alexa Abstract | An empirical study of collaboration methods for CEP based on algorithmic trading

Journal of Chemical and Pharmaceutical Research
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Original Articles Open Access

Abstract

Algorithmic trading has become more popular with large institutional investors these days. Complex event processing is a typical data processing technique which becomes the new spotlight of researches. In order to obtain semantic data, in this paper, we investigate the definition, detection, and management of events in the architecture of complex event processing based on algorithmic trading. Especially we propose a corresponding event model and develop an algorithm that can efficiently detect complex event over event stream

To read the full article Peer-reviewed Article PDF image

Author(s): Kong Xiangsheng

Keywords

Algorithmic Trading, Complex Event Processing, Volume Weighted Average Price, Data Stream Management System, CEP based

 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords