LQAI3.920%
as of Jul 17
TSLA
GrowthTESLA INC
Tesla, Inc. designs, develops, manufactures, leases, and sells electric vehicles, and energy generation and storage systems in the United States, China, and internationally. The company operates in two segments, Automotive; and Energy Generation and Storage. The company offers electric vehicles, as well as sells automotive regulatory credits; and non-warranty maintenance services and collision, automotive insurance services, as well as part sales and retail merchandise sale.
Close · 3M
-7.30%
Held by 5 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 signals20
Win rate0% (0/20)
Avg buy return-10.08%
LQAI · Weight increase · 2d
Currently priced at $380.84, TSLA sits at 78% of its 52-week high, having experienced recent declines of 9.0% over 30 days and 4.6% over 90 days, despite a 29.6% one-year return. This recent pullback likely prompted Qraft's AI ranking engine, which manages LQAI's weekly rebalances within its US large-cap core universe, to identify a tactical opportunity. While TSLA's financials show a PER of 370.36, a PBR of 18.21, revenue growth of 2.25%, and ROE of 4.77%, the AI's model, positioned between broad and concentrated momentum strategies, evidently prioritizes forward-looking signals over current valuation metrics alone. The detected consecutive weight increase for TSLA, moving from 3.97% to 3.98% on July 15th and 16th, indicates the AI's system perceived an emerging positive inflection point after the stock's recent price depreciation.
weight 3.960% → 3.980% (+0.020 pp)·stock down 4.9% in the 30 days before
Jul 16·entry $391.06·now $369.57Fresh
-5.50%
since Jul 16
LQAI · Weight decrease · 2d
TSLA is currently priced at $396.18, trading at 81% of its 52-week high, after declining 4.7% over the past 30 days. This recent short-term price trajectory coincides with the consecutive weight decrease observed in LQAI from July 10 to July 14, aligning with the ETF’s weekly rebalancing mechanism. The Qraft AI ranking engine likely assessed TSLA’s elevated valuation multiples—a PER of 395.36 and PBR of 18.21—in contrast with its 2.25% revenue growth and 4.77% ROE. Given LQAI's AI-driven selection approach for a core large-cap universe, which avoids heavy factor tilts, the consecutive reduction suggests the AI perceived a reduced relative appeal for TSLA at this price level.
weight 4.040% → 3.960% (-0.080 pp)·stock down 0.7% in the 30 days before
Jul 14·entry $396.18·now $369.57
-6.72%
since Jul 14
LQAI · Accumulation · 5d
The LG-Qraft collaboration, leveraging its Qraft AI ranking for US large-cap core selections, increased its allocation to TSLA. This gradual accumulation, spanning several days within LQAI's weekly rebalance cycle, indicates a sustained positive signal from the AI model on the stock. The fund's AI-driven name selection appears to have identified value in TSLA at its current price of $407.76, even as the stock experienced a 30-day return of -7.8%. This move within LQAI's portfolio of approximately 100 US large caps suggests Qraft’s system is prioritizing specific company attributes, potentially looking beyond the recent 2.25% revenue growth figures. The approach allows the fund to act on perceived opportunities without a heavy factor tilt, reflecting its core large-cap style.
weight 3.840% → 4.040% (+0.200 pp)·stock down 0.6% in the 30 days before
Jul 9·entry $406.55·now $369.57Fresh
-9.10%
since Jul 9
LQAI · Accumulation · 5d
The Qraft AI ranking engine, central to LQAI's weekly rebalances within its approximately 100 US large-cap portfolio, initiated a gradual accumulation in TSLA. Despite the stock's high PER of 413.6 and modest revenue growth of 2.25%, the AI-driven selection method appears to have identified a buying opportunity. The recent 30-day return of -9.1% likely signaled a short-term dip that the AI assessed as favorable. This strategic addition, reflecting LQAI's core large-cap style, indicates the AI prioritized specific market dynamics over conventional fundamental valuation metrics.
weight 3.580% → 3.980% (+0.400 pp)·stock up 0.8% in the 30 days before
Jul 8·entry $394.06·now $369.57Fresh
-6.21%
since Jul 8
LQAI · Accumulation · 6d
LQAI, which employs the Qraft AI ranking engine for its weekly rebalancing of approximately 100 US large-cap core holdings, engaged in a period of gradual accumulation for TSLA. This activity reflects the AI's continuous evaluation of the Consumer Discretionary sector, identifying an emerging positive signal for the company within its US large-cap universe. The fund’s AI-driven selection method, designed without a heavy factor tilt and positioned between broad and concentrated momentum strategies, likely interpreted TSLA's recent 30-day return of -5.4% as a compelling entry point. This sustained increase in weight, moving from 3.49% to 4.05% over two weeks, signals the Qraft algorithm's conviction within its core large-cap framework at a price sitting at 82% of its 52-week high.
