Pulls daily closing prices, volume, and performance metrics for stocks through the Octagon MCP server. You give it a ticker and timeframe, it returns structured data you can analyze for trends, volatility, or peer comparisons. Works well for checking recent momentum over 30 days or digging into longer periods like 52-week ranges. The workflow is straightforward: natural language prompt to octagon-agent, get back a table of dates, prices, and volume. Honestly most useful when you need quick historical context on a stock without opening your broker or switching to a finance app. Includes frameworks for interpreting support levels and volume patterns if you want to go deeper than raw numbers.
npx -y skills add octagonai/skills --skill stock-performance --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
JamieMason/syncpack
awslabs/agent-plugins
github/awesome-copilot
addyosmani/agent-skills