How to verify AI stock research

Start with the actual research controls

In ScalarQuant, open a company and choose See full review to read saved research. Automatic news analysis is disabled. Review a saved result's status and evidence limits before its interpretation.

For source text you have permission to use, Analyze a source you provide opens the document workflow. Keep its source identity and date accurate. Pasting a passage does not make the passage complete or reliable.

The joint SEC, NASAA and FINRA alert on AI and investing warns that AI-generated information can be inaccurate and should not drive decisions on its own. Verification applies even when an answer is polished, confident or source-linked.

Separate four kinds of statements

• Source-reported claim: follow its excerpt and URL. Confirm the original source actually makes the claim, with the same scope and date.
• Supplied financial figure: inspect its measure, unit, period and provenance. It is an input to interpretation, not proof that an event caused a change.
• Model interpretation: ask what reasoning connects the evidence to the explanation, and what competing explanation fits.
• Unknown: retain the missing evidence. An unresolved question should not become zero or a confident conclusion.

Check a material number appearing only in narrative against the source or the explicitly supplied figures. The app's validation does not establish that every sentence or prose number is correct. A successful request or citation badge is not a factual guarantee.

Audit a fictional explanation claim by claim

Imagine a fictional answer says: “Revenue rose 20%, proving AI demand will keep margins rising.” Suppose the supplied full-year revenue values are 100 and 120 million dollars, with the same reporting basis. The arithmetic supports 20% observed revenue growth.

It does not identify the cause, establish future demand or prove rising margins. You would need business or segment evidence for the demand claim, comparable profit figures for the margin claim, and an explicitly uncertain assumption for the future.

A competing explanation might be an acquisition or price increase. If the source excerpt mentions only total revenue, keep the cause unresolved. A better research note is: “Reported revenue grew 20%; the contribution of AI demand and future margin effect remain unverified.” This is an invented illustration, not an actual model result or issuer disclosure.

Finish a claim-level verification checklist

1. Confirm the issuer, security, source date and reporting period.
2. Open the original source, read the cited passage and check its surrounding context.
3. Match material figures to their units and reported or estimated basis.
4. Write the strongest plausible counterargument and the evidence that would resolve it.
5. Keep limited, stale or missing evidence visible in your final note.

Use the filing map for original disclosures and the thesis guide to record revisions. If a source cannot be located or does not support a claim, mark that claim unverified.

To report a problem in a guide, use the correction route below. For an AI research issue, include the company, result date and the source discrepancy in your feedback; omit sensitive account details. Research tools can organize questions without choosing an investment for you.