Block Scholes x Bloomberg | Cryptocurrency Implied Volatility Data

Block Scholes cryptocurrency implied volatility data is now available through the Bloomberg Terminal, bringing institutional-grade crypto options intelligence into an established market data environment.

March 13, 2026

Crypto Volatility Data on Bloomberg


Block Scholes now contributes institutional-grade implied volatility data for cryptocurrency options markets to Bloomberg. Constructed with a focus on institutional quality, the dataset is designed to robustly track the largest cryptocurrency options markets in real time. It enables professional traders, risk managers and quantitative analysts to price derivatives, assess market sentiment and manage portfolio risk in the digital asset space, with the convenience, power and flexibility of Bloomberg workflows.

By bringing Block Scholes cryptocurrency volatility data into Bloomberg, institutions can access BTC and ETH options intelligence within an established market data environment. The integration makes it easier to monitor volatility surfaces, compare skew and term structure, and work with forward levels alongside broader market workflows. For firms active in digital assets, it provides a direct route to high-quality crypto derivatives data inside the Bloomberg Terminal.

Access

Block Scholes provides Bloomberg complete volatility surfaces for ETH & BTC across key tenors ranging from 1 week to a year. Which are available as a Live stream* (BSL1) or 3 snapshots a day (BSL2). Our data is constructed using the Stochastic Volatility Inspire (SVI) parametrization model as a Composite aggregate of the largest options markets at the time of delivery with data available in both Call/Put format and Risk-Reversal/Butterfly conventions for flexibility.

Surface Parameters
Parameter Values
Underlying assets Bitcoin (BTC); Ethereum (ETH)
Tenors 1 Week (7 days); 1 Month (30 days); 3 Months (90 days); 6 Months (180 days); 9 Months (270 days); 1 Year (365 days)
Delta levels ATMF; 25D; 10D; 5D
Bitcoin (BTC) – Key Tickers
Metric 1-Month Example 3-Month Example
ATMF Vol XBTUSDV1M Curncy XBTUSDV3M Curncy
25D Risk-Reversal XBTUSD25R1M Curncy XBTUSD25R3M Curncy
25D Butterfly XBTUSD25B1M Curncy XBTUSD25B3M Curncy
10D Risk-Reversal XBTUSD10R1M Curncy XBTUSD10R3M Curncy
10D Butterfly XBTUSD10B1M Curncy XBTUSD10B3M Curncy
Forward Price XBT+1M Curncy XBT+3M Curncy
Ethereum (ETH) – Key Tickers
Metric 1-Month Example 6-Month Example
ATMF Vol XETUSDV1M Curncy XETUSDV6M Curncy
25D Risk-Reversal XETUSD25R1M Curncy XETUSD25R6M Curncy
25D Butterfly XETUSD25B1M Curncy XETUSD25B6M Curncy
10D Risk-Reversal XETUSD10R1M Curncy XETUSD10R6M Curncy
10D Butterfly XETUSD10B1M Curncy XETUSD10B6M Curncy
Forward Price XET+1M Curncy XET+6M Curncy

Block Scholes cryptocurrency implied volatility data found on Bloomberg is designed for professional traders pricing cryptocurrency options and volatility strategies, risk managers assessing skew, smile and demand for tail-risk protection, quantitative analysts building models, screens and systematic workflows around crypto derivatives and many more individuals across the digital assets space.

* Please contact us to gain access to BSL1 via Bloomberg.