AIEQ2.700%
as of Jul 20
UBER
DefensiveUBER TECHNOLOGIES INC.
Uber Technologies, Inc. develops and operates proprietary technology applications in the United States, Canada, Latin America, Europe, the Middle East, Africa, and the Asia Pacific. The company operates through three segments: Mobility, Delivery, and Freight. The Mobility segment connects consumers with a range of transportation modalities, such as ridesharing, carsharing, micromobility, rentals, public transit, taxis, and other modalities; and offers riders in a variety of vehicle types, as well as financial partnerships products and advertising services.
Close · 3M
-2.26%
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 signals11
Win rate27% (3/11)
Avg buy return-0.68%
AIEQ · Weight increase · 2d
The detected pattern in UBER's weight within AIEQ demonstrates a cadence of small, incremental increases, such as from 2.74% to 2.76% across multiple days, rather than a single large adjustment. This stepped progression aligns with AIEQ's daily rebalancing mechanism, where EquBot's risk overlay translates IBM Watson's NLP rankings into granular portfolio adjustments. Such consistent, albeit modest, buying activity for UBER at its current price of $72.46, trading at 72% of its 52-week high after a 25.1% drop over the last year, suggests the NLP engine may be identifying a positive shift in market sentiment or underlying company signals. AIEQ's hybrid investment style, which blends fundamental insights with sentiment analysis, likely finds appeal in UBER's 18.31% revenue growth and 33.32% ROE, particularly if the system perceives these fundamentals as undervalued given the recent price performance.
weight 2.660% → 2.730% (+0.070 pp)·stock down 1.1% in the 30 days before
Jul 17·entry $72.46·now $72.17Fresh
-0.40%
since Jul 17
AIEQ · Weight increase · 2d
Following minor daily shifts in late June, AIEQ’s portfolio rebalance on July 1st saw a significant allocation to UBER, increasing its weight from 0.94% to 2.63% while the stock traded at $74.43, well below its 52-week high. This decisive adjustment, characteristic of the fund’s high-turnover, daily rebalancing mechanism, points to IBM Watson’s NLP ingesting fresh sentiment or fundamental signals, perhaps from analyst notes or social posts. Such input, combined with UBER’s 18.31% revenue growth and 33.32% ROE, likely prompted the AI’s risk overlay to recognize a compelling buying opportunity for a stock showing a 1-year return of -11.2% and trading at 74% of its 52-week high, with the position further edged up to 2.78% on July 3rd.
weight 0.940% → 2.780% (+1.840 pp)·stock up 3.9% in the 30 days before
Jul 3·entry $72.42·now $72.17Fresh
-0.35%
since Jul 3
AIEQ · Sudden change · 1d
UBER Technologies Inc. currently trades at $72.66, settling at 73% of its 52-week high and near the lower bound of its annual range after a 30-day return of -1.9% and a 1-year return of -12.9%. This valuation point, coupled with UBER's 18.31% revenue growth and 33.32% ROE, likely presented a compelling opportunity for AIEQ's IBM Watson NLP system, which integrates both fundamental and sentiment signals. The algorithm, ingesting daily news, filings, and social posts across thousands of US equities, appears to have detected a shift in UBER's outlook or market sentiment, identifying the stock as undervalued relative to its financial performance. Given AIEQ's daily rebalancing and high-turnover strategy, this signal quickly translated into a substantial portfolio adjustment, increasing UBER's weight from 0.9400% to 2.6300% on July 1, 2026, to capitalize on the perceived opportunity.
weight 0.940% → 2.630% (+1.690 pp)·stock down 1.5% in the 30 days before
Jul 1·entry $72.66·now $72.17
-0.67%
since Jul 1
AIEQ · Weight increase · 2d
UBER Technologies currently trades at $70.91, placing it near its 52-week low of $68.61 and at 71% of its 52-week high, following a -10.4% 30-day return and a -16.3% 1-year decline. Against this backdrop of recent price depreciation, the Amplify-managed AIEQ, which uses IBM Watson NLP to process vast data streams across US equities, initiated a consecutive weight increase for UBER. The model, integrating fundamental metrics such as UBER's 18.31% revenue growth and 33.32% return on equity with sentiment analysis from news and social posts, likely identified a compelling buying signal at these lower price levels. This analysis prompted AIEQ's daily rebalancing mechanism to adjust UBER's allocation from 0.86% to 0.90% between June 15 and June 17, reflecting the fund's hybrid style detecting value and a positive shift in market narrative despite recent stock performance.
