Morgan Stanley Explores Using AI to Better Trade Equities
The bank is also looking at using AI for intelligent IOI suggestions based on clients’ trading profiles.
Morgan Stanley is exploring various ways that artificial intelligence can be used to help clients better trade in equities.
Kerr Hatrick, executive director and quantitative strategist at Morgan Stanley Asia, said that the bank is trying to figure out how to best use various forms of AI—namely, machine-learning techniques—to make suggestions as to which algorithms to use to trade equities in a particular market condition.
“We are also interested in looking at the problem whether last night’s
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: https://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
Citi reveals Custody+, AI API security scare, 23/5 trading in Canada, and more
The Waters Cooler: A recap of the major tech and data news from the past week in the capital markets.
API security flaw highlights AI model vulnerabilities
Researchers uncover a way to make weaker AI models reveal the hidden reasoning of more powerful systems.
On vibe coding, no/low-code dev, and some potential misconceptions
The Waters Wrap: Is no-code/low-code even a thing anymore? Not really. But the companies that championed those terms just a few years ago tell Anthony they aren’t going anywhere.
Repo tokens won’t be cleared. Or will they?
Uncertainty lingers over clearing status of tokenized Treasuries, with decision likely devolved to DTCC.
AI startups get big-name investors, SEC denies 24X’s exemption request, and more
The Waters Cooler: A recap of the major tech and data news from the past week in the capital markets.
Rapid-fire repo raises hopes of cheaper, faster trading
Tokenized Treasuries piloted by DTCC could squash settlement cycles and enable 24/7 repo.
Stopgaps and fail-safes: How trading vendors guard against rogue AI agents
TradeStation’s newest trading tool, Titan-X, uses agentic tools to help plan, execute, and collect data on trades.
A rookie’s guide to tokenized Treasuries
What are DTCC’s digital US government debt securities? How do tokenized repo and other transactions work? These questions, and others, answered.