as of Jul 8
IBM
GrowthINTL BUSINESS MACHINES CORP
International Business Machines Corporation, together with its subsidiaries, provides integrated solutions and services in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. It operates through Software, Consulting, Infrastructure, and Financing segments. The Software segment offers hybrid cloud and AI platforms that allow clients to realize their digital and AI transformations across the applications, data, and environments in which they operate.
Close · 3M
-15.92%
Held by 2 AI ETFs
as of Jul 17
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.
QRFT · Accumulation · 5d
Trading at $306.13, near 93% of its 52-week high, IBM's recent surge—a +20.6% 30-day return and +26.5% over 90 days—likely engaged the momentum and alternative-data overlays within Qraft AI's broad large-cap core strategy, despite its more subdued +4.2% 1-year performance. This specific fund's gradual accumulation of IBM, increasing its weight from 0.5300% to 0.6200%, suggests the AI identified sustained positive signals. Leveraging its combination of traditional factors, Qraft AI likely factored in IBM's 9.67% revenue growth and 35.53% ROE, indicating continued fundamental strength. The measured increase points to the proprietary models finding ongoing justification for the position, even as the stock approached its yearly peak.
weight 0.530% → 0.620% (+0.090 pp)·stock up 1.4% in the 30 days before
Jul 7·entry $306.13·now $213.00Fresh
QRFT · Weight increase · 3d
Qraft Technologies' AI, which rebalances its ~300 US large-cap portfolio weekly using traditional factors and proprietary alternative data, progressively increased its exposure to IBM. This sustained weighting increment, observed from late June into early July, indicates the AI model likely identified growing positive signals across its combined value, momentum, quality, and low-vol factors for the Information Technology giant. The system appears to be reacting both to IBM's significant 30-day price return of 18.4%, aligning with its momentum factor, and its strong underlying quality as evidenced by a 35.53% ROE. Such a precise series of adjustments, raising the allocation from 0.56% to 0.60% over a span of days, points to the AI discerning a favorable shift in underlying fundamentals and market sentiment at a current price nearing 91% of its 52-week high.
weight 0.560% → 0.600% (+0.040 pp)·stock down 2.0% in the 30 days before
Jul 6·entry $299.52·now $213.00Fresh
QRFT · Weight increase · 2d
IBM's PER of 25.03, PBR of 8.48, and particularly its 35.53% ROE alongside 9.67% revenue growth present a profile that aligns with QRFT's AI methodology, which considers quality and growth aspects in its blend of traditional factors. This blend, incorporating value, momentum, quality, and low-volatility, suggests that Qraft AI's proprietary alternative-data overlays are identifying continued positive signals for IBM within QRFT's diversified large-cap core portfolio. The consecutive daily weight increases on July 1st and 2nd, raising IBM's allocation from 0.56% to 0.59%, closely followed a period where the stock recorded a 30-day return of +28.7% and a 90-day return of +26.3%. This upward adjustment by the weekly rebalancing QRFT fund occurred as IBM, trading at $289.52, reached 88% of its 52-week high, indicating sustained positive price action was a key factor in the AI's re-evaluation.
weight 0.560% → 0.590% (+0.030 pp)·stock down 12.1% in the 30 days before
Jul 2·entry $289.52·now $213.00Fresh
BUZZ · Weight decrease · 3d
IBM’s PER of 18.59, PBR of 8.48, Revenue Growth of 9.67%, and ROE of 35.53% reflect specific financial characteristics, though BUZZ, operating as an algorithmic sentiment tracker, evaluates positive sentiment intensity rather than these fundamental figures. Analyzing social media, blogs, and news, the ETF’s index detected a pronounced decline in positive sentiment towards IBM. This deterioration directly correlates with IBM’s -29.5% 30-day return and its current price of $212.67, which sits near its 52-week low of $211.20. Responding to the aggregated retail-crowd signal, BUZZ’s portfolio saw a notable weight reduction in IBM, falling from 1.12% on July 10th to 0.50% by July 16th, consistent with the detected pattern of decreasing positive public sentiment.
