hk-ipo-research-assistant_skill

This skill helps you analyze Hong Kong IPOs by aggregating margin, cornerstone, ratings, and allotment data for AI-driven decisions.
  • Python

2.5k

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

3 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill hk-ipo-research-assistant

  • _meta.json302 B
  • SKILL.md6.0 KB

Overview

This skill is a Hong Kong IPO research assistant focused on new listings (hk-ipo-research-assistant). It fetches real-time indicators — margin financing, cornerstone investors, institutional ratings, grey market, A+H discount, and allotment rates — to support AI-driven analysis. Data comes from public third-party sources and is not investment advice.

How this skill works

The tool scrapes multiple public sources and AiPO endpoints to consolidate IPO data for each ticker: margin details across brokers, cornerstone allocations and lock-up, analyst ratings, grey-market quotes and trades, A+H comparisons, and allotment/oversubscription forecasts. You run commands to get overviews, one-click analyses, or granular reports (margin-detail, cornerstone, rating-detail, grey-prices, odds). Outputs are JSON by default or formatted tables/text for quick reading.

When to use it

  • When evaluating whether to subscribe for a Hong Kong IPO
  • To estimate personal allotment probability and plan subscription size
  • To assess market sentiment via grey market and HSI performance
  • To review sponsor/bookrunner historical win-rate and first-day performance
  • When comparing valuation (PE) and A+H discount for risk assessment

Best practices

  • Run overview and calendar to see active IPOs and deadlines before deciding
  • Use analyze <ticker> to aggregate margin, cornerstone, rating and sponsor history in one view
  • Load or create a user profile (capital, risk, margin usage, broker) to get personalized suggestions
  • Check margin-detail and oversubscription forecast before using the odds command to plan how many lots to bid
  • Treat scraped public data as inputs — combine with your own risk rules and position sizing

Example use cases

  • Quickly list current Hong Kong IPOs and upcoming deadlines with overview and calendar
  • One-command deep dive: python3 scripts/hkipo.py analyze 02692 aggregates key signals for a buy/avoid decision
  • Estimate hit rates: use margin-detail and odds --oversub to produce a per-group allotment probability table
  • Check cornerstone investor quality and lock-up schedule to assess post-listing float pressure
  • Compare A+H valuation and PE to identify safety margin before subscribing

FAQ

No. It gathers public data to support analysis but does not give investment advice; users must make their own decisions.

Which markets are supported?

Only Hong Kong IPOs. It is not designed for A-share IPOs, US IPOs, or fund subscriptions.

How do I personalize recommendations?

Run the profile command to create scripts/config/user-profile.yaml with capital, risk, margin preference and broker; the skill then tailors outputs.

Built by
VeilStrat
AI signals for GTM teams
© 2026 VeilStrat. All rights reserved.All systems operational