QRFT0.120%
as of Jul 8
TER
GrowthTERADYNE INC
Teradyne, Inc. engages in the design, development, manufacture, and sale of automated test systems and robotics products in the United States, Asia Pacific, Europe, the Middle East, and Africa. The company operates through Semiconductor Test, Robotics, and Other segments. The Semiconductor Test segment offers products and services for wafer level and device package testing, and system level testing of semiconductor devices in automotive, industrial, communications, consumer, smartphones, cloud, computer and electronic game, and other applications.
Close · 3M
+12.59%
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 signals14
Win rate14% (2/14)
Avg buy return-13.39%
QRFT · Weight decrease · 2d
TER’s PER of 67.03 and PBR of 10.84 stand in contrast to its 30.32% Revenue Growth and 29.72% ROE. For Qraft Technologies’ QRFT, these metrics present a nuanced picture where significant growth and profitability meet a elevated valuation, challenging its AI-driven blend of traditional factors like value, momentum, and quality within its broad large-cap core style. Following a period where TER delivered a 1-year return of +327.7% and a 30-day return of +7.2%, pushing its price to $369.09 (which is 76% of its 52-week high), QRFT began a consecutive weight decrease. This adjustment saw TER’s allocation decline from 0.1700% on July 1st to 0.1500% and further to 0.1300% on July 2nd. Given Qraft AI's methodology, this specific movement suggests the system is balancing the stock's strong momentum and quality attributes against its high valuation, potentially signaling a re-weighting as the stock approaches prior peaks, informed by its proprietary alternative-data overlays.
weight 0.170% → 0.130% (-0.040 pp)·stock down 6.0% in the 30 days before
Jul 2·entry $369.09·now $333.76
-9.57%
since Jul 2
+5.81%
since Apr 6
AIEQ · Weight decrease · 2d
The significant decrease in TER’s weight within AIEQ’s portfolio directly reflects the fund’s high-turnover, daily rebalancing approach. Driven by IBM Watson NLP ingesting real-time news and social posts, the fund’s algorithm swiftly processes shifts in sentiment or emerging fundamental signals for a stock like TER, which posted a +327.7% 1-year return. This rapid adjustment, typical for a fund holding 140-180 US stocks, suggests a prompt re-evaluation of the company's prospects. Despite TER’s revenue growth of 30.32%, the system likely identified new inputs that led to a tactical reduction, aligning with its broad market, fundamentals + sentiment hybrid style.
weight 0.430% → 0.110% (-0.320 pp)·stock down 6.0% in the 30 days before
Jul 3·entry $379.52·now $333.76
-12.06%
since Jul 3
AIEQ · Weight increase · 2d
Teradyne's financial summary, featuring a 30.32% revenue growth and 29.72% return on equity, presents a compelling fundamental profile for AIEQ, aligning with its "fundamentals + sentiment hybrid" style despite the P/E of 77.84 and P/B of 10.84. Amplify ETFs' IBM Watson NLP engine, which processes vast data daily, likely identified escalating positive sentiment and fundamental strength for TER, prompting the consecutive weight increases to 0.40% and then 0.44% on June 25th and 26th. This move occurred while TER traded near its 52-week high at $436.86, following a 30-day return of 22.5%, demonstrating AIEQ's characteristic high turnover and daily rebalancing based on fresh inputs, even for stocks with significant recent appreciation.
weight 0.390% → 0.440% (+0.050 pp)·stock up 16.2% in the 30 days before
Jun 26·entry $436.86·now $333.76Fresh
-23.60%
since Jun 26
AIEQ · Weight increase · 2d
TER's financial summary, showing a 30.32% Revenue Growth and 29.72% Return on Equity, provides a strong fundamental basis for AIEQ's broad market, fundamentals + sentiment hybrid style to consider the stock. Despite a P/E ratio of 69.22 and P/B of 10.84, these metrics, combined with its Information Technology sector, suggest a growth-driven company. The consecutive weight increases in AIEQ, observed on June 12 and June 14, occurred while TER was trading at $403.20, approximately 96% of its 52-week high of $418.08, following a 407.2% return over the prior year. This action reflects the daily rebalancing nature of AIEQ, where IBM Watson's NLP system likely detected strengthening positive sentiment or fresh fundamental signals, leading EquBot's risk overlay to increase its position in TER even at an elevated price level.
