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daks allows to distribute computation across a cluster. It basically allows to work with dataframes greater than your available memory. How? By applying computation and make it small enough before you

What would be the use of dask when running ib?? Would you be able to distribute one loggin across multiple machines?Sent from my Galaxy

Well I think pystore is a good package. As I said I faced a few issues recently, mainly due to pandas and dask move from fast parquet to pyarrow, it has break a few things. The package is not under

Yes, hopefully it does well. Once more people get on here, I thinking of setting up a code repo. I have a repo on GitHub already for ib code, so I could clean that up to use. That would be more for

Many thanks you setting this up. Hopefully we will have a thriving community as we once did . Good luck to us all and RIP Ewald . You will be always be remembered on this group.

I've been using mySQL, but you need a database server running.? I have one on? all the time for various things so I just use it.? I'm just interested in how it works and how it stores the

Yes, I’m using pystore I’m quite happy with it, except for some problems I found recently. Unfortunately it does not seem to be under active development, I have sent a pull request to have it

Welcome. Have you used Pystore? Sounds interesting.

Hi Everybody! I’m in. I’ll introduce myself while we are a small group :). So in short, I’m some kind of algorithm trader. And I’m interested in keeping this thing rolling. Cheers

This is a new groups.io forum for ib_async (formerly ib_insync). I am testing it out to see if there will be enough interest to warrant the paid version as the free version now only handles up to 100