StockUp builds Quan, a finance-native AI reasoning system. This page explains who produces the analysis published on this site, how that analysis is generated and checked, which data sources sit underneath it, and — importantly — what the models cannot do.
Content on this site is published under the StockUp Engineering byline. It is written by the team that builds and operates the Quan models — not by an outside content agency, and not auto-published without review. We attribute to the organization rather than to individual analysts because the analysis is a product of the model plus the engineers who build, benchmark, and correct it.
We are a small engineering team, not a registered investment adviser, broker-dealer, or research house. Nobody on the team is a licensed financial adviser, and nothing published here is personalized advice. Where a page presents a rating, a target, or a forecast, it is model output being reported and explained — not a recommendation.
Quan is a finance-specific reasoning system rather than a general chatbot with a finance prompt. The behaviours that matter for accuracy:
For supported requests, market context is verified server-side before the model reasons over it, rather than relying on the model to recall a price.
When a required data point is not available, the intended behaviour is to say so rather than produce a plausible-looking number.
Arithmetic is computed rather than generated, so a figure in an answer is not a token prediction of what the figure ought to look like.
Live web grounding is off by default (googleSearch: false) and billed per executed search when enabled. An answer is not silently searching the web unless asked to.
We publish our own adversarial benchmark results rather than only headline scores: see Why finance AI needs truth boundaries for the methodology behind Quan 3.4's reported 93/100, and Quan vs ChatGPT on a 10-K for a worked filing example with the prompt and recorded outputs. Both are our own internal benchmarks, not third-party audits — treat them as vendor-reported.
Analysis on this site and through the API draws on:
We are not an exchange-licensed market data redistributor, and Quan is not a complete raw market-data feed. Where you need authoritative pricing or an exchange-licensed feed, use a market data vendor.
Stating limits plainly is part of the product:
If you find an error in something we have published — a wrong figure, a misread filing, a stale rating — tell us and we will correct the page and note the correction. Reach us on X, LinkedIn, or Reddit.
Full legal terms: Risk Disclaimer · Terms of Service · Privacy Policy