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A Comparative Analysis of Binary Options Trading Strategies Using Fuzzified MA and RSI in the Japanese Market | ||
| Journal of Mathematics and Modeling in Finance | ||
| دوره 4، شماره 2، اسفند 2024، صفحه 181-209 اصل مقاله (720.6 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22054/jmmf.2025.82506.1150 | ||
| نویسندگان | ||
| Hamideh Nasabzadeh* ؛ Mona Hesari | ||
| Department of Mathematics, Faculty of Sciences, University of Bojnord, Iran | ||
| چکیده | ||
| This study introduces a hybrid trading strategy combining fuzzified Moving Average (Fuzzy MA) and Relative Strength Index (Fuzzy RSI) indicators for binary options in the Japanese financial market, demonstrating enhanced adaptability and profitability. Using fuzzy logic and Genetic Algorithms for parameter optimization, the strategy aims to maximize profit while fairly evaluating different methods through multiple performance metrics, including the Sharpe ratio and drawdown. By adapting traditional indicators to capture the inherent uncertainty and volatility of the market, the research focuses on the EUR/USD currency pair. Three approaches are investigated: Fuzzy MA, Fuzzy RSI, and the combined Fuzzy MA+RSI strategy. Results show that the combined strategy significantly outperforms individual fuzzy indicators, offering superior adaptability and profitability across volatile market conditions. This study contributes to the field of binary options trading by showcasing the potential of fuzzy logic and optimization techniques, highlighting the importance of considering a range of performance metrics for a comprehensive evaluation of trading strategies. | ||
| کلیدواژهها | ||
| Binary Options Trading؛ Fuzzy Logic؛ Moving Averages (MA)؛ Relative Strength Index (RSI)؛ Genetic Algorithms (GA) | ||
| مراجع | ||
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[1] S. S. Alexander, Price Movements in Speculative Markets: Trends or Random Walks, Industrial Management Review, 2 (1958) 7–26. [2] F. De la Fuente, A. R. M. R. et al., Genetic Algorithms: A Comprehensive Guide, Publishing House, 2017. [3] D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley Publishing Company, 1989. [4] H. Haase, H. G. Zimmermann, Evolutionary algorithms and fuzzy trading rules for optimal decision-making: Application to high-frequency binary options trading, Decision Support Systems, 89 (2016) 56–68. [5] J. H. Holland, Adaptation in Natural and Artificial Systems, University of Michigan Press, 1992. [6] G. J. Klir, B. Yuan, Fuzzy sets and fuzzy logic: theory and applications, Prentice Hall, 1997. [7] Y. Liu, H. Tan, Fuzzy logic modeling in trading strategy, Journal of Financial Economics, 90 (2009), 251-273. [8] Y. Liu, A. Tsyvinski, Risks and Returns of Cryptocurrency, The Review of Financial Studies, 33 (2020) 2689–2727. [9] B. B. Mandelbrot, R. L. Hudson, The (Mis)Behavior of Markets: A Fractal View of Risk, Ruin, and Reward, Basic Books, 1997. [10] J. J. Murphy, Technical Analysis of the Financial Markets: A Comprehensive Guide to Trading Methods and Applications, New York Institute of Finance, 1999. [11] C. Pruitt, Technical Analysis for the Trading Professional, McGraw-Hill, 1997. [12] X. Qin, S. Li, Y. Wang, A fuzzy logic system for cryptocurrency trading strategy optimization, Journal of Financial Technology, 5 (2021) 213–231. [13] T. J. Ross, Fuzzy logic with engineering applications, John Wiley Sons, 2009. [14] D. Ryu, H. Yang, Predicting price movements in binary options markets using fuzzy decision trees, Journal of Computational Finance, 21 (2017) 1–27. [15] S. N. Sivanandam, S. N. Deepa, Introduction to Genetic Algorithms, Springer, 2008. [16] D. Y. Tseng, P. D. Lee, A Novel Decision Rule for Trading Systems, Fuzzy Sets and Systems, 130 (2002), 247-265. [17] J. W. Wilder, New Concepts in Technical Trading Systems, Trend Research, 1978. [18] L. A. Zadeh, Fuzzy Sets, Information and Control, 8 (1965) 338–353. [19] E. Zio, T. Aven, A fuzzy logic approach to market risk prediction and portfolio selection, Journal of Risk and Financial Management, 13 (2020) 76. [20] Y. Chen, X. Li, J. Wang, Fuzzy Logic in High-Frequency Trading: Reducing False Signals and Enhancing Profitability, Journal of Financial Engineering, 15(3) (2022), 45-60. [21] L. Zhang, H. Liu, Y. Zhao, Adaptive Fuzzy Systems for Real-Time Trading in Volatile Markets, International Journal of Computational Finance, 12(2) (2023), 78-95. [22] T. Wang, Z. Chen, Y. Liu, Hybrid Fuzzy-Neural Models for Market Trend Prediction: A Case Study in Cryptocurrency Markets, Expert Systems with Applications, 180 (2021), 115- 130. | ||
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