as of Jul 8
GE
DefensiveGENERAL ELECTRIC
General Electric Company, doing business as GE Aerospace, designs and produces commercial and defense aircraft engines, integrated engine components, electric power, and aircraft systems. The company operates through two segments, Commercial Engines & Services, and Defense & Propulsion Technologies. The Commercial Engines & Services segment designs, develops, manufactures, maintenance, repair, and overhaul (MRO) services of jet engines and sale of spare parts for commercial airframes, business aviation, and aeroderivative applications.
Close · 3M
+6.02%
Held by 2 AI ETFs
as of Jul 21
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.
QRFT · Weight decrease · 3d
A gradual, consecutive reduction in General Electric's weight marked QRFT's final trading days before its liquidation snapshot on July 8, 2026, with the allocation falling from 0.84% to 0.80% over three periods. This measured adjustment by Qraft's AI, which blends traditional factors like value and low-volatility with proprietary data, appears consistent with moderating exposure to a stock experiencing considerable price expansion, evidenced by a 1-year return of 40.3% and its current price sitting at 92% of its 52-week high. Despite General Electric's 21.7% revenue growth and a 49.03% ROE, its PER of 40.57 and PBR of 17.4 indicate an elevated valuation, which the AI's models likely factored in. Such incremental weekly rebalancing, characteristic of QRFT's diversified large-cap core approach, permitted the fund to scale down its position in GE as the liquidation date approached, reflecting the AI's dynamic assessment of the stock's relative attractiveness.
weight 0.850% → 0.800% (-0.050 pp)·stock up 8.5% in the 30 days before
Jul 8·entry $356.03·now $341.30
QRFT · Weight decrease · 2d
Qraft Technologies' AI, which fuses traditional factors like momentum and value with proprietary alternative-data overlays for its ~300 US large-cap portfolio, initiated a downtrend in GE's weighting through its weekly rebalance cycle. This specific reduction occurred as GE's price reached $366.98, putting it at 97% of its 52-week high following a substantial 30-day return of +21.2%. While GE exhibits strong fundamentals like a 46.22% ROE and 21.75% revenue growth, the AI's rebalancing logic likely flagged the stock's elevated valuation metrics, such as its 45.9 PER, as momentum-driven exposure became less attractive at these levels.
weight 0.850% → 0.820% (-0.030 pp)·stock up 12.0% in the 30 days before
Jul 7·entry $366.98·now $341.30
QRFT · Weight increase · 2d
QRFT's Qraft AI, which synthesizes traditional factors with proprietary alternative-data overlays, has evidently identified strengthening signals for General Electric. The fund’s weekly rebalance cadence and broad large-cap core style allow for incremental adjustments, and GE's +25.8% 30-day return likely triggered the AI's momentum factor. Coupled with a 46.22% ROE, these metrics suggest the AI’s quality and momentum overlays are driving the successive weight increases in the stock, even as it trades at its 52-week high. Within its approximately 300 US large-cap holdings, these continuous, albeit small, adjustments reflect a deliberate algorithmic read of sustained positive drivers.
weight 0.830% → 0.850% (+0.020 pp)·stock up 18.8% in the 30 days before
Jul 2·entry $377.52·now $341.30Fresh
QRFT · Accumulation · 5d
Qraft Technologies' AI, which fuses traditional factors like momentum and quality with proprietary alternative data, has been steadily increasing its exposure to GE within QRFT's portfolio of approximately 300 US large-cap holdings. This accumulation, evident in the incremental weight increase from 0.7600% to 0.8400% over a 10-day period, aligns with GE’s current strong performance metrics. GE’s 21.75% revenue growth and 46.22% ROE likely signal the quality and growth factors the AI considers, while its 30-day return of +26.6% points to significant recent momentum. The fund's weekly rebalancing cadence enables these continuous, small adjustments, allowing the AI to capitalize on GE’s sustained price appreciation, currently trading at $369.00, near its 52-week high.
weight 0.760% → 0.840% (+0.080 pp)·stock up 18.1% in the 30 days before
Jun 25·entry $371.36·now $341.30Fresh
QRFT · Accumulation · 5d
GE's financials, featuring a 21.75% revenue growth and 46.22% ROE, align with quality and momentum factors that Qraft AI integrates into its QRFT ETF. Despite a PER of 43.13 and PBR of 17.4, these figures suggest strong underlying business performance, which, when combined with proprietary alternative-data overlays, likely signaled a favorable outlook for the broad large-cap core fund. The Qraft AI gradually increased GE's weighting in QRFT from 0.7500% to 0.8300% between June 12th and June 24th, a period when GE reached its 52-week high of $365.88 and posted a 30-day return of +23.0%. The AI-managed ETF, which rebalances weekly, appears to have identified sustained positive momentum and quality in GE, prompting these systematic upward adjustments in its portfolio allocation during a period of peak price performance for the industrial giant.
