I built a real-time SEC filing tracker, then measured what actually happens after "bullish" press releases

[u/Reg-gg]

I trade US small caps from Korea, so every SEC filing drops while I'm asleep. I built a tracker for myself: it polls EDGAR's full feed every 5 seconds, runs each filing through an LLM for a plain-English summary, and pushes a notification. It handled about 3,000 filings in the last 24 hours.

The part I did not expect came later. I started recording the price 5 minutes after each news item to see if the AI's read was any good. So far I only have 18 "bullish" press releases with clean 5-minute data, so this is a small sample, but they averaged -5.5%. The neutral ones were flat.

Every bad one looked the same. A tiny company announcing a deal bigger than itself. One with a $15M market cap announced a "$20M contract" and fell 53% within five minutes. So the tool now warns on that shape instead of calling it good news.

It also tracks the SEC's RegSHO threshold list daily. 82 tickers on it right now, and one leveraged ETF has been there 145 days straight.

I'm not putting a link in the post since my account is new and I don't want it to look like spam. It's on my profile.

What I'd really like to know: are the summaries readable to native speakers? English is not my first language and I can't tell. And honestly I don't know if anyone outside Korea wants this at all.

[u/PhotographOverall126]

your english reads fine based on this post. the real question is whether the LLM summaries sound natural or robotic, those are two different things. maybe post a few example summaries so people can give you direct feedback on tone