TechFlow News, May 13: Bitget recently released its “2026 User Asset Allocation Report,” drawing on platform trading data and a survey of over 6,000 users worldwide to illustrate the evolving trend among investors—from focusing solely on crypto assets toward diversified, cross-asset allocation. Q1 data shows that crypto assets remain the dominant trading category, with 86% of surveyed users holding crypto assets. In early January, crypto trading accounted for nearly 100% of total trading volume; by March, it had declined and stabilized within the 60%–80% range. Concurrently, trading in traditional assets—such as gold—surged rapidly, reaching 20%–40% of total trading volume.
From a portfolio composition perspective, 52% of users hold both equities and cryptocurrencies, while 35% hold gold and other precious metals. Commodities have emerged as the most widely adopted non-crypto asset class. High-net-worth users demonstrate even more proactive diversification: Bitget users achieved an average annualized return of 13% in 2025, while approximately 6% of VIP users achieved annualized returns between 51% and 100%. Furthermore, 74% of high-net-worth respondents plan to allocate across crypto, equities, and commodities in 2026 to actively manage risk.
AI tools are increasingly embedded into core trading activities. Fifty-one percent of surveyed users report already using AI to support investment decisions, with Bitget’s suite of products—including GetAgent, GetClaw, and Agent Hub—widely applied for earnings report analysis, commodity price forecasting, macroeconomic event assessment, and on-chain signal interpretation.
Demand for the Unified Exchange (UEX) model was further clarified in the survey: 71% of users identified USDT settlement as the most critical platform feature, while 65% cited seamless switching between crypto, equities, forex, and commodities within a single account as their top priority. Users’ descriptions of an ideal platform consistently emphasize integrated access to global assets, stablecoin settlement, centralized liquidity, reserve verification, and AI-powered decision-support tools.
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