us-stock-radar

個人用「美股 AI 看盤雷達」。監控持股 / 高關注 / 一般觀察名單，自算技術指標、用規則引擎偵測異常事件，由常駐 AI 分析師（任何 OpenAI 相容 LLM）主動產生結構化研究與風險提醒，並透過 Email / Telegram 通知重大事件。介面採台股慣例配色（🔴 漲 / 🟢 跌）。 設計核心：規則引擎先把 raw tick 壓縮成事件，再交給 LLM 分析 —— LLM 絕不直接讀每秒報價，省 token、降雜訊。各常駐 process 透過 SQLite（WAL 模式）的 signals / alerts 狀態欄當作 event queue 溝通，無需 Redis / Kafka。 1. Fork 本 repo，連到 Zeabur。 2. 在 Zeabur 後台填入環境變數（同 .env）；掛載 Persistent Volume 到 `/data` 並設 DB_PATH=/data/us_stock_radar.sqlite。 3. start.sh 會自動建表、seed、backfill、啟動所有服務與 Dashboard。 us-stock-radar is the open-source project BDMisME/us-stock-radar (https://github.com/BDMisME/us-stock-radar) by BDMisME, released under MIT. Ion packages it unmodified from commit 098b00294a3d, adding only a manifest, an icon and a start script.

Written by BDMisME, published to Oikou by Ben Grande.

• ★ 76 stars on GitHub
• Licence: MIT
• Built from commit 098b00294a3d

View the repository on GitHub

Not rated. Nobody has said who this app is suitable for, so Personal Clouds and the Oikou app treat it as 18+.

Internet

It asks to reach these hosts, and no others:

• data.alpaca.markets
• stream.data.alpaca.markets
• finnhub.io
• financialmodelingprep.com
• query1.finance.yahoo.com
• query2.finance.yahoo.com
• fc.yahoo.com
• api.telegram.org

Personal Cloud tools

None. It uses nothing from your Personal Cloud beyond its own storage.

Notifications

It does not send push notifications.

Storage

Up to 512 MB on your Personal Cloud.

Sign in to add this web app to a Personal Cloud of yours. It runs there, on your own computer, and you open it from there; nothing is installed on your phone.

Sign in to add