Stock Quote

Retrieve real-time stock quotes with current price, volume, day range, 52-week range, market cap, and moving averages 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 the Stock

Determine the ticker symbol for the stock you want to quote (e.g., AAPL, MSFT, GOOGL).

2. Execute Query via Octagon MCP

Use the octagon-agent tool with a natural language prompt:

Get real-time stock quote for the symbol <TICKER>.

MCP Call Format:

{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Get real-time stock quote for the symbol AAPL."
  }
}

3. Expected Output

The agent returns a comprehensive quote including:

Metric	Example Value
Current Price	$270.01
Change	+$10.53 (+4.06%)
Volume	72,890,096 shares
Day Range	$259.21 - $270.48
52-Week Range	$169.21 - $288.62
Market Cap	$3.97 trillion
Exchange	NASDAQ
Previous Close	$259.48
50-Day Average	$268.30
200-Day Average	$236.65

Data Sources: octagon-stock-data-agent

4. Interpret Results

See references/interpreting-results.md for guidance on:

Understanding price movements
Evaluating volume significance
Analyzing range positions
Using moving averages

Example Queries

Basic Quote:

Get real-time stock quote for the symbol AAPL.

Multiple Stocks:

Get stock quotes for AAPL, MSFT, and GOOGL.

Specific Metrics:

What is the current price and market cap for TSLA?

Range Analysis:

Where is NVDA trading relative to its 52-week range?

Moving Averages:

What are the 50-day and 200-day moving averages for AMZN?

Key Quote Components

Price Information

Component	Description
Current Price	Last traded price
Change	Dollar change from previous close
Percent Change	Percentage change from previous close
Previous Close	Prior day's closing price

Volume Data

Component	Description
Volume	Shares traded today
Average Volume	Typical daily volume
Relative Volume	Current vs. average

Range Data

Component	Description
Day High	Highest price today
Day Low	Lowest price today
52-Week High	Highest price in past year
52-Week Low	Lowest price in past year

Market Data

Component	Description
Market Cap	Total market value
Exchange	Trading venue (NASDAQ, NYSE, etc.)
Shares Outstanding	Total shares issued

Technical Indicators

Component	Description
50-Day MA	50-day moving average
200-Day MA	200-day moving average
Golden Cross	50-day crosses above 200-day
Death Cross	50-day crosses below 200-day

Quote Analysis Framework

Price Position Analysis

Position	Interpretation
Near 52-Week High	Strong momentum, potential resistance
Near 52-Week Low	Weakness, potential support
Mid-Range	Neutral, watch for direction
Above Moving Averages	Bullish trend
Below Moving Averages	Bearish trend

Volume Analysis

Volume Level	Interpretation
Above Average	High interest, confirming move
Below Average	Low conviction
Spike	Unusual activity, catalyst likely

Moving Average Signals

Signal	Condition	Interpretation
Golden Cross	50-day > 200-day	Bullish
Death Cross	50-day < 200-day	Bearish
Price > Both MAs	Above both averages	Strong uptrend
Price < Both MAs	Below both averages	Strong downtrend

Market Context

Trading Hours

Session	Time (ET)
Pre-Market	4:00 AM - 9:30 AM
Regular	9:30 AM - 4:00 PM
After-Hours	4:00 PM - 8:00 PM

Quote Timing

When	Data Reflects
Market Hours	Real-time or 15-min delay
Pre/After Hours	Extended hours trading
Closed Market	Previous close

Common Use Cases

Quick Price Check

What is AAPL trading at right now?

Portfolio Monitoring

Get quotes for my holdings: AAPL, MSFT, GOOGL, AMZN, META.

Valuation Context

What is the market cap of NVDA?

Technical Analysis

Is TSLA trading above or below its 200-day moving average?

Range Analysis

How close is AMZN to its 52-week high?

Analysis Tips

Compare to averages: Price vs. 50-day and 200-day MA shows trend.
Check volume: High volume confirms price moves.
Range position: Near highs = strength, near lows = weakness.
Market cap context: Larger caps typically less volatile.
Time of day: Opening and closing often most volatile.
Pre/post market: Less liquidity, wider spreads.

Integration with Other Skills

Skill	Combined Use
stock-performance	Current quote + historical context
financial-metrics-analysis	Quote + fundamental valuation
income-statement	Price vs. earnings relationship
analyst-estimates	Quote vs. price targets

stock-quote