PQUS0.760%
as of Jul 21
EQIX
DefensiveEQUINIX INC
Equinix, Inc. shortens the path to boundless connectivity anywhere in the world. Its digital infrastructure, data center footprint and interconnected ecosystems empower innovations that enhance our work, life and planet. Equinix connects economies, countries, organizations and communities, delivering seamless digital experiences and cutting-edge AI quickly, efficiently and everywhere.
Close · 3M
+7.66%
Held by 3 AI ETFs
Signal performance
Each tracked ETF's moves on this stock, grouped by fund. Returns are measured from the signal date to the latest close — hypothetical, no commissions or slippage.
Buy signals7
Win rate14% (1/7)
Avg buy return-4.92%
PQUS · Weight decrease · 2d
Pictet Asset Management's AI ranking system, which manages PQUS's approximately 165 US large-cap holdings with a measured turnover style, appears to be moderating its allocation to EQIX. The fund’s consecutive weight decrease in EQIX, observed from 0.77% to 0.75% between July 15 and 16, indicates a reduced relative attractiveness in the AI's current assessment. This shift likely stems from EQIX's valuation metrics; its PER of 72.73, coupled with revenue growth of 6.67%, suggests a higher price-to-earnings multiple for its growth profile within the US large-cap universe. Such adjustments are consistent with PQUS’s periodic rebalancing and adherence to sector-balance and concentration rules, continuously optimizing the portfolio.
weight 0.770% → 0.750% (-0.020 pp)·stock down 5.2% in the 30 days before
Jul 16·entry $1009.14·now $1017.31
+0.81%
since Jul 16
PQUS · Weight increase · 2d
EQIX's PER of 72.73 and PBR of 5.34, alongside a 10.03% ROE and 6.67% revenue growth, likely influenced Pictet's AI ranking system for PQUS, signaling a US large-cap meeting the fund's criteria for sector-balanced allocation despite its measured turnover. The AI-driven system subsequently initiated a consecutive weight increase for EQIX, moving from 0.7600% on July 11 to 0.7700% on July 12 within its approximately 165 holdings. This strategic adjustment occurred while EQIX experienced a -1.7% 30-day return, positioning the stock at $1051.21 and 94% of its 52-week high. The increase indicates the fund’s model identified an opportunity to reinforce its Real Estate sector exposure, leveraging recent price softness for a stock with a 33.9% one-year return, all while adhering to its strict concentration rules.
weight 0.750% → 0.770% (+0.020 pp)·stock down 0.8% in the 30 days before
Jul 12·entry $1039.53·now $1017.31Fresh
-2.14%
since Jul 12
PQUS · Weight decrease · 2d
Pictet Asset Management's AI ranking system, overseeing its portfolio of roughly 165 US large-cap holdings, appears to have initiated a measured adjustment to its EQIX position during a recent periodic rebalance. This move, manifesting as a consecutive weight decrease from 0.85% to 0.76% between July 1st and July 3rd, suggests the AI reassessed EQIX's attractiveness within the US large-cap universe. The AI's decision to scale back exposure for this Real Estate sector company could be attributed to its elevated valuation metrics, specifically its PER of 69.07, as the fund balances its concentration rules. Such a rebalancing aligns with the fund's stated style of US large-cap management with measured turnover, where the AI prioritizes its internal ranking system and layered sector-balance rules.
weight 0.850% → 0.760% (-0.090 pp)·stock down 6.5% in the 30 days before
Jul 3·entry $998.84·now $1017.31
+1.85%
since Jul 3
PQUS · Weight increase · 3d
EQIX shares are currently trading at $1087.61, near the top of its 52-week range at 97% of its high, reflecting recent gains of +1.0% over 30 days and +14.2% over 90 days. This upward trajectory precedes the observed weight adjustments within the fund. With the stock demonstrating sustained positive price action, Pictet Asset Management's AI ranking system for PQUS likely identified EQIX as a favorable holding within its US large-cap universe, possibly based on relative strength or momentum signals. The ETF’s AI system, operating within sector-balance and concentration rules, appears to have prioritized EQIX's consistent revenue growth of 6.67% and a 10.03% ROE, despite its PER of 76.08 and PBR of 5.34. This specific sequence of weight increases from 0.72% to 0.76% during June 24-26, 2026, indicates that the AI’s re-evaluation during a periodic rebalance led to a measured, successive allocation toward EQIX, aligning with this newer fund’s style of measured turnover.
