Stock Analysis Skill for Openclaw

A comprehensive A-share market intelligence tool for real-time price tracking, automated sector screening, and personalized investment recommendations.

znzgy
v1.0.0
Feb 18, 2026
0
0
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install chaogu

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 chaogu 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 Stock Analysis Skill?

The Stock Analysis skill is a robust data processing extension designed for the Openclaw environment. It leverages the akshare data library to provide developers and investors with live insights into the A-share market. By integrating directly with real-time data sources, it enables users to monitor market trends, analyze sector performance, and receive stock recommendations tailored to specific interests such as technology, semiconductors, and aerospace.

This skill bridges the gap between raw financial data and actionable intelligence. It automates the tedious process of manual market screening, allowing users to define specific criteria for volume ratios and price movements. Whether you are looking for short-term trading opportunities or long-term sector trends, this addition to your Openclaw Skills library streamlines the entire research workflow.

Stock Analysis Skill Use Cases

  • Running real-time market snapshots to identify the top 10 gainers and high-volume stocks.
  • Generating automated morning reports at 09:30 to prepare for the trading day.
  • Filtering the market for specific technical setups, such as stocks with a volume ratio greater than 1.5 and moderate price growth.
  • Setting up hourly automated analysis during trading sessions to stay updated on sector rotations.

How Stock Analysis Skill Works

  1. The user or a scheduled trigger executes one of the specialized Python scripts within the skill directory.
  2. The skill connects to the akshare API to fetch the latest market data for all A-share stocks.
  3. The system applies a multi-tier filtering logic based on the user's hardcoded preferences and risk tolerance.
  4. Analyzed results, including sector averages and specific stock tickers, are formatted into a readable report.
  5. The output is delivered via the Openclaw interface or stored for later review.

Stock Analysis Skill Setup

To utilize this skill, you must ensure the Python environment is configured with the required data library. Run the following command in your terminal:

pip install akshare

Once the dependency is installed, place the skill folder in your local directory:

~/.openclaw/skills/stock-analysis/

You can then customize your investment preferences by editing the stock_recommend.py file to include your target sectors and risk parameters.

Stock Analysis Skill Data Schema & Taxonomy

The skill organizes market data and user preferences using a structured approach to ensure high-speed analysis:

Component Format Description
Market Data Pandas DataFrame Real-time spot data including price, volume, and turnover from akshare.
Preferences Python Dictionary Stores sector whitelists (e.g., Tech, Liquor) and risk levels.
Reports Markdown/Console Formatted summaries of sector performance and recommended tickers.
Automation Cron Expression Openclaw Skills configuration for scheduling recurring tasks.

Stock Analysis Skill Advanced Features

  • Scheduled market monitoring using the Openclaw Skills cron management system for hands-free analysis.
  • Custom technical screening logic that supports complex multi-indicator filters (e.g., combining Volume Ratio with P/E ratios).
  • Multi-script architecture allowing for distinct workflows like quick snapshots, morning reports, or deep-dive recommendations.
  • Event-driven investment logic focused on mid-to-short term market triggers and sector-specific momentum.

SKILL.md


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