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FWIW I have been using beancount for many years, love it, but it is not the tool for modeling flows or forecasting.
The data it captures can feed a model, but getting that model to a useful place can be quite a lot of work and is an entirely separate domain from the ledger.
I think there is an opportunity for someone to put together a Jupyter notebook that brings in some basic modeling infrastructure and can pull in ledger data with SQL. Not a trivial task but would be quite useful for a lot of people.
I have some code and a Jupyter notebook to graph assets and their current market prices, and it exactly does use Beancount's Python to SQL interface to fetch that data.
It's hacky, but I could share it, if there is interest.--
Rudd-O
http://rudd-o.com/