Opening Cross: Communicate Clearly and Be on Your Best ‘Behavior’

This week, I got a small taste of what it’s like to be a market data manager calculating the cost of new exchange fees, as I tried to decipher the impact of new fees that Direct Edge plans to introduce this May, and to understand who qualifies as a recipient, an internal distributor, and an external distributor under the exchange’s definitions.
Fortunately, no big investment bank will ever entrust me with its data budget, and the guys at Direct Edge were not only helpful in clarifying how the new fees will work, but were also prompt about it—not that I’d expect anything less from an exchange run by former head of Nasdaq market data Bill O’Brien, who also occupies the cover of March’s Waters magazine.
This type of timely, informative communication between suppliers and customers is not only key to effective market data management, according to a panel at last week’s FISD Issue Brief in New York, but is becoming increasingly important in light of the amount of information that data professionals must process and respond to on a daily basis.
On the FISD panel, exchange, vendor and end-user executives debated the best and worst ways of providing information about information provision, and it became clear that there’s a need for some form of standardization of exchange and vendor communications. Perhaps this will be addressed by exchanges or industry groups such as FISD, or perhaps this will be a logical next step for those who operate and maintain databases of exchange policies, such as Ballintrae, Spearhead and Partners, or even the Niagara consortium database set up by French user group Cossiom.
But to sum up the discussion, too much communication is as worthless as none at all, and all parties must keep their communications simple.
Of course, achieving simplicity in an industry with datasets as complex as the financial markets is an often-strived-for but rarely-achieved goal. But that’s what Bloomberg is aiming for with a new set of features dubbed Bloomberg Next, which consolidate previously disparate datasets into a series of overviews by asset class and function, enabling users to get a broad view of a particular topic that they would previously have needed to compile from separate pages.
So what’s next (no pun intended)? Perhaps terminals that “learn” from their users’ past activity to display information that they “think” will be of interest to a trader looking at a particular piece of data—much as search engines filter results based on location and browsing history, or how Pandora Radio or Tivo present songs or shows based on others that you’ve given a “thumbs up” or “thumbs down” in the past.
After all, behavioral analytics are already used in other areas as additional inputs to trading decisions, such as Insider Insights and Recorded Future, whose analysis of the impact of insider deals and information on market sentiment related to particular events, respectively, have been incorporated by Titan Trading Analytics into its stream of behavioral indicators. In addition to these, Titan is already working with behavioral finance research and analysis provider MarketPsych, which is adapting its systems to process events and sentiments from Chinese media, given China’s influence on other global markets—particularly commodities. And if Market News International’s latest China Business Sentiment Survey—which shows improving sentiment for Chinese companies—is anything to go by, Asia will continue to be a key indicator that firms must take into account, with new analytics and sentiment tools covering the region likely to become more popular.
And of course, it’s when dealing with exchanges and content sources in these emerging market economies that communication is most important. Hence, I’m always glad that I just have to wax lyrical about these issues, and can leave the “doing” to the real professionals.
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
BlueMatrix acquires FactSet’s RMS Partners platform
This is the third acquisition BlueMatrix has made this year.
Waters Wavelength Ep. 331: Cresting Wave’s Bill Murphy
Bill Murphy, Blackstone’s former CTO, joins to discuss that much-discussed MIT study on AI projects failing and factors executives should consider as the technology continues to evolves.
FactSet adds MarketAxess CP+ data, LSEG files dismissal, BNY’s new AI lab, and more
The Waters Cooler: Synthetic data for LLM training, Dora confusion, GenAI’s ‘blind spots,’ and our 9/11 remembrance in this week’s news roundup.
Chief investment officers persist with GenAI tools despite ‘blind spots’
Trading heads from JP Morgan, UBS, and M&G Investments explained why their firms were bullish on GenAI, even as “replicability and reproducibility” challenges persist.
Wall Street hesitates on synthetic data as AI push gathers steam
Deutsche Bank and JP Morgan have differing opinions on the use of synthetic data to train LLMs.
A Q&A with H2O’s tech chief on reducing GenAI noise
Timothée Consigny says the key to GenAI experimentation rests in leveraging the expertise of portfolio managers “to curate smaller and more relevant datasets.”
Etrading wins UK bond tape, R3 debuts new lab, TNS buys Radianz, and more
The Waters Cooler: The Swiss release an LLM, overnight trading strays further from reach, and the private markets frenzy continues in this week’s news roundup.
AI fails for many reasons but succeeds for few
Firms hoping to achieve ROI on their AI efforts must focus on data, partnerships, and scale—but a fundamental roadblock remains.