Financial Business Cloud for High-Frequency Trading

被引：0

作者：

Agopyan, Arden ^{[1
]}

Sener, Emrah ^{[2
]}

Beklen, Ali ^{[3
]}

机构：

[1] IBM Cent & Eastern Europe, Software Grp, Istanbul, Turkey

[2] Ozyegin Univ, Ctr Computat Finance, Istanbul, Turkey

[3] IBM Turkey, Software Grp, Istanbul, Turkey

来源：

PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, GRIDS, AND VIRTUALIZATION (CLOUD COMPUTING 2010) | 2010年

关键词：

high-frequency trading; cloud computing; financial business cloud;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper defines a new business cloud model to create an efficient high-frequency trading platform. Highfrequency trading systems, built to analyze trends in tick-by-tick financial data and thus to inform buying and selling decisions, imply speed and computing power. They also require high availability and scalability of back-end systems which require high cost investments. The defined model uses cloud computing architecture to fulfill these requirements, boosting availability and scalability while reducing costs and raising profitability. It incorporates data collection, analytics, trading, and risk management modules in the same cloud, all of which are the main components of a high frequency trading platform.

引用

页码：164 / 169

页数：6