industry-performance-snapshot

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.

27 stars

Best use case

industry-performance-snapshot is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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.

Teams using industry-performance-snapshot should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/industry-performance-snapshot/SKILL.md --create-dirs "https://raw.githubusercontent.com/OctagonAI/skills/main/skills/industry-performance-snapshot/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/industry-performance-snapshot/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How industry-performance-snapshot Compares

Feature / Agentindustry-performance-snapshotStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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 <DATE>, filtered by exchange <EXCHANGE> and industry <INDUSTRY>.
```

**MCP Call Format:**

```json
{
  "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 |
| <-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 |

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