Emacs as an IDE

QuantConnect's LEAN engine supports local development and you can use any IDE or text editor you prefer, including Emacs. However, the specific instructions for setting up Emacs with QuantConnect are not provided in the knowledge sources.

For running Jupyter notebooks like research.ipynb, you would typically use Jupyter Lab or Jupyter Notebook. These are web-based interfaces and are not tied to any specific text editor.

If you want to run Jupyter notebooks from Emacs, you might want to look into Emacs packages that support this, such as EIN (Emacs IPython Notebook). However, this is outside the scope of QuantConnect and the provided knowledge sources.

As for using the QuantConnect Docker image, one of the forum discussions mentions running a strategy using the quantconnect/lean:latest image and then trying quantconnect/research:latest for Jupyter Lab. However, there were some issues with running a specific notebook.

Here is the code that was used:

from clr import AddReference
AddReference("System")
AddReference("QuantConnect.Common")
AddReference("QuantConnect.Indicators")
from System import *
from QuantConnect import *
from QuantConnect.Data.Custom import *
from QuantConnect.Data.Market import TradeBar, QuoteBar
from QuantConnect.Indicators import *
qb = QuantBook()

Please note that this code is for running within the Jupyter notebook and not from Emacs.

For more detailed instructions on setting up your local development environment, you might want to refer to the QuantConnect documentation. While it specifically mentions VS Code, much of the information would be applicable to any development environment.