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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.

Published by RKiding ↗RKiding/Awesome-finance-skills

Try your first task

Fetch a small set of hot financial stories

Start a fresh conversation.

Use the alphaear-news skill to fetch the latest hot financial news from source `{source_id}` with a count of `{count}`. Verify that the source ID is valid using the skill's source reference, then return a concise list of headlines and available source information. Do not publish or save anything.

Required inputs

  • `{source_id}`: a valid source identifier, such as `cls` or `weibo`
  • `{count}`: the number of stories to retrieve
  • Runtime setup: `requests`, `loguru`, and the bundled local database support

Suggested template by Skill Leaderboard, grounded in the linked source. Task evidence ↗

SKILL.md

name: alphaear-newsdescription: 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.

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).
  • 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, loguru
  • scripts/database_manager.py (Local DB)