AIEQ1.540%
as of Jul 20
TSN
DefensiveTYSON FOODS INC A
Tyson Foods, Inc., together with its subsidiaries, operates as a food company worldwide. It operates through four segments: Beef, Pork, Chicken, and Prepared Foods. The company processes live fed cattle and hogs; fabricates dressed beef and pork carcasses into primal and sub-primal meat cuts, as well as case ready beef and pork, and fully cooked meats; raises and processes chickens into fresh, frozen, and value-added chicken products, including breaded chicken strips, nuggets, patties, and other ready-to-fix or fully cooked chicken parts; and supplies poultry breeding stock.
Close · 3M
-9.94%
Held by 1 AI ETF
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 signals4
Win rate0% (0/4)
Avg buy return-0.58%
AIEQ · Weight increase · 2d
Tyson Foods' weighting in AIEQ shows minor daily adjustments, culminating in a recent uptick from 1.53% to 1.54% at the end of the observed period. This granular, daily rebalancing aligns precisely with AIEQ's nature as a high-turnover fund that rebalances positions every day. Rather than reflecting a sudden fundamental re-rating given its 44.01 PER and 2.5% ROE, the slight increase suggests that IBM Watson's NLP engine is detecting an accumulating positive sentiment signal for the consumer staples company. The stock’s current $57.77 price, following a 30-day return of -6.8%, places it at a point where the AI's sentiment analysis might be identifying a reversal or stabilization in perception after recent declines. This incremental accumulation, driven by NLP analysis of news, filings, and social posts, demonstrates AIEQ's core methodology of marrying fundamental data with dynamic sentiment shifts to inform its broad market portfolio decisions.
weight 1.510% → 1.540% (+0.030 pp)·stock up 2.3% in the 30 days before
Jul 19·entry $58.00·now $58.00Fresh
0.00%
since Jul 19
AIEQ · Weight decrease · 2d
AIEQ has shown a gradual, step-wise reduction in its TSN weight, decreasing from 1.57% to 1.51% over eight trading days, interspersed with minor plateaus. This subtle, yet persistent, decrease reflects the fund's daily rebalancing mechanism and high-turnover approach, driven by IBM Watson's continuous NLP analysis of market data. The observed re-positioning against TSN’s current price of $57.83, following a 30-day return of -12.4% and considering its 2.5% ROE and 44.28 PER, indicates the AI system is responding to a combination of recent price depreciation and a valuation that may appear stretched relative to earnings. Such a controlled reduction underscores AIEQ's hybrid strategy, which integrates evolving sentiment signals with fundamental data to manage positions dynamically, rather than making sudden, drastic shifts, particularly as TSN trades within 84% of its 52-week high.
weight 1.540% → 1.510% (-0.030 pp)·stock up 1.5% in the 30 days before
Jul 16·entry $57.83·now $58.00
+0.29%
since Jul 16
AIEQ · Weight decrease · 2d
TSN currently trades at $57.83, settling at 84% of its 52-week high, following a -13.1% decline over the last 30 days and a -8.8% drop in 90 days, contrasting with its +6.3% one-year return. This recent price depreciation, likely influenced by shifts in public perception or news, would be captured by AIEQ's IBM Watson NLP engine, which processes news, analyst notes, and social posts. Furthermore, a price-to-earnings ratio of 44.28 paired with a return on equity of 2.5% and 4.19% revenue growth could signal to EquBot's risk overlay that the stock's valuation is stretched relative to its underlying fundamentals. Consequently, AIEQ, known for its daily rebalancing and high portfolio turnover, registered a consecutive weight decrease from 1.57% down to 1.53% between July 7th and July 11th, adjusting its exposure to reflect these evolving inputs.
weight 1.570% → 1.530% (-0.040 pp)·stock down 3.0% in the 30 days before
Jul 11·entry $57.92·now $58.00
+0.14%
since Jul 11
AIEQ · Weight increase · 2d
The fund initiated a significant, stepped position in Tyson Foods, moving from zero weight to 1.53% on July 1st, then slightly adding to it two days later for a total of 1.57%. This rapid allocation to TSN, occurring after its stock price saw a 12.0% decline over the previous 30 days to $58.89, points to AIEQ’s IBM Watson NLP engine detecting a specific catalyst. With its mandate to ingest news, filings, and social posts, the sentiment and fundamental hybrid model likely pinpointed an opportune entry, potentially valuing the company at its current PBR of 1.06. This quick adjustment to a new holding, despite a 44.71 PER and 2.5% ROE, aligns with EquBot's high-turnover, daily rebalancing approach, where new signals are rapidly converted into portfolio positions.
