Nasdaq Boosts Surveillance with Machine Learning
Nordic markets build machine-learning algos into surveillance architecture to help prioritize workflows.
The machine learning-enhanced algorithms have been deployed across Nasdaq markets in Stockholm, Copenhagen, Helsinki and Iceland. They have been designed to provide predictive signals, based on historical data, which should indicate to market supervisors when trading is likely to be in line with market movements and what should be considered worthy of further investigation.
As part of this, the exchange operator is examining how past behavior from surveillance analysts—and their reactions to
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Emerging Technologies
EU banks want the cloud closer to home amid tariff wars
Fears over US executive orders have prompted new approaches to critical third-party risk management.
Growing pains: Why good data and fortitude are crucial for banks’ tech projects
The IMD Wrap: Max examines recent WatersTechnology deep dives into long-term technology projects at several firms and the role data plays in those efforts.
Waters Wavelength Ep. 317: Bitdefender and Transilvania Quantum
This week, Bitdefender’s Adrian Coleșa and Transilvania Quantum’s Sorin Boloș join to discuss security vulnerabilities in quantum computing.
Investing in the invisible, ING plots a tech renaissance
Voice of the CTO: Less than a year in the job, Daniele Tonella delves into ING’s global data platform, gives his thoughts on the future of Agile development, and talks about the importance of “invisible controls” for tech development.
Evalueserve tames GenAI to boost client’s cyber underwriting
Firm’s insurance client adopts machine learning to interrogate risk posed by hackers
Waters Wavelength Ep. 316: Finbourne Technology’s Toby Glaysher
This week, Toby Glaysher, chairman at Finbourne Technology, joins the podcast to discuss the asset servicing industry.
State Street’s interop play for FX and easing technical debt
Waters Wrap: About six years ago, State Street partnered with Interop.io to tie together its GlobalLINK suite of platforms. Anthony explores how this plays into the “reuse” mantra.
As costs rise, buy-side CIOs urge caution on AI
Conference attendees encouraged asset managers to tread carefully when looking to deploy AI-driven solutions, citing high cost pressures.
