as of Jul 17
META
GrowthMETA PLATFORMS INC
Meta Platforms, Inc. engages in the development of products that enable people to connect and share with friends and family through mobile devices, personal computers, virtual reality (VR) headsets, and AI glasses in the United States, Canada, Europe, Asia-Pacific, and internationally. It operates through two segments, Family of Apps (FoA) and Reality Labs (RL).
Close · 3M
-0.24%
Held by 5 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.
BUZZ · Sudden change · 1d
Trading at $646.01, META currently sits at 82% of its 52-week high, having posted a 30-day return of +2.9% while still down 10.1% over the past year. This recent positive momentum, against a backdrop of financial metrics like 26.18% revenue growth and 33.22% return on equity, likely triggered a concentrated surge in positive online discourse. BUZZ, an algorithmic sentiment tracker that ranks stocks using NLP over social media, detected this heightened sentiment intensity for META, leading to the weight increase from 3.36% to 3.77% across early July. The rapid subsequent adjustment back to 3.39% on July 16th indicates a quick normalization of this retail-crowd signal, which the fund’s index passively reflects.
weight 3.770% → 3.390% (-0.380 pp)·stock up 12.0% in the 30 days before
Jul 16·entry $664.54·now $645.85
BUZZ · Accumulation · 5d
META Platforms’ financials, displaying a 26.18% revenue growth and 33.22% return on equity, fueled a building wave of positive online discussion captured by VanEck’s BUZZ ETF, which tracks sentiment through NLP. This positive sentiment intensified during early July 2026, coinciding with META's 30-day return reaching +6.7% and a current price of $664.54, which sits at 84% of its 52-week high. The ETF, functioning as an algorithmic sentiment tracker based on social media and news, then passively increased its holding in META from 3.18% to 3.77% between July 6th and July 15th, reflecting this sustained, positive retail-crowd signal.
weight 3.180% → 3.770% (+0.590 pp)·stock up 20.2% in the 30 days before
Jul 15·entry $681.31·now $645.85Fresh
BUZZ · Accumulation · 5d
META's financial performance, featuring a 26.18% revenue growth and a 33.22% return on equity, likely contributed to a measurable increase in positive sentiment detected across various social media and news platforms. BUZZ, as an algorithmic sentiment tracker relying on NLP to capture these retail-crowd signals, identified this rising positive intensity during early July 2026. This detection coincided with META's price at $681.31, which represented 86% of its 52-week high and followed a 1-year return of -4.5%, indicating recovery and momentum. The fund's passive methodology then prompted a gradual accumulation of META, increasing its portfolio weight from 3.13% to 3.63% over the two-week period as the stock achieved a 14.0% 30-day return.
weight 3.130% → 3.630% (+0.500 pp)·stock up 16.3% in the 30 days before
Jul 14·entry $661.04·now $645.85Fresh
BUZZ · Accumulation · 5d
META Platforms, Inc., with a Revenue Growth of 26.18% and a Return on Equity (ROE) of 33.22%, alongside a PER of 22.71 and PBR of 7.66, exhibits strong financial health that likely fueled positive sentiment in social media and news. The BUZZ ETF, which tracks the BUZZ NextGen AI US Sentiment Leaders Index using NLP to rank stocks by positive-sentiment intensity, thus began a gradual accumulation of META, increasing its weight from 3.2500% to 3.6300% between July 1st and July 13th. This algorithmic sentiment tracker detected rising positive discussion as META achieved a +10.1% 30-day return, pushing its current price of $661.04 to 84% of its 52-week high, following a more challenging 1-year return of -8.1%. The consistent increase in weight indicates the ETF's passive reflection of a sustained shift in retail-crowd perception, which is precisely what VanEck's method is designed to capture.
weight 3.250% → 3.630% (+0.380 pp)·stock up 15.0% in the 30 days before
Jul 13·entry $656.73·now $645.85Fresh
BUZZ · Accumulation · 5d
META currently trades at $656.73, positioning it at 83% of its 52-week high, following a recent 30-day return of +3.8% against a 90-day decline of -1.6% and a one-year return of -11.0%. This recent upward movement, occurring within a longer-term drawdown from its peak, likely triggered the NLP engine underlying BUZZ, which interprets social media and news for positive sentiment, leading to the observed gradual accumulation of the stock's weight from 2.98% to 3.61% over ten days. As a tracker of retail-crowd signals, BUZZ's increasing stake reflects a sustained shift in positive perception around META, possibly driven by its current valuation relative to its 52-week range and its 26.18% revenue growth and 33.22% return on equity.
