hk-ipo-research-assistant港股 IPO 打新研究助手。抓取实时数据(孖展、基石、评级、暗盘、A+H折价、中签率),供 AI 分析判断。 触发词:港股打新、新股分析、IPO、孖展、保荐人、暗盘、中签率、基石投资者。 不适用:A 股打新、美股 IPO、基金申购。
Install via ClawdBot CLI:
clawdbot install marvae/hk-ipo-research-assistantGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://aipo.myiqdii.comAudited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
Retail investors in Hong Kong seeking to participate in IPO subscriptions ("打新") by analyzing real-time data like margin financing, cornerstone investors, and ratings to make informed decisions on which new stocks to apply for, especially focusing on market heat and allotment odds.
Professionals in financial institutions or advisory roles who need to quickly gather and synthesize IPO data for client reports or internal research, using commands like analyze, sponsor rankings, and historical performance to assess investment opportunities and risks.
Fintech companies or brokerage firms integrating this skill into their platforms to provide automated IPO research tools for users, leveraging data aggregation from sources like AiPO and Jisilu to enhance user engagement and decision-making support.
Researchers studying IPO markets, who use historical data commands (e.g., jisilu list, summary) to analyze trends, performance statistics, and factors like sponsor success rates for academic papers or market analysis.
Teams within investment firms assessing IPO risks by evaluating market sentiment, grey market data, and A+H discounts to gauge potential volatility and safety margins before allocating funds.
Offer this skill as a paid API or data service to financial platforms, brokers, or individual investors, providing real-time and historical IPO data with premium features like advanced analytics and fallback data sources for reliability.
Provide a free basic version with limited data (e.g., overview and calendar) and charge for advanced features such as detailed analysis, sentiment tools, and user profile integration, targeting individual investors looking to optimize their IPO strategies.
License the skill as a customizable module for brokerage firms to embed into their trading apps, enhancing their value proposition with IPO research capabilities and driving user retention through integrated tools.
💬 Integration Tip
Ensure Python 3.10+ is installed and dependencies are managed via requirements.txt; use the profile command to personalize data output based on user capital and risk preferences.
Scored Apr 19, 2026
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