industry-performance-snapshot

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 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 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
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.

2. Check for catalysts: News explains unusual moves.

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

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

5. Volume matters: High volume confirms moves.

6. 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