Automated fundamental analysis for stock ranking and growth prediction

Ariful Islam, Hasib Zaman, Reaz Ahmed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish
Title of host publicationICCIT 2009 - Proceedings of 2009 12th International Conference on Computer and Information Technology
Pages145-150
Number of pages6
DOIs
StatePublished - 2009
Event2009 12th International Conference on Computer and Information Technology, ICCIT 2009 - Dhaka, Bangladesh
Duration: Dec 21 2009Dec 23 2009

Publication series

NameICCIT 2009 - Proceedings of 2009 12th International Conference on Computer and Information Technology

Conference

Conference2009 12th International Conference on Computer and Information Technology, ICCIT 2009
CountryBangladesh
CityDhaka
Period12/21/0912/23/09

Keywords

  • Automated ranking
  • Data processor
  • Dynamic variable
  • Fundamental analysis
  • Fundamental indicator
  • Parser

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    Islam, A., Zaman, H., & Ahmed, R. (2009). Automated fundamental analysis for stock ranking and growth prediction. In ICCIT 2009 - Proceedings of 2009 12th International Conference on Computer and Information Technology (pp. 145-150). [5407149] (ICCIT 2009 - Proceedings of 2009 12th International Conference on Computer and Information Technology). https://doi.org/10.1109/ICCIT.2009.5407149