weight 0.330% → 0.370% (+0.040 pp)·stock up 11.0% in the 30 days before
Jun 14·entry $432.41·now $333.76Fresh
-22.81%
since Jun 14
AIEQ · Weight decrease · 2d
The recent two-day weight decrease for Teradyne, from 0.35% to 0.33% on June 10th and 11th, represents a measured, gradual reduction in exposure rather than a sharp divestment. This minor scaling back by AIEQ is consistent with its daily rebalancing approach, where EquBot's risk overlay likely responds to the stock's significant price appreciation, now at $381.40 and 91% of its 52-week high. Despite Teradyne’s 30.32% revenue growth and 29.72% return on equity, the IBM Watson NLP system, which processes vast amounts of market sentiment, may have registered a subtle shift or increased caution around a stock that has posted a 385.2% one-year return. Such a slight recalibration helps manage risk within AIEQ's broad market, fundamentals and sentiment hybrid strategy as positions near previous peaks. This measured adjustment aligns with the fund’s high-turnover nature, continuously adapting to new information inputs.
weight 0.350% → 0.330% (-0.020 pp)·stock up 6.4% in the 30 days before
Jun 11·entry $381.40·now $333.76
-12.49%
since Jun 11
AIEQ · Weight increase · 2d
weight 0.340% → 0.370% (+0.030 pp)·stock up 13.9% in the 30 days before
Jun 4·entry $406.86·now $333.76Fresh
-17.97%
since Jun 4
AIEQ · Weight decrease · 2d
AIEQ’s daily rebalancing capability, informed by IBM Watson NLP processing a vast array of textual data, suggests the system detected a sustained, negative shift in its assessment of TERADYNE INC. The consecutive weight decrease from 0.2900% to 0.2500% over a week indicates a persistent signal that TER's attractiveness diminished relative to other equities within the fund's 140-180 stock portfolio. While TER boasts a 30.32% revenue growth and a significant 1-year return of +349.5%, its elevated PER of 61.93 might have become a point of increasing concern for the AI’s model as market sentiment or comparable opportunities shifted. This specific action at $337.88, currently at 81% of its 52-week high, implies the AI's complex sentiment and fundamental analysis models are adjusting to either a softening outlook or simply better relative value found elsewhere.
weight 0.270% → 0.250% (-0.020 pp)·stock down 7.7% in the 30 days before
May 17·entry $321.05·now $333.76
+3.96%
since May 17
AIEQ · Weight increase · 2d
The AI-managed ETF likely initiated consecutive weight increases in TER, despite its high PER and PBR, due to strong underlying fundamentals like 13.13% revenue growth and an excellent 19.88% Return on Equity. The algorithm appears to prioritize these efficiency and growth metrics, anticipating future expansion to justify the current valuation. For retail investors, this highlights that AI funds can identify and bet on strong growth potential even in highly valued companies. It is crucial for individual investors to understand their own risk tolerance and consider the balance between growth opportunity and valuation before following such concentrated bets.
weight 0.260% → 0.290% (+0.030 pp)·stock down 1.2% in the 30 days before
May 7·entry $354.11·now $333.76Fresh
-5.75%
since May 7
-2.83%
since Apr 30
+8.95%
since Apr 29
AMOM · Weight increase · 2d
weight 0.010% → 0.090% (+0.080 pp)·stock up 21.4% in the 30 days before
Jun 3·entry $409.67·now $333.76Fresh
-18.53%
since Jun 3
+8.95%
since Apr 29
-12.20%
since Apr 28
-6.85%
since Apr 8
+7.80%
since Apr 2
AMOM · Weight increase · 2d
stock up 2.6% in the 30 days before
Apr 1·entry $312.20·now $333.76Drifting
+6.91%
since Apr 1
PQUS · Exit · 1d
Pictet Asset Management's PQUS, guided by its AI ranking system for US large-cap stocks, removed TER from its ~165 US large-cap portfolio during a periodic rebalance. The systematic evaluation likely flagged the Information Technology company following its recent 30-day return of -21.3%, signaling a shift in its attractiveness within the fund's criteria. This move aligns with PQUS's stated style of US large-cap exposure with measured turnover, indicating TER no longer met the AI's re-assessment for continued inclusion. The AI's methodology, factoring in sector balance and concentration rules, likely deemed TER's profile less compelling given its recent performance trajectory.
weight 0.040% → 0 (exited)·stock down 21.3% in the 30 days before
Jul 17·entry $322.36·now $333.76
+3.54%
since Jul 17
PQUS · Weight decrease · 2d
Pictet Asset Management's PQUS ETF, leveraging its AI ranking system for US large-cap stocks, initiated a measured decrease in its Teradyne Inc. allocation. Given the fund's periodic rebalancing schedule for its approximately 165 holdings, the observed weight reduction from 0.1500% to 0.0400% over two days reflects a re-evaluation of the stock’s positioning. The AI likely identified a revised risk-reward profile, potentially influenced by Teradyne’s significant +298.4% one-year return alongside its current PER of 66.14, compared to other opportunities within the US large-cap universe. This adjustment aligns with the fund's strategy of managing concentration across its portfolio.
