This comprehensive article explores the transformative impact of Artificial Intelligence (AI) on financial trading, focusing on advanced machine learning algorithms, predictive analytics, and risk management strategies. It delves into the technical aspects of AI-powered trading systems, examining how they process real-time market data, execute high-frequency trades, and optimize trading strategies. The article discusses various machine learning models used for price prediction, including CNNs, RNNs, and SVMs, as well as sophisticated backtesting techniques. Additionally, it explores AI applications in risk management, covering sentiment analysis through NLP and volatility forecasting using enhanced GARCH models and extreme value theory. Throughout, the article highlights how these AI-driven approaches are revolutionizing market operations, improving efficiency, accuracy, and risk assessment in the financial sector.