The London Stock Exchangehas acquired a controlling stake in rival trading business Turquoise, in a further aggressive step to slash trading times and catch up with newer rivals. The merger follows the LSE’s £18 million acquisition of MillenniumIT in September, a move that was aimed at replacing its troubled TradElect platform with a faster, Linux-based setup. The LSE will take a 60 percent stake in Turquoise, which houses a ‘dark pool’ trading platform centred on trading large blocks of shares. Turquoise will be merged with the LSE’s equivalent business, known as Baikal. SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe David Lester, the LSE’s combative head of IT who has been working to slash sluggish trading speeds, is expected to become head of the new unit, which will retain the Turquoise name. Turquoise was launched a year ago by a consortium of banks – including UBS, Goldman Sachs, Merrill Lynch, Citigroup, Credit Suisse and Morgan Stanley – specifically in order to provide a strong rival against the LSE’s dominant market position. Efficiency gains from combining technology with existing LSE infrastructure and the new MillenniumIT setup, would be a clear benefit from the merger, the LSE said. Xavier Rolet, chief executive at the LSE, said the merger meant the LSE could offer “an attractive range of innovative and competitively priced products and services across Europe”. The introduction of some of the LSE’s “new trading technology” to Turquoise would help the business grow in the coming years, he said. The LSE expects to write off £20 million worth of exceptional costs from its books in the next year, primarily consisting of technology, as it merges the businesses. Related content feature Mastercard preps for the post-quantum cybersecurity threat A cryptographically relevant quantum computer will put everyday online transactions at risk. Mastercard is preparing for such an eventuality — today. By Poornima Apte Sep 22, 2023 6 mins CIO 100 CIO 100 CIO 100 feature 9 famous analytics and AI disasters Insights from data and machine learning algorithms can be invaluable, but mistakes can cost you reputation, revenue, or even lives. These high-profile analytics and AI blunders illustrate what can go wrong. By Thor Olavsrud Sep 22, 2023 13 mins Technology Industry Generative AI Machine Learning feature Top 15 data management platforms available today Data management platforms (DMPs) help organizations collect and manage data from a wide array of sources — and are becoming increasingly important for customer-centric sales and marketing campaigns. By Peter Wayner Sep 22, 2023 10 mins Marketing Software Data Management opinion Four questions for a casino InfoSec director By Beth Kormanik Sep 21, 2023 3 mins Media and Entertainment Industry Events Security Podcasts Videos Resources Events SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe