Market Environment Analysis

Comprehensive market environment analysis and reporting tool. Analyzes global markets including US, European, Asian markets, forex, commodities, and economic indicators. Provides risk-on/risk-off assessment, sector analysis, and technical indicator interpretation. Triggers on keywords like market analysis, market environment, global markets, trading environment, market conditions, investment climate, market sentiment, forex analysis, stock market analysis, 相場環境, 市場分析, マーケット状況, 投資環境.

Security Scan

The skill's code, instructions, and requirements are coherent with a market analysis/reporting tool and do not request unrelated credentials, installs, or suspicious access.

Purpose & Capability

Name/description match the behavior: SKILL.md describes collecting market data (via web_search) and producing reports; included helper script provides formatting, session times, volatility categorization, and checklist — all appropriate for the stated purpose.

Instruction Scope

Runtime instructions stick to market data collection and analysis. They tell the agent to use web_search for public market data and to call local helper functions; there are no instructions to read unrelated files, access system credentials, or post to external endpoints other than standard web searches.

Install Mechanism

This is an instruction-only skill with one small python helper file. There is no install spec, no external downloads, and nothing is written to disk by an installer — low installation risk.

Credentials

The skill declares no environment variables, no credentials, and no config paths. That is proportionate for a read-only market-reporting tool that relies on public web data.

Persistence & Privilege

always is false and the skill does not request persistent or system-wide privileges. Autonomous invocation is enabled by default on the platform but that is expected for skills of this type and is not excessive here.

Assessment

This skill appears internally consistent and low-risk: it uses web_search for public market data and a small local Python helper for formatting and simple calculations. Before installing, consider: (1) confirm you trust the agent's web_search sources (it will gather market data from the public web); (2) the skill does not request credentials so avoid pasting any API keys or private data into prompts; (3) the helper script uses naive timezone logic and simple trading-day logic (may mis-handle holidays/timezones), so verify time-sensitive outputs before acting; (4) if you plan to rely on this for investment decisions, treat outputs as informational and ensure compliance with any advisory/regulatory requirements. If you want extra assurance, review the platform's web_search logs or run the script locally to inspect behavior.

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:

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 (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:

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