weight 0.150% → 0.040% (-0.110 pp)·stock down 2.6% in the 30 days before
Jul 10·entry $359.60·now $333.76
-7.19%
since Jul 10
PQUS · Weight increase · 2d
With a Revenue Growth of 30.32% and ROE of 29.72%, even alongside a PER of 77.84 and PBR of 10.84, TERADYNE INC presents as a high-growth U.S. large-cap constituent that Pictet Asset Management's AI ranking system for PQUS likely identified based on underlying fundamental strength. Despite the stock's current price of $436.86, near 93% of its 52-week high, and a +425.8% return over the past year, the AI system for this newer fund adjusted its allocation within its measured turnover style. PQUS notably made consecutive increases to its TER weight, moving from 0.1700% on June 25th to 0.1800% on June 26th, and further to 0.2000% on June 27th, indicating the AI's re-evaluation of its attractiveness within the portfolio's sector-balance and concentration rules.
weight 0.170% → 0.200% (+0.030 pp)·stock up 16.2% in the 30 days before
Jun 27·entry $463.21·now $333.76Fresh
-27.95%
since Jun 27
PQUS · Weight increase · 2d
TERADYNE's financial metrics, including a 30.32% revenue growth and 29.72% ROE, likely positioned it favorably within Pictet Asset Management's AI ranking system for the PQUS ETF, despite a PER of 69.22 and PBR of 10.84. The consecutive weight adjustments on June 13th and 14th, 2026, moving from 0.15% to 0.16% and then 0.17%, occurred as TER's price neared its 52-week high of $418.08, following a 16.7% gain over 30 days. This upward revision in allocation suggests the AI system, operating a US large-cap fund with measured turnover and periodic rebalances, registered continued positive signals from TER's significant price momentum, which included a 407.2% one-year return, without triggering concentration limits for the roughly 165-stock portfolio.
weight 0.150% → 0.170% (+0.020 pp)·stock up 11.0% in the 30 days before
Jun 14·entry $432.41·now $333.76Fresh
-22.81%
since Jun 14
PQUS · Weight increase · 2d
The Pictet Asset Management AI ranking system, which manages a US large-cap universe with sector-balance and concentration rules, drove the consecutive weight increase in TER during its periodic rebalance window. Moving from 0.1300% to 0.1500% between May 21 and May 23, 2026, the adjustment reflects the model's positive assessment of TER's strong underlying business. Specifically, the company’s 30.32% revenue growth and 29.72% return on equity likely scored highly within the AI's parameters. While TER carries a PER of 64.78, the AI's algorithm appears to have weighted the company’s growth and profitability as more significant factors during this rebalance. A recent 30-day price decline of 3.2%, following a substantial 333.1% gain over one year, might have provided a measured entry point for this allocation adjustment within the fund's approximately 165 holdings.
weight 0.130% → 0.150% (+0.020 pp)·stock down 10.6% in the 30 days before
May 23·entry $389.14·now $333.76Fresh
-14.23%
since May 23
PQUS · Weight decrease · 2d
TER is currently priced at $337.88, positioned at 81% of its 52-week high after a significant 349.5% return over the past year and a 51.9% gain in 90 days. This rapid price appreciation, along with a PER of 61.93 and PBR of 10.84, likely prompted Pictet Asset Management's AI ranking system to adjust its allocation for PQUS. The newer fund, launched in 2025, employs an AI system with sector-balance and concentration rules for its US large-cap universe, enacting consecutive weight decreases on TER from 0.3100% to 0.1400%. These reductions, occurring during periodic rebalances, suggest the AI identified alternative opportunities or a reevaluation of TER's valuation relative to its 30.32% revenue growth and 29.72% ROE within the fund's specific parameters. The AI model's assessment of future prospects after such a price surge, within the fund's measured turnover style, directly led to the systematic divestment.
weight 0.220% → 0.140% (-0.080 pp)·stock down 7.7% in the 30 days before
May 17·entry $321.05·now $333.76
+3.96%
since May 17
PQUS · Weight increase · 2d
The AI likely increased TER's weight consecutively due to its robust profitability and solid revenue growth, which it interprets as strong indicators of future performance, justifying the higher valuation multiples. This suggests retail investors should recognize that AI-driven ETFs can identify and act on strong underlying business fundamentals, even when traditional metrics like PER appear high, emphasizing the importance of forward-looking growth.
