BUZZ Stock: VanEck Social Sentiment ETF Profile & Analysis (2026)
A thematic exchange-traded fund that leverages artificial intelligence to identify large-cap U.S. stocks with the strongest positive investor sentiment across social media and online platforms. — Updated May 2026 with current AUM, expense ratio, holdings, and performance data.
The VanEck Social Sentiment ETF (BUZZ) represents a unique intersection of behavioral finance and advanced machine learning. By utilizing a rules-based index that employs Natural Language Processing (NLP), BUZZ attempts to capture the “wisdom of the crowd” by monitoring social media, blogs, and news cycles for bullish signals. This often leads to high exposure in sectors where retail investor interest is most concentrated, such as the technology giants found on the Complete List Of Semiconductor Companies Listed On U.S. Exchanges.
Unlike traditional growth funds that rely strictly on fundamental financial statements, BUZZ focuses on stocks that are gaining traction in online discussions. With a monthly rebalancing schedule, the fund aims to stay current with rapidly shifting market narratives. This dynamic approach means the portfolio can pivot quickly from standard growth names to high-conviction retail favorites, providing a high-octane alternative to traditional large-cap equity strategies.
Key Takeaways — BUZZ Stock
BUZZ uses sophisticated NLP to scan millions of online data points every month to find stocks with the highest degree of positive investor perception.
Because investor sentiment changes quickly, the fund rebalances monthly, often resulting in a portfolio turnover rate exceeding 100% annually.
The index targets U.S. large-cap stocks (market caps over $5B) that maintain high social media consistency and bullish “Buzz Scores.”
Given its reliance on social sentiment, the fund often holds volatile assets, making it prone to sharper price swings than broad market indices.
BUZZ — Live Price Chart
Real-time chart from TradingView.
BUZZ ETF Vitals & Key Statistics
Core data as of May 2026.
| Data Point | Value | Data Point | Value |
|---|---|---|---|
| Full Name | VanEck Social Sentiment ETF | Ticker | BUZZ |
| Issuer | VanEck (Van Eck Associates Corporation) | Asset Class | U.S. Equity — Large Growth |
| Index Tracked | BUZZ NextGen AI US Sentiment Leaders Index | Structure | ETF (Open-Ended) |
| Expense Ratio | 0.75% | AUM | $107.81M |
| Inception Date | March 2, 2021 | Exchange | AMEX |
| No. of Holdings | 75 | Dividend Yield | 0.75% |
| 52-Week High | $36.86 | 52-Week Low | $36.86 |
| Avg Daily Volume | 107.81M | YTD Return | 0.75% |
| 1-Year Return | 0.75% | 5-Year Return | 0.75% |
| Category | Thematic Growth | Dividend Frequency | Annually |
BUZZ Top 10 Holdings (May 2026)
Largest positions by weight. Click columns to sort.
| Rank | Ticker | Company Name | Sector | Weight % |
|---|---|---|---|---|
| 1 | NFLX | Netflix | Communication Services | 3.5% |
| 2 | AMZN | Amazon | Consumer Discretionary | 3.4% |
| 3 | NBIS | Nebius Group NV | Information Technology | 3.3% |
| 4 | PLTR | Palantir Technologies | Information Technology | 3.3% |
| 5 | NVDA | Nvidia | Information Technology | 3.2% |
| 6 | TSLA | Tesla | Consumer Discretionary | 2.93% |
| 7 | GME | GameStop | Consumer Discretionary | 2.91% |
| 8 | META | Meta Platforms | Communication Services | 2.91% |
| 9 | HOOD | Robinhood Markets | Financials | ~2.5% |
| 10 | AMD | Advanced Micro Devices | Information Technology | ~2.5% |
BUZZ — Pros & Cons
✓ Captures Market Momentum
By leveraging real-time retail sentiment data, the fund can identify emerging trends before they appear in traditional fundamental reports.
✗ High Management Fees
At 0.75%, the expense ratio is significantly higher than broad market index funds, requiring strong outperformance to justify the cost.
✓ Dynamic Rebalancing
The monthly reconstitution ensures the portfolio stays aligned with current “buzz” and sheds stocks that have lost investor favor.
✗ Non-Diversified Sector Risk
The fund often concentrates heavily in Tech and Consumer Discretionary sectors, which can lead to significant drawdowns during market rotations.
✓ Broad Online Scanning
The model scans millions of data points across news, blogs, and social platforms, providing a comprehensive view of investor perception.
✗ Lagging Indicator Risk
Because sentiment often follows price action, there is a risk that the AI model identifies a trend just as it is beginning to peak.
Who Should Consider BUZZ?
Active growth investors or momentum traders looking for a “behavioral finance” tilt driven by retail data and AI insights.
Conservative income seekers or long-term value investors who prioritize low turnover and fundamental valuation over market sentiment.
You believe social media buzz is a valid leading indicator for performance. You might pair this with stable List Of Publicly Traded Crude Oil Tanker Companies for better diversification.
Tax-advantaged accounts (IRA/401k) are ideal to shield the investor from potential short-term capital gains resulting from high monthly turnover.
BUZZ vs Similar ETFs
Key metrics comparison.
| ETF | Full Name | Expense Ratio | AUM | Holdings | Div Yield | YTD | Best For |
|---|---|---|---|---|---|---|---|
| BUZZ ★ | VanEck Social Sentiment ETF | 0.75% | $107.81M | 75 | 0.75% | 0.75% | Social Momentum |
| QQQ | Invesco QQQ Trust | 0.20% | ~$250B+ | 100 | ~0.60% | ~12% | Standard Tech Growth |
| ARKK | ARK Innovation ETF | 0.75% | ~$6B | 35-55 | 0.00% | Var. | Disruptive Innovation |
| FOMO | The FOMO ETF | 1.21% | ~$30M | Var. | 0.00% | Var. | Everything Momentum |
BUZZ Technical Analysis
Real-time buy/sell signals.
BUZZ — Risks & Considerations
Thematic Concentration
The fund is heavily weighted toward Technology and Communication Services, sectors where online discussion is most prevalent, making it vulnerable to specific sector downturns.
Sentiment Reversal
Bullish sentiment can reverse instantly. If a crowd’s perception turns negative, the fund may experience sharp declines before the monthly rebalance can adjust.
Model Accuracy Risk
AI and Natural Language Processing models may misinterpret sarcasm, bot-driven hype, or “noise,” leading to the selection of stocks with artificial sentiment scores.
Volatility and Liquidity
The fund often includes volatile names like meme stocks. During market stress, these assets can experience significant price gaps and liquidity constraints.