Pull real-time finance news and trend reports from multiple Chinese sources (CLS, Weibo, WallstreetCN) plus Polymarket prediction-market data into a structured market-research workflow.
---
name: alphaear-news
description: Fetch hot finance news, unified trend reports, and Polymarket prediction data. Use when the user needs real-time financial news, multi-source trend reports, or finance market prediction data.
---
Aggregates real-time finance news and prediction-market data via bundled Python tools.
## How to use
1. Use `scripts/news_tools.py` with `NewsNowTools.fetch_hot_news(source_id, count)` to pull hot news from a source; valid source IDs (e.g. `cls`, `weibo`) are listed in `references/sources.md`.
2. Call `get_unified_trends(sources)` to aggregate the top stories across multiple sources into one trend report.
3. Use `PolymarketTools.get_market_summary(limit)` to fetch a formatted summary of active prediction markets.
4. Requires `requests` and `loguru`; results are persisted via `scripts/database_manager.py` (local DB) for reuse.
Full skill & source: https://github.com/RKiding/Awesome-finance-skills/tree/853f09b4d0baae747759ed31e21ed5c5b2316a5f/skills/alphaear-newsSign in to rate and review this skill.
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