> alphaear-news
Fetch hot finance news, unified trends, and prediction financial market data. Use when the user needs real-time financial news, trend reports from multiple finance sources (Weibo, Zhihu, WallstreetCN, etc.), or Polymarket finance market prediction data.
curl "https://skillshub.wtf/RKiding/Awesome-finance-skills/alphaear-news?format=md"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)
> related_skills --same-repo
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> alphaear-stock
Search A-Share/HK/US finance stock tickers and retrieve finance stock price history. Use when user asks about finance stock codes, recent price changes, or specific company finance stock info.
> alphaear-signal-tracker
Track finance investment signal evolution and update logic based on new finance market information. Use when monitoring finance signals and determining if they are strengthened, weakened, or falsified.
> alphaear-sentiment
Analyze finance text sentiment using FinBERT or LLM. Use when the user needs to determine the sentiment (positive/negative/neutral) and score of financial text markets.