Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Kolkova, Andrea
- Testing EMA Indicator for the Currency Pair EUR/USD
Abstract Views :156 |
PDF Views:27
Authors
Affiliations
1 College of Entrepreneurship and Law, Prague, CZ
1 College of Entrepreneurship and Law, Prague, CZ
Source
International Journal of Entrepreneurial Knowledge, Vol 5, No 1 (2017), Pagination: 35-40Abstract
The aim of this paper is to verify the effectiveness of EMA indicator according to selected time intervals. The underlying assumption is that, on longer timescales EMA is profitable and provides more relevant signals. The second objective of this paper is to test the signals of indicators in different months. It is believed that in September and January the number of trading signals on this indicator will increase. Testing will be done on the five-minute time frame. The test will be subjected to 65,000 rate values of the EUR / USD currency pair. Effectiveness of the analysis will be evaluated on the basis of digital (binary) option. Business strategy is based on EMA crossover indicator of current exchange rate. By the contribution there were confirmed hypotheses about more profitable signals when selecting a greater timeframe breadth of moving average. There was also confirmed an increased amount of signals in September, but not in January.Keywords
Digital Option, Technical Analysis, Forex, Exponencial Moving Average.References
- Achelis, S. B. (2001). Technical analysis from A to Z. McGraw Hill New York.
- Abbasi, E., & Abouec, A. (2008). Stock price forecast by using neuro-fuzzy inference system. In Proceedings of the world academy of science, engineering and technology: 36 (pp. 320–323).
- Appel, G. (2005). Technical analysis: power tools for active investors. FT Press.
- Bollinger, John. (1992) Using Bollinger bands. Stocks & Commodities, 10.2: 47-51.
- Colby, R. W., & Meyers, T. A. (1988). The encyclopedia of technical market indicators. Irwin New York.
- da Costa, T. R. C. C., Nazário, R. T., Bergo, G. S. Z., Sobreiro, V. A., & Kimura, H. (2015). Trading system based on the use of technical analysis: A computational experiment. Journal of Behavioral and Experimental Finance, 6, 42–55.
- Chavarnakul, T., & Enke, D. (2009). A hybrid stock trading system for intelligent technical analysis-based equivolume charting. Neurocomputing, 72 (16), 3517–3528.
- Cheung, W. M., & Kaymak, U. (2007). A fuzzy logic based trading system. In Proceedings of the third European symposium on nature inspired smart information systems, 07. St. Julians, Malta.
- Chourmouziadis, K., & Chatzoglou, P. D. (2015). An intelligent short term stock trading fuzzy system for assisting investors in portfolio management. Expert Systems with Applications .doi: 10.1016/j.eswa.2015.07.063.
- Jaworski, A. (2006) CBOT Launches Binary Options. Securities Industry News. 18, 27, 11, 24.7., 2006. ISSN: 10896333.
- Jurník, D. (2013) Co jsou to binární opce a jak to funguje. http://www.binarni-opce.com/manual-binarnich-opci/co-jsou-to-binarni-opce-a-jak-to-funguje Consulted: 8. 4 2013
- Kaufman, P.J., (1987). The New Commodity Trading Systems and Methods. New York: John Wiley and Sons. ISBN 978-1-118-0-4356-1
- Kim, Hong-Joong; Moon, Kyoung-Sook. (2011) Variable time-stepping hybrid finite difference methods for pricing binary options. Bulletin of the Korean Mathematical Society. Volume 48, Issue 2, 2011, pp.413-426, Publisher : The Korean Mathematical Society
- Lane, G. C. (1984). Lane’s stochastic. Technical Analysis of Stocks and Commodities, 2 (3), 80.
- Lee, K., & Jo, G. (1999). Expert system for predicting stock market timing using a can-dlestick chart. Expert Systems with Applications, 16 (4), 357–364.
- Miyake, M, Inoue, H, Shi, J, & Shimokawa, (2014), 'A Binary Option Pricing Based on Fuzziness', International Journal Of Information Technology & Decision Making, 13, 6, pp. 1211-1227, Business Source Premier, EBSCOhost, viewed 26. 4. 2016.
- Rick Thachuk (2010) Binary options - the next big retail investing boom? FOW [online]. 2010. ISSN 14629658.
