ashare-pre-st-filter

Forecast next fiscal year ST/*ST risk for A-share stocks using tushare and akshare data.

Updated May 5, 2026
One-click install
npx skills add https://github.com/wudye/traderAssistHK --skill ashare-pre-st-filter-wudye
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ashare-pre-st-filter
Source: https://github.com/wudye/traderAssistHK/tree/main/backend/src/skills/ashare-pre-st-filter
Command: npx skills add https://github.com/wudye/traderAssistHK --skill ashare-pre-st-filter-wudye

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, urllib, html.parser, and includes scripts (resource) components.

What problem does it solve?

This Skill helps you forecast whether an A-share stock is likely to be flagged as ST/*ST in the next fiscal year by combining financial red-lines, upcoming disclosure evidence, and independent governance evidence from Sina regulatory penalties.

Core Features & Use Cases

  • ST/*ST risk forecasting (A-share only): Produces dual-axis outputs for the next fiscal year risk level and prediction confidence, using the required data order (tushare first, akshare as fallback).
  • Governance evidence from regulatory penalties (E2): Fetches Sina penalty records via the provided script and integrates them as an independent evidence layer that can raise risk without changing prediction confidence.
  • Structured compliance-grade guardrails: Enforces explicit use of “扣非净利润” logic, dividend deduplication, audit fact treatment (no prediction), no mechanical annualization, and strict board-specific thresholds.

Quick Start

Tell the assistant: Analyze 000729.SZ next year’s ST/*ST risk using tushare first with akshare fallback, and include Sina regulatory penalty evidence for the last fiscal year and past 12 months.

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 next-year ST/*ST risk for A-share stocks?

To predict next-year ST/*ST risk for A-share stocks, you need to evaluate revenue, profit, equity, and dividends against board-specific thresholds alongside Sina regulatory penalty records. This Skill forecasts risk levels and confidence by integrating financial red-lines with governance evidence using tushare and akshare data.

How do regulatory penalties affect ST/*ST risk prediction?

Regulatory penalties from Sina records act as an independent governance evidence layer that can raise the ST/*ST risk level without altering prediction confidence. This Skill applies penalty subject-weighting and dual-window frequency rules to integrate governance data into the final risk forecast.

Can I use akshare to forecast ST/*ST risk if tushare is unavailable?

You can use akshare as a fallback data source to forecast ST/*ST risk if tushare is unavailable. This Skill requires a structured evidence hierarchy using tushare as the primary source and akshare as the secondary fallback to ensure data continuity for A-share stock analysis.

What's the best way to analyze A-share ST risk with financial red-lines and governance evidence?

The best way to analyze A-share ST risk is by combining financial red-lines with independent Sina governance evidence within strict compliance guardrails. This Skill evaluates financial thresholds and regulatory penalties, treating audit data as a factual layer without mechanical annualization to produce dual-axis risk and confidence outputs.