weight 0.720% → 0.760% (+0.040 pp)·stock up 2.0% in the 30 days before
Jun 26·entry $1091.30·now $1017.31Fresh
-6.78%
since Jun 26
PQUS · Weight increase · 2d
EQIX, exhibiting a PER of 76.08, PBR of 5.34, 10.03% ROE, and 6.67% revenue growth, reflects the characteristics of a growing US large-cap firm, a prime candidate for PQUS’s AI ranking system and its focus on that market segment. Trading at $1095.00, just 2% below its 52-week high, the stock had posted a 14.5% return over 90 days and 22.5% over one year, indicating considerable price momentum. After holding steady for several days, Pictet Asset Management's ETF registered consecutive weight increases in EQIX on June 24 and June 25, moving from 0.72% to 0.74% then 0.75%. This measured uptick, occurring while EQIX approached its price ceiling, implies the AI, operating with sector-balance and concentration rules, responded to sustained positive signals rather than initiating a new position or reacting to short-term volatility, aligning with the fund's measured turnover style.
weight 0.720% → 0.750% (+0.030 pp)·stock up 0.9% in the 30 days before
Jun 25·entry $1087.61·now $1017.31Fresh
-6.46%
since Jun 25
PQUS · Weight increase · 2d
The weight of EQIX within PQUS shifted gradually, ending with a two-day increase from 0.70% to 0.73% between June 17th and 19th. This measured ascent suggests that Pictet's AI ranking system, applied to its US large-cap universe, recognized a compelling combination of momentum and underlying strength in EQIX. The stock's current price of $1092.19, near its 52-week high and reflecting a 90-day return of +27.5%, likely contributed to its elevated ranking, even with a P/E ratio of 75.75. Incrementally adjusting the allocation from 0.70% to 0.73% within this period aligns with PQUS’s strategy of periodic rebalancing and measured turnover, ensuring sector-balance and concentration rules are maintained rather than making an abrupt move. The AI appears to be carefully accumulating this Real Estate sector constituent, balancing its 6.67% revenue growth and 10.03% ROE against its valuation, fitting the newer fund's objective within its ~165 US large-cap portfolio.
weight 0.700% → 0.730% (+0.030 pp)·stock up 4.2% in the 30 days before
Jun 19·entry $1115.94·now $1017.31Fresh
-8.84%
since Jun 19
PQUS · Weight decrease · 2d
The consecutive weight decrease in EQIX by Pictet Asset Management's PQUS ETF suggests its AI ranking system has recalibrated the stock's attractiveness. Within its universe of approximately 165 US large caps, the model's periodic rebalancing appears to have flagged EQIX's elevated valuation, such as its PER of 72.6, as less compelling. This adjustment likely reflects a reassessment against its 6.67% revenue growth and the stock's current price, which sits at 95% of its 52-week high following a -2.7% 30-day return. The fund's measured turnover approach allows for such deliberate, gradual shifts in its portfolio weights.
weight 0.720% → 0.700% (-0.020 pp)·stock down 2.0% in the 30 days before
Jun 13·entry $1064.38·now $1017.31
-4.42%
since Jun 13
PQUS · Weight increase · 2d
weight 0.710% → 0.730% (+0.020 pp)·stock down 0.6% in the 30 days before
Jun 7·entry $1062.74·now $1017.31Fresh
-4.27%
since Jun 7
PQUS · New entry · 1d
The AI ETF likely initiated a position in EQIX due to its strong market position as a data center REIT, anticipating sustained demand from the secular growth of cloud computing and AI infrastructure, despite its high valuation multiples. For retail investors, this highlights that AI-managed funds may prioritize strategic sector exposure and long-term industry tailwinds over traditional value metrics, suggesting a focus on companies providing critical, in-demand services.
