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Market Environment Analysis

@Veeramanikandanr48

npx machina-cli add skill @Veeramanikandanr48/market-environment-analysis --openclaw
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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:

  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

πŸ“Š 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

πŸ“ˆ 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

Source

git clone https://clawhub.ai/Veeramanikandanr48/market-environment-analysisView on GitHub

Overview

This skill provides a comprehensive framework to understand market conditions across US, European and Asian markets, including forex, commodities, and economic indicators. It outputs professional market reports with a standard structure, offering actionable insights and a clear risk posture.

How This Skill Works

It collects data on major indices, forex rates, commodities, US Treasuries yields, and the VIX to assess trend direction, risk sentiment, volatility, and sector rotation. It then assembles a structured report with sections like Executive Summary, Global Market Overview, and Investment Strategy Implications, and supports header generation via market_utils.py.

When to Use It

  • Preparing daily or weekly market briefings for clients or internal teams
  • Assessing risk-on vs risk-off conditions and volatility using VIX and related indicators
  • Analyzing inter-market relationships (US, Europe, Asia) and identifying sector rotation
  • Generating executive summaries and concrete investment strategy implications
  • Tracking major economic events and their anticipated market impact

Quick Start

  1. Step 1: Collect latest market data (indices, forex, commodities, yields, VIX) using web_search
  2. Step 2: Run market_utils.py to generate header and assess session times (format_market_report_header, get_market_session_times, categorize_volatility)
  3. Step 3: Compile the standard report sections (Executive Summary, Global Market Overview, Forex & Commodities Trends, Key Events & Economic Indicators, Risk Factor Analysis, Investment Strategy Implications) and review

Best Practices

  • Prioritize official data releases from central banks and government statistics as primary sources
  • Maintain timezone awareness to align analysis with global market sessions
  • Use the categorize_volatility function to interpret VIX-level signals consistently
  • Follow the Standard Report Format: Executive Summary, Global Market Overview, Forex & Commodities Trends, etc.
  • Regularly review indicator interpretations, patterns, and thresholds to stay current

Example Use Cases

  • US equities rally with a Risk-On signal accompanied by sector rotation into cyclical groups
  • Mixed Asian markets while European indices trend sideways during cross-continental events
  • USD/JPY breakout paired with a rising VIX indicating a current volatility spike
  • Commodities rally on positive macro data and easing yields, shifting risk appetite
  • A stalled market environment with range-bound indices and cautious positioning

Frequently Asked Questions

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