ashare-pre-st-filter

Forecasts next-year ST risk for A-share stocks using Sina penalty data and earnings signals.

Updated May 15, 2026
One-click install
npx skills add https://github.com/philipcoller-777/Vibe-Trading-TV2 --skill ashare-pre-st-filter-philipcoller-777
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ashare-pre-st-filter
Source: https://github.com/philipcoller-777/Vibe-Trading-TV2/tree/main/agent/src/skills/ashare-pre-st-filter
Command: npx skills add https://github.com/philipcoller-777/Vibe-Trading-TV2 --skill ashare-pre-st-filter-philipcoller-777

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides a structured, data-driven framework to forecast whether an A-share stock will face ST/*ST risk in the next financial year by integrating recent earnings signals and regulatory penalty evidence.

Core Features & Use Cases

  • Forecast ST risk for A-share issuers using latest quarterly/annual results, earnings guidance, and penalties.
  • Evidence-driven scoring combines earnings results (revenue, profit, and扣非) with penalties from Sina to adjust risk levels.
  • Use Case: Given a ticker like 000001.SZ, generate a forward-looking risk assessment with actionable red-line indicators and supporting sources.

Quick Start

Provide a stock TS code (e.g., 000001.SZ) to obtain an ST risk forecast for the next year, along with the evidence used.

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 ticker?

To predict A-share ST risk, provide a stock TS code like 000001.SZ to generate a forward-looking risk assessment. The workflow fuses recent earnings signals and Sina penalty data to forecast next-year ST risk with supporting evidence.

What financial data is needed to forecast ST risk for Shanghai and Shenzhen listed companies?

Forecasting ST risk requires latest quarterly or annual earnings results, earnings guidance, and regulatory penalty data. The workflow combines revenue, profit, and扣非 (non-recurring adjusted) figures with Sina penalty records to adjust risk levels.

Can I use this ST risk prediction tool for any stock on the Shanghai and Shenzhen exchanges?

Yes, the ST risk prediction workflow applies to listed companies on both the Shanghai and Shenzhen exchanges. It produces a dual-axis risk forecast using earnings signals and regulatory penalty evidence for any valid A-share ticker.

How does the earnings and penalty evidence synthesis adjust A-share ST risk levels?

The evidence-driven scoring mechanism fuses earnings results with Sina penalty data to adjust ST risk levels. It synthesizes revenue, profit, and扣非 metrics alongside regulatory penalties to produce a dual-axis risk forecast with actionable red-line indicators.

What is the best way to assess next-year ST risk for A-share issuers?

The best way to assess next-year ST risk is using a structured, data-driven workflow that integrates earnings signals and regulatory penalty evidence. This approach generates forward-looking risk assessments with actionable red-line indicators and supporting sources.

Does the ST risk forecast output include supporting evidence and sources?

Yes, the ST risk forecast output includes supporting evidence and sources used in the assessment. It provides a structured, dual-axis risk forecast with actionable red-line indicators based on earnings results and Sina penalty data.