**[Gate Launches AI Quantitative Workbench: Generate Executable Trading Strategies with Natural Language and Zero Code]** Gate has introduced a zero-code AI quantitative workbench, enabling users to generate trading strategies through natural language and deploy them to live trading with one click. Users do not need to write any code; they simply describe their trading ideas in natural language, and the system automatically generates executable quantitative strategies. These strategies are backtested and validated based on real historical market data, and can be deployed to live markets with a single click. The platform integrates natural language strategy generation, production-grade backtesting engines, and real trading execution, forming a complete closed loop of "strategy conception—data validation—trade execution," significantly lowering the threshold for quantitative trading. At the same time, Gate has officially launched Gate for AI, building a unified AI capability interface system that integrates five key features: CEX, DEX, wallets, real-time information, and on-chain data. The AI quantitative workbench further expands application scenarios based on this foundation, extending AI from data and research layers to strategy generation and trade execution. As AI continues to merge with trading infrastructure, Gate is actively enhancing AI-driven trading capabilities and advancing the implementation of its Intelligent Web3 strategy.