Tradingdashboard — AI skill for Claude Code
Hebrew RTL TradingView-styled news aggregator.
How to install Tradingdashboard
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open peleg-jpg/tradingdashboard and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Tradingdashboard does
Hebrew RTL TradingView-styled news aggregator. Workshop demo for AI Agent School Claude Code. Educational tool only, not investment advice.
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README
tradingdashboard
**כלי לימודי בלבד. לא ייעוץ השקעות.** **Educational tool only. Not investment advice.**
A Hebrew-RTL, TradingView-styled news aggregator that pulls posts and articles about tech / AI / crypto tickers from X (Twitter), Reddit, RSS, and Hacker News, classifies the tone of each item in Hebrew via Claude Code, and tracks mention velocity over time.
Built as the live worked example for the AI Agent School Claude Code workshop. Students clone this repo, plug in their own keys, and have a real working dashboard in under 10 minutes.
תוכן עניינים / Table of contents
- English quick start
- התחלה מהירה בעברית
- What it does
- Architecture in one screen
- Adding your own sources
- Production / workshop mode
- Optional: MCP servers
- Troubleshooting
- Disclaimer
English quick start
1. Prerequisites
- Node 22+ and npm 10+ (
node -vto check) - Claude Code CLI installed and authenticated. Get it from claude.com/code. The sentiment analyzer uses the CLI as a subprocess instead of the API, so you do NOT need an Anthropic API key - your existing Claude subscription is used.
- Apify account, free tier. The free tier gives you $5/month in credits, which is plenty for the workshop demo (the sync button is server-side rate-gated to 1 call per 5 min).
2. Clone and install
git clone https://github.com/peleg-jpg/tradingdashboard.git
cd tradingdashboard
npm install
3. Get your Apify token
- Go to console.apify.com/account/integrations
- Sign up (free, no credit card)
- Copy the Personal API token
4. Configure
cp .env.example .env.local
Open `.env.local` and paste your token:
APIFY_API_
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