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AI Stock

A Python multi-agent stock research workspace covering 12 markets with optional JEV trading decisions: configure a TypeSafe key, select the JEV decisions-only strategy, and get buy/sell/hold, probabilities, and confidence without a research report.
Stars
357
Language
Python
License
MIT
Reading time
3 min
Published by
Community
Author
EthanAlgoX
Last verified
Sep 2026

About this project

Empower every stock researcher with AI—so one person can research with the capabilities of a team. Your AI workspace for researching stocks, comparing ideas, and testing strategies with simulated money. Research assistant · Expert roundtable · Stock research · Strategy screening · Trade simulation. English · 简体中文 · 繁體中文 · 日本語 · 한국어.

Quoted from the project's README. Read the full README.

Highlights

  • Research covers 12 markets including mainland China, Hong Kong, the US, Japan, and the UK.
  • JEV decisions need a separate TypeSafe API key in Settings, then the JEV decisions-only strategy.
  • Paper simulation supports the first six markets and never places live broker orders.
  • Runs locally with Python 3.10+, Node 20.19-26.x, and npm 10+, or via a hosted site with an invitation code.
  • Also offers an expert roundtable, strategy screening, and saved research reports.

Quickstart

bash
pip install -r requirements.txt
if [ ! -f .env ]; then cp .env.example .env; fi

Watch out

MIT-licensed. Needs Python 3.10+, Node 20.19-26.x, npm 10+, Git, and a tool-calling model provider; reports and simulated performance are not financial advice.

Questions about this entry

Short answers drawn from the linked project or page.

Reactions & coverage

Posts, threads, and videos about this entry from around the web.

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X: A Jev trading bot on Telegram

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