Gemini Introduces AI-Driven Trading Agents With Full Account Control Capabilities

Gemini’s AI agents bring automated execution to trading, shifting user focus from manual actions to strategy design and oversight.

Gemini has introduced a new approach to crypto trading, placing artificial intelligence at the center of execution. The feature, called Agentic Trading, allows users to connect AI models directly to their trading accounts. With this system, trading decisions, monitoring, and risk control can run with limited manual input. As competition grows across exchanges, this move reflects a shift toward automation and data driven strategies.

Gemini Unveils AI Driven Agentic Trading With Direct Account Execution on US Platform

Gemini has launched Agentic Trading on its regulated United States platform, enabling AI models such as ChatGPT and Claude to interact directly with user accounts. Built on the Model Context Protocol developed by Anthropic, the system allows secure connections between AI tools and Gemini’s trading infrastructure.

Through this integration, AI agents can analyze market data, execute trades, and manage positions without constant user intervention. Gemini has embedded its full trading API into the framework, giving these agents broad operational access.

Built-in tools known as Trading Skills support the system’s functionality. These tools allow AI models to retrieve live market prices, assess bid and ask spreads, and study historical price patterns. Such capabilities support backtesting, trade preparation, and pattern recognition.

Gemini describes this approach as a shift in how traders interact with markets. Instead of manually reacting to price movements, users define strategies while AI handles execution and discipline. This structure aims to reduce emotional decision-making and improve consistency in trading behavior.

Agentic AI Trading Debuts as Shares Slide from $28 to $4

Agentic Trading arrives during a challenging period for Gemini. The company has scaled back operations in several international markets and reduced its workforce to focus on its United States presence. Leadership changes have also taken place, including the departure of key executives across finance and operations.

Despite these challenges, product development continues to move forward. The introduction of AI-driven trading reflects an effort to strengthen engagement at a time when overall trading activity has remained subdued.

The system supports a wide range of strategies, from simple buy and sell orders to more complex multi-position trades. This flexibility allows users to adapt their approach while relying on AI for execution.

Gemini’s stock performance adds further context. After debuting at $28, shares have dropped significantly and recently traded near the $4 range. Market conditions and internal adjustments have both contributed to that decline.