AI STOCK SCREENER
An AI stock screener that reads the filings
An AI stock screener is a research tool that filters a stock universe with quantitative criteria, then uses AI to evaluate what the numbers alone can't. RockTurners applies that pattern to primary sources: fixed screens narrow over 5,000 U.S.-listed companies, and an AI evaluator reads the SEC filings of the top-ranked companies that pass — returning a verdict on fit to a published investing framework that names the filing sections it cites and the gaps it finds, never an action to take.
UPDATED November 7, 2026
THE PATTERN
Two stages, like any screener — plus the reading most screeners skip
Stage 1 is familiar: quantitative filters — return on capital, balance-sheet strength, payout coverage, whatever the framework requires — run against the SEC EDGAR operating universe, identically every time. Most screeners stop there and hand back a list.
Stage 2 is the part that makes it an AI stock screener worth the name: an evaluator reads the actual filings of the top-ranked companies that pass — annual and quarterly reports, proxy statements, insider forms — against a fixed rubric, and returns one of three verdicts on framework fit — how well the company's filings satisfied the framework's criteria: Gemstone, Geode, or Sediment. Framework fit describes the strength of that match, not a recommendation to buy, sell, or hold anything, and not a prediction of returns. The full pipeline is on How it works; a complete sample verdict is dissected on Anatomy of a verdict.
WHAT TO ASK
Questions to ask of any AI screener
| Question | RockTurners |
|---|---|
| Where does the evidence come from? | SEC EDGAR primary filings, read per evaluation |
| What does it give you? | A verdict on fit to a published framework |
| Can you see the source behind a finding? | Citations name the filing section they rely on |
| Does it say what is missing? | Named unknowns — enough of them cap the verdict |
| Does it tell you what to do? | No. Verdicts describe framework fit, not what to do |
| What does it not cover? | Listings outside U.S. exchanges, ETFs and funds; the filing read covers the top-ranked companies that pass |
Some screeners cover far more listings, including ETFs, funds and non-U.S. stocks. These are descriptions of how the output is built, not performance claims, so you can decide whether the construction earns your trust. The full case is on Why trust the output.
FAIR QUESTIONS
How is this different from a traditional stock screener?
A traditional screener stops at the numbers: it filters on reported metrics and returns a list. That list is where the real work begins — each name is a long annual report to read. RockTurners' second stage does that reading, with the same framework for every company, and names the filing sections it cites, so you can check them against the filing.
Can AI actually read SEC filings?
Only with discipline. The evaluator is given targeted sections of the filings — its citation vocabulary — and may only cite what it was given. Metrics are pre-computed rather than trusted to the model's memory, and anything the filings don't disclose is marked unknown instead of filled in. When the evidence can't support a confident verdict, the honest output is a lower one.
Is the output investment advice?
No. RockTurners publishes impersonal, general-circulation research: the same methodology, criteria, and scoring applied identically to every company, with no knowledge of who is reading. Verdicts describe how well filings fit a framework. What to do with that reading is between you and a licensed financial professional. More on the FAQ and the disclaimer.