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.