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Reading: Bitget’s AI Trading Ecosystem Surpasses 1 Million Users and $1.2 Billion in Volume with 58 Tools
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Bitget’s AI Trading Ecosystem Surpasses 1 Million Users and $1.2 Billion in Volume with 58 Tools

News Desk
Last updated: May 16, 2026 4:08 am
News Desk
Published: May 16, 2026
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Bitget has recently unveiled significant milestones in its AI trading ecosystem, reporting over 1 million users and a staggering cumulative trading volume of more than $1.2 billion. This impressive achievement is driven by 58 AI-powered tools that the exchange has integrated into its framework, reinforcing its status as what it terms the world’s largest “Universal Exchange.”

The platform’s evolution towards utilizing artificial intelligence is framed as a central pillar of its Universal Exchange (UEX) strategy, which aims to incorporate intelligent agents directly into the trading workflow. This contrasts with traditional methods where AI tools are often added as external solutions. Bitget seeks to create an integrated environment that serves both retail traders and developers, merging market data analysis, trading strategies, and execution into a seamless operation.

Notable features within this ecosystem include the GetClaw market-insights agent, which provides real-time market analysis and generates trading ideas via a conversational interface. Meanwhile, the GetAgent functions as an AI assistant, translating user-defined rules into live trading orders and managing positions. The platform also introduces Agent Hub, a developer-centric space offering open APIs and integration options for third parties to create customized agents and tools that operate within Bitget’s architecture. Collectively, these components support a comprehensive “insight-strategy-execution” cycle for AI-assisted trading.

CEO Gracy Chen has highlighted an upcoming phase centered on AI Trading Playbooks, currently undergoing internal testing. These Playbooks are designed to allow traders to articulate strategies using natural language, which the system would then convert into functioning trading logic. This feature will also enable backtesting and deployment in live markets, coupled with functionalities for sharing or monetizing successful strategies.

The reported user metrics and trading volume highlight Bitget’s ambition to establish itself in a competitive exchange market. As AI continues to evolve from a buzzword to a tangible force in trading, Bitget aims to differentiate itself through its commitment to “agent-native” trading solutions.

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