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A-Team Insight Briefs

QuantHouse Adds SpiderRock Data and Analytics to API Ecosystem

18 September 2019
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QuantHouse has added SpiderRock Gateway Technologies’ proprietary data and analytics service including implied volatility and option prints to the 150+ data sources available through QuantHouse API. SpiderRock provides option analytics as a service delivered in a normalised binary format. As part of the offering, the company delivers implied volatility, greeks, risk slides, and volatility surfaces across US-listed equity and futures derivatives in a real-time feed that allows institutional clients to develop and enhance trading and risk management systems.

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Related content

WEBINAR

Recorded Webinar: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of this transition are improved operational efficiency as manual processes are replaced by faster, more accurate automated...

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Exegy Acquires NovaSparks to Accelerate Convergence at the FPGA Layer

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14 January 2026
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EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

01 October 2026
RegTech Insight
GUIDE

Enterprise Data Management, 2009 Edition

This year has truly been a year of change for the data management community. Regulators and industry participants alike have been keenly focused on the importance of data with regards to compliance and risk management considerations. The UK Financial Services Authority’s fining of Barclays for transaction reporting failures as a result of inconsistent underlying reference...

27 October 2009
Data Management Insight