FTNT

AMOM · Accumulation · 6d

FTNT’s return on equity reaching 155.65% alongside a 15.75% revenue growth rate aligns with Qraft Technologies’ multi-signal momentum composite approach, which seeks names expected to extend their current positive performance. While carrying a PER of 60.58 and PBR of 47.72, these figures, coupled with the high profitability, indicate the conviction within AMOM’s concentrated momentum sleeve for companies demonstrating significant fundamental momentum. The fund's gradual accumulation, observed as its allocation increased from 2.72% on July 8th to 2.89% by July 17th, coincided with FTNT trading near its 52-week high after a 90-day return of 91.9%. This pattern of increasing weight suggests that AMOM's composite signals, incorporating price trends and fundamental momentum, consistently favored FTNT during its weekly rebalances, indicating continued upward potential at the current $161.61 price.

weight 2.720% → 2.890% (+0.170 pp)·stock up 9.9% in the 30 days before

Jul 17·entry $161.61·now $160.36Fresh

AMOM · Accumulation · 5d

Qraft Technologies' AMOM ETF, designed to pick names expected to extend their runs using a multi-signal momentum composite, has incrementally increased its exposure to Fortinet. Given the fund's concentrated momentum sleeve of approximately 50 US large caps and weekly rebalancing, such consistent upward adjustments from 2.6700% to 2.8800% indicate a conviction in the stock's continued upward trajectory. This strategic positioning likely stems from Fortinet's 90-day return of +91.9%, signaling strong short-to-medium term price momentum, which aligns with AMOM's method for identifying extension plays. Furthermore, the company’s 155.65% ROE suggests a significant internal generation of value, a fundamental momentum signal that further supports the AI system's accumulation at a current price near its 52-week high.

weight 2.790% → 2.880% (+0.090 pp)·stock up 7.6% in the 30 days before

Jul 16·entry $160.78·now $160.36Fresh

AMOM · Accumulation · 5d

Qraft Technologies' AMOM, designed to identify and hold names expected to extend their current runs via a multi-signal momentum composite, has been gradually increasing its position in Fortinet. The fund's concentrated momentum sleeve, comprising around 50 US large caps and rebalancing weekly, made deliberate additions to FTNT, pushing its weight from 2.77% to 2.86% over three days. This strategic move suggests AMOM's model continues to find favorable signals for the stock, currently trading near its 52-week high of $164.51, propelled by a 90-day return of +96.6%. High figures such as Fortinet's 155.65% ROE likely contribute to the fundamental momentum component within AMOM's comprehensive analysis.

weight 2.760% → 2.860% (+0.100 pp)·stock up 12.4% in the 30 days before

Jul 15·entry $164.51·now $160.36Fresh

AMOM · Accumulation · 5d

The detected pattern of gradual accumulation in AMOM's Fortinet weighting, characterized by daily adjustments typically oscillating between -0.10% and +0.10% yet resulting in an overall increase from 2.70% to 2.82%, reflects a measured conviction. This methodical positioning, by a manager focused on extending runs, aligns with Fortinet’s current price of $166.83, which is 100% of its 52-week high and follows a 97.6% return over the past 90 days. AMOM's multi-signal momentum composite likely identifies continuation potential in these price trends, further supported by the company’s 155.65% ROE and 15.75% revenue growth, prompting the algorithm to incrementally deepen its allocation within its concentrated sleeve.

weight 2.700% → 2.820% (+0.120 pp)·stock up 15.0% in the 30 days before

Jul 14·entry $166.83·now $160.36Fresh

AMOM · Accumulation · 5d

AMOM, managed by Qraft Technologies, leverages a multi-signal momentum composite to pick US large caps expected to extend their runs, rather than simply holding current top quintile performers. The gradual accumulation of FTNT, increasing its weight from 0.0000% to 2.7700% over a week, reflects this strategy's conviction within the fund's concentrated ~50-stock portfolio. Given FTNT’s 90-day return of +94.0% and its current price near the 52-week high, the system likely detected a continuation of upward price trends and fundamental strength. This weekly rebalancing fund’s targeted selection approach suggests the system projects sustained momentum for the cybersecurity firm, also supported by its high ROE of 155.65%.

