Overall Statistics |
Total Trades 2 Average Win 0% Average Loss 0.00% Compounding Annual Return -0.023% Drawdown 0.000% Expectancy -1 Net Profit -0.002% Sharpe Ratio 0 Sortino Ratio 0 Probabilistic Sharpe Ratio 0% Loss Rate 100% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio -5.496 Tracking Error 0.156 Treynor Ratio 0 Total Fees $2.00 Estimated Strategy Capacity $8200000.00 Lowest Capacity Asset SPY R735QTJ8XC9X Portfolio Turnover 0.02% |
#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.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 QuantConnect.Data.Custom.AlphaStreams; using QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm; using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm; #endregion namespace QuantConnect.Algorithm.CSharp { public class CustomSettlementModelAlgorithm : QCAlgorithm { private bool traded; public override void Initialize() { SetStartDate(2022, 7, 1); SetEndDate(2022, 8, 1); SetCash(100000); var security = AddEquity("SPY"); security.SetSettlementModel(new MySettlementModel()); Schedule.On( DateRules.EveryDay("SPY"), TimeRules.Every(TimeSpan.FromMinutes(30)), plotCash ); traded = false; } private void plotCash() { Plot("Settled Cash", "USD", Portfolio.CashBook["USD"].Amount); Plot("Unsettled Cash", "USD", Portfolio.UnsettledCashBook["USD"].Amount); } public override void OnData(Slice data) { if (traded) return; MarketOrder("SPY", 1); MarketOrder("SPY", -1); traded = true; } } public class MySettlementModel : ISettlementModel { public void ApplyFunds(ApplyFundsSettlementModelParameters applyFundsParameters) { var currency = applyFundsParameters.CashAmount.Currency; var amount = applyFundsParameters.CashAmount.Amount; applyFundsParameters.Portfolio.CashBook[currency].AddAmount(amount); } public void Scan(ScanSettlementModelParameters settlementParameters) { } public CashAmount GetUnsettledCash() { return new CashAmount(0, "USD"); } } }