Journal of
Systemics, Cybernetics and Informatics
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ISSN: 1690-4524 (Online)


Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.

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Published by
The International Institute of Informatics and Cybernetics


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Academia.edu
(A Community of about 40.000.000 Academics)


Honorary Editorial Advisory Board's Chair
William Lesso (1931-2015)

Editor-in-Chief
Nagib C. Callaos


Sponsored by
The International Institute of
Informatics and Systemics

www.iiis.org
 

Editorial Advisory Board

Quality Assurance

Editors

Journal's Reviewers
Call for Special Articles
 

Description and Aims

Submission of Articles

Areas and Subareas

Information to Contributors

Editorial Peer Review Methodology

Integrating Reviewing Processes


Utilization of Artificial Intelligence by Students in Interdisciplinary Field of Biomedical Engineering
Shigehiro Hashimoto
(pages: 1-5)

Transdisciplinary Applications of Data Visualization and Data Mining Techniques as Represented for Human Diseases
Richard S. Segall
(pages: 6-15)

Beyond Status Quo: Why is Transdisciplinary Communication Instrumental in Innovation?
James Lipuma, Cristo Leon
(pages: 16-20)

How We Can Locate Validatable Foundations of Life Themes
Jeremy Horne
(pages: 21-32)

Bringing Discipline into Transdisciplinary Communications -The ISO 56000 Family of Innovation Standards-
Rick Fernandez, William Swart
(pages: 33-39)

To AI Is Human: How AI Tools with Their Imperfections Enhance Learning
Martin Cwiakala
(pages: 40-46)

Knowledge, Learning and Transdisciplinary Communication in the Evolution of the Contemporary World
Rita Micarelli, Giorgio Pizziolo
(pages: 47-52)

Human Complexity vs. Machine Linearity: Tug-of-War Between Two Realities Coexisting in Precarious Balance
Paolo Barile, Clara Bassano, Paolo Piciocchi
(pages: 53-62)

A Cybernetic Metric Approach to Course Preparation
Russell Jay Hendel
(pages: 63-70)

The Impact of Artificial Intelligence on Education
John Jenq
(pages: 71-76)

Bridging the Gap: Harnessing the Power of Machine Learning and Big Data for Media Research
Li-jing Arthur Chang
(pages: 77-84)

Image Processing, Computer Vision, Data Visualization, and Data Mining for Transdisciplinary Visual Communication: What Are the Differences and Which Should or Could You Use?
Richard S. Segall
(pages: 85-92)

Identification – The Essence of Education
Jeremy Horne
(pages: 93-99)

The Greek-Roman Theatre in the Mediterranean Area
Maria Rosaria D’acierno Canonici Cammino
(pages: 100-108)

Examination of AI and Conventional Teaching Approaches in Cultivating Critical Thinking Skills in High School Students
Luis Castillo
(pages: 109-112)

Thoughts, Labyrinths, and Torii
Maurício Vieira Kritz
(pages: 113-119)

Can Two Human Intelligences (HIs or Noes) and Two Artificial Intelligences (AIs) Get Involved in Interlinguistic Communication? – A Transdisciplinary Quest
Ekaterini Nikolarea
(pages: 120-128)


 

Abstracts

 


ABSTRACT


The Information System for US Stock Market: Fundamental and Technical Analysis

Sergejs Hilkevics, Galina Hilkevica


Fundamental and technical analysis are two main methods of forecasting in economics, securities analysis and investments. Fundamental analysis is based on the consideration of those factors, which influence economic process. Technical analysis is the method of economic analysis, which is based on the previous history of the process analysis and does not consider influencing economic factors. Technical and fundamental analysis approaches are so different, that TA and FA can be considered as relatively independent methods.

As study courses, technical and fundamental analysis are included in study programs of faculties of economics and business administration in many European and American universities. Usually such courses consist of theoretical lectures and practical exercises. Sufficient help for fundamental and technical analysis course realization can provide specialized information system. The creation of such system is complicated task, because there are specific requirements for information systems for study courses in fundamental and technical analysis support. Such information systems should be complete enough – it should contain all necessary procedures for information processing, which are sufficient for investment portfolio creation and investment decision making. Appropriate procedures include input data receiving, data pre-processing, stocks screening, optimal portfolio creation, portfolio testing and correcting. Information system should be simple enough and understandable for students of economics and business administration. Information system should be flexible and provide the possibility to change algorithms of data processing from simple to complicate. Information system should be extendable and ensure the possibility to use it for research work and practical investment activities. Information system should be based on appropriate IT platform and use appropriate programming language.

The paper is devoted to the description of information system created at the Ventspils University College during last 10 years to support the study course in stock market fundamental and technical analysis. Results received using this system for US stock market and possible practical applications are considered also.

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