skills/octagonai/skills/industry-performance-snapshot

industry-performance-snapshot

SKILL.md

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
Weekly Installs
20
GitHub Stars
11
First Seen
Feb 7, 2026
Installed on
opencode20
gemini-cli19
codex19
github-copilot18
cursor18
amp17