2.6k
GitHub Stars
2
Bundled Files
2 months ago
Catalog Refreshed
3 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill openclaw/skills --skill xueqiu-hot-cn- _meta.json286 B
- SKILL.md1.2 KB
Overview
This skill monitors Xueqiu (a Chinese investment community) for trending stock discussions, high-engagement posts, and influencer commentary. It delivers real-time hot topics, sector heatmaps, and top posts to help investors spot sentiment shifts and news-driven moves. The skill is tuned for rapid filtering by ticker, sector, or popular themes.
How this skill works
The skill scrapes and aggregates Xueqiu public discussion data to identify today’s hottest threads, high-velocity posts, and updates from prominent investors. It ranks content by engagement metrics (views, comments, reposts) and organizes results by stock, sector, and thematic concept. Outputs are formatted for quick reading with key metadata (category, views, comments, ticker).
When to use it
- Monitor market sentiment during earnings season or major macro events
- Track which stocks or sectors are gaining retail attention
- Identify influential investor viewpoints and breaking posts
- Filter discussions by ticker or concept for due-diligence
- Feed alerts into trading or research workflows
Best practices
- Combine trending discussion signals with fundamental and technical filters before trading
- Set daily or intraday alert thresholds for views/comments to reduce noise
- Filter by verified influencer accounts to prioritize higher-quality commentary
- Use sector and concept heatmaps to spot rotation early
- Archive high-engagement posts for later research and pattern analysis
Example use cases
- Get a morning digest of today’s top Xueqiu discussions to shape a trading watchlist
- Subscribe to intraday flash alerts for sudden spikes in discussion around a specific ticker
- Scan influencer posts after major corporate announcements to gauge market reaction
- Compare sector heat rankings to decide which industry themes to overweight in a research note
- Collect top comments and sentiment snapshots for post-trade review and learning
FAQ
Yes. The skill supports ticker-level filtering to return only discussions and posts related to the chosen stock.
How fresh is the data and how often are alerts delivered?
Data is collected in near real time and can be delivered as a daily digest or as intraday flash alerts depending on configuration.