weight 3.490% → 4.050% (+0.560 pp)·stock down 3.7% in the 30 days before
Jul 7·entry $402.90·now $369.57Fresh
-8.27%
since Jul 7
LQAI · Accumulation · 5d
Tesla's PER of 413.6 and PBR of 18.21, alongside 2.25% revenue growth and 4.77% ROE, indicate LQAI's Qraft AI selection engine is not strictly adhering to traditional value or rapid fundamental growth screens for its large-cap core universe. This AI-driven methodology, positioned between broad market and concentrated momentum strategies, likely interpreted these metrics and the stock's current price of $419.77, which is 86% of its 52-week high, as a strategic entry point. The gradual accumulation from 3.57% to 3.99% in LQAI's portfolio weight between late June and early July 2026 occurred during a period of muted short-term price action, with 30-day and 90-day returns near flat. This suggests the Qraft AI identified a longer-term opportunity in TSLA during its weekly rebalances, choosing to increase exposure without strong recent momentum acting as a primary catalyst, consistent with an AI that doesn't exhibit heavy factor tilts.
weight 3.570% → 3.990% (+0.420 pp)·stock down 0.9% in the 30 days before
Jul 6·entry $419.77·now $369.57Fresh
-11.96%
since Jul 6
-13.10%
since Jul 1
LQAI · Weight increase · 3d
stock down 3.5% in the 30 days before
Jun 30·entry $420.60·now $369.57Fresh
-12.13%
since Jun 30
LQAI · Weight increase · 2d
stock down 6.8% in the 30 days before
Jun 29·entry $411.84·now $369.57Fresh
-10.26%
since Jun 29
QRFT · Weight decrease · 2d
TSLA's current price of $380.84, at 78% of its 52-week high, followed a -9.0% 30-day return and -4.6% 90-day return, indicating recent downward pressure after a year of gains. This recent negative momentum, combined with the stock's high PER of 370.36 and PBR of 18.21, likely presented a negative signal for QRFT's AI, which considers traditional factors like value and momentum in its weekly rebalancing. Furthermore, the 2.25% revenue growth and 4.77% ROE, evaluated through Qraft's proprietary alternative-data overlays, probably reinforced the AI's decision to reduce allocation. Consequently, the consecutive weight decreases on July 7th and July 8th, settling at 3.1400% on the fund's final snapshot, reflect the AI systematically de-risking from TSLA as QRFT approached its liquidation date.
weight 3.320% → 3.140% (-0.180 pp)·stock up 0.8% in the 30 days before
Jul 8·entry $394.06·now $369.57
-6.21%
since Jul 8
QRFT · Accumulation · 5d
TSLA, trading at $402.90, has seen a 5.4% decline over the past 30 days, currently sitting at 82% of its 52-week high, after a year with an 18.3% return. This price movement appears to have activated QRFT's Qraft AI, which integrates traditional factors like momentum with proprietary alternative-data overlays. While TSLA presents a high PER of 413.6 and PBR of 18.21, alongside a 2.25% revenue growth, the AI's alternative data is likely identifying underlying signals that diverge from what conventional fundamental analysis might suggest. The observed gradual accumulation, with the fund's weight increasing from 3.02% to 3.39% over the specific period, indicates the AI is incrementally adjusting its portfolio in response to these evolving, non-traditional insights at current price levels.
weight 3.020% → 3.210% (+0.190 pp)·stock down 3.7% in the 30 days before
Jul 7·entry $402.90·now $369.57Fresh
-8.27%
since Jul 7
QRFT · Accumulation · 5d
TSLA's current financial profile, characterized by a PER of 413.6, PBR of 18.21, 2.25% revenue growth, and a 4.77% ROE, typically presents challenges for traditional value-focused selection; however, QRFT's Qraft AI, a broad large-cap core fund with an AI tilt, utilizes proprietary alternative-data overlays alongside traditional factors. This methodology likely drove the fund's decision for gradual accumulation, increasing TSLA's weight from 3.03% on June 24 to 3.39% by July 1, even as the stock traded at $419.77, approximately 86% of its 52-week high. The AI's specific signals for TSLA, perhaps detecting a particular momentum profile or quality attribute through its alternative data, prompted this series of weekly rebalances, despite the stock's relatively flat 0.5% 30-day and 0.6% 90-day returns during that period.
