#AITradingAffectsForex Artificial Intelligence (AI) is playing a critical role in high-frequency Forex trading (HFT) by enhancing speed, accuracy, and decision-making. High-frequency trading involves executing large volumes of orders at extremely high speeds, often within milliseconds, to capitalize on minor price fluctuations. AI-driven algorithms excel in analyzing vast amounts of market data in real-time, identifying patterns and trends that human traders cannot detect quickly enough. Machine learning models like Neural Networks and Support Vector Machines (SVM) are commonly used to enhance predictive accuracy and optimize trading strategies. Additionally, AI-powered trading bots can execute and modify orders instantly, providing a significant advantage in the fast-paced Forex market. Reinforcement learning is also being applied to develop adaptive trading systems that improve over time by learning from past trades and refining strategies continuously. The integration of AI in HFT helps reduce human biases, minimize errors, and enhance overall efficiency. However, challenges remain, including overfitting, data quality issues, and market unpredictability. Despite these challenges, AI continues to revolutionize high-frequency Forex trading, providing traders with improved profitability and risk management through automated, data-driven systems that can react to market changes far faster than traditional methods.