AKAM

AMOM · Weight decrease · 2d

Akamai Technologies’ PER of 43.02, PBR of 2.52, and 6.15% revenue growth, alongside a 9.12% ROE, suggest a valuation typically consistent with growth-oriented momentum strategies, which AMOM’s multi-signal composite seeks. However, AMOM's method prioritizes names expected to extend their runs, and its concentrated momentum sleeve implies a high conviction for holdings. The consecutive weight decreases for AKAM from 1.39% to 1.34% between July 13th and July 15th directly follow a significant 30-day return of -25.1%. This sharp short-term decline, contrasting with the longer 90-day positive return and bringing the stock to $120.01 (74% of its 52-week high), likely indicated a diminished likelihood of AKAM extending its momentum run in the near term according to the fund's price trend signals.

weight 1.390% → 1.340% (-0.050 pp)·stock down 10.1% in the 30 days before

Jul 15·entry $120.01·now $123.13

AMOM · Weight decrease · 3d

AMOM has demonstrated a consistent, albeit slightly irregular, reduction in its AKAM holding, decreasing its weight from 1.31% to 1.07% over approximately two weeks, signaling a clear unwinding of conviction. This gradual divestment aligns with the stock's recent price action, as AKAM experienced an 18.3% decline over the past 30 days, currently trading at 75% of its 52-week high after a significant 54.6% one-year return. Qraft's multi-signal momentum composite, designed to select names expected to *extend* their runs rather than mechanically holding past performers, likely detected a shift in AKAM's momentum profile due to this recent price dip. Given AMOM's concentrated momentum sleeve, where position changes carry conviction, this systematic reduction across multiple weekly rebalances indicates the AI-driven system no longer perceives the continuation signals for AKAM, despite its 90-day return of 27.4% and 6.15% revenue growth.

weight 1.230% → 1.070% (-0.160 pp)·stock down 15.9% in the 30 days before

Jun 22·entry $120.74·now $123.13

AMOM · Weight decrease · 2d

Given Qraft Technologies' multi-signal momentum composite, which picks names expected to extend their runs within its concentrated ~50-stock portfolio, the consecutive weight decrease observed in AKAM over multiple weekly rebalance periods signifies a clear algorithmic shift. This sustained reduction, from 1.35% to 1.13% across the period, indicates that despite AKAM's recent +7.0% 30-day return, AMOM's models are detecting weakening momentum from other signals like earnings revisions or alternative data. The fund’s focus on extending runs, not just holding past performers, suggests that the current PER of 41.73, combined with a 6.15% revenue growth, may no longer align with the anticipated upside required by its conviction-driven position changes. Consequently, the AI manager is systematically reducing exposure as its composite signals no longer support a continued run for AKAM at its current price levels.

weight 1.230% → 1.130% (-0.100 pp)·stock down 11.6% in the 30 days before

Jun 18·entry $124.91·now $123.13

AMOM · Weight decrease · 6d

AMOM displays a consistent, gradual reduction in its AKAM position, decreasing from 1.37% on June 8th to 1.22% by June 15th through a series of small, daily adjustments. This methodical scaling back aligns with Qraft's multi-signal momentum strategy, which prioritizes identifying names expected to extend their runs rather than simply holding past winners. While AKAM has delivered a 30-day return of +26.9% and a 90-day return of +46.7%, currently trading at $134.20 and near 83% of its 52-week high, these prior gains suggest that much of its recent momentum has already materialized. The concentrated momentum sleeve and weekly rebalancing allow the AI system to tactically reduce exposure as its composite signals likely indicate diminished potential for further immediate upward momentum extension for AKAM, particularly given its PER of 43.12 relative to its 6.15% revenue growth.

weight 1.480% → 1.220% (-0.260 pp)·stock down 13.8% in the 30 days before

Jun 15·entry $134.20·now $123.13

AMOM · Weight decrease · 5d

AKAMAI TECHNOLOGIES INC (AKAM) currently trades at $133.50, positioning it at 83% of its 52-week high, having delivered a significant +28.5% return over the last 30 days and +45.2% over 90 days. For Qraft Technologies' AMOM ETF, which employs a multi-signal momentum composite designed to pick names expected to extend their runs rather than simply holding top performers, this trajectory likely signaled a shift. The consecutive weight decrease from 1.3700% on June 8th to 1.2500% by June 12th indicates that the AI's models, integrating price trends, earnings revisions, fundamental momentum, and alternative data, detected a deceleration in AKAM's potential for further run extension. A PER of 43.12 against a revenue growth of 6.15% may have contributed to signals indicating a harder path for continued rapid appreciation at this price level. Given AMOM’s concentrated momentum sleeve and weekly rebalancing, this sustained reduction in AKAM's weight reflects a deliberate conviction that the stock's forward momentum prospects have diminished.

weight 1.480% → 1.250% (-0.230 pp)·stock down 17.2% in the 30 days before

Jun 12·entry $133.50·now $123.13

AMOM · Weight decrease · 4d

AMOM, guided by its multi-signal momentum composite, appears to be anticipating a deceleration in AKAM's run rather than a continued extension. Operating with a concentrated portfolio of approximately 50 US large caps and rebalancing weekly, the fund's consecutive weight decrease in AKAM reflects conviction in this outlook. Despite AKAM’s substantial 90-day return of +45.2%, AMOM’s multi-signal momentum composite likely indicated a lessening probability for the stock to extend its run from the current $133.50 price point. This active management choice suggests the proprietary signals no longer support holding AKAM at its previous weighting for extending its prior gains.

