
Macro
market-environment-analysis
Market Environment Analysis is a comprehensive tool that automates collection, interpretation, and reporting of global market conditions. It pulls live market data (major indices such as S&P 500, NASDAQ, Dow, Nikkei 225, Shanghai Composite, Hang Seng; forex pairs including USD/JPY and EUR/USD;
Overview
Market Environment Analysis is a comprehensive tool that automates collection, interpretation, and reporting of global market conditions.
Market Environment Analysis is a comprehensive tool that automates collection, interpretation, and reporting of global market conditions. It pulls live market data (major indices such as S&P 500, NASDAQ, Dow, Nikkei 225, Shanghai Composite, Hang Seng; forex pairs including USD/JPY and EUR/USD; commodities like WTI crude, gold, silver; US Treasury yields; VIX; and market session status) and evaluates trend direction, risk-on/risk-off sentiment, volatility, and sector rotation. Outputs follow a standardized report structure (executive summary, regional market overviews, forex & commodities, key economic indicators, risk analysis, and investment implications). Built-in scripts (market_utils.py) provide header formatting, session time checks, VIX categorization, and percentage formatting. Typical uses include morning briefings, pre-trade analysis, investor notes, and risk-management snapshots. Core advantages are repeatable workflows, faster professional reports, and consistent multi-market situational awareness.
Skill.md
How this skill works
Market Environment Analysis is a comprehensive tool that automates collection, interpretation, and reporting of global market conditions. It pulls live market data (major indices such as S&P 500, NASDAQ, Dow, Nikkei 225, Shanghai Composite, Hang Seng; forex pairs including USD/JPY and EUR/USD;
Market Environment Analysis
Comprehensive analysis tool for understanding market conditions and creating professional market reports anytime.
Core Workflow
1. Initial Data Collection
Collect latest market data using web_search tool:
- Major stock indices (S&P 500, NASDAQ, Dow, Nikkei 225, Shanghai Composite, Hang Seng)
- Forex rates (USD/JPY, EUR/USD, major currency pairs)
- Commodity prices (WTI crude, Gold, Silver)
- US Treasury yields (2-year, 10-year, 30-year)
- VIX index (Fear gauge)
- 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 (references/indicators.md)
Reference when you need:
- Important levels for each index
- Technical analysis key points
- Sector-specific focus areas
Analysis Patterns (references/analysis_patterns.md)
Reference 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:
- Current market phase (Bullish/Bearish/Neutral)
- Short-term direction (1-5 days outlook)
- Risk events to monitor
- 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
- Official releases (Central banks, Government statistics)
- Major financial media (Bloomberg, Reuters)
- Broker reports
- 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
- First organize the facts
- Reference historical similar events
- Verify with multiple sources
- 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
Best used for
When to use it
Market Environment Analysis is a comprehensive tool that automates collection, interpretation, and reporting of global market conditions. It pulls live market data (major indices such as S&P 500, NASDAQ, Dow, Nikkei 225, Shanghai Composite, Hang Seng; forex pairs including USD/JPY and EUR/USD;

01 · PRE-MEETING
Prepare a decision brief
Turn scattered evidence into a structured case before an investment committee meeting.

02 · TEAM WORKFLOW
Standardize handoffs
Create consistent research outputs across analysts, portfolio managers, and agents.

03 · LIVE UPDATE
Refresh the thesis
Update scenarios after a new catalyst, KPI release, or earnings result.
Community notes
Built to improve with use.
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