- Thavaneswarana, A. Appadoob, S.S. Frank, J (2013) Binary option pricing using fuzzy numbers. Applied Mathematics Letters, Volume 26, Issue 1, January 2013, Pages 65–72 Wilder, J. W. (1978). New concepts in technical trading systems. Trend Research Greens-boro, NC.
- Zmeskal, Z. (2012) Generalized soft binomial American real option model (fuzzy–stochastic approach). European Journal of Operational Research, 207, pp. 1096–1103
- Binary Options as a Modern Fenomenon of Financial Business
Abstract Views :215 |
PDF Views:64
Authors
Source
International Journal of Entrepreneurial Knowledge, Vol 4, No 1 (2016), Pagination: 52-59Abstract
Binary options are a new instrument of the financial market. The aim of this paper is to analyze the use of binary options with trading and to illustrate this on the practical example of trades based on Bollinger bands indicator. Currency pair EUR/USD and 6912 time series values of this instrument will be put to analysis. The contribution will be evaluated 8 strategies based on Bollinger Bands. There will be used a backtesting method. From the results follows the most trades could have been realized with the use of Bollinger bands with a double deviation. This strategy, however, also showed the greatest percentage of failed trades. On the contrary the fewest transactions could have been carried out with Bollinger bands with a triple deviation and the MACD filter.Keywords
Binary Option, Bollinger Bands, Backtest, Forex.References
- Babypis.com (2015) What is the Best Technical Indicator in Forex? http://www.babypips.com/school/elementary/common-chart-indicators/what-is-the-most-profitable-indicator.html#ixzz42VT4RrgO. Consulted: 8. 4 2013
- Blain Reinkensmeyer. (2014) Technical Analysis, Using the Relative Strength Index. https://www.stocktrader.com/2007/05/29/technical-analysis-using-the-relative-strength-index/ Consulted: 1.4.2016.
- Bollinger, John. (1992) Using bollinger bands. Stocks & Commodities. 10.2: 47-51.
- Confas A. (2013) Pros and cons of binary options. Futures: News, Analysis and Strategies for Futures, Options and Derivatives Traders. March 2013. Vol. 42 Issue 2, p 10-10.
- da Costa, T. R. C. C., Nazário, R. T., Bergo, G. S. Z., Sobreiro, V. A., & Kimura, H. (2015). Trading system based on the use of technical analysis: A computational experiment. Journal of Behavioral and Experimental Finance, 6, 42–55.
- Cory Janssen, Chad Langager and Casey Murphy. (2016) Technical Analysis, Indicators And Oscillators. http://www.investopedia.com/university/technical/techanalysis10.asp Consulted: 31.3.2016
- Elder, A. (2006) Tradingem k bohatství. Tetčice: Impossible, s.r.o.. ISBN 80-239-7048-8.
- Jaworski, A. (2006) CBOT Launches Binary Options. Securities Industry News. 18, 27, 11, 24.7., 2006. ISSN: 10896333.
- Jurník, D. (2013) Co jsou to binární opce a jak to funguje. http://www.binarni-opce.com/manual-binarnich-opci/co-jsou-to-binarni-opce-a-jak-to-funguje Consulted: 8. 4 2013
- Kaufman, P.J. (2013) Trading Systems and Methods, fitht edition. New York: John Wiley and Sons. ISBN 1118236033.
- Kim, Hong-Joong; Moon, Kyoung-Sook. (2011) Variable time-stepping hybrid finite difference methods for pricing binary options. Bulletin of the Korean Mathematical Society. Volume 48, Issue 2, 2011, pp.413-426, Publisher : The Korean Mathematical Society
- Kolková, A. (2016) Bollinger Bands use technical analysis in the forex business. Aktuálne problémy podnikovej sféry 2016. In press.
- Miyake, M, Inoue, H, Shi, J, & Shimokawa, T 2014, 'A Binary Option Pricing Based on Fuzziness', International Journal Of Information Technology & Decision Making, 13, 6, pp. 1211-1227, Business Source Premier, viewed 26. 4. 2016.
- Rick Thachuk (2010) Binary options - the next big retail investing boom?. FOW [online]. 2010. ISSN 14629658.
- Thavaneswarana, A. Appadoob, S.S. Frank, J (2013) Binary option pricing using fuzzy numbers. Applied Mathematics Letters, Volume 26, Issue 1, January 2013, Pages 65–72
- Zmeskal, Z. Generalized soft binomial American real option model (fuzzy–stochastic approach). European Journal of Operational Research, 207 (2010), pp. 1096–1103