Bitget Launches Unified AI Trading Ecosystem, Surpasses 1M Users And $1.2B In AI-Driven Trading Volume
In Brief
Bitget launched Bitget AI, an AI-powered trading ecosystem with over 1 million users and $1.2 billion in volume, advancing its push toward agent-native crypto trading infrastructure.
Cryptocurrency exchange Bitget announced the launch of Bitget AI, a unified artificial intelligence-powered trading ecosystem designed to support market analysis, strategy execution, and risk management across digital asset markets. According to the company, the platform has already surpassed one million users and generated more than $1.2 billion in trading volume through over 58 AI-driven tools.
The development marks a broader shift in Bitget’s strategy toward what it describes as an “agent-native exchange,” reflecting the growing role of automation and intelligent systems within cryptocurrency trading environments. The company said Bitget AI consolidates its suite of AI trading tools into a single ecosystem intended for both traders and developers, enabling the creation, deployment, and scaling of automated trading strategies within one integrated platform.
Among the central components of the ecosystem are GetClaw, an AI agent focused on delivering real-time market insights without requiring installation, and GetAgent, an AI assistant designed for strategy execution and automated trading operations. These tools operate alongside Agent Hub, a developer-focused platform that provides API access and model integration capabilities. Together, the products form a connected infrastructure linking market intelligence, strategy development, and execution functions.
Bitget said the platform is intended to support an environment where human traders and autonomous AI agents can operate simultaneously within live markets. The company described this approach as part of a longer-term evolution in trading infrastructure, where AI systems move beyond assisting with analysis and begin participating more directly in trading processes.
Bitget Expands AI Trading Infrastructure With New Strategy Automation Tools And Agent-Native Exchange Vision
Additional features are expected to be introduced in the coming months, including AI Trading Playbooks, which is currently in beta testing. The feature is designed as an end-to-end AI trading strategy platform that allows professional traders to create, backtest, deploy, and host strategies using natural language inputs. The infrastructure supporting the system includes data software development kits, trading harness standards, and marketplace distribution capabilities.
“The role of AI in trading is starting to shift from chat to execution,” said Gracy Chen, CEO of Bitget in a written statement. “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,” she added.
The company said the initiative forms part of its broader Universal Exchange model, under which intelligent systems are increasingly integrated directly into trading operations. Bitget added that as cryptocurrency markets, tokenized assets, and AI-driven workflows become more interconnected, the exchange is continuing to develop infrastructure intended to support both human participants and autonomous trading agents.
Disclaimer
In line with the Trust Project guidelines, please note that the information provided on this page is not intended to be and should not be interpreted as legal, tax, investment, financial, or any other form of advice. It is important to only invest what you can afford to lose and to seek independent financial advice if you have any doubts. For further information, we suggest referring to the terms and conditions as well as the help and support pages provided by the issuer or advertiser. MetaversePost is committed to accurate, unbiased reporting, but market conditions are subject to change without notice.
About The Author
Alisa, a dedicated journalist at the MPost, specializes in crypto, AI, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.
More articles
Alisa, a dedicated journalist at the MPost, specializes in crypto, AI, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.