weight 0.750% → 0.830% (+0.080 pp)·stock up 20.8% in the 30 days before
Jun 24·entry $365.88·now $341.30Fresh
QRFT · Accumulation · 5d
GE is currently trading at its 52-week high of $357.64, after experiencing significant appreciation with a +18.2% 30-day return and a +39.9% 1-year return. Despite these elevated price levels, QRFT's AI, which combines traditional factors like momentum and quality with proprietary alternative data overlays, initiated a gradual accumulation of the stock within its diversified large-cap core portfolio. The persistent buying, reflected in the weight increasing from 0.7300% to 0.8000% over the week, suggests the AI continues to identify positive signals for GE. Specifically, GE's 21.75% revenue growth and 46.22% ROE likely provide strong inputs for the AI's factor models, overriding the high PER of 43.24 and PBR of 17.4. This sustained incremental allocation indicates Qraft's AI, with its weekly rebalancing schedule, is prioritizing GE's strong growth and profitability, even at its current market peak.
weight 0.730% → 0.800% (+0.070 pp)·stock up 24.8% in the 30 days before
Jun 17·entry $357.03·now $341.30Fresh
QRFT · Weight increase · 2d
Qraft Technologies' AI, combining traditional factors with proprietary alternative-data overlays, registered GE's 46.22% Return on Equity and 21.75% Revenue Growth as indicators of strong quality and momentum. This algorithmic assessment within QRFT, even with GE's PER at 39.28 and PBR at 17.4, translated into a consecutive weight increase from 0.7500% to 0.7800% between June 12 and June 16, 2026. This period of increased allocation coincided with GE's stock price reaching its 52-week high of $351.73 and its 30-day return climbing 22.7%. The AI's decision to increase exposure aligns with QRFT's broad large-cap core style, suggesting its models detected continued market strength at this price level.
weight 0.750% → 0.780% (+0.030 pp)·stock up 24.9% in the 30 days before
Jun 16·entry $351.73·now $341.30Fresh
QRFT · Weight increase · 2d
weight 0.690% → 0.750% (+0.060 pp)·stock up 7.2% in the 30 days before
Jun 5·entry $328.00·now $341.30Drifting
QRFT · Accumulation · 5d
The Qraft AI, utilizing its unique blend of traditional factors and proprietary alternative-data overlays, has steadily increased its position in GE. This gradual accumulation, evident in GE's weight rising from 0.65% to 0.70% over a span of eight trading days, likely reflects the AI identifying sustained momentum and fundamental strength. A notable 46.22% Return on Equity (ROE) suggests the AI's quality factor is detecting solid financial performance, while the weekly rebalancing cadence allows for such precise, incremental adjustments within its approximately 300 US large-cap portfolio. Even with GE trading at 94% of its 52-week high, the AI's models appear to signal continued upside potential or positive developments captured by its alternative data, driving this consistent buying.
weight 0.650% → 0.700% (+0.050 pp)·stock up 12.0% in the 30 days before
Jun 1·entry $324.60·now $341.30Drifting
QRFT · Accumulation · 5d
GE's weight in QRFT increased gradually, moving from 0.6300% to 0.6900% over several trading days in May 2026, even as the stock trades at $323.76, 94% of its 52-week high. This sustained, stepped accumulation reflects the Qraft AI's methodology, which likely identified GE's 21.75% revenue growth and 46.22% return on equity as compelling quality and momentum drivers, even with a PER of 38.69. The AI's integration of traditional factors with proprietary alternative-data overlays appears to be affirming continued positive signals for GE, despite the stock's recent 6.5% return over 30 days and its proximity to a price peak. Weekly rebalancing allows QRFT to maintain exposure to this large-cap industrial stock, adjusting its allocation in response to these ongoing signals.
weight 0.630% → 0.690% (+0.060 pp)·stock up 14.2% in the 30 days before
May 29·entry $323.76·now $341.30Drifting
QRFT · Accumulation · 5d
The Qraft Technologies AI, managing QRFT, implemented a measured accumulation of GE stock, increasing its weight from 0.63% to 0.69% over eight trading days. This gradual upward adjustment reflects the fund’s method of combining traditional factors like quality and momentum with proprietary alternative-data overlays. GE's 21.75% revenue growth and 46.22% return on equity likely registered as persistent positive signals within the AI's quality and momentum assessments. Despite GE trading at $323.76, near its 52-week high after a +39.7% one-year return, the sustained interest suggests QRFT's AI detected continued strength, making it a suitable holding for its diversified large-cap core portfolio. The weekly rebalancing mechanism permits these incremental adjustments, balancing conviction with careful portfolio management.
