HK IPO Surge Hunter
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About this skill
What It Solves
For HK IPO and recent-listing screening, the hard part is not spotting labels like oversubscription or first-stock status, but separating signals that map to future upside from marketing noise. This skill frames the problem in one measurable way: whether the current price still has at least 50% upside from the issue price. It covers two cases: un-doubled IPOs, where the focus is on the probability of reaching 2x the issue price, and already-doubled names, where the focus shifts to whether another 50% move is still reasonable. The output is not a raw watchlist, but a ranked score and attribution report under a single perspective.
How It Works
The skill is organized around three workflows: V7 IPO scoring, second-surge evaluation, and unified screening.
- Data collection: It pulls prospectus details, placement results, sector attributes,
VC/PEsupport, cornerstone investors,18Astatus, R&D, and revenue growth signals; issue price and real-time price are cross-checked against multiple sources to reduce conclusion drift from bad inputs. - Scoring: Undoubled names use the
V7model, built from17scoring factors and5interaction factors. Already-doubled names switch to thesecond-surgemodel, which evaluates sector momentum, earnings realization, institutional coverage, catalyst pipeline, and valuation headroom. - Reporting: It can generate single-name scores, multi-name comparisons, pre-listing estimates, post-placement reviews, and post-listing attribution. The report logic also constrains headline selection, preferring high-signal factors instead of packaging weak indicators as the main selling point.
Boundaries
This is best treated as a research and screening framework, not a trading instruction. The sample is based on 2025-2026 HK IPOs, and some factors are sensitive to the AI-led market cycle; in weaker or rotating sectors, weights and conclusions may need review. Score quality also depends on external data, especially issue price, first-day move, and real-time quotes. Before acting on any result, treat the report as factor decomposition and risk flagging, not as a final buy, sell, or add-position decision.
Use Cases
- Screen several HK IPO prospectuses before allocation to compare sectors, VC support, and 18A factors.
- Review post-placement HK IPOs using oversubscription, cornerstone investors, and first-day data.
- Assess whether an already-doubled HK listing still has 50%+ upside based on sector and earnings.
- Build a post-listing review with first-day move, Connect expectations, and factor attribution.
Best For
- Retail investors focused on HK IPOs who want a shortlist before subscription.
- Sell-side analysts covering HK IPOs who need structured prospectus and placement scoring.
- Buy-side analysts trading HK second-new stocks who want to size up follow-on upside.
- Risk managers reviewing IPO books who need consistent data checks and factor attribution.
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