ST Stock Analyst for Openclaw

A professional AI analyst skill specializing in the high-stakes world of ST and *ST stocks, focusing on financial reversals and corporate restructuring.

chris3cano-ship-it
v1.0.0
Mar 13, 2026
0
1.1k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install st-stock-analyst

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install st-stock-analyst using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is ST Stock Analyst?

The ST Stock Analyst is a sophisticated tool designed for investors navigating the complex landscape of Special Treatment (ST) and *ST stocks. It functions as a senior research analyst that identifies potential opportunities through the lens of distress turnarounds. By integrating multi-platform data verification with deep fundamental and technical analysis, this skill helps users distinguish between companies merely surviving and those with genuine restructuring value.

Built to operate within the Openclaw Skills ecosystem, the analyst focuses on four critical dimensions: financial reversal authenticity, restructuring progress, technical game theory, and market sentiment. It ensures high data integrity by cross-referencing information from major financial platforms like East Money and Tonghuashun, providing a rigorous framework for high-risk, high-reward stock evaluation.

ST Stock Analyst Use Cases

  • Identifying undervalued ST stocks with high potential for successful corporate restructuring.
  • Verifying the authenticity of financial revenue and profit improvements to avoid delisting traps.
  • Monitoring the progress of court-ordered reorganizations and strategic investor injections.
  • Executing technical analysis on stocks near the 1-yuan delisting red line.
  • Generating comprehensive PDF research reports for professional investment archiving.

How ST Stock Analyst Works

  1. The agent initiates multi-platform data collection, pulling real-time information from at least two professional financial websites.
  2. It performs cross-validation to resolve data discrepancies and marks the sources for transparency.
  3. A systematic five-part analysis is conducted: Financial Reversal, Restructuring Progress, Technical Analysis, Sentiment Analysis, and Comprehensive Rating.
  4. The skill evaluates risk boundaries, including delisting risks and liquidity exhaustion.
  5. Finally, it formats the findings into a professional report and exports a timestamped PDF to a designated local directory.

ST Stock Analyst Setup

To integrate this skill into your agent, ensure you have access to browser-based tools for data fetching. Use the following structure to initialize your environment:

# Ensure Openclaw Skills environment is active
# The skill requires local write permissions for PDF generation
mkdir -p "D:\Downloads\"

Configure your agent to utilize web_search and browser tools specifically targeting financial domains like eastmoney.com and 10jqka.com.cn.

ST Stock Analyst Data Schema & Taxonomy

The skill organizes its analytical output into a structured report following this taxonomy:

Section Data Points Evaluated
Financials Revenue vs. Delisting Thresholds, Net Asset Recovery Path, Cash Flow Matching
Restructuring Court Status, Strategic Investor Quality, Debt Reduction Ratio
Technical Moving Averages (MA60/120), Bottom Patterns, Volume-Price Synergy
Sentiment Shareholder Concentration, Dragon-Tiger List (Longhu Bang) Activity
Rating Strong Follow, Cautious Follow, Neutral, or Risk Avoidance

ST Stock Analyst Advanced Features

  • Multi-platform cross-validation logic to ensure 100% data reliability in the Openclaw Skills environment.
  • Automated technical indicator detection including MACD/RSI bottom divergence and KDJ oversold signals.
  • Dynamic price range projection based on historical support and event-driven triggers.
  • Automated PDF report generation with standardized naming conventions for portfolio management.
  • Behavioral bias observation to detect irrational panic-selling or herd-effect buying.

SKILL.md


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