weight 0 → 0.060% (new)·stock up 3.9% in the 30 days before
May 10·entry $1086.22·now $1017.31Fresh
-6.34%
since May 10
AIEQ · New entry · 1d
weight 0 → 0.420% (new)·stock down 3.5% in the 30 days before
Jul 1·entry $1013.62·now $1017.31Fresh
+0.36%
since Jul 1
AIEQ · Exit · 1d
The fund maintained a stable 0.1000% allocation to EQIX for over a week before its complete removal on 2026-05-30, indicating a swift, decisive exit rather than a gradual reduction. This abrupt pattern aligns with AIEQ's strategy of daily rebalancing and high turnover, characteristic of a fund among the highest-turnover in the AI ETF universe. With EQIX trading at $1068.04, near 96% of its 52-week high after a 34.3% ninety-day return, its valuation metrics, including a price-to-earnings ratio of 74.08, are elevated. IBM Watson’s sophisticated NLP model, which ingests vast amounts of textual data including news and social posts, likely detected a shift in sentiment or fundamental outlook regarding Equinix, leading to a downgraded daily ranking that triggered its full divestment by EquBot's risk overlay.
weight 0.100% → 0 (exited)·stock down 1.9% in the 30 days before
May 30·entry $1050.77·now $1017.31
-3.18%
since May 30
QRFT · Weight decrease · 2d
Qraft's AI, which evaluates approximately 300 US large-cap stocks like EQIX through a blend of traditional factors and proprietary alternative data, appears to have registered shifts justifying a reduced allocation. The consecutive weight decrease, observed over the recent rebalance cycles, coincides with EQIX's high PER of 69.07, potentially signaling a concern regarding valuation from the AI's 'value' factor component. Furthermore, the stock's 30-day return showing a -5.9% decline suggests negative short-term momentum, a factor QRFT's AI explicitly incorporates in its weekly portfolio adjustments. This measured adjustment within the fund's broad large-cap core style reflects the AI's dynamic re-assessment of risk and reward for this specific Real Estate sector holding.
weight 0.240% → 0.220% (-0.020 pp)·stock down 3.5% in the 30 days before
Jul 1·entry $1013.62·now $1017.31
+0.36%
since Jul 1
Sell signals show what the stock did after the AI exited. A negative number means the AI's exit was well-timed.
Buffett-style framework
Fails the frameworkas of Jul 12
Some AI ETFs show accumulation trends, with AIEQ making a new entry and PQUS increasing its weight, suggesting a bullish sentiment from these funds. This contrasts with the 'Fail' verdict derived from a Buffett-style analysis, which flags significant concerns regarding financial health and valuation, irrespective of the company's strong business fundamentals.
- Circle of CompetenceEquinix's business as a data center REIT, providing essential digital infrastructure under long-term contracts, offers unit economics stable enough to reasonably project future cash flows for a decade.
- Economic MoatThe company benefits from strong network effects through its interconnected global data center platform, creating high switching costs for customers and reinforcing its competitive advantage.
- ManagementInformation on management's candor, capital allocation discipline, and skin in the game is not available in the provided data, preventing an assessment of this stage.
- Financial HealthThe most recent Return on Equity (ROE) of 10.03% does not meet the framework's criterion of a 10-year average ROE of 15% or higher, suggesting an insufficient earnings rate on equity capital.
- Margin of SafetyExtremely high valuation multiples, including a P/E of 72.73 and EV/EBITDA of 29.9, indicate that the current market price offers no defensible margin of safety.
While Equinix operates a predictable business with a strong economic moat due to network effects and high switching costs, it fails to meet the financial health criteria, specifically regarding its Return on Equity. Furthermore, the current market price offers no margin of safety, as indicated by its elevated valuation multiples. Consequently, despite the quality of the underlying business, it does not present an attractive investment opportunity within this value investing framework.
Educational interpretation generated by AI applying frameworks Warren Buffett documented in his shareholder letters and other public writings. Not a statement by Mr. Buffett or Berkshire Hathaway, and not investment advice.