Fetch current financial headlines and combine trending stories from multiple sources, including Weibo and WallstreetCN. You can also retrieve a summary of active Polymarket prediction markets to review alongside the news.
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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.
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Fetch real-time hot news, generate unified trend reports, and retrieve Polymarket prediction data.
Use scripts/news_tools.py via NewsNowTools.
fetch_hot_news(source_id, count)
source_ids (e.g., cls, weibo).get_unified_trends(sources)
Use scripts/news_tools.py via PolymarketTools.
get_market_summary(limit)
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Retrieve the latest financial signals from DeepEar Lite as a formatted report. Review titles, summaries, sentiment indicators, confidence scores, and source links to understand reported market trends and factors affecting stock performance.
中文简介正在准备中。当前显示英语简介。
Turn investment theses and chains of financial market effects into Draw.io-compatible diagrams. The skill generates diagram XML and saves it in a viewable HTML file, helping readers follow complex relationships and reasoning.
中文简介正在准备中。当前显示英语简介。
Generate financial market forecasts with Kronos using time-series data, meaning observations recorded over time. An agent then adjusts the numerical forecast using recent news sentiment and reasoning, combining a quantitative baseline with a subjective assessment.
中文简介正在准备中。当前显示英语简介。
Turn financial analysis and investment signals into a structured report. Group related signals, draft sections, assemble and edit the report, and create chart configurations to support the written analysis when needed.
中文简介正在准备中。当前显示英语简介。
Search for financial information on the web or in a local news database. Use Jina, DDG, or Baidu, combine results from multiple engines, and assess whether cached results can answer a query before searching again.
中文简介正在准备中。当前显示英语简介。
Analyze financial text with local FinBERT or an LLM to identify positive, negative, or neutral sentiment. Return a numeric score and short reason, with support for batch processing unanalyzed news using FinBERT.
中文简介正在准备中。当前显示英语简介。