Feed MMEX data to your Local LLM?

[guangong]

Is this still a good idea to better understand and analyze your data?

[luisdev]

I guess so.

What would a Local LLM be?

[MlinMMEX]

I do not get the exact goal of this topic...

Do you mean to add a "local" LLM embedded on MMEX to make insights on the user's data?
How would you manage the prompting?
How would that affect to GRM? A lot, I guess
Where this idea came from? Any competitive software does it already?

So, what do you mean?

PD: Have you already asked an AI engine about this?

[guangong]

Your local LLM would be an Ollama or LMStudio instance with your preferred model (e.g. gemma3:4b).

The basic idea is that MMEX provides an interface for interacting with the LLMs by passing predefined or ad-hoc transaction data. Then, the model might help analyze your data pattern and result in some suggestions.

In terms of prompting, MMEX would offer system ones (e.g., historical data), while you can always input your own. e.g., whether my balance is healthy?

It would be a brand new function and would have no impact on the existing feature set.


You can verify it easily by sending both your mmex data and the question to your local AI or external AI with some non-sensitive data.

[MlinMMEX]

Hmmm sounds as a very very good idea! I love it!

So, I asked AI and see its attached answer. ( see disclaimer later )
There are financial-oriented LLMs as FinGPT
https://github.com/AI4Finance-Foundatio ... /README.md

This answer was generated using an AI engine in accordance with the EU AI Act. While every effort has been made to ensure accuracy and respect for copyright and user rights, please note that this content is for informational purposes only and does not constitute legal or professional advice. Users are encouraged to verify information and respect the rights and freedoms of others when sharing or acting on this content

[guangong]

cool. can you try it by passing some MMEX data?