Title :
Multi-agent Stock Trading Algorithm Model
Author :
Tirea, Monica ; Tandau, Ioan ; Negru, Viorel
Author_Institution :
Comput. Sci. Dept., West Univ. of Timisoara, Timisoara, Romania
Abstract :
Stock Trading Algorithm Models are an important problem researchers dealt with through time that implied knowledge in technical and fundamental analysis, time series combined with knowledge expertise in computer science or programming in order to find solutions of how to have a stock gain. This paper proposes a multi-agent architecture that assists a user in making a successful investment on the stock market. This implies the use of technical and fundamental analysis in order to make a useful prediction of the security´s trend.
Keywords :
investment; multi-agent systems; stock markets; time series; computer science; fundamental analysis; investment; knowledge expertise; multiagent architecture; multiagent stock trading algorithm model; programming; security trend; stock gain; stock market; technical analysis; time series; Algorithm design and analysis; Databases; Java; Prediction algorithms; Predictive models; Security; Stock markets; Algorithmic trading models; Fundamental analysis; Multi-agent systems; Stock market prediction; Technical analysis;
Conference_Titel :
Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2011 13th International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-1-4673-0207-4
DOI :
10.1109/SYNASC.2011.11
