BKR

LQAI · Exit · 1d

BAKER HUGHES COMPANY (BKR) is currently priced at $54.47, around 78% of its 52-week high, following recent sharp declines of -17.5% over 30 days and -16.1% over 90 days, despite a 43.5% one-year return. Given LQAI's weekly rebalancing and its AI-driven selection engine from Qraft, which sits between broad and concentrated momentum styles, this recent negative price momentum likely triggered a de-ranking for BKR. The Qraft AI system likely evaluated BKR’s modest 0.2% revenue growth in conjunction with the significant price deterioration. Consequently, despite a PER of 16.76, PBR of 2.39, and an ROE of 16.84%, the stock was entirely removed from this ~100 US large-cap core portfolio on 2026-07-07, indicating the AI's dynamic response to current performance trends.

weight 0.190% → 0 (exited)·stock down 17.6% in the 30 days before

Jul 7·entry $54.47·now $55.15

AMOM · Exit · 1d

BAKER HUGHES COMPANY experienced a calculated reduction in its weight within AMOM’s portfolio, moving from 1.66% on May 21st down to 1.51% by June 1st, before a complete exit on June 2nd. This gradual scaling down, followed by a decisive removal, aligns with Qraft’s multi-signal momentum composite, which prioritizes names expected to extend their runs rather than simply holding top performers. Even with BKR trading at $64.54, near its 52-week high after a 72.8% one-year return, the system’s concentrated momentum sleeve likely detected a fading potential for further momentum extension. This shift in conviction could be partly influenced by its modest 0.2% revenue growth, a fundamental momentum signal that likely conflicted with otherwise strong price trends, prompting the systematic exit within a weekly rebalancing cycle.

weight 1.510% → 0 (exited)·stock down 6.6% in the 30 days before

Jun 2·entry $64.54·now $55.15

AMOM · Weight decrease · 2d

Qraft Technologies' AMOM, with its multi-signal momentum composite and concentrated portfolio of around 50 US large caps, systematically reduced its BAKER HUGHES COMPANY weight from 1.7000% to 1.5100% over the past week. The fund, designed to pick names expected to extend their runs, likely detected a shift in BKR’s underlying signals despite its significant 1-year price return of +66.1% and current valuation at 90% of its 52-week high. This consecutive de-weighting, occurring during its weekly rebalance, suggests the AI’s model — encompassing price trends, earnings revisions, fundamental momentum, and alternative data — no longer sees conviction for extended growth in the energy stock. Specifically, BKR's recent 0.2% revenue growth could signal a lack of fundamental acceleration, influencing AMOM's decision to trim exposure as it seeks more promising future momentum.

weight 1.580% → 1.510% (-0.070 pp)·stock down 9.6% in the 30 days before

Jun 1·entry $62.97·now $55.15

AMOM · Weight decrease · 4d

AMOM's multi-signal momentum composite, designed to pick names expected to extend their runs within its roughly 50-stock concentrated portfolio, likely detected a deceleration in BKR's momentum dynamics. Despite a 90-day return of +22.1%, the ETF, which rebalances weekly, saw sufficient signals to trim its position progressively from 1.70% to 1.55% over several days in late May. This adjustment reflects the fund's method of actively identifying whether a stock is genuinely poised to continue its upward trajectory rather than mechanically holding past performers. Consequently, the algorithms may have weighed the relatively low 0.2% revenue growth against BKR's current valuation, near 91% of its 52-week high, as a sign of diminishing forward impetus.

weight 1.700% → 1.550% (-0.150 pp)·stock down 7.6% in the 30 days before

May 27·entry $63.20·now $55.15

AMOM · Weight decrease · 3d

BAKER HUGHES COMPANY’s revenue growth of 0.2%, combined with a PER of 21.03 and PBR of 2.39, indicates a valuation point that Qraft’s AMOM ETF, which seeks names expected to extend their runs based on fundamental momentum, found less compelling. The multi-signal momentum composite detected a shift, initiating a consecutive weight decrease from 1.70% on May 21st, 2026, as the stock, at $66.73, neared 96% of its 52-week high. This precise adjustment reflects the conviction-driven design of AMOM's concentrated momentum sleeve, signaling that despite BKR's 1-year return of 77.2%, the fund's signals pointed to a diminishing likelihood of continued extension.

weight 1.700% → 1.620% (-0.080 pp)·stock down 3.2% in the 30 days before

May 26·entry $66.73·now $55.15

AMOM · Weight decrease · 2d

BAKER HUGHES COMPANY's modest revenue growth of 0.2%, coupled with a PER of 21.03 and a PBR of 2.39, likely contributed to the shifting signals within Qraft Technologies' AMOM fund. The multi-signal momentum composite, designed to pick names expected to extend their runs rather than mechanically holding top performers, observed a consecutive weight decrease for BKR on May 21st and 22nd. This reduction, from 1.70% to 1.65%, coincided with the stock trading at $66.06, only 5% below its 52-week high of $69.67, after a 78.0% return over the past year. Given AMOM's concentrated momentum sleeve, a decrease in allocation for a stock near its peak suggests the AI-driven system detected an evolving conviction regarding BKR's future upward momentum.

