AIEQ1.350%
as of Jul 20
TMUS
GrowthT-MOBILE US INC
T-Mobile US, Inc., together with its subsidiaries, provides wireless communications services in the United States, Puerto Rico, and the United States Virgin Islands. The company offers voice, messaging, and data services to postpaid, prepaid, and wholesale and other services customers. It also provides wireless devices, including smartphones, wearables, tablets, home broadband gateways, headsets, and other mobile communication devices, as well as accessories; financing through equipment installment plans; reinsurance for device insurance policies and extended warranty contracts.
Close · 3M
-10.05%
Held by 2 AI ETFs
PQUS0.550%
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.
Buy signals11
Win rate64% (7/11)
Avg buy return+1.56%
AIEQ · Weight increase · 2d
The weight changes for T-Mobile US within AIEQ reveal a pattern of modest, stepped increases, including consecutive adjustments on July 17th and 19th, aligning with the fund's daily rebalancing and high-turnover design. This gradual accumulation suggests IBM Watson NLP is likely detecting consistent positive signals across news, filings, and social posts for TMUS. At a current price of $192.43, 74% below its 52-week high but with an 8.7% 30-day return, the stock presents a compelling scenario for AIEQ’s hybrid fundamentals and sentiment strategy. The underlying 9.48% revenue growth and 17.82% ROE provide a foundational anchor for this AI-driven interest, particularly as the system gauges a potential recovery after a year of price decline.
weight 1.300% → 1.350% (+0.050 pp)·stock up 4.4% in the 30 days before
Jul 19·entry $195.64·now $195.64Fresh
0.00%
since Jul 19
AIEQ · Weight increase · 2d
The daily ranking output from AIEQ's IBM Watson NLP engine, which processes a vast array of textual data, clearly signaled an increasing positive sentiment for T-Mobile US, Inc., leading to its consecutive weight increases within the fund's 140-180 stock portfolio. Given AIEQ's high-turnover daily rebalance cadence, this sustained upward adjustment from 0.4600% to 1.2900% in a week indicates a consistent and growing conviction in the stock. This AI-managed fund likely identified TMUS as a compelling opportunity after its 22.0% one-year return decline, seeing value at its current price near 70% of its 52-week high. The combined analysis of fundamentals, such as 9.48% revenue growth, and sentiment, central to AIEQ's hybrid style, suggests the system perceived an emerging positive narrative despite recent price weakness.
weight 1.250% → 1.290% (+0.040 pp)·stock up 1.1% in the 30 days before
Jul 8·entry $180.14·now $195.64Drifting
+8.60%
since Jul 8
AIEQ · Weight increase · 2d
The fund's weighting in T-MOBILE US INC moved from a stable period near 0.49% to a swift, multi-day increase, more than doubling to 1.18% and then 1.25%, indicating a powerful shift in the daily rankings derived by IBM Watson NLP from its diverse data ingestion. This stepped accumulation occurred as TMUS traded at $177.52, near the lower end of its 52-week range and after substantial declines over the prior 30, 90, and 1-year periods, yet it holds a 9.48% revenue growth and 17.82% ROE. Given Amplify ETFs' high-turnover, daily rebalancing approach, the algorithm likely detected a material positive signal from news, analyst notes, or social posts that suggested the depressed share price ($177.52, 69% of 52w high) presented a compelling buying opportunity. The rapid, pronounced increase in allocation to TMUS, a company with solid underlying financial metrics and a deeply discounted share price, points to a clear directive from EquBot’s risk overlay, reacting decisively to newly processed information.
weight 0.460% → 1.250% (+0.790 pp)·stock down 6.0% in the 30 days before
Jul 3·entry $181.79·now $195.64Drifting
+7.62%
since Jul 3
AIEQ · Sudden change · 1d
AIEQ's daily rebalancing protocol, driven by IBM Watson NLP's extensive analysis of textual data from thousands of US equities, facilitated a swift and substantial increase in its TMUS position. The fund's hybrid style, integrating fundamental metrics with sentiment, likely detected an emerging positive shift for the Communication Services company. With TMUS trading at 67% of its 52-week high, Watson's engine likely identified that recent price declines created an attractive entry point, signaling a potential reversal in market perception. This significant adjustment from 0.46% to 1.18% reflects a high-conviction signal translated into immediate action for one of the 140-180 holdings within AIEQ's portfolio.
