Charting as a powerful technique for analyzing financial markets Cover Image

Charting as a powerful technique for analyzing financial markets
Charting as a powerful technique for analyzing financial markets

Author(s): Kreshnik Bello, Orkida ILOLLARI, Edlira MARGILAJ
Subject(s): Business Economy / Management, Financial Markets, Accounting - Business Administration, Socio-Economic Research
Published by: Shtëpia botuese “UET Press”
Keywords: financial markets; charting techniques; business organizations;

Summary/Abstract: A chart is the traditional tool of the market analysis. Charts are merely graphical displays of data. Many chart varieties have evolved over the centuries, but the basic principle of graphing price and other important information is the cornerstone of technical analysis. From these charts, analysts recognize patterns and trends that can be useful in trading and investing. Of course, the chart method is also subject to considerable criticism largely because the recognition of patterns and trends is subjective, based on the analyst’s skill and experience. We propose to take a look over the techniques and methods the investors and analysts use to evaluate the movements in the value of stocks and other assets of different companies present in the markets, and take a closer look over the most useful charts and charting techniques used today. This issue makes the rationale of this paper. For the purpose of our research, it is important to understand the level of recognition and usage of different chart types in different entities in our country. So, the purpose of this paper is to investigate the level of recognition and usage of different chart types in different business organizations in Albania. The purpose of this paper fully supports the research question expressed as: What is the level of recognition and usage of different chart types in the business organizations in Albania?; The research methodology is specified following its main dimensions, and the research is based on primary and secondary data collection. Some recommendations are also part of this paper.

  • Issue Year: 15/2017
  • Issue No: 1
  • Page Range: 19-37
  • Page Count: 19
  • Language: English
Toggle Accessibility Mode