Stock Market

What This Skill Does

The Stock Market skill is a professional-grade analytical framework designed for the OpenClaw AI agent. It transforms raw market data into actionable intelligence by enforcing rigorous thesis validation, structured catalyst mapping, and disciplined risk management. Instead of providing speculative market chatter, this skill forces the agent to differentiate between verifiable price data, analytical assumptions, and narrative hypotheses. It manages a persistent local knowledge base in the ~/stock-market/ directory, ensuring that your trading style, risk tolerance, and historical performance lessons are remembered across sessions.

Installation

To integrate this skill, run the following command in your terminal: clawhub install openclaw/skills/skills/ivangdavila/stock-market Ensure your workspace has permissions to read and write to the local directory, as the skill requires persistent access to your watchlist, risk rules, and briefing logs for optimal performance.

Use Cases

This skill is built for active market participants who require structured, objective-based decision-making. Use it for:

• Pre-market briefing preparation to align your day with key catalysts.
• Validating long-term investment theses against short-term structural setups.
• Maintaining a ranked watchlist that prioritizes assets by risk-adjusted upside and proximity to catalysts.
• Conducting post-trade analysis to identify emotional drift or recurring execution errors.
• Automated compliance with predefined risk-playbook guardrails for position sizing.

Example Prompts

1. "Analyze my current watchlist in watchlist.md. Which tickers are showing the best structural setup for an intraday trade based on tomorrow's FOMC catalyst?"
2. "Review the last three entries in briefing-log.md. Why did my thesis for AAPL fail, and what should I add to my memory.md to prevent similar invalidation-level mistakes?"
3. "Evaluate a potential long position in NVDA. Run a thesis check, define the entry trigger, set the invalidation level, and check against risk-rules.md to suggest a safe position size."

Tips & Limitations

• The skill relies on you maintaining the ~/stock-market/ files. The more you update your memory.md with lessons, the better the agent understands your risk appetite.
• Avoid 'momentum chasing.' The agent is programmed to flag entries that lack a clear catalyst. If you find yourself over-trading, use the 'no-trade' logging feature to build a record of self-restraint.
• Never skip the risk-check. The skill includes a specific risk-playbook.md module; ensure your volatility limits are updated regularly to account for shifting market conditions.