Market fragmentation drives demand for smarter liquidity-seeking models
Growing market fragmentation and the rise of off-book trading are challenging traditional buy-side trading analytics, says Henry Yegerman, TCA product lead at ISS LiquidMetrix.
Speaking at TradeTech Amsterdam, Yegerman discusses where lit market trading volumes have fallen while off-book liquidity has risen, complicating price discovery and performance measurement. He looks at where transaction cost analysis is evolving beyond averages toward predictive analytics and shares his views on how deep learning models are playing a growing role in the future of data analytics, trading decisions, and optimizing execution strategies in increasingly complex markets.
In this episode:
📌 Off-book trading and the growing challenges of price discovery
📌 Are traditional data models outdated?
📌 How can you turn measurement into action?
📌 No one size fits all for TCA—so what’s the solution?
📌 Enter AI – how is AI and deep learning set to play a role?
TradeTech is hosted by Worldwide Business Research (WBR)
