10 Stocks Now Control 16.4% of All US Market Trading Volume And Their Liquidity Is Worse Than You Think
Goldman Sachs data cited by The Kobeissi Letter says the top 10 US stocks accounted for 16.4% of total notional dollar trading volume so far in 2026. Nvidia led at 3.0%, followed by Micron (2.8%), Tesla (2.1%), and SanDisk (1.5%). Liquidity was uneven, with SanDisk’s spread at 12.4 bps versus 5.9 bps for the S&P 500 average.
How this was made
The 30-second read
Why it matters
For traders, the actionable angle is execution risk. The article quantifies spreads and touch sizes for the top turnover names, highlighting that volume concentration does not guarantee tight spreads or deep books, especially during selloffs.
Market read
This is a microstructure and concentration read-through for execution and slippage modeling, not a new catalyst for any single issuer.
What to watch
The article does not control for trade size, venue mix, or algorithmic routing, which can materially change realized spreads and slippage versus simple bid-ask and touch-size snapshots.
Background
The piece uses Goldman Sachs data (via The Kobeissi Letter) to argue that a small set of stocks absorbs a large share of US dollar turnover, yet some of those names have liquidity metrics that look worse than expected.
Ticker impact
Article says Nvidia is the top US turnover absorber at 3.0% and also best-in-class liquidity with 0.9 bps spread.
Near-term price impact is unlikely from this data alone; it mainly informs execution and liquidity risk.
The piece is primarily a liquidity/volume structure analysis, not a new fundamental catalyst for NVDA.
Micron is listed as #2 for dollar turnover at 2.8% and shows 5.2 bps spread, implying execution costs above the S&P 500 average.
No direct directional signal; expect execution-risk sensitivity rather than a fundamental move.
The article provides liquidity metrics and references prior volatility, but does not disclose a new MU-specific event.
Tesla accounts for 2.1% of turnover and is flagged for thinner order-book depth at the best bid/offer despite heavy trading.
Execution-driven volatility risk could be elevated, but direction is not implied by the article.
The newest facts are liquidity comparisons, not a fresh TSLA catalyst.
SanDisk is cited as having the worst average spread at 12.4 bps while still capturing 1.5% of market turnover.
No immediate price call; however, traders may demand wider risk buffers or use liquidity-aware execution.
The article directly quantifies SNDK’s spread disadvantage versus the S&P 500 average.
Microsoft is listed among the top 10 turnover names at 1.4% and is described as having smaller best-bid/offer order sizes than typical S&P 500 constituents.
Likely limited directional impact; more relevant for execution sizing and slippage modeling.
The article frames liquidity paradoxes but does not introduce a new MSFT business or regulatory development.
Apple appears in the top 10 turnover list at 1.3% and is shown with a relatively tight 1.1 bps spread versus the S&P 500 average.
No directional signal; execution quality may be better than the worst offenders.
The article provides metrics but no new AAPL-specific catalyst.
AMD is included as a top-10 turnover name at 1.1% and is shown with 5.2 bps spread, indicating higher execution friction than the S&P 500 average.
Execution costs could be a headwind for active trading; direction not implied.
The newest information is liquidity/spread comparison, not a new AMD fundamental event.
Amazon is listed with 1.1% of turnover and 1.4 bps spread, suggesting relatively good spread-based liquidity among the top-volume names.
No immediate price impact; relevant for execution planning.
The article is a cross-sectional liquidity analysis without a new AMZN catalyst.
Market effects
AI infrastructure and memory/semis are portrayed as concentrating trading flow, which can amplify execution and slippage risk across chip and memory names during volatility.
US market microstructure is highlighted as increasingly top-heavy, implying broader execution fragility during selloffs.
Limited direct global impact; the main takeaway is US liquidity concentration affecting cross-asset risk management for global desks trading US equities.
Counterpoint
Wider spreads or thinner depth in quoted metrics may not translate into worse realized execution for all order types, venues, and algorithms; the impact could be overstated.
Key entities
- companyNvidia
Top turnover absorber (3.0%) and best-in-class spread (0.9 bps) in the article’s liquidity comparison.
- companySanDisk
Worst spread in the top-volume set (12.4 bps) while still capturing 1.5% of turnover.
- companyMicron
Second-highest turnover share (2.8%) with 5.2 bps spread, flagged as part of the AI memory trading concentration.
- companyTesla
2.1% turnover share, flagged for thinner best-bid/offer depth despite heavy trading.
