Bitget , the world’s largest Universal Exchange (UEX), has expanded its Agent Hub with new AI capabilities, introducing five analytical AI Skills and 19 integrated data tools that bring analysis and execution into a unified system. The update builds on the initial launch of Agent Hub in February, which introduced a standardised framework allowing AI agents to securely access real-time market data and execute trades. The latest upgrade extends these capabilities beyond connectivity, enabling AI systems to analyse markets and respond within the same environment. The development reflects a shift in how trading is evolving. Market activity is increasingly shaped by multiple overlapping signals, including macroeconomic data, on-chain activity, sentiment indicators, and real-time capital flows. While access to markets has improved, the ability to process and act on these signals remains uneven across participants. The upgraded Agent Hub is designed to reduce this gap by integrating analytical functions directly into the trading workflow. The system continuously processes market inputs and translates them into structured insights, allowing users to move more efficiently from observation to execution. The five AI Skills introduced in this upgrade cover macro analysis, technical signal detection, sentiment monitoring, market intelligence, and aggregated news tracking across both crypto and traditional financial markets. These functions operate alongside 19 data tools that connect research, signal generation and execution within a single interface. “Markets are no longer driven by a single signal," said Gracy Chen, CEO of Bitget. “What has changed is not access to information, but the ability to process it. The goal here is to make that level of analysis available in a way that feels usable, not overwhelming.” The expanded Agent Hub also strengthens the platform’s underlying infrastructure. Through standardised modules, including APIs and execution frameworks, AI systems can access market data, manage strategies, and execute trades without relying on fragmented integrations. This reduces operational complexity while improving consistency in how strategies are deployed. The Agent Hub upgrade aligns with Bitget’s Universal Exchange model, where crypto assets and tokenized traditional instruments operate within a single, unified account. By embedding AI capabilities directly into this environment, the platform is extending its role from market access to integrated trading infrastructure. As trading continues to evolve, the ability to combine analysis, execution, and capital allocation within a unified system is becoming a defining feature of modern platforms. The expanded Agent Hub reflects this direction, positioning AI as part of the operational layer of trading rather than a separate tool. The post Bitget expands Agent Hub, extending AI Trading from access to execution appeared first on Invezz
