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…

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The IKEA effect

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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…

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Trading System Innovation and Trivially Copyable Objects

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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.…

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Big Data and Chronicle Queue

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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…

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Developing 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…

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Common Mistakes in Benchmarking Low Latency Software and Why You Should Consider Trivially Copyable Objects

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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…

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How Microservices can Improve Performance Now and Future-Proof your Trading System for Cloud Migration

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In this blog post, we are going to focus on microservices – what they are, what benefits they can provide for your organisation, and how they can not only provide immediate improvements in trading system performance, but also help future-proof trading systems when it comes to technology evolution and adaptation (such as cloud migrations). Microservices…

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Peter Lawrey Talks about Low-Latency, High-Performance Java

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October 22, 2020 Kevin FarnhamTechnology writer and software engineer focused on high-performance low-latency big-data Java, Python, C/C++ programming. About 7 years ago, I attended a session given by Java Champion Peter Lawrey, leader of Chronicle Software, at a JavaOne conference. Since most of my prior development work in the realm of low-latency high-performance was C/C++…

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Breaking Down the Barriers to Institutional Cryptocurrency Investment

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Institutional investment in cryptocurrencies is on the rise. A recent survey from Fidelity Digital Assets[1], encompassed a range of nearly 900 investors spanning crypto hedge and venture funds, traditional hedge funds, endowments and foundations, financial advisors, family offices and high net worth individuals, and found that:   36% of institutional investors surveyed currently invest in…

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