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alphaear-news

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Fetch hot news, unified trends, and prediction market data. Use when the user needs real-time financial news, trend reports from multiple sources (Weibo, Zhihu, WallstreetCN, etc.), or Polymarket prediction data.

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AlphaEar News Skill

Overview

This skill provides comprehensive capabilities to fetch real-time hot news, generate unified trend reports from multiple platforms, and retrieve prediction market data from Polymarket. It is designed for financial analysis and signal discovery.

Capabilities

1. Fetch Hot News & Unified Trends

Use scripts/news_tools.py to interact with the NewsNow API.

Key Methods:

  • fetch_hot_news(source_id, count): Get hot news list from a specific source.
    • Sources: cls (Cailian Press), wallstreetcn, weibo, zhihu, baidu, toutiao, douyin, thepaper, 36kr.
  • get_unified_trends(sources): Get a unified report aggregating top news from specified sources.
  • fetch_news_content(url): Extract main content from a URL using Jina Reader.

Example Usage (Python):

from scripts.database_manager import DatabaseManager
from scripts.news_tools import NewsNowTools

db = DatabaseManager()
tools = NewsNowTools(db)

# 1. Fetch specific source
cls_news = tools.fetch_hot_news("cls", count=10)
print(cls_news)

# 2. Get unified report
report = tools.get_unified_trends(["cls", "wallstreetcn", "weibo"])
print(report)

# 3. Fetch content
content = tools.fetch_news_content("https://example.com/article")

2. Fetch Prediction Market Data

Use scripts/news_tools.py (specifically PolymarketTools class) to get data from Polymarket.

Key Methods:

  • get_active_markets(limit): Get active prediction markets.
  • get_market_summary(limit): Get a formatted summary report of prediction markets.

Example Usage (Python):

from scripts.database_manager import DatabaseManager
from scripts.news_tools import PolymarketTools

db = DatabaseManager()
poly_tools = PolymarketTools(db)

# Get market summary
summary = poly_tools.get_market_summary(limit=10)
print(summary)

Dependencies

  • requests
  • loguru
  • pandas (via DatabaseManager)
  • sqlite3 (built-in)

Ensure these packages are installed in the environment. JINA_API_KEY environment variable is optional but recommended for better content extraction.