OpenBanking FAQs

Question 1

Can OpenBanking assist with financial data analysis and operations?

Accepted Answer

Yes, it provides a comprehensive tool system for diverse financial operations, including portfolio analysis, market condition assessment, risk evaluation, investment strategy recommendations, and financial concept explanations.

Question 2

What specialized agents does OpenBanking offer?

Accepted Answer

OpenBanking features four dedicated LLM agents: Market Analyst, Portfolio Manager, Risk Analyst, and an Explainability Agent, each tailored for specific financial tasks and generating insightful analysis.

Question 3

What are the prerequisites for setting up OpenBanking?

Accepted Answer

To run OpenBanking, you need Python 3.8+ (preferably with a Conda environment), and a locally installed and running Ollama instance with your desired language models pulled.

Question 4

What type of LLMs does OpenBanking utilize?

Accepted Answer

It integrates directly with local Ollama LLM models, allowing you to use and manage various open-source language models (e.g., Llama 3.2) securely within your local environment for enhanced privacy and control.

Question 5

What is OpenBanking?

Accepted Answer

OpenBanking is an MCP (Model Context Protocol) server that integrates local Ollama LLMs with specialized AI agents and a comprehensive toolset, designed to power advanced banking and financial applications.

OpenBanking

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