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alphaear-news

alphaear-news

github.com/rkidingOther3.1k1.5k installsUpdated 31w ago
Repository

About alphaear-news

alphaear-news is a skill for gathering current news trends and Polymarket prediction-market data. It combines results from selected news sources into a unified report.

Key features

  1. 01Fetch hot news by source
  2. 02Aggregate cross-source trend reports
  3. 03Summarize active Polymarket markets

Use cases

  1. 01Review trending stories from selected sources
  2. 02Compile a multi-source news report
  3. 03Check active prediction markets

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/rkiding/awesome-finance-skills --skill alphaear-news

After installing, type/alphaear-newsin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
sources.md
scripts/
__init__.py
content_extractor.py
database_manager.py
news_tools.py
tests/
test_news.py

Details

From the project README

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)

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