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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 infrastructure can take months and absorb significant budget before a single model is tested. At the...
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By Ivan Kunyankin, Data Science Team Lead at Devexperts. We’re now three and a half years since LLMs burst into the mainstream, following the public release of ChatGPT at the close of 2022. It would go on to be the fastest growing consumer application in history, amassing more than 100 million users in two months....
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Eagle Alpha Alternative Data Conference, Spring, New York, hosted by A-Team Group
Now in its 9th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.
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AI in Capital Markets Handbook 2026
AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...


