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Octagon Stock Data Agent
Model Name: octagon-stock-data-agent
Specialized agent for stock market data and analysis, providing comprehensive insights into market performance and valuation.
Capabilities
- Analyze stock price and indices movements
- Track trading volumes and patterns
- Monitor market trends
- Assess technical indicators
- Compare stock performance against benchmarks
- Provide detailed valuation insights
Use Cases
The Stock Data Agent is best for:
- Stock market research
- Equity analysis
- Trading pattern identification
- Performance benchmarking
- Identifying price catalysts
- Valuation analysis and assessment
Example Queries
Get Batch Market Cap
Fetch market capitalization data for multiple given companies.
@octagon-stock-data-agent Retrieve market capitalization data for the following companies: AAPL, MSFT, GOOG.Get Company Market Cap
Retrieve current market capitalization data for a given company.
@octagon-stock-data-agent Get a snapshot of financial ratings for the symbol AAPL with a limit of 10 results.Get Ratings Snapshot
Obtain a snapshot of financial ratings for a specific company.
@octagon-stock-data-agent Get a snapshot of financial ratings for the symbol AAPL with a limit of 10 results.Get Price Target Summary
Access analysts' price-target summaries for a given company's stock.
@octagon-stock-data-agent Retrieve the analysts' price-target summary for the stock symbol AAPL.Get Price Target Consensus
Fetch consensus analyst price targets for a specific company's stock.
@octagon-stock-data-agent Retrieve consensus price targets for the stock symbol AAPL.Get Stock Grades
Obtain the latest stock grades from leading analysts and financial institutions for a given company.
@octagon-stock-data-agent Get the latest stock grades for the symbol AAPL from top analysts and financial institutions.Get Sector PE Ratios
Retrieve current sector price-to-earnings ratios filtered by exchange and sector.
@octagon-stock-data-agent Retrieve the latest sector P/E ratios for 2025-02-03, filtered by exchange NASDAQ and sector Technology.Get Industry PE Ratios
Fetch current industry price-to-earnings ratios filtered by exchange and industry.
@octagon-stock-data-agent Retrieve the latest industry P/E ratios for 2025-02-03, filtered by exchange NYSE and industry Semiconductors.Get Sector Performance Snapshot
Obtain a snapshot of market sector performance filtered by date, exchange, and sector.
@octagon-stock-data-agent Retrieve a snapshot of market sector performance for 2025-02-03, filtered by exchange NASDAQ and sector Technology.Get Industry Performance Snapshot
Retrieve daily industry performance overview filtered by date, exchange, and industry.
@octagon-stock-data-agent Retrieve a daily overview of industry performance for 2025-02-03, filtered by exchange NASDAQ and industry Biotechnology.Get Historical Market Cap
Access historical market capitalization data for a given company within a specified date range.
@octagon-stock-data-agent Retrieve historical market capitalization data for AAPL from from 2025-01-01 to 2025-04-30, limited to 1000 records.Get Historical Index Full Chart
Fetch complete historical end-of-day price data for a specified market index within a given date range.
@octagon-stock-data-agent Retrieve full historical end-of-day price data for the ^GSPC index from from 2025-01-01 to 2025-04-30.Get Historical Index Light Chart
Obtain historical end-of-day prices for a specified market index over a given period.
@octagon-stock-data-agent Get historical end-of-day prices for the ^GSPC index from 2025-01-01 to 2025-04-30.Get Stock Price Change
Retrieve statistics on price changes for a specific company's stock.
@octagon-stock-data-agent Get stock price change statistics for the symbol AAPL.Get Stock Quote
Fetch a real-time stock quote for a specific company.