weight 0.460% → 1.180% (+0.720 pp)·stock down 7.3% in the 30 days before
Jul 1·entry $173.06·now $195.64
+13.05%
since Jul 1
AIEQ · Weight decrease · 2d
With a P/E of 19.33, P/B of 3.84, revenue growth of 9.48%, and an ROE of 17.82%, TMUS presents a fundamental profile that would typically align with AIEQ's broad market selection criteria, which considers both fundamentals and sentiment. However, the consecutive weight decrease for TMUS on June 16 and June 17, occurring while the stock trades at $181.31—near its 52-week low of $177.02 and following 30-day returns of -6.1%—indicates that the fund's IBM Watson NLP system likely registered a significant deterioration in sentiment or perceived outlook. Given AIEQ's methodology of ingesting vast unstructured data daily and its high-turnover, daily rebalancing schedule, even subtle negative shifts detected in news, filings, transcripts, or social posts across the Communication Services sector likely triggered the reduction, overriding the historical financial metrics. This movement underscores how AIEQ's "fundamentals + sentiment hybrid" style can lead to rapid adjustments in response to real-time market perception, particularly for a stock experiencing sustained negative price momentum. The system's prompt reaction to a stock already at 70% of its 52-week high suggests a lack of positive catalysts or emerging negative trends that the NLP engine prioritized.
weight 0.500% → 0.480% (-0.020 pp)·stock down 4.9% in the 30 days before
Jun 17·entry $181.31·now $195.64
+7.90%
since Jun 17
AIEQ · Weight increase · 2d
TMUS currently displays a P/E of 19.33, P/B of 3.84, revenue growth of 9.48%, and a ROE of 17.82%. These fundamental metrics are consistent with AIEQ's stated style, which incorporates a fundamentals-driven assessment within its broad market, sentiment-hybrid strategy. The specific consecutive weight increase in TMUS from 0.47% on June 9th to 0.50% on June 11th, 2026, coincided with the stock trading at $185.82, approximately 72% of its 52-week high, following 30-day, 90-day, and 1-year negative returns. This increase suggests that IBM Watson NLP, which powers AIEQ's daily stock rankings, identified a positive shift in its analysis of TMUS across news, filings, and social posts. EquBot's risk overlay, managing AIEQ's highly active daily rebalancing, translated these accumulating positive signals into a growing allocation, likely capitalizing on what the AI perceived as an improving outlook for the stock at a reduced price level.
weight 0.470% → 0.500% (+0.030 pp)·stock down 3.9% in the 30 days before
Jun 11·entry $185.82·now $195.64Drifting
+5.28%
since Jun 11
AIEQ · Weight decrease · 2d
weight 0.490% → 0.460% (-0.030 pp)·stock down 7.8% in the 30 days before
Jun 5·entry $178.10·now $195.64
+9.85%
since Jun 5
AIEQ · Weight increase · 2d
The detected pattern for T-MOBILE US INC reveals a distinct consecutive weight increase in AIEQ, moving from 0.47% to 0.50% over two trading days after several days of stability and slight prior reductions. This upward shift commenced while TMUS traded around $190.16, a price point near its 52-week low and following a considerable 21.9% decline over the past year. Such a precise, stepped increase, powered by IBM Watson NLP ingesting diverse data like news and social posts, suggests a material shift in perceived sentiment or fundamentals for the Communication Services firm. Given AIEQ's daily rebalancing and high-turnover nature, the fund’s risk overlay likely detected new positive signals outweighing prior concerns, prompting this swift re-allocation at a valuation reflecting a 19.5 PER and 17.82% ROE. This action highlights AIEQ's agility in adjusting to evolving market insights for specific stocks, rather than a general market trend, particularly when a stock trades 73% below its 52-week high.
weight 0.470% → 0.500% (+0.030 pp)·stock down 2.7% in the 30 days before
May 20·entry $190.16·now $195.64Drifting
+2.88%
since May 20
AIEQ · Weight decrease · 2d
The AI ETF is likely reducing its TMUS exposure due to the detection of subtle, emerging negative signals or a shift in its risk-reward assessment, possibly reflecting evolving competitive pressures or unfavorable technical indicators not immediately apparent in the provided strong financial summary. For retail investors, this signifies the importance of continuous monitoring beyond basic fundamental metrics, suggesting a deeper dive into market sentiment, industry developments, or technical analysis to identify nuanced shifts in a stock's outlook.
