Skip to content
Finance
Skill

/industry-performance-snapshot

Retrieve a daily overview of industry performance using Octagon MCP. Use when analyzing daily price movements, average changes, and performance trends for specific industries within an exchange.

BOOST
From plugin
octagonai-skills
13067 skills
Install
$ npx -y skills add octagonai/skills --skill industry-performance-snapshot --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/industry-performance-snapshot

Context preview

The summary Claude sees to decide when to auto-load this skill.

Retrieve a daily overview of industry performance using Octagon MCP. Use when analyzing daily price movements, average changes, and performance trends for specific industries within an exchange.

SKILL.md

industry-performance-snapshot.SKILL.md
name: industry-performance-snapshot
description: Retrieve a daily overview of industry performance using Octagon MCP. Use when analyzing daily price movements, average changes, and performance trends for specific industries within an exchange.

Industry Performance Snapshot

Retrieve daily industry performance data by exchange using the Octagon MCP server.

Prerequisites

Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See [references/mcp-setup.md](references/mcp-setup.md) for installation instructions.

Workflow

1. Identify Parameters

Determine your query parameters:

  • **Date**: Specific trading date
  • **Exchange**: NYSE, NASDAQ, etc.
  • **Industry**: Biotechnology, Semiconductors, Software, etc.

2. Execute Query via Octagon MCP

Use the `octagon-agent` tool with a natural language prompt:

Retrieve a daily overview of industry performance for <DATE>, filtered by exchange <EXCHANGE> and industry <INDUSTRY>.

**MCP Call Format:**

{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Retrieve a daily overview of industry performance for 2025-01-09, filtered by exchange NASDAQ and industry Biotechnology."
  }
}

3. Expected Output

The agent returns daily industry performance metrics:

| Metric | Value | |--------|-------| | Industry | Biotechnology | | Exchange | NASDAQ | | Date | 2025-01-09 | | Average Change | +7.89% |

**Interpretation**: Strong positive movement in biotechnology stocks on NASDAQ for the specified date.

**Data Sources**: octagon-stock-data-agent

4. Interpret Results

See [references/interpreting-results.md](references/interpreting-results.md) for guidance on:

  • Evaluating daily performance magnitude
  • Comparing industry vs. market moves
  • Identifying sector rotation signals
  • Tracking momentum trends

Example Queries

**Specific Industry and Date:**

Retrieve a daily overview of industry performance for 2025-01-09, filtered by exchange NASDAQ and industry Biotechnology.

**Technology Industry:**

Get today's performance for the Semiconductor industry on NASDAQ.

**Multiple Industries:**

Compare daily performance of Software, Hardware, and Semiconductors on NASDAQ.

**Historical Date:**

What was the Biotechnology industry performance on the last FDA approval day?

**Trend Analysis:**

Show industry performance for Healthcare on NYSE over the past week.

Understanding Daily Performance

What Average Change Represents

| Aspect | Description | |--------|-------------| | Definition | Average price change of stocks in industry | | Calculation | Mean of individual stock returns | | Weighting | Equal or market-cap weighted | | Timeframe | Single trading day |

Performance Levels

| Change | Interpretation | |--------|----------------| | >5% | Exceptional (major catalyst) | | 2-5% | Strong move | | 0.5-2% | Moderate move | | -0.5% to +0.5% | Flat | | -2 to -0.5% | Moderate decline | | <-5% | Significant decline |

Industry Categories

Technology Industries

| Industry | Typical Volatility | |----------|-------------------| | Biotechnology | High (clinical trials, FDA) | | Semiconductors | Moderate-High (cyclical) | | Software | Moderate | | IT Services | Low-Moderate | | Hardware | Moderate |

Healthcare Industries

| Industry | Typical Volatility | |----------|-------------------| | Biotechnology | High | | Pharmaceuticals | Moderate | | Medical Devices | Low-Moderate | | Healthcare Services | Low |

Financial Industries

| Industry | Typical Volatility | |----------|-------------------| | Banks | Moderate (rate-sensitive) | | Insurance | Low-Moderate | | Asset Management | Moderate | | Fintech | Moderate-High |

Analyzing Performance

Context Matters

| Factor | Consideration | |--------|---------------| | Market direction | Industry vs. S&P 500 | | Sector performance | Industry vs. sector | | Historical range | Normal vs. unusual | | Catalyst presence | News-driven vs. rotation |

Relative Performance

| Comparison | Insight | |------------|---------| | Industry > Market | Outperforming | | Industry = Market | In-line | | Industry < Market | Underperforming |

Alpha Calculation

Alpha = Industry Return - Market Return

Example:

  • Industry: +7.89%
  • Market: +0.5%
  • Alpha: +7.39% (significant outperformance)

Catalyst Analysis

Common Industry Catalysts

| Catalyst | Expected Impact | |----------|-----------------| | FDA approval | Biotech +3-10% | | Earnings season | Varies | | Rate decision | Financials ±2-5% | | Product launch | Tech +1-3% | | Regulatory news | Varies |

Biotechnology Specifics

| Event | Typical Response | |-------|------------------| | Phase 3 success | +5-20% | | FDA approval | +5-15% | | Clinical setback | -5-30% | | M&A announcement | +10-50% |

Momentum Analysis

Trend Signals

| Pattern | Interpretation | |---------|----------------| | Multiple up days | Positive momentum | | Multiple down days | Negative momentum | | Reversal | Potential trend change | | Range-bound | Consolidation |

Follow-Through

| Signal | Reliability | |--------|-------------| | High volume + strong move | Strong signal | | Low volume + strong move | Weak signal | | Continuation next day | Trend confirmation | | Reversal next day | False move |

Sector Rotation Signals

Industry Leadership

| Pattern | Meaning | |---------|---------| | Cyclicals leading | Risk-on sentiment | | Defensives leading | Risk-off sentiment | | Growth leading | Optimistic outlook | | Value leading | Cautious approach |

Rotation Indicators

| Observation | Interpretation | |-------------|----------------| | Biotech surging | Speculative appetite | | Utilities leading | Flight to safety | | Banks rallying | Rate expectations | | Tech selling off | Growth concerns |

Exchange Considerations

NASDAQ Characteristics

| Factor | Impact | |---

Read more
Ships withoctagonai-skills

A collection of AI agent skills for financial data analysis powered by the Octagon MCP.

Get the whole plugin

Other skills on octagonai-skills.