HK IPO allotment prediction methods and technical notes
Hong Kong IPO data and tool guide
This page explains three technical approaches QizAI explores for Hong Kong IPO allotment prediction, including their scope and limitations. For tool features and access, see the IPO allotment prediction product page.
Three technical approaches
- Manual prediction: human analysis by FAFA Peking University interns following an established methodology
- Expert prediction: the manual method turned into an automated program for efficient, consistent predictions
- AI prediction: a machine-learning model layered on the automated program to optimise predictions, with customisable market financing multiples
Use the tool at the IPO allotment prediction website.
Important notice
These approaches (manual, expert and AI versions) are technical model demonstrations based on specific historical data and public methods, showing only a possible application of QizAI in data processing.
- Nature: predictions cover only the allotment probability of HK IPOs; they imply nothing about post-listing share-price performance.
- Uncertainty: all predictions are model- and historical-data-based and do not guarantee accuracy; actual results may differ materially due to market conditions, subscription multiples and other factors.
- Not investment advice: this demonstration does not constitute investment advice, an offer, a solicitation, or an endorsement of any IPO. Do not rely on this information alone when making investment decisions.
- Risk warning: investing involves risk; IPO share prices may rise or fall and investors may incur losses. Consult an independent licensed adviser before making any investment decision.
This technical demonstration is independent of the regulated licensed services of Panda Securities Company Limited (fafa.hk).