New Take on Trading Technology: How to Navigate the Cloud-Tech Arms Race
Written By: Guy Melamed
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We’re on the cusp of a new arms race. That is the description given to the phenomenon involving the world’s largest cloud service providers competing to invest into the largest financial exchanges. Last year, Microsoft announced an investment of £1.5 billion in London Stock Exchange Group (LSEG) to provide the exchange with data analytics, cloud infrastructure products, and custom Gen-AI models. Before this, Nasdaq partnered with Amazon Web Services to build the “next generation of cloud-enabled infrastructure” and Google invested $1 billion into CME Group.
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All Markets Rise: Maximising Exchange Profit by Modernising Across All Sectors
Imagine a scenario in which a large, successful financial exchange is making profits across all its markets alike, from equities, fixed income and derivatives, to commodities and FX. Yet, sadly, this vision is far from reality. Oftentimes smaller and less liquid markets, such as for fixed income and derivatives, find it difficult to obtain the modernisation of infrastructure they need, even when it is just a simple feature request.
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The topic of AI has been the subject of a number of panels at recent industry events attended by Exberry. We thought it would be helpful to provide a snapshot of some of the leading thinking on AI, particularly how it is predicted to affect regulated exchanges.
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A few weeks ago, along with my colleagues, I attended the WFEClear 2024 Conference in Madrid, which focused on clearing and derivatives. Many relevant topics were discussed in the well-attended event and, specifically, I noted the panel on “Practicalities of DLT and Clearing” explored advancements in distributed ledger technology and its potential intersection with central clearing.
