Bitget Unveils AI Agent Accounts to Enable Autonomous Crypto Trading

• Bitget introduces AI agent accounts, enabling autonomous trading via GetClaw in live markets.
• GetClaw executes trades, monitors markets, and manages positions without manual input.
• The move signals a shift toward agentic trading, where AI actively participates in markets.

Universal exchange Bitget has launched a new account structure to support fully autonomous trading with GetClaw. The move marked a significant step toward what the industry is calling “agentic trading.”

AI Agent GetClaw Gains Autonomous Trading Capability

At the center of the rollout is GetClaw, Bitget’s AI trading agent, which can now execute trades independently within a dedicated account environment. The system allows users to issue natural language instructions, while the AI handles execution, monitors market conditions, and manages positions in real time without manual intervention.

The update builds on Bitget’s earlier introduction of GetClaw as a zero-installation AI assistant and expands its capabilities from analysis to full trade execution.

From Analysis to Independent Execution

The development also ties into Bitget’s AI ecosystem, particularly its Agent Hub, which integrates analytical tools and real-time data feeds. The idea is evolving from just giving users insights, to helping them make decisions, and now to letting AI act on its own in live markets.

Bitget also uses separate sub-accounts for AI agents, keeping user funds separate from automated trading strategies. This improves transparency and control. Users can set rules and limits, while the AI automatically adjusts trades within those boundaries.

Bitget Bets on AI-Driven Market Participation

According to Bitget CEO Gracy Chen, AI agents will play a major role in the future of financial markets. She noted that trading ecosystems are increasingly being built to support large-scale AI participation as automation becomes a core part of markets.

Ultimately, the launch highlights a trend toward “agentic trading,” where AI doesn’t just give advice but actively trades in real time. Unlike older systems that only made recommendations, newer AI can monitor the market and execute strategies on its own.

In Bitget’s Universal Exchange model, which combines crypto and tokenized traditional assets, AI agent accounts help integrate analysis and trading into a single system. As automation continues to expand, platforms like Bitget are positioning themselves for a future in which AI agents assist traders.