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veeramanikandanr48

Market Environment Analysis

by Veera · GitHub ↗ · v0.1.0
cross-platform ✓ Security Clean
12519
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16
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92
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1
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Install in OpenClaw
/install market-environment-analysis
Description
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.
README (SKILL.md)

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

📊 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
Usage Guidance
Before installing, understand that the skill may activate on broad market or finance questions and will rely on web search quality for current prices and events. Verify important market data against official or major financial sources before relying on any report or position-adjustment suggestion.
Capability Analysis
Type: OpenClaw Skill Name: market-environment-analysis Version: 0.1.0 The skill bundle is designed for market environment analysis. The `SKILL.md` instructs the AI agent to use a `web_search` tool for data collection and to execute a local Python script (`scripts/market_utils.py`) for report generation. The Python script is benign, performing only local data processing and formatting using standard libraries, with no network access, file system manipulation (beyond its own execution), or use of risky functions. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, obfuscation, or prompt injection attempts to subvert the agent's core directives or access sensitive data beyond the stated purpose.
Capability Assessment
Purpose & Capability
The stated purpose is market environment analysis, and the included SKILL.md, reference files, and Python utility all align with collecting market data, interpreting indicators, and formatting reports.
Instruction Scope
The trigger description is broad for finance-related queries and the workflow asks for current market data and investment-strategy implications, so users should verify figures and treat output as informational rather than financial advice.
Install Mechanism
No package installation or setup mechanism is declared. The included script uses standard Python libraries for local formatting, time calculations, and checklist output.
Credentials
Use of web_search is disclosed and proportionate for current market analysis. The artifacts do not request environment variables, credentials, account access, or local private data.
Persistence & Privilege
The artifacts show no background workers, persistence, privilege escalation, file mutation, credential storage, trading authority, or external exfiltration behavior.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install market-environment-analysis
  3. After installation, invoke the skill by name or use /market-environment-analysis
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of Market Environment Analysis skill. - Provides comprehensive market environment analysis and reporting, covering global equities, forex, commodities, and economic indicators. - Assesses trend direction, risk sentiment, volatility, sector rotation, and technical signals. - Generates structured, professional market reports with both summary and detailed formats. - Includes utilities for formatting, interpreting volatility, and managing timezones. - Offers customizations for different trading styles (day, swing, long-term, forex, options).
Metadata
Slug market-environment-analysis
Version 0.1.0
License
All-time Installs 92
Active Installs 92
Total Versions 1
Frequently Asked Questions

What is 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. It is an AI Agent Skill for Claude Code / OpenClaw, with 12519 downloads so far.

How do I install Market Environment Analysis?

Run "/install market-environment-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Market Environment Analysis free?

Yes, Market Environment Analysis is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Market Environment Analysis support?

Market Environment Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Market Environment Analysis?

It is built and maintained by Veera (@veeramanikandanr48); the current version is v0.1.0.

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