# AI4Finance-Foundation/FinRobot

FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models

Repository: https://github.com/AI4Finance-Foundation/FinRobot
Canonical: https://ross.abutalabs.com/products/finrobot
Homepage: https://finrobot.ai
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Topics: aiagent, fingpt, chatgpt, finance, large-language-models, multimodal-deep-learning, prompt-engineering, robo-advisor
Last push: 2026-08-23T12:06:08+00:00

## Health v2 (maintenance only)
Score: 81/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 68, longevity 65
- inputs: {"age_days": 919, "days_push": 10, "days_rel": 57, "gap_med": 108, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7866, forks 1332 (observed 2026-08-28T04:10:08.313651+00:00)

## What it is
FinRobot is an open-source AI agent platform for financial applications built on large language models, unifying LLMs, reinforcement learning, and quantitative analytics. It supports investment research automation, algorithmic trading strategies, and risk assessment, and ships a macOS desktop equity research cockpit.

## Use cases
- automate equity research reports from filings and market data
- build AI agents for financial analysis
- run algorithmic trading strategy research with LLMs
- assess investment risk using multi-agent workflows
- build a robo-advisor chatbot
- analyze company filings and produce valuation reports

## When to choose
- you need an open-source LLM agent framework specialized for finance
- you want to prototype investment research or trading automation in Python
- you want a multi-agent architecture combining LLMs with quantitative analytics

## When to avoid
- you need a production-grade, regulated trading execution system
- you need a general-purpose agent framework unrelated to finance
- you require guaranteed accuracy for financial advice without human review

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, llm-inference, machine-learning, prompt-engineering, data-science, trading
- domain: artificial-intelligence, large-language-models, fintech, machine-learning, data-science
- platform: python, cross-platform
- tags: finance, robo-advisor, investment-research, algorithmic-trading, fingpt, multi-agent, quantitative-finance, ai-agents, macos

## Member repositories
- AI4Finance-Foundation/FinRobot (main) score 81

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:08.313651+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:33:45.554813+00:00, confidence not recorded.
  - readme: https://github.com/AI4Finance-Foundation/FinRobot (fetched 2026-08-28T04:10:08.313651+00:00, sha 4b36278ce75d)
  - homepage: https://finrobot.ai (fetched 2026-08-29T08:30:20.779859+00:00, sha 34c0d4032ce2)
  - registry_pypi: https://pypi.org/pypi/finrobot/json (fetched 2026-08-29T08:30:20.789083+00:00, sha 898320972522)
- Data as of 2026-08-30T08:39:29.467469+00:00.