weight 1.160% → 0.500% (-0.660 pp)·stock down 18.5% in the 30 days before
Jul 16·entry $219.05·now $213.00
BUZZ · Weight decrease · 2d
The pattern for IBM in BUZZ exhibits a significant stepped decrease on July 14th, from 1.16% to 0.86%, followed by a further dip to 0.84% on July 15th. This pronounced reduction and subsequent minor contraction in weight align directly with the ETF's algorithmic sentiment tracking strategy and IBM's recent price action. With IBM currently trading at $219.05, just above its 52-week low of $211.20 and having posted a negative 28.3% return over the past 30 days, the NLP engine likely registered a substantial decline in positive social media and news sentiment. The monthly rebalancing mechanism of BUZZ would then translate this reduced positive-sentiment intensity into a lower index ranking for IBM, necessitating the substantial portfolio weight adjustment observed on July 14th as the fund passively reallocated. The following day's small decrease further indicates a sustained, albeit modest, erosion of retail enthusiasm for the stock at this depressed price level.
weight 1.160% → 0.840% (-0.320 pp)·stock down 22.4% in the 30 days before
Jul 15·entry $211.20·now $213.00
BUZZ · Weight decrease · 3d
IBM's financial profile, showing a PER of 25.42, a PBR of 8.48, and a 35.53% ROE alongside 9.67% revenue growth, presents a company with specific valuation and profitability metrics, but the VanEck BUZZ ETF's methodology is driven by positive-sentiment intensity gleaned from social media, blogs, and news sources. The consecutive weight decrease for IBM within BUZZ, observed from July 8th to July 10th (from 1.19% to 1.12%), followed a period where IBM’s 30-day return turned negative 2.5%, contrasting its positive 16.1% 90-day return. This shift suggests a decline in the short-term positive sentiment among retail-crowd signals, which the algorithmic sentiment tracker interprets, leading to a reduced ranking for IBM within the index. Even with IBM’s current price at $290.23, sitting at 88% of its 52-week high, this pattern reflects a dip in perceived enthusiasm rather than a direct fundamental reassessment by the sentiment-driven fund.
weight 1.210% → 1.120% (-0.090 pp)·stock up 3.6% in the 30 days before
Jul 10·entry $287.56·now $213.00
BUZZ · Weight decrease · 2d
IBM shares have recently climbed to $287.56, marking an 8.8% 30-day return and 17.2% over 90 days, placing it at 87% of its 52-week high, despite a slight negative 1-year return. This recent upward momentum occurred before BUZZ, which ranks stocks by positive sentiment intensity derived from NLP analysis of social media and news, began to reduce its position in IBM. Following a peak weight of 1.21% on July 7th, the fund’s consecutive decreases to 1.19% and then 1.14% suggest a softening of positive sentiment detected by its algorithmic tracker. This shift in public perception prompted the weight reduction, even with financials showing a 9.67% revenue growth and 35.53% ROE, demonstrating how the ETF's methodology responds directly to changes in collective online opinion rather than just fundamental data or price performance.
weight 1.210% → 1.140% (-0.070 pp)·stock up 5.2% in the 30 days before
Jul 9·entry $295.30·now $213.00
BUZZ · Accumulation · 5d
The gradual accumulation of IBM's weight in BUZZ, observed through a steady rise from 1.03% to 1.21% over roughly two weeks, directly reflects the ETF's algorithmic sentiment tracking strategy. As a fund that passively holds stocks based on their positive-sentiment intensity derived from NLP analysis of social media and news, this incremental increase suggests sustained favorable discussion surrounding IBM. The company's recent 30-day return of +20.5% and a current price at 92% of its 52-week high would have consistently generated the positive online mentions required for a higher ranking in the BUZZ NextGen AI US Sentiment Leaders Index. Unlike actively managed funds, BUZZ's monthly rebalancing based on index reconstitution naturally translates this persistent positive sentiment, potentially underpinned by its 9.67% revenue growth and 35.53% return on equity, into gradual portfolio adjustments rather than abrupt allocation changes.
