Bitget UEX Report Shows Retail Investors Expanding Beyond Crypto As 52% Add Equities And 51% Adopt AI Tools

Cryptocurrency exchange Bitget announced that it has published its Bitget User Asset Allocation Report 2026, presenting data indicating that retail investors are increasingly expanding their portfolios beyond cryptocurrency into commodities, equities, and AI-assisted investment strategies as asset allocation becomes more diversified across global markets. The report is based on a combination of trading activity recorded on Bitget and survey responses collected from more than 6,000 users worldwide.

Cryptocurrency remained the dominant source of trading activity in the first quarter of 2026, with 86% of surveyed users reported to be holding crypto assets. At the beginning of January, crypto accounted for nearly all trading volume, before gradually declining to a range between 60% and 80% by March as participation expanded into additional asset classes. Over the same period, traditional asset trading, led primarily by gold, increased from near zero to between 20% and 40% of total activity, representing the strongest quarterly growth in non-crypto trading activity recorded on the platform.

The data further indicated that 52% of users globally now hold equities in addition to cryptocurrencies, while 35% hold gold or other precious metals, positioning commodities as the most widely adopted non-crypto asset category among respondents. Artificial intelligence-related themes, along with precious metals and crude oil, were identified as the investment narratives most closely associated with opportunity sets in 2026.

Among high-net-worth participants, diversification trends appear to be more pronounced. Bitget users recorded an average annual return of 13% in 2025, while approximately 6% of VIP users achieved annual returns ranging from 51% to 100%. Among surveyed high-value users, 74% indicated plans to expand allocations across crypto, equities, and commodities in 2026 as part of more active risk management strategies.

Regional trading patterns were also found to reflect local macroeconomic conditions. In East Asia, 60% of users cited the avoidance of currency conversion as a key reason for using USDT-based settlement, while 48% emphasized avoiding traditional account-opening procedures. In Southeast Asia, 46% of users identified access to leverage as a primary motivation for trading traditional assets. In Latin America, 78% of respondents stated that diversification and protection against inflation or currency depreciation were the main drivers behind holding both crypto and traditional assets.

AI Adoption And Demand For Unified Trading Platforms Accelerate As Bitget Survey Highlights Shift Toward Macro-Driven, Multi-Asset Investing

The report also highlighted growing integration of artificial intelligence into trading behavior, with 51% of surveyed users stating that they already use AI tools to support investment decision-making. Bitget’s AI products, including GetAgent, GetClaw, and Agent Hub, are increasingly being used to analyze earnings reports, commodity price movements, macroeconomic trends, and onchain signals across multiple asset classes.

“Retail trading behavior is becoming more macro-aware. Users are moving capital across asset classes based on liquidity, volatility, and market access, and they increasingly expect one platform to support that efficiently,” said Gracy Chen, CEO of Bitget in a written statement. “Stablecoin-based settlement is becoming a practical entry point for broader market participation. The stronger demand for commodities, equities, and AI tools shows that users are building portfolios around global signals, not around a single asset category,” she added. 

Survey findings additionally indicate strong demand for the Universal Exchange model. Approximately 71% of users identified USDT settlement as the most important feature, while 65% highlighted seamless switching across crypto, equities, forex, and commodities within a single account as a top priority. Respondents consistently described an ideal trading platform as one that integrates global asset access, stablecoin-based settlement, centralized liquidity, transparent reserve verification, and AI-driven decision support tools within a unified system.

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