Overall Statistics |
Total Orders 79 Average Win 9.54% Average Loss -2.55% Compounding Annual Return 8.020% Drawdown 39.400% Expectancy 0.242 Start Equity 100000 End Equity 111569.07 Net Profit 11.569% Sharpe Ratio 0.278 Sortino Ratio 0.388 Probabilistic Sharpe Ratio 15.815% Loss Rate 74% Win Rate 26% Profit-Loss Ratio 3.74 Alpha 0.092 Beta 0.079 Annual Standard Deviation 0.366 Annual Variance 0.134 Information Ratio -0.05 Tracking Error 0.422 Treynor Ratio 1.296 Total Fees $581.07 Estimated Strategy Capacity $290000000.00 Lowest Capacity Asset AAPL R735QTJ8XC9X Portfolio Turnover 12.28% |
#region imports using System; using System.Collections; using System.Collections.Generic; using System.Linq; using System.Globalization; using System.Drawing; using QuantConnect; using System.Text.RegularExpressions; 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 namespace QuantConnect { public class QuiverCongressDataAlgorithm : QCAlgorithm { public override void Initialize() { SetStartDate(2019, 1, 1); SetEndDate(2020, 6, 1); SetCash(100000); // Requesting data var security = AddEquity("AAPL", Resolution.Daily); security.SetBuyingPowerModel(BuyingPowerModel.Null); var quiverCongressSymbol = AddData<QuiverCongress>(security.Symbol).Symbol; // Historical data var history = History<QuiverCongress>(quiverCongressSymbol, 60, Resolution.Daily); Debug($"We got {history.Count()} items from our history request"); } public override void OnData(Slice slice) { var congressBySymbol = slice.Get<QuiverCongress>(); // Determine net direction of Congress trades for each security var netQuantityBySymbol = new Dictionary<Symbol, decimal>(); foreach (var (s, points) in congressBySymbol) { var symbol = s.Underlying; if (!netQuantityBySymbol.ContainsKey(symbol)) { netQuantityBySymbol[symbol] = 0m; } foreach(QuiverCongressDataPoint point in points) { netQuantityBySymbol[symbol] += (point.Transaction == OrderDirection.Buy ? 1 : -1) * (point.Amount ?? 0m); } } foreach (var (symbol, netQuantity) in netQuantityBySymbol) { if (netQuantity == 0) { Liquidate(symbol); continue; } Transactions.CancelOpenOrders(symbol, "Overriding order"); // Buy when Congress members have bought, short otherwise SetHoldings(symbol, netQuantity > 0 ? 1 : -1); } } } }