weight 0.860% → 0.900% (+0.040 pp)·stock down 5.6% in the 30 days before
Jun 17·entry $70.91·now $72.17Fresh
+1.78%
since Jun 17
AIEQ · Weight increase · 2d
weight 0.860% → 0.880% (+0.020 pp)·stock down 1.0% in the 30 days before
Jun 4·entry $72.21·now $72.17Fresh
-0.06%
since Jun 4
AIEQ · Weight increase · 2d
The weight for UBER in AIEQ fluctuated between 0.19% and 0.21% for several days, preceding an abrupt, four-fold increase to 0.86% on May 30, 2026, which occurred while the stock traded near its 52-week low of $69.18. This sharp re-weighting suggests that IBM Watson NLP, which powers AIEQ, likely detected a material shift in sentiment or a key fundamental insight from its broad data ingestion across news, social posts, and corporate filings that positively re-evaluated UBER. Amid UBER's recent price declines and its underlying financial metrics showing 18.31% revenue growth and 33.32% ROE, AIEQ’s high-turnover, daily rebalancing mechanism allowed for a rapid and substantial adjustment, seizing a perceived opportunity as the AI’s ranking improved significantly for the Industrials sector stock.
weight 0.190% → 0.860% (+0.670 pp)·stock down 5.5% in the 30 days before
May 30·entry $73.77·now $72.17Fresh
-2.17%
since May 30
-2.38%
since May 3
BUZZ · Weight increase · 2d
UBER Technologies is trading at $72.08, which places it at 72% of its 52-week high and near the lower boundary of its $68.61 to $100.10 range, following a -21.8% one-year return. This price position, amidst negative returns over the past year, appears to have coincided with an uptick in positive social media and news sentiment, prompting the BUZZ NextGen AI US Sentiment Leaders Index to increase its allocation to UBER. The ETF, which uses NLP to rank stocks by positive-sentiment intensity, registered a consecutive increase in UBER's weight, culminating in 0.5900% on July 13th, as its algorithms likely detected growing positive commentary around the company. Such a rise in sentiment, even with the stock at a lower end of its annual range, could be attributed to online discussions acknowledging UBER's 18.31% revenue growth or its 33.32% return on equity.
weight 0.570% → 0.590% (+0.020 pp)·stock up 8.2% in the 30 days before
Jul 13·entry $74.26·now $72.17Fresh
-2.81%
since Jul 13
BUZZ · Weight decrease · 2d
UBER, currently priced at $72.66, trades at 73% of its 52-week high, reflecting a -12.9% return over the past year despite a modest +2.7% gain over 90 days recently tempered by a -1.9% decline in the last 30 days. This price action, particularly the recent downward pressure, likely correlates with a decrease in positive sentiment among the social media, blog, and news data that VanEck's BUZZ ETF monitors. The observed consecutive weight decrease from 0.6000% on June 26th to 0.5500% by June 30th within the BUZZ portfolio suggests that the algorithm detected a cooling of positive discourse surrounding UBER. Such a shift in sentiment, which drives the ETF's holdings based on its algorithmic tracking of retail-crowd signals, occurred even as UBER reported an 18.31% revenue growth and a 33.32% ROE.
weight 0.600% → 0.550% (-0.050 pp)·stock up 2.5% in the 30 days before
Jun 30·entry $72.16·now $72.17
+0.01%
since Jun 30
BUZZ · Accumulation · 5d
Given BUZZ's method of tracking positive-sentiment intensity via NLP across social media and news, the gradual accumulation in UBER suggests a rising retail-crowd signal for the stock. This algorithmic sentiment tracker, which rebalances its ~75 US large/mid caps monthly, likely captured increasing discussions around UBER as it traded at $72.25, placing it at 72% of its 52-week high. The fund's passive index structure then integrated this growing positive sentiment, leading to the observed increase in weight from 0.41% to 0.58% over recent days. This reflects the index's systematic response to shifts in public sentiment rather than an active manager's discretionary decision.
weight 0.390% → 0.580% (+0.190 pp)·stock up 2.8% in the 30 days before
Jun 24·entry $73.85·now $72.17Fresh
-2.27%
since Jun 24
BUZZ · Weight increase · 2d
UBER's weight in BUZZ exhibited a distinct pattern, with a sharp increase from 0.40% to 0.53% on June 18th, followed by a further move to 0.54% by June 22nd, after previous levels hovered around 0.40%. This substantial upward adjustment by the VanEck-managed fund signals a significant positive shift in social sentiment, as captured by its NLP methodology over varied online sources. Despite UBER's current price of $69.67, trading near its 52-week low and seeing a 19.4% decline over the past year, the algorithmic sentiment tracker likely identified increasing enthusiasm from its retail-crowd signals. This suggests the market’s underlying social discussion perceived value in UBER's fundamentals, such as its 18.31% revenue growth and 33.32% return on equity, at a discounted price point.
