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/sector-pe-ratios

Retrieve sector P/E ratios using Octagon MCP. Use when comparing company valuations to sector benchmarks, analyzing sector valuations across exchanges, and understanding market-wide valuation trends.

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octagonai-skills
13067 skills
Install
$ npx -y skills add octagonai/skills --skill sector-pe-ratios --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/sector-pe-ratios

Context preview

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

Retrieve sector P/E ratios using Octagon MCP. Use when comparing company valuations to sector benchmarks, analyzing sector valuations across exchanges, and understanding market-wide valuation trends.

SKILL.md

sector-pe-ratios.SKILL.md
name: sector-pe-ratios
description: Retrieve sector P/E ratios using Octagon MCP. Use when comparing company valuations to sector benchmarks, analyzing sector valuations across exchanges, and understanding market-wide valuation trends.

Sector P/E Ratios

Retrieve price-to-earnings ratios by sector and 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 date for the data
  • **Exchange**: NYSE, NASDAQ, etc.
  • **Sector**: Technology, Healthcare, Financials, etc.

2. Execute Query via Octagon MCP

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

Retrieve the latest sector P/E ratios for <DATE>, filtered by exchange <EXCHANGE> and sector <SECTOR>.

**MCP Call Format:**

{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Retrieve the latest sector P/E ratios for 2025-02-03, filtered by exchange NASDAQ and sector Technology."
  }
}

3. Expected Output

The agent returns sector P/E data:

| Metric | Value | |--------|-------| | Sector | Technology | | Exchange | NASDAQ | | P/E Ratio | 58.77 | | Date | 2025-02-03 |

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

4. Interpret Results

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

  • Comparing company P/E to sector P/E
  • Historical sector valuation context
  • Cross-sector comparisons
  • Exchange-specific analysis

Example Queries

**Specific Sector and Exchange:**

Retrieve the latest sector P/E ratios for 2025-02-03, filtered by exchange NASDAQ and sector Technology.

**All Sectors on Exchange:**

Get P/E ratios for all sectors on the NYSE.

**Sector Comparison:**

Compare P/E ratios for Technology, Healthcare, and Financials sectors.

**Historical Trend:**

What is the historical P/E trend for the Technology sector on NASDAQ?

**Cross-Exchange:**

Compare Technology sector P/E ratios on NYSE vs. NASDAQ.

Understanding P/E Ratios

Definition

P/E Ratio = Stock Price / Earnings Per Share

For sectors:

Sector P/E = Weighted Average P/E of all stocks in the sector

Types of P/E

| Type | Description | |------|-------------| | Trailing P/E | Based on past 12 months earnings | | Forward P/E | Based on estimated future earnings | | GAAP P/E | Using GAAP earnings | | Non-GAAP P/E | Using adjusted earnings |

Sector Categories

Major Sectors

| Sector | Typical P/E Range | |--------|-------------------| | Technology | 25-60 | | Healthcare | 18-35 | | Financials | 10-18 | | Consumer Discretionary | 15-30 | | Consumer Staples | 18-25 | | Industrials | 15-25 | | Energy | 8-20 | | Utilities | 15-22 | | Real Estate | 30-50 | | Materials | 12-20 | | Communications | 15-25 |

P/E Characteristics by Sector

| Sector | P/E Tendency | Reason | |--------|--------------|--------| | Technology | Higher | Growth expectations | | Financials | Lower | Mature, regulated | | Utilities | Moderate | Stable, dividend-focused | | Healthcare | Variable | Mix of growth/value |

Major Exchanges

Exchange Characteristics

| Exchange | Focus | |----------|-------| | NYSE | Large-cap, established | | NASDAQ | Tech-heavy, growth | | AMEX | Smaller companies, ETFs |

Exchange P/E Differences

| Factor | NYSE | NASDAQ | |--------|------|--------| | Tech Weight | Lower | Higher | | Average P/E | Generally lower | Generally higher | | Growth vs. Value | More balanced | Growth-tilted |

Using Sector P/E for Analysis

Company Valuation Context

| Comparison | Interpretation | |------------|----------------| | Company P/E < Sector P/E | Potentially undervalued or issues | | Company P/E = Sector P/E | Fairly valued relative to sector | | Company P/E > Sector P/E | Premium valuation or overvalued |

Premium/Discount Calculation

Premium/Discount = (Company P/E - Sector P/E) / Sector P/E × 100%

Example

  • Company P/E: 45
  • Sector P/E: 58.77
  • Discount: (45 - 58.77) / 58.77 = -23.4% (trading at discount)

Historical Context

Valuation Levels

| Sector P/E vs. History | Interpretation | |------------------------|----------------| | Above 10-year average | Potentially elevated | | At 10-year average | Normal valuation | | Below 10-year average | Potentially attractive |

Cycle Considerations

| Phase | Typical Sector P/E Behavior | |-------|----------------------------| | Early Recovery | Rising from lows | | Mid-Cycle | Moderate, stable | | Late Cycle | Often elevated | | Recession | Compressed or distorted |

Cross-Sector Analysis

Relative Value

| Comparison | Use | |------------|-----| | Tech vs. Financials | Growth vs. value | | Cyclical vs. Defensive | Risk appetite | | High vs. Low P/E | Market expectations |

Rotation Signals

| Signal | Meaning | |--------|---------| | Tech P/E rising faster | Growth favored | | Value sectors rising | Risk-off rotation | | Convergence | Normalization | | Divergence | Theme-driven market |

Data Considerations

Timing

| Factor | Consideration | |--------|---------------| | Earnings season | P/E updates with new earnings | | Price movements | Daily fluctuation | | Index rebalancing | Composition changes |

Calculation Differences

| Source | May Differ On | |--------|---------------| | Weighting | Market-cap vs. equal | | Earnings | Trailing vs. forward | | Constituents | Index composition |

Common Use Cases

Stock Valuation

Is AAPL's P/E reasonable compared to the Technology sector?

Sector Selection

Which sectors have the lowest P/E ratios currently?

Market Timing

Are Technology sector valuations elevated compared to history?

Portfolio Analysis

How do
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