<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ivan Rakov on foojay.io - Friends of OpenJDK</title><link>https://foojayio.github.io/website/today/author/ivan-rakov/</link><description>Articles written by Ivan Rakov on foojay.io - Friends of OpenJDK</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 18 Oct 2022 14:59:37 +0000</lastBuildDate><atom:link href="https://foojayio.github.io/website/today/author/ivan-rakov/index.xml" rel="self" type="application/rss+xml"/><item><title>Low Latency Crypto Trading Systems with Java and Chronicle</title><link>https://foojayio.github.io/website/today/low-latency-crypto-trading-systems-using-java-and-chronicle-services/</link><pubDate>Tue, 18 Oct 2022 14:59:37 +0000</pubDate><guid>https://foojayio.github.io/website/today/low-latency-crypto-trading-systems-using-java-and-chronicle-services/</guid><description>&lt;p&gt;Cryptocurrency trading is an emerging market with its own rules.&lt;/p&gt;
&lt;p&gt;However, when it comes to the need for low-latency &lt;a href="https://en.wikipedia.org/wiki/Arbitrage" title="arbitrage" target="_blank" rel="noopener noreferrer"&gt;arbitrage&lt;/a&gt;
, that is, being able to react rapidly to changing market prices and placing orders ahead of the competition, there are lessons we can learn from optimizing classic trading systems.&lt;/p&gt;
&lt;p&gt;Chronicle Software has a successful track record of designing low-latency trading products. This background enables it to provide optimum performance solutions for Crypto trading systems.&lt;/p&gt;</description></item></channel></rss>