weight 2.700% → 2.770% (+0.070 pp)·stock up 15.7% in the 30 days before

Jul 13·entry $160.62·now $160.36Fresh

AMOM · Weight increase · 3d

With FTNT's PER at 59.3, PBR at 47.72, and Revenue Growth at 15.75%, coupled with a ROE of 155.65%, AMOM's multi-signal momentum composite likely identified strong underlying financial characteristics. These metrics suggest a company demonstrating significant financial performance, aligning with Qraft's method of picking names expected to extend their runs, warranting a conviction-based position within its concentrated momentum sleeve. The fund initiated a 2.7000% weight in FTNT on July 2nd, coinciding with the stock's recent price acceleration, as evidenced by a +100.3% 90-day return and currently trading at 98% of its 52-week high. Subsequently, the consecutive weight increases to 2.7600% and then 2.7900% reflect the AI manager's continued signal reinforcement, indicating an expectation that FTNT's strong price trends will persist given its recent upward trajectory.

weight 0 → 2.790% (new)·stock up 6.0% in the 30 days before

Jul 7·entry $158.67·now $160.36Fresh

AMOM · Weight increase · 2d

Fortinet's substantial ROE of 155.65% and 15.75% revenue growth, despite its PER of 59.3 and PBR of 47.72, contribute to a fundamental momentum profile that Qraft's multi-signal composite identifies. This financial strength aligns with AMOM's strategy of picking names expected to extend their runs rather than merely holding top performers. The fund initiated its position in Fortinet on 2026-07-02, at a point when the stock hit its 52-week high of $162.35 following a significant 90-day return of +109.9%. This rapid appreciation, viewed through the lens of price trends and an expectation of continued momentum, likely led to the concentrated momentum sleeve increasing its conviction, evidenced by the consecutive weight change to 2.76% by 2026-07-06.

weight 0 → 2.760% (new)·stock up 10.8% in the 30 days before

Jul 6·entry $162.35·now $160.36Fresh

AMOM · New entry · 1d

FTNT's P/E of 59.3, P/B of 47.72, 15.75% revenue growth, and 155.65% ROE align with AMOM's multi-signal momentum composite, suggesting underlying fundamental strength that supports price trends. These metrics indicate that FTNT exhibits the kind of fundamental momentum and potentially positive earnings revisions that Qraft Technologies seeks in names expected to extend their current runs. The ETF's entry into FTNT with a 2.7000% weight on 2026-07-02, following days of 0% allocation, coincides with the stock trading at $156.25, near 98% of its 52-week high. This move occurs after FTNT delivered a 30-day return of +20.2% and a 90-day return of +107.7%, signaling a conviction by the concentrated momentum sleeve of AMOM that the stock's upward trajectory has further continuation potential.

weight 0 → 2.700% (new)·stock up 5.0% in the 30 days before

Jul 2·entry $156.25·now $160.36Drifting

QRFT · Weight increase · 2d

Fortinet is trading at $147.14, reaching the top of its $74.39 to $147.14 52-week range, fueled by a 30-day return of +78.1% and a 90-day return of +89.6%. This strong upward price trajectory likely triggered QRFT's AI system, which incorporates momentum as a traditional factor in its weekly rebalancing decisions for its broad large-cap core portfolio. Despite a PER of 54.2 and PBR of 47.72, the AI's proprietary alternative-data overlays, combined with the 15.75% revenue growth and 155.65% ROE, could signal sustained quality and growth. The consecutive weight increase from 0.21% on May 29th to 0.23% on June 1st indicates the AI found a reinforcing signal for its tilt towards this security, even as it hit new highs, aligning with its blend of traditional factors and alternative data.

weight 0.200% → 0.230% (+0.030 pp)·stock up 74.5% in the 30 days before

Jun 1·entry $147.14·now $160.36Drifting

QRFT · Weight increase · 2d

The AI likely increased FTNT's weight due to its exceptionally high ROE of 123.64% and solid revenue growth, indicating strong profitability and efficient capital management despite elevated valuation multiples. This suggests the algorithm prioritizes robust underlying business quality and earning power over traditional P/E or P/B ratios for growth-oriented technology stocks. For retail investors, this illustrates the importance of analyzing deep profitability metrics like ROE, not just valuation, as advanced AI systems may identify value in highly efficient businesses.

