Gemini Launches Agentic Trading for AI-Driven Orders
Gemini launched Agentic Trading, the first AI agent trading tool offered by a regulated U.S. exchange, letting MCP-compatible models like Claude and ChatGPT place automated trades.
Gemini launched Agentic Trading, the first AI agent trading tool offered directly by a regulated U.S. exchange. The platform lets users connect MCP-compatible models such as Anthropic’s Claude and OpenAI’s ChatGPT to place automated orders on the exchange.
Agentic Trading runs on the Model Context Protocol (MCP), an open standard that gives AI agents direct API access to act for users. Gemini integrated its full trading API with MCP so compatible models can submit simple buy and sell orders and manage multi-leg positions.
The system includes modular Trading Skills, pre-built functions agents call to perform market tasks. Gemini introduced three modules at launch: Get Market Data for real-time prices, Find the Spread for bid-ask analysis, and Retrieve Candles for historical price data. Traders can combine those modules to automate strategies ranging from single orders to layered conditional trades.
The exchange presented the product as a way to separate strategy from execution. In a blog post Gemini wrote, “We believe we’re at the beginning of a fundamental shift in how people interact with financial markets. 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 follows company changes announced in February. Gemini announced it would cut about 25% of its workforce and exit operations in the European Union, the United Kingdom and Australia to concentrate on the United States, and it said it plans to deploy more AI tools to operate with a smaller team.
Market response was muted. Gemini’s stock rose about 0.25% from the opening price to trade near $4.40. The shares have gained roughly 7% over the past month but remain down more than 55% since the start of the year.
Other projects are building connections between AI systems and crypto or payments infrastructure. The x402 protocol, incubated at Coinbase and now hosted by the Linux Foundation, provides AI bots access to wallets and blockchain tools. The Machine Payments Protocol developed by the Stripe-backed Tempo network enables automated machine-to-machine payments.
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