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

PANews March 6th reported that Gate has launched a zero-code AI quantitative trading platform, allowing users to generate trading strategies using natural language and deploy them to live markets with a single click. Users do not need to write code; they only need to describe their trading ideas in natural language, and the system will automatically generate executable quantitative strategies, perform backtesting based on real historical data, and support one-click deployment to real markets. The platform integrates natural language strategy generation, a production-level backtesting engine, and real trading execution, forming a complete closed loop of “strategy conception—data validation—trading execution,” significantly lowering the barrier to entry for quantitative trading.

Meanwhile, Gate has also launched Gate for AI, building a unified AI capability interface system that integrates five key capabilities: CEX, DEX, wallets, real-time news, and on-chain data. The AI quantitative trading platform further expands application scenarios based on this foundation, extending AI from data analysis and research to strategy generation and trading execution. As AI continues to merge with trading infrastructure, Gate is continuously strengthening AI-driven trading capabilities and advancing the implementation of the Intelligent Web3 strategy.