weight 1.480% → 1.270% (-0.210 pp)·stock down 11.4% in the 30 days before

Jun 11·entry $132.46·now $123.13

AMOM · Weight decrease · 3d

AKAMAI TECHNOLOGIES' financial profile, showing a PER of 43.12, PBR of 2.52, 6.15% revenue growth, and 9.12% ROE, indicates a valuation point where its fundamental momentum may no longer be signaling the sustained extension of runs that Qraft Technologies' AMOM seeks. Despite significant price appreciation, including a 30.2% 30-day return, the multi-signal momentum composite, which considers price trends alongside earnings revisions and alternative-data signals, detected a shift in AKAM's momentum profile. The subsequent weight decrease, commencing on 2026-06-08 from 1.48% to 1.37% and continuing down to 1.31% by 2026-06-10, reflects the fund's conviction that the prior upward run for AKAM, currently trading at $129.97 and 81% of its 52-week high, may be losing its extension potential. Given AMOM's concentrated momentum sleeve and weekly rebalancing, such a move represents a high conviction signal that the stock's future run extension might not meet the ETF's criteria for continued heavy weighting.

weight 1.480% → 1.310% (-0.170 pp)·stock down 15.1% in the 30 days before

Jun 10·entry $129.97·now $123.13

AMOM · Weight decrease · 2d

Akamai Technologies' weight in AMOM, after its initial inclusion at 1.49% and subsequent minor fluctuations, demonstrated a gradual decrease to 1.35% over two consecutive trading days. This specific de-weighting pattern for a stock like AKAM, which has seen its price surge by 44.4% in 30 days and 80.3% over a year, aligns with AMOM's sophisticated multi-signal momentum strategy. While AKAM's past returns are substantial, nearing its 52-week high with a PER of 52.32, the AI manager is designed to pick names *expected to extend their runs*, not simply to hold those that have already run significantly. This calculated reduction suggests the composite signals, encompassing price trends, earnings revisions, and fundamental momentum, may be detecting a deceleration in AKAM's future momentum extension, prompting the concentrated momentum sleeve to slightly trim its exposure rather than maintain a full position in a potentially overextended name.

weight 1.480% → 1.350% (-0.130 pp)·stock down 6.7% in the 30 days before

Jun 9·entry $137.81·now $123.13

AIEQ · Weight decrease · 2d

Amplify ETFs’ AIEQ, leveraging IBM Watson NLP for daily market analysis across thousands of US equities, appears to have registered a deteriorating outlook for AKAMAI TECHNOLOGIES. The fund's daily rebalancing of its 140-180 stock portfolio likely drove the consecutive weight decrease, accelerating significantly on July 1st, as the AI model processed adverse shifts in sentiment or fundamentals. Specifically, AKAM's -21.2% 30-day return, alongside other real-time data points, likely triggered the AI's algorithm to reduce conviction in the Information Technology stock. This swift adjustment reflects AIEQ's strategy to translate dynamic information into immediate portfolio repositioning, reducing exposure to companies exhibiting negative momentum.

weight 0.240% → 0.150% (-0.090 pp)·stock down 29.4% in the 30 days before

Jul 3·entry $112.73·now $123.13

AIEQ · Weight decrease · 3d

AIEQ exhibits a consistent, stepped reduction in its AKAM weighting, moving from 0.33% to 0.28% over several trading days in early June. This gradual divestment likely stems from IBM Watson's NLP engine detecting a slight softening in sentiment or a shift in the perceived risk-reward balance for AKAM, following its significant price appreciation of 28.6% over 30 days and 74.5% over the past year, placing it at 82% of its 52-week high. Such continuous, minor adjustments are characteristic of Amplify's AIEQ, which rebalances daily based on a hybrid of fundamental and sentiment signals. The fund’s risk overlay, informed by a P/E ratio of 43.12 for a company with 6.15% revenue growth, would justify a measured reduction as the stock nears valuation resistance after its strong performance.

weight 0.310% → 0.280% (-0.030 pp)·stock down 11.4% in the 30 days before

Jun 11·entry $132.46·now $123.13

AIEQ · Weight decrease · 2d

The gradual, stepped reduction in AKAM’s weight within AIEQ, moving from 0.33% to 0.29% over a week, suggests a nuanced, evolving sentiment shift rather than an abrupt negative signal. This pattern likely reflects AIEQ's IBM Watson NLP detecting a subtle erosion in positive sentiment or a stabilization of positive fundamental signals for AKAM, which has seen its price climb over 30% in the last 30 days to $129.97. Given AKAM’s comparatively high PER of 43.12 against its 6.15% revenue growth, the AI's daily rankings are probably moderating exposure to a position that has experienced significant recent appreciation. The fund’s high-turnover, daily rebalancing mechanism allows for such precise, incremental de-risking in response to continuously processed information, aligning with its hybrid fundamental and sentiment strategy.

weight 0.310% → 0.290% (-0.020 pp)·stock down 15.1% in the 30 days before

Jun 10·entry $129.97·now $123.13

AIEQ · Weight decrease · 2d

weight 0.330% → 0.310% (-0.020 pp)·stock up 22.4% in the 30 days before

Jun 7·entry $141.87·now $123.13