A practical ranking of SEC filing types by short-term price impact, and how to get 8-K filing alerts in real time, scored for actionability instead of raw EDGAR noise.
The SEC receives thousands of filings on a normal trading day. A small fraction of them precede a meaningful price move within the next hour. The rest are routine filings such as prospectus supplements and ownership housekeeping, or amendments that restate what the market already knew. If you want to know which SEC filings move stock prices, the useful answer has two parts: a ranking by filing type, and a warning that the type alone is a weak filter, because the highest-impact form is also the noisiest one.
Filing types ranked by short-term price impact
A rough ordering, from most likely to move a stock in the near term to least:
8-K (current reports). This is where material events appear first: earnings results under Item 2.02, entry into or termination of material agreements under Item 1.01, executive departures under Item 5.02, bankruptcy under Item 1.03, delisting notices, impairments. When a stock gaps on news, an 8-K is very often the source document.
Schedule 13D and amendments. A 13D discloses that someone has crossed 5% ownership with activist intent. New 13Ds from known activists routinely reprice a stock within minutes. Schedule 13G, the passive equivalent, matters far less.
Form 4 (insider transactions). Open-market purchases by a CEO or a cluster of officers can move a small-cap. Routine option exercises and scheduled 10b5-1 sales generally do nothing.
S-1s, S-3s, and 424B prospectuses. These signal dilution or an upcoming offering. The reaction is usually negative and often fast, especially for smaller issuers.
10-K and 10-Q (annual and quarterly reports). The headline numbers are typically pre-announced in an 8-K, so the periodic report itself moves prices less than people expect. The exceptions are in the text itself: going-concern language, newly disclosed litigation, and changes to the risk factors.
Amendments, 13F holdings reports, and administrative filings. 13Fs arrive up to 45 days after quarter end. A 10-Q/A correcting a typo is noise. This bottom tier makes up much of EDGAR's daily volume.
The complication is that the ranking holds only on average. Most 8-Ks are Item 7.01 or 8.01 disclosures, press-release attachments, and other boilerplate filings that no one trades on. The form type with nearly all of the short-horizon signal also produces the most non-events, so an alert on every 8-K will quickly train you to ignore your own alerts.
Problems with polling EDGAR directly
The obvious build is to poll EDGAR's public feeds and push everything matching your watchlist. Teams that try this hit the same problems. Polling intervals add latency on top of dissemination time, and by the time your parser has fetched the document, extracted the item codes, and run whatever filtering logic you wrote, faster participants have already read the filing. Then there is classification. An Item 1.01 tag indicates that a material agreement exists, but not whether it is a transformative licensing deal or a routine credit-facility extension. You end up writing keyword rules, and those rules stop working well over time.
A SEC EDGAR real-time API fixes the delivery mechanics but does not decide which filings matter. You still receive a hundred 8-Ks to find the one worth acting on.
Forecite addresses both problems. The feed ingests directly from sources (SEC EDGAR, wire services, exchanges, central banks) with no aggregator in the middle, one hop from the publisher, processing 180,000+ items weekly. Each event reaches subscribers with a scored verdict in under 50 milliseconds from publication. The company publishes per-event latency telemetry and a 99.97% trailing uptime figure, which makes the sub-50 ms claim verifiable.
How actionability scoring works
The scoring layer is the Verdict Engine, a single-pass NLP model trained on 1.2M+ labeled headlines. The training labels come from what the market actually did: scores are calibrated to the realized 1-hour return following each event, and the model retrains weekly. Forecite describes this as headlines "labelled by the market, not by humans," which is the practical difference from generic sentiment tools. A generic model reads "material definitive agreement" and scores the language. A market-calibrated model has seen thousands of Item 1.01 filings and learned which phrasings, contexts, and issuers historically preceded a real move.
Every event gets two numbers. Actionability runs from 0 to 1 and estimates whether the event is worth reacting to at all. The combined verdict runs from −1.0 to +1.0 and adds direction. In practice, this collapses the filing-type ranking above into a single filter: rather than subscribing to specific form types, you subscribe to a ticker universe and set an actionability threshold. A boilerplate Item 7.01 filing scores low and is filtered out before it reaches you. An Item 2.02 with a guidance cut scores high and arrives while the market is still reading it.
Getting 8-K filing alerts in real time
Delivery depends on how you trade. The WebSocket stream fits desks and bots that maintain a persistent connection. Webhooks push high-actionability events into whatever you already run, from an execution system to a Slack channel. REST covers queries and search across the scored corpus. SDKs exist for Python, Node.js/TypeScript, and Rust, and there is an MCP server (@forecite/mcp) so AI agents can consume scored filings as a native tool without custom integration work.
A minimal setup for filings alerting looks like this: subscribe to your tickers over WebSocket, filter for events sourced from EDGAR, and act only above your actionability cutoff. The Starter tier at $39/month includes the scored realtime feed with 5,000 feeds per day, which covers a focused watchlist. Pro at $119/month removes the feed cap and extends the historical API to 30 days for active desks. Quant at $399/month adds unlimited API keys, a 1-year historical API, and 1,000 daily artifact-scoring requests for systematic teams.
Validating the signal before you trade it
A scored feed should be tested before you rely on it. Most alerting products make this difficult, because the alerts were never stored in a form you can backtest. Forecite provides historical backfill and deterministic replay: the same event stream, with the scores as they existed at the time, in a form the company calls point-in-time honest. You can replay the last year of scored 8-Ks against your strategy and measure what an actionability threshold of 0.7 versus 0.5 would have done to your hit rate.
There is also a public benchmark. Forecite runs a live desk of three real-money Alpaca accounts trading US equities, where an autonomous bot uses one decision input: the Forecite feed. Equity curves have run since January 1, 2026, so the track record is short, and the standard caveat applies (past performance is not indicative of future results). Still, publishing a real-money bot is more accountability than most signal vendors offer.
Start with the feed
The Free tier costs $0, requires no card, and includes the unscored realtime feed with 50 feeds per day, which is enough to watch EDGAR events arrive in real time before you commit to scoring. When you are ready to see which of those filings the market would actually trade, upgrade to a scored tier and set your first actionability threshold. Create a free Forecite API key and point it at your watchlist.
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