Custom Indicator in Research?

I have the exact same problem. Is it possible to use Custom indicator in the research environment?

Hi all,

It is not currently possible to use custom Indicators in the Research Environment, but the link referenced above documents the correct way to implement a custom Indicator in an algorithm. We've opened an issue in GitHub to add this to our to-do list, and you can track its progress here.

This would be great to have!

Hello, for this to be possible you would have to do a manual update:

Here in the documentation, they give a good example of how to do that. It highly depends on the custom indicator that you create but since the general history function returns everything without upper case letters and without the EndTime columns I only would add this:

def history_columns(history):
    return [col[0].upper() + col[1:] for col in history.columns]
    
history = qb.History(ticker, 360, Resolution.Minute).loc[ticker]
history = history.reset_index().set_index('time',drop=False)
history.columns = history_columns(history)
history['EndTime'] = history['Time']
history

It is a bit troublesome if you have too many indicators, though