Press Release
Institutional investors now have access to crypto implied volatility surfaces, options analytics, and derivatives market data directly within the Bloomberg Terminal environment.
BLS2 • LIVE
BTC-USD Implied Volatility Surface
How institutional traders, DeFi protocols, exchanges, and AI agents use derivatives intelligence to solve real problems.
On-chain options protocols, perpetual DEXs, lending, structured products, and prediction markets powered by institutional-grade volatility data.
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Hedge funds, asset managers, and prop desks using vol surfaces for systematic strategies and risk management.
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MCP-powered trading agents, research assistants, and autonomous risk monitoring workflows.
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Exchanges and market makers using TWAP settlement and composite vol surfaces.
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Derivatives analytics, vol regime analysis, and institutional risk dashboards.
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Implementation guides for developers and quantitative analysts.
API
REST and WebSocket integration for real-time and historical derivatives data across 22+ exchanges.
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ON-CHAIN
Push and pull-based oracle integration for delivering EIP712-signed volatility data to smart contracts.
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AI-NATIVE
Model Context Protocol tools for AI agents to query derivatives data, discover instruments, and backtest strategies.
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STRATEGY
Cross-asset backtesting mixing options, futures, perpetuals, and spot with theoretical and listed pricing modes.
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TERMINAL
Accessing crypto implied volatility surfaces and derivatives analytics within the Bloomberg Terminal environment.
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BOT
Telegram bot for real-time options pricing, vol surface queries, and perpetual analytics with free and premium tiers.
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The latest coverage featuring Block Scholes across leading industry publications.
Award-winning derivatives research and institutional market analysis.
Everything about Block Scholes products, team, and more!
Block Scholes is an institutional-grade analytics, data, and research platform that provides interactive analytical tools and advanced quantitative models
Block Scholes offers interactive analytics, analysis of spot, futures, and options markets, historical data visualization, and custom charting in a cloud-native desktop environment.
The team at Block Scholes consists of professionals with extensive experience in derivatives structuring and trading, portfolio management, and senior roles at investment banks.
Block Scholes conducts original research, analysis, and market strategy covering digital assets, decentralised finance, derivatives, and macro.
Block Scholes provides institutional-grade analytics and advanced quantitative models, making it a valuable platform for institutional users seeking in-depth market insights and research tools.
Crypto derivatives data encompasses real-time and historical market information on options, futures, perpetual swaps, and other derivative instruments across digital asset exchanges like Deribit, Bybit, and OKX. Institutions need this data for pricing, risk management, portfolio hedging, and strategy development. Key data points include implied volatility surfaces, options Greeks (delta, gamma, vega, theta), funding rates, open interest, term structures, and volatility skew. Block Scholes provides institutional-grade derivatives analytics with SVI-calibrated volatility surfaces, exchange-weighted data quality, and EIP712-signed data points for verifiable authenticity.
Block Scholes uses the Stochastic Volatility Inspired (SVI) model to calibrate volatility surfaces across BTC, ETH, and altcoin options markets. Our proprietary calibration methodology addresses the unique challenges of crypto markets — high volatility, distinctive trading behaviours, and varying liquidity conditions. Exchange weights dynamically shift with market conditions to maintain data quality, and on-demand volatility surface points can be generated for any strike and expiry combination. This reduces development time and complexity for institutional trading desks, structured products teams, and risk management systems.
Implied volatility (IV) reflects the market's forward-looking expectation of price movement, derived from the prices of listed options contracts. Realised volatility (RV) measures the actual historical price fluctuations over a given period. In crypto markets, the spread between IV and RV is a key trading signal. When IV significantly exceeds RV, options may be overpriced, creating opportunities for volatility sellers. When RV exceeds IV, options may be underpriced. Block Scholes tracks both metrics across multiple tenors (7-day, 30-day, 90-day) and provides term structure analytics that highlight inversions and regime shifts.
Perpetual funding rates are periodic payments exchanged between long and short position holders on perpetual futures contracts. When funding is positive, longs pay shorts, indicating bullish sentiment. When negative, shorts pay longs, signalling bearish positioning. Funding rates serve as a real-time gauge of market sentiment and leverage. Institutional traders use funding rate data for carry trades, basis arbitrage, and sentiment analysis. Block Scholes provides funding rate data across major exchanges with historical depth, enabling backtesting of funding-based strategies and cross-exchange comparison.
Block Scholes is a specialist crypto derivatives analytics platform with deep expertise in volatility surface modelling, quantitative research, and options strategy analysis. While Amberdata offers broad coverage across market data, DeFi, and on-chain analytics, and Kaiko focuses on reference rates, indices, and compliance-oriented data, Block Scholes differentiates through its award-winning derivatives research (published in partnership with Bybit), proprietary SVI-calibrated volatility surfaces, UK regulatory permissions, and interactive analytics tools including the BotScholes Telegram bot for real-time options pricing.
