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Retrieve stock price data and performance metrics using Octagon MCP. Use when analyzing daily closing prices, trading volume, price trends, historical performance, and comparing stock movements over specific time periods.
npx skill4agent add octagonai/skills stock-performanceoctagon-agentRetrieve the daily closing prices for <TICKER> over the last <N> days.{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Retrieve the daily closing prices for AAPL over the last 30 days."
}
}| Date | Closing Price | Volume |
|---|---|---|
| 2026-02-02 | $270.01 | 73,677,607 |
| 2026-01-30 | $259.48 | 92,443,408 |
| 2026-01-29 | $258.28 | 67,253,009 |
| ... | ... | ... |
Retrieve the daily closing prices for AAPL over the last 30 days.Get historical stock prices for MSFT for the past 90 days.Retrieve daily trading volume for TSLA over the last 2 weeks.What are the high and low prices for NVDA over the past month?Compare the stock performance of AAPL, MSFT, and GOOGL over the last 30 days.What is the 52-week high and low for AMZN?| Metric | Description |
|---|---|
| Closing Price | End-of-day price |
| Opening Price | Start-of-day price |
| High | Intraday high |
| Low | Intraday low |
| Adjusted Close | Dividend/split adjusted |
| Metric | Description |
|---|---|
| Daily Volume | Shares traded per day |
| Average Volume | Typical daily volume |
| Relative Volume | Current vs. average |
| Volume Trend | Direction over time |
| Metric | Calculation |
|---|---|
| Daily Return | (Close - Prior Close) / Prior Close |
| Period Return | (End - Start) / Start |
| Cumulative Return | Running return over period |
| Annualized Return | Period return scaled to 1 year |
| Pattern | Characteristics |
|---|---|
| Uptrend | Higher highs, higher lows |
| Downtrend | Lower highs, lower lows |
| Sideways | Range-bound movement |
| Breakout | Move beyond range |
| Measure | Description |
|---|---|
| Price Range | High - Low over period |
| Daily Range | Average daily high-low |
| Standard Deviation | Price dispersion |
| Beta | Relative to market |
| Level | Description |
|---|---|
| Support | Price floor, buying interest |
| Resistance | Price ceiling, selling pressure |
| Moving Averages | Dynamic support/resistance |
| Round Numbers | Psychological levels |
| Pattern | Interpretation |
|---|---|
| High Volume + Price Up | Strong buying conviction |
| High Volume + Price Down | Strong selling pressure |
| Low Volume + Price Up | Weak rally, may reverse |
| Low Volume + Price Down | Lack of selling interest |
| Indicator | Usage |
|---|---|
| Volume Spike | Unusual activity, potential catalyst |
| Volume Dry-up | Consolidation, waiting mode |
| Volume Trend | Confirms price trend |
| On-Balance Volume | Cumulative volume direction |
| Focus | Use Case |
|---|---|
| Recent Performance | Current momentum |
| Trading Signals | Entry/exit timing |
| News Impact | Event analysis |
| Volatility | Risk assessment |
| Focus | Use Case |
|---|---|
| Trend Identification | Direction confirmation |
| Seasonality | Cyclical patterns |
| Earnings Impact | Quarterly effects |
| Sector Rotation | Relative performance |
| Focus | Use Case |
|---|---|
| Major Trends | Secular moves |
| 52-Week Range | Valuation context |
| Recovery/Decline | Major shifts |
| Dividend Yield | Income analysis |
| Metric | What to Compare |
|---|---|
| Return | Relative performance |
| Volatility | Risk comparison |
| Correlation | Movement similarity |
| Volume | Liquidity comparison |
| Benchmark | Usage |
|---|---|
| S&P 500 | Large cap reference |
| Sector ETF | Industry context |
| Nasdaq | Tech comparison |
| Russell 2000 | Small cap reference |