Brief

Gemini Launches Agentic Trading for AI-Driven Crypto Accounts

Gemini has introduced Agentic Trading, a new feature allowing users to connect AI models like Claude and ChatGPT directly to their exchange accounts for automated trading and market monitoring.

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Gemini has officially rolled out Agentic Trading, an innovative feature that allows users to connect advanced AI models like Claude and ChatGPT directly to their exchange accounts. Promoted as the first agentic trading tool available on a regulated United States-based exchange, the service enables AI bots to autonomously monitor markets, manage risk, and execute trades based on predefined user strategies.

The new tool operates using the Model Context Protocol (MCP), an open standard initially developed by Anthropic that connects AI agents to external application programming interfaces. By integrating its full trading API with the MCP, Gemini aims to shift the trading paradigm so users can focus on high-level strategy while artificial intelligence handles execution and discipline. To facilitate this, the platform includes pre-built modular functions known as Trading Skills, such as “Find the Spread” for querying bid-ask data and “Retrieve Candles” for backtesting historical patterns.

This launch aligns with a broader industry push toward agentic AI. Competitors like Coinbase and Tempo are also developing machine-to-machine payment protocols leveraging the MCP standard. However, Gemini’s direct integration for exchange trading represents a distinct application of the technology.

The rollout comes during a challenging period for the publicly traded company. Gemini recently experienced significant executive turnover, losing its CFO, COO, and CLO amid rising corporate expenses. Furthermore, the company’s stock has faced downward pressure, trading near 4.45 dollars recently, a sharp decline from its 28-dollar debut last September. Despite these corporate headwinds, the launch of Agentic Trading highlights Gemini’s ongoing commitment to technical innovation in the digital asset space.

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