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Talk to agents. Test trading ideas. Try AI trading agents on real market data — no code required.
翻譯準備中
個人 GitHub 帳號下公開儲存庫的擁有者可以登入並驗證所有權，自行管理介紹，無需管理員核准。
登入並產生驗證檔案，在 30 分鐘內將其提交至此儲存庫的預設分支。其他分支或分叉儲存庫中的檔案無效。然後在下方檢查檔案，即可無需管理員核准直接管理專案。請保留檔案以維持管理權限。
如需登入，將前往登入頁面。登入後請回到此處，再次點擊所選的驗證按鈕。
在專案資料夾中執行 /nomorevibe verify，即可驗證所有權並自行管理介紹。
一分鐘完成驗證Stock picks based on user-selected whatsapp groups
翻譯準備中
取自儲存庫 README
正在載入完整 README。 以下為已儲存的摘錄。
A Next.js app that ingests WhatsApp trading-group messages, digests shared charts/PDFs, and produces AI-driven stock recommendations.
This project uses pnpm. Install dependencies, then run the
development server:
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
The dashboard only runs on the Mac (Next.js + a Chromium WhatsApp session + a
local SQLite file). mcp/ exposes that same corpus over MCP so Claude on mobile
can run the analysis and write the report itself:檢視完整 README ↗A Next.js app that ingests WhatsApp trading-group messages, digests shared charts/PDFs, and produces AI-driven stock recommendations.
This project uses pnpm. Install dependencies, then run the development server:
pnpm install
pnpm dev
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
The dashboard only runs on the Mac (Next.js + a Chromium WhatsApp session + a
local SQLite file). mcp/ exposes that same corpus over MCP so Claude on mobile
can run the analysis and write the report itself:
pnpm mcp # MCP server on 127.0.0.1:3399, token from .env.local
pnpm mcp:tunnel # publish it via cloudflared
On this machine it's already wired into Claude Code — .mcp.json registers the
stdio entrypoint and .claude/agents/stock-analyst.md drives it. Setup, the
tool list and the security caveats are in mcp/README.md.
To learn more about Next.js, take a look at the following resources: