标题： 外汇交易机器人使用模糊逻辑 显示英文标题

标题： Forex Trading Robot Using Fuzzy Logic

摘要： 在本研究中，我们提出了一种模糊系统，用于进行外汇市场的短期交易。 该系统旨在通过模糊逻辑增强外汇市场中的常见策略，从而提高交易的准确性。 传统上，基于振荡器指标的技术策略依赖于相对强弱指数（RSI）、商品通道指标（CCI）和随机指标等指标的预定义范围来确定交易的入场点。 然而，由于市场随时间变化的特性，这些经典指标的使用已产生了次优的结果。 在我们提出的方法中，我们没有采用经典指标，而是为每个指标引入了一个模糊Mamdani系统。 然后通过投票将这些系统的结果结合起来，设计一个交易机器人。 我们的研究结果表明，与三种其他方法相比，盈利能力因素有了显著增加。 此外，所有方法的净收益、总收益和最大资本减少都被计算并进行了比较。 显示英文摘要

摘要： In this study, we propose a fuzzy system for conducting short-term transactions in the forex market. The system is designed to enhance common strategies in the forex market using fuzzy logic, thereby improving the accuracy of transactions. Traditionally, technical strategies based on oscillator indicators have relied on predefined ranges for indicators such as Relative Strength Index (RSI), Commodity Channel Indicator (CCI), and Stochastic to determine entry points for trades. However, the use of these classic indicators has yielded suboptimal results due to the changing nature of the market over time. In our proposed approach, instead of employing classical indicators, we introduce a fuzzy Mamdani system for each indicator. The results obtained from these systems are then combined through voting to design a trading robot. Our findings demonstrate a considerable increase in the profitability factor compared to three other methods. Additionally, net profit, gross profit, and maximum capital reduction are calculated and compared across all approaches.