# ValueCell-ai/valuecell

ValueCell is a community-driven, multi-agent platform for financial applications.

Repository: https://github.com/ValueCell-ai/valuecell
Canonical: https://ross.abutalabs.com/products/valuecell
Homepage: https://valuecell.ai
Language: Python
License: Apache-2.0
License Family: permissive
Topics: agentic-ai, agents, ai, assitant, crypto, equity, finance, investment, mcp, python, react, stock-market
Last push: 2026-03-09T08:30:21+00:00

## Health v2 (maintenance only)
Score: 60/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 71, release rhythm 65, longevity 26
- inputs: {"age_days": 366, "days_push": 177, "days_rel": 235, "gap_med": 1.0, "n_releases_24m": 21}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 11005, forks 1808 (observed 2026-08-28T04:10:45.834648+00:00)

## What it is
ValueCell is a community-driven, multi-agent platform for financial applications, providing AI investment agents for stock selection, research, tracking, and trading. It is a Python/React application that keeps sensitive data stored locally on the user's device.

## Use cases
- research stocks with AI agents
- get AI-powered stock selection recommendations
- track my investment portfolio with agents
- automate trading decisions with AI
- analyze A-share market and equities
- run a local multi-agent financial assistant
- deep research on crypto and equity markets

## When to choose
- you want AI agents for investment research, tracking, or trading
- you need a self-hosted financial assistant that keeps data local
- you want a community-driven multi-agent platform for finance
- you need A-share or crypto market analysis

## When to avoid
- you need guaranteed financial advice or regulated investment services
- you require a lightweight library rather than a full application
- you cannot run Python 3.12+ or deploy a Python/React stack
- you expect the project to bear responsibility for trading losses

## Facets
- artifact type: application
- maturity: active
- function: agent-framework, mcp, chatbot, llm-inference, data-visualization, analytics
- domain: fintech, artificial-intelligence, large-language-models
- platform: python, self-hosted, cross-platform
- tags: multi-agent, finance, investment, stock-market, trading, equity-research, crypto, a-share, react, ai-agents, cryptocurrency, web-server

## Member repositories
- ValueCell-ai/valuecell (main) score 60

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:45.834648+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 2026-08-29T17:17:14.112387+00:00, confidence not recorded.
  - readme: https://github.com/ValueCell-ai/valuecell (fetched 2026-08-28T04:10:45.834648+00:00, sha ed0b06e084c3)
  - homepage: https://valuecell.ai (fetched 2026-08-29T08:15:44.856694+00:00, sha 8d730b9b29d1)
- Data as of 2026-08-30T08:39:29.467469+00:00.