Hong Kong IPO Analysis
Currently-subscribing HK IPOs ranked by subscription-close date, each with fundamentals, margin heat, and a transparent six-dimension composite score. Reference only — never a buy or sell call.
Currently-subscribing HK IPOs ranked by subscription-close date, each with fundamentals, margin heat, and a transparent six-dimension composite score. Reference only — never a buy or sell call.
Quick summary
This page lists currently-subscribing Hong Kong IPOs sorted by subscription-close date. Each IPO shows fundamentals (offer price, entry fee, sponsor, cornerstone), the margin oversubscription ratio, and a 0–100 composite score built from six public-data dimensions with fixed weights. Scores are a transparent heuristic aggregation, refreshed daily around noon HKT, and are explicitly not investment advice.
The composite score is a weighted average of six dimensions, each scored 0–100 from public data. We publish the exact weights so the number is reproducible rather than a black box. The composite is not a rank, a rating, or a recommendation — it is a summary of signals you can inspect dimension by dimension in each expanded card.
Margin heat (30%) reads the disclosed broker margin oversubscription — high demand often maps to a higher grey-market premium probability. Sponsor track record (20%) reflects the historical first-day performance of the lead sponsor. Industry theme (20%) rewards strong cornerstones and in-favour sectors. Market sentiment (15%) aggregates public community discussion. Entry friendliness (10%) favours a low entry fee and a generous clawback. IPO environment (5%) looks at the recent Hang Seng trend and the recent first-day win rate. Fragile inputs degrade gracefully: when community data is missing, that dimension falls back to neutral and the community block is hidden rather than fabricated.
The calendar answers "when"; this page answers "how the signals stack up". Use them together.
Enter lots applied and expected oversubscription to get Pool A and Pool B winning probabilities.
Historical win rates to calibrate your grey market exit strategy.
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