weight 2.980% → 3.610% (+0.630 pp)·stock up 14.5% in the 30 days before
Jul 10·entry $669.21·now $645.85Fresh
BUZZ · Weight increase · 2d
The BUZZ ETF exhibited a clear consecutive weight increase for META, moving from 3.13% on July 2nd to 3.18% on July 6th, and then to 3.36% on July 7th, demonstrating a sustained upward adjustment in its portfolio. This reweighting aligns with META's trading at $603.12, which places it at 76% of its 52-week high after several months of negative returns, a valuation point that often stimulates discussion among retail investors. As an algorithmic sentiment tracker utilizing NLP across social media and other public sources, BUZZ’s index likely detected a growing positive-sentiment intensity surrounding META, reflecting a perceived buying opportunity from the crowd signals it monitors. Given META's underlying financial characteristics, including 26.18% revenue growth and 33.22% return on equity, such a sustained sentiment shift, captured by an ETF closely tracking retail-crowd signals, would translate into a higher ranking and subsequent allocation within BUZZ’s ~75 US large/mid caps portfolio.
weight 3.130% → 3.360% (+0.230 pp)·stock down 1.9% in the 30 days before
Jul 7·entry $615.58·now $645.85Drifting
AIEQ · Weight decrease · 2d
AIEQ's daily rebalancing mechanism, driven by IBM Watson NLP's analysis of news, filings, and social posts, enables rapid adjustments across its 140-180 US stock holdings. This dynamic approach led to a pattern of consecutive weight decreases in META, most notably from 3.30% to 3.24% between July 17 and July 19, indicating a swift reduction in conviction. The fund's fundamentals + sentiment hybrid style likely processed evolving sentiment around META, possibly influenced by the stock’s -10.1% 1-year return, leading the AI to trim its position in the Communication Services company.
weight 3.370% → 3.240% (-0.130 pp)·stock up 7.6% in the 30 days before
Jul 19·entry $645.85·now $645.85
AIEQ · Weight decrease · 2d
META has seen a +14.0% return over the last 30 days, placing its $681.31 price at 86% of its 52-week high, a quick climb following a -4.5% year-long return. This rapid appreciation, pushing the stock near its upper trading range, interacts directly with AIEQ's daily rebalancing strategy, which continuously processes news and sentiment through IBM Watson NLP. While META exhibits a PBR of 7.66 and a 26.18% revenue growth, the consecutive weight decreases from 3.33% to 3.28% between July 14th and 15th suggest a detected shift in sentiment or fundamental indicators from the thousands of US equities analyzed. The fund's methodology, relying on daily output from IBM Watson and subsequent risk overlay, likely identified a marginal deterioration in its daily ranking for META, perhaps due to moderating positive news flow or emerging cautionary notes within the processed text, prompting the minor reduction in exposure. This nuanced adjustment reflects the highly reactive nature of EquBot's model within AIEQ, which makes precise, high-frequency portfolio changes based on its real-time interpretation of market narratives rather than broad stylistic shifts.
weight 3.330% → 3.280% (-0.050 pp)·stock up 20.2% in the 30 days before
Jul 15·entry $681.31·now $645.85
AIEQ · Sudden change · 1d
Currently trading at $669.21, META sits at 85% of its 52-week high, experiencing recent positive momentum with a +5.3% 30-day return following a more negative 1-year period. This price behavior, combined with the company's 26.18% revenue growth and 33.22% ROE, likely presented compelling signals to AIEQ's IBM Watson NLP engine. As a fund that rebalances daily based on news, filings, transcripts, and social posts, the NLP system probably identified an improving sentiment or fundamental outlook for META between July 6th and July 11th. This shift in its daily ranking drove AIEQ to increase its weight in META from 2.93% to 3.33%, consistent with its high-turnover, sentiment-and-fundamentals hybrid strategy.
