TradingTech Summit London brings together the capital markets trading technology and market data industry to deep dive into the opportunities and challenges driving technology change and transformation across the sell side and buy side. The event features topics such as modernising infrastructure for continuous, T+1 Markets, AI integration, high performance…
Programmed at TradingTech, in alphabetical order.
The companies behind the program. Tiers as disclosed.
Selected from 10 sessions.
Discussion on the buy vs. build debate, ROI of composable architecture, integration of disparate systems, APIs/interoperability, low-code acceleration, and process automation.
Covers real use cases for AI in trading, scaling from pilots to architecture, risk management and explainability, buy vs. build for AI, and addressing talent gaps.
Focus: status of quantum for trading, operational readiness for quantum, cryptographic risk, AI-driven attacks, and steps towards quantum and crypto assets.
Examines pan-European markets, Consolidated Tape/EuroCTP, operational friction of settlement cycles, PFOF ban, and retail participation in derivatives.
Discusses speed vs. data integrity, advances for execution edge, monitoring/observability tools, AI/ML for performance, reg compliance for DORA, TCO of various platforms.
Turning market data into revenue products, data quality/discoverability, buy vs. build analytics, structuring alt/unstructured data, LLMs/AI, organisation shift.
Explores implications of tokenisation, 24/7 markets, netting removal, exchange evolution, regulatory shifts, and trust in code vs. legal frameworks.
Discussion points: market structure evolution, the intelligent desk, dynamic decision making with AI, data as the new Alpha, human-machine synergy and upskilling for AI-literate tr…
What does it mean when 46 companies show up, and 7 bet on three roles at once?
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