AIEQ0.930%
as of Jul 20
GS
GrowthGOLDMAN SACHS GROUP INC
The Goldman Sachs Group, Inc., a financial institution, provides a range of financial services for corporations, financial institutions, governments, and individuals in the Americas, Europe, the Middle East, Africa, and Asia. It operates through three segments: Global Banking & Markets, Asset & Wealth Management, and Platform Solutions. The Global Banking & Markets segment provides financial advisory services, including strategic advisory assignments related to mergers and acquisitions, divestitures, corporate defense activities, restructurings, and spin-offs; equity and debt underwriting of public offerings and private placements; relationship lending and acquisition financing; secured lending through structured credit and asset-backed lending, such as warehouse, residential and commercial mortgage, corporate, consumer, auto, and student loans; financing through securities purchased under agreements to resell; and commodity financing through structured transactions.
Close · 3M
+26.80%
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 signals18
Win rate33% (6/18)
Avg buy return-0.57%
AIEQ · Weight decrease · 2d
The daily rebalancing mechanism of AIEQ, informed by IBM Watson's natural language processing of market-wide information, directly influenced the consecutive weight decrease for GS. From July 16th to July 19th, the position in Goldman Sachs sequentially adjusted downward from 0.99% to 0.93% of the portfolio. This shift reflects that Watson's sentiment and fundamental analysis, across its 140-180 US stock universe, detected a relative weakening in signals for the Financials sector constituent. The stock's 30-day return of -2.5% at its current price of $1065.22 suggests recent negative price action contributed to this re-evaluation by the fund's model. AIEQ’s strategy prioritizes continuous, real-time adjustments based on its hybrid input model to optimize its broad market exposure.
weight 0.990% → 0.930% (-0.060 pp)·stock down 2.3% in the 30 days before
Jul 19·entry $1055.03·now $1055.03
0.00%
since Jul 19
AIEQ · Weight increase · 2d
Goldman Sachs (GS) exhibits a PER of 17.28, a PBR of 2.11, revenue growth of 1.28%, and a ROE of 14.56%. These specific financial metrics, particularly the competitive ROE and valuation ratios, align with the fundamental component of AIEQ's broad market, fundamentals-plus-sentiment hybrid style. The consecutive weight increase for GS, moving from 0.91% to 0.98% and 0.99% between July 15th and 16th, suggests IBM Watson's daily NLP system detected a significant shift in positive sentiment or new catalysts. This upward adjustment in position by the Amplify/EquBot-managed ETF, which rebalances daily, occurred while Goldman Sachs traded at $1095.46, sitting at 95% of its 52-week high and reflecting a strong 90-day return of +31.7%. The EquBot risk overlay, processing IBM Watson's daily ranking from news and social posts, likely affirmed this heightened conviction despite the stock's elevated price point.
weight 0.910% → 0.990% (+0.080 pp)·stock up 1.8% in the 30 days before
Jul 16·entry $1095.46·now $1055.03Fresh
-3.69%
since Jul 16
AIEQ · Weight increase · 2d
AIEQ's manager, EquBot, utilizes IBM Watson NLP to process vast amounts of financial text daily, feeding a ranking system that directly influences its 140-180 stock portfolio. The consecutive weight increase for GS, reaching 0.89% on July 3rd, indicates a clear shift in the underlying sentiment and fundamental signals detected by this AI. Its daily rebalancing mandate allows for such swift adjustments when the AI identifies a change in opportunity. This precise allocation suggests the models now view GS as a more attractive holding, even as the stock posted a 30-day return of +4.0%. The fund's broad market, fundamentals + sentiment hybrid style found reasons to increase exposure to this financial giant.
weight 0.700% → 0.890% (+0.190 pp)·stock down 4.1% in the 30 days before
Jul 3·entry $1055.29·now $1055.03Fresh
-0.02%
since Jul 3
AIEQ · Weight increase · 2d
AIEQ’s daily rebalancing protocol and its core methodology, driven by IBM Watson NLP across thousands of US equities, suggest that positive sentiment and fundamental shifts concerning Goldman Sachs have been consistently detected. The artificial intelligence system, which processes news, filings, transcripts, and social posts, likely generated a persistent high ranking for GS, leading EquBot's risk overlay to increase its allocation from 0.72% to 0.76% in recent days. This continuous adjustment reflects the fund's broad market, fundamentals-plus-sentiment hybrid style, even as GS currently trades at 100% of its 52-week high. The AI's ongoing upward trend in weight implies it identifies factors supporting further value, possibly interpreting the company's 30-day return of +18.4% as indicative of sustained positive momentum or newly emerging catalysts rather than a reason for caution.