weight 0.510% → 0.490% (-0.020 pp)·stock down 1.7% in the 30 days before
May 7·entry $194.20·now $195.64
+0.74%
since May 7
AIEQ · Accumulation · 3d
The AI ETF likely pursued gradual accumulation in TMUS due to its robust ROE and revenue growth, signaling a quality growth stock with attractive underlying fundamentals, while allowing it to manage market impact and continuously validate its thesis. This methodical approach culminated in a more significant allocation once the AI's conviction was solidified. For retail investors, this highlights the benefit of patiently building positions in fundamentally strong companies over time, rather than making large single entries, to mitigate risk and allow for dollar-cost averaging.
weight 0.150% → 0.510% (+0.360 pp)·stock down 4.0% in the 30 days before
May 3·entry $194.42·now $195.64Fresh
+0.63%
since May 3
AIEQ · Weight increase · 2d
The AI likely initiated consecutive weight increases for TMUS based on its robust financials, particularly its strong 8.49% revenue growth and excellent 18.18% return on equity. For retail investors, this underscores the importance of focusing on companies demonstrating consistent growth and high capital efficiency, which can signal underlying business strength even in mature industries.
weight 0.140% → 0.160% (+0.020 pp)·stock down 6.9% in the 30 days before
Apr 30·entry $195.50·now $195.64Fresh
+0.07%
since Apr 30
PQUS · Weight increase · 2d
Currently trading at $192.43, TMUS sits at 74% of its 52-week high, having delivered an 8.7% return over the past 30 days despite 90-day and 1-year returns of -12.0% and -19.0%, respectively. This recent positive momentum, occurring within a longer period of price depreciation, likely prompted PQUS's AI ranking system to identify TMUS as an increasingly attractive holding. The AI’s algorithm probably factored in the company’s PER of 19.75 and PBR of 3.84, coupled with a 9.48% revenue growth and 17.82% ROE, concluding that the stock offered value given its price level. Consequently, the fund executed consecutive weight increases to 0.54% and then 0.55% on July 18 and 19, 2026, reflecting a directed adjustment by the AI within its periodic rebalance and measured turnover strategy for this US large-cap.
weight 0.520% → 0.550% (+0.030 pp)·stock up 4.4% in the 30 days before
Jul 19·entry $195.64·now $195.64Fresh
0.00%
since Jul 19
PQUS · Weight increase · 2d
Pictet Asset Management's AI ranking system, which guides the PQUS fund's US large-cap universe with periodic rebalances, likely identified TMUS as a compelling opportunity. Despite the stock’s 22.0% decline over the past year, its underlying financial health, exemplified by a 17.82% ROE, likely maintained its appeal to the algorithm. The fund’s established methodology, encompassing sector-balance and concentration rules across its approximately 165 holdings, allowed for the gradual weight increase from 0.47% to 0.52% between July 2nd and July 9th. This measured adjustment within the fund’s rebalancing cadence aligns with its strategy of seeking value within its universe. The increase suggests the AI system has a calculated view on the stock at its current price level.
weight 0.500% → 0.520% (+0.020 pp)·stock up 1.7% in the 30 days before
Jul 9·entry $181.48·now $195.64Drifting
+7.80%
since Jul 9
PQUS · Weight decrease · 2d
The weight in PQUS for T-Mobile US exhibited a distinct stepped reduction from 0.54% to 0.47% over July 1st and 2nd, following a period of stability at the higher level. This pattern suggests a deliberate rebalancing action by Pictet Asset Management's AI system, which typically rebalances periodically rather than daily across its portfolio of approximately 165 US large caps. Given T-Mobile US's significant price depreciation, registering a 30-day return of -10.5% and now trading near its 52-week low at $173.06, the AI's ranking system likely flagged it for reduced allocation. Despite a 9.48% revenue growth and 17.82% ROE, the sustained price decline probably lowered its comparative score against other US large-cap stocks, prompting the fund to decrease its exposure with measured turnover, adhering to its style while maintaining sector-balance.
weight 0.540% → 0.470% (-0.070 pp)·stock down 6.0% in the 30 days before
Jul 2·entry $177.52·now $195.64
+10.21%
since Jul 2
PQUS · Weight decrease · 2d
Trading at $181.31, TMUS currently resides at 70% of its 52-week high, following a substantial -26.0% decline over the past year and recent decreases of -6.1% in 30 days. This prolonged price weakness and the stock's position near its 52-week low of $177.02 likely influenced Pictet Asset Management's AI ranking system, which evaluates US large-cap companies for PQUS. Despite TMUS’s 17.82% ROE and 9.48% revenue growth, the consecutive weight decreases from 0.52% to 0.51% on June 17th and 18th indicate the AI identified a more favorable allocation elsewhere, adhering to the fund’s sector-balance and concentration rules during its periodic rebalance. For this newer fund, launched in 2025 with a measured turnover style, a sustained negative price trajectory over various periods superseded the company's financial metrics in the immediate re-ranking, prompting the gradual reduction within the ~165-stock portfolio.
