A-stock-report

This Skill addresses the pain point for A-share investors who manually compile daily reports such as morning briefings, closing summaries, evening reports, intraday alerts, IPO weekly reports, and financial weekend editions. The traditional approach is time-consuming and labor-intensive, lacking quantitative market sentiment indicators, making it difficult to quickly grasp the overall market picture. It features a built-in 6-dimensional investor sentiment score (out of 100) and AI-powered market outlook, ensuring reports are both data-driven and forward-looking.

Usage is straightforward: after installation, simply trigger different report types using natural language commands. The system includes 12 Python scripts and 3 JSON prompt templates, supporting automated generation of morning/closing/evening reports, intraday alerts, weekend editions, and IPO weekly reports. Once configured with data sources and delivery channels (e.g., email, WeCom), it can generate and deliver reports on a scheduled basis automatically, without manual intervention.

It is well-suited for quantitative traders, financial analysts, finance-focused self-media creators, and retail investors who require daily A-share market reports. Particularly for teams or individuals already using Python for quantitative analysis and seeking to automate report generation, it can significantly save daily review time.

It is recommended to use this tool at fixed times such as before market open, after market close, and in the evening. Note that it primarily relies on external data sources (e.g., market APIs like tushare, akshare), requiring users to configure their own data sources and delivery channels. The system requires a Python 3.8+ environment with relevant dependencies installed. The built-in 14-segment consistency guardrails help ensure report quality, but users should still periodically check data source stability.