Overall Statistics |
Total Trades 87 Average Win 2.12% Average Loss -2.69% Compounding Annual Return -22.339% Drawdown 40.000% Expectancy -0.149 Net Profit -11.841% Sharpe Ratio 0.03 Sortino Ratio 0.035 Probabilistic Sharpe Ratio 20.641% Loss Rate 52% Win Rate 48% Profit-Loss Ratio 0.79 Alpha -0.216 Beta 1.011 Annual Standard Deviation 0.645 Annual Variance 0.417 Information Ratio -0.336 Tracking Error 0.635 Treynor Ratio 0.019 Total Fees $153.54 Estimated Strategy Capacity $85000000.00 Lowest Capacity Asset TSLA UNU3P8Y3WFAD Portfolio Turnover 15.96% |
#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.DataSource; namespace QuantConnect { public class USEquityCoarseUniverseConstituentsDataAlgorithm : QCAlgorithm { private int _numberOfSymbols = 3; private SecurityChanges _changes = SecurityChanges.None; public override void Initialize() { SetStartDate(2021, 1, 1); SetEndDate(2021, 7, 1); SetCash(100000); // Set Asynchronous to true to improve speed performance UniverseSettings.Asynchronous = true; // Requesting data AddUniverse(FundamentalSelectionFunction); } public IEnumerable<Symbol> FundamentalSelectionFunction(IEnumerable<Fundamental> fundamental) { return fundamental.OrderByDescending(x => x.DollarVolume) .Take(_numberOfSymbols).Select(x => x.Symbol); } public override void OnData(Slice slice) { // if we have no changes, do nothing if (_changes == SecurityChanges.None) return; // liquidate removed securities foreach (var security in _changes.RemovedSecurities) { if (security.Invested) { Liquidate(security.Symbol); } } // we want 1/N allocation in each security in our universe foreach (var security in _changes.AddedSecurities) { SetHoldings(security.Symbol, 1m / _numberOfSymbols); } _changes = SecurityChanges.None; } public override void OnSecuritiesChanged(SecurityChanges changes) { _changes = changes; foreach (var security in changes.AddedSecurities) { // Historical data var history = History(security.Symbol, 7, Resolution.Daily); Debug($"We got {history.Count()} from our history request for {security.Symbol}"); } } } }