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PRESS RELEASE.
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.
“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 standardized 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.
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.
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