Backtest

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 0 Beta 0 Annual Standard Deviation 1.826 Annual Variance 3.333 Information Ratio -0.541 Tracking Error 1.826 Treynor Ratio 0 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);
            SetBrokerageModel(new InteractiveBrokersBrokerageModelWithShortable());
            _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.TotalShortableQuantity ?? 0m);
            
            // First, let's not rebalance if there are no shares to short
            if (ShortableQuantity(symbol) < 0) return;
            
            // 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();
        }

        public class InteractiveBrokersBrokerageModelWithShortable : InteractiveBrokersBrokerageModel
        {
            public override IShortableProvider GetShortableProvider(Security security)
            {
                return new InteractiveBrokersShortableProvider();
            }
        }
    }
}