Quotix Selects Azul's JVM
Zing picked to fix Java garbage collection issues, latency outliers.
The decision to switch JVMs came during a period of regularly run tests to see how the system behaved during times of high volatility and observe the system's limits. Inconsistent trading execution occurred during the stress-tests, which simulated extreme market conditions.
The two issues Quotix's previous JVM, which was supplied by Oracle, suffered from were that it would stop to optimize part of the code at runtime─ known as a warm-up problem─ and that it paused to clean up memory using its garbage collection process.
Although both issues are common for Java-based software, and the conditions which the system was tested under were extreme, Quotix saw them as potential risks.
A switch to Zing solved all of those problems, according to Evgeny Sorokin, CEO of Quotix.
"Our tests demonstrated that our systems powered by Zing can comfortably handle sharp spikes in the load and deliver consistent trade execution," said Sorokin in a statement. "It was very interesting to see how our solutions behaved during the recent Swiss Franc Black Swan. We saw several thousands of orders per second on each aggregator that were processed with no delays whatsoever. This is a great example of why we chose Zing."
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 Trading Tech
A tidal wave of token costs threatens landfall
Budgeting for AI was never “easy,” but as financial firms rely more heavily on agents, soaring token usage is forcing them to rethink the economics of modern enterprise AI.
Is this tokenization’s golden opportunity?
The Waters Wrap: More initiatives around tokenizing assets are coming to fruition. Nyela asks: Is the market ready?
EuroCTP wins again, Fanatics teams up with BGC, Clarity Act’s uncertain future, and more
The Waters Cooler: A recap of the major tech and data news from the past week in the capital markets.
ICE buys MarketAxess to create ‘common rails’ for fixed income
The deal, which is expected to close early next year, will further establish ICE in the fixed-income market.
Red alert: how Nasdaq’s Smarts became surveillance blind spot
Software that looks for shifty trades has been asleep on the job, affecting alerts for hundreds of products.
TRG buys BST, buy side tests AI for research, and more
The Waters Cooler: A recap of the major tech and data news from the past week in the capital markets.
The first overnight trading puzzle pieces fall into place
The Waters Wrap: The NSCC moved to 24x5 clearing hours last week. What comes next is worth paying attention to, Nyela writes.
Reimagining fraud intelligence across trading systems
Researchers at IBM and Wipro say that trading firms need to transition from static fraud monitoring to adaptive behavioral intelligence embedded directly within the trading lifecycle.