weight 0.140% → 0.180% (+0.040 pp)·stock up 41.4% in the 30 days before

May 8·entry $114.07·now $160.36Chased

QRFT · New entry · 1d

stock down 0.3% in the 30 days before

Mar 20·entry $81.40·now $160.36Chased

AIEQ · New entry · 1d

weight 0 → 0.140% (new)·stock up 60.2% in the 30 days before

May 30·entry $147.14·now $160.36Drifting

PQUS · New entry · 1d

weight 0 → 0.020% (new)·stock up 24.3% in the 30 days before

Jun 12·entry $146.30·now $160.36Drifting

LQAI · Weight increase · 2d

Fortinet, currently trading at $147.14, sits at its 52-week high after delivering a 78.1% return over the last 30 days and 89.6% over 90 days. Despite this elevated price and valuation metrics such as a P/E of 54.2, the LG-Qraft AI's ranking engine increased FTNT's weight to 0.14% on June 1st for LQAI's weekly rebalance, following a previous increase. The Qraft AI's core large-cap selection, positioned between broad and concentrated momentum styles, appears to be responding to the company's 15.75% revenue growth and 155.65% return on equity. This sustained interest suggests the AI model continues to find the stock appealing for its portfolio, even with the current price levels.

weight 0.120% → 0.140% (+0.020 pp)·stock up 74.5% in the 30 days before

Jun 1·entry $147.14·now $160.36Drifting

LQAI · Accumulation · 5d

The AI likely chose gradual accumulation for Fortinet due to its exceptionally high ROE and solid revenue growth, indicating strong profitability despite its high valuation, while a measured approach helps manage market impact. The sudden larger increase suggests increased AI conviction or a specific trigger in its models. For retail investors, this highlights the utility of a disciplined, staggered entry strategy, like dollar-cost averaging, when investing in growth stocks with strong fundamentals but elevated valuations to capitalize on long-term potential while mitigating short-term price volatility.

weight 0.530% → 0.680% (+0.150 pp)·stock up 50.5% in the 30 days before

May 11·entry $115.44·now $160.36Chased

LQAI · Weight increase · 2d

The AI ETF likely initiated a consecutive weight increase in Fortinet due to the company's exceptional profitability and efficiency, as indicated by its extremely high Return on Equity of 123.64%. Despite elevated valuation multiples, the AI algorithm appears to prioritize this robust fundamental strength within the Information Technology sector. For retail investors, this suggests paying close attention to companies exhibiting unusually strong financial health metrics like ROE, even if traditional P/E or P/B ratios seem high, as these can be key drivers for AI-driven portfolio adjustments. Always conduct independent due diligence to understand the sustainability of such performance.

weight 0.540% → 0.670% (+0.130 pp)·stock up 41.4% in the 30 days before

May 8·entry $114.07·now $160.36Chased

LQAI · Accumulation · 4d

The AI likely favors Fortinet's exceptional 123.64% ROE, indicating strong profitability and efficient capital use, leading to gradual accumulation despite its high PER and PBR in anticipation of continued cybersecurity sector growth. This systematic accumulation strategy, hedging against current valuation, provides a practical lesson for retail investors. It suggests adopting a dollar-cost averaging approach to build positions in quality growth companies, mitigating the impact of short-term price fluctuations and higher entry valuations.

weight 0.530% → 0.550% (+0.020 pp)·stock up 8.1% in the 30 days before

May 4·entry $89.24·now $160.36Chased

LQAI · Accumulation · 3d

The AI likely favors Fortinet's exceptional 123.64% ROE and growth prospects in the cybersecurity sector, gradually accumulating shares to manage risk associated with its high PER/PBR valuation or to optimize entry prices. This strategy suggests retail investors should prioritize strong profitability metrics like ROE, even in high-valuation growth stocks, and consider a dollar-cost averaging approach to build positions prudently over time.

weight 0.530% → 0.540% (+0.010 pp)·stock up 6.3% in the 30 days before

May 1·entry $86.29·now $160.36Chased