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news-sentiment

Analyze news and sentiment for tickers or topics using Finnhub and web search.

Updated Mar 1, 2026
Search Tags:#finance#news-analysis#trading#web-search#sentiment#stock-market#finnhub
One-click install
npx skills add https://github.com/pavanpaik/firemonkey --skill news-sentiment-pavanpaik
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: news-sentiment
Source: https://github.com/pavanpaik/firemonkey/tree/main/.claude/skills/news-sentiment
Command: npx skills add https://github.com/pavanpaik/firemonkey --skill news-sentiment-pavanpaik

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Monitor and interpret market-moving news and social sentiment to guide trading decisions.

Core Features & Use Cases

  • News aggregation from Finnhub and web search to surface headlines and catalysts.
  • Sentiment scoring with an overall score and actionable signals for tickers or topics.
  • Event calendar & alternatives including earnings, regulatory events, and notable disclosures.
  • Use cases include real-time alerts, daily briefings, and post-event summaries for equities and sectors.

Quick Start

Provide a ticker or topic to generate a real-time sentiment report.

Frequently Asked Questions about news-sentiment

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze stock market news sentiment for a specific ticker?▼

To analyze stock market news sentiment for a specific ticker, provide the ticker symbol to aggregate headlines and catalysts from Finnhub and web search, generating a structured sentiment report with an overall score and actionable trading signals.

Can I use Finnhub and web search to monitor real-time market sentiment?▼

Yes, you can monitor real-time market sentiment by integrating Finnhub data and web search to surface live headlines and event-driven catalysts, outputting actionable signals for equities, ETFs, or sectors.

What's the best way to generate a daily briefing for equity trading catalysts?▼

The best way to generate a daily briefing for equity trading catalysts is to provide a topic or sector to aggregate recent news and event disclosures, producing a structured report with an overall sentiment score and top headlines.

Does this sentiment analysis approach work for ETFs and market sectors?▼

Yes, this sentiment analysis approach works for ETFs and market sectors by applying real-time monitoring and event-driven catalyst summaries to generate structured sentiment reports for broader market topics.

What data sources are needed for event-driven stock market sentiment analysis?▼

Event-driven stock market sentiment analysis requires alternative data from Finnhub and web search to surface earnings, regulatory events, and notable disclosures, which are then scored to guide trading decisions.

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