News
Linux File Systems and Application Latency
By The Chronicle Team 14th June 2021 Financial trading systems require extremely low latency. In modern markets, financial instrument pricing changes very rapidly, and a client’s profit or loss can be impacted by a delay in pricing awareness down to a few hundred nanoseconds. For this reason, there is a financial benefit in achieving low…
Read MoreThe IKEA effect
The IKEA effect is a fascinating phenomenon whereby consumers place a (sometimes disproportionately) higher value on things that they have either made themselves, or to which they’ve contributed towards making. This can have a significant influence on perceived value – to the extent that people might value imperfect things they’ve helped create, more than they…
Read MoreUOB taps Chronicle Software’s solution for its electronic FX pricing and trade engine to help customers access more competitive FX pricing
Singapore, London, 2 June 2021 – UOB today announced that it has deployed Chronicle Software’s (Chronicle) EFX solution for its electronic foreign exchange (FX) pricing and trade engine. Through Chronicle’s technology, UOB has the ability to take advantage of reduced latency via co-location connectivity to improve price discovery and to enhance pricing capability. In doing…
Read MoreTrading System Innovation and Trivially Copyable Objects
What’s in a trading system? Trading systems are complex beasts. They’ve got to be functionally rich, enabling traders to execute a range of order types and trading strategies, across multiple asset classes. They’ve also got to deliver extremely high-performance end-to-end latency and throughput, so that those traders can rapidly access market data and trading venues.…
Read MoreBig Data and Chronicle Queue
By Peter Lawrey December 2020 The Big Question How is Chronicle Queue being used for Big Data solutions in Java, and how does it work under the covers? What is Chronicle Queue? Chronicle Queue is a persisted journal of messages which supports concurrent writers and readers even across multiple JVMs on the same machine. Every…
Read MoreDeveloping Low Latency Trading Systems with Chronicle Microservices
Peter Lawrey 14th April 2021 Introduction to Chronicle Services Traditionally, low latency trading systems were developed as monolithic applications in low level languages such as C++. While these systems delivered the required performance, the development effort was extremely time consuming, and the complexity of the software made it difficult to adapt existing applications to changing…
Read MoreFINTECH FOCUS TV: Peter Lawrey, CEO at Chronicle Software
Chronicle Software for use in AI
Chronicle Queue is a persisted low-latency messaging framework for high performance and critical applications. Designed to be a “record everything store” Chronicle Queue provides sub-microsecond real-time latency supporting even the most demanding applications. It can be used in any application where the recording, distribution, analysis, or processing of information is a concern these characteristics make…
Read MoreBuilding a Neural Network with Chronicle Services
Overview Deep learning has become a prominent practice in the FinTech industry to supervise and/or automate critical decisions. More specifically, neural networks can e.g. be utilized to automate stock trading and characterize and detect fraudulent transactions. This demonstration shows how to build a neural network using Chronicle Services where we let each service represent a…
Read MoreCommon Mistakes in Benchmarking Low Latency Software and Why You Should Consider Trivially Copyable Objects
24th February 2021 Overview A common mistake in micro-benchmarking is to use performance tests that are wildly optimistic. Most benchmarking tools focus on throughput performance and report an average latency. However, when the same code is run in production, results can be dramatically worse. A problem with benchmarking using average latency is that it does…
Read More