# simonlin1212/Vibe-Research

Vibe-Research: Your Personal Trading Research Agent · A股/美股/港股 的个人投研 Agent：每日复盘、资讯雷达、个股数据、板块中心、我的持仓、研究记录。Vibe-Research 把数据和功能配齐，由你自己的 AI 驱动投资研究。

Repository: https://github.com/simonlin1212/Vibe-Research
Canonical: https://ross.abutalabs.com/products/vibe-research
Homepage: https://viberesearch.wiki
Language: Python
License: MIT
License Family: permissive
Topics: a-stock, ai-agent, dashboard, fastapi, fintech, hk-stocks, investment-research, llm, mcp, python, react, stock-market, trading, us-stocks
Last push: 2026-08-20T10:31:04+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 98, longevity 4
- inputs: {"age_days": 59, "days_push": 13, "days_rel": 13, "gap_med": 2.0, "n_releases_24m": 11}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2191, forks 454 (observed 2026-08-28T04:06:24.083574+00:00)

## What it is
Vibe-Research is an open-source, local-first personal AI investment research dashboard for China A-shares (plus US and HK stocks), built with FastAPI and React. It aggregates market data, news, fundamentals, and portfolio tracking, and plugs into your own AI model or agent (Codex/Claude Code subscriptions or OpenAI-compatible endpoints) to drive research, daily reviews, and backtesting.

## Use cases
- run a personal AI investment research dashboard for A-shares, US, and HK stocks
- get a daily market recap with sentiment and sector fund flows
- aggregate financial news and industry signals from RSS sources
- research individual stocks with a six-stage evidence-backed workflow
- track my watchlist and portfolio positions locally
- run backtests by describing a hypothesis to an AI agent
- connect my own LLM or Codex/Claude subscription to analyze market data
- archive research reports and query them with a local knowledge base

## When to choose
- you want a self-hosted, local-first stock research workbench where your data stays on your machine
- you want to bring your own AI model or subscription instead of a bundled chatbot
- you primarily follow China A-shares and also want US/HK coverage
- you want evidence chains and reproducible calculations behind research numbers

## When to avoid
- you want automated trading or stock recommendations - it explicitly does neither
- you need a fully managed cloud service with zero setup
- you need real-time tick-level trading infrastructure rather than research tooling

## Facets
- artifact type: application
- maturity: active
- function: agent-framework, llm-inference, rag, data-visualization, analytics, chat-interface, mcp, web-framework, search-engine, trading
- domain: fintech, artificial-intelligence, large-language-models, data-visualization, self-hosted, analytics
- platform: python, self-hosted, cross-platform
- tags: stock-research, a-share, us-stocks, hk-stocks, investment-dashboard, daily-review, backtesting, bring-your-own-ai, fastapi, react, local-first, financial-agent, ai-agents, web-server, docker

## Member repositories
- simonlin1212/Vibe-Research (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:24.083574+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 2026-08-30T02:47:36.298872+00:00, confidence not recorded.
  - readme: https://github.com/simonlin1212/Vibe-Research (fetched 2026-08-28T04:06:24.083574+00:00, sha f9d9ab574dc3)
  - homepage: https://viberesearch.wiki (fetched 2026-08-29T10:27:53.781462+00:00, sha ff6fbbfccb10)
- Data as of 2026-08-30T08:39:29.467469+00:00.