AIEQ0.060%
as of Jul 20
LYB
DefensiveLYONDELLBASELL INDUSTRIES N.V.
LyondellBasell Industries N.V. operates as a chemical company in the United States, Germany, China, Mexico, Italy, Japan, France, Poland, the Netherlands, and internationally. It operates in five segments: Olefins and PolyolefinsAmericas; Olefins and PolyolefinsEurope, Asia, International; Intermediates and Derivatives; Advanced Polymer Solutions; and Technology. The company produces and markets olefins and co-products, such as ethylene, aromatics, propylene and butadiene; polyolefins; polyethylene; polypropylene homopolymers and copolymers; propylene oxide and derivatives; oxyfuels and related products; and intermediate chemicals, such as styrene monomer and acetyls.
Close · 3M
-9.11%
Held by 2 AI ETFs
QRFT0.040%
as of Jul 8
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 signals3
Win rate33% (1/3)
Avg buy return-8.25%
AIEQ · New entry · 1d
weight 0 → 0.050% (new)·stock down 21.7% in the 30 days before
Jul 1·entry $52.58·now $60.73Chased
+15.50%
since Jul 1
AIEQ · Exit · 1d
LYB's financial summary, showing a -22.02% revenue growth and a -7.41% ROE, presented fundamental headwinds for its continued inclusion in AIEQ's portfolio, which emphasizes a fundamentals + sentiment hybrid style. Even with a 90-day price return of +28.6% bringing the stock to 81% of its 52-week high, IBM Watson's daily NLP processing of thousands of data points likely detected a shift in sentiment or persistent negative signals within the Materials sector. The observed pattern of a slight reduction in weight from 0.3200% to 0.2900% between May 20th and May 28th, culminating in a full exit on May 30th at a price of $66.65, indicates the system's rapid response to these evolving inputs, driving one of the highest-turnover funds in the AI ETF universe to divest.
weight 0.290% → 0 (exited)·stock down 9.1% in the 30 days before
May 30·entry $67.14·now $60.73
-9.55%
since May 30
AIEQ · Weight decrease · 2d
The AI-managed ETF likely initiated consecutive weight decreases for LYB due to its significantly negative revenue growth and concerningly negative return on equity, signaling a deterioration in fundamental business health. Retail investors should view such AI-driven de-risking as a strong indicator to re-evaluate their own exposure to stocks exhibiting similar worsening financial performance and consider reducing their holdings.
weight 0.340% → 0.310% (-0.030 pp)·stock down 0.7% in the 30 days before
May 8·entry $71.76·now $60.73
-15.37%
since May 8
AIEQ · New entry · 1d
The AI ETF likely entered LYB as a deep value play, indicated by its very low PER and PBR, despite recent negative revenue growth and ROE. The algorithm may be forecasting a rebound in the basic materials sector or a turnaround for the company, making it an attractive contrarian bet. For retail investors, this illustrates that AI funds can identify potential value in companies with distressed current financials, betting on a future recovery. This highlights that low valuation multiples, even amidst poor performance, can signal an opportunity if a turnaround is anticipated.
weight 0 → 0.330% (new)·stock down 2.2% in the 30 days before
May 3·entry $76.04·now $60.73Fresh
-20.13%
since May 3
QRFT · New entry · 1d
The AI likely initiated a small position in LYB due to its attractive valuation, with low P/E and P/B ratios, potentially anticipating a cyclical turnaround in the Materials sector despite current negative revenue growth and ROE. Retail investors should recognize that AI funds may take speculative positions in deeply undervalued stocks with weak fundamentals, signaling a potential turnaround play that warrants thorough individual research into underlying industry trends and company-specific catalysts.
weight 0 → 0.060% (new)·stock down 4.5% in the 30 days before
May 4·entry $76.04·now $60.73Fresh
-20.13%
since May 4
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 4
The AI ETF AIEQ has initiated a new position in LyondellBasell, indicating an algorithmic decision to enter or accumulate shares. This action stands in direct contrast to the framework's 'Too Hard' verdict, which suggests the company's future earning power is too unpredictable for value investing analysis. The framework's assessment suggests the AI may be operating on shorter-term signals or different valuation methodologies that accept higher uncertainty.
- Circle of CompetenceThe highly cyclical nature of the basic materials and specialty chemicals industry, with significant exposure to volatile commodity prices and demand, makes ten-year cash flow projections inherently unpredictable.
- Economic MoatCannot assess a durable economic moat as the business falls outside the circle of competence for reliable long-term projection.
- ManagementCannot assess management qualities as the business falls outside the circle of competence for reliable long-term projection.
- Financial HealthCannot assess financial health as the business falls outside the circle of competence for reliable long-term projection.
- Margin of SafetyCannot determine a margin of safety as the business falls outside the circle of competence for reliable long-term projection.
LyondellBasell's position in the cyclical basic materials and specialty chemicals industry makes its long-term unit economics too unpredictable to reliably project cash flows for a decade, leading to a 'Too Hard' verdict within this value investing framework. Consequently, further analysis of its economic moat, management, financial health, or margin of safety is deemed impractical. The fundamental unpredictability prevents a confident assessment of its intrinsic value.
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.