Set up scheduled research on a stock watchlist
They used scheduled agent runs to scan watchlists for fresh company news, events, and insider activity.
- What they did
- They described a setup with daily and weekly cron jobs that would launch a script for deeper AI research on their watchlists. They also wanted a few extra tools for quick baseline checks on any stock. They were planning to adapt bought “skills” for local AI on a MacBook, but said the whole thing was still unfinished.
- How it went
- They did not share any finished workflow or performance results. The main issue they mentioned was time, and the system was still a work in progress. They said the Substack cost was about $300 a year after a discount.
- Tips
- If you try this, start with a small watchlist and separate the fast checks from the deeper review. Keep the job limited to reporting and make it wait for approval before any trade, message, or filing action.
Try it yourself with OpenClaw
At [time] on [days], run a research pass on my watchlist: [tickers or symbols]. Check for company news, earnings dates, scheduled events, and insider filings, then note what is new since the previous run and give me a short summary with sources. Also pull a quick baseline snapshot for each name using [data tools]. Before you do anything that would place a trade, send a message, delete data, or submit anything, stop and ask me to approve it first. Deliver the final digest to [channel].
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
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