Bitget has unveiled a new artificial intelligence-driven trading framework aimed at automating market participation for digital asset investors. The system introduces an AI trading agent designed to monitor markets, execute strategies, and manage risk with minimal manual input.
— Bitget (@bitget) March 13, 2026
AI trading agents move from assistance to autonomy
The development builds on the exchange’s earlier launch of its AI trading interface, known as GetAgent, which enables users to interact with markets using natural language instructions. The platform’s next iteration, called GetClaw, expands the concept into a persistent trading agent capable of analyzing macroeconomic data, adjusting portfolio allocations, and executing trades automatically.
According to the company, the AI agent can monitor market conditions around the clock, track variables such as funding rates and liquidation risks, and respond to market events in real time. The system is designed to learn from user behaviour, including trading patterns and risk tolerance, enabling it to refine strategies over time.
Bitget said the technology allows investors to deploy complex strategies such as cross-asset rotations or macro-driven positioning without manually managing every trade.
While all autonomous agents fall under the umbrella of AI agents, not all AI agents are autonomous. Some AI agents, such as assistive tools like copilots, rely on human input to complete tasks. Agentic AI represents a middle ground: it shows self-directed behavior, planning, and learning, bridging the gap between simple AI agents and fully autonomous intelligence.
Agent hub expands AI integration across crypto trading infrastructure
Alongside the trading agent, Bitget also introduced an infrastructure framework called Agent Hub, which opens the exchange’s trading engine to external AI developers. The system allows third-party developers to connect their own AI agents directly to Bitget’s liquidity, market data, and execution systems.
The company said the initiative aims to transform the exchange from a traditional trading interface into an AI-native execution platform capable of supporting automated trading systems at scale.
Through the Agent Hub architecture, developers can build trading agents that interact with Bitget’s infrastructure without relying on manual user interfaces. The exchange said this model could accelerate the adoption of autonomous trading systems across the crypto ecosystem.
Bitget plans to initially deploy the AI trading agent through messaging platforms such as Telegram, with deeper integration into the exchange’s mobile application currently under development.
Meanwhile, Bitget announced its integration with Morph Chain, becoming the first exchange to do so. The move marks a key milestone in Bitget’s On-Chain ecosystem expansion, enabling users to trade assets within the Morph ecosystem.
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