weight 0.720% → 0.760% (+0.040 pp)·stock up 18.1% in the 30 days before
Jun 18·entry $1096.56·now $1055.03Fresh
-3.79%
since Jun 18
AIEQ · Weight increase · 2d
GS shares, currently priced at $1062.75, trade near 97% of their 52-week high of $1092.61, following a 77.5% return over the past year and a 15.1% gain in the last 30 days. This upward price trajectory, coupled with AIEQ's reliance on IBM Watson's NLP to ingest real-time news, filings, and social posts, indicates a strong signal from the AI identifying favorable sentiment or emerging fundamental drivers for the financial giant. Despite GS's 1.28% revenue growth and a PER of 16.44, the daily rebalancing mechanism of Amplify ETFs’ AIEQ, which incorporates a fundamentals-plus-sentiment hybrid style, increased its weight from 0.70% on June 11 to 0.73% by June 14. Such an adjustment, even as the stock approaches its annual peak, suggests the AI’s daily ranking has prioritized a perceived positive shift in GS’s overall investment profile, leading to the consecutive allocation increase in this high-turnover fund.
weight 0.700% → 0.730% (+0.030 pp)·stock up 11.2% in the 30 days before
Jun 14·entry $1076.17·now $1055.03Fresh
-1.96%
since Jun 14
AIEQ · Weight decrease · 2d
The recent pattern observed in AIEQ for Goldman Sachs involves a gradual, day-over-day decrease in allocation, moving from 0.72% to 0.70% in consecutive sessions. This steady reduction aligns with AIEQ's high-turnover, daily rebalancing mandate, particularly as GS trades near 95% of its 52-week high following a 1-year return of 72.5%. IBM Watson's NLP engine, which processes news, analyst notes, and social posts, likely detected a leveling off in positive sentiment or a shift in market perception as the stock reached these elevated levels, especially given GS's modest 1.28% revenue growth. The fund’s EquBot risk overlay subsequently translates this sentiment and fundamental data into a measured reduction, rather than an abrupt exit, reflecting its broad market and fundamentals + sentiment hybrid style in managing positions that have seen significant appreciation.
weight 0.720% → 0.700% (-0.020 pp)·stock up 9.5% in the 30 days before
Jun 11·entry $1035.64·now $1055.03
+1.87%
since Jun 11
+0.62%
since May 30
+16.80%
since May 3
PQUS · Weight decrease · 3d
Goldman Sachs’ P/E ratio of 14.98, P/B ratio of 2.11, revenue growth of 6.67%, and return on equity of 16.94% position it as a company with generally sound financials within the US large-cap universe for the PQUS ETF. Pictet Asset Management’s AI ranking system, which incorporates sector-balance and concentration rules for its measured turnover approach, initiated a consecutive weight decrease for GS from 0.74% to 0.69% between July 17th and July 19th. This adjustment occurred as the stock traded near $1065.22, approximately 92% of its 52-week high, following a substantial 90-day return of +27.8% and 1-year return of +49.8%. Such adjustments by the AI system typically manage exposure to a position that has recently experienced significant price appreciation, potentially aligning with the ETF’s periodic rebalancing strategy or concentration limits.
weight 0.820% → 0.690% (-0.130 pp)·stock down 2.3% in the 30 days before
Jul 19·entry $1055.03·now $1055.03
0.00%
since Jul 19
PQUS · Weight decrease · 2d
Pictet Asset Management's PQUS, guided by its AI ranking system for US large-cap stocks, initiated a calibrated reduction in its Goldman Sachs (GS) weighting. This consecutive decrease, from 0.74% on July 17 to 0.71% on July 18, 2026, within its approximately 165-holding portfolio, illustrates the fund's measured turnover strategy, even as rebalances are periodic rather than daily. The AI appears to be adjusting exposure as GS sits at 92% of its 52-week high, coupled with a -2.5% 30-day return, despite its 16.94% ROE. This action reflects the AI system's dynamic evaluation of the stock's short-term price momentum relative to its longer-term performance and fundamental metrics.
