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Options analytics

Price a European option on a live stock: pull the current quote, estimate volatility from recent history, run Black-Scholes for fair value + the full greeks, and check the news for catalysts.

When to use this pack

Sizing an options trade or hedging a position — you want a fair value and the greeks (delta, gamma, vega, theta, rho) grounded in the stock's live price and realized volatility, not a stale textbook input.

Tools in this pack

Workflow

  1. Get the live spot price from stock-quote — the underlying S for the option.
  2. Pull ~60 days of closes from stock-history and compute annualized realized volatility (stddev of daily log returns × sqrt(252)) — the sigma input.
  3. Run black-scholes with the live spot, your strike/expiry, the current risk-free rate, and that volatility to get fair value plus delta, gamma, vega, theta, and rho.
  4. Search the web for any earnings, guidance, or events before expiry that could move implied vol beyond the realized estimate.

Run it in Claude

claude mcp add agent402 -s user -- npx -y agent402-mcp@latest

Then paste this prompt into Claude:

Price a call option on AAPL using Agent402's options-analytics skill pack. (1) Get the live quote for the spot price, (2) pull 60 days of history and compute annualized realized volatility, (3) run black-scholes with spot=live price, strike=nearest round number, 30 days to expiry, riskFreeRate=0.05 and the realized vol, (4) search for events before expiry. Report the fair value, all five greeks, and whether the option looks rich or cheap versus the model.

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