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`.
This commit is contained in:
AlexCatarino
2018-03-13 11:35:31 +00:00
parent 4e3577939d
commit 35d29060d0
8 changed files with 501 additions and 1 deletions
@@ -0,0 +1,115 @@
/*
* 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.Algorithm.Framework.Alphas;
using QuantConnect.Algorithm.Framework.Execution;
using QuantConnect.Algorithm.Framework.Portfolio;
using QuantConnect.Algorithm.Framework.Risk;
using QuantConnect.Algorithm.Framework.Selection;
namespace QuantConnect.Algorithm.Framework
{
/// <summary>
/// Algorithm framework base class that enforces a modular approach to algorithm development
/// </summary>
public partial class QCAlgorithmFramework
{
/// <summary>
/// Sets the alpha model
/// </summary>
/// <param name="alpha">Model that generates alpha</param>
public void SetAlpha(PyObject alpha)
{
IAlphaModel model;
if (alpha.TryConvert(out model))
{
SetAlpha(model);
}
else
{
Alpha = new AlphaModelPythonWrapper(alpha);
}
}
/// <summary>
/// Sets the execution model
/// </summary>
/// <param name="execution">Model defining how to execute trades to reach a portfolio target</param>
public void SetExecution(PyObject execution)
{
IExecutionModel model;
if (execution.TryConvert(out model))
{
SetExecution(model);
}
else
{
Execution = new ExecutionModelPythonWrapper(execution);
}
}
/// <summary>
/// Sets the portfolio construction model
/// </summary>
/// <param name="portfolioConstruction">Model defining how to build a portoflio from alphas</param>
public void SetPortfolioConstruction(PyObject portfolioConstruction)
{
IPortfolioConstructionModel model;
if (portfolioConstruction.TryConvert(out model))
{
SetPortfolioConstruction(model);
}
else
{
PortfolioConstruction = new PortfolioConstructionModelPythonWrapper(portfolioConstruction);
}
}
/// <summary>
/// Sets the portfolio selection model
/// </summary>
/// <param name="portfolioSelection">Model defining universes for the algorithm</param>
public void SetPortfolioSelection(PyObject portfolioSelection)
{
IPortfolioSelectionModel model;
if (portfolioSelection.TryConvert(out model))
{
SetPortfolioSelection(model);
}
else
{
PortfolioSelection = new PortfolioSelectionModelPythonWrapper(portfolioSelection);
}
}
/// <summary>
/// Sets the risk management model
/// </summary>
/// <param name="riskManagement">Model defining how risk is managed</param>
public void SetRiskManagement(PyObject riskManagement)
{
IRiskManagementModel model;
if (riskManagement.TryConvert(out model))
{
SetRiskManagement(model);
}
else
{
RiskManagement = new RiskManagementModelPythonWrapper(riskManagement);
}
}
}
}