Database performance key to algorithmic trading and risk management
Chris Burke, director of Asia Pacific for Kx Systems, examines some of the essential building blocks for algorithmic trading, and argues that form must follow function.
Much like the ongoing rumblings in the consumer market over the relative merits of rivals iOS and Android, the SQL/NoSQL face-off occupying the world’s database developers, (and giving rise to countless blogs and online forums) shows no sign of abating. In the past few years, there has been increasing interest in the topic and the recent buzz about sentiment trading has only added fuel to the NoSQL fire.
Relative importance of performance and cost must be established
Figure 1. Factors affecting algorithmic trading
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Categories: Markets & Exchanges
, Risk & Compliance
, Trading & Data
Keywords: Chris Burke
, Kx Systems
, Algorithmic Trading
, NYSE TAQ