Implements python support for custom models in framework
Adds method overload that accept a `PyObject` to `SetAlpha`, `SetExecution`, `SetPortfolioConstruction`, `SetPortfolioSelection` and `SetRiskManagement`. In these methods, a custom model written in python will be wrapped around the respective `PythonWrapper`.
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/*
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* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
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* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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using Python.Runtime;
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using QuantConnect.Algorithm.Framework.Alphas;
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using QuantConnect.Algorithm.Framework.Execution;
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using QuantConnect.Algorithm.Framework.Portfolio;
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using QuantConnect.Algorithm.Framework.Risk;
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using QuantConnect.Algorithm.Framework.Selection;
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namespace QuantConnect.Algorithm.Framework
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{
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/// <summary>
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/// Algorithm framework base class that enforces a modular approach to algorithm development
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/// </summary>
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public partial class QCAlgorithmFramework
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{
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/// <summary>
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/// Sets the alpha model
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/// </summary>
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/// <param name="alpha">Model that generates alpha</param>
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public void SetAlpha(PyObject alpha)
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{
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IAlphaModel model;
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if (alpha.TryConvert(out model))
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{
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SetAlpha(model);
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}
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else
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{
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Alpha = new AlphaModelPythonWrapper(alpha);
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}
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}
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/// <summary>
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/// Sets the execution model
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/// </summary>
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/// <param name="execution">Model defining how to execute trades to reach a portfolio target</param>
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public void SetExecution(PyObject execution)
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{
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IExecutionModel model;
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if (execution.TryConvert(out model))
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{
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SetExecution(model);
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}
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else
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{
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Execution = new ExecutionModelPythonWrapper(execution);
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}
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}
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/// <summary>
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/// Sets the portfolio construction model
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/// </summary>
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/// <param name="portfolioConstruction">Model defining how to build a portoflio from alphas</param>
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public void SetPortfolioConstruction(PyObject portfolioConstruction)
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{
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IPortfolioConstructionModel model;
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if (portfolioConstruction.TryConvert(out model))
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{
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SetPortfolioConstruction(model);
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}
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else
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{
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PortfolioConstruction = new PortfolioConstructionModelPythonWrapper(portfolioConstruction);
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}
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}
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/// <summary>
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/// Sets the portfolio selection model
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/// </summary>
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/// <param name="portfolioSelection">Model defining universes for the algorithm</param>
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public void SetPortfolioSelection(PyObject portfolioSelection)
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{
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IPortfolioSelectionModel model;
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if (portfolioSelection.TryConvert(out model))
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{
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SetPortfolioSelection(model);
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}
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else
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{
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PortfolioSelection = new PortfolioSelectionModelPythonWrapper(portfolioSelection);
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}
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}
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/// <summary>
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/// Sets the risk management model
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/// </summary>
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/// <param name="riskManagement">Model defining how risk is managed</param>
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public void SetRiskManagement(PyObject riskManagement)
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{
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IRiskManagementModel model;
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if (riskManagement.TryConvert(out model))
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{
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SetRiskManagement(model);
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}
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else
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{
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RiskManagement = new RiskManagementModelPythonWrapper(riskManagement);
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}
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}
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}
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}
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