Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/SYNASC.2011.11 | Symbolic and Numeric Algorithms for Scientific Computing |
Keywords | Field | DocType |
time series,implied knowledge,multi-agent stock trading algorithm,stock trading algorithm models,knowledge expertise,important problem researcher,computer science,multi-agent architecture,stock gain,stock market,fundamental analysis,algorithm design and analysis,technical analysis,algorithm design,multi agent systems,databases,security,prediction model,predictive models,java,prediction algorithms,multi agent system,investment | Architecture,Algorithm design,Computer science,Algorithm,Multi-agent system,Stock market,Stock market prediction,Java,Algorithmic trading,Technical analysis | Conference |
ISSN | ISBN | Citations |
2470-8801 | 978-1-4673-0207-4 | 5 |
PageRank | References | Authors |
0.46 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Monica Tirea | 1 | 14 | 4.68 |
| Ioan Tandau | 2 | 6 | 1.23 |
| Viorel Negru | 3 | 311 | 47.71 |