Opening Cross: Carry On Demanding
A more demanding client base demands more on-demand data.

Now, clients are demanding the ability to access more content on-demand. And data providers are responding.
For example, the Depository Trust & Clearing Corp., under the direction of chief data officer and former NYSE head of market data Ron Jordan, is putting the finishing touches to a platform that will allow it to provide access to its data on an “as-a-service” basis and create more flexible offerings and price points. This means the clearer can offer more granular datasets instead of a one-size-fits-all/take-it-or-leave-it approach of offering large datasets where few may want the entire content they contain, and provide sub-sets of that data in response to clients’ specific requirements. This not only means that clients get what they want and not what they don’t, avoiding the stress on their systems of handling large datasets when just a fraction of that will meet their needs, but it also allows them to pay only for what they want and not what they don’t.
Meanwhile, Thomson Reuters has built a family of new, open-source APIs for its real-time content and TREP (Thomson Reuters Enterprise Platform—formerly RMDS) data platform that will make it easier for firms to integrate content from the vendor and alternative suppliers alongside one another, using the same Thomson Reuters data formats, or to plug in other vendors’ transport layers yet still present the data using a consistent data format that corresponds to their existing content from Thomson Reuters. While not strictly an on-demand access initiative, the move—which officials say is not designed to fend off potential competition from web services data providers, for example, but to open up new user bases among those who may not have the resources to work with its old APIs—will certainly make it easier for clients to mix and match content and platforms in a more “on-demand” manner.
All this is a far cry from data as they knew it in John Sussex’s time on the Liffe trading floor, when the main sources of price data were the pit display boards and someone shouting a quote, when sentiment analysis was gauging the buzz of activity on the floor, and when “on-demand data” meant asking someone for a price.
In an Open Platform, Sussex describes the disruptive effect of Liffe rolling out its first electronic trading system, and the impact it had on floor traders now forced to work via computer terminals (such as trying to talk into a mouse) or to take their skills to other open-air marketplaces. This disruptive catalyst brought change for all—good for many, and tough for others. And the disruptive effect of on-demand pioneers such as Xignite has made data consumers and vendors realize that old models can change and old molds can be broken, and which has forced change.
At a conference nearly 10 years ago, I recall a presentation on the potential for pay-as-you-go data. Achieving this goal is not just a matter of vendors changing their licensing models to make it commercially possible, but also delivering the technology infrastructures to make it a reality. And while the industry isn’t quite there yet, with new vendors offering disruptive commercial models, and platform providers offering more granular datasets and API access, we’re closer than ever.
We’re also pretty close to summer vacation season, so IMD will take a break from publishing a printed issue next week, returning on July 20. But to sate your demand for market data news, keep up-to-date at insidemarketdata.com, which we’ll continue to update as usual throughout the week. Bon voyage!
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.