Bitget Partners MuleRun to Launch AI Trading Assistant Bringing Institutional-Grade Insights to Retail Investors

WHY THIS MATTERS
Bitget’s partnership with MuleRun reflects a significant shift in how trading tools are evolving—from static dashboards to always-on, AI-driven environments that actively interpret markets. As financial markets become more interconnected and data-heavy, the ability to monitor multiple asset classes and extract meaningful insights in real time is becoming increasingly difficult for individual investors.

By combining institutional-grade data with a natural language interface, this solution lowers the barrier to accessing sophisticated market intelligence. It also addresses a key gap in retail trading: the inability to continuously monitor markets and act on signals without technical expertise. The move toward “agent-based” systems—where AI can observe, analyse and assist in execution—signals a broader transition toward more automated, intelligence-led trading environments across both crypto and traditional assets.

Bitget, the world’s largest Universal Exchange (UEX), announced a strategic product partnership with MuleRun, an industry-leading self-evolving AI Agent, to launch a personal AI-powered trading assistant that brings institutional-grade market signals to everyday investors through natural language. 

MuleRun is a self-evolving personal AI platform that lets users deploy workflows through natural language with no technical setup. It runs 24/7 on cloud-based virtual machines and is built to keep tasks, monitoring, and scheduled jobs running continuously, even when users are offline. 

The collaboration marks a new milestone in AI-driven trading infrastructure as professional-level financial intelligence becomes more accessible to mainstream users. Through the integration of Bitget Agent Hub’s AI financial data ecosystem with MuleRun’s always-on personal AI environment, users can now access structured market analysis, monitor opportunities across asset classes, and build automated trading workflows through simple conversation, without requiring technical expertise. 

The launch reflects a broader shift in investor behavior. As markets become more interconnected and volatility spreads across crypto, equities, commodities, currencies, and macro-driven assets, users are looking for systems that can do more than display data. They want intelligent tools that can interpret live information, track multiple markets continuously, and deliver timely, actionable insights in a form that is easy to use. For many retail investors, the core barriers remain the same: market data is too complex, round-the-clock monitoring is difficult, and AI hallucinations when timeliness and reliability of market data are uncertain. 

This partnership is designed to address those constraints across data, intelligence, security, and execution. Through Bitget Agent Hub, MuleRun users gain access to a financial analytics framework spanning 19 data tools across crypto, U.S. equities, gold, crude oil, forex, A-shares, on-chain metrics, social sentiment, and 16 macroeconomic indicators including CPI, GDP, and FOMC decisions. Bitget’s Skill Hub further translates this data into specialized AI capabilities across macro analysis, technical analysis, sentiment analysis, market intelligence, and news briefings, making advanced financial interpretation available 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. “Partnering with MuleRun helps us move in that direction by combining Bitget’s market intelligence capabilities with a highly accessible personal AI interface.” 

The integration signals Bitget’s continued push toward an agent-native trading future, where AI does more than assist with information retrieval and becomes a persistent market companion capable of observing conditions, surfacing signals, and supporting action in real time. Through Agent Hub, GetClaw, and its broader Universal Exchange architecture, Bitget is building the infrastructure layer for this next phase of trading, one in which intelligent agents operate securely across analysis, automation, and execution within a single connected environment.

FF NEWS TAKE
This is another step toward making AI the interface for trading, not just a tool behind the scenes. Bitget is positioning itself at the forefront of an “agent-native” future where users interact with markets through intelligent assistants rather than traditional platforms.

The opportunity is clear—bringing institutional-level insight to retail users—but so are the challenges. Trust, accuracy and control will be critical, especially in volatile markets where poor signals can have real consequences. If Bitget can balance automation with transparency and user oversight, this model could redefine how everyday investors engage with increasingly complex global markets.

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