CoinW expands AI-driven crypto platform strategy at ninth anniversary

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CoinW expands AI crypto platform

Highlights

CoinW now serves over 20 million users and handles more than $5 billion in daily trading volume as it expands beyond spot trading.
The platform's evolution includes new AI-driven tools like GPT-TradeAI and On-Chain Smart Money, enabling users to replicate top wallet trades and access automated insights.
CoinW aims to transition into a comprehensive financial hub across CeFi, DeFi, and traditional finance, prioritizing infrastructure and security development to support growth and user retention.

Platform roadmap and product buildout

As reported by The Block, CoinW Chief Communications Officer Yoka Zhou says the exchange’s development centers on making advanced trading functions easier to use without requiring deep market expertise. The company says it now serves more than 20 million users and handles over $5 billion in daily trading volume as it expands beyond its earlier spot trading roots.

Zhou says the platform’s product evolution includes derivatives, copy trading, AI tools, and the On-Chain Smart Money feature, which lets users track and replicate trades from successful wallets. CoinW also highlights its GPT-TradeAI tool as part of a broader effort to give users market insights and strategy support through AI-assisted functions.

Zhou says AI agents are expected to play a larger role in trading activity alongside human users, with CoinW aiming to increase the autonomy of those agents over time. At the same time, the company says security development remains a parallel priority as threats across the crypto sector continue to evolve.

Industry positioning for the next phase

As CoinW moves into its tenth year, the company says it wants to become a more integrated financial hub spanning CeFi, DeFi, and traditional finance. That strategy reflects a broader industry push to keep users inside one platform for multiple services rather than a single trading function.

The approach suggests exchanges are seeking growth through wider product ecosystems and AI-enabled user tools as competition in crypto trading matures. Zhou says long-term expansion depends on addressing practical user needs and investing in infrastructure that supports both current demand and future market shifts.

Our earlier report on AI’s growing “workflow moat” explained that AI tools become harder to replace when they are embedded into the real processes users depend on, rather than offered as standalone features. We noted that this shift is influencing product strategy and dealmaking, because deeper integration into day-to-day operations raises switching costs and strengthens long-term retention.

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