Gate launches AI Quant Workbench, enabling natural language zero-code generation of executable trading strategies

The digital asset trading platform Gate has launched a no-code AI quantitative workstation, which allows users to generate trading strategies through natural language and deploy them to live trading with one click. Users do not need to write code; they simply describe their trading ideas in natural language, and the system automatically generates executable quantitative strategies. It also conducts backtesting based on real historical market data, supporting one-click deployment to operate in the real market. The platform connects natural language strategy generation, production-level backtesting engine, and real trading execution, forming a complete closed loop of "strategy conception --- data validation --- trading execution," significantly lowering the barriers to quantitative trading.

At the same time, Gate has launched Gate for AI, building a unified AI capability interface system that integrates five key capabilities: CEX, DEX, wallets, real-time information, and on-chain data. The AI quantitative workstation further expands application scenarios on this basis, extending AI from data and research to strategy generation and trading execution. With the continuous integration of AI and trading infrastructure, Gate is continuously strengthening AI-driven trading capabilities and advancing the implementation of the Intelligent Web3 strategy.