Crypto exchange Gemini has launched Agentic Trading, marking the first time a regulated U.S. exchange has offered direct AI agent integration for automated trading. The platform enables users to connect Claude, ChatGPT, and other AI models to automate trading strategies ranging from simple orders to complex multi-leg positions.
The system operates through the Model Context Protocol (MCP), an open standard that provides AI agents with direct API access to execute actions on behalf of users. Gemini integrated its entire trading API with MCP, enabling AI models to access all exchange features without intermediary layers.
The platform includes modular pre-built functions, called Trading Skills, that AI agents call to perform specific tasks. Gemini launched with three initial modules:
Gemini positioned the launch as part of a broader transformation in financial market interaction. “We believe we’re at the beginning of a fundamental shift in how people interact with financial markets,” the exchange wrote in a blog post. “Agentic trading isn’t just a feature. It’s a new paradigm where AI handles the execution, patterns, and discipline, while you focus on strategy and goals.”
The launch aligns with Gemini’s February announcement that it would cut 25% of its workforce, exit operations in the European Union, United Kingdom, and Australia, and sharpen its focus on the United States. The exchange said it would boost its use of AI to become more efficient with a smaller team.
Gemini’s stock rose approximately 0.25% on the day of announcement to trade at $4.40. Year-to-date, GEMI shares are down more than 55%, though they have gained about 7% in the last month.
Other protocols are building similar bridges between AI and crypto infrastructure. The x402 protocol, incubated by Coinbase and now under the Linux Foundation, provides AI bots access to crypto wallets and tools. The Machine Payments Protocol, developed by the Stripe-backed Tempo network, enables automated machine-to-machine payments.
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