Options skew refers to the difference in implied volatility between out-of-the-money puts and calls at the same delta level. A negative skew (put skew) means puts are more expensive than equivalent calls, indicating demand for downside protection and bearish sentiment. A positive skew (call skew) means calls are more expensive, reflecting bullish demand. In crypto markets, skew dynamics shift rapidly around events like FOMC meetings, regulatory announcements, and exchange incidents. Block Scholes tracks skew across delta levels and tenors, providing institutional traders with real-time sentiment indicators.
A volatility term structure inversion occurs when short-dated implied volatility exceeds long-dated implied volatility. Normally, longer-dated options have higher IV due to greater uncertainty. An inversion signals that the market is pricing heightened near-term risk — often around known events like options expiries, regulatory deadlines, or macroeconomic releases. Term structure inversions can present trading opportunities in calendar spreads and are tracked closely by volatility traders. Block Scholes provides term structure analytics across BTC, ETH, and altcoin options with historical data back to 2020.
Yes. Block Scholes provides comprehensive API access to its crypto derivatives data and analytics. The API delivers live and historical data across all covered derivative instruments and markets, including on-demand volatility surface points for any strike and expiry, options Greeks, funding rates, open interest, and more. Exchange weights shift dynamically with market conditions, and every data point includes EIP712 signatures for verifiable quality and authenticity. Block Scholes also offers an MCP (Model Context Protocol) integration for AI-powered analytics workflows.
BotScholes is Block Scholes' Telegram bot that provides real-time crypto options pricing, volatility surface visualisation, and perpetuals market analytics directly within Telegram. Users can price option strategies, explore volatility smiles and skews across listed expiries, and track perpetual markets across multiple exchanges. The bot is free for all users — free tier users receive data on a 24-hour delay, while premium subscribers get real-time access. Join the Block Scholes Telegram community to get started.
Block Scholes provides connectivity to all major crypto derivatives exchanges, with primary coverage including Deribit (the leading crypto options exchange, now a Coinbase subsidiary), Bybit (the world's second-largest exchange by trading volume and Block Scholes' research partner), OKX, Binance, and other major venues. Data coverage includes options (calls and puts across all listed strikes and expiries), perpetual futures (including funding rates and open interest), and dated futures (including term structure and basis analytics). Exchange weights are dynamically adjusted based on market conditions to maintain data quality.
Resource Centre
Explore our comprehensive collection of use cases, research, communications, and guides to get the most out of Block Scholes data and analytics.
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Featured
Press Release
Institutional investors now have access to analytics such as implied volatility surfaces directly within their existing workflows.
Read the announcement →BLS2 • LIVE
BTC-USD Implied Volatility Surface
See how leading institutions leverage Block Scholes data and infrastructure.
Protocols powering on-chain options, lending, and structured products
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Hedge funds, asset managers, and trading desks
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MCP-powered autonomous agents and AI-native workflows
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Exchanges, market makers, and data infrastructure
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Quantitative analysis and risk management
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Deep-dive research and market analysis.
Resource
Understanding SVI-Calibrated Volatility Surfaces
March 8, 2026
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Resource
Crypto Derivatives Market Structure Report Q1 2026
March 1, 2026
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Resource
The Block Scholes Risk Appetite Index Explained
February 20, 2026
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Latest news and press coverage.
Communication
The Data City
Block Scholes Named #1 UK Crypto Company to Watch in 2026
March 4, 2026
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Communication
Bloomberg
Block Scholes x Bloomberg | Cryptocurrency Implied Volatility Data
March 13, 2026
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Communication
Press Release
Block Scholes to Supply Trading Data to Sygnum Bank
December 15, 2025
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Step-by-step tutorials to help you integrate and use our products.
Data API
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Query endpoints like GET /api/v1/iv/surface to retrieve σ(K,τ). Learn to parse the SVI parameterisation a + b[ρ(k−m) + √((k−m)² + σ²)].
Oracle
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Deploy on-chain vol feeds using our Chainlink-compatible oracle. Compute option premiums as P = S·σ·√τ·N'(d₁) inline with each block.
Backtester
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Backtest delta-hedged straddles with P&L = Σᵢ[Δᵢ·(Sᵢ₊₁−Sᵢ) + ½Γᵢ·(Sᵢ₊₁−Sᵢ)² − θᵢ·Δt] across historical paths.
Bloomberg
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Navigate to BSCH <GO> for crypto IV surfaces. Use BSCH1 for vol term structure σ(τ) at fixed moneyness, BSCH2 for the smile σ(K) at fixed tenor.