Quotix Chooses Zing to "Eradicate Java Garbage" In Their FX Aggregation Technology

Azul Systems, a technology provider focused exclusively on creating solutions for Java applications, announced that its Zing solution has been selected by Quotix to optimize its FX Liquidity Liquidity The term liquidity refers to the process, speed, and ease of which a given asset or security can be converted into cash. Notably, liquidity surmises a retention in market price, with the most liquid assets representing cash.The most liquid asset of all is cash itself.· In economics, liquidity is defined by how efficiently and quickly an asset can be converted into usable cash without materially affecting its market price. · Nothing is more liquid than cash, while other assets represent The term liquidity refers to the process, speed, and ease of which a given asset or security can be converted into cash. Notably, liquidity surmises a retention in market price, with the most liquid assets representing cash.The most liquid asset of all is cash itself.· In economics, liquidity is defined by how efficiently and quickly an asset can be converted into usable cash without materially affecting its market price. · Nothing is more liquid than cash, while other assets represent Read this Term Aggregation Software. Acquired by FxPro in September 2014, Quotix provides brokers and traders solutions for aggregating their FX liquidity sources into one aggregated environment. Quotix’s software operates using the Java Virtual Machine (JVM) environment.

According to Quotix, the firm has partnered with Azul Systems to help them “eradicate Java garbage collection issues” and improve latency in their system. Shedding light on the reason they chose Zing, Daniil Volkov, quality assurance lead at Quotix, explained that the firm encountered system limits when operating stress tests. These system limits could lead to inconsistent trading executions in extreme market conditions. Daniil explained that there were two reasons for this, “The first one is a 'warm-up' problem when the JVM would stop to optimize some part of the code at runtime, therefore delaying the execution. The second problem is that the JVM would pause to clean up memory using its garbage collection process. Both problems are common for Java-based software.”

Daniil added that although their stress tests were tougher in terms of market data updates and orders compared to what they had experienced in production, they decided to select Zings technology to mitigate potential risks. Integrating the software, Zing is expected to solve the “warm up” problem as it supports large in-memory datasets without sacrificing performance, as well as improving latency.

Scott Sellers, CEO and President of Azul Systems, commented about the news, “Quotix handles tens of billions of dollars of transactions per day. Their business requires a Java runtime which can guarantee consistent real-time trade execution, even during peak trading periods and unexpected surges in volume. Only Zing delivers the high sustained throughput and consistent low-latency required to be competitive in today’s real-time trading markets.”

Evgeny Sorokin, CEO of Quotix added, “We implemented Azul’s Zing to armour the Quotix backend. Our tests demonstrated that our systems powered by Zing can comfortably handle sharp spikes in the load and deliver consistent trade execution. It was very interesting to see how our solutions behaved during the recent CHF Black Swan Black Swan A Black Swan event is most commonly associated with an unforeseen calamity or event. In its most basic form, this event results in disastrous consequences for multiple parties, markets, or individuals and are characterized as extraordinarily rare in frequency, yet are seemingly predictable in retrospect. In the foreign exchange space, the most noteworthy of these events in recent memory was the Swiss National Bank (SNB) crisis which roiled currency markets back on January 15, 2015.During this in A Black Swan event is most commonly associated with an unforeseen calamity or event. In its most basic form, this event results in disastrous consequences for multiple parties, markets, or individuals and are characterized as extraordinarily rare in frequency, yet are seemingly predictable in retrospect. In the foreign exchange space, the most noteworthy of these events in recent memory was the Swiss National Bank (SNB) crisis which roiled currency markets back on January 15, 2015.During this in Read this Term. 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.”