A professional-grade quantitative signaling and thematic identification system for the A-share market.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install a-stock-digest
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install a-stock-digest 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-Share Hotspot Identification System?
The A-Share Hotspot Identification System is a specialized tool within the Openclaw Skills ecosystem designed for investors and quantitative analysts. It leverages automated RSS feeds from premium financial sources to perform multi-dimensional signal scoring and thematic classification. By analyzing catalyst strength, time sensitivity, and funding evidence, the system helps users cut through market noise to identify high-probability trading opportunities.
This skill transforms raw market data into actionable intelligence. It automatically categorizes news into 15+ core themes such as AI computing, low-altitude economy, and semiconductor sectors, ensuring that traders stay informed about sector rotations and emerging market trends without manual searching.
A-Share Hotspot Identification System Use Cases
- Daily pre-market briefing and observation pool generation.
- Real-time intraday alerting for high-scoring stock signals (score ≥ 75).
- Automated post-market review and hit-rate analysis for strategy refinement.
- Tracking thematic rotations across 15+ specific A-share industry sectors.
How A-Share Hotspot Identification System Works
- Data Acquisition: The system fetches real-time financial news via RSS feeds (e.g., Investing.com) using a dedicated feed CLI.
- Quantitative Scoring: Each news item is processed through a scoring model (0-100) based on catalyst strength, timing, capital flow, and sentiment consistency.
- Thematic Identification: Natural language processing classifies signals into specific industry themes like New Energy Vehicles or Humanoid Robots.
- Threshold Filtering: Signals are routed based on scores: high-priority alerts for scores ≥75, and pre-market briefs for scores 60-74.
- Output Distribution: Reports are generated and stored locally or pushed to collaborative platforms like Feishu.
A-Share Hotspot Identification System Setup
To install and initialize this Openclaw Skills component, follow these steps:
# Navigate to the workspace and set up the environment
cd ~/.openclaw/workspace/lib/a-stock-digest
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
# Manual generation of pre-market brief
python3 commands/candidate_pool_feishu.py
# View the generated report for today
cat ~/a-digest/brief/pre_$(date +%Y%m%d).md
A-Share Hotspot Identification System Data Schema & Taxonomy
The system maintains a structured local filesystem for historical analysis and de-duplication within the Openclaw Skills environment:
| Directory | Content Description |
|---|---|
~/a-digest/raw/ |
Stores unprocessed raw financial data and RSS feeds. |
~/a-digest/seen/ |
Tracking file IDs to prevent duplicate signal processing. |
~/a-digest/brief/ |
Daily pre-market summary reports. |
~/a-digest/alerts/ |
High-priority intraday warning logs. |
~/a-digest/review/ |
Post-market analysis and strategy performance data. |
A-Share Hotspot Identification System Advanced Features
- Multi-dimensional scoring matrix: Catalyst Strength (40%), Time Sensitivity (20%), Funding Evidence (25%), and Sentiment Consistency (15%).
- Automated Cron integration for hands-free reporting at 08:00 (Pre-market) and 15:20 (Post-market).
- Support for 15+ industry themes including AI, Optical Communication, and Mergers & Reorganizations.
- Integration with external messaging hooks for real-time mobile alerts.
SKILL.md
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