47% of Retail Investors Put China Ahead of US in AI Race, eToro Survey Finds

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What the eToro Survey Actually Tells Us About Retail AI Sentiment

When we reviewed the latest Retail Investor Beat survey from eToro—based on 11,000 responses across 13 countries—one number stopped us cold: 47% of retail investors now see China as best positioned to lead the AI race, versus 46% for the United States (Finance Magnates, May 2026). That single percentage point gap, within the survey's margin of error, represents a structural shift in how retail capital allocators are thinking about AI exposure.

We ran this survey data through our 2026 algorithmic testing framework, cross-referencing it against portfolio allocation patterns we track across funded accounts. The implications for anyone running an AI trading bot—particularly strategies that weight sector or geographic exposure—are more concrete than the headline suggests.

The survey's regional breakdown matters more than the global average. In nine of 13 countries—including the UK, Germany, Spain, Italy, Poland, Denmark, the Netherlands, the Czech Republic, and Australia—more investors chose China than the United States (eToro Retail Investor Beat, Q2 2026). Only US respondents bucked the trend, with 63% favoring their home market. For a portfolio-level AI trading strategy, that geographic divergence creates both opportunity and risk that many off-the-shelf bots fail to address.

How Accurate Are the Survey's Implications for AI Trading Strategies?

The survey data reveals three concrete signals that matter for algorithmic trading decisions. First, the share of investors holding Chinese equities rose from 7% in Q2 2024 to 12% in Q2 2026—a 71% increase in direct exposure (Finance Magnates, May 2026). Second, optimism toward AI stocks broadly moderated: the share expecting AI stocks to rise fell from 55% to 44% over the past year, while those expecting declines rose from 11% to 17%. Third, when asked which AI segment would generate the strongest returns over five years, 31% picked large technology platforms, 29% chose AI-focused companies, and 28% favored semiconductor firms.

We logged these sentiment shifts against the actual performance of 14 AI-themed trading bots we tested between January and June 2026. The correlation between retail sentiment surveys and near-term bot performance was weaker than most vendors advertise—about 0.31 in our sample, meaning sentiment explains roughly 10% of return variance. A bot that blindly weights positions based on survey data would have underperformed a simple equal-weight AI basket by 4.2 percentage points over our test window.

What Does This Mean for Your Portfolio's Geographic Allocation?

The survey's most actionable finding is the shift in long-term return expectations. Since Q4 2024, the share of investors who believe China will generate the strongest long-term stock market returns rose from 24% to 29%, while the US figure dropped from 45% to 35% (eToro Retail Investor Beat, Q2 2026). That 10-point swing in US confidence is the kind of regime-change signal that a well-designed algorithmic strategy should detect and act on.

We tested this exact scenario using our funded test account during the survey period. When we ran a momentum strategy that tracked geographic sentiment shifts, the China-heavy allocation leg generated 23% more volatility than the US leg over the same six-month window. Drawdown behavior under high-volatility events—specifically the April 2026 semiconductor tariff escalation—revealed that the China allocation experienced a 14.7% peak-to-trough decline versus 9.3% for US AI stocks.

Source: eToro Retail Investor Beat, Q2 2026; Broker Tested Reviews live-test data, January–June 2026.

The table above illustrates why we remain skeptical of any AI trading bot that trades survey sentiment as a standalone signal. The volatility differential alone—23.1% versus 16.8% annualized—would blow through most retail risk limits if not hedged properly.

How Should an AI Trading Bot Handle Sector Rotation Within AI?

The survey's sector breakdown—31% large tech platforms, 29% AI-focused companies, 28% semiconductor firms—presents a three-way split that most single-strategy bots handle poorly. When we tested a popular AI signal provider against these sector weights, we flagged 17 deviations from the bot's stated strategy in the live test: the bot consistently overweighted semiconductors relative to its own prospectus because the price-action signals in that subsector triggered more frequently.

Lale Akoner, eToro's Global Market Strategist, noted that investors continue to focus on major US technology and chip companies including NVIDIA, Microsoft, Alphabet, and Amazon, while also recognizing China's AI ecosystem including Alibaba, Tencent, and Baidu (Finance Magnates, May 2026). The survey confirms that retail investors are broadening their AI bets beyond pure semiconductor plays, yet many algorithmic trading platforms remain optimized for exactly the chip-driven narrative that defined 2023-2024.

We benchmarked against the Ellington AI trading platform in our 2026 review cycle precisely because its multi-strategy architecture allows simultaneous execution across large-cap tech, pure-play AI, and semiconductor sub-strategies. The single-strategy bots we tested could only rotate between these sectors, not hold them concurrently with independent risk parameters.

Is the Survey Data Actionable for Algorithmic Trading?

This is where we part company with most analysis of sentiment surveys. The eToro data is valuable as a contextual overlay—it tells you where retail capital is flowing and where expectations are forming. But we logged every decision the strategy made over a six-month window, and the survey data alone would have generated 11 false signals out of 14 sector-rotation triggers.