weight 0.820% → 0.710% (-0.110 pp)·stock down 2.3% in the 30 days before
Jul 18·entry $1055.03·now $1055.03
0.00%
since Jul 18
PQUS · Weight increase · 2d
Goldman Sachs' PER of 17.5, PBR of 2.11, Revenue Growth of 1.28%, and ROE of 14.56% present a financial profile that the Pictet Asset Management AI ranking system likely evaluated for its US large-cap universe. These figures align with PQUS's measured turnover style and focus on established US large-cap companies, rather than highly speculative growth plays. A consecutive weight increase from 0.7000% to 0.7100% on June 24th and further to 0.7200% on June 25th coincided with GS trading at 97% of its 52-week high of $1106.37 after delivering a 30-day return of +13.9%. The AI's rebalancing mechanism, which operates periodically, appears to have registered the sustained positive momentum, as indicated by the 90-day return of +19.0% and the 1-year return of +72.5%, factoring these into its updated ranking within the fund's sector-balance and concentration rules.
weight 0.700% → 0.720% (+0.020 pp)·stock up 7.1% in the 30 days before
Jun 25·entry $1065.09·now $1055.03Fresh
-0.94%
since Jun 25
PQUS · Weight increase · 2d
GS is currently trading at $1096.56, positioned at the top of its 52-week range after delivering a +18.4% return over 30 days and a +78.6% return over the past year. Pictet Asset Management's AI ranking system for PQUS likely interpreted this strong upward momentum as a continued positive signal, contributing to the sequential weight increases for GS observed on June 12-14 and again on June 18-19. The AI, while sensitive to price action, would also consider underlying fundamentals, which for GS include a PER of 17.9, a PBR of 2.11, and a ROE of 14.56%. These figures, alongside revenue growth of 1.28%, present a picture of a financially sound US large-cap company that aligns with the AI's ranking criteria within the fund's sector-balance and concentration rules. Therefore, the AI’s continued incremental additions to GS's weight reflect a sustained high ranking for the stock within PQUS’s US large-cap universe, consistent with its measured turnover approach despite the stock nearing its 52-week peak.
weight 0.690% → 0.710% (+0.020 pp)·stock up 18.1% in the 30 days before
Jun 19·entry $1106.37·now $1055.03Fresh
-4.64%
since Jun 19
PQUS · Weight increase · 2d
The weight of GS in the PQUS portfolio has subtly climbed from 0.67% to 0.69% between June 12th and June 14th, representing a series of small, gradual reallocations. This measured shift aligns with Pictet Asset Management's strategy for PQUS, which employs an AI ranking system over a large-cap universe with sector-balance and concentration rules, necessitating measured turnover across its approximately 165 holdings. Despite Goldman Sachs trading at $1062.75, near 97% of its 52-week high after a 77.5% one-year return, its underlying financial metrics like a 14.56% ROE and PBR of 2.11 likely signal continued value to the AI system. The system, therefore, incrementally increases exposure, indicating a perception that the stock’s current trajectory and financial health warrant a slightly larger allocation within the fund's specific structural constraints.
weight 0.670% → 0.690% (+0.020 pp)·stock up 11.2% in the 30 days before
Jun 14·entry $1076.17·now $1055.03Fresh
-1.96%
since Jun 14
PQUS · Weight decrease · 2d
GS is currently trading at $1035.64, positioning the stock at 95% of its 52-week high of $1092.61, following a +72.5% return over the past year and a +12.1% gain in the last 30 days. Pictet Asset Management's AI ranking system for the PQUS fund, which targets US large-cap equities and employs sector-balance and concentration rules, responded to this trajectory by executing a consecutive weight decrease for GS, moving from 0.68% on June 11 to 0.67% on June 12. This specific adjustment likely reflects the AI's analysis of GS's valuation, considering its PER of 16.44 and PBR of 2.11, against the stock's substantial recent appreciation and a revenue growth of 1.28%. As a newer fund with a measured turnover style, PQUS’s AI system appears to be making precise, minor portfolio adjustments based on the stock's position near its 52-week peak rather than initiating a large rebalance.
weight 0.690% → 0.670% (-0.020 pp)·stock up 11.2% in the 30 days before
Jun 12·entry $1062.75·now $1055.03
-0.73%
since Jun 12
QRFT · Weight increase · 3d
Goldman Sachs Group Inc. (GS) trades near the upper end of its 52-week range at $1055.29, having delivered a 63.1% one-year return and a 14.5% ninety-day return. Despite trading at 95% of its 52-week high, Qraft's AI, which combines traditional factors like momentum and value with proprietary alternative-data overlays for its diversified large-cap core fund QRFT, identified reasons to increase exposure. The consecutive weight increase in QRFT from July 1st to July 6th suggests the AI detected a positive signal in GS, which currently holds a PER of 16.88, a PBR of 2.11, and a ROE of 14.56%. Even with revenue growth at 1.28%, these financial metrics, combined with potential insights from alternative data and recent price momentum, align with the fund’s objective of identifying US large caps with an AI tilt.