weight 1.030% → 1.210% (+0.180 pp)·stock up 1.4% in the 30 days before
Jul 7·entry $306.13·now $213.00Fresh
BUZZ · Weight increase · 3d
A pattern of consecutive weight increases for IBM, beginning July 1st and extending to July 6th, indicates a sustained shift in positive sentiment detected by the BUZZ ETF's NLP algorithms. This gradual upward adjustment, following a period of static allocation, aligns with BUZZ's algorithmic sentiment tracking style, which rebalances monthly and reacts to building positive-sentiment intensity rather than fleeting market noise. Despite IBM's current share price nearing its 52-week high after a 20.6% return over 30 days, the NLP appears to be identifying persistent positive discussions across social media, blogs, and news, suggesting that the "buzz" around the company is deepening. This continued increase in allocation reflects the fund manager's method of passively holding stocks whose positive sentiment is sustained, even as the underlying asset appreciates significantly.
weight 1.070% → 1.150% (+0.080 pp)·stock down 2.0% in the 30 days before
Jul 6·entry $299.52·now $213.00Fresh
BUZZ · Weight increase · 2d
The overall upward trend in IBM's weight within BUZZ, increasing from 1.02% to 1.12% across multiple trading days from late June to early July, demonstrates a sustained, stepped accumulation rather than an abrupt shift. This gradual rise suggests BUZZ’s NLP-driven methodology detected a consistent and building positive sentiment surrounding IBM, especially as the stock posted 30-day and 90-day returns of +18.4% and +26.1% respectively. With IBM trading at 91% of its 52-week high, coupled with revenue growth of 9.67% and a ROE of 35.53%, the algorithmic tracker likely identified a gathering enthusiasm for the Information Technology giant in online discourse. This sustained positive buzz, reflecting the continuous influx of retail-crowd signals, positioned IBM for increased allocation during the monthly index reconstitution that governs BUZZ's portfolio adjustments.
weight 1.070% → 1.120% (+0.050 pp)·stock down 12.1% in the 30 days before
Jul 2·entry $289.52·now $213.00Fresh
BUZZ · Accumulation · 5d
VanEck's BUZZ ETF, which ranks stocks by positive-sentiment intensity using NLP across social media and news, initiated a position in IBM and subsequently increased its allocation. The gradual accumulation from 0.0000% to 1.0700% in IBM's weight over a short period in June 2026 indicates a sustained positive signal detected by the algorithmic sentiment tracker, prompting a larger holding during its monthly index reconstitution cycle. This heightened positive chatter for the Information Technology giant aligns with its recent price action, including a +26.2% 30-day return, and its solid 9.67% revenue growth. Such a pattern suggests a confluence of favorable market discussion and fundamental indicators that pushed IBM into the fund's approximately 75-stock portfolio.
weight 0.920% → 1.070% (+0.150 pp)·stock up 5.2% in the 30 days before
Jun 29·entry $278.00·now $213.00Fresh
BUZZ · Accumulation · 5d
IBM, currently priced at $278.00 and trading at 84% of its 52-week high, has experienced a strong +26.8% return over the past 30 days, a notable reversal from its -1.4% 1-year performance. This recent upward price trajectory, occurring after a period of underperformance, likely generated increasing positive discussion across social media, blogs, and news, which VanEck's BUZZ ETF's NLP methodology tracks. The gradual accumulation in BUZZ's portfolio, from 0.00% on June 17th to 1.07% by June 26th, suggests the detected sentiment intensity around IBM strengthened, possibly fueled by its 9.67% revenue growth and 35.53% return on equity. Operating as an algorithmic sentiment tracker reflecting a retail-crowd signal, BUZZ's move into IBM at this price level indicates a detected surge in positive public perception, aligning with the stock's recent price momentum and its fundamental metrics.
