DocumentCode :
3395903
Title :
Automated fundamental analysis for stock ranking and growth prediction
Author :
Islam, Ariful ; Zaman, Hasib ; Ahmed, Reaz
Author_Institution :
Dept. of Comput. Sci. & Eng., Bangladesh Univ. of Eng. & Technol., Dhaka, Bangladesh
fYear :
2009
fDate :
21-23 Dec. 2009
Firstpage :
145
Lastpage :
150
Abstract :
In this paper we present the automated ranking by fundamental analysis (ARFA), a new fundamental analysis (FA) tool developed for aiding the research of fundamental indicators. ARFA provides a flexible and easy to use yet powerful platform to create and test new fundamental indicators for analyzing and comparing fundamentals of the companies in a stock market. ARFAoffers a software interface for FA that is straight forward, easy to learn and at the same time exceptionally expressive without the need of any programming or customization. In this work, we present a detailed description of ARFAs indicator creation platform with demonstration of its power by showing a number of well-known indicators written in ARFAs terminology. ARFA is intended for researcheras well as share market investors. It is web-based, free and open source. ARFA has a simple programming interface for future extensions of its terminology andability with easily pluggable modules.
Keywords :
application program interfaces; investment; public domain software; stock markets; user interfaces; automated fundamental analysis; automated ranking; fundamental analysis tool; fundamental indicators; growth prediction; indicator creation platform; market investors; open source; pluggable modules; programming interface; software interface; stock market; stock ranking; Business; Companies; Economic forecasting; Information analysis; Input variables; Investments; Power engineering and energy; System analysis and design; Terminology; Testing; Automated ranking; Data Processor; Dynamic variable; Fundamental Analysis; Fundamental indicator; Parser;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers and Information Technology, 2009. ICCIT '09. 12th International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4244-6281-0
Type :
conf
DOI :
10.1109/ICCIT.2009.5407149
Filename :
5407149
Link To Document :
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