Fair questions, straight answers

No. RockTurners publishes impersonal, general-circulation research: the same methodology, criteria, and scoring applied identically to every company. It knows nothing about you, and its verdicts describe methodology fit — never an action to take. Consult a licensed financial professional before making investment decisions.

Action calls are advice, and advice depends on knowing the person receiving it. RockTurners publishes the same research to everyone, so its output stops at what the filings show: how well a company fits a published framework. What to do with that reading depends on circumstances only you — and a licensed professional — know.

Because that's the honest claim. A scan doesn't discover whether a company is good — it measures how well the filings match one framework's specific criteria. The same company can be a strong match to a dividend discipline and no match to a deep-value screen; both verdicts are correct, and neither is a statement about what happens next.

Gemstone: a strong match — the filings support the framework's criteria. Geode: a partial match — some criteria hold, others can't be verified from the filings. Sediment: no match — the criteria aren't met, kept as a turned-over stone for the record. All three describe framework fit, never an action.

No — by design. The same filings produce the same output for every reader, and nothing about who you are is an input. Impersonal, general-circulation research is what keeps this publishing rather than advice.

Primary sources: SEC EDGAR filings — annual and quarterly reports, event disclosures, and insider forms — plus financial metrics computed from company facts. Every factual claim in a verdict cites the specific form, section, and date it came from, so you can read the source yourself.

A fixed discipline expressed in two stages: a quantitative screen that narrows the universe, and an evaluation rubric the AI applies to the survivors’ filings. Thirteen are built in, each in the tradition of published investing research across value, growth, quality, income, and event-driven lenses.

Yes. The Strategy Lab lets you fork any built-in strategy into your own copy and edit its screening criteria — thresholds, metrics, universe scope. Derived strategies run through the same pipeline with the same EDGAR grounding, citations, and honest unknowns as the built-ins.

That dimension is marked unknown — never inferred, never filled in from the model’s memory — and enough unknowns cap the verdict. An honest gap beats a confident fabrication; the unknowns list on each verdict shows exactly what could not be verified.

U.S. operating companies filing with the SEC on approved exchanges (Nasdaq, NYSE, NYSE American) — roughly 4,000 names after excluding funds, trusts, and blank-check entities. A strategy’s own criteria can narrow that universe further.

Each verdict names the filings it read — form, section, and date — so its vintage is always visible. When newer filings arrive, a re-run produces a fresh, fully cited verdict against them; nothing is silently rewritten.

Subscription pricing is announced at launch. Independent of the plan, every scan shows its estimated processing cost before it runs and reports what it actually spent — cost transparency is part of the product.