Full-text resources of PSJD and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl


Preferences help
enabled [disable] Abstract
Number of results
2016 | 57 | 260-275

Article title

Technical Analysis of Price Formations with Fibonacci Sequence on Warsaw Stock Exchange



Title variants

Languages of publication



Investing on the stock market is associated with taking risk. Contemporary investors use various methods that support their decisions. Apart from fundamental analysis, the technical analysis, in which a variety of tools is used allows for a precise study of diagrams and trends and, therefore, enabling forecasting future changes in the prices of financial instruments, becomes more and more popular. With that, investors are able to adequately react and maximise their profits or minimise risks on the stock market. The purpose of this article is the presentation and description of technical analysis tools based on Fibonacci sequence with a particular emphasis on price patterns created using Fibonacci numbers. In the first part of the article the author presents Fibonacci sequence and the golden ratio, then pointing out the possibilities of its use on financial markets. Moreover, the attempt of finding the two main types of price patterns in the actual realities of stock market is conducted, within markings of polish index WIG20. The article ends with conclusions concerning the use of Fibonacci numbers and the golden ratio in the technical analysis, and the possibility of effective price pattern application in the actual investment.






Physical description


  • Department of Finance and Accounting, Faculty of Management, Lublin University of Technology 38 Nadbystrzycka Str., 20-618 Lublin, Poland


  • [1] Barber B and Terrance O (2011). The Behaviour of Individual Investors, SSRN, retrieved from: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1872211.
  • [2] Beck M and Geoghegan R (2010). The Art of Proof: Basic Training for Deeper Mathematics, Springer, New York, NY.
  • [3] Fischer R (2015). Fibonacci Applications and Strategies for Traders, John Wiley & Sons, Inc., New York, NY.
  • [4] Fischer R and Fischer J (2003). Candlesticks, Fibonacci, and Chart Pattern Trading Tools. A Synergistic Strategy to Enhance Profits and Reduce Risk, John Wiley & Sons, Inc., Hoboken, New Jersey.
  • [5] Gartley H (1935). Profits in The Stock Market, Traders’ Press, New York, NY
  • [6] Gaucan V (2011). How to use Fibonacci retracement to predict forex market, Journal of Knowledge Management, Economics and Information Technology, Economics, Issue No. 2, Knowledge Management, retrieved from: http://www.scientificpapers.org/wp-content/files/1134_How_to_use_Fibonacci_retracement_to_predict_forex_market.pdf
  • [7] Hartle T., Triangles and Trends, Technical Analysis of Stock & Commodities, February 2000, Vol. 18, No. 2, p. 24-30.
  • [8] Nison S. (1991). Japanese candlestick charting techniques: a contemporary guide to the ancient investment technique of the Far East, Paramount Communications Companty, New York, NY.
  • [9] Nowakowski J and Borowski K. (2005). Zastosowanie Teorii Carolana i Fishera na rynku kapitałowym, Wydawnictwo Difin, Warszawa.
  • [10] Pesavento L. (1997). Fibonacci Rations with Pattern Recognition, Traders Press, Inc., Greenville, SC.
  • [11] Posamentier A.S. and Lehmann I. (2007). The (Fabulous) Fibonacci Numbers, Prometheus Books, New York 14228-2119, NY.
  • [12] Schneider RP., A Golden Product Identity for e, Mathematics Magazine, Vol. 87, No. 2 (2014) 132-134.
  • [13] Teseo R., The Butterfly Setup, Technical Analysis of Stock & Commodities, January 2001, Vol. 19, No. 4, p. 52-56.
  • [14] Teseo R., The Gartley Setup, Technical Analysis of Stock & Commodities, January 2001, Vol. 19, No. 1, p. 40-47.
  • [15] The Trader’s Journal, September 2006, vol. 2, p. 19.

Document Type


Publication order reference


YADDA identifier

JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.