bitget, the world’s largest Universal Exchange (UEX), unveiled Bitget AI, a unified trading ecosystem powered by artificial intelligence for market analysis, strategy execution, and risk management. The platform has already surpassed 1 million users and generated $1,2 billion in trading volume through more than 58 AI-powered tools.
This milestone reflects Bitget’s transition to an agent-native exchange model, highlighting growing retail adoption and the platform’s ability to scale AI trading.
The expansion also reflects Bitget’s broader architectural direction, amid the deepening automation of trading environments. Bitget AI has unified access to all intelligent trading tools for users and developers, creating a unified space for developing, deploying, and scaling AI-powered strategies.
The ecosystem is based on an AI agent without installation for obtaining real-time market analytics. GetClaw and Bitget’s AI assistant for strategy execution and automated trading GetAgentTogether with Agent Hub, a developer platform with API access and model integration, they form a connected system where analytics, strategy, and execution are seamlessly integrated.
By combining tools for traders and developers in one environment, Bitget is moving towards creating a model agent-native exchanges, in which AI moves from decision support to active market participation. This allows humans and autonomous agents to work in parallel, interacting with markets in real time.
New features are also planned for the coming months, including AI Trading Playbooks (currently in beta). This is a full-service platform for creating AI strategies, where professional traders can develop, test, launch, and publish strategies in natural language. The platform will be supported by a comprehensive infrastructure, including a data SDK, trade execution standards, and a marketplace for strategy distribution, explained Bitget CEO Gracie Chen.
The role of artificial intelligence in trading is beginning to shift from conversational interfaces to execution. It’s no longer just about using AI to interpret markets, but also about helping users structure strategies, automate trading processes, and interact more effectively with the market. Platforms must evolve to accommodate this behavior, and Bitget AI reflects our vision for the development of trading infrastructure.
As part of the Universal Exchange model, Bitget AI represents another step toward integrating intelligent systems directly into the trading environment. As cryptocurrencies, tokenized assets, and AI-driven workflows become increasingly interconnected, Bitget continues to develop the concept of an agent-native exchange designed for both traders and their autonomous agents.
To learn more about Bitget AI, visit link.
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