AIVL0.240%
as of Jul 17
ABNB
GrowthAIRBNB, INC. CLASS A
Airbnb, Inc., together with its subsidiaries, operates a platform for stays, experiences, and services worldwide. The company's marketplace connects hosts and guests online or through mobile devices to book spaces, experiences, and services. It also offers gift cards.
Close · 3M
+8.14%
Held by 2 AI ETFs
QRFT0.140%
as of Jul 8
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 signals8
Win rate63% (5/8)
Avg buy return+3.64%
AIVL · Weight decrease · 2d
WisdomTree’s AIVL, which employs AI to identify genuine value within its pre-filtered universe of US value stocks, appears to be responding to ABNB's current valuation metrics. Despite a 31.24% return on equity, ABNB's P/E ratio of 34.96 and a P/B ratio of 10.19 likely present a less compelling value proposition for the AI’s fundamental and valuation scoring models, especially as its price sits at 98% of its 52-week high. The consecutive weight decrease from 0.2460% on July 15th to 0.2403% on July 17th indicates the AI is actively reducing exposure, discerning this stock is drifting outside the core value factor criteria. This adjustment reflects the AI's mandate to distinguish genuine value opportunities from potential value traps, particularly as the stock has seen a 30-day return of +9.2% without a commensurate improvement in underlying value from the AI's perspective.
weight 0.246% → 0.240% (-0.006 pp)·stock up 3.4% in the 30 days before
Jul 17·entry $145.98·now $144.94
-0.71%
since Jul 17
AIVL · Accumulation · 5d
ABNB currently trades at $147.80, sitting at 99% of its 52-week high, following a 30-day return of +10.6%. This price trajectory presents a nuanced situation for AIVL, which targets US value stocks using AI to discern genuine value opportunities within a pre-filtered universe. Despite ABNB's P/E of 35.59 and P/B of 10.19, metrics that might typically flag it as a growth stock rather than a deep value play, the AI within AIVL likely identifies underlying fundamental strength. The 31.24% ROE and 12.6% revenue growth suggest ABNB’s profitability and business momentum contribute positively to the AI’s assessment of genuine value, distinguishing it from potential value traps. Such metrics, alongside a pre-filtered value universe, inform the AI’s gradual accumulation pattern, as seen in AIVL increasing its weight from 0.2431% to 0.2460% over eight trading days.
weight 0.243% → 0.246% (+0.003 pp)·stock up 12.2% in the 30 days before
Jul 15·entry $148.38·now $144.94Fresh
-2.32%
since Jul 15
AIVL · Weight increase · 2d
AIVL's AI, specifically designed to distinguish genuine value from value traps within its pre-filtered universe of approximately 100 US value stocks, appears to have increased its allocation to ABNB. This move likely stems from the AI's rigorous fundamental and valuation scoring methodology, which prioritizes metrics like return on capital. While ABNB's price is near its 52-week high, the system's periodic rebalancing mechanism seems to have recognized the underlying strength in the company's Return on Equity, which stands at 31.24%. This specific financial metric, alongside others, likely signals to the AI that ABNB represents a quality allocation within its value-tilted universe, justifying a greater weighting despite market price movements. The AI's decision reflects its assessment of the stock's intrinsic worth, going beyond a superficial view of its valuation metrics.
weight 0.239% → 0.246% (+0.007 pp)·stock up 13.1% in the 30 days before
Jul 10·entry $148.62·now $144.94Fresh
-2.48%
since Jul 10
AIVL · Accumulation · 5d
WisdomTree’s AI-managed AIVL, designed to distinguish genuine value from value traps within its US value-factor universe, systematically increased its ABNB allocation despite the company's elevated P/E and P/B ratios. The AI's process likely recognizes ABNB's efficient capital deployment, evidenced by a 31.24% Return on Equity, as a key fundamental indicator overriding concerns about its current valuation. This measured accumulation, observed through a series of incremental weight increases from 0.2230% to 0.2411% over two weeks in June, aligns with the fund's periodic rebalancing schedule for its approximately 100 US value stocks. Even with ABNB trading at the upper end of its 52-week range, the AI's model evidently perceives sufficient underlying strength to justify continued exposure, differentiating the stock from a simple value trap at current price levels.
