Bitget, the world’s largest Universal Exchange (UEX), introduced Bitget AI, a unified AI-powered trading ecosystem, which has already surpassed one million users and generated $1.2 billion in trading volume.
The launch of Bitget AI marks a broader transition toward what the company describes as an "agent-native exchange," where artificial intelligence systems move beyond market analysis and begin actively participating in trading environments.
The platform combines AI-powered market analysis, strategy execution, and automated risk management into a unified system designed for both traders and developers. According to the company, Bitget AI now brings together more than 58 AI-driven trading tools within a single infrastructure layer.
At the center of the ecosystem are GetClaw, an AI agent built for real-time market insights, and GetAgent, Bitget’s AI assistant focused on automated trading and strategy execution. These products are connected through Agent Hub, the company’s developer platform that provides API access and model integrations.
The infrastructure creates a connected environment where market analysis, strategy deployment, and execution can operate together seamlessly. The company added that the system is designed to support both human traders and autonomous AI agents interacting with markets simultaneously in real time.
AI Trading Playbooks enter beta
Bitget also announced that additional AI-focused capabilities are expected to roll out in the coming months. Among them is AI Trading Playbooks, currently in beta testing, which the company describes as an end-to-end strategy platform for professional traders.
The system is designed to allow users to create, backtest, deploy, and distribute trading strategies using natural-language inputs. According to Bitget, the infrastructure behind the platform includes data SDK integrations, trading harness standards, and marketplace distribution tools aimed at simplifying AI-driven trading automation.
Gracy Chen, CEO of Bitget, said the role of AI in trading is increasingly shifting away from simple analysis and toward execution and workflow automation.
"The role of AI in trading is starting to shift from chat to execution,” said Gracy Chen. “The conversation is no longer just about using AI to interpret markets, but about helping users organize strategies, automate parts of their trading process, and interact with markets more efficiently. Platforms will need to evolve around that behavior, and Bitget AI reflects how we see trading infrastructure developing over time."
The development of Bitget AI aligns with its broader Universal Exchange strategy, where crypto assets, tokenized financial products, and AI-driven trading systems operate within one integrated infrastructure.
According to the company, the long-term goal is to build an exchange environment designed for both human traders and autonomous AI agents operating side by side.
Dan Burgin
U.Today Editorial Team
