ashare-pre-st-filter

Predict ST or *ST risk warnings for A-share listed companies using financial and regulatory data.

Updated Jul 29, 2026
One-click install
npx skills add https://github.com/santoosaraujo/vibe-trading-claude --skill ashare-pre-st-filter-santoosaraujo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ashare-pre-st-filter
Source: https://github.com/santoosaraujo/vibe-trading-claude/tree/main/.claude/skills/ashare-pre-st-filter
Command: npx skills add https://github.com/santoosaraujo/vibe-trading-claude --skill ashare-pre-st-filter-santoosaraujo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires tushare, akshare, and includes scripts (resource) components.

What problem does it solve?

This skill addresses the uncertainty surrounding A-share market delisting risks by providing a systematic, data-driven framework to predict whether a company will be flagged for special treatment (ST/*ST) in the upcoming fiscal year.

Core Features & Use Cases

  • Multi-Factor Risk Assessment: Evaluates revenue, net profit, net assets, and dividend compliance against specific board-level thresholds.
  • Regulatory Evidence Integration: Incorporates real-time regulatory penalty data from Sina Finance to identify governance and compliance risks.
  • Use Case: Use this skill to analyze a specific stock, such as 000729.SZ, to determine if its current financial trajectory and regulatory history indicate a high probability of being labeled as ST/*ST.

Quick Start

Use the ashare-pre-st-filter skill to perform a comprehensive ST risk analysis for the stock 600000.SH.

Frequently Asked Questions about ashare-pre-st-filter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I predict A-share ST risk for a specific stock using financial data?▼

To predict A-share ST risk, this skill evaluates a company's revenue, net profit, net assets, and dividend compliance against specific board-level thresholds. It integrates financial data from Tushare and Akshare to generate a comprehensive risk report.

What financial factors determine if an A-share company will receive an ST or *ST warning?▼

A-share ST risk prediction relies on multi-factor risk assessment, specifically analyzing revenue, net profit, net assets, and dividend compliance. It also incorporates automated regulatory penalty scraping from Sina Finance to identify governance risks.

Can I use Tushare and Akshare to assess delisting risk across different Chinese stock boards?▼

Yes, you can assess delisting risk using Tushare and Akshare data for companies listed on the Shanghai, Shenzhen, and Science and Technology Innovation boards. The skill applies specific board-level thresholds to evaluate regulatory compliance.

How do I integrate regulatory penalty data into A-share stock risk analysis?▼

You integrate regulatory penalty data into A-share risk analysis through automated scraping of Sina Finance. This skill combines real-time regulatory evidence with multi-source financial data to identify governance and compliance risks for ST prediction.

What is the best way to run a pre-ST filter for Shanghai and Shenzhen listed companies?▼

The best way to run a pre-ST filter is by applying multi-factor analysis to financial performance and regulatory compliance. This skill systematically evaluates board-level thresholds and penalty history to determine the probability of ST or *ST labeling.

Does this A-share risk prediction tool work for the Science and Technology Innovation Board?▼

Yes, this A-share risk prediction tool works for the Science and Technology Innovation Board. It applies specific board-level financial thresholds and regulatory compliance checks to assess ST risk for companies listed across Shanghai, Shenzhen, and STAR boards.