weight 3.030% → 3.330% (+0.300 pp)·stock up 14.5% in the 30 days before
Jul 11·entry $656.73·now $645.85
AIEQ · Weight increase · 2d
AIEQ's allocation to META shows a distinct, stepped increase over eight days, advancing from 2.20% to 3.09%, reflecting the fund’s daily rebalancing. This sustained upward adjustment suggests IBM Watson’s NLP, processing news, filings, and social posts across thousands of US equities, identified a progressively evolving positive sentiment or strengthening fundamental signal for the Communication Services company. With META’s price at $603.12, 76% of its 52-week high, and a 14.9% one-year return decline, its 26.18% revenue growth and 33.22% ROE likely positioned it as an attractive candidate within the fund’s broad market, fundamentals + sentiment hybrid strategy. The sequence of initial larger jumps, such as from 2.20% to 2.87%, followed by smaller increments, indicates a continuous, data-driven conviction building within the algorithm’s daily ranking.
weight 2.930% → 3.090% (+0.160 pp)·stock up 1.7% in the 30 days before
Jul 8·entry $603.12·now $645.85Drifting
AIEQ · Weight increase · 3d
META Platforms currently trades at $582.90, which is 74% of its 52-week high, following 1-year returns of -14.6%. This position, significantly off prior peaks, likely triggered AIEQ's IBM Watson NLP system to detect a shift in sentiment across news, filings, and social posts, indicating a more favorable outlook for the stock at its reduced valuation. Despite the recent price trajectory, META maintains a 26.18% revenue growth and a 33.22% ROE, figures that align with the fund's fundamental analysis layer. The consecutive weight increase, culminating in a jump to 2.93% by July 3rd, illustrates AIEQ's daily rebalancing, high-turnover strategy to capitalize on this perceived value, integrating both strong financials and evolving market sentiment.
weight 2.170% → 2.930% (+0.760 pp)·stock down 2.5% in the 30 days before
Jul 3·entry $600.29·now $645.85Drifting
AIEQ · Weight increase · 2d
META’s P/E of 22.04, P/B of 7.66, Revenue Growth of 26.18%, and ROE of 33.22% present a company with solid fundamental characteristics, aligning with AIEQ’s strategy to incorporate fundamental analysis into its broad market, hybrid style. Following a period where its weight fluctuated then showed consecutive increases from 2.14% to 2.20% leading into July, the IBM Watson NLP engine, ingesting vast data for Amplify ETFs, likely detected an accumulating positive sentiment and updated its daily ranking for META. This culminated in AIEQ making a substantial allocation adjustment, increasing META’s weight to 2.8700% on 2026-07-01, a move that occurred while the stock was trading at $612.91, approximately 78% of its 52-week high, and reflected a recent 30-day return of +1.7% after longer-term underperformance. Given the fund's high-turnover nature and its reliance on a fundamentals and sentiment hybrid, the model appears to be acting on a perceived positive inflection point for this Communication Services stock, capitalizing on the emerging positive momentum despite its prior 1-year return of -11.9%.
weight 2.170% → 2.870% (+0.700 pp)·stock up 2.1% in the 30 days before
Jul 1·entry $612.91·now $645.85Drifting
QRFT · Accumulation · 5d
META Platforms, currently trading at $615.58, sits at 78% of its 52-week high after experiencing a -6.3% return over the past 90 days and a -13.6% over the last year, with only a marginal +0.9% rebound in the most recent month. This significant depreciation likely presented an attractive entry for QRFT's AI, which evaluates traditional factors like value, momentum, quality, and low-volatility, given META’s 26.18% revenue growth and a 33.22% return on equity. The AI’s decision to gradually accumulate META, evidenced by the weight increasing from 2.56% to 2.87% over two weeks, suggests its proprietary alternative-data overlays detected positive signals aligning with its broad large-cap core style, despite the previous price trajectory. The weekly rebalancing frequency allowed Qraft's system to build this position incrementally, leveraging a blend of its value and quality factors with unique data insights to identify a turnaround or undervalued opportunity in this large-cap communication services firm.
