A-stock-report

This Skill addresses the pain point for A-share investors who manually compile daily morning reports, closing summaries, evening reports, intraday alerts, IPO weekly reports, and financial weekend editions. In practice, investors often need to scrape data such as market quotes, sector performance, and fund flows from multiple sources, then manually write analyses—a time-consuming process prone to missing key indicators. The system features a built-in 6-dimensional investor sentiment score (out of 100) and AI-powered market outlook, combining data-driven insights with intelligent analysis to significantly enhance report generation efficiency.

Usage is straightforward: simply install the Skill via clawhub, then configure data sources (e.g., East Money, Sina Finance) and delivery channels (e.g., email, WeCom, DingTalk). The system automatically executes Python scripts based on cron scheduled tasks to collect data, generate reports, and deliver them. You can also use natural language commands to trigger specific report generation via the AI assistant, such as "Generate today's closing summary."

It is well-suited for quantitative traders, individual investors, financial media creators, and investment research teams who need to regularly produce A-share analysis reports. Particularly for users already employing Python for quantitative analysis but lacking automated reporting capabilities, it integrates seamlessly into existing workflows.

Before first use, it is recommended to configure data sources and delivery channels and test whether cron tasks trigger correctly. Note that the system relies on the stability of external data sources; script adjustments may be needed if data APIs change. The sentiment scoring model is trained on historical data and may exhibit deviations during extreme market conditions, so manual judgment is advised.