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ZÁMEČNÍKOVÁ, E. KRESLÍKOVÁ, J.
Originální název
Time Series Prediction Based on Event Driven Business Process Management
Typ
článek v časopise - ostatní, Jost
Jazyk
angličtina
Originální abstrakt
In this paper I would like to focus on time series prediction for building trading systems based on unification of the seemingly antagonistic concepts of Complex Events Processing (CEP) and discrete, legacy business logic. In the realm of the high frequency market-making trading systems, the incoming stream of data from multiple asset sources and venues shall be processed primarily by a real-time CEP engine till the point when the statistical characteristics of the continuous results cross into the "fat-tail" distribution region, when a set of stringent risk-management business rules kick in.
Klíčová slova
Business Rules, Complex Event Processing, Event-Driven Architecture, Financial Markets, High Frequency Data, Prediction, Trading
Autoři
ZÁMEČNÍKOVÁ, E.; KRESLÍKOVÁ, J.
Rok RIV
2014
Vydáno
1. 5. 2014
ISSN
2250-3005
Periodikum
International Journal of Computational Engineering Research (IJCER)
Ročník
4
Číslo
Stát
Indická republika
Strany od
1
Strany do
6
Strany počet
URL
https://www.fit.vut.cz/research/publication/10599/
BibTex
@article{BUT111566, author="Eva {Zámečníková} and Jitka {Kreslíková}", title="Time Series Prediction Based on Event Driven Business Process Management", journal="International Journal of Computational Engineering Research (IJCER)", year="2014", volume="4", number="4", pages="1--6", issn="2250-3005", url="https://www.fit.vut.cz/research/publication/10599/" }