weight 1.700% → 1.650% (-0.050 pp)·stock up 2.4% in the 30 days before

May 22·entry $66.06·now $55.15

AMOM · Weight decrease · 5d

The AI ETF likely initiated the consecutive weight decrease for BKR due to its extremely low revenue growth of 0.2%, signaling a lack of fundamental momentum or potential overvaluation given its PER of 20.57. This suggests the algorithm is proactively reducing exposure to stocks with deteriorating growth prospects. For retail investors, this underscores the importance of closely monitoring revenue growth as a key indicator of a company's health, even if other metrics appear solid. An AI's rebalancing acts can provide valuable insight into evolving fundamental perspectives on specific holdings.

weight 1.810% → 1.600% (-0.210 pp)·stock up 2.8% in the 30 days before

May 11·entry $64.60·now $55.15

AMOM · Weight decrease · 4d

The AI ETF is likely reducing its BKR allocation due to the company's near-stagnant revenue growth of 0.2%, indicating a lack of business momentum despite decent profitability metrics. For retail investors, this highlights that even seemingly stable companies can be divested by algorithms when core growth metrics falter, suggesting a deeper look into a company's sales trajectory is crucial.

weight 1.810% → 1.610% (-0.200 pp)·stock up 0.7% in the 30 days before

May 8·entry $63.89·now $55.15

AMOM · Weight decrease · 3d

The AI fund likely initiated consecutive weight decreases for BKR due to its extremely low revenue growth of 0.2%, signaling stagnation and limited future expansion potential to the algorithm. Retail investors should heed this signal by critically evaluating BKR's long-term growth prospects to determine if the stock aligns with their investment objectives, especially if seeking growth.

weight 1.810% → 1.630% (-0.180 pp)·stock up 0.6% in the 30 days before

May 7·entry $63.53·now $55.15

AMOM · Weight decrease · 2d

The AI likely initiated a consecutive weight decrease for BKR due to its near-stagnant revenue growth of 0.2%, signaling a lack of top-line expansion and potential future underperformance relative to its valuation. Despite a decent ROE, the algorithm prioritized the anemic growth, indicating a lack of confidence in BKR's ability to deliver significant future returns within the energy sector. For retail investors, this illustrates that AI models highly prioritize strong revenue growth alongside profitability, suggesting investors should scrutinize a company's sales trajectory closely when evaluating long-term potential, rather than focusing solely on current earnings or book value.

weight 1.810% → 1.670% (-0.140 pp)·stock up 8.8% in the 30 days before

May 6·entry $66.67·now $55.15

AMOM · Exit · 1d

weight 1.210% → 0 (exited)·stock down 0.8% in the 30 days before

Apr 2·entry $60.38·now $55.15

AMOM · Weight decrease · 3d

weight 1.320% → 1.210% (-0.110 pp)·stock down 3.5% in the 30 days before

Apr 1·entry $60.34·now $55.15

AMOM · Weight decrease · 2d

weight 1.320% → 1.250% (-0.070 pp)·stock down 5.8% in the 30 days before

Mar 31·entry $61.05·now $55.15

AIEQ · Exit · 1d

Baker Hughes Company (BKR) exhibited a Price-to-Earnings ratio of 20.34 and a Price-to-Book ratio of 2.39, supported by a 16.84% Return on Equity, yet its revenue growth registered only 0.2%. For AIEQ, which balances "fundamentals + sentiment," this minimal revenue expansion likely indicated a softening fundamental outlook despite a reasonable ROE. The AI-managed fund initiated the full removal of BKR from its portfolio on May 30, 2026, when the stock was trading at $63.88, near 92% of its 52-week high after a 69.0% 1-year return. Given AIEQ's daily rebalancing and reliance on IBM Watson NLP ingesting diverse data, the model likely identified new negative sentiment or a re-evaluation of the company's growth prospects that overrode its prior inclusion. This suggests the system detected a tipping point where the perceived valuation, alongside the low revenue growth, no longer aligned with its daily ranking for inclusion within its 140-180 stock portfolio, prompting the divestiture of its 0.0900% position.

weight 0.090% → 0 (exited)·stock down 7.2% in the 30 days before

May 30·entry $62.97·now $55.15

AIEQ · Sudden change · 1d

The AI ETF likely significantly reduced its BKR holding due to concerns that its high P/E ratio of 22.01 was unsustainable given the extremely low revenue growth of 0.2%, signaling a poor risk-reward profile. Retail investors should recognize that AI models rapidly de-risk from companies where valuation does not align with growth prospects, even if current profitability is decent.

weight 0.520% → 0.100% (-0.420 pp)·stock up 14.6% in the 30 days before

May 3·entry $69.01·now $55.15