weight 0.223% → 0.241% (+0.018 pp)·stock up 10.2% in the 30 days before
Jun 26·entry $145.56·now $144.94Fresh
-0.43%
since Jun 26
AIVL · Weight increase · 2d
WisdomTree's AIVL, deploying AI to discern genuine value from value traps within its approximately 100-stock US value universe, appears to be emphasizing ABNB's fundamental quality. Despite ABNB's P/E of 34.58, the AI’s model likely prioritized the company's strong 31.24% return on equity and consistent revenue growth of 12.6%. The consecutive increases in ABNB's weighting observed throughout June, such as the rise from 0.2361% to 0.2425% between June 16 and June 24, suggest a sustained positive assessment by the AI. This continuous allocation by the fund, which rebalances periodically rather than daily, indicates the AI perceives enduring intrinsic value in ABNB, even as the stock trades at its 52-week high of $144.40.
weight 0.232% → 0.242% (+0.010 pp)·stock up 9.1% in the 30 days before
Jun 24·entry $144.40·now $144.94Fresh
+0.37%
since Jun 24
AIVL · Weight increase · 2d
ABNB is presently priced at $142.41, nearing its 52-week high of $144.18, following a 90-day return of +18.4% but a relatively flat +1.3% over the past year. AIVL's AI, which sifts through a US value-factor pool using fundamental and valuation metrics to differentiate genuine value from traps, would have evaluated this price trajectory against ABNB's underlying financial health. While ABNB carries a P/E of 33.33 and P/B of 10.19, its 31.24% ROE and 12.6% revenue growth likely provide the AI model, which considers margins, return on capital, and debt, with a justification for its higher valuation within a value context. The subsequent consecutive weight increases within AIVL's holdings, rising to 0.2361% and 0.2393%, indicate the AI's algorithm confirmed or heightened its view on ABNB, identifying it as a compelling allocation within its value framework, even as the stock trades at 99% of its 52-week range.
weight 0.223% → 0.239% (+0.016 pp)·stock up 8.6% in the 30 days before
Jun 18·entry $142.41·now $144.94Fresh
+1.78%
since Jun 18
AIVL · Weight decrease · 2d
AIVL's AI, tasked with identifying genuine value within its US value-factor pool and managing a portfolio of approximately 100 US value stocks, appears to have flagged ABNB for reduced allocation. The fund's method, which uses a combination of fundamentals and valuation metrics, drives these periodic adjustments rather than daily rebalancing. ABNB's PBR of 10.19, for example, especially when the stock is currently at 91% of its 52-week high, likely presents a less favorable profile to the AI's value screening. This suggests the algorithm is discerning ABNB as less compelling within its defined fundamental and valuation framework, despite a 31.24% ROE. The consecutive weight decrease observed in ABNB aligns with the AI categorizing it as less of a true value opportunity.
weight 0.233% → 0.223% (-0.010 pp)·stock down 3.4% in the 30 days before
Jun 11·entry $130.87·now $144.94
+10.75%
since Jun 11
AIVL · Weight increase · 2d
AIVL's portfolio data reveals a pattern of consecutive weight increases for ABNB, observed on May 14, May 15, and again on June 1, following an earlier period of minor reductions in allocation. This gradual accumulation, occurring as ABNB experienced a -5.8% 30-day price correction while remaining near its 52-week peak, suggests AIVL's AI-driven methodology identified a transient buying opportunity within its pre-filtered value pool. Despite a PBR of 10.19 and PER of 22.31, ABNB's 31.24% return on equity and 12.6% revenue growth likely signaled the underlying quality metrics the AI uses to identify genuine value and avoid potential value traps. Given AIVL's periodic rebalancing schedule, these measured and sustained increases indicate the AI's algorithm continuously scored ABNB favorably on fundamentals and valuation as its price adjusted, prompting minor adjustments rather than a single, sudden reweighting.
