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A-stock-report

A-Share Report Auto-Generation and Push System

Install & Use

Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:

Help me install this AI Skill: A-stock-report.
It is used for: A-Share Report Auto-Generation and Push System
Full Skill content: https://321skill.com/skills/a-stock-report-x-5/raw/index.md
Read that page and install it.

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This Skill addresses the pain point for A-share investors who require multiple data-driven reports daily (morning brief, closing summary, evening report, intraday alerts, IPO weekly report, financial weekend edition). Manually compiling market data, sentiment indicators, and key news is time-consuming and prone to omissions, especially as intraday alerts and sentiment scoring require real-time calculations that are difficult to sustain manually.

Usage is straightforward: simply state the report type in the AI conversation (e.g., "generate today's closing summary"). The system will automatically collect A-share market data, calculate a 6-dimension investor sentiment score (out of 100), and invoke AI to generate a market outlook. You can then trigger different reports via natural language commands; the system will render them according to preset templates and push them to specified channels.

It is well-suited for quantitative traders, financial self-media creators, individual investors, and investment research teams who need daily market briefings. Particularly for users already relying on platforms like East Money or Tonghuashun but seeking more customized reports with sentiment analysis and AI outlooks, it can significantly save daily review time.

It is recommended to use this tool at fixed times daily (e.g., after market close, before market open) to generate reports in batch. Note that it primarily relies on external data sources (e.g., real-time A-share market data); network interruptions or data source changes may cause report delays. Additionally, the sentiment scoring model is trained on historical data and may have significant deviations during extreme market conditions, requiring manual judgment.

Key Features

Compared to East Money's automated research reports, it supports more granular report types (morning brief/closing summary/evening report/intraday alerts/IPO weekly report/financial weekend edition) and includes a built-in 6-dimension investor sentiment score and AI market outlook, providing more comprehensive market analysis. In contrast, Tonghuashun's smart writing only generates basic news and lacks a quantitative sentiment module.

Limitations

Relies on external A-share data sources (e.g., tushare, akshare) and requires network connectivity. Version 3.5.4 requires a Python 3.8+ environment and dependencies such as pandas and requests. The sentiment scoring model may have significant deviations during extreme market conditions.

FAQ

How do I install this Skill?

Install via clawhub: `clawhub install a-stock-report`, or directly git clone the repository and run the script. Requires Python 3.8+ and dependency libraries.

What report types are supported?

Supports 6 report types: morning brief, closing summary, evening report, intraday alerts, IPO weekly report, and financial weekend edition.

Installation guide for AI assistants

If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:

Visit https://321skill.com/skills/a-stock-report-x-5/raw/index.md to read the original Skill definition (Markdown format) for A-stock-report, and install it according to the instructions.