XOM

QRFT · Exit · 1d

Exxon Mobil's revenue decline of -4.09% likely signaled a deterioration in fundamental quality, a factor Qraft AI evaluates for its broad large-cap core portfolio. The moderate ROE of 9.77% and a PER of 22.39, while not extreme, would be assessed by the AI alongside other metrics for relative attractiveness. This decision aligns with a period where the stock experienced a significant 30-day return of -12.3% and a 90-day return of -8.2%, signaling negative short-term momentum which QRFT's proprietary alternative-data overlays likely detected. On July 1, 2026, the Qraft AI, which rebalances weekly, fully divested its 1.20% position, a move that follows a consistent downward adjustment in its weighting throughout late June from 1.25%. The AI's integration of traditional factors like value, momentum, and quality, combined with its unique alternative data, appears to have triggered the removal due to the confluence of negative revenue growth and poor recent price performance.

weight 1.200% → 0 (exited)·stock down 8.8% in the 30 days before

Jul 1·entry $136.28·now $148.36

QRFT · Weight decrease · 3d

Qraft AI, which manages the broad large-cap QRFT by combining traditional factors and proprietary alternative data, initiated a consecutive weight decrease in Exxon Mobil during its weekly portfolio rebalances from June 11 to June 15. With its rebalancing cadence occurring every week across approximately 300 US large caps, the fund's AI actively adjusts positions, signaling a deliberate reduction in exposure. This systematic reduction likely stems from the AI identifying deteriorating metrics, such as Exxon Mobil’s negative 30-day return of -8.3%, indicating a clear lack of recent price momentum. Furthermore, considering the -4.09% revenue growth, the AI's integrated model likely assessed a declining fundamental attractiveness for the energy giant within its diversified portfolio.

weight 1.380% → 1.230% (-0.150 pp)·stock down 7.8% in the 30 days before

Jun 15·entry $140.92·now $148.36

QRFT · Weight decrease · 2d

QRFT's AI, which integrates traditional factors like momentum and quality with proprietary alternative data, has incrementally reduced its position in Exxon Mobil. The consecutive weight decrease observed on June 11th and 12th, occurring within the fund's weekly rebalancing framework, signals a sustained negative outlook on the energy giant. This shift for a component of the fund's ~300 US large-cap portfolio likely reflects XOM's recent negative 30-day return of -3.8% and its current revenue growth of -4.09%. Such figures suggest the AI's analytical model found compelling reasons to diminish exposure, aligning with its broad large-cap core style with an AI tilt.

weight 1.380% → 1.300% (-0.080 pp)·stock down 3.0% in the 30 days before

Jun 12·entry $147.01·now $148.36

QRFT · Weight decrease · 7d

XOM’s financial figures, including negative revenue growth of -4.09% and a 9.77% ROE, likely presented less compelling signals when analyzed through QRFT’s AI, which combines traditional factors like quality and momentum with proprietary alternative-data overlays. Despite Exxon Mobil’s considerable 1-year return of +34.3% and its recent trading at 85% of its 52-week high, the fund initiated a sustained reduction. Beginning May 19th, as the stock was priced around $145.26, QRFT consistently decreased its weight in XOM from 1.4200% down to 1.2300% by May 29th. This pattern suggests Qraft’s AI identified specific factors, potentially highlighted by its alternative data, warranting reduced exposure within its diversified large-cap core portfolio.

weight 1.420% → 1.230% (-0.190 pp)·stock down 6.1% in the 30 days before

May 29·entry $145.26·now $148.36

QRFT · Weight decrease · 6d

XOM’s price, currently at $145.26 and 85% of its 52-week high following a recent 30-day return of -0.8%, presents a picture of short-term deceleration despite its 34.3% one-year gain. The Qraft AI, which blends traditional factors like momentum and quality with proprietary alternative data overlays, appears to be responding to this shift. This consistent weight reduction in QRFT from May 20th to May 28th likely stems from the AI identifying negative revenue growth of -4.09% and a PER of 25.35 as less favorable in combination with the stock’s recent price trajectory, prompting a calibrated rebalancing within its diversified large-cap core strategy.

weight 1.420% → 1.250% (-0.170 pp)·stock down 2.4% in the 30 days before

May 28·entry $146.96·now $148.36

QRFT · Weight decrease · 5d

QRFT's Qraft AI, which blends traditional factors with proprietary alternative data for its approximately 300 US large-cap holdings, made consecutive downward adjustments to XOM's weighting over several weekly rebalances. This consistent reduction, from 1.42% to 1.26%, indicates that the AI's algorithms identified diminishing appeal for the energy company within its diversified portfolio. Such a move likely stems from the AI's analysis of factors like XOM's negative revenue growth of -4.09% and its recent 30-day return of -0.7%, which could be signaling a reduction in its quality or momentum profile. The fund's AI, maintaining its broad large-cap core style, therefore strategically re-allocated capital away from XOM to optimize based on its dynamic factor evaluation.

