.DataSource; using QuantConnect.Data.Fundamental; using QuantConnect.Data.Market; using QuantConnect.Data.UniverseSelection; using QuantConnect.Notifications; using QuantConnect.Orders; using QuantConnect.Orders.Fees; using QuantConnect.Orders.Fills; using QuantConnect.Orders.Slippage; using QuantConnect.Scheduling; using QuantConnect.Securities; using QuantConnect.Securities.Equity; using QuantConnect.Securities.Future; using QuantConnect.Securities.Option; using QuantConnect.Securities.Forex; using QuantConnect.Securities.Crypto; using QuantConnect.Securities.Interfaces; using QuantConnect.Storage; using QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm; using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm; #endregion using QuantConnect.Data.Shortable; namespace QuantConnect { public class ShortAvailabilityDataAlgorithm : QCAlgorithm { private Equity _equity; public override void Initialize() { SetStartDate(2021, 1, 1); SetEndDate(2021, 7, 1); SetCash(1000); SetSecurityInitializer(new MySecurityInitializer(BrokerageModel, new FuncSecuritySeeder(GetLastKnownPrices))); _equity = AddEquity("GME"); Schedule.On( DateRules.EveryDay(_equity.Symbol), TimeRules.AfterMarketOpen(_equity.Symbol, 10), Rebalance); } public void Rebalance() { var symbol = _equity.Symbol; Plot("Total Shortable Quantity", symbol, _equity.ShortableProvider.ShortableQuantity(symbol, Time) ?? 0m); Plot("Borrowing Cost", "Fee Rate", _equity.ShortableProvider.FeeRate(symbol, Time)); Plot("Borrowing Cost", "Rebate Rate", _equity.ShortableProvider.RebateRate(symbol, Time)); // Then, test whether we can short the desired quantity var quantity = CalculateOrderQuantity(symbol, -1m); if (Shortable(symbol, quantity)) { MarketOrder(symbol, quantity); } } public override void OnMarginCallWarning() { Liquidate(); } class MySecurityInitializer : BrokerageModelSecurityInitializer { public MySecurityInitializer(IBrokerageModel brokerageModel, ISecuritySeeder securitySeeder) : base(brokerageModel, securitySeeder) {} public override void Initialize(Security security) { base.Initialize(security); security.SetShortableProvider(new InteractiveBrokersShortableProvider()); } } } }