weight 2.560% → 2.870% (+0.310 pp)·stock down 1.9% in the 30 days before
Jul 7·entry $615.58·now $645.85Drifting
QRFT · Weight increase · 2d
stock down 11.4% in the 30 days before
Jun 29·entry $562.60·now $645.85Chased
PQUS · Weight decrease · 3d
META, currently priced at $646.01, sits at 82% of its 52-week high, having recorded a 2.9% 30-day return but a 10.1% decline over the past year. This blend of recent positive momentum against a longer-term downturn likely influenced PQUS's AI ranking system to implement a consecutive weight reduction in META, from 1.84% to 1.78% between July 17-19, 2026. Despite the company's 26.18% revenue growth and 33.22% ROE, the AI's analysis, considering META's PER of 23.23 and PBR of 7.66 at this price point, perhaps identified a relative revaluation or a shift in its risk-reward profile within the US large-cap universe. This adjustment, consistent with the fund's periodic rebalancing and measured turnover style, indicates the system is actively managing portfolio concentration and sector balance rules for its ~165 holdings.
weight 1.960% → 1.780% (-0.180 pp)·stock up 7.6% in the 30 days before
Jul 19·entry $645.85·now $645.85
PQUS · Weight decrease · 2d
The AI ranking system guiding Pictet Asset Management's PQUS, which manages approximately 165 US large-cap holdings, appears to have initiated a reduction in its exposure to META PLATFORMS INC. Given the fund's periodic, rather than daily, rebalancing schedule, the observed decrease from 1.96% to 1.81% between July 16th and 18th, 2026 suggests the system dynamically adjusted its allocation to META over several trading days within a rebalance cycle. This adjustment for the Communication Services stock may stem from its recent performance, with META showing a 1-year return of -10.1%, potentially flagging it for reallocation within the fund's sector-balance and concentration rules. Consequently, the AI's assessment likely identified more compelling opportunities or sought to optimize its overall portfolio structure at META's current price of $646.01.
weight 1.960% → 1.810% (-0.150 pp)·stock up 7.6% in the 30 days before
Jul 18·entry $645.85·now $645.85
PQUS · Weight increase · 2d
The weight adjustments for META in PQUS reveal a sustained, albeit stepped, increase from 1.73% to 1.98% between July 5th and July 12th, with a brief reversal on July 10th. This measured accumulation aligns with Pictet Asset Management's "measured turnover" style, as their AI ranking system likely identified META’s recent price recovery—now at $669.21 and 85% of its 52-week high, after a period of negative 1-year performance—as a developing positive trend. The AI system's assessment is further supported by META's underlying financial strength, specifically its 26.18% revenue growth and 33.22% return on equity, indicating a fundamentally sound business. Consequently, PQUS's AI-driven approach is incrementally increasing exposure to META, balancing its sector-balance and concentration rules with the company's compelling financial metrics and current valuation trajectory within the US large-cap universe.
weight 1.800% → 1.980% (+0.180 pp)·stock up 14.5% in the 30 days before
Jul 12·entry $656.73·now $645.85Fresh
PQUS · Weight increase · 2d
The weight adjustments for META in PQUS reveal a deliberate, step-wise accumulation, not a continuous daily change, observed as the stock's price settled at 76% of its 52-week high after a year of negative returns. This pattern suggests Pictet's AI ranking system likely identified the Communication Services company as a compelling value opportunity, driven by its underlying financial strength including 26.18% revenue growth and 33.22% ROE. The discrete increases, interspersed with periods of stable weighting, align precisely with PQUS’s mandate for periodic rebalances and measured turnover within its US large-cap universe of approximately 165 holdings. Such a measured approach ensures adherence to the ETF's concentration and sector-balance rules, allowing the AI to gradually increase exposure to a stock with a 22.04 PER and 7.66 PBR that has seen a significant price pullback.