weight 1.420% → 1.260% (-0.160 pp)·stock down 0.2% in the 30 days before

May 27·entry $147.90·now $148.36

QRFT · Weight decrease · 4d

Exxon Mobil's recent financial figures, including a PER of 25.51 and negative revenue growth of -4.09%, likely influenced Qraft AI's assessment for QRFT, a fund that integrates traditional factors such as value and quality. While the company reports a PBR of 1.96 and an ROE of 9.77%, the AI's model, combining these metrics with proprietary alternative-data overlays, might have flagged concerns regarding valuation relative to its declining revenue. The consecutive weight decrease in XOM, initiated on 2026-05-20 and continuing through 2026-05-26, followed a period where the stock recorded a 1-year return of +41.6% and traded at 87% of its 52-week high of $171.47. This systematic reduction suggests the Qraft AI, managing QRFT's broad large-cap core portfolio, perceived the stock's valuation at $149.81 as potentially stretched, prompting a rebalancing away from a position that had seen significant price appreciation without corresponding revenue expansion.

weight 1.420% → 1.280% (-0.140 pp)·stock up 0.6% in the 30 days before

May 26·entry $149.81·now $148.36

QRFT · Weight decrease · 3d

stock up 2.9% in the 30 days before

May 22·entry $154.92·now $148.36

QRFT · Weight decrease · 2d

stock up 3.9% in the 30 days before

May 21·entry $155.29·now $148.36

PQUS · Weight decrease · 2d

XOM currently trades at $138.88, positioned at 81% of its 52-week high after experiencing recent 30-day and 90-day returns of -5.5% and -8.5%, respectively. Pictet Asset Management’s PQUS, a US large-cap ETF that uses an AI ranking system with sector-balance and concentration rules, likely initiated a re-evaluation given these price dynamics. Despite XOM's 1-year return of +27.0%, its revenue growth of -4.09% and a PER of 22.59 may have triggered a lower ranking from the AI system. This led to consecutive weight decreases in PQUS for XOM on July 10th and 11th, moving its allocation from 0.44% down to 0.41% within the fund's periodically rebalanced ~165 US large-cap portfolio. The AI's decision reflects a reduced conviction influenced by the stock's recent trend and underlying financials, adhering to the ETF's measured turnover style.

weight 0.440% → 0.410% (-0.030 pp)·stock down 6.7% in the 30 days before

Jul 11·entry $144.51·now $148.36

PQUS · Weight decrease · 3d

XOM's financial profile, marked by a -4.09% revenue growth and a 9.77% return on equity, presents specific data points for Pictet Asset Management's AI ranking system. These figures, particularly the negative revenue trajectory, likely influenced the system's evaluation within its US large-cap universe, leading to a de-ranking for the energy giant. Consequently, PQUS exhibited a consecutive weight decrease for XOM from 0.51% to 0.47% between May 23 and May 30, 2026, aligning with a period where the stock registered a -0.8% 30-day return and stood at 85% of its 52-week high. The fund's measured turnover style and sector-balance rules likely governed this gradual adjustment rather than an abrupt exit, reflecting a systematic re-evaluation by the AI.

weight 0.500% → 0.470% (-0.030 pp)·stock down 6.1% in the 30 days before

May 30·entry $149.38·now $148.36

PQUS · Weight decrease · 2d

The weight change in PQUS for XOM shows a subtle, stepped reduction from 0.51% to 0.48% over several days, consistent with a fund emphasizing measured turnover and periodic rebalancing rather than daily adjustments. This reflects Pictet Asset Management's AI ranking system moderating its exposure to XOM given its negative revenue growth of -4.09%. While XOM has delivered a 38.7% return over the past year and trades at $146.96, the AI's assessment likely identified other US large-cap opportunities or aimed to rebalance energy sector exposure within its concentration guidelines, leading to a small, gradual divestment from the stock.

weight 0.500% → 0.480% (-0.020 pp)·stock down 6.1% in the 30 days before

May 29·entry $145.26·now $148.36

LQAI · Exit · 1d

XOM's financial profile, characterized by a -4.09% revenue growth and a 22.39 PER, alongside a 9.77% ROE, likely fell below the LG-Qraft AI's selection threshold for its US large-cap core universe. The Qraft AI ranking engine, which rebalances LQAI weekly, removed the stock on 2026-07-07. This timing aligns with XOM having posted a -8.5% 30-day return and a -4.6% 90-day return, signalling a deteriorating short-term trend. As a core large-cap ETF that avoids heavy factor tilts, LQAI's AI appears to have responded to this combination of moderate financial health and recent price weakness at $141.69.

