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Black-Scholes Option Pricing

The Nobel-winning formula that built the modern derivatives market. Price an option from five inputs and see how the Greeks measure its every sensitivity.

Black-Scholes Option PricingLive

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The Black-Scholes formula prices a European option from spot, strike, time, rate, and volatility. The Greeks measure sensitivity: delta to price, gamma to delta, vega to volatility, theta to time decay. Educational tool — not investment advice.

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Data Inspector

Call price$8.01
Put price$6.03
Delta (call)0.580
Gamma0.0221
Vega (per 1%)0.276
Theta (per day)-0.024

Governing equation

Reading this result: Spot 100 vs strike 100 makes this call at-the-money (intrinsic value 0.00). A higher volatility σ (now 25%) and a longer time to expiry (now 0.50 yr) both raise the option's value by adding time value — more room for the underlying to finish favorably. As the option moves deeper in-the-money its delta approaches 1 and it behaves like the underlying itself.

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How it works

The Black-Scholes model gives the fair value of a European option from spot price, strike, time to expiry, risk-free rate, and volatility. The Greeks — delta, gamma, vega, theta, rho — quantify how that value responds to each input, and are the language of options hedging. This is an educational tool, not investment advice.

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Frequently asked questions

Is this Black-Scholes calculator tool really free?▾
Yes. Black-Scholes Option Pricing runs entirely in your browser using your device's own compute, so local use is free forever. You only pay Compute Tokens if you scale a job to the cloud.
Do I need to install anything?▾
No. Everything runs client-side in a modern browser — no downloads, no license, no account required to start.
Can I save or share my simulation?▾
Create a free account to save projects, and use a shareable embed or minted DOI to publish a live, interactive version anywhere.
How accurate are the results?▾
The solver uses established numerical methods, but results are for research and educational purposes and should be validated against experiment or professional review before you rely on them.