/* * QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals. * Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ using System; using QuantConnect.Orders; using System.Collections.Generic; namespace QuantConnect.Algorithm.CSharp { /// /// Regression algorithm asserting the behavior of the default position group Not allowing us to fill a combo order above our margin available /// public class DefaultMarginComboOrderRegressionAlgorithm : NullMarginComboOrderRegressionAlgorithm { protected override void OverrideMarginModels() { // we use the default } protected override void AssertState(OrderTicket ticket, int expectedGroupCount, int expectedMarginUsed) { if (ticket.Status != OrderStatus.Invalid) { throw new RegressionTestException($"Unexpected order status {ticket.Status} for symbol {ticket.Symbol} and quantity {ticket.Quantity}"); } if (Portfolio.Positions.Groups.Count != 0) { throw new RegressionTestException($"Unexpected position group count {Portfolio.Positions.Groups.Count} for symbol {ticket.Symbol} and quantity {ticket.Quantity}"); } if (Portfolio.TotalMarginUsed != 0) { throw new RegressionTestException($"Unexpected margin used {Portfolio.TotalMarginUsed} for symbol {ticket.Symbol} and quantity {ticket.Quantity}"); } } /// /// This is used by the regression test system to indicate which languages this algorithm is written in. /// public override List Languages { get; } = new() { Language.CSharp }; /// /// This is used by the regression test system to indicate what the expected statistics are from running the algorithm /// public override Dictionary ExpectedStatistics => new Dictionary { {"Total Orders", "2"}, {"Average Win", "0%"}, {"Average Loss", "0%"}, {"Compounding Annual Return", "0%"}, {"Drawdown", "0%"}, {"Expectancy", "0"}, {"Start Equity", "10000"}, {"End Equity", "10000"}, {"Net Profit", "0%"}, {"Sharpe Ratio", "0"}, {"Sortino Ratio", "0"}, {"Probabilistic Sharpe Ratio", "0%"}, {"Loss Rate", "0%"}, {"Win Rate", "0%"}, {"Profit-Loss Ratio", "0"}, {"Alpha", "0"}, {"Beta", "0"}, {"Annual Standard Deviation", "0"}, {"Annual Variance", "0"}, {"Information Ratio", "0"}, {"Tracking Error", "0"}, {"Treynor Ratio", "0"}, {"Total Fees", "$0.00"}, {"Estimated Strategy Capacity", "$0"}, {"Lowest Capacity Asset", ""}, {"Portfolio Turnover", "0%"}, {"Drawdown Recovery", "0"}, {"OrderListHash", "2d5054cdc5dd7701845823749255ce1c"} }; } }