Market Environment Analysis 2 by @tradermonty · Skillet
Market Environment Analysis 2 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.
Version history
v3.0.0 Aug 30 v2.0.0 Aug 24 v1.0.0 Aug 19
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:
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:
python scripts/market_utils.py
- 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
Exchange Calendar and Replay Install requirements.txt before using scripts/market_utils.py. Its
--as-of flag requires an offset-bearing ISO-8601 timestamp (or Z); a bare
date is rejected because Tokyo, London, and New York status must share one
unambiguous instant. Session status is holiday-, lunch-break-, DST-, and
early-close-aware.
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:
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
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
~1.3K tokens