weight 1.730% → 1.820% (+0.090 pp)·stock up 7.9% in the 30 days before
Jul 9·entry $631.48·now $645.85Drifting
PQUS · Weight increase · 2d
stock down 13.4% in the 30 days before
Jun 26·entry $550.25·now $645.85Chased
LQAI · Weight increase · 2d
META’s current PER of 22.71 and PBR of 7.66, coupled with 26.18% revenue growth and 33.22% ROE, align with the LG-Qraft collaboration's AI ranking methodology for US large-cap core selections. The Qraft AI engine subsequently detected a consecutive weight increase in META, specifically from 0.27% to 0.29% between July 9th and July 10th, following a significant reduction earlier in the week. This modest re-engagement with the communication services stock occurred as it had recently posted a 30-day return of +5.3%, stabilizing around $669.21. That price point represents 85% of its 52-week high after a more challenging one-year performance, suggesting the AI identified specific short-term positive signals or perceived value at this level, consistent with LQAI's AI-driven name selection without a heavy factor tilt.
weight 0.260% → 0.290% (+0.030 pp)·stock up 14.5% in the 30 days before
Jul 10·entry $669.21·now $645.85Fresh
LQAI · Weight decrease · 2d
LQAI's Qraft AI ranking engine, applied to its US large-cap core universe, made a decisive move by reducing META's weight from 0.90% to 0.26% within two consecutive trading days. This rapid adjustment reflects the fund's weekly rebalancing schedule and its AI-driven selection method, designed to manage a portfolio of approximately 100 US large-cap holdings. Despite META’s 26.18% revenue growth, the AI's model likely detected a weakening signal, prioritizing the stock's sustained market underperformance, as indicated by its negative 14.9% 1-year return. Such a significant cut suggests the AI, which operates without a heavy factor tilt between broad and concentrated momentum styles, is responding to a perceived shift in the stock's prospects, particularly with its current price at 76% of its 52-week high.
weight 0.900% → 0.260% (-0.640 pp)·stock up 1.7% in the 30 days before
Jul 8·entry $603.12·now $645.85
LQAI · Sudden change · 1d
LQAI initially showed a gradual increase in its META weighting from 0.80% to 0.91% over a week, while the stock was trading at $615.58, significantly off its 52-week high after a 13.6% one-year decline. The Qraft AI engine, focused on core large-cap selection without heavy factor tilts, likely identified value in META due to its 26.18% revenue growth and 33.22% ROE, despite its recent price performance. The subsequent sudden reduction to 0.27% on July 7th suggests the AI model recalibrated its assessment during the weekly rebalance cycle, indicating a shift in its proprietary ranking for META. This move aligns with LQAI's methodology of AI-driven name selection, dynamically adjusting exposure as the algorithm perceives changes in relative attractiveness within its universe.
weight 0.900% → 0.270% (-0.630 pp)·stock down 1.9% in the 30 days before
Jul 7·entry $615.58·now $645.85
LQAI · Weight increase · 2d
stock down 11.4% in the 30 days before
Jun 29·entry $562.60·now $645.85Chased
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
Several AI ETFs, including PQUS, AIEQ, BUZZ, and QRFT, have shown recent trends of accumulating Meta Platforms shares by increasing their portfolio weights, while LQAI has been decreasing its weight. This mixed sentiment, leaning towards accumulation, contrasts with the value-investing framework's 'Too Hard' verdict. The framework finds the company's future cash flows too unpredictable for confident long-term projection, diverging from the AI's current engagement.
- Circle of CompetenceThe immense, speculative investment in the metaverse segment, despite the strength of the core advertising business, makes the overall long-term cash flow generation of Meta Platforms genuinely unpredictable, falling outside the circle of competence for reliable projection.
- Economic MoatThis stage is not evaluated further as the company's long-term cash flows cannot be reliably projected.
- ManagementThis stage is not evaluated further as the company's long-term cash flows cannot be reliably projected.
- Financial HealthThis stage is not evaluated further as the company's long-term cash flows cannot be reliably projected.
- Margin of SafetyThis stage is not evaluated further as the company's long-term cash flows cannot be reliably projected.
Meta Platforms presents a significant challenge to the value investing framework due to its substantial and highly speculative investments in the metaverse. While its core advertising business benefits from strong network effects, the overall predictability of ten-year cash flows is compromised, placing it outside the circle of competence for reliable analysis. Consequently, the company receives a 'Too Hard' verdict, indicating it cannot be scored further within this 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.