@inproceedings{0b52f149adff482ba4fe2a558555dfbe,
title = "Automated fundamental analysis for stock ranking and growth prediction",
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 = "Automated ranking, Data processor, Dynamic variable, Fundamental analysis, Fundamental indicator, Parser",
author = "Ariful Islam and Hasib Zaman and Reaz Ahmed",
year = "2009",
doi = "10.1109/ICCIT.2009.5407149",
language = "English",
isbn = "9781424462841",
series = "ICCIT 2009 - Proceedings of 2009 12th International Conference on Computer and Information Technology",
pages = "145--150",
booktitle = "ICCIT 2009 - Proceedings of 2009 12th International Conference on Computer and Information Technology",
note = "null ; Conference date: 21-12-2009 Through 23-12-2009",
}