/* * 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 Python.Runtime; using QuantConnect.Data.UniverseSelection; using QuantConnect.Python; using System.Collections.Generic; using QuantConnect.Algorithm.Framework.Portfolio; namespace QuantConnect.Algorithm.Framework.Risk { /// /// Provides an implementation of that wraps a object /// public class RiskManagementModelPythonWrapper : RiskManagementModel { private readonly BasePythonWrapper _model; /// /// Constructor for initialising the class with wrapped object /// /// Model defining how risk is managed public RiskManagementModelPythonWrapper(PyObject model) { _model = new BasePythonWrapper(model); } /// /// Manages the algorithm's risk at each time step /// /// The algorithm instance /// The current portfolio targets to be assessed for risk public override IEnumerable ManageRisk(QCAlgorithm algorithm, IPortfolioTarget[] targets) { return _model.InvokeMethodAndEnumerate(nameof(ManageRisk), algorithm, targets); } /// /// Event fired each time the we add/remove securities from the data feed /// /// The algorithm instance that experienced the change in securities /// The security additions and removals from the algorithm public override void OnSecuritiesChanged(QCAlgorithm algorithm, SecurityChanges changes) { _model.InvokeMethod(nameof(OnSecuritiesChanged), algorithm, changes).Dispose(); } } }