Machine Learning: On the Ground Floor, Ready to Rise
While much of the talk about machine-learning technology in capital markets is overblown, there’s no question that these tools are set to become increasingly prevalent over the coming years. Anthony Malakian takes stock of where the industry stands based on actual implementations.
Lun began trading, trying out ideas from his own work in computational biology and developing new methods geared toward finance. It took six years to develop the core of the platform that would eventually power his hedge fund, Taaffeite Capital Management, an Australia-based outfit that Lun, who also teaches plant biology and computer science at Rutgers University, co-founded with Howard Siow.
Pronounced “tah-fight,” the hedge fund is named after a precious gemstone discovered in 1945 by
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 Trading Tech
Market data woes, new and improved partnerships, acquisitions, and more
The Waters Cooler: BNY and OpenAI hold hands, FactSet partners with Interop.io, and trading technology gets more complicated in this week’s news round-up.
Asset manager Fortlake turns to AI data mapping for derivatives reporting
The firm also intends to streamline the data it sends to its administrator and establish a centralized database with the help of Fait Solutions.
The murky future of buying or building trading technology
Waters Wrap: It’s obvious the buy-v-build debate is changing as AI gets more complex, but Anthony wonders how trading firms will keep up.
FactSet lays out trading roadmap post LiquidityBook deal
The software and data provider announced it was buying LiquidityBook this month, filling a gap in its front-office suite of solutions.
BlackRock tests ‘quantum cognition’ AI for high-yield bond picks
The proof of concept uses the Qognitive machine learning model to find liquid substitutes for hard-to-trade securities.
The future of trading takes shape
The future of trading across the capital markets and the drivers likely to shape the ever-evolving industry
On GenAI, Citi moves from firm-wide ban to internal roll-out
The bank adopted three specific inward-facing use cases with a unified framework behind them.
FactSet-LiquidityBook: The buy-side OMS space continues to shrink
Waters Wrap: Anthony spoke with buy-side firms and industry experts to get a feel for how the market is reacting to this latest tie-up.
