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Upcoming Webinar: The Data Foundation for Alpha – How fragmented data is eroding hedge fund performance

Date: 23 June 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Alpha depends on more than models, talent and execution. It depends on the quality, consistency and timeliness of the data behind every investment decision. Many hedge funds still operate with fragmented datasets, inconsistent identifiers and manual reconciliation processes that…

Upcoming Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

Date: 20 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining…

Now the MCP Layer is Commoditised, Are Entitlements the Next Challenge?

LSEG today added Amazon Quick to the growing list of AI-enabled workspaces in which its licensed data and analytics are exposed via a Model Context Protocol (MCP) server, with customers gaining access through natural-language and agentic queries to pricing, fundamentals, estimates, ownership data, macroeconomic indicators, ESG and analytical models. The move is the latest step…

Alternative Data Grows Up: ADC London 2026 Turns to Operational Reality

For most of the past decade, alternative data conferences have asked the same underlying question in slightly different language: does this stuff actually produce alpha? The answer, settled some time ago for institutional buyers willing to do the work, has shifted the conversation. The questions on the agenda for the London edition of the Eagle…

ExtractAlpha Relaunches AlphaClub Research Workspace with Expanded Signal Coverage

ExtractAlpha has relaunched AlphaClub, its research workspace for investment professionals evaluating the firm’s quantitative stock selection signals and alternative datasets. The update introduces a redesigned interface, broader international coverage, and a workflow-oriented structure aimed at making signal discovery and evaluation more efficient. The platform is positioned as an environment where hedge fund analysts, portfolio managers,…

Inside Bloomberg’s ASKB Roadmap: the Data Moat Behind the AI

When Bloomberg unveiled its 2026 roadmap for ASKB on 16 April, the headline framing was the evolution of the conversational AI interface – now in beta – from a discovery tool into “a deeply integrated engine for institutional intelligence.” Beneath that framing sits a substantial set of integrations: ASKB will work directly with Portfolio &…

When Everyone Has LLMs, Who do Quants Still Hire?

The democratisation of alternative data has been a recurring theme at industry conferences for several years. The arrival of capable large language models has accelerated it. Datasets that once required specialist teams to ingest and structure can now be parsed by anyone with a reasonable prompt; signals that once took weeks to extract can be…

BMLL Integrates SpiderRock Options Analytics into Data Lab Environment

BMLL has expanded its cross-asset research capabilities by making SpiderRock’s Options Print Set data available through the BMLL Data Lab. This integration allows institutional clients to analyse the relationship between options markets and underlying cash equity behaviour within a single, unified framework. By combining SpiderRock’s print-level analytics with BMLL’s historical data, users can better evaluate…

xyt Layers Natural-Language AI onto Trading Data Platform as Race for AI-Ready Analytics Intensifies

xyt, the independent trading data intelligence platform formerly known as big xyt, has introduced a set of AI-powered capabilities designed to let clients query its datasets in natural language, integrate its data into their own AI environments, and generate executable analytical outputs from a prompt. The announcement positions the firm in an increasingly crowded field…

Beyond the Benchmark: Bloomberg Extends BCOM for a Fragmented Commodity Market

When the Bloomberg Commodity Index (BCOM) was launched in 1998, the architecture made sense for its time. Liquidity in commodity futures was concentrated in North American contracts denominated in US dollars, and the methodology was built accordingly. Twenty-eight years later the way global commodity markets operate and the way institutional investors want to access them…