Dellagi/FinAI-Agent-RAG-Spark-Pipeline

A sophisticated trading system leveraging local LLM deployment through Ollama, distributed computing with Apache Spark, and vector-based episodic memory using ChromaDB to make intelligent trading decisions.

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Experimental

This system helps quantitative traders or investment managers automate real-time trading decisions. It takes market data streams and aggregated research as input, processes them through a finance-tuned AI, and outputs intelligent trading decisions and risk assessments. This is designed for professionals who manage investment portfolios and need to react quickly to market changes.

No commits in the last 6 months.

Use this if you need an automated trading system that leverages advanced AI to make real-time decisions based on market data, historical patterns, and contextual information, without relying on external AI API services.

Not ideal if you are looking for a simple stock analysis tool or do not have the technical expertise to deploy and manage a distributed computing and AI infrastructure.

quantitative-trading algorithmic-trading portfolio-management financial-market-analysis investment-automation
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 10 / 25

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Stars

15

Forks

2

Language

Python

License

Last pushed

Feb 03, 2025

Commits (30d)

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