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Vic Chen
Vic Chen

Posted on • Originally published at 13finsight.com

AQR's 13F Has 16,934 Positions — And the Momentum Signals Are Screaming (NOW +953%, NFLX +691%)

Cliff Asness's AQR Capital Management filed Q4 2025 with $190.6 billion across 16,934 holdings. That's one of the broadest portfolios in the entire 13F database.

But the headline isn't the breadth — it's the momentum. AQR added massively to ServiceNow (+953%), Netflix (+691%), and Chipotle (+342%) in a single quarter. The factor engine is firing on all cylinders.

The filing snapshot

Metric Value
13F AUM $190.6B
Position count 16,934
Average position ~$11.3M
Largest QoQ adds NOW +953%, NFLX +691%, CMG +342%
Filer type Systematic / factor-based (quant)
Founder Cliff Asness (factor investing pioneer)

What 16,934 positions means

AQR doesn't pick stocks the way Buffett does. They run systematic strategies based on academic factors:

  • Momentum: Buy winners, sell losers
  • Value: Buy cheap, sell expensive
  • Quality: Buy profitable, sell unprofitable
  • Low volatility: Buy stable, sell volatile

16,934 positions is the output of these factor models applied across the entire investable universe. Each position is a statistical bet, not a researched conviction call.

Why this matters for interpretation

  • Individual positions don't matter: Position #8,000 in AQR's portfolio has no investment thesis behind it
  • Aggregate factor exposure matters: The TOTAL pattern of adds and trims reveals which factors are being expressed
  • The largest adds reveal factor direction: NOW +953% doesn't mean an analyst loved ServiceNow. It means ServiceNow scored high on AQR's factor models this quarter.

The momentum signal: NOW, NFLX, CMG

The three largest percentage adds are all momentum names:

ServiceNow (NOW) — +953%

  • Stock performance: UP significantly in 2025 (AI-driven enterprise software demand)
  • Momentum signal: Price trend is strongly positive → AQR's model loads more
  • Not a thesis on ServiceNow's product → a thesis on momentum as a factor

Netflix (NFLX) — +691%

  • Stock performance: UP significantly (ad tier growth, password sharing crackdown success)
  • Momentum signal: Sustained uptrend across multiple lookback periods
  • AQR adding 691% = the momentum score jumped dramatically

Chipotle (CMG) — +342%

  • Stock performance: UP (same-store sales growth, unit expansion)
  • Momentum signal: Consumer brand with accelerating price trend

The common thread

All three are stocks with strong recent price performance. AQR's model identified them as high-momentum and allocated accordingly. The factor is the thesis, not the company.

How to read quant fund 13Fs

Do

  • Look at aggregate patterns (which factors are being expressed?)
  • Track factor rotation (was AQR momentum-heavy last quarter too, or is this new?)
  • Compare to other quant funds (Two Sigma, Renaissance, D.E. Shaw) for factor consensus
  • Use the largest adds/trims to identify which stocks score highest on momentum/value/quality

Don't

  • Treat individual positions as stock picks (they're not)
  • Follow AQR's small positions (statistical noise)
  • Assume AQR is "bullish on ServiceNow" (they're bullish on momentum; NOW happens to score high)
  • Compare AQR to Berkshire or ARK (completely different investment process)

AQR vs. other quant filers

Firm AUM Positions Approach
AQR $190.6B 16,934 Factor-based (momentum, value, quality)
Renaissance $100B+ ~3,000 Statistical arbitrage
D.E. Shaw $182B 5,839 Multi-strategy quant
Two Sigma $60B+ ~5,000 Machine learning / data-driven

AQR has the broadest portfolio because their factor models apply to the widest universe. Renaissance and Two Sigma are more selective; D.E. Shaw is in between.

What the momentum tilt tells you about the market

When AQR's momentum factor is "firing on all cylinders" (huge adds to winning stocks), it tells you:

  1. Price trends are persistent: Winning stocks kept winning, validating momentum as a factor
  2. The market is trend-following: Momentum works best in trending markets, poorly in reversals
  3. Risk of momentum crash: When momentum is extremely strong, the unwind (when it comes) can be violent
  4. Factor crowding possible: If AQR, Two Sigma, and other quants are all loading the same momentum names, the trade is crowded

Originally published at 13F Insight

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