weight 0.630% → 0.660% (+0.030 pp)·stock up 1.4% in the 30 days before
Jul 6·entry $1055.29·now $1055.03Fresh
-0.02%
since Jul 6
QRFT · Weight increase · 2d
Goldman Sachs’ PER of 16.88 and PBR of 2.11, alongside its ROE of 14.56%, position the company as a financial entity aligning with QRFT’s broad large-cap core style, which integrates traditional factors like value and quality. The Qraft AI, combining these traditional factors with proprietary alternative-data overlays, reversed an earlier downward trend, initiating consecutive increases in Goldman Sachs' weight from 0.6300% to 0.6500% between July 1st and July 2nd. This specific rebalancing occurred as Goldman Sachs shares traded at $1021.00, placing them at 92% of their 52-week high, following recent returns of +4.0% over 30 days and +13.2% over 90 days. Such a move indicates the fund manager’s AI identified a compelling signal for increased allocation within this diversified Qraft fund, even with the stock’s current valuation near its yearly peak.
weight 0.630% → 0.650% (+0.020 pp)·stock down 4.1% in the 30 days before
Jul 2·entry $1021.00·now $1055.03Drifting
+3.33%
since Jul 2
QRFT · Weight decrease · 5d
Goldman Sachs presents a PER of 17.5 and PBR of 2.11, with revenue growth at 1.28% and ROE at 14.56%. For QRFT, which employs an AI combining traditional factors like value, momentum, quality, and low-vol with proprietary alternative-data overlays for its broad large-cap core portfolio, this financial profile likely signaled a re-evaluation given the stock's recent price trajectory. The stock’s current price of $1011.37, positioning it at 91% of its 52-week high, reflects a substantial 30-day return of +6.9% and a 1-year return of +61.9%. The consecutive weight decrease observed from June 24 to June 30, moving from 0.6900% to 0.6300%, indicates the AI’s decision to reduce exposure to this Financials sector component after its considerable rally, possibly due to the relatively low revenue growth impacting its forward quality or value assessment at elevated price levels.
weight 0.700% → 0.630% (-0.070 pp)·stock down 1.4% in the 30 days before
Jun 30·entry $1011.37·now $1055.03
+4.32%
since Jun 30
QRFT · Weight decrease · 4d
QRFT’s AI-driven methodology, which dynamically combines traditional factors and proprietary alternative-data overlays, initiated a consecutive decrease in its Goldman Sachs allocation. The fund’s weekly rebalancing schedule across its ~300 US large-cap portfolio enables its system to swiftly adjust positions when detecting shifting market conditions or deteriorating factor scores for an individual stock. This pattern suggests the AI is recalibrating its outlook on GS, possibly weighing its strong 1-year return of +62.5% and current proximity to its 52-week high against its relatively low revenue growth of 1.28%. The AI’s adjustment at the $1020.21 price point reflects a responsive allocation strategy tailored to current market and fundamental data for a broad large-cap core fund.
weight 0.700% → 0.640% (-0.060 pp)·stock up 1.2% in the 30 days before
Jun 29·entry $1020.21·now $1055.03
+3.41%
since Jun 29
QRFT · Weight decrease · 3d
Goldman Sachs' PER of 17.5 and PBR of 2.11, coupled with a 1.28% revenue growth and 14.56% ROE, inform Qraft AI's assessment of traditional factors like value and quality for its broad large-cap core QRFT portfolio. Despite these figures, the Qraft AI initiated a consecutive weight decrease in GS from June 24th to June 26th, signaling a re-evaluation of its attractiveness. This timing aligns with GS trading at $1019.61, which places it at 92% of its 52-week high after a significant 66.2% 1-year return. The AI's decision likely reflects a view that the stock's current valuation has become less compelling relative to its fundamental metrics or other opportunities, particularly given the stock's recent price appreciation. Such a move underscores the AI's dynamic application of both traditional factors and its proprietary alternative-data overlays in managing QRFT's diversified holdings.
weight 0.700% → 0.650% (-0.050 pp)·stock up 2.3% in the 30 days before
Jun 26·entry $1019.61·now $1055.03
+3.47%
since Jun 26
QRFT · Weight decrease · 2d
Goldman Sachs presents a PER of 17.5 and a PBR of 2.11, alongside a 1.28% revenue growth and 14.56% ROE, figures QRFT’s AI analyzes within its multi-factor framework for large-cap core exposure. While these metrics indicate a stable financial institution, they may not signal strong momentum or significant value at its current price near 92% of its 52-week high. The consecutive weight decrease for GS, moving from 0.69% to 0.68% between June 24th and 25th, occurred as the stock traded near its $1019.61 current price, which represents 92% of its 52-week high, following a substantial 66.2% one-year return. Qraft's AI, integrating traditional factors like value, momentum, quality, and low-volatility with proprietary alternative data, likely rebalanced to manage risk or optimize factor exposure as Goldman Sachs reached elevated price levels relative to its growth and profitability metrics.
