A-stock-report
A-Share Report Auto-Generation and Delivery 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 Delivery System Full Skill content: https://321skill.com/skills/a-stock-report-x-10/raw/index.md Read that page and install it.
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This Skill addresses the time-consuming and error-prone process for A-share investors of manually compiling reports such as morning briefs, closing summaries, evening reports, intraday alerts, IPO weekly reports, and financial weekend editions. In practical investing, users require timely, data-driven market analysis but often lack automated tools to integrate market data, sentiment, and outlook information.
Usage is straightforward: simply install the Skill via clawhub, configure your data sources (e.g., East Money API) and delivery channels (e.g., email, DingTalk). You can then trigger the generation of different reports using natural language commands. The system will automatically collect data, perform a 6-dimensional investor sentiment scoring (out of 100), generate an AI-powered market outlook, and finally deliver the report to the specified channel.
It is well-suited for quantitative traders, financial self-media creators, securities research teams, and individual investors who require high-frequency access to market reports. Particularly for teams with existing data infrastructure but lacking automated report generation capabilities, it can significantly enhance information acquisition efficiency.
It is recommended to use this tool at fixed times such as before the market opens, after the close, and in the evening. Note that it relies on external data sources and network connectivity; ensure your data APIs are stable. The sentiment scoring model is based on historical data and is for reference only, not constituting investment advice.
Key Features
Unlike the automated reporting features on platforms like JoinQuant and RiceQuant, A-stock-report incorporates a built-in 6-dimensional investor sentiment score and AI-powered market outlook. It also supports a more comprehensive range of report types—including morning briefs, closing summaries, evening reports, intraday alerts, IPO weekly reports, and financial weekend editions—covering full-day needs from pre-market to post-market.
Limitations
Requires Python 3.8+ environment and configuration of external data source API keys (e.g., East Money, Tonghuashun). Report generation quality is affected by the real-time availability of data sources and model accuracy.
FAQ
How do I configure data sources?
Enter the data source API keys in `scripts/references/config.json`. Common interfaces like East Money and Tonghuashun are supported.
Which delivery channels are supported for reports?
Channels such as email, DingTalk, and WeCom/Enterprise WeChat are supported. You need to set the delivery target address in the configuration.
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-10/raw/index.md to read the original Skill definition (Markdown format) for A-stock-report, and install it according to the instructions.
Raw Markdown URL for AI: /skills/a-stock-report-x-10/raw/index.md