Machine Learning will Create New Sales Bots on Trading Desks
Technologists are working to automate indications of interest from trading desks, according to UBS’s head of machine learning.
Trading is moving to a point where there is almost no human involvement, as market participants employ algorithms that generate – and respond to – indications of interest (IOIs), according to Giuseppe Nuti, head of machine learning at UBS.
“I imagine that in the next few years, we’re going to see a lot more approaches coming up. So much so that it will even be algorithmic-to-algorithmic IOIs, almost removing the human component,” Nuti said.
Market-makers issue IOIs, or ‘axes’, to signal
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.
You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
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. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@waterstechnology.com
More on Emerging Technologies
BMO’s cloud migration strategy eases AI adoption
The Canadian bank is embracing a more digital future as its cloud strategy makes gains and it looks to both traditional machine learning and generative AI for further augmentation.
Waters Wrap: GenAI and rising tides
As banks, asset managers, and vendors ratchet up generative AI experiments and rollouts, Anthony explains why collaboration between business and tech teams is crucial.
Ice moves to meet demand for greater cloud, AI capabilities
The exchange also outlined competitive advantages behind managing its data and cloud strategy internally during its Q1 earnings call on Thursday.
FactSet looks to build on portfolio commentary with AI
Its new solution will allow users to write attribution summaries more quickly and adds to its goal of further accelerating discoverability, automation, and innovation.
How Ally found the key to GenAI at the bottom of a teacup
Risk-and-tech chemistry—plus Microsoft’s flexibility—has seen the US lender leap from experiments to execution.
The IMD Wrap: Beginning of the end for data audits?
This week, there’s exciting news for data bean-counters in the form of a partnership between two vendors that could change the way we view and track data usage and audits.
S&P debuts Spark Assist genAI copilot, draws up ‘Blueprints’ of combined datasets
S&P’s Kensho subsidiary has rolled out new emerging tech products leveraging AI to explore and combine the vendor’s wealth of datasets to solve common use cases.
Most read
- Northern Trust building internal cloud data ‘marketplace’
- Chris Edmonds takes the reins at ICE Fixed Income and Data Services
- Women in Technology & Data Awards 2024: All the winners and why they won