A-stock-report
A-Share Data-Driven Automated Report Generation and Delivery System
Install & Use
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Help me install this AI Skill: A-stock-report. It is used for: A-Share Data-Driven Automated Report Generation and Delivery System Full Skill content: https://321skill.com/skills/a-stock-report-x-2/raw/index.md Read that page and install it.
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This Skill addresses the pain point for A-share investors and financial professionals who manually compile multi-dimensional market reports. In daily work, tracking market trends, sector rotations, individual stock movements, IPO updates, etc., is required. Manually collecting data is time-consuming and prone to missing critical information, especially for intraday alerts and closing summaries where timeliness is crucial.
Usage is straightforward: after installation, simply use natural language commands (e.g., "Generate today's morning report") or configure scheduled tasks. The system will automatically gather data such as market quotes, capital flows, and news from multiple sources, utilize built-in templates to generate structured reports, and deliver them to specified channels (e.g., Feishu, DingTalk, email). Report types include morning reports, closing summaries, evening reports, intraday alerts, IPO weekly reports, and financial weekend editions. It also features a built-in 6-dimension investor sentiment score (out of 100) and AI-powered market outlook.
It is particularly suitable for quantitative traders, data analysts, and financial content creators who need to frequently monitor the A-share market. Especially for teams already using automated workflows for investment research, it can significantly reduce the time spent on manual report compilation, allowing focus on strategy analysis and decision-making.
It is recommended to use with scheduled tasks at fixed times such as before market open, midday, and after market close to ensure continuous access to the latest data. Note that it primarily relies on public data sources (e.g., Sina Finance, East Money), and network instability may affect data completeness. Configuring backup data sources or retry mechanisms is advised.
Key Features
Unlike automated reporting tools built into broker platforms like Tonghuashun or East Money, it supports a 6-dimension investor sentiment score (out of 100) and AI-powered market outlook. Report types can be custom combined (e.g., morning report/closing summary/intraday alert), and delivery channels are flexible (Feishu/DingTalk/email). Traditional tools typically only provide fixed-template closing summaries.
Limitations
Relies on external data sources (e.g., Sina Finance, East Money); network instability may affect data retrieval. Requires Python 3.8+ environment and dependencies such as requests and pandas. Initial setup requires configuring data source API keys.
FAQ
What report types are supported?
Six report types are supported: morning report, closing summary, evening report, intraday alert, IPO weekly report, and financial weekend edition. They can be triggered via natural language commands or scheduled tasks.
What are the six dimensions of the sentiment score?
They include market sentiment, capital flow, advance-decline ratio, trading volume energy, sector heat, and individual stock activity. Each dimension is scored independently out of 100, collectively reflecting investor sentiment.
Installation guide for AI assistants
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