/* * 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 System.Collections.Generic; using QuantConnect.Data; using QuantConnect.Interfaces; using QuantConnect.Orders; namespace QuantConnect.Algorithm.CSharp { /// /// Regression Algorithm for testing engine behavior with throwing errors in OnOrderEvent /// Should result in a RunTimeError status. /// Reference GH Issue #4947 /// public class OnOrderEventExceptionRegression : QCAlgorithm, IRegressionAlgorithmDefinition { private Symbol _spy = QuantConnect.Symbol.Create("SPY", SecurityType.Equity, Market.USA); /// /// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized. /// public override void Initialize() { SetStartDate(2013, 10, 07); SetEndDate(2013, 10, 11); AddEquity("SPY", Resolution.Minute); } /// /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here. /// /// Slice object keyed by symbol containing the stock data public override void OnData(Slice data) { if (!Portfolio.Invested) { SetHoldings(_spy, 1); Debug("Purchased Stock"); } } /// /// OnOrderEvent is called whenever an order is updated /// /// Order Event public override void OnOrderEvent(OrderEvent orderEvent) { throw new Exception("OnOrderEvent exception"); } /// /// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm. /// public bool CanRunLocally { get; } = true; /// /// This is used by the regression test system to indicate which languages this algorithm is written in. /// public Language[] Languages { get; } = { Language.CSharp }; /// /// This is used by the regression test system to indicate what the expected statistics are from running the algorithm /// public Dictionary ExpectedStatistics => new Dictionary { }; } }