market-environment-analysis

tradermonty/claude-trading-skills · updated Apr 8, 2026

$npx skills add https://github.com/tradermonty/claude-trading-skills --skill market-environment-analysis
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summary

Global market analysis with real-time data collection, risk sentiment assessment, and professional reporting.

  • Analyzes US, European, and Asian stock indices, forex pairs, commodities, and Treasury yields to assess market conditions and risk-on/risk-off sentiment
  • Requires WebSearch access for real-time data; no API keys needed
  • Generates structured reports covering executive summary, sector rotation, key economic events, and investment strategy implications
  • Includes utility function
skill.md

Market Environment Analysis

Comprehensive analysis tool for understanding market conditions and creating professional market reports anytime.

When to Use

  • When you need a comprehensive overview of global market conditions
  • Before making trading or investment decisions
  • For daily/weekly market briefings
  • When assessing risk-on/risk-off sentiment
  • For understanding inter-market correlations and sector rotation
  • When preparing market reports for clients or personal records

Prerequisites

  • WebSearch access: Required for fetching real-time market data
  • No API keys required: This skill uses web search for data collection
  • Optional: Economic calendar data for event-driven analysis

Core Workflow

1. Initial Data Collection

Collect latest market data using web_search tool:

  1. Major stock indices (S&P 500, NASDAQ, Dow, Nikkei 225, Shanghai Composite, Hang Seng)
  2. Forex rates (USD/JPY, EUR/USD, major currency pairs)
  3. Commodity prices (WTI crude, Gold, Silver)
  4. US Treasury yields (2-year, 10-year, 30-year)
  5. VIX index (Fear gauge)
  6. Market trading status (open/close/current values)

2. Market Environment Assessment

Evaluate the following from collected data:

  • Trend Direction: Uptrend/Downtrend/Range-bound
  • Risk Sentiment: Risk-on/Risk-off
  • Volatility Status: Market anxiety level from VIX
  • Sector Rotation: Where capital is flowing

3. Report Structure

Standard Report Format:

1. Executive Summary (3-5 key points)
2. Global Market Overview
   - US Markets
   - Asian Markets
   - European Markets
3. Forex & Commodities Trends
4. Key Events & Economic Indicators
5. Risk Factor Analysis
6. Investment Strategy Implications

Script Usage

market_utils.py

Provides common functions for report creation:

# Generate report header
python scripts/market_utils.py

# Available functions:
- format_market_report_header(): Create header
- get_market_session_times(): Check trading hours
- categorize_volatility(vix): Interpret VIX levels
- format_percentage_change(value): Format price changes

Reference Documentation

Key Indicators Interpretation

Load references/indicators.md when you need:

  • Important levels for each index
  • Technical analysis key points
  • Sector-specific focus areas

Analysis Patterns

Load references/analysis_patterns.md when analyzing:

  • Risk-on/Risk-off criteria
  • Economic indicator interpretation
  • Inter-market correlations
  • Seasonality and market anomalies

Output Examples

Quick Summary Version

📊 Market Summary [2025/01/15 14:00]
━━━━━━━━━━━━━━━━━━━━━
【US】S&P 500: 5,123.45 (+0.45%)
【JP】Nikkei 225: 38,456.78 (-0.23%)
【FX】USD/JPY: 149.85 (↑0.15)
【VIX】16.2 (Normal range)

⚡ Key Events
- Japan GDP Flash
- US Employment Report

📈 Environment: Risk-On Continues

Detailed Analysis Version

Start with executive summary, then analyze each section in detail. Key clarifications:

  1. Current market phase (Bullish/Bearish/Neutral)
  2. Short-term direction (1-5 days outlook)
  3. Risk events to monitor
  4. Recommended position adjustments

Important Considerations

Timezone Awareness

  • Consider all major market timezones
  • US markets: Evening to early morning (Asian time)
  • European markets: Afternoon to evening (Asian time)
  • Asian markets: Morning to afternoon (Local time)

Economic Calendar Priority

Categorize by importance:

  • ⭐⭐⭐ Critical (FOMC, NFP, CPI, etc.)
  • ⭐⭐ Important (GDP, Retail Sales, etc.)
  • ⭐ Reference level

Data Source Priority

  1. Official releases (Central banks, Government statistics)
  2. Major financial media (Bloomberg, Reuters)
  3. Broker reports
  4. Analyst consensus estimates

Troubleshooting

Data Collection Notes

  • Check market holidays (holiday calendars)
  • Be aware of daylight saving time changes
  • Distinguish between flash and final data

Market Volatility Response

  1. First organize the facts
  2. Reference historical similar events
  3. Verify with multiple sources
  4. Maintain objective analysis

Customization Options

Adjust based on user's investment style:

  • Day Traders: Intraday charts, order flow focus
  • Swing Traders: Daily/weekly technicals emphasis
  • Long-term Investors: Fundamentals, macro economics focus
  • Forex Traders: Currency correlations, interest rate differentials
  • Options Traders: Volatility analysis, Greeks monitoring

Resources

  • references/indicators.md - Key market indicators and interpretation guides
  • references/analysis_patterns.md - Risk-on/risk-off criteria and inter-market correlations
  • scripts/market_utils.py - Utility functions for report formatting and market status

Discussion

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general reviews

Ratings

4.572 reviews
  • Isabella Jain· Dec 24, 2024

    Useful defaults in market-environment-analysis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Maya Reddy· Dec 24, 2024

    market-environment-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Meera Agarwal· Dec 20, 2024

    We added market-environment-analysis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ganesh Mohane· Dec 12, 2024

    market-environment-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Charlotte Thomas· Dec 12, 2024

    market-environment-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sofia Agarwal· Nov 27, 2024

    market-environment-analysis reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Kaira Dixit· Nov 15, 2024

    market-environment-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Nia Thomas· Nov 15, 2024

    market-environment-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Benjamin Chen· Nov 11, 2024

    Keeps context tight: market-environment-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Rahul Santra· Nov 3, 2024

    market-environment-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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