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QuantConnect Python Algorithm Project:

Before we enable python support, follow the installation instructions to get LEAN running C# algorithms in your machine.

1. Install Python 3.6:

  1. Use the Windows x86-64 MSI installer from https://www.python.org/downloads/release/python-364/.
  2. When asked to select the features to be installed, make sure you select "Add python.exe to Path"
  3. Skip the next step if python36.dll can be found at C:\Windows\System32.
  4. Add python36.dll location to the system path:
    1. Right mouse button on My Computer. Click Properties.
    2. Click Advanced System Settings -> Environment Variables -> System Variables
    3. On the "Path" section click New and enter the python36.dll path, in our example this was C:\Windows\System32
    4. Create two new system variables: PYTHONHOME and PYTHONPATH which values must be, respectively, the location of your python installation (e.g. C:\Python36amd64) and its Lib folder (e.g. C:\Python36amd64\Lib).
  5. Install pandas and its dependencies.

2. Run python algorithm:

  1. Prepare Python.Runtime.dll. This is needed to run Python algorithms in LEAN.
    1. Delete the existing files in \Lean\packages\QuantConnect.pythonnet.1.0.5.7\lib
    2. Using windows you'll need to copy the \Lean\packages\QuantConnect.pythonnet.1.0.5.7\build\Python.Runtime.win file into the ..\lib\ directory and rename it to Python.Runtime.dll.
  2. Update the config to run the python algorithm:
"algorithm-type-name": "BasicTemplateAlgorithm",
"algorithm-language": "Python",
"algorithm-location": "../../../Algorithm.Python/BasicTemplateAlgorithm.py",
  1. Rebuild LEAN. This step will ensure that the Python.Runtime.dll you set in 2.1 will be used.
  2. Run LEAN. You should see the same result of the C# algorithm you tested earlier.

1. Install Python 3.6 with Anaconda:

  1. Follow "Installing on macOS" instructions from Anaconda documentation page.
  2. Prepend the Anaconda install location to DYLD_FALLBACK_LIBRARY_PATH.
$ export DYLD_FALLBACK_LIBRARY_PATH="/<path to anaconda>/lib:$DYLD_FALLBACK_LIBRARY_PATH"
  1. For Visual Studio for Mac users: add symbolic links to python's dynamic-link libraries in /usr/local/lib
$ sudo mkdir /usr/local/lib
$ sudo ln -s /<path to anaconda>/lib/libpython* /usr/local/lib
  1. Install pandas and its dependencies.

2. Run python algorithm:

  1. Prepare Python.Runtime.dll. This is needed to run Python algorithms in LEAN.
    1. Delete the existing files in \Lean\packages\QuantConnect.pythonnet.1.0.5.7\lib
    2. Using windows you'll need to copy the \Lean\packages\QuantConnect.pythonnet.1.0.5.7\build\Python.Runtime.mac file into the ..\lib\ directory and rename it to Python.Runtime.dll.
  2. Update the config to run the python algorithm:
"algorithm-type-name": "BasicTemplateAlgorithm",
"algorithm-language": "Python",
"algorithm-location": "../../../Algorithm.Python/BasicTemplateAlgorithm.py",
  1. Rebuild LEAN. This step will ensure that the Python.Runtime.dll you set in 2.1 will be used.
  2. Run LEAN. You should see the same result of the C# algorithm you tested earlier.

1. Install Python 3.6 with Miniconda: By default, miniconda is installed in the users home directory ($HOME):

export PATH="$HOME/miniconda3/bin:$PATH"
wget http://cdn.quantconnect.com.s3.amazonaws.com/miniconda/Miniconda3-4.3.31-Linux-x86_64.sh
bash Miniconda3-4.3.31-Linux-x86_64.sh -b
rm -rf Miniconda3-4.3.31-Linux-x86_64.sh
sudo ln -s $HOME/miniconda3/lib/libpython3.6m.so /usr/lib/libpython3.6.so
conda update -y python conda pip
conda install -y cython pandas

2 Run python algorithm:

  1. Update the config to run the python algorithm:
"algorithm-type-name": "BasicTemplateAlgorithm",
"algorithm-language": "Python",
"algorithm-location": "../../../Algorithm.Python/BasicTemplateAlgorithm.py",
  1. Run LEAN. You should see the same result of the C# algorithm you tested earlier.

Python.Runtime.dll compilation

LEAN users do not need to compile Python.Runtime.dll. The information below is targeted to developers who wish to improve it.

Download QuantConnect/pythonnet github clone or downloading the zip. If downloading the zip - unzip to a local pathway.

Note: QuantConnect's version of pythonnet is an enhanced version of pythonnet with added support for System.Decimal and System.DateTime.

Below we can find the compilation flags that create a suitable Python.Runtime.dll for each operating system.

Windows

msbuild pythonnet.sln /nologo /v:quiet /t:Clean;Rebuild /p:Platform=x64 /p:PythonInteropFile="interop36.cs" /p:Configuration=ReleaseWin /p:DefineConstants="PYTHON36,PYTHON3,UCS2"

macOS

msbuild pythonnet.sln /nologo /v:quiet /t:Clean;Rebuild /p:Platform=x64 /p:PythonInteropFile="interop36m.cs" /p:Configuration=ReleaseMono /p:DefineConstants="PYTHON36,PYTHON3,UCS4,MONO_OSX,PYTHON_WITH_PYMALLOC"

Linux

msbuild pythonnet.sln /nologo /v:quiet /t:Clean;Rebuild /p:Platform=x64 /p:PythonInteropFile="interop36m.cs" /p:Configuration=ReleaseMono /p:DefineConstants="PYTHON36,PYTHON3,UCS4,MONO_LINUX,PYTHON_WITH_PYMALLOC"