This study examines the transformative impact of artificial intelligence (AI) on the core functions of futures markets-price discovery, risk management, and speculation. Through integrating advanced algorithms, machine learning, and big data analytics, AI significantly enhances information processing efficiency (e.g., millisecond-level trade execution), predictive accuracy (via historical data mining), and operational resilience in futures trading. Key findings demonstrate that AI: 1. Optimizes price discovery by improving accuracy (+37% forecasting precision), timeliness (real-time global data integration), and transparency; 2. Reinvents risk management through automated hedging, personalized risk control, and cross-market surveillance; 3. Refines speculation by reducing transaction costs (-28%) and enhancing market liquidity. Challenges-including technical limitations (overfitting risks), data security vulnerabilities, and regulatory gaps-are critically addressed. The research concludes that AI-futures market synergy drives intelligent financial innovation, yet requires strengthened governance frameworks to ensure sustainable development.
Artificial intelligence, Futures markets, Functional enhancement, Algorithmic trading
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