weight 3.030% → 3.320% (+0.290 pp)·stock down 0.9% in the 30 days before
Jul 6·entry $419.77·now $369.57Fresh
-11.96%
since Jul 6
-13.10%
since Jul 1
QRFT · Weight increase · 3d
stock down 3.5% in the 30 days before
Jun 30·entry $420.60·now $369.57Fresh
-12.13%
since Jun 30
QRFT · Weight increase · 2d
stock down 6.8% in the 30 days before
Jun 29·entry $411.84·now $369.57Fresh
-10.26%
since Jun 29
BUZZ · Weight decrease · 2d
TSLA's gradual reduction in weight within BUZZ, decreasing from 3.17% on July 6th to 3.10% by July 14th with minor inter-day rebounds, reflects a calibrated shift rather than an abrupt rebalancing. This modest scaling back aligns with BUZZ's strategy as an algorithmic sentiment tracker; its NLP algorithms likely detected a slight cooling in positive-sentiment intensity across social media, blogs, and news surrounding TSLA. The stock's current price, at 81% of its 52-week high and experiencing a -6.9% 30-day return, coupled with a high PER of 395.36 and PBR of 18.21, could contribute to a moderation of the retail crowd's enthusiasm that BUZZ aims to capture. Such a measured adjustment by a passively managed ETF, even one tracking sentiment, suggests a softening in the public's perception of TSLA’s near-term narrative intensity rather than a sharp change in fundamental outlook.
weight 3.140% → 3.100% (-0.040 pp)·stock down 0.7% in the 30 days before
Jul 14·entry $396.18·now $369.57
-6.72%
since Jul 14
BUZZ · Weight increase · 2d
TSLA’s high price-to-earnings ratio of 395.36 and price-to-book ratio of 18.21, alongside modest revenue growth of 2.25% and return on equity of 4.77%, illustrate that BUZZ, as an algorithmic sentiment tracker, does not prioritize traditional fundamental metrics for its portfolio inclusion. It relies instead on NLP analysis of social media, blogs, and news to gauge positive sentiment intensity among US large and mid-caps. The observed consecutive weight increases in TSLA, such as the shifts from 3.05% on July 8th to 3.10% on July 9th and then 3.14% on July 10th, indicate a rising positive sentiment captured by the fund's methodology. This uplift in sentiment and subsequent weight change occurs while TSLA's share price is $394.76, having experienced a 9.4% decline over the past 30 days and currently sitting at 81% of its 52-week high. Such a pattern suggests the fund is responding to increased positive commentary around a stock that has seen a recent price correction, reflecting its unique role as a gauge of popular online opinion.
weight 3.050% → 3.140% (+0.090 pp)·stock up 2.8% in the 30 days before
Jul 10·entry $407.76·now $369.57Fresh
-9.37%
since Jul 10
BUZZ · Weight decrease · 2d
TSLA exhibits a PER of 395.36 and a PBR of 18.21, with revenue growth at 2.25% and ROE at 4.77%. These financial figures hold less sway for BUZZ, which operates as an algorithmic sentiment tracker capturing positive social media buzz rather than fundamental value. The recent consecutive weight decrease on July 7th and 8th, moving from 3.17% to 3.05%, aligns with TSLA's 30-day return of -7.7%, suggesting a decline in positive market sentiment. This shift, captured by VanEck’s NLP methodology indexing retail-crowd signals, indicates less perceived optimism surrounding the stock at its current price of $406.55, sitting at 83% of its 52-week high.
weight 3.170% → 3.050% (-0.120 pp)·stock up 0.8% in the 30 days before
Jul 8·entry $394.06·now $369.57
-6.21%
since Jul 8
BUZZ · Accumulation · 5d
VanEck’s BUZZ ETF, which passively holds around 75 US large/mid caps by tracking social sentiment, increased its allocation to TSLA from 2.92% to 3.17% across late June and early July. This move aligns with the fund's method of ranking stocks by positive-sentiment intensity, gathered from NLP analysis of social media, blogs, and news sources. Despite a PER of 413.6, a figure that typically indicates elevated valuation, TSLA’s growing weight in the portfolio suggests a perceived increase in positive discussions among the retail crowd that BUZZ aims to track. The gradual accumulation observed, consistent with its monthly index reconstitution schedule, likely stems from renewed positive sentiment emerging as TSLA experienced a 30-day return of -5.4%, potentially signaling an attractive entry point for sentiment-driven investors at its current price of $402.90.