weight 0.530% → 0.510% (-0.020 pp)·stock down 6.1% in the 30 days before
Jun 18·entry $181.67·now $195.64
+7.69%
since Jun 18
PQUS · Sudden change · 1d
The sudden, stepped increase in TMUS's weight from 0.2100% to 0.5300% on June 12th aligns with PQUS’s rebalancing schedule, which is periodic, not daily, and its style of measured turnover. This substantial reallocation by the AI ranking system followed significant price depreciation for TMUS, with a 30-day return of -5.0% and a one-year return of -23.3%, bringing its current price of $185.82 close to the lower end of its 52-week range. The AI manager, operating within its US large-cap universe with sector-balance and concentration rules, likely assessed the company's 9.48% revenue growth and 17.82% return on equity as favorable against the backdrop of its discounted share price. Such a move indicates the algorithm identified a value proposition in the Communication Services sector during a scheduled portfolio adjustment, elevating TMUS's position within the fund.
weight 0.210% → 0.530% (+0.320 pp)·stock down 0.6% in the 30 days before
Jun 12·entry $189.10·now $195.64
+3.46%
since Jun 12
LQAI · Exit · 1d
The AI fund likely removed TMUS because its valuation multiples (PER 19.57, PBR 3.84) were deemed excessive relative to its future growth prospects or compared to alternative investments, triggering a complete divestment despite its solid ROE. This highlights how AI prioritizes objective quantitative signals like valuation and risk, prompting retail investors to regularly re-evaluate their own portfolios for overvalued holdings or missed opportunities without emotional bias.
weight 0.120% → 0 (exited)·stock up 0.5% in the 30 days before
May 12·entry $193.30·now $195.64
+1.21%
since May 12
QRFT · Exit · 1d
The AI ETF likely removed TMUS due to a sudden, event-driven trigger rather than a slow deterioration of its generally healthy financial metrics. The abrupt transition from a consistent portfolio weight to zero suggests the AI reacted to a specific rule violation, such as an adverse news event or a significant shift in its internal risk models. For retail investors, this illustrates that AI funds can execute rapid, absolute exits based on factors that may not be immediately obvious from a fundamental snapshot, highlighting the importance of real-time information and predefined exit strategies.
weight 0.480% → 0 (exited)·stock down 3.5% in the 30 days before
May 4·entry $194.42·now $195.64
+0.63%
since May 4
+7.05%
since Apr 27
+3.56%
since Apr 22
-0.75%
since Apr 16
-0.96%
since Apr 9
-4.22%
since Apr 1
-8.55%
since Mar 30
QRFT · Weight increase · 2d
stock down 1.1% in the 30 days before
Mar 27·entry $210.82·now $195.64Fresh
-7.20%
since Mar 27
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
Fails the frameworkas of Jul 19
AI ETFs AIEQ and PQUS are showing a weight increase trend in T-Mobile, indicating a positive outlook or increased conviction. This directly contrasts with the 'Fail' verdict from this framework, which highlights concerns about financial transparency, potential leverage, and the lack of a sufficient margin of safety based on available data.
- Circle of CompetenceThe wireless telecommunications industry, with its stable demand for connectivity and T-Mobile's established market position, allows for reasonable long-term cash flow projections.
- Economic MoatT-Mobile benefits from a durable competitive advantage derived from its vast network infrastructure, scarce spectrum holdings, scale, and moderate customer switching costs.
- ManagementInsufficient data is provided to adequately assess management's candor, capital allocation discipline, or 'skin in the game'.
- Financial HealthThe provided financials are insufficient to assess a 10-year average ROE, operating margins, or owner earnings, while the high EV/EBITDA ratio suggests potential leverage that cannot be fully evaluated.
- Margin of SafetyThe current valuation multiples (PER 19.75, EV/EBITDA 18.91) do not indicate a defensible discount to intrinsic value, therefore failing to meet the margin of safety criterion.
T-Mobile operates in a predictable industry with strong competitive advantages, passing the initial stages of the framework. However, a comprehensive assessment of its financial health is hindered by insufficient data, preventing a clear understanding of its long-term financial stability and capital structure. Furthermore, the current valuation does not appear to offer a margin of safety, leading to an overall 'Fail' verdict within this investment framework.
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.