weight 0.920% → 1.070% (+0.150 pp)·stock up 6.4% in the 30 days before
Jun 26·entry $271.63·now $213.00Fresh
BUZZ · Weight increase · 4d
IBM's weight within BUZZ shows a distinct, consecutive increase from zero on June 18th to 1.04% by June 24th, indicating a steady accumulation rather than an abrupt shift. This gradual build aligns with BUZZ's role as an algorithmic sentiment tracker, which likely registered a burgeoning positive sentiment for IBM, particularly as the stock delivered a 20.3% 30-day return from a position below its 52-week high of $329.23. The fund's NLP system likely detected growing enthusiasm around IBM's Information Technology sector presence and financial metrics like 9.67% revenue growth and 35.53% ROE amongst social media and news, interpreting renewed interest in a stock regaining ground. The consistent daily additions during this period suggest that as positive-sentiment intensity built, IBM's rank within the BUZZ NextGen AI US Sentiment Leaders Index improved, leading to a measured, progressive allocation within the monthly rebalancing framework.
weight 0 → 1.040% (new)·stock up 3.6% in the 30 days before
Jun 24·entry $262.96·now $213.00Fresh
BUZZ · Weight increase · 3d
IBM's current price of $262.96, while experiencing a 30-day return of +20.0%, remains 80% of its 52-week high and shows a 1-year return of -6.6%. This recent upward movement, following a period further from its peak, suggests a shift in market perception. The BUZZ ETF, which passively tracks an index ranking stocks by positive-sentiment intensity using NLP on social media and news, likely detected a surge in positive commentary around IBM during this price appreciation. The consecutive weight increase from 0.0000% on June 17th to 1.0200% by June 23rd directly reflects the index's algorithmic response to this escalating positive sentiment. Therefore, the fund's increased allocation to IBM aligns with its strategy of holding stocks showing strong sentiment signals, captured as the stock was gaining momentum.
weight 0 → 1.020% (new)·stock up 4.7% in the 30 days before
Jun 23·entry $264.94·now $213.00Fresh
BUZZ · Weight increase · 2d
IBM, currently trading at $264.94 and 80% of its 52-week high, has experienced a +18.5% return over the past 30 days, marking a notable recent upward trajectory after a 1-year return of -4.1%. This recent price momentum, following a period of underperformance, likely correlates with a significant positive sentiment shift detected by BUZZ’s natural language processing across social media, blogs, and news. Consequently, the algorithmic sentiment tracker incorporated IBM into its portfolio on June 18th with a 0.9200% weight, further increasing it to 0.9500% by June 22nd, indicating sustained positive crowd signals. IBM’s financial summary, including a 9.67% revenue growth and a 35.53% ROE, likely contributes to the positive public discourse that BUZZ's methodology identifies.
weight 0 → 0.950% (new)·stock up 12.1% in the 30 days before
Jun 22·entry $252.22·now $213.00Fresh
LQAI · Exit · 1d
IBM's current price of $306.13, now at 93% of its 52-week high following a significant +20.6% return over 30 days, established a specific market setup for LQAI's Qraft AI engine. While the AI had gradually increased IBM's portfolio weight to 0.48% in the preceding week, aligning with its core large-cap, AI-driven methodology, this rapid appreciation likely pushed the stock past a valuation threshold. Despite generating 9.67% revenue growth and a 35.53% return on equity, the company's PER of 25.03 and PBR of 8.48, when combined with its proximity to its yearly peak, no longer fit the ETF's style which avoids heavy factor tilts, prompting its complete removal on July 7th.