weight 2.920% → 3.170% (+0.250 pp)·stock down 0.9% in the 30 days before
Jul 6·entry $419.77·now $369.57Fresh
-11.96%
since Jul 6
BUZZ · Accumulation · 5d
The fund initially demonstrated a pattern of gradual accumulation in TSLA, with its weight rising from 2.9000% on June 23rd to a peak of 3.2100% by July 1st. This specific upward cadence reflects BUZZ's strategy of passively tracking an index derived from NLP analysis of social media and news, indicating a building positive retail-crowd signal around TSLA. The increased allocation occurred as TSLA was trading at 86% of its 52-week high, following relatively flat 30-day and 90-day returns, suggesting public sentiment could be re-energizing after a period of consolidation. The subsequent adjustment to 3.0100% on July 2nd, following the prior accumulation, aligns with BUZZ’s monthly index reconstitution schedule, which can lead to position refinements based on fresh sentiment rankings.
weight 2.900% → 3.010% (+0.110 pp)·stock down 7.1% in the 30 days before
Jul 2·entry $393.45·now $369.57Fresh
-6.07%
since Jul 2
BUZZ · Accumulation · 5d
The weight of TSLA in BUZZ showed a pattern of gradual accumulation, beginning with a slight dip to 2.90% before steadily increasing to 3.21% over the observed period. This persistent, modest uptick in allocation reflects BUZZ's algorithmic sentiment tracking, which likely identified a strengthening positive social media presence for TSLA, even as the stock experienced a -5.7% return over the prior 30 days and traded at 80% of its 52-week high. Operating as a passive sentiment tracker, BUZZ’s rebalancing mechanism would have translated this sustained positive sentiment, derived from NLP analysis of diverse online sources, directly into a higher portfolio weighting during a monthly index reconstitution. Such an increase is driven solely by the measured intensity of online commentary, rather than an active assessment of TSLA's elevated PER of 413.6, PBR of 18.21, or its 2.25% revenue growth.
weight 3.010% → 3.210% (+0.200 pp)·stock up 2.3% in the 30 days before
Jul 1·entry $425.30·now $369.57Fresh
-13.10%
since Jul 1
-12.13%
since Jun 30
-10.26%
since Jun 29
PQUS · Weight decrease · 2d
Pictet Asset Management’s PQUS, which employs an AI ranking system across ~165 US large-cap holdings with periodic rebalances, initiated this consecutive weight decrease in Tesla. The fund’s AI model, subject to sector-balance and concentration rules, likely de-prioritized TSLA following its latest assessment period, leading to the gradual reduction observed from July 15-19. This adjustment aligns with TSLA’s recent underperformance, evidenced by a 30-day return of -9.0%, as well as its comparatively low revenue growth of 2.25% relative to its very high valuation. Such a move reflects the AI’s systematic approach to managing its portfolio at the current $380.84 price point, rather than a daily reaction, consistent with PQUS's measured turnover style.
weight 1.720% → 1.690% (-0.030 pp)·stock down 5.9% in the 30 days before
Jul 19·entry $369.57·now $369.57
0.00%
since Jul 19
PQUS · Weight increase · 2d
Currently trading at $407.76, TSLA sits at 83% of its 52-week high, having recently experienced a 7.8% decline over the past 30 days while maintaining a 26.0% gain over the last year. This recent price dip appears to have coincided with the Pictet Asset Management AI ranking system, utilized by the PQUS ETF, identifying an opportunity to incrementally increase its holding in the US large-cap company. The ETF, which rebalances periodically and manages ~165 US large caps, showed a consecutive increase in TSLA's weight, moving from 1.6700% on July 7th to 1.7600% by July 8th, followed by further increases to 1.7600% by July 11th, indicating a positive re-evaluation by the AI's algorithm. Despite TSLA's high PER of 395.36 and PBR of 18.21, coupled with a revenue growth of 2.25% and ROE of 4.77%, the AI system likely factored in TSLA's market position within the US large-cap universe during its recent price correction. The measured turnover style of PQUS suggests the AI system's decision to increase allocation reflects a calculated move within its sector-balance and concentration rules, rather than a short-term reaction to volatility.