weight 0.100% → 0 (exited)·stock down 6.8% in the 30 days before

Jul 7·entry $141.69·now $148.36

LQAI · Exit · 1d

Exxon Mobil's financial profile, featuring a P/E of 22.39, P/B of 1.96, and particularly negative revenue growth of -4.09% along with a 9.77% ROE, likely fell out of favor with LQAI’s Qraft AI ranking. This AI-driven selection engine, focused on a core large-cap universe without heavy factor tilt, assesses a blend of characteristics. The AI's decision to remove XOM on 2026-07-01 coincided with the stock’s recent price decline, showing a -12.3% return over the prior 30 days and an -8.2% loss over 90 days, trading at $137.09. Given LQAI’s weekly rebalancing and its position between a broad market approach and concentrated momentum, the Qraft AI likely deemed this combination of recent price weakness and moderate fundamental growth insufficient to maintain the stock's place within its approximately 100 US large-cap holdings. The AI's assessment determined XOM's standing for a core large-cap position was diminished, leading to its complete removal from the portfolio after consistent 0.1000% weighting through late June.

weight 0.100% → 0 (exited)·stock down 8.8% in the 30 days before

Jul 1·entry $136.28·now $148.36

AIEQ · Exit · 1d

Exxon Mobil's financial summary, displaying a PBR of 1.96, an ROE of 9.77%, and notably a -4.09% revenue growth, likely triggered negative signals within AIEQ's fundamentals-driven component of its broad market, sentiment hybrid style. This concerning revenue trend, when paired with XOM’s recent price action including a -16.2% return over 30 days and trading at 79% of its 52-week high, indicated a significant shift in market sentiment. IBM Watson NLP, which powers AIEQ by processing vast amounts of data including news and social posts, would have quickly registered these adverse fundamental and sentiment changes for XOM. This decline in perceived value and momentum then likely resulted in a lower daily ranking for the stock, prompting EquBot’s risk overlay to remove Exxon Mobil entirely from the portfolio on July 1st, reflecting the fund's characteristic high-turnover and daily rebalancing at a price of $136.28.

weight 0.990% → 0 (exited)·stock down 8.8% in the 30 days before

Jul 1·entry $136.28·now $148.36

AIEQ · Weight decrease · 2d

AIEQ’s methodology, driven by IBM Watson NLP processing diverse data streams and daily portfolio rebalances across 140-180 US stocks, suggests a rapid algorithmic response to evolving conditions for XOM. The observed consecutive weight decrease for Exxon Mobil, moving from 1.13% on June 11th to 1.07% by June 14th, indicates a sustained negative re-ranking by the AI system. This downshift likely stems from the fund’s sentiment and fundamentals hybrid approach detecting signals such as XOM’s recent 30-day return of -3.8%, alongside its negative revenue growth of -4.09%. Such a precise and continuous adjustment in allocation reflects the fund's high-turnover nature and its immediate reaction to adverse shifts in both market perception and underlying company performance.

weight 1.130% → 1.070% (-0.060 pp)·stock down 3.0% in the 30 days before

Jun 14·entry $140.92·now $148.36

AIEQ · Weight decrease · 2d

The observed pattern in AIEQ’s XOM holdings is a gradual, stepped reduction, decreasing from 0.8900% to 0.7900% over several days in late May. This cadence is consistent with Amplify ETFs’ AIEQ, where IBM Watson's NLP system continually ingests a wide array of data—from news to social posts—to inform daily ranking adjustments. At a price point currently near 86% of its 52-week high, yet with a recent 30-day return of -3.3% and negative revenue growth of -4.09%, the fund’s sentiment and fundamentals-hybrid model likely flagged XOM as having reduced upside or increased risk. Its high-turnover, daily rebalancing mandate allows EquBot’s risk overlay to implement these progressive, precise reductions in XOM exposure, rather than making abrupt portfolio shifts.

weight 0.830% → 0.790% (-0.040 pp)·stock down 2.4% in the 30 days before

May 28·entry $146.96·now $148.36

AIEQ · Weight decrease · 2d

Currently trading at $154.92, Exxon Mobil has experienced a significant increase in share value over the last year, reaching a +46.8% return and now sitting at approximately 90% of its $171.47 52-week high. This upward trajectory, coupled with the stock's positioning near its yearly peak, likely prompted AIEQ's IBM Watson NLP engine to adjust its daily ranking for XOM, leading to the consecutive weight decreases observed on May 22 and May 24. The fund’s hybrid style, which incorporates both fundamentals and sentiment from news and social posts, could be reacting to a combination of XOM's -4.09% revenue growth and any perceived shift in market sentiment or valuation concerns after its substantial price appreciation. AIEQ's high-turnover nature, rebalancing daily across its 140-180 US stocks, means such adjustments are a direct outcome of EquBot's risk overlay translating these real-time NLP and fundamental insights into swift portfolio changes.

weight 0.890% → 0.830% (-0.060 pp)·stock up 2.9% in the 30 days before

May 24·entry $149.81·now $148.36

BUZZ · Exit · 1d

stock up 3.9% in the 30 days before

May 21·entry $155.29·now $148.36