AI stock research reports by Quan 3.5

What is a Quan research report?

How Quan research reports are built: read the Documents guide.

A Quan report is a short research document on one public company. It comes in two forms: a company note, which looks at a company's latest reported period in context, and an earnings review, which focuses on a quarter's results. Most run 2 to 4 pages.

Quan 3.5 builds each report from SEC filings, earnings releases and market data. The financial figures are inserted by code from those sources rather than typed by the model, and the finished PDF is checked before it is delivered. Statements the model writes get a separate verification pass, and each report notes any statement Quan removed because it could not be verified.

Every report ends with its sources: the filing IDs, filing dates and links it used, all dated. It also lists what it could not find or confirm, such as a figure the company does not report or a number that doesn't match between the release and the filing. Those gaps are shown as "Not available" instead of being estimated.

What does a report cost?

Reports are paid for with credits. One credit is one cent, and a 2 to 4 page report costs 150 credits, or $1.50. Quan shows you the cost before it starts writing.

Your first report is free. Create a free StockUp account and verify your email, and we add 150 welcome credits, which covers one full report.

How to read these samples

Each report page has a plain-language summary of the report's figures, Quan's view as the report states it, the sources it lists, and the original pages. The reports were generated on 31 October 2026 and have not been updated since, so newer filings are not reflected.