modular-market-brief

What This Skill Does

The modular-market-brief is a powerful OpenClaw AI agent skill designed for professional-grade, data-backed financial reporting. It allows users to generate customizable market summaries (AM/PM briefs) that aggregate global asset performance across equities, rates, FX, commodities, and crypto. By leveraging real-time data sources like yfinance and specialized scrapers, it produces high-density, modular reports that include top movers, trend analysis (via MA/RSI indicators), and actionable, non-prescriptive 'best-idea' wrap-ups. It is fully region-agnostic and supports user-defined ticker lists.

Installation

To install the skill, execute the following command in your terminal: clawhub install openclaw/skills/skills/boilerrat/modular-market-brief

For enhanced programmatic functionality (data-backed price tapes), ensure you have the required dependencies. It is recommended to use a virtual environment to manage dependencies like yfinance, pandas, and numpy to comply with PEP 668. Create your environment with python3 -m venv ~/.venvs/market-brief, install the packages using ~/.venvs/market-brief/bin/pip install yfinance pandas numpy, and utilize the bundled scripts located in the scripts/ directory for automated data fetching.

Use Cases

This skill is ideal for:

• Institutional Analysts: Creating daily pre-market roundups for global desk reviews.
• Retail Traders: Building custom cross-asset dashboards to track specific ETFs and crypto pairs before the market open.
• Portfolio Managers: Maintaining a disciplined view of market trends and 'top mover' sentiment across different exchanges.
• Financial Content Creators: Generating quick, data-dense summaries for newsletters or internal team Slack channels.

Example Prompts

1. "Generate a US-focused AM brief including the S&P 500, DXY, WTI oil, and the top 5 gainers on the NYSE today."
2. "Create an afternoon summary for my crypto-heavy portfolio, check BTC/ETH/SOL trends, and give me a pattern-based look at whether I should hold or adjust."
3. "Build a global market dashboard comparing EU indices with US tech stocks. Use a conservative risk framing and provide one cross-asset trade idea."

Tips & Limitations

• Modularity: You can omit sections you don't need; keep the report concise by explicitly asking the agent to 'focus only on equities and commodities'.
• Trend Logic: The trend labels (BUY/SELL/WAIT) are based on simple moving average crosses and RSI. Treat these as technical pattern markers, not financial advice.
• Data Sources: If you do not install yfinance, the agent will rely on public web information. For higher accuracy, ensure you use the provided environment setup instructions.
• Risk Management: Never mistake AI-generated analysis for investment advice. Always review the 'invalidation' criteria before considering any trade ideas presented by the model.