Market News Analyst

This is a structured workflow for analyzing the past 10 days of financial news and ranking events by market impact. It walks Claude through six steps: scraping news with WebSearch and WebFetch, loading reference docs on historical market patterns, assessing magnitude using specific thresholds (like S&P moves of 2%+ for severe impact), then producing a ranked markdown report. It covers monetary policy, earnings, geopolitical events, and commodities with concrete search queries and impact rubrics. The approach is methodical but rigid. You'd use this when you want consistent formatting and don't want to prompt engineer the analysis yourself. The tiered impact scoring system (severe/major/moderate) gives you apples-to-apples comparisons across different event types, which is genuinely useful if you're trying to separate signal from noise in a busy news cycle.

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last updated: Aug 21, 2026

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Install

$ npx -y skills add tradermonty/claude-trading-skills --skill market-news-analyst --agent claude-code

Installs into .claude/skills of the current project.

Files

Market News Analyst

Overview

This skill enables comprehensive analysis of market-moving news events from the past 10 days, focusing on their impact on US equity markets and commodities. The skill automatically collects news from trusted sources using WebSearch and WebFetch tools, evaluates market impact magnitude, analyzes actual market reactions, and produces structured English reports ranked by market impact significance.

Prerequisites

Tools: WebSearch and WebFetch tools must be available for news collection
API Keys: None required (uses built-in web search capabilities)
Knowledge: Familiarity with financial markets terminology is helpful but not required

Output

This skill produces conversational guidance during the analysis session. When the full workflow is executed, Claude generates a comprehensive Markdown report (see Step 6 for format) that can be saved to the reports/ directory upon user request. No files are generated automatically; output is presented in the conversation.