weight 0.300% → 0.330% (+0.030 pp)·stock down 1.2% in the 30 days before
May 8·entry $359.77·now $333.76Fresh
-7.23%
since May 8
-2.83%
since Apr 30
+8.95%
since Apr 29
LQAI · Exit · 1d
TER, priced at $343.11, currently sits at 71% of its 52-week high, having achieved a 1-year return of 279.6% but experiencing a -4.3% decline over the past 30 days. This recent price softening, following a period of significant long-term growth, likely prompted a reassessment within the Qraft AI’s weekly ranking system. For LQAI, which maintains a core large-cap portfolio and rebalances weekly without heavy factor tilts, the AI’s model likely considered TER's current trajectory alongside its valuation—including a PER of 67.03 and PBR of 10.84, despite revenue growth of 30.32% and an ROE of 29.72%. The recorded reduction in weight from 0.1400% to 0.1100% over several days, culminating in its complete removal from the portfolio on 2026-07-07, indicates the AI's dynamic response to evolving market signals as it selects names for its balanced large-cap allocation. This move aligns with the AI identifying a shift where TER no longer met its criteria for inclusion among its approximately 100 US large-cap holdings.
weight 0.110% → 0 (exited)·stock down 15.7% in the 30 days before
Jul 7·entry $343.11·now $333.76
-2.73%
since Jul 7
LQAI · Weight decrease · 2d
TERADYNE INC presents a PER of 67.03 and PBR of 10.84, alongside revenue growth of 30.32% and a ROE of 29.72%, figures the Qraft AI selection engine likely assesses within LQAI's US large-cap core universe. While LQAI’s AI-driven methodology allows for names with strong growth and profitability, the valuation multiples indicate the system may be weighing the stock's current price against its fundamentals. This analysis likely prompted the observed consecutive weight decrease in TER from 0.14% on June 30th to 0.11% by July 2nd. The adjustment occurred with TER trading at $369.09, which is approximately 76% of its 52-week high, suggesting the AI is recalibrating its allocation after the stock's significant 1-year return of 327.7%, even as it has pulled back from its peak.
weight 0.140% → 0.110% (-0.030 pp)·stock down 6.0% in the 30 days before
Jul 2·entry $369.09·now $333.76
-9.57%
since Jul 2
LQAI · Weight increase · 2d
TERADYNE INC is currently trading at its 52-week high of $432.41, having recorded a +430.9% return over the past year and a +28.1% gain in the last 30 days. This significant price appreciation likely triggered signals within LQAI's Qraft AI ranking engine, which continuously screens a US large-cap core universe for weekly rebalancing. Despite the company's PER of 69.22 and PBR of 10.84, the AI algorithm identified specific quantitative factors in TERADYNE INC's financials, including its 30.32% revenue growth and 29.72% return on equity. Consequently, LQAI moved from zero allocation to initiating a 0.1100% position on June 9th, subsequently increasing its weighting to 0.1300% by June 15th, reflecting its AI-driven selection process that balances core large-cap attributes with detected momentum and fundamental strength, as positioned between QRFT and AMOM.
weight 0.110% → 0.130% (+0.020 pp)·stock up 21.3% in the 30 days before
Jun 15·entry $432.41·now $333.76Fresh
-22.81%
since Jun 15
LQAI · New entry · 1d
weight 0 → 0.110% (new)·stock up 2.6% in the 30 days before
Jun 9·entry $369.21·now $333.76Fresh
-9.60%
since Jun 9
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 Jun 14
Several AI ETFs are actively holding Teradyne, with some showing weight increase trends and one even initiating a new entry. This signals a positive outlook or momentum-driven strategy from the AI funds. However, the value-investing framework concludes that the company is "Too Hard" to analyze due to unpredictable long-term cash flows, directly contrasting with the AI's current investment activities.
- Circle of CompetenceThe cyclical and rapidly evolving nature of the semiconductor and industrial automation industries makes projecting ten-year cash flows with reasonable certainty genuinely difficult.
- Economic MoatEvaluation of an economic moat is not applicable as the company falls outside the circle of competence for long-term predictability.
- ManagementAssessment of management's qualities is not applicable as the company falls outside the circle of competence for long-term predictability.
- Financial HealthAnalysis of financial health is not applicable as the company falls outside the circle of competence for long-term predictability.
- Margin of SafetyDetermination of margin of safety is not applicable as the company falls outside the circle of competence for long-term predictability.
Teradyne operates in technologically dynamic and cyclical industries, which prevents the reasonable projection of ten-year cash flows required by the circle of competence criterion. Consequently, the framework deems the company "Too Hard" to analyze, making further assessment of its economic moat, management, financial health, or margin of safety unreliable. This approach diverges from the AI ETFs, which are actively investing in the company.
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.