Buy one, get one free: Algos learn to multi-task

For years, brokers have offered suites of algorithms, each geared toward a certain strategy and outcome. Now, firms are compressing these into multifaceted algorithms that can switch between different strategies or markets in response to trading circumstances.

Trading algorithms have been a key part of investment firms’ toolkits for more than two decades. And for almost as long, the biggest sell-side firms have offered suites of algorithms to their tier-two bank clients and buy-side firms, with Credit Suisse’s AES business and Deutsche Bank’s Autobahn platform being early pioneers in this space.

But now, smaller firms and startup brokers are driving the biggest innovative leaps in algo development—and the latest innovation is algos that encompass

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Back to basics: Taxonomies, lineage still stifle data efforts

Voice of the CDO: While data professionals are increasingly showing their value when it comes to analytics and AI adoption, their main job is still—crucially—getting a strong data foundation in place. That starts with taxonomies and lineage.

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