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stock-performance

Retrieve daily closing prices and trading volumes for public company tickers via Octagon MCP.

130|13|Updated Feb 2, 2026
Search Tags:#performance#analysis#mcp#stock#price#volume#octagon
One-click install
npx skills add https://github.com/OctagonAI/skills --skill stock-performance
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: stock-performance
Source: https://github.com/OctagonAI/skills/tree/main/skills/stock-performance
Command: npx skills add https://github.com/OctagonAI/skills --skill stock-performance

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Stock-performance provides quick access to essential stock price and volume data, enabling faster decision-making and performance tracking.

Core Features & Use Cases

  • Retrieve daily closing prices and trading volumes for one or more tickers
  • Compare price performance across multiple stocks over defined time ranges
  • Analyze trends, volatility, and relative performance for portfolio monitoring

Quick Start

Query Octagon MCP for a ticker's daily closing prices and volume over the last 30 days.

Frequently Asked Questions about stock-performance

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve daily stock prices and trading volume for a specific ticker?▼

To retrieve daily stock prices and trading volume, query the configured Octagon MCP server with a target ticker and time range. The octagon-agent returns structured price data and volume metrics for performance analysis.

Can I compare price performance across multiple stocks over different time horizons?▼

Yes, you can compare price performance across multiple stocks by querying several tickers simultaneously. The Skill supports cross-ticker comparisons and trend assessments across short, medium, and long-term time horizons.

Do I need a configured Octagon MCP server to analyze stock performance data?▼

Yes, a configured Octagon MCP server is required to analyze stock performance data. The Skill uses the octagon-agent to connect to the server and return structured daily closing prices and volume metrics.

What is the best way to track stock volatility and relative performance for portfolio monitoring?▼

The best way to track stock volatility and relative performance is retrieving daily closing prices over a defined time range. This allows you to analyze trends and compare relative performance across multiple tickers for portfolio monitoring.

How does the octagon-agent return structured stock price data for trend analysis?▼

The octagon-agent returns structured stock price data by querying the Octagon MCP server for daily closing prices and trading volumes. This structured output simplifies time-based analyses and trend assessments for the requested tickers.

What are the limitations of using stock-performance for daily price and volume analysis?▼

The primary limitation is the dependency on a configured Octagon MCP server. The Skill focuses on daily prices and trading volumes, meaning it may not cover fundamental financial metrics or real-time tick-by-tick trading data.

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