/*
* 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();
}
}
}