Object Trading Integrates DMA Platform with TradingScreen Infrastructure
Partnership to optimize efficiency and interaction between buy side, sell side and exchanges.
The partnership between Object Trading and TradingScreen aims to improve efficiency and interaction between the buy side, sell side and exchanges, allowing users to deploy trading models without the cost of maintaining high-performance global trading infrastructures, as well as improving access to liquidity.
Current Object Trading direct market access participants can add the software-as-a-service (SaaS) order management system (OMS) to their desks.
"The low rate, volume, and volatility environment is challenging for both our buy-side and sell-side customers, yet every firm wants to deliver returns and trade profitably across different markets, asset classes, and geographies," said Philippe Buhannic, co-founder and CEO of TradingScreen, in a statement. "By partnering with Object Trading, we offer clients global direct market access, optimized for the demands of the highest performing front office applications, saving them the time and costs of integration."
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
Tape bids, algorithmic trading, tariffs fallout and more
The Waters Cooler: Bloomberg integrates events data, SimCorp and TSImagine help out asset managers, and Big xyt makes good on its consolidated tape bid in this week’s news roundup.
DeepSeek success spurs banks to consider do-it-yourself AI
Chinese LLM resets price tag for in-house systems—and could also nudge banks towards open-source models.
Standard Chartered goes from spectator to player in digital asset game
The bank’s digital assets custody offering is underpinned by an open API and modular infrastructure, allowing it to potentially add a secondary back-end system provider.
Saugata Saha pilots S&P’s way through data interoperability, AI
Saha, who was named president of S&P Global Market Intelligence last year, details how the company is looking at enterprise data and the success of its early investments in AI.
Data partnerships, outsourced trading, developer wins, Studio Ghibli, and more
The Waters Cooler: CME and Google Cloud reach second base, Visible Alpha settles in at S&P, and another overnight trading venue is approved in this week’s news round-up.
Are we really moving on from GenAI already?
Waters Wrap: Agentic AI is becoming an increasingly hot topic, but Anthony says that shouldn’t come at the expense of generative AI.
Cloud infrastructure’s role in agentic AI
The financial services industry’s AI-driven future will require even greater reliance on cloud. A well-architected framework is key, write IBM’s Gautam Kumar and Raja Basu.
Waters Wavelength Ep. 310: SigTech’s Bin Ren
This week, SigTech’s CEO Bin Ren joins Eliot to discuss GenAI’s progress since ChatGPT’s emergence in 2022, agentic AI, and challenges with regulating AI.