@octagon-stock-data-agent Get real-time stock quote for the symbol AAPL.Code Examples
Python
response = client.responses.create(
model="octagon-stock-data-agent",
input="How has Apple's stock performed compared to the S&P 500 over the last 6 months?",
)JavaScript
const response = await client.responses.create({
model: "octagon-stock-data-agent",
input: "How has Apple'\''s stock performed compared to the S&P 500 over the last 6 months?",
});cURL
curl -X POST https://api-gateway.octagonagents.com/v1/responses \
-H "Content-Type: application/json" \
-H "Authorization: Bearer your-octagon-api-key" \
-d '{
"model": "octagon-stock-data-agent",
"input": "How has Apple'\''s stock performed compared to the S&P 500 over the last 6 months?",
"stream": true
}' \
--no-bufferHow to Create Effective Prompts for Stock Data Analysis
When querying stock data, consider these strategies:
Specify precise time ranges: Include exact date ranges to limit the data scope.
- Example: "Analyze AAPL price movement between January 1, 2023 and March 15, 2023."
Indicate data granularity: Specify whether you need tick-by-tick, minute, hour, day, or other timeframes.
- Example: "Extract hourly volume data for TSLA during market hours on February 14, 2024."
Clarify the metrics needed: Be specific about which data points you're interested in.
- Example: "Calculate the average daily trading range for NVDA over the past 30 trading days."
Request comparative analysis: Ask for comparisons between securities or time periods.
- Example: "Compare the daily VWAP for AMZN, GOOG, and META during the last earnings season."
Define visualization preferences: Specify chart types or visualization needs.
- Example: "Generate a candlestick chart with 50-day and 200-day moving averages for SPY."
Focus on specific events: Target data around particular market events.
- Example: "Analyze the trading volume pattern for MSFT in the 48 hours following their Q4 earnings announcement."
Include technical indicators: Specify which technical analysis metrics to calculate.
- Example: "Calculate and plot the RSI, MACD, and Bollinger Bands for AMD over the past 3 months."
Request pattern identification: Ask for detection of specific price or volume patterns.
- Example: "Identify any instances of gap up openings followed by price reversals for COIN in 2023."
Stock Data Available Fields
Market Data (Real-time & Historical)
| Field | Description |
|---|---|
| Open | Opening price for the specified time period |
| High | Highest price reached during the specified time period |
| Low | Lowest price reached during the specified time period |
| Close | Closing price for the specified time period |
| Volume | Number of shares traded during the specified time period |
| VWAP | Volume Weighted Average Price |
| Timestamp | Exact time of the data point |
| After Hours | After-hours trading price |
| Pre-market | Pre-market trading price |
| Adjusted Close | Close price adjusted for splits and dividends |
| Trade Count | Number of individual trades executed |
| Tick Size | Minimum price movement increment |
| Weighted Average | Weighted average price based on specified criteria |
| Spread | Difference between ask and bid prices |
| Number of Trades | Count of executed trades within the time period |
| Dividend Yield | Annual dividend payments as percentage of share price |
| 52-Week High | Highest price in the past 52 weeks |
| 52-Week Low | Lowest price in the past 52 weeks |
| Average Volume | Average daily trading volume |
| Market Cap | Total market value of outstanding shares |
| Historical Market Cap | Historical market value of outstanding shares over time period |
| Enterprise Value | Market cap plus debt minus cash |
Technical Indicators
| Field | Description |
|---|---|
| Simple Moving Average (SMA) | Average price over a specified number of periods |
| Exponential Moving Average (EMA) | Weighted moving average giving more importance to recent prices |
| Relative Strength Index (RSI) | Momentum oscillator measuring speed and change of price movements |
| Moving Average Convergence Divergence (MACD) | Trend-following momentum indicator |
| Bollinger Bands | Volatility bands placed above and below a moving average |
| Average True Range (ATR) | Market volatility indicator |
| On-Balance Volume (OBV) | Volume-based momentum indicator |
| Stochastic Oscillator | Momentum indicator comparing closing price to price range |
| Fibonacci Retracement | Potential support/resistance levels based on Fibonacci sequence |
| Ichimoku Cloud | Collection of indicators showing support/resistance, momentum, and trend direction |
| Volume Profile | Distribution of volume at different price levels |