weight 0.400% → 0.540% (+0.140 pp)·stock down 4.2% in the 30 days before
Jun 22·entry $71.43·now $72.17Fresh
+1.04%
since Jun 22
BUZZ · Weight increase · 2d
The BUZZ ETF's algorithmic sentiment tracker registered a consecutive weight increase for UBER, moving from 0.4000% to 0.4100% on June 15-16. This modest upward adjustment signals a strengthening positive sentiment detected by the fund's NLP models across social media and news, even as UBER's price sits at $70.91, near the lower end of its 52-week range and having declined over 10% in the past 30 days. Reflecting its strategy of tracking positive-sentiment intensity from the retail-crowd signal, the incremental accumulation suggests the system identifies improving perception for the Industrials sector stock. This gradual change aligns with BUZZ's monthly index reconstitution, indicating a continuous shift in underlying buzz rather than a sharp, active re-allocation.
weight 0.390% → 0.410% (+0.020 pp)·stock down 2.5% in the 30 days before
Jun 16·entry $73.25·now $72.17Fresh
-1.47%
since Jun 16
BUZZ · Weight decrease · 2d
The recent sequence of daily decreases in UBER's weight within BUZZ, falling from 0.4400% to 0.3600% over just ten days, reflects a consistent, gradual erosion of positive retail sentiment. This pattern directly aligns with UBER's market performance, displaying negative returns across 30-day, 90-day, and 1-year periods, alongside its current trading position at 74% of its 52-week high. As a manager tracking positive-sentiment intensity derived from social media and news via NLP, BUZZ's algorithm would detect diminishing enthusiasm linked to such prolonged price weakness. Consequently, the fund would passively reduce its exposure to UBER through a measured adjustment, which is characteristic of its monthly index reconstitution schedule responding to the sustained decline in sentiment intensity.
weight 0.380% → 0.360% (-0.020 pp)·stock down 5.5% in the 30 days before
May 29·entry $70.40·now $72.17
+2.51%
since May 29
BUZZ · Weight decrease · 4d
BUZZ exhibited a sustained decrease in its UBER weighting, moving from 0.43% on May 20th to 0.38% by May 26th, a gradual adjustment over several trading days. This gradual reduction in UBER’s allocation appears to passively reflect a diminishing positive sentiment detected by the fund’s NLP methodology, particularly as UBER’s current price of $70.73 is trading close to its 52-week low of $69.18 and has experienced a -21.8% return over the past year. Considering BUZZ’s strategy to track positive-sentiment intensity derived from broad social media and news, reflecting a retail-crowd signal, a persistent downturn in UBER’s market performance would foreseeably translate into a decay of the measured public enthusiasm. Although BUZZ operates with a monthly index reconstitution, this sequence of daily weight adjustments indicates a continuous erosion of UBER’s sentiment ranking within the index, influenced by the stock's sustained price weakness rather than a sudden shift in its underlying financials like its 18.31% revenue growth.
weight 0.440% → 0.380% (-0.060 pp)·stock down 6.1% in the 30 days before
May 26·entry $70.12·now $72.17
+2.92%
since May 26
BUZZ · Weight decrease · 3d
The VanEck BUZZ NextGen AI US Sentiment Leaders Index, which BUZZ passively tracks, operates by ranking stocks based on positive-sentiment intensity derived from NLP analysis of public discourse. This algorithmic sentiment tracker method likely registered a detectable decline in online enthusiasm for UBER, prompting the consecutive decrease in its portfolio weight from 0.43% to 0.40% between May 20 and May 22, 2026, during the fund's monthly rebalance cycle. Such a shift in sentiment is consistent with UBER's recent price action, including its 30-day return of -3.8% and its position at 70% of its 52-week high, indicating a cooling in market perception captured by the fund's ~75 US large/mid cap holdings selection process. This passive recalibration illustrates how the ETF, mirroring retail crowd signals, adjusts based on observed public sentiment rather than discretionary active management.
