Bitget Partners With MuleRun To Launch AI-Powered Trading Assistant For Retail Investors
In Brief
Bitget has partnered with MuleRun to launch an AI-powered trading assistant that combines real-time market data, automation, and natural language interaction to make institutional-grade insights and execution accessible to a broader range of investors.
Bitget, a leading Universal Exchange (UEX), has announced a strategic partnership with MuleRun, a self-evolving AI platform, to launch a personal AI-powered trading assistant designed to deliver institutional-grade market insights to a broader audience through natural language interaction.
MuleRun enables users to create automated workflows without technical setup, operating continuously on cloud-based virtual machines to handle monitoring, scheduled tasks, and other processes even when users are offline.
The collaboration represents a notable development in AI-driven trading infrastructure, as professional-level financial intelligence becomes more widely available. By integrating Bitget Agent Hub’s AI-powered financial data ecosystem with MuleRun’s always-on AI environment, investors can now access structured market analysis, track opportunities across multiple asset classes, and design automated trading workflows through simple conversation, removing the need for specialized technical knowledge.
This launch reflects changing investor expectations in increasingly interconnected markets, where volatility spans cryptocurrencies, equities, commodities, currencies, and macro-driven assets. Users are seeking tools that do more than display data; they require systems capable of interpreting live information, monitoring multiple markets continuously, and delivering actionable insights in an intuitive format. Retail investors often face challenges such as complex data, the demands of round-the-clock monitoring, and the risks of AI-generated errors when information is untimely or unreliable.
Bitget Expands AI-Driven Trading Ecosystem With Integrated Data, Intelligence, And Execution Capabilities
The partnership aims to mitigate these challenges by combining access to comprehensive financial data with AI-driven intelligence and secure execution. Through Bitget Agent Hub, MuleRun users can leverage a financial analytics framework covering 19 data tools, including crypto, U.S. equities, gold, crude oil, forex, A-shares, on-chain metrics, social sentiment, and 16 macroeconomic indicators such as CPI, GDP, and FOMC decisions. Bitget’s Skill Hub further translates this information into specialized AI capabilities across macro analysis, technical analysis, sentiment assessment, market intelligence, and news briefings, all accessible through plain-language interaction.
“We see a clear shift toward trading environments where analysis, monitoring, and execution are increasingly unified,” said Gracy Chen, CEO of Bitget in a written statement. “Partnering with MuleRun helps us move in that direction by combining Bitget’s market intelligence capabilities with a highly accessible personal AI interface,” he added.
The integration underscores Bitget’s ongoing effort to build an agent-native trading ecosystem, where AI functions not merely as a retrieval tool but as a persistent market companion capable of observing conditions, surfacing insights, and supporting action in real time. Through Agent Hub, GetClaw, and the broader Universal Exchange infrastructure, Bitget is developing a platform where intelligent agents can operate securely across analysis, automation, and execution within a unified environment.
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About The Author
Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, 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.
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Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, 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.
