BMLL adds SpiderRock options data to expand cross-asset analytics

By Aarav Garg

BMLL has added options analytics from SpiderRock to its Data Lab platform, expanding its cross-asset research capabilities.

The integration has made SpiderRock’s Options Print Set data available alongside BMLL’s historical datasets covering equities, ETFs, futures and US equity options. The combined environment has enabled users to analyse interactions between options markets and underlying cash equities within a single framework.

Elliot Banks, Chief Product Officer, BMLL, said, “At BMLL, we are focused on giving clients access to the data they need to answer increasingly complex cross-asset questions. Making SpiderRock’s options print analytics available in the BMLL Data Lab allows users to combine SpiderRock’s options analytics with detailed historical market data in one environment, helping them accelerate research and generate deeper insight into market dynamics.”

Clients can access options print-level metrics, including implied volatility and Greeks, together with intraday equity data. This has supported research into how dealer positioning, hedging activity and volatility conditions influence price formation and liquidity. The unified dataset has also allowed analysis of how options-driven flows affect spot market behaviour, and how market microstructure shapes options pricing and risk.

Craig Iseli, Chief Operating Officer at SpiderRock, added, “SpiderRock’s options analytics are designed to help market participants better understand volatility and risk. Making this data available through BMLL Data Lab extends that value further, enabling clients to connect options market signals with underlying equity behaviour and supporting more advanced quantitative and market structure research.”

The launch has been accompanied by a joint white paper outlining use cases for cross-asset analysis. The research has demonstrated how integrated datasets can be used to estimate dealer gamma positioning and assess its impact on intraday price movements. It has also shown how short-gamma conditions can amplify market momentum through hedging activity.

The addition forms part of BMLL’s broader strategy to incorporate third-party datasets into its platform. The partnership has aimed to support institutional clients in developing trading strategies and gaining deeper insight into market dynamics across asset classes.