weight 0.630% → 0.690% (+0.060 pp)·stock up 10.9% in the 30 days before
May 28·entry $320.82·now $341.30Drifting
QRFT · Accumulation · 5d
GE’s 46.22% ROE and 21.75% revenue growth exhibit the quality and momentum characteristics Qraft AI, managing QRFT, seeks when selecting its ~300 US large caps, a potential counterbalance to the company’s PER of 38.66 and PBR of 17.4. This aligns with QRFT’s broad large-cap core style, where its proprietary alternative-data overlays likely identified underlying strength not fully captured by traditional valuation metrics alone. The gradual accumulation from May 15 to May 27, 2026, began while GE’s 90-day return was -2.4%, indicating the AI detected a potential re-entry point or value opportunity after a short-term dip, despite a 1-year return of +42.8%. This measured increase in QRFT’s weight occurred as GE, priced at $317.21, was at 92% of its 52-week high, suggesting the AI's algorithm identified a favorable window for incremental positioning in the Industrials sector.
weight 0.620% → 0.680% (+0.060 pp)·stock up 11.5% in the 30 days before
May 27·entry $317.21·now $341.30Drifting
QRFT · Weight increase · 2d
stock up 9.2% in the 30 days before
May 21·entry $301.76·now $341.30Chased
PQUS · Weight decrease · 2d
Trading at $359.04, near 95% of its 52-week high after a 1-year return of +43.0% and a 30-day gain of +13.2%, GE's price momentum precedes its portfolio adjustment within PQUS. Despite GE's 21.75% revenue growth and 46.22% ROE, the AI ranking system employed by Pictet Asset Management likely factored in the stock's P/E of 42.96 and P/B of 17.4, potentially reducing its relative appeal within the US large-cap universe. This fund, launched in 2025 and characterized by measured turnover, initiated a consecutive weight decrease for GE from 0.48% to 0.46% on July 9th and 10th, signaling an AI-driven decision during a periodic rebalance cycle. The AI's re-evaluation, possibly also influenced by the fund's sector-balance and concentration rules for its ~165 holdings, seems to be a reaction to GE's significant price appreciation against its valuation metrics within the context of the ETF's specific rebalancing methodology.
weight 0.480% → 0.460% (-0.020 pp)·stock up 8.7% in the 30 days before
Jul 10·entry $359.27·now $341.30
PQUS · Weight increase · 2d
weight 0.580% → 0.620% (+0.040 pp)·stock up 7.2% in the 30 days before
Jun 7·entry $322.04·now $341.30Drifting
LQAI · Exit · 1d
GE's P/E of 45.9 and P/B of 17.4, combined with 21.75% revenue growth and 46.22% ROE, likely initially positioned it favorably within LQAI's core large-cap, AI-driven universe, which selects names without a heavy factor tilt. However, the stock’s significant recent price movement, registering a 21.2% return over 30 days and trading at 97% of its 52-week high of $378.68, presented a changed scenario. This rapid appreciation likely prompted Qraft's AI ranking system, which conducts weekly rebalances, to reassess GE’s relative attractiveness at its current valuation. Consequently, on July 7, 2026, the AI engine removed GE from the approximately 100-stock portfolio, indicating it no longer met the algorithm’s optimal selection criteria despite its growth metrics at this elevated price level.
weight 0.150% → 0 (exited)·stock up 12.0% in the 30 days before
Jul 7·entry $366.98·now $341.30
LQAI · New entry · 1d
weight 0 → 0.130% (new)·stock up 11.2% in the 30 days before
Jun 9·entry $330.44·now $341.30Drifting
AMOM · Exit · 1d
The AMOM portfolio initially saw GE's allocation gradually increase from 3.28% to 3.38% over eight days, a cadence consistent with its multi-signal momentum composite detecting positive signals as the stock posted a +10.8% 30-day return. However, the subsequent abrupt removal to 0.00% suggests Qraft's forward-looking model, which prioritizes names expected to extend their runs rather than merely holding past performers, detected a shift. At a price of $317.72, sitting at 92% of its $345.74 52-week high, the system likely assessed that further momentum extension for GE was less probable. Despite the 21.75% revenue growth and 46.22% ROE, the combination of high valuation multiples (PER 37.74, PBR 17.4) and the stock's proximity to its yearly peak signaled a diminished probability of future upward momentum, prompting the full divestment from its concentrated sleeve.
