Industry Performance Snapshot

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 , filtered by exchange  and 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 | | 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 | |--------|--------| | Tech-heavy | More volatile | | Growth-oriented | Bigger moves | | Biotech concentration | FDA-sensitive |

NYSE Characteristics

| Factor | Impact | |--------|--------| | More diversified | Moderate volatility | | Large-cap focus | Steadier moves | | Traditional industries | Less speculative |

Common Use Cases

Daily Monitoring

How did Biotechnology perform today?

Catalyst Research

What was the industry reaction to the FDA announcement?

Sector Rotation

Which industries are leading the market today?

Historical Analysis

What was industry performance during last quarter's earnings season?

Momentum Tracking

Is the Semiconductor industry showing positive momentum this week?

Analysis Tips

1. Compare to market: Industry move vs. S&P 500/NASDAQ.

1. Check for catalysts: News explains unusual moves.

1. Consider volatility: Biotech ±5% is normal, utilities ±5% is not.

1. Track trends: One day is noise, multiple days is signal.

1. Volume matters: High volume confirms moves.

1. Look at breadth: How many stocks participated?

Integration with Other Skills

| Skill | Combined Use | |-------|--------------| | sector-performance-snapshot | Broader sector context | | industry-pe-ratios | Valuation with performance | | stock-performance | Individual stock details | | stock-quote | Current prices |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: OctagonAI
• Source: OctagonAI/skills
• License: MIT
• Homepage: https://octagonai.co

Install and usage instructions live in the source repository linked above.