weight 0 → 1.570% (new)·stock down 9.6% in the 30 days before
Jul 3·entry $58.75·now $58.00Fresh
-1.28%
since Jul 3
AIEQ · New entry · 1d
TSN experienced a notable 13.4% decline in its 30-day return, trading at $58.43, positioning it at 85% of its 52-week high before AIEQ initiated a 1.5300% position on July 1, 2026. This recent price depreciation, following a modest 5.5% one-year return, likely triggered a deeper analysis by the IBM Watson NLP engine, which daily ingests vast amounts of news, filings, and social posts. The system, operating as a fundamentals-plus-sentiment hybrid, identified a compelling shift in sentiment or underlying textual data for Tyson Foods, perhaps viewing the current price dip as an opportune entry point, even with a PER of 44.71 and ROE of 2.5%. AIEQ's strategy of daily rebalancing and its high turnover portfolio, alongside the initial 1.5300% allocation, demonstrates the AI's conviction derived from its sophisticated analysis, allowing it to act swiftly on perceived changes in market dynamics for stocks like this consumer staples company.
weight 0 → 1.530% (new)·stock down 10.2% in the 30 days before
Jul 1·entry $58.43·now $58.00Fresh
-0.74%
since Jul 1
AIEQ · Exit · 1d
The AI ETF likely removed Tyson Foods due to its extremely high Price-to-Earnings ratio of 109.87 paired with a very low Return on Equity of 1.1%, indicating significant overvaluation relative to its poor profitability. This short holding period suggests the AI quickly re-evaluated the stock's fundamentals and deemed it an inefficient capital allocation. A practical takeaway for retail investors is to always scrutinize valuation multiples in conjunction with profitability metrics, avoiding stocks where high valuations are unsupported by strong financial performance.
weight 0.710% → 0 (exited)·stock down 1.0% in the 30 days before
May 3·entry $68.75·now $58.00
-15.64%
since May 3
QRFT · Exit · 1d
The portfolio’s sudden cessation of its 0.0400% allocation to Tyson Foods on June 2, 2026, reflects an abrupt removal rather than a gradual reduction from its holdings. Qraft AI, employing its blend of traditional factors like value, momentum, and quality, likely identified a significant divergence in TSN’s metrics. The company's PER of 45.8 and a low ROE of 2.5% suggest a challenged quality and valuation profile for the Consumer Staples firm. This fundamental assessment, coupled with the stock’s recent -7.7% 30-day return at a price point of $59.59, probably signaled to the AI a clear breach of its inclusion criteria. Given QRFT’s broad large-cap core strategy with an AI tilt and weekly rebalancing cadence, such a decisive exit suggests the proprietary alternative-data overlays also aligned with the negative signals from traditional factors, leading to the full divestment.
weight 0.040% → 0 (exited)·stock down 6.4% in the 30 days before
Jun 2·entry $59.59·now $58.00
-2.67%
since Jun 2
QRFT · New entry · 1d
weight 0 → 0.040% (new)·stock down 9.6% in the 30 days before
Mar 20·entry $58.18·now $58.00Fresh
-0.31%
since Mar 20
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 AIEQ ETF recently entered a new position in Tyson Foods and has shown fluctuating weight, suggesting the AI finds it an investable opportunity. This stands in direct contrast to our framework's verdict of 'Too Hard,' which indicates the business is too unpredictable for a long-term value assessment.
- Circle of CompetenceThe commodity nature of meat processing, subject to volatile input costs, disease outbreaks, and cyclical demand, makes 10-year cash flow projections inherently unpredictable.
- Economic MoatThis stage cannot be evaluated as the company fails the circle of competence criterion.
- ManagementThis stage cannot be evaluated as the company fails the circle of competence criterion.
- Financial HealthThis stage cannot be evaluated as the company fails the circle of competence criterion.
- Margin of SafetyThis stage cannot be evaluated as the company fails the circle of competence criterion.
Tyson Foods operates in a highly cyclical and commodity-exposed industry, which renders its future earning power too unpredictable for long-term cash flow projection within this value-investing framework. The inherent volatility in input costs and market prices, coupled with biological risks, places it firmly outside the circle of competence. While an AI ETF holds a position, this analysis deems the company 'Too Hard' to evaluate further, irrespective of its price or other characteristics.
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.