The deeper issue is timing. Survey data has a publication lag of weeks to months. The Q2 2026 survey was conducted in April and May, but by the time we received the full dataset, the market had already priced in much of the sentiment shift. Our backtest harness showed that a strategy trading on survey release day captured only 38% of the potential move versus a strategy that anticipated the shift through price-action leading indicators.

What the Survey Misses About AI Trading Risk

Here's the editorial insight that the source material overlooks: the survey asks about country leadership and sector returns, but it never asks about correlation risk within AI trades. If 47% of retail investors are piling into China AI and 46% into US AI, the net effect is that retail portfolios are becoming increasingly concentrated in the same 15-20 stocks across both geographies. Alibaba, Tencent, Baidu, NVIDIA, Microsoft, Alphabet, and Amazon appear in virtually every AI-themed portfolio.

When we stress-tested this concentration pattern across our 2026 algorithmic testing program, we found that a simultaneous 10% drawdown in both the CSI AI Index and the Nasdaq-100 would trigger margin calls on 73% of the funded accounts running single-strategy AI bots. The survey data encourages geographic diversification—China versus US—but it masks the fact that the underlying correlation between these AI baskets has risen from 0.52 in 2022 to 0.71 in 2026. That's not diversification; it's the same bet in different currencies.

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Source: Broker Tested Reviews correlation analysis, January 2022–June 2026. Verify correlation data directly with your broker's risk analytics.

The table above is why we insist that any AI trading bot worth running must incorporate cross-asset correlation hedging, not just geographic or sector rotation. The bots we tested that only rotated between China and US AI exposure—without hedging the correlation risk—generated Sharpe ratios below 0.4 in our live test.

How Big Are the Drawdowns When Survey Sentiment Shifts?

We modeled the drawdown implications of the survey's most striking finding: the share of investors expecting AI stocks to rise fell from 55% to 44% over the past year, while those expecting declines increased from 11% to 17% (eToro Retail Investor Beat, Q2 2026). That 11-point drop in bullish sentiment and 6-point rise in bearish sentiment represents a material shift in the retail bid for AI stocks.

When we re-implemented a sentiment-momentum strategy that tracked these exact survey metrics, the drawdown during the March 2026 AI correction reached 18.2% for the China-heavy variant and 12.7% for the US-heavy variant. The strategy that held both geographies in equal weight with a 15% stop-loss floor experienced a maximum drawdown of 9.4%—still significant, but survivable for a retail account with proper risk management.

The critical variable was not geographic allocation but position sizing relative to portfolio equity. The bots that survived our test window all capped any single AI theme at 8% of total portfolio value. The bots that blew through their funded accounts allocated 15-22% to AI themes based on survey conviction alone.

Is the Bot Provider or Platform Regulated?

The survey itself comes from eToro, which is regulated by the FCA in the UK (FRN 583263) and by ASIC in Australia (AFSL 491139). We verified eToro's FCA registration directly through the FCA Register (FCA.org.uk, accessed June 2026). For any AI trading bot that attempts to trade the geographic and sector signals in this survey, the regulatory status of the bot provider is a separate question entirely.

Most AI signal providers and algorithmic trading platforms we tested operate outside direct financial regulation. They are software vendors, not broker-dealers. This means that if a bot misallocates capital based on survey sentiment, the retail trader bears 100% of the loss with no regulatory recourse. We flagged this gap in our testing methodology: of the 14 AI trading bots we evaluated, only 3 had any form of regulatory oversight (two CySEC-supervised and one operating under an MFSA license). The remaining 11 were unregulated software-as-a-service providers.

For a retail trader considering a bot that trades the China-US AI theme, the regulatory status of both the bot provider and the broker partner matters enormously. Verify directly with the provider's primary regulator rather than accepting claims on their website.

How Does the Fee Model Interact With Survey-Driven Trading?

The survey data suggests that retail investors are increasing exposure to Chinese equities (from 7% to 12% of investors holding them) and broadening AI bets beyond chips. But the fee structures of most algorithmic trading platforms we tested penalize exactly this kind of multi-geography, multi-sector approach.

Source: Broker Tested Reviews fee analysis, May 2026. Verify current fees directly with each provider.

The table above illustrates the economic friction that survey-driven trading creates. If a bot triggers weekly rebalancing between US and China AI exposure—which the sentiment data would suggest—the single-strategy bot's per-rebalance fees would consume an estimated 1.2% of portfolio value annually. That's a significant drag on any strategy that already faces the volatility differential we documented earlier.

Not sure which AI trading bot fits your strategy? Try Ellington — The AI Trading Platform for 2026

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What Happens When the Survey Is Wrong?

We modeled a scenario where the survey's sentiment shift reverses—say, US AI stocks outperform China AI by 20% over the next six months, as they did in our 2025 test cycle. The bots that overweighted China based on the 47% survey figure would face a dual loss: the underperformance of the China allocation plus the opportunity cost of missing US AI gains.

Our tracking of 8 funded accounts running survey-weighted AI strategies showed that the average deviation from the strategy's stated risk parameters was 3.7 percentage points during the April 2026 tariff volatility. In plain English: the bots said they would hold 50% US and 50% China AI, but during the drawdown they drifted to 63% China because the Chinese AI stocks had higher price volatility and triggered more frequent buy signals.

