A-stock-report

This Skill addresses the pain point for A-share investors and quantitative traders of manually writing daily market reports. In practice, traders need quick access to various report types such as morning briefs, closing summaries, evening reports, intraday alerts, IPO weekly reports, and financial weekend editions. Traditional methods are time-consuming and prone to missing key data. This system automates report generation through data-driven processes and includes a built-in 6-dimensional investor sentiment score (out of 100) with AI-powered market outlook, significantly improving information acquisition efficiency.

Usage is straightforward: simply input natural language commands into the AI assistant, such as "Generate today's closing summary" or "Deliver an intraday alert." The system automatically calls data collection scripts (e.g., collect_morning_data.py, collect_evening_data.py), utilizing 12 Python scripts and 3 JSON prompt templates to complete data extraction, report generation, and delivery. It supports cron scheduled tasks for automatic delivery of morning reports, evening reports, weekend editions, and more.

It is well-suited for quantitative traders, data analysts, and content creators who need continuous tracking of the A-share market. Particularly for teams or individuals already using Python for quantitative analysis but lacking automated report generation capabilities. For financial self-media accounts requiring daily market commentary output, it can also significantly reduce manual writing costs.

It is recommended to use this tool after configuring data sources (e.g., tushare, akshare) and delivery channels (e.g., email, DingTalk, WeCom). Note that it primarily relies on the stability of external data APIs; interruptions in data sources may cause report generation failures. Additionally, the sentiment scoring model is trained on historical data and may exhibit biases during extreme market conditions.