GEMINI LAUNCHES AGENTIC AI TRADING ON US-REGULATED EXCHANGE
Crypto exchange Gemini has rolled out Agentic Trading, letting users connect AI models like Claude and ChatGPT directly to their trading accounts via the Model Context Protocol — marking what it calls the first such product on a regulated US exchange.
What Gemini's Agentic Trading Does
Crypto exchange @Gemini has launched Agentic Trading, a product that allows users to connect AI models — including @claudeai, @ChatGPTapp, and other MCP-compatible tools — directly to their trading accounts. The system is designed to autonomously monitor markets, place trades, and manage risk based on predefined trading strategies.
The tool operates through the Model Context Protocol (MCP), the open standard initially developed by AI studio Anthropic, which connects AI agents to external tools and APIs. Gemini said it has integrated its full trading API with MCP.
Agentic Trading also features a set of pre-built modular functions called Trading Skills. An AI can call functions like Find the Spread, to query the bid-ask spread for any trading pair, or Retrieve Candles, to access historical data to power pattern recognition and backtesting. Gemini has said more functions are on the way.
Gemini has described the feature as "the first agentic trading tool to be available directly through a regulated US-based exchange."
How It Stacks Up Against Competitors
Rivals are moving in the same direction, though through different channels. Bybit launched a comparable AI Hub last month but operates outside US regulatory oversight. On the Coinbase side, Coinbase has incubated the x402 protocol, an open payments standard now shepherded under the Linux Foundation, that provides AI bots access to crypto wallets and an entire app store of tools and services. Tempo is also developing the Machine Payments Protocol, a similar payment standard for machine-to-machine payments — though neither x402 nor MPP are specifically focused on executing trades on an exchange.
The move fits into the broader agentic AI trend taking root in and outside of the crypto sector, where users are increasingly providing AI bots access to digital services. Gemini's launch crystallises a meaningful shift: from AI as a research and analysis tool to AI as an autonomous participant on regulated trading rails.
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Author
Jon WangJon studied Philosophy at the University of Cambridge and has been researching cryptocurrency full-time since 2019. He started his career managing channels and creating content for Coin Bureau, before transitioning to investment research for venture capital funds, specializing in early-stage crypto investments. Jon has served on the committee for the Blockchain Society at the University of Cambridge and has studied nearly all areas of the blockchain industry, from early stage investments and altcoins, through to the macroeconomic factors influencing the sector.