Detalle del Skill
stock-price-change
Useful performance-analysis component, but narrow.
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SKILL.md
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---
name: stock-price-change
description: Retrieve stock price change statistics across multiple time periods using Octagon MCP. Use when analyzing short-term and long-term returns, comparing performance across timeframes, and evaluating momentum and historical growth.
---
# Stock Price Change
Retrieve comprehensive price change statistics across multiple time periods 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 the Stock
Determine the ticker symbol for the company you want to analyze (e.g., AAPL, MSFT, GOOGL).
### 2. Execute Query via Octagon MCP
Use the `octagon-agent` tool with a natural language prompt:
```
Get stock price change statistics for the symbol <TICKER>.
```
**MCP Call Format:**
```json
{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Get stock price change statistics for the symbol AAPL."
}
}
```
### 3. Expected Output
The agent returns price change data across multiple timeframes:
| Time Period | Percentage Change |
|-------------|-------------------|
| 1 Day | 4.06% |
| 5 Days | 4.80% |
| 1 Month | -0.37% |
| 3 Months | -0.13% |
| 6 Months | 33.42% |
| Year-to-Date (YTD) | -0.37% |
| 1 Year | 18.42% |
| 3 Years | 79.03% |
| 5 Years | 100.02% |
| 10 Years | 1,043.14% |
| All-Time High | 210,270.08% |
**Key Insight**: Strong long-term growth with 10-year return of 1,043.14%, but recent short-term performance slightly negative.
**Data Sources**: octagon-stock-data-agent
### 4. Interpret Results
See [references/interpreting-results.md](references/interpreting-results.md) for guidance on:
- Evaluating short-term vs. long-term performance
- Understanding momentum signals
- Comparing to benchmarks
- Assessing trend consistency
## Example Queries
**Basic Query:**
```
Get stock price change statistics for the symbol AAPL.
```
**Multiple Stocks:**
```
Compare price change statistics for AAPL, MSFT, and GOOGL.
```
**Specific Focus:**
```
What is the 1-year and 5-year return for TSLA?
```
**YTD Performance:**
```
What is the year-to-date performance of NVDA?
```
**Long-Term Growth:**
```
What is the 10-year cumulative return for AMZN?
```
## Understanding Time Periods
### Short-Term Periods
| Period | Use Case |
|--------|----------|
| 1 Day | Daily momentum |
| 5 Days | Weekly trend |
| 1 Month | Recent performance |
| 3 Months | Quarterly trend |
### Medium-Term Periods
| Period | Use Case |
|--------|----------|
| 6 Months | Half-year momentum |
| YTD | Calendar year performance |
| 1 Year | Annual return |
### Long-Term Periods
| Period | Use Case |
|--------|----------|
| 3 Years | Business cycle |
| 5 Years | Market cycle |
| 10 Years | Secular trend |
| All-Time | Total return since inception |
## Return Interpretation
### Performance Classification
| Return (1 Year) | Classification |
|-----------------|----------------|
| >50% | Exceptional |
| 25-50% | Very strong |
| 10-25% | Strong |
| 0-10% | Moderate |
| -10 to 0% | Weak |
| <-10% | Poor |
### Long-Term Standards
| Return (10 Year) | Classification |
|------------------|----------------|
| >500% | Exceptional |
| 200-500% | Very strong |
| 100-200% | Strong |
| 50-100% | Moderate |
| 0-50% | Below average |
| <0% | Poor |
## Momentum Analysis
### Trend Consistency
| Pattern | Interpretation |
|---------|----------------|
| All periods positive | Strong consistent uptrend |
| Short negative, long positive | Pullback in uptrend |
| Short positive, long negative | Bounce in downtrend |
| All periods negative | Consistent downtrend |
### Momentum Signals
| Signal | Pattern |
|--------|---------|
| Accelerating | Returns increasing across periods |
| Decelerating | Returns decreasing across periods |
| Stable | Consistent returns across periods |
| Reversal | Sign change bLeer la fuente completa en GitHub (abre una página externa)