FIX Releases Version 1.0 of Simple Binary Message Encoding
The encoding will support high performance demands in transactions and market data feeds.
Advancements in the speed of hardware, software and network connections prompted FIX to examine the current version of the FIX Protocol (the electronic communications protocol for real-time exchange of information related to the securities transactions) and address how the requirements for new financial applications such as high-frequency trading and market data can be met.
"FIX is a protocol which has been out there for twenty years now, which used the best technology of twenty years ago. The representation of messages on the wire was using character based representation, but that's not what computers use internally. They use binary numbers," says Don Mendelson, chair of the FIX Simple Binary Encoding subgroup.
The motivation for creating the SBE standard was to support high performance trading, Mendelson says, although the technology is also being used to deliver low latency market data. "For high performance trading what you want to do is take out any unnecessary steps and computing and just strip it down to the bare essentials. That's really what we did for SBE in terms of the encoding of messages on the wire."
The SBE project began four years ago, and there have been four release candidates before the final draft standard was published on June 30. Many of the discussions in the build up to the final publication were centred on how to tie the representation of messages on the wire back up to the application layer.
"FIX already defines various entities; we call them FIX data types. They're things like a price, and then an amount, and there are a lot of date and time data types. We had to come up with representations in this binary format for all the traditional FIX data types," Mendelson says.
Often, firms have to translate from one format to another which requires a translator between SBE and the traditional tag=value encoding or other encodings or even other protocols. "For example you may have prices in market data that are distributed with this very high performance encoding, but they have to convert it for human readability, for reporting, for example. We had to create these common concepts - these FIX data types. The FIX message structures were then mapped to this and that gives the application layer view of things."
SBE already has early adoption from CME who is using it with its Group Globex Market Data interfaces, and the Moscow Exchange who is using it for derivatives market data and order entry. Going forward, FIX will target anyone who's involved in the high performance trading space as it seeks wider adoption, Mendelson adds.
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
S&P debuts GenAI ‘Document Intelligence’ for Capital IQ
The new tool provides summaries of lengthy text-based documents such as filings and earnings transcripts and allows users to query the documents with a ChatGPT-style interface.
The Waters Cooler: Are times really a-changin?
New thinking around buy-build? Changing tides in after-hours trading? Trump is back? Lots to get to.
A tech revolution in an old-school industry: FX
FX is in a state of transition, as asset managers and financial firms explore modernizing their operating processes. But manual processes persist. MillTechFX’s Eric Huttman makes the case for doubling down on new technology and embracing automation to increase operational efficiency in FX.
Waters Wavelength Ep. 294: Grasshopper’s James Leong
James Leong, CEO of Grasshopper, a proprietary trading firm based in Singapore, joins to discuss market reforms.
The Waters Cooler: Big Tech, big fines, big tunes
Amazon stumbles on genAI, Google gets fined more money than ever, and Eliot weighs in on the best James Bond film debate.
AI set to overhaul market data landscape by 2029, new study finds
A new report by Burton-Taylor says the intersection of advanced AI and market data has big implications for analytics, delivery, licensing, and more.
New Bloomberg study finds demand for election-related alt data
In a survey conducted with Coalition Greenwich, the data giant revealed a strong desire among asset managers, economists and analysts for more alternative data from the burgeoning prediction markets.
How ‘Bond gadgets’ make tackling data easier for regulators and traders
The IMD Wrap: Everyone loves the hype around AI, especially financial firms. And now, even regulators are getting in on the act. But first... “The name’s Bond; J-AI-mes Bond”