Hong Kong IPO research that is clearer and easier to verify
HK IPO AI is a research tool focused on Hong Kong listings. We organize fragmented public information into a format that is easier to read and compare, then use model estimates, AI reference scores, and historical comparisons to help readers understand each IPO.
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Built on public information
Content is primarily compiled from prospectuses, company announcements, exchange filings, and other verifiable public sources. Data is updated as each IPO progresses, but source delays, revisions, or parsing issues can still create gaps.
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Models assist; they do not decide
Models and AI help organize information, estimate allotment scenarios, and produce reference scores. They provide a consistent comparison framework, not a certain outcome or an instruction to subscribe, buy, or sell.
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Human-checked and actively maintained
Key data, page presentation, and model outputs are subject to human checks and ongoing maintenance. We correct errors and anomalies we find, but human review is not a guarantee that every item is complete or error-free at all times.
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Judged against outcomes
We preserve pre-listing calls and compare them with subsequent grey-market and listing outcomes. Backtests show how the approach performed and where it fell short in historical samples; they do not promise future accuracy or returns.
How Free + Pro works
Core IPO information and one-lot win rates for active offerings remain free. Pro subscriptions support data compilation, human checks, model computation, and product maintenance while unlocking deeper allotment scenarios. Payment changes access, not the model score or research conclusion for any IPO.
What we are not
HK IPO AI is not a broker, trading venue, or licensed investment adviser. We do not accept trading instructions or give personalized investment advice based on an individual's finances. Investing involves risk; verify official documents and make an independent assessment before acting.
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Review past calls, learn how the metrics should be read, or report a data issue to us.