DocumentCode
3100741
Title
A Web-based information system for stock selection and evaluation
Author
Zargham, Mehdi R. ; Sayeh, Mohammad R.
Author_Institution
Southern Illinois Univ., Carbondale, IL, USA
fYear
1999
fDate
36373
Firstpage
81
Lastpage
83
Abstract
We have developed an expert system, called PORSEL (PORtfolio SELection system), which uses an effective set of rules to select and evaluate stocks on the Internet. At present, the PORSEL consists of three components: the information center, the fuzzy stock selector, and the portfolio constructor. The purpose of the information center is to provide representation of several technical indicators such as candlestick charts, moving average of closing prices, and price trends. The fuzzy stock selector evaluates the listed stocks and then assigns a composite score for each stock. The portfolio constructor generates the optimal portfolios for the selected stocks. A client/server model is implemented which allows users to communicate with the PORSEL program on a server computer at a remote site in a user-friendly manner. The results of simulation show that PORSEL outperformed the market almost every year during the testing period
Keywords
client-server systems; expert systems; fuzzy logic; information resources; information systems; investment; stock markets; Internet; PORSEL expert system; Portfolio Selection system; Web-based information system; candlestick charts; client/server model; closing price moving average; composite score; fuzzy stock selector; information center; optimal portfolios; portfolio constructor; price trends; remote site; server computer; simulation; stock evaluation; stock selection; technical indicators; Communications technology; Expert systems; Information analysis; Information systems; Internet; Investments; Mathematical model; Portfolios; Software packages; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Advance Issues of E-Commerce and Web-Based Information Systems, WECWIS, 1999. International Conference on
Conference_Location
Santa Clara, CA
Print_ISBN
0-7695-0334-9
Type
conf
DOI
10.1109/WECWIS.1999.788191
Filename
788191
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