
Alphaear News
Pulls real-time financial news and trend data from Chinese sources like Weibo, Zhihu, and WallstreetCN, plus Polymarket prediction market data. You get two main functions: fetch hot news from individual sources or generate unified trend reports aggregating multiple feeds at once. The Polymarket integration is a nice touch if you're tracking what traders are actually betting on. It's clearly built for monitoring Chinese finance discourse, so most useful if that's your market or you're comparing East/West sentiment. Straightforward REST-based tool that writes to a local database for caching.
- skills.sh installs
- 1.6K
- GitHub stars
- 3.1K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add rkiding/awesome-finance-skills --skill alphaear-news --agent claude-codeInstalls into .claude/skills of the current project.
Files
AlphaEar News Skill
Overview
Fetch real-time hot news, generate unified trend reports, and retrieve Polymarket prediction data.
Capabilities
1. Fetch Hot News & Trends
Use scripts/news_tools.py via NewsNowTools.
- Fetch News:
fetch_hot_news(source_id, count)- See sources.md for valid
source_ids (e.g.,cls,weibo).
- See sources.md for valid
- Unified Report:
get_unified_trends(sources)- Aggregates top news from multiple sources.
2. Fetch Prediction Markets
Use scripts/news_tools.py via PolymarketTools.
- Market Summary:
get_market_summary(limit)- Returns a formatted report of active prediction markets.
Dependencies
requests,loguruscripts/database_manager.py(Local DB)
Sponsors
Details
- Repository
- github.com/rkiding/awesome-finance-skills
- Category
- Finance & Trading
- First seen
- Apr 16, 2026