weight 0.233% → 0.237% (+0.004 pp)·stock down 1.8% in the 30 days before
Jun 1·entry $137.87·now $144.94Drifting
+5.13%
since Jun 1
AIVL · Weight decrease · 3d
The AI ETF's consecutive weight decrease in ABNB likely reflects a systematic de-risking strategy, prompted by its high valuation (PER 31.84, PBR 10.19) in relation to current market conditions or evolving growth expectations for the consumer discretionary sector. Despite strong ROE, the algorithm may be recalibrating its risk-reward assessment for this high-multiple stock. For retail investors, this trend suggests a need to conduct their own thorough re-assessment of ABNB's valuation and future growth prospects, considering potential market shifts that a sophisticated AI model might be anticipating.
weight 0.248% → 0.233% (-0.015 pp)·stock down 0.7% in the 30 days before
May 13·entry $132.97·now $144.94
+9.00%
since May 13
AIVL · Weight decrease · 2d
The AI ETF likely initiated a consecutive weight decrease in ABNB due to its algorithm detecting a relatively high valuation (PER 32.44, PBR 10.19) that may no longer be fully justified by its 12.6% revenue growth, signaling a potential shift in risk-reward perception. For retail investors, this indicates that an institutional AI fund, driven by data, is becoming less optimistic about ABNB's near-term prospects, warranting a re-evaluation of the stock's current valuation and future growth potential.
weight 0.248% → 0.236% (-0.011 pp)·stock up 4.0% in the 30 days before
May 12·entry $135.48·now $144.94
+6.98%
since May 12
AIVL · Sudden change · 1d
The AI ETF likely initiated this sudden, large weight reduction in ABNB because its model indicated the stock's high valuation multiples (PBR 10.19, PER 34.2) were no longer justified by its expected growth or that the risk-reward balance had significantly deteriorated. For a retail investor, this highlights that AI-managed funds can swiftly de-risk from high-valuation growth stocks when their algorithms detect a shift in fundamental outlook or increased downside risk, emphasizing the importance of diversification and independent valuation analysis.
weight 1.152% → 0.247% (-0.905 pp)·stock up 11.1% in the 30 days before
Apr 30·entry $140.36·now $144.94
+3.26%
since Apr 30
AIVL · Weight decrease · 2d
The AI ETF likely decreased ABNB's weight due to its high PER and PBR, suggesting the stock might be overvalued relative to its revenue growth, even with strong ROE. This consecutive reduction implies the AI system is detecting a sustained negative signal, such as anticipated growth deceleration or a re-evaluation of market multiples. Retail investors should view this as a prompt to critically assess ABNB's valuation and future growth potential beyond its past profitability, considering the market might be pricing in slower expansion.
weight 1.162% → 1.138% (-0.024 pp)·stock up 13.2% in the 30 days before
Apr 28·entry $139.04·now $144.94
+4.24%
since Apr 28
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 5
AI ETFs like AIVL are currently accumulating Airbnb shares, indicating a positive outlook. This contrasts with the framework's verdict of 'Fail,' which is driven by the lack of historical financial data to assess long-term health metrics and the absence of a discernible margin of safety at the current price.
- Circle of CompetenceThe platform's transaction-based unit economics appear sufficiently stable and predictable to reasonably project cash flows over a ten-year horizon.
- Economic MoatAirbnb possesses strong network effects and significant brand power, creating a durable competitive advantage in the short-term rental market.
- ManagementInsufficient data is provided to evaluate management's candor, capital allocation discipline, or extent of skin in the game.
- Financial HealthThe provided data, showing only the most recent ROE, is insufficient to confirm the required 10-year average ROE and yearly minimums, and details on debt and owner earnings are absent.
- Margin of SafetyThe current valuation multiples, particularly the PER of 35.66, suggest the stock is trading at a fair to premium price, making a clear margin of safety unlikely.
Airbnb demonstrates a strong circle of competence and a durable economic moat based on its platform model and brand strength. However, the analysis fails to confirm the rigorous financial health criteria due to limited historical data. Furthermore, the current valuation multiples suggest the absence of a margin of safety, leading to an overall 'Fail' 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.