Formalization of japanese candlestick patterns taking into account features of foreign exchange markets

Authors

  • Olena Piatykop Ph.D, Associate Professor, Department of Computer Science, State Higher Educational Institution «Priazovskyi State Technical University»,
  • Maksim Zhylkin student of Computer Science Department, State Higher Educational Institution «Priazovskyi State Technical University»,

DOI:

https://doi.org/10.31498/2225-6407.17.2018.147182

Keywords:

technical analysis, pattern, Japanese candlestick, technical indicator, formalization, foreign exchange market, cTrader, C#, OOP, cAlgo API.

Abstract

The relevance of foreign exchange markets is due to their high liquidity. Globalization and development of information technologies led to increase in foreign exchange market’s turnover. Modern computing facilities allow us to solve any problems associated with the analysis of large data volumes. That’s why the major part of speculative investors focuses on technical aspect while building their trading strategy. Technical analysis is a trading discipline employed to evaluate securities and identify trading opportunities by analyzing statistics gathered from trading activity, such as price movement and volume. An important part of technical analysis are Japanese candlestick patterns. Japanese candlestick patterns are a technical tool that pack data for multiple time frames into single price bars. This makes them more useful than traditional open-high, low-close bars or simple lines that connect the dots of closing prices. Candlesticks build patterns that predict price direction once completed. They are conditionally divided into reversal and continuation patterns. The article presents the investigation of methods of technical analysis of financial markets. In the article the main reversal Japanese candlestick patterns are considered. These patterns are formalized and realized using the trading platform cTrader using the object-oriented programming language C#.

References

Список использованных источников

1. Булковски Т.Н. Полная энциклопедия графических ценовых моделей / Т. Н. Булковски; [пер. с англ]. – М.: СмартБук, 2009. – 696 с.

2. Мэрфи Дж. Технический анализ фьючерсных рынков: теория и практика / Дж. Мэрфи; [пер. с англ]. – М.: Сокол, 1996. – 592 с.

3. Швагер Дж. Технический анализ. Полный курс / Джек Швагер; [пер. с англ]. – М.: Альпина Паблишер, 2001. – 768 с.

4. Нисон С. Японские свечи: графический анализ финансовых рынков / Стив Нисон; [пер. с англ]. – М.: Диаграмма, 1998. – 336 с.

5. Le Van Thanh An Analyze on Effectiveness of Candlestick Reversal Patterns for Vietnamese Stock Market [Електронний ресурс] / Le Van Thanh, Tran Quy ban, Ngo Tung Son - Режим доступа: https://www.researchgate.net/publication/325451768_An_Analyze_on_Effectiveness_of_Candlestick_Reversal_Patterns_for_Vietnamese_Stock_Market

6. Chee-Ling Chin Predictive Power of Candlestick in Malaysia: Reversal versus Continuation Patterns // International Journal of Economics and Business Research, Vol.15, N 3, 2018. - p.325-349.

7. Appel G. Understanding MACD (Moving Average Convergence Divergence) / Gerald Appel, Edward Dobson; Traders Press, Inc., 2008. – 45 p.

8. Моррис Л. Г. Японские свечи. Метод анализа акций и фьючерсов, проверенный временем / Грегори Л. Моррис; [пер. с англ]. – М.: Альпина Паблишер, 2001. – 311 с.

9. Колби Р. Энциклопедия технических индикаторов рынка / Роберт Колби; [пер. с англ]. – М.: Альпина Паблишер, 2011. – 840 с.

10. cTDN Algorithmic Trading Community for cTrader and cAlgo STP platforms / [Електронний ресурс] / Spotware Systems Ltd. - Режим доступу: https://ctrader.com/

11. Мінц О. Ю. Методологія моделювання інноваційних інтелектуальних систем прийняття рішень в економіці : монографія / О. Ю. Мінц. – Маріуполь :ГВУЗ "ПДТУ", 2017. – 216 с.

References

1. Thomas N. Bulkowski (2005), Encyclopedia of Chart Patterns, - Danvers, MA .: John Wiley & Sons, Inc., 1040 p.

2. John J. Murphy (1999), Technical Analysis of the Financial Markets: A Comprehensive Guide to Trading Methods and Applications, - NY .: New York Institute of Finance, 576 p.

3. Jack D. Schwager (1995), Schwager on Futures: Technical Analysis, - NY .: John Wiley & Sons, Inc., 800 p.

4. Steve Nison (2001), Japanese Candlestick Charting Techniques, - NY .: Prentice Hall Press, 299 p.

5. Le Van Thanh (2018), An Analyze on Effectiveness of Candlestick Reversal Patterns for Vietnamese Stock Market, available at: https://www.researchgate.net/publication/325451768_An_Analyze_on_Effe ctiveness_of_Candlestick_Reversal_Patterns_for_Vietnamese_Stock_Market

6. Chee-Ling Chin (2018), Predictive Power of Candlestick in Malaysia: Reversal versus Continuation Patterns, International Journal of Economics and Business Research, Vol.15, No 3, 2018, pp.325-349.

7. Appel G. (2008), Understanding MACD (Moving Average Convergence Divergence), - IA .: Traders Press, Inc., 45 p.

8. Gregory L. Morris (2006), Candlestick Charting Explained: Timeless Techniques for Trading Stocks and Futures, - NY .: McGraw-Hill Education, 560 p.

9. Robert W. Colby (2002), The Encyclopedia Of Technical Market Indicators, - NY .: McGraw-Hill Education, 832 p.

10. cTDN Algorithmic Trading Community for cTrader and cAlgo STP platforms, Spotware Systems Ltd., available at: https://ctrader.com/

11. Mіnc O. Ju. Metodologіja modeljuvannja іnnovacіjnih іntelektual'nih sistem prijnjattja rіshen' v ekonomіcі : monografіja / O. Ju. Mіnc. – Marіupol' :GVUZ "PDTU", 2017. – 216 s.

Published

2018-05-31

Issue

Section

Статті