| Money Flow Index (MFI) | Volume-weighted RSI |
| Average Directional Index (ADX) | Trend strength indicator |
Volatility Metrics
| Field | Description |
|---|---|
| Historical Volatility | Standard deviation of price changes over a specified period |
| Implied Volatility | Market's forecast of likely movement derived from options prices |
| Average True Range (ATR) | Average of true ranges over specified time period |
| Beta | Measure of stock's volatility compared to the overall market |
| Volatility Surface | Three-dimensional plot of implied volatility across strike prices and expirations |
| Volatility Smile | Pattern of implied volatility across different strike prices |
| Volatility Term Structure | Pattern of implied volatility across different expiration dates |
| Volatility Skew | Difference in implied volatility between out-of-money options |
| CBOE Volatility Index (VIX) Data | Market's expectation of 30-day forward-looking volatility |
| Realized Volatility | Actual historical volatility over a specific period |
| Volatility Ratio | Comparison of short-term to long-term volatility |
Price Pattern Analysis
| Field | Description |
|---|---|
| Gap Up/Down | Price difference between previous close and current open |
| Support Levels | Price levels where downward trends tend to pause |
| Resistance Levels | Price levels where upward trends tend to pause |
| Price Channels | Parallel lines that contain price movement |
| Chart Patterns | Identified patterns such as head and shoulders, double tops, etc. |
| Trend Lines | Lines connecting price highs or lows to identify trends |
| Breakout/Breakdown Points | Prices at which security moves outside established patterns |
| Pivot Points | Calculated levels used to determine potential support/resistance |
| Price Reversals | Points where price trend changes direction |
| Average Daily Range | Average price movement within a trading day |
| Volume Spikes | Unusual increases in trading volume |
| Price Momentum | Rate of acceleration in price movement |
| Consolidation Zones | Areas where price moves sideways within a range |
Company Reference Data
| Field | Description |
|---|---|
| Ticker | Stock trading symbol |
| Company Name | Legal name of the company |
| Exchange | Stock exchange where the security is listed |
| Industry | Primary industry classification |
| Sector | Broader market sector classification |
| Market Cap | Total market value of outstanding shares |
| Shares Outstanding | Total number of shares issued by the company |
| Float | Number of shares available for public trading |
| Primary Exchange | Main exchange where the stock is listed |
| Currency | Currency in which the stock is traded |
| Country | Country where the company is headquartered |
| CIK | Central Index Key (SEC identifier) |
| FIGI | Financial Instrument Global Identifier |
| ISIN | International Securities Identification Number |
| CUSIP | Committee on Uniform Security Identification Procedures identifier |
Corporate Actions
| Field | Description |
|---|---|
| Dividends | Cash payments distributed to shareholders |
| Stock Splits | Division of existing shares into multiple shares |
| Reverse Splits | Consolidation of shares to form fewer, higher-priced shares |
| Spinoffs | Creation of independent company through distribution of shares |
| Mergers & Acquisitions | Information about corporate combinations |
| Rights Offerings | Issuance of rights to purchase additional shares |
| Symbol Changes | Updates to ticker symbols |
| IPO Date | Initial public offering date |
| Delisting Events | Removal from trading on an exchange |
| Name Changes | Changes to company name |
| Dividend Ex-Date | Date when shares begin trading without dividend rights |
| Dividend Record Date | Date determining which shareholders receive dividends |
| Dividend Payment Date | Date when dividends are actually paid |
| Split Ratio | Ratio for stock splits (e.g., 2:1, 3:1) |
Valuation Ratios
| Metric | Description |
|---|---|
| PE Ratio | Price per share divided by earnings per share |
| PEG Ratio | PE ratio divided by earnings growth rate |
| Forward PEG Ratio | Forward PE ratio divided by expected earnings growth rate |
| PB Ratio | Price per share divided by book value per share |
| PS Ratio | Price per share divided by sales per share |
| PCF Ratio | Price per share divided by free cash flow per share |
| POCF Ratio | Price per share divided by operating cash flow per share |
| Price to Fair Value | Current price divided by estimated fair value |
| EV to Sales | Enterprise value divided by sales |
| EV to Operating Cash Flow | Enterprise value divided by operating cash flow |
| EV to EBITDA | Enterprise value divided by EBITDA |