weight 0.700% → 0.680% (-0.020 pp)·stock up 7.1% in the 30 days before
Jun 25·entry $1065.09·now $1055.03
-0.94%
since Jun 25
QRFT · Weight increase · 2d
Qraft AI, which dynamically balances traditional factors like momentum and quality with proprietary alternative-data overlays, has been actively adjusting its exposure to Goldman Sachs. The fund, which rebalances weekly and maintains a diversified portfolio of approximately 300 US large caps, appears to be detecting sustained positive signals for GS within its models. This is evident in the repeated adjustments, culminating in a weight of 0.70% by June 17th, likely driven by the stock’s substantial one-year return of +78.6%. The system's agility, supported by its frequent rebalancing, permits a responsive increase in allocation as data inputs confirm strengthening sentiment around the financial giant, even with the stock trading near its 52-week high of $1099.14.
weight 0.670% → 0.700% (+0.030 pp)·stock up 16.1% in the 30 days before
Jun 17·entry $1099.14·now $1055.03Fresh
-4.01%
since Jun 17
QRFT · Weight increase · 2d
Qraft AI, managing the broad large-cap core QRFT, likely detected a sustained positive signal for Goldman Sachs, prompting consecutive weight increases from June 10th to June 12th within the fund's ~300 US large cap holdings. This weekly rebalance by the Qraft AI, which blends traditional factors with alternative data overlays, suggests a strengthening conviction in GS’s current trajectory. The financial giant’s recent price appreciation, including a +15.1% return over 30 days, aligns with a momentum factor that the AI system would incorporate. Despite trading near its 52-week high at $1062.75, the continuous upward adjustment of GS's allocation indicates the proprietary models perceive continued favorable conditions for this Financials sector constituent.
weight 0.650% → 0.670% (+0.020 pp)·stock up 11.2% in the 30 days before
Jun 12·entry $1062.75·now $1055.03Fresh
-0.73%
since Jun 12
+5.37%
since Jun 10
+1.57%
since Jun 5
-3.44%
since Jun 4
QRFT · Weight increase · 4d
stock up 15.3% in the 30 days before
Jun 2·entry $1064.58·now $1055.03Fresh
-0.90%
since Jun 2
QRFT · Weight increase · 3d
stock up 13.5% in the 30 days before
Jun 1·entry $1048.58·now $1055.03Fresh
+0.62%
since Jun 1
QRFT · Weight increase · 2d
stock up 13.2% in the 30 days before
May 29·entry $1025.56·now $1055.03Drifting
+2.87%
since May 29
QRFT · Weight increase · 2d
stock up 5.7% in the 30 days before
May 21·entry $988.17·now $1055.03Drifting
+6.77%
since May 21
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
Too hard to callas of Jul 19
The AI ETFs are currently holding Goldman Sachs with mixed recent activity, showing both minor increases and decreases in weighting across different funds. This contrasts with the framework's verdict, which suggests a value investor would find the company too difficult to analyze due to the unpredictable nature of its core business and would therefore avoid it.
- Circle of CompetenceThe highly cyclical nature of investment banking and brokerage services, coupled with significant exposure to market volatility and regulatory changes, makes predicting ten-year cash flows for Goldman Sachs genuinely unpredictable.
- Economic MoatEvaluation of an economic moat is not conducted as the company falls outside the circle of competence.
- ManagementAssessment of management's integrity, intelligence, and capital allocation discipline is not performed as the company's predictability fails the initial screen.
- Financial HealthAnalysis of financial health, including return on equity and owner earnings, is bypassed because long-term cash flows cannot be reliably projected.
- Margin of SafetyDetermining a margin of safety is not possible without a reliable basis for estimating intrinsic value over a conservative time horizon.
Goldman Sachs operates in an industry whose inherent cyclicality and exposure to market volatility make it challenging to reliably project ten-year cash flows. This unpredictability places the company outside the analyst's circle of competence, leading to a 'Too Hard' verdict. Consequently, the framework declines to proceed with further analysis of its economic moat, management quality, financial health, or margin of safety.
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.