TY - GEN
T1 - Automated fundamental analysis for stock ranking and growth prediction
AU - Islam, Ariful
AU - Zaman, Hasib
AU - Ahmed, Reaz
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Automated ranking
KW - Data processor
KW - Dynamic variable
KW - Fundamental analysis
KW - Fundamental indicator
KW - Parser
UR - http://www.scopus.com/inward/record.url?scp=77749295500&partnerID=8YFLogxK
U2 - 10.1109/ICCIT.2009.5407149
DO - 10.1109/ICCIT.2009.5407149
M3 - Conference contribution
AN - SCOPUS:77749295500
SN - 9781424462841
T3 - ICCIT 2009 - Proceedings of 2009 12th International Conference on Computer and Information Technology
SP - 145
EP - 150
BT - ICCIT 2009 - Proceedings of 2009 12th International Conference on Computer and Information Technology
T2 - 2009 12th International Conference on Computer and Information Technology, ICCIT 2009
Y2 - 21 December 2009 through 23 December 2009
ER -