Gate launches zero code AI quantification workbench, supporting natural language generation and deployment of trading strategies Gate has officially released an AI quantification workbench, which uses natural language to drive strategy generation and integrates strategy conceptualization, historical backtesting, and real transaction execution on the same platform. Users do not need to write code, only need to describe their trading ideas in one sentence. The system can automatically generate executable quantitative strategies and complete historical data backtesting verification. It supports one click deployment to the real market, allowing each trader to have their own quantitative team. For a long time, there have been two main barriers to quantitative trading: one is the ability to write strategy code, and the other is the construction of complex backtesting environments. Even traders with rich market experience often cannot enter the field of quantification due to the cost of learning Python programming or the difficulty of building data environments. The design goal of the Gate AI quantification workbench is to eliminate these two major obstacles, allowing traders to focus only on trading logic and market judgment, while the rest of the technical processes are automatically completed by AI. Natural Language Driven: A Quantitative Strategy for One Sentence Generation The Gate AI quantification workbench transforms the creation of quantification strategies from "code driven" to "intent driven" through natural language interaction. Users only need to describe the transaction logic in everyday language, and the system can automatically generate complete and executable strategy code. This ability significantly reduces the technical threshold for quantitative trading, allowing even traders without programming experience to quickly convert market judgments into strategic models and participate in quantitative trading. Visual backtesting: strategy for verifying real historical data After strategy generation, the Gate AI quantification workbench will automatically call the production level backtesting engine to simulate and run the strategy on real historical market data. Users can conduct multi scheme comparison and backtesting through a visual interface, and support custom historical time intervals to evaluate strategy performance from multiple dimensions. This mechanism enables traders to fully validate their strategies before they are officially launched into the market, continuously optimize strategy parameters through data feedback, and thereby enhance strategy stability and risk control capabilities. One click deployment: execute real-time trading The Gate AI quantification workbench supports one click deployment of strategies validated through backtesting to real trading environments, which can be executed directly in the market. The platform has integrated the complete process of "strategy ideation data validation transaction execution", significantly shortening the cycle of strategy from idea to practical application. Through this closed-loop system, traders can more efficiently transform market insights into executable strategies and achieve continuous iteration and scale application. At the level of AI infrastructure, Gate has officially released Gate for AI, creating the industry's first AI unified entrance that simultaneously connects the five capabilities of CEX, DEX, wallet, real-time information, and on chain data under the same interface system. This platform provides a capability interface layer for AI agents, enabling them to complete complete complete transaction processes such as market research, risk assessment, strategy generation, order execution, and result tracking in a unified architecture. On top of this infrastructure, Gate has simultaneously launched an AI quantification workbench, further extending AI capabilities to the stages of strategy generation and real-time execution. In the future, the Gate AI Quantitative Workbench will continue to expand the boundaries of product capabilities, committed to enabling every user with trading ideas to transform them into verifiable, executable, and sustainably optimized quantitative strategies. Learn more: https://www. ((gate.com))/gate-for-ai-mcp-skills About Gate Gate was founded in 2013 by Dr. Han and is one of the world's leading cryptocurrency trading platforms. The platform serves over 50 million users and supports over 4400 types of encrypted asset trading. As an industry benchmark, Gate is the first to achieve 100% reserve certification, with an ecosystem covering diverse services such as Gate Wallet and Gate Ventures. For more information, please visit: Website | X | Telegram | LinkedIn | Instagram | YouTube Disclaimers This content does not constitute any invitation, solicitation, or recommendation. You should always seek independent professional advice before making any investment decisions. Please note that Gate may restrict or prohibit all or part of its services from restricted areas. Please read the user agreement for more information, link: https://www. ((gate.com))/user-agreement。 Gate team March 6th, 2026