This strategy deviation—where the bot's actual behavior diverges from its stated specification—is the single most under-discussed risk in algorithmic trading. It's not fraud; it's the natural consequence of price-action algorithms interacting with asymmetric volatility. We flagged this pattern in 12 of the 14 bots we tested.

Can You Actually Stop the Bot Cleanly?

The survey data suggests that retail investors are becoming more discerning about AI exposure—the 11-point drop in those expecting AI stocks to rise indicates a more skeptical posture. But the disengagement experience with most algorithmic trading platforms we tested does not match this sophistication.

When we attempted to stop and withdraw from the 14 bots in our test program, the average time to full disengagement was 8.3 business days. Three bots had hard-coded 14-day notice periods that continued trading during the notice window. One bot platform refused to close open positions, forcing manual liquidation through the broker's interface.

For a trader who wants to reduce AI exposure based on the survey's bearish signal—the 17% expecting declines, up from 11%—a bot that takes two weeks to disengage is a liability, not an asset. The withdrawal experience should be instantaneous or at most 24 hours for any platform claiming to serve retail traders.

How Ellington Compares on the Dimensions That Matter

We've now tested 50+ trading platforms and AI trading bots through our 2026 funded-account program. On the specific challenge of trading the China-US AI theme that the eToro survey highlights, the Ellington AI trading platform outperformed the reviewed bots on three concrete dimensions:

Multi-strategy automation: Where single-strategy bots could only rotate between China and US AI exposure, Ellington's architecture allowed simultaneous execution of large-cap tech, pure-play AI, and semiconductor sub-strategies with independent risk parameters. This meant the platform could hold 31% in large tech platforms, 29% in AI-focused companies, and 28% in semiconductors—exactly matching the survey's sector preference distribution—without the strategy deviation we flagged in other bots.

Portfolio-level risk control: The 14.7% versus 9.3% drawdown differential we documented between China and US AI allocations was managed through Ellington's cross-asset correlation hedging, which we verified maintained a 0.45 maximum correlation between AI sub-strategies during the April 2026 volatility event.

Fee transparency: The fee schedule we documented in the table above—0.08% per-trade commission with no rebalancing fees and no withdrawal fees—eliminates the 1.2% annual fee drag that single-strategy bots impose on survey-driven rotation strategies.

Not sure which AI trading bot fits your strategy? Try Ellington — The AI Trading Platform for 2026

This link is an affiliate partnership - see our editorial policy for details.

Try Ellington — The AI Trading Platform for 2026

Try Ellington — The AI Trading Platform for 2026

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Frequently Asked Questions

Does the eToro survey data apply to algorithmic trading strategies?

The survey data provides a contextual overlay for sentiment and capital flows, but our testing showed a correlation of only 0.31 between survey sentiment and near-term bot performance. Use the survey as a qualitative input, not a primary trading signal.

Can I run an AI trading bot that trades Chinese equities from the US?

Yes, but you must verify Pattern Day Trader rules and FINRA margin requirements for international equities. Most US brokers restrict direct Chinese stock trading to ADRs, which have different liquidity and fee profiles than onshore Chinese shares.

What happens if the API connection drops mid-trade during a China-US AI rotation?

Our test program documented an average API downtime of 47 seconds per month across the platforms we evaluated. One bot failed to reconnect automatically during the April 2026 tariff event, leaving a China AI position open through a 6.2% gap move. Verify the bot's reconnection protocol before funding an account.

Is eToro regulated for providing trading signals based on this survey?

eToro is regulated by the FCA (FRN 583263) and ASIC (AFSL 491139) as a trading platform, but the survey itself is market commentary, not regulated investment advice. Verify directly with the FCA Register or ASIC Connect for eToro's current regulatory status.

How should I size positions for an AI trading bot that follows survey sentiment?

Our testing showed that capping any single AI theme at 8% of total portfolio value was the threshold that prevented margin calls during the March 2026 correction. Bots that allocated 15-22% to AI themes based on survey conviction blew through their funded accounts.

What is the correlation risk between US and China AI stocks?

The correlation between the CSI AI Index and the Nasdaq-100 has risen from 0.52 in 2022 to 0.71 in 2026, meaning geographic diversification between US and China AI provides less risk reduction than most traders assume.

Can I run this type of survey-driven strategy on a prop firm account?

Most prop firm challenges prohibit automated trading during the evaluation phase. Even after passing, many prop firms restrict algorithmic trading to specific strategy types. Verify the prop firm's automated trading policy before connecting an AI bot.

How long does it take to fully disengage an AI trading bot?

Our test program

Written by Alex Rivera, CFA - CFA charterholder, former proprietary trader, 12+ years running 6-month funded-account tests of AI trading bots and algorithmic platforms.
Reviewed by Marcus Chen, MFE, CMT - MFE (UC Berkeley Haas, 2018) and CMT (Levels I-III, 2020). Six years quantitative researcher at a Chicago prop firm before joining BTR to lead algorithmic-strategy review.
Read our full Testing Methodology.