Name
Title | ||
|---|---|---|
An intelligent utilization of neural networks for improving the traditional technical analysis in the stock markets |
Abstract | ||
|---|---|---|
The use of soft computing techniques such as neural networks and fuzzy engineering in the financial market has recently become one of the most exciting and promising application areas. In this paper, we propose a new decision support system (DSS) for dealing stocks which improves the traditional technical analysis by using neural networks. In the proposed system, neural networks are utilized in order to predict the “Golden Cross”(“Dead Cross”) several weeks before it occurs. Computer simulation results concerning the dealings of the Nikkei-225 confirm the effectiveness of the proposed DSS. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11552413_2 | KES (1) |
Keywords | Field | DocType |
computer simulation result,golden cross,new decision support system,traditional technical analysis,neural network,proposed dss,intelligent utilization,proposed system,financial market,dead cross,promising application area,fuzzy engineering,stock market,computer simulation,decision support system,technical analysis,soft computing | Industrial engineering,Computer science,Fuzzy logic,Decision support system,Artificial intelligence,Soft computing,Intelligent Network,Artificial neural network,Financial market,Market research,Technical analysis,Distributed computing | Conference |
Volume | ISSN | ISBN |
3681 | 0302-9743 | 3-540-28894-5 |
Citations | PageRank | References |
5 | 0.71 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Norio Baba | 1 | 134 | 69.58 |
| Toshinori Nomura | 2 | 5 | 0.71 |