Paper Info
Title
Stock market analysis - Strongest performing stocks influence on an evolutionary market
Abstract
On the stock market, it is said that the strongest stock gives the direction of those stocks that are in the same domain (IT, services, oil, and others). Determining the strongest stock plays an important part in finding a better moment to enter on a position. This paper presents a Multi-Agent architecture that combines Technical Analysis, Neural Networks and Statistical Methods in order to find the strongest stock and to make a better forecast on the market future trend and trigger an entry/exit signal based on the market basket classification. A prototype was developed and applied on the Bucharest Stock Exchange Market (BSE).
Year
Venue
Keywords
2013
Information Technology Interfaces
multi-agent systems,neural nets,statistical analysis,stock markets,BSE,Bucharest stock exchange market,evolutionary market,market basket classification,multiagent architecture,neural networks,statistical methods,stock market analysis,stocks influence,technical analysis,Entry/Exit Points,Stock Trend Prediction,Stock price,Strongest Stock,Technical Analysis,Trading Strategies,Z-score
Field
DocType
ISSN
Econometrics,Computer science,Market capitalization,Knowledge management,Market maker,Stock exchange,Cost price,Market depth,Stock market,Stock market bubble,Technical analysis
Conference
1334-2762
ISBN
Citations 
PageRank 
978-953-7138-30-1
0
0.34
References 
Authors
2
2
Name
Order
Citations
PageRank
Monica Tirea1144.68
Viorel Negru231147.71