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EthanAlgoX
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news-intelligence

Extract and synthesize market-relevant information from unstructured financial news into structured JSON outputs.

65|9|Updated Jan 29, 2026
Search Tags:#news#clustering#entity-extraction#sentiment-analysis#risk-detection#news-monitoring#market-impact
One-click install
npx skills add https://github.com/EthanAlgoX/MarketBot --skill news-intelligence
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: news-intelligence
Source: https://github.com/EthanAlgoX/MarketBot/tree/main/marketbot/skills/news-intelligence
Command: npx skills add https://github.com/EthanAlgoX/MarketBot --skill news-intelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill converts noisy, unstructured financial news into structured, actionable intelligence so analysts and traders can quickly understand which tickers, sectors, or macro variables are affected and why.

Core Features & Use Cases

  • Collection & Deduplication: aggregate multi-source news (Bloomberg, Reuters, company filings, social) and filter duplicates, PR spam, and low-credibility items.
  • Entity & Event Extraction: identify companies, people, countries, products and classify events such as earnings, M&A, product launches, regulation, and lawsuits.
  • Sentiment & Market Impact: assign sentiment labels and estimate primary, sector, and market-wide impact with a time-horizon (short vs long term).
  • Clustering & Trending: group related articles into clusters, surface trending topics versus historical baselines, and compare term frequencies.
  • Risk Detection & Alerts: flag high-severity risks and produce breaking-news alerts or structured JSON for downstream automation.

Quick Start

Ask for a news intelligence report on the semiconductor sector over the last 24 hours to get clustered articles, sentiment, impacted tickers, and any flagged risks.

Frequently Asked Questions about news-intelligence

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

FAQPage Schema
How do I extract entities and sentiment from financial news for market impact analysis?▼

Entity and sentiment extraction from financial news identifies companies, people, and events, then assigns sentiment labels to estimate primary, sector, and market-wide impact across short or long-term horizons. This process converts unstructured articles into structured intelligence for analysts.

What is the best way to cluster financial news articles and detect trending topics?▼

Clustering financial news articles groups related stories into clusters and surfaces trending topics by comparing term frequencies against historical baselines. This approach filters duplicates and PR spam, helping traders quickly identify market-moving narratives across global markets.

Can I use news monitoring for risk detection across US, Hong Kong, and A-share markets?▼

News monitoring supports risk detection across US, Hong Kong, and A-share markets by flagging high-severity risks and generating breaking-news alerts. It aggregates multi-source data, applies credibility filtering, and outputs structured JSON for downstream automation.

How do I automate breaking-news alerts and structured JSON outputs for market events?▼

Automating breaking-news alerts involves programmatic integrations with news sources to perform deduplication, credibility filtering, and risk detection. The system outputs structured JSON containing impacted tickers, event types, and sentiment scores for downstream automation workflows.

Does news intelligence work with unstructured data from social media and company filings?▼

News intelligence processes unstructured data from social media, company filings, Bloomberg, and Reuters. It filters low-credibility items and PR spam, then extracts market-relevant entities and events to synthesize actionable insights across multiple asset classes.

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