
According to Gate’s official statement, the company has expanded its AI-driven trading ecosystem by launching an AI Quantitative Workstation that uses natural language to generate strategies and integrates idea creation, backtesting, and live execution.
Gate announced the launch of its AI Quantitative Workstation as part of the broader Gate for AI ecosystem, according to the company’s official statement. The new tool allows users to generate trading strategies using natural language and integrates strategy ideation, historical backtesting, and real-time trading execution within a single environment. The release complements the existing Gate for AI infrastructure, which connects centralized exchange (CEX), decentralized exchange (DEX), wallet services, news feeds, and on-chain data through MCP-based APIs and modular Skills. Gate states that the workstation aims to remove coding and technical environment barriers, enabling traders to develop and deploy validated strategies directly into live markets. The initiative continues alongside the Gate for AI MCP Challenge, which offers a 3,000 GT prize pool to encourage AI agent experimentation on the platform.