A-Stock Analysis Lite for Openclaw

A professional-grade AI tool for generating comprehensive Chinese A-share stock analysis reports with automated data sourcing and scenario modeling.

bill-lib
v1.0.1
Apr 15, 2026
2
2k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install a-stock-analysis-lite

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 a-stock-analysis-lite 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 A-Stock Analysis Lite?

A-Stock Analysis Lite is a specialized tool designed to transform raw market data into professional investment strategy reports. By simply providing a 6-digit stock code or company name, the skill initiates a rigorous data collection and analysis pipeline tailored specifically for the Chinese equity market.

This skill goes beyond basic price tracking by incorporating multi-dimensional checks, including ST risk assessment, industry leader valuation, and distressed reversal analysis. It leverages the Openclaw Skills framework to ensure high-fidelity reporting that mirrors the output of professional equity researchers, complete with seven distinct chapters ranging from core investment thesis to risk disclosures.

A-Stock Analysis Lite Use Cases

  • Creating in-depth individual stock analysis reports for Chinese A-share companies.
  • Evaluating risk factors for ST and *ST stocks to determine restructuring or delisting probabilities.
  • Tracking trending stocks with heavy price volatility using dragon-tiger list (Longhubang) data.
  • Performing bottom-fishing analysis for undervalued companies with high dividend yields.
  • Generating professional HTML/PDF reports for industry leaders or concept-driven market plays.

How A-Stock Analysis Lite Works

  1. Initial Classification: The skill identifies the stock type (ST, high-momentum, undervalued, or standard) to determine the specific data collection path.
  2. Data Acquisition: It executes concurrent data fetching across sources A through H, including fundamental indicators, technical signals, and recent corporate announcements.
  3. Data Consolidation: Raw information is mapped into a standardized internal data table covering valuation, financial reports, and technical RSI levels.
  4. Hexagonal Analysis: An LLM processes the data through six analytical dimensions: market structure, data pivot, scenario simulation, and more.
  5. Report Generation: The final output is rendered using a professional HTML template, undergoing a quality check before delivery.

A-Stock Analysis Lite Setup

To deploy this skill within your environment, ensure you have the Openclaw Skills core installed and configure your data source references.

# Example of triggering the analysis via CLI
openclaw run a-stock-analysis-lite --code "600519"

Ensure that the references/ directory containing data-sources.md and analysis-prompts.md is accessible in your skill path.

A-Stock Analysis Lite Data Schema & Taxonomy

The skill utilizes a structured internal data table to organize metadata before final report rendering:

Category Key Fields
Market Data Price, Change %, 52-Week High/Low, Market Cap, Turnover Rate
Valuation PE-TTM, PB, EV/EBITDA, Dividend Yield, ROE
Financials Revenue Growth, Net Profit, Debt Ratio, Financial Expenses
Events Major Announcements (Last 3 Months), Shareholder Changes

A-Stock Analysis Lite Advanced Features

  • Smart Timeout Handling: Automatically switches to backup search terms if a data source fails to respond within 30 seconds.
  • Stock-Specific Logic: Context-aware analysis parameters that change based on whether a stock is a high-growth play or a turnaround candidate.
  • Parallel Data Fetching: Concurrent execution of data source queries (A+C) to minimize report generation latency.
  • Quality Assurance Integration: Built-in checklist verification to ensure report accuracy and formatting consistency.

SKILL.md


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