| 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
-
Compare to market: Industry move vs. S&P 500/NASDAQ.
-
Check for catalysts: News explains unusual moves.
-
Consider volatility: Biotech ±5% is normal, utilities ±5% is not.
-
Track trends: One day is noise, multiple days is signal.
-
Volume matters: High volume confirms moves.
-
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 |