weight 3.350% → 0 (exited)·stock up 10.9% in the 30 days before
Jun 2·entry $317.72·now $341.30
AMOM · Accumulation · 5d
The gradual accumulation in GE's weight, oscillating incrementally from 3.18% to 3.38% over eight trading days, signals a nuanced rebalance by AMOM. This specific cadence, occurring as GE trades at $323.76 and has delivered a 30-day return of +6.5%, aligns with Qraft's method of identifying companies expected to extend their price runs rather than merely holding top performers. Despite trading near its 52-week high, the ETF's multi-signal momentum composite, likely influenced by GE's 21.75% revenue growth and 46.22% return on equity, points to sustained fundamental and price momentum. Such a persistent, albeit minor, increase in allocation within AMOM's concentrated portfolio reflects a conviction that GE's existing momentum, underscored by its year-long return of +39.7%, is still developing, justifying a position increase into strength.
weight 3.180% → 3.380% (+0.200 pp)·stock up 14.2% in the 30 days before
May 29·entry $323.76·now $341.30Drifting
AMOM · Accumulation · 5d
Trading at $323.76, GE sits at 94% of its 52-week high, having delivered a +39.7% return over the past year and a +6.5% gain in the last 30 days. This trajectory aligns with Qraft Technologies' AMOM methodology, which seeks out names expected to extend their runs, leveraging a multi-signal momentum composite encompassing price trends, earnings revisions, and fundamental momentum. Despite a PER of 39.14 and PBR of 17.4, the fund's gradual accumulation of GE, seen in the recent weight increase from 3.1600% to 3.3700%, suggests its signals point to continued upward movement, likely driven by the company’s 21.75% revenue growth and 46.22% ROE. Given AMOM's concentrated momentum sleeve and weekly rebalancing, these incremental increases in GE’s weighting reflect conviction in the stock's persistent positive trend.
weight 3.160% → 3.370% (+0.210 pp)·stock up 10.9% in the 30 days before
May 28·entry $320.82·now $341.30Drifting
AMOM · Accumulation · 5d
AMOM has been gradually accumulating General Electric shares, increasing its weight from 3.07% to 3.34% across late May 2026 with consistent, small increments. This measured accumulation at GE's current price of $317.21, near its 52-week high after a 42.8% one-year return, reflects Qraft’s multi-signal momentum composite identifying persistent positive trends. High revenue growth of 21.75% and a 46.22% ROE likely contribute significantly to the ETF's fundamental momentum and earnings revision signals, supporting a conviction call on GE extending its run. The incremental adjustments align with AMOM’s strategy of building positions in its concentrated portfolio when signals indicate a sustained upward trajectory, rather than a single, sudden rebalance based on a top quintile screen.
weight 3.070% → 3.340% (+0.270 pp)·stock up 11.5% in the 30 days before
May 27·entry $317.21·now $341.30Drifting
AMOM · Weight increase · 3d
stock up 4.7% in the 30 days before
May 20·entry $300.17·now $341.30Chased
AMOM · Weight increase · 2d
stock down 6.0% in the 30 days before
May 19·entry $285.28·now $341.30Chased
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
The AI ETFs, including AMOM, PQUS, QRFT, and AIEQ, currently hold General Electric, with some showing recent trends of decreasing their weight in the company. This stands in contrast to a Buffett-style analysis which deems GE "Too Hard" to evaluate due to its complex and changing structure. The AI funds are actively involved with the stock, whereas the framework suggests avoiding such a company entirely due to its lack of predictable earning power.
- Circle of CompetenceThe company's prolonged and extensive restructuring, including numerous spin-offs, makes it genuinely difficult to project stable unit economics and earning power for ten years.
- Economic MoatAn assessment of durable competitive advantages cannot be confidently made given the unpredictability of the company's long-term earning power.
- ManagementEvaluating management's capital allocation and candor is not feasible when the business's fundamental predictability is unestablished.
- Financial HealthFinancial health metrics, while reported, cannot be interpreted in the context of stable long-term earning power or owner earnings without a predictable business model.
- Margin of SafetyA defensible discount to intrinsic value cannot be determined when the underlying business cash flows are deemed too unpredictable for reliable projection.
General Electric presents a challenge to the Buffett-style framework due to its extensive history of restructuring and spin-offs, making long-term cash flow predictability difficult to ascertain. Consequently, the company falls outside the circle of competence, rendering a comprehensive value assessment impossible. Without predictable unit economics, further analysis into moats, management, financials, or margin of safety cannot be reliably conducted.
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.