Options Analytics
Cboe's Theoretical Option Pricer delivers a real-time theoretical price and full Greeks for listed, FLEX, and hypothetical options, without the cost or complexity of building an in-house pricing model.
Request Free TrialBuilt from a multi-model framework with real-time parameter calibration — including SABR, Merton Jump-Diffusion, and Mixture Models — to capture the full complexity of market dynamics. Detailed methodology documentation available upon request.
Price one or multiple contracts in a single request for a given underlier, including non-executed and hypothetical structures.
Delivered as a RESTful API endpoint that integrates seamlessly into existing workflows and systems with minimal development overhead.
Historical analysis is available dating back to March 2022.
Step 1
Symbol, strike, expiration, and option type
Step 2
Continuously calibrated in real time, not a stale end-of-day snapshot
Step 3
Cboe's multi-model volatility framework: SABR, Merton Jump-Diffusion, and Mixture Models
Step 4
Ready to trade, hedge, quote, or report on: for listed, FLEX, or hypothetical options
https://api.cboe.com/analytics/v1/theo-pricer/?symbol=SPX&strike=5000&expiration=2026-12-18&type=call{
"symbol": "SPX",
"strike": 5000,
"expiration": "2026-12-18",
"type": "call",
"theoreticalPrice": 142.35,
"impliedVolatility": 0.184,
"delta": 0.52,
"gamma": 0.0021,
"vega": 18.42,
"theta": -3.15,
"timestamp": "2026-08-20T14:32:01.012Z"
}No files to move, no batch jobs to schedule. Query the Theoretical Option Pricer directly over REST pass a symbol, strike, expiration, and option type, and get back a real-time value you can act on.
Cost benefit and mark to model analysis to support evaluation of custom FLEX versus listed options, including modeling of return, theta, and volatility exposure where public quotes are unavailable.
Real time theoretical pricing to support FLEX option quoting, delta hedging, and volatility surface calibration in active trading environments.
Custom hedge evaluation and performance attribution to assess FLEX strategies against listed alternatives, including strategy backtesting and risk and return analysis.
Structured product pricing and client advisory to support risk transfer pricing, product structuring, and institutional guidance on FLEX execution.
Volatility strategy research and Greeks generation, with custom implied volatility surfaces supporting model driven strategies such as volatility trading, dispersion, and skew positioning.
Risk margining and stress testing supported by theoretical pricing models, enabling fair value reporting and robust margin frameworks for FLEX contracts.
Let us know how we can help and we'll have a Cboe Data Vantage expert reach out to you.