weight 1.700% → 1.760% (+0.060 pp)·stock up 2.8% in the 30 days before
Jul 11·entry $394.76·now $369.57Fresh
-6.38%
since Jul 11
PQUS · Weight decrease · 2d
Pictet Asset Management's PQUS, which operates an AI ranking system on its ~165 US large-cap universe, adjusted its TSLA exposure through a series of consecutive weight decreases during its periodic rebalance. This measured turnover within the fund's strategy indicates the AI system likely assessed TSLA's financial profile as less attractive compared to other opportunities, particularly given its elevated PER of 413.6. The reduction from 1.81% to 1.67% over two days suggests the AI prioritizes a re-allocation within its sector-balance and concentration rules. Despite a 1-year return of +22.1%, the AI's decision might reflect a reevaluation of TSLA's valuation against its more modest revenue growth of 2.25%.
weight 1.810% → 1.670% (-0.140 pp)·stock down 7.1% in the 30 days before
Jul 3·entry $419.77·now $369.57
-11.96%
since Jul 3
-2.67%
since Jun 26
AIEQ · Weight decrease · 2d
Amplify ETFs' AIEQ, leveraging IBM Watson NLP across thousands of US equities, significantly reduced its Tesla position from 2.70% to 0.16% on July 1st, reflecting its daily rebalancing and high-turnover strategy. The fund's AI-driven method, which blends fundamentals and sentiment analysis, likely detected a sustained shift in Tesla's outlook. This decisive portfolio adjustment, characteristic of a fund managing 140-180 US stocks with daily rebalancing, was perhaps triggered by Tesla's valuation, evidenced by a high PER of 413.6 alongside a modest 2.25% revenue growth. Such data points, continuously ingested from news, filings, and social posts, likely led EquBot's risk overlay to flag the stock for a substantial divestment.
weight 2.700% → 0.150% (-2.550 pp)·stock down 7.1% in the 30 days before
Jul 3·entry $419.77·now $369.57
-11.96%
since Jul 3
AIEQ · Sudden change · 1d
With TSLA's PER at 413.6 and PBR at 18.21, alongside a 2.25% revenue growth and 4.77% ROE, these metrics suggest a valuation heavily reliant on market sentiment within AIEQ's "fundamentals + sentiment hybrid" style. The fund's rapid rebalance on 2026-07-01, reducing TSLA's weight from 2.7000% to 0.1600%, occurred after the stock achieved a 30-day return of +5.2% and reached $425.30, placing it at 87% of its 52-week high. IBM Watson NLP, processing a wide array of textual data daily, likely detected a significant shift in prevailing market sentiment or an elevated risk signal from EquBot’s overlay, leading the system to drastically reduce exposure to TSLA at what it perceived as an extended price level. Such a sharp adjustment is characteristic of AIEQ's high-turnover portfolio, responding quickly to changes in its daily ranking.
weight 2.700% → 0.160% (-2.540 pp)·stock up 2.3% in the 30 days before
Jul 1·entry $425.30·now $369.57
-13.10%
since Jul 1
-1.48%
since Jun 25
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 Jul 12
The framework deems Tesla 'Too Hard' to evaluate due to its unpredictable long-term unit economics, which contrasts with several AI ETFs like LQAI, QRFT, and at times BUZZ, showing recent gradual accumulation trends. However, the significant weight decrease by AIEQ and mixed signals from PQUS and BUZZ suggest some AI models may share a more cautious outlook on the company's current valuation or future predictability.
- Circle of CompetenceTesla's reliance on rapidly evolving and unproven technologies like full self-driving and AI/robotics makes its future unit economics genuinely unpredictable beyond a few years.
- Economic MoatThe unpredictability of the industry's future direction prevents a reliable assessment of any durable competitive advantages over a long time horizon.
- ManagementA thorough evaluation of management's capital allocation and candor cannot be reliably made without a clear understanding of the company's predictable earning power.
- Financial HealthThe current financial performance, particularly the ROE of 4.77%, falls significantly short of the framework's benchmarks for a financially healthy and consistently profitable enterprise.
- Margin of SafetyThe current market valuation is exceptionally high relative to reported financials, making it impossible to identify a margin of safety or a conservative estimate of intrinsic value within the framework.
Tesla's diverse and rapidly evolving business lines, particularly those reliant on unproven advanced technologies, make its future earning power genuinely unpredictable, leading to a 'Too Hard' verdict for value investors. While the company possesses strong brand recognition and innovative capabilities, the fundamental difficulty in projecting long-term unit economics prevents a thorough assessment within this framework. Without predictable cash flows, determining intrinsic value or evaluating key factors like a durable moat becomes impossible for a value-oriented analysis.
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.