weight 0.480% → 0 (exited)·stock up 1.4% in the 30 days before
Jul 7·entry $306.13·now $213.00
LQAI · Weight increase · 3d
LQAI, an ETF applying Qraft AI ranking to a US large-cap universe and rebalancing weekly, made this move by dynamically adjusting its portfolio allocations. The AI's continuous evaluation of IBM's trajectory, within its ~100 holdings, likely prompted the observed consecutive weight increase from 0.4300% to 0.4800% over recent rebalance periods. This sustained adjustment suggests the Qraft AI identifies strengthening signals for the company at its current price level, following a +18.4% 30-day return. Such an action aligns with the fund's AI-driven core large-cap style, which dynamically responds to evolving market and fundamental data without a heavy factor tilt.
weight 0.430% → 0.480% (+0.050 pp)·stock down 2.0% in the 30 days before
Jul 6·entry $299.52·now $213.00Fresh
LQAI · Weight increase · 2d
IBM’s current price of $289.52, positioned at 88% of its 52-week high and reflecting a +28.7% return over the last 30 days, suggests a strong recent upward trajectory after a more muted performance over the past year. This recent momentum, indicative of a shifting trend for a US large-cap, likely triggered positive signals within the Qraft AI ranking engine that underpins LQAI’s selection process. The Qraft AI model, which rebalances weekly and operates without a heavy factor tilt, would also have incorporated IBM's financial metrics, including its 9.67% revenue growth and 35.53% return on equity. These combined factors appear to have consistently elevated IBM's ranking, leading to the observed consecutive weight increases in LQAI’s portfolio, from 0.43% to 0.46% in early July.
weight 0.430% → 0.460% (+0.030 pp)·stock down 12.1% in the 30 days before
Jul 2·entry $289.52·now $213.00Fresh
AIEQ · Exit · 1d
The weight-change pattern shows IBM’s allocation gradually increasing in AIEQ, rising consistently from 0.43% to 0.49% over eight trading days in late June, only to be abruptly eliminated to 0.00% on July 1st. This initial, steady accumulation suggests the fund's IBM Watson NLP engine was picking up incrementally positive sentiment or fundamental signals, perhaps related to the company's 9.67% revenue growth and 35.53% ROE. However, the subsequent sudden and complete removal, occurring at a current price of $286.25 after the stock recorded a 30-day return of +28.8% and sat at 87% of its 52-week high, indicates an immediate and decisive negative shift. Given AIEQ's daily rebalancing and among the highest turnover in the AI ETF universe, this abrupt exit suggests the AI's continuous ingestion of real-time data from news, social posts, or analyst notes quickly registered a substantial change, triggering EquBot's risk overlay to divest completely, overriding any prior positive indicators.
weight 0.490% → 0 (exited)·stock down 10.7% in the 30 days before
Jul 1·entry $286.25·now $213.00
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
The AI ETFs are currently holding IBM, but recent activity shows a consistent trend of decreasing their weight in the company across multiple funds. This downward trend in AI ETF allocations aligns directionally with a 'Fail' verdict from a Buffett-style framework, suggesting a cautious or negative sentiment regarding the company's investment merits.
- Circle of CompetenceIBM's long-standing enterprise focus and recurring revenue streams from hybrid cloud and consulting offer sufficient predictability to project ten-year cash flows within the circle of competence.
- Economic MoatIBM possesses durable competitive advantages through its strong brand, high switching costs for enterprise clients, and scale-driven operational expertise.
- ManagementManagement's capital allocation discipline and candor cannot be assessed from the provided financial snapshots alone.
- Financial HealthThe provided data is insufficient to determine 10-year average ROE, stable operating margins, manageable debt, or consistently positive owner earnings, preventing a full assessment of financial health.
- Margin of SafetyWithout sufficient data to project future cash flows or fully assess financial health, a conservative estimate of intrinsic value and thus a margin of safety cannot be determined.
IBM successfully clears the hurdle of being within the circle of competence and appears to possess a durable economic moat. However, a comprehensive assessment of its financial health and management's capital allocation cannot be completed due to insufficient data, leading to a 'Fail' verdict. Consequently, a margin of safety cannot be established under these conditions.
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.