- Adds log to display the python version the algorithm is using.
- Fixes python algorithms that were failing because of small subtleties
like leading zeroes.
- Updates pythonnet with a version compiled with python 3.6 flags
- Changes in DockerfileFoundation: we now use miniconda to manage the python
environment.
- Took the opportunity to add NTLK (#1349), Tensorforce (#1369) and
PyTorch/Pyro (#1385).
- Changes readme in Algorithm.Python to show steps to install miniconda
Creates a python wrapper for volatility models created in python algorithms and adds a method to the Security object to set such models.
Adds an algorithm to show how volatility models can be implemented.
In this update, methods overloads with decimal parameters accept python float.
- Fixes FractionalQuantityRegressionAlgorithm:
With the pythonnet update we can pass a python float where a decimal is required.
This algorithm serves as an example for the SetSecurityInilializer for python feature
The date range for the C# version is changed to match existing data
In this new nuget package, we have included two versions Python.Runtime.dll for macOS
We also add the instructions to compile pythonnet for different operational systems
Adds support for fee, fill and slippage custom modelling.
Adds CustomModelsAlgorithm to showcase the new feature
Modifies C# version of CustomModelsAlgorithm to match existing data in github
Due to pythonnet limitations, the list of SubmitOrderRequest could not be modified by OnMarginCall event handler. We now get a new list from that method and update the list in the wrapper.
Implements Quandl support for Python.
It was not possible to derive from Quandl in order to select the column. If the data did not have "close", it would thrown an exception since it would look for this work in a dictionary.
It is now possible to select the column.
See example QuandFuturesDataAlgorithm.py
In the advanced build settings, Language version was also upgraded from C# 5.0 to C# 6.0. The minimum Visual Studio version required will now be VS2015.
This update implemented implicit conversion.
From now on, python algorithms will be able to use string object instead of Symbol object when a method overload requires Symbol.
Adds overloads to Plot and PlotIndicator to handle calls from python.
Adds CustomChartingAlgorithm and changes MACDTrendAlgorithm to showcase the feature
Juan José D'Ambrosio