为什么我们选择Java开发高频交易系统？

{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"在高频交易领域，自动化应用程序每天需要处理数亿个市场交易信号，并在全球各交易所之间发送成千上万的订单。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"为了保持竞争力，响应时间必须始终保持在微秒级，特别是在发生类似“黑天鹅”事件的异常高峰期。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"在一个典型的架构中，金融市场的交易信号被转换成内部的市场数据格式(使用各种协议，如TCP\/IP、UDP组播和多种格式，如二进制、SBE、JSON、FIX等)。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"这些规范化的消息被发送到算法服务器、统计引擎、用户界面、日志服务器和各种类型的数据库(内存数据库、物理数据库、分布式数据库)。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"这条路径上的任何一个延迟都有可能带来严重后果（比如基于旧价格做出战略决策或订单到达交易市场的时间太迟），并为此付出惨重代价。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"为了加快至关重要的几微秒，大多数券商投入了昂贵的硬件：服务器组配备了超频液冷的CPU(在2020年，你可以买到单台配备了56核5.6 GHz CPU和1 TB内存的服务器)、靠近交易所的数据中心、纳秒级高端网络交换机、海底专线(Hibernian Express是一家主要的供应商)，甚至是微波网络。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}}]}