Gemini has introduced a new feature that allows artificial intelligence models to directly manage and execute crypto trades on its platform.
Key Takeaways
- Gemini launched Agentic Trading to connect AI models with crypto trading accounts.
- Users can automate trades and risk management using predefined strategies.
- The feature uses MCP, enabling AI agents to access Gemini’s full trading API.
- Market pressure continues, with GEMI stock down significantly since its debut.
What Happened?
Gemini has rolled out Agentic Trading, a new feature that allows users to connect AI models such as ChatGPT and Claude directly to their crypto trading accounts. The system enables automated trading, market monitoring, and risk management through predefined strategies.
The company described the launch as a major shift in how users interact with financial markets, positioning AI as a core execution layer while users focus on strategy.
NEW: @Gemini launches Agentic Trading, allowing users to connect AI models including Claude and ChatGPT directly to their trading accounts to autonomously monitor markets and execute trades via the MCP standard. pic.twitter.com/fi6dgqRm87
— CoinDesk (@CoinDesk) April 27, 2026
Gemini Pushes AI Deeper Into Crypto Trading
Gemini has introduced Agentic Trading as part of its regulated United States exchange platform. The feature allows AI agents to analyze market conditions, execute trades, and manage risk without constant manual input.
The system is built on the Model Context Protocol, an open standard developed by Anthropic. This protocol enables AI agents to securely connect with external tools and APIs. Gemini has integrated its full trading API into this framework, giving AI models broad access to trading functions.
Gemini said in its official announcement:
Modular Trading Skills Power Automation
A key part of the system is a set of built in tools called Trading Skills, which AI models can use to perform specific trading tasks.
These include:
- Get Market Data for real time price updates.
- Find the Spread to analyze bid and ask differences.
- Retrieve Candles for historical price data and pattern analysis.
These tools allow AI agents to support functions such as backtesting, identifying trends, and preparing trades. Gemini also confirmed that more Trading Skills will be added over time to expand the platform’s capabilities.
The feature supports a wide range of strategies, from simple buy and sell orders to more advanced multi position trades.
Part of a Growing Agentic AI Trend
Gemini’s move comes as the concept of agent driven AI continues to expand across the crypto and fintech sectors.
Coinbase has supported the x402 protocol, now under the Linux Foundation, which enables AI bots to access crypto wallets and services. Meanwhile, Tempo is developing a Machine Payments Protocol that focuses on automated transactions between systems.
While these projects are not focused directly on trading, they share the same goal of integrating AI into financial infrastructure.
Business Challenges Remain for Gemini
The launch comes at a time when Gemini is facing internal and market pressures. The company has recently reduced its workforce and exited several international markets to focus on the United States.
Leadership changes have also taken place, with the departure of key executives including its CFO, COO, and CLO. Despite continued product innovation, trading activity has remained soft.
GEMI stock has seen a sharp decline since its public debut. After launching at $28, shares have fallen significantly and have recently traded near the $4 range.
In a notable development, the Winklevoss twins transferred $130 million in bitcoin to Gemini wallets earlier this year, signaling continued internal confidence despite market challenges.
CoinLaw’s Takeaway
In my experience, this is one of the clearest signals yet that AI is moving from a support tool to a decision maker in crypto trading. I found Gemini’s approach practical because it does not replace the trader but instead lets AI handle execution and discipline, which are often the hardest parts.
At the same time, I think users should be careful. Giving AI direct control over funds is powerful, but it also introduces new risks if strategies are not properly defined. This is a big step forward, but it is not something to use blindly.