weight 0.440% → 0.400% (-0.040 pp)·stock down 3.9% in the 30 days before
May 22·entry $71.82·now $72.17
+0.49%
since May 22
BUZZ · Weight decrease · 2d
UBER's PER of 17.12 and PBR of 6.28, alongside 18.31% revenue growth and a 33.32% ROE, portray a company with specific financial dynamics that become subject to public discourse. As an algorithmic sentiment tracker, BUZZ passively holds stocks based on positive-sentiment intensity derived from NLP analysis of social media and news. The observed consecutive decrease in UBER's weight within the BUZZ portfolio on May 20-21, 2026, reducing its allocation to 0.41%, occurred when the stock traded at $71.82, hovering near the $69.18 lower end of its 52-week range and after a 15.2% decline over the preceding 90 days. This shift suggests a reduction in the positive sentiment intensity surrounding UBER detected by BUZZ's NLP system, coinciding with persistent price weakness.
weight 0.440% → 0.410% (-0.030 pp)·stock down 2.6% in the 30 days before
May 21·entry $73.61·now $72.17
-1.96%
since May 21
BUZZ · Weight decrease · 2d
Currently trading at $75.09, UBER is positioned at 75% of its 52-week high, with its longer-term returns showing declines of 12.9% over 90 days and 12.1% over a year, despite a recent 4.0% bounce in 30 days. This price movement suggests a fading enthusiasm among the retail crowd, which BUZZ's NLP-driven sentiment tracker monitors across social media, blogs, and news. The pattern of decreasing weight in BUZZ for UBER, specifically from 0.4500% on May 7th to 0.4200% by May 14th, directly reflects a reduction in the positive-sentiment intensity detected for the stock. While UBER presents a PER of 17.9 and PBR of 6.28 alongside a 33.32% ROE and 18.31% revenue growth, these figures alone have evidently not generated enough positive social buzz to maintain its prior ranking within the index. As BUZZ passively holds US large/mid caps and rebalances monthly based purely on NLP-derived sentiment, the weight reduction indicates that UBER's current market trajectory and financial profile are not generating the intense, widespread positive commentary required by this algorithmic sentiment tracker to increase or even sustain its allocation.
weight 0.440% → 0.420% (-0.020 pp)·stock down 3.4% in the 30 days before
May 14·entry $74.69·now $72.17
-3.37%
since May 14
-4.35%
since May 8
-1.07%
since May 5
PQUS · New entry · 1d
weight 0 → 0.090% (new)·stock down 5.5% in the 30 days before
May 29·entry $70.40·now $72.17Drifting
+2.51%
since May 29
PQUS · Exit · 1d
The AI ETF likely removed UBER despite strong revenue growth and high ROE, suggesting the AI's complex models detected a better capital deployment opportunity elsewhere or initiated a strategic rebalance, perhaps deeming its valuation less attractive compared to alternatives. For retail investors, this highlights that AI-managed funds dynamically optimize portfolios, and a stock's removal isn't always a negative signal for the company itself, but rather a reflection of the AI identifying superior risk-adjusted opportunities or adjusting its market outlook.
weight 0.020% → 0 (exited)·stock up 5.1% in the 30 days before
May 10·entry $76.15·now $72.17
-5.23%
since May 10
-3.27%
since Apr 30
LQAI · Exit · 1d
Despite UBER's strong revenue growth and high ROE, the AI ETF likely removed it due to its sophisticated model determining the stock's valuation (PER 17.81, PBR 6.28) no longer offered sufficient risk-adjusted return or better opportunities emerged elsewhere. This demonstrates that retail investors should always evaluate a stock's valuation in the context of their own investment thesis and available alternatives, as AI funds prioritize objective, strategic portfolio adjustments.
weight 1.390% → 0 (exited)·stock up 5.6% in the 30 days before
May 12·entry $76.36·now $72.17
-5.49%
since May 12
-4.35%
since May 8
-1.07%
since May 5
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 May 11
While several AI ETFs currently hold UBER, recent signals from PQUS, BUZZ, LQAI, and AIEQ indicate a trend of decreasing weight or exiting the position. This cautious approach by AI-managed funds partially aligns with a Buffett-style framework's 'Too Hard' verdict, which finds the company's long-term predictability challenging despite its market presence.
- Circle of CompetenceThe evolving regulatory landscape, intense competition, and uncertain labor models within ride-sharing and delivery make long-term unit economics and cash flow projections genuinely unpredictable.
- Economic MoatNot applicable as the company falls outside the circle of competence.
- ManagementNot applicable as the company falls outside the circle of competence.
- Financial HealthNot applicable as the company falls outside the circle of competence.
- Margin of SafetyNot applicable as the company falls outside the circle of competence.
The application of the Buffett-style framework leads to a 'Too Hard' verdict for UBER, primarily due to the inherent unpredictability of its core unit economics and the rapidly evolving regulatory and competitive landscape. While UBER's market position is significant, the lack of stable, predictable earning power over a ten-year horizon precludes it from further analysis within this 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.