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sun young
sun young

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HunterCode: Bring Your AI Investment Research Terminal Home

Anyone doing investment research has a bit of a data hygiene problem: strategies, positions, and stock-selection logic are the most private things you own — the last thing you want is them living on someone else's server.

HunterCode (Community Edition, 521 stars, Apache-2.0, Python) is an open-source answer. Its pitch: a self-hosted AI investment research assistant — your data and your conversations stay on your machine.

What it is

A multi-agent investment research terminal covering A-shares, HK, and US stocks. The core word is local:

  • Inference runs on your machine — not shipped to a cloud model;
  • Positions never leave your disk — holdings, strategies, research notes stay local;
  • BYOK — bring your own model keys, you keep control of the data;
  • docker compose self-hosting — one command to bring the service up.

For people who do this seriously, it means: you get AI research capability without giving up data sovereignty.

Three signals it's worth watching

  • "Local-first" hits a hard requirement in investing. The sensitivity of financial data makes "data never leaves the machine" a must, not a nice-to-have. Whoever makes on-prem AI research work well solves the compliance and privacy headache that private funds and professional individual investors feel most acutely.
  • Multi-agent architecture. Not a single chatbot — multiple agents each owning a slice of the research workflow. That's closer to how real investment research actually gets done than "one big model answering questions."
  • Pure open source, pure local. Apache-2.0, docker compose, BYOK — no cloud lock-in, no data exfil. The posture a serious research tool should have.

The honest caveat

It's for people comfortable tinkering, not a turnkey SaaS. You need to:

  • be comfortable with docker compose deployment;
  • have model API access (BYOK);
  • sort out your own data sources (quotes, financials, etc.).

It's friendliest to private-fund research teams and willing individual investors — the "just install an app" crowd will hit a wall. Note too it positions itself as an open-source alternative to Tencent's WorkBuddy Finance Edition, with no affiliation to Tencent.

I've localized the README and core docs to Chinese: https://github.com/yangshun2005/hunter-community-cn

If you find this project useful, a star on the original repo supports the author's ongoing maintenance.

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