AIEQ0.200%
as of Jul 20
ODFL
DefensiveOLD DOMINION FREIGHT LINE INC
Old Dominion Freight Line, Inc. operates as a less-than-truckload motor carrier in the United States and North America. The company offers regional, inter-regional, and national less-than-truckload services, as well as expedited transportation services. It also provides various value-added services, including container drayage, truckload brokerage, and supply chain consulting.
Close · 3M
+17.51%
Held by 2 AI ETFs
QRFT0.100%
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 signals4
Win rate100% (4/4)
Avg buy return+16.27%
AIEQ · Sudden change · 1d
ODFL presents a PER of 46.48 and a PBR of 7.61, indicating a valuation at the higher end, especially juxtaposed with its -4.77% revenue growth, despite a 23.42% ROE. AIEQ's IBM Watson NLP engine, which incorporates fundamentals and sentiment from diverse sources, likely flagged these elevated valuation metrics and the declining revenue trend. The fund's risk overlay initiated the significant reduction in ODFL weight from 0.6300% to 0.1200% on May 30th, precisely as the stock hit its 52-week high of $225.15 following a substantial 90-day return of +26.2%. This daily rebalance by the broad market, high-turnover fund reflects a sentiment shift or a re-evaluation of ODFL's risk-reward profile at its current peak price level.
weight 0.630% → 0.120% (-0.510 pp)·stock up 7.5% in the 30 days before
May 30·entry $228.53·now $231.76
+1.41%
since May 30
AIEQ · Weight increase · 2d
ODFL, currently trading at $220.86, sits at 98% of its 52-week high after seeing a nearly 30% return over the past 90 days, a price trajectory AIEQ's sentiment-driven AI model would actively monitor. The consistent, small increases in ODFL's weighting, from 0.60% to 0.63%, indicate that IBM Watson's NLP engine likely detected a sustained influx of positive sentiment from news, analyst commentary, or social posts, offsetting concerns like its -4.77% revenue growth. This behavior suggests the AI's daily rankings are factoring in ODFL's 23.42% ROE alongside continuous positive sentiment signals, which collectively outweigh valuation metrics such as its Price-to-Earnings ratio of 46.0. AIEQ's daily rebalancing and high-turnover strategy permit such incremental adjustments, allowing the fund to dynamically scale exposure based on evolving market narratives identified by its hybrid fundamental and sentiment analysis.
weight 0.610% → 0.630% (+0.020 pp)·stock down 0.4% in the 30 days before
May 28·entry $220.86·now $231.76Drifting
+4.94%
since May 28
AIEQ · Weight increase · 2d
The pattern observed in AIEQ's position in ODFL reveals a subtle but consistent upward adjustment, specifically a two-basis-point increase each time across recent trading days, shifting from 0.55% to 0.59%. This gradual, stepped accretion aligns with the fund's daily rebalancing and high-turnover mandate, indicating IBM Watson's continuous processing of new information is generating sustained, incrementally positive signals for the Industrials sector stock. Despite ODFL trading at 91% of its 52-week high and exhibiting negative revenue growth, the AI-driven system likely identifies strengthening sentiment in news, social posts, or analyst commentary, complementing its high return on equity of 23.42%. Watson's NLP engine, ingesting a vast array of textual data, appears to be detecting nuanced positive shifts that outweigh a lofty PER of 41.94, leading EquBot's risk overlay to marginally increase exposure to the freight line company at this elevated price point.
weight 0.550% → 0.590% (+0.040 pp)·stock down 4.9% in the 30 days before
May 17·entry $204.13·now $231.76Chased
+13.54%
since May 17
AIEQ · Weight decrease · 2d
The AI ETF likely initiated consecutive weight decreases in ODFL due to its elevated valuation multiples (PER 41.47, PBR 7.61) clashing with negative revenue growth (-4.77%). This suggests the AI is de-risking by reducing exposure to an expensive stock with declining top-line performance. Retail investors should heed such signals by reviewing their own holdings for similar valuation and growth mismatches, prioritizing sustainable growth over past profitability to avoid potential downside risks.
weight 0.580% → 0.550% (-0.030 pp)·stock down 3.1% in the 30 days before
May 14·entry $198.81·now $231.76
+16.57%
since May 14
AIEQ · Sudden change · 1d
The AI ETF likely increased its ODFL weight due to processing a sudden positive market catalyst or proprietary real-time data indicating an improved outlook around May 3rd, overriding earlier concerns about its high valuation and negative revenue growth. This rapid reversal highlights the AI's ability to act on dynamic, perhaps non-traditional, data sources that can quickly shift an investment thesis. For retail investors, it underscores the importance of staying abreast of real-time sector news and understanding that even fundamentally expensive stocks can experience swift re-evaluations based on new developments.
weight 0.220% → 0.610% (+0.390 pp)·stock up 3.1% in the 30 days before
May 3·entry $192.18·now $231.76
+20.60%
since May 3
QRFT · New entry · 1d
The AI likely added ODFL due to its exceptional operational efficiency and profitability, evidenced by an impressive 24.03% Return on Equity, which signals a strong, well-managed business despite current negative revenue growth and high valuation multiples. For retail investors, this highlights that sophisticated AI models often prioritize deep fundamental strengths like superior ROE, prompting a deeper look into a company's underlying business quality beyond just revenue trends or traditional value ratios.
weight 0 → 0.090% (new)·stock down 2.9% in the 30 days before
May 4·entry $192.18·now $231.76Chased
+20.60%
since May 4
QRFT · Exit · 1d
weight 0.100% → 0 (exited)·stock down 8.4% in the 30 days before
Apr 2·entry $198.00·now $231.76
+17.05%
since Apr 2
QRFT · Exit · 1d
weight 0.090% → 0 (exited)·stock down 6.8% in the 30 days before
Mar 23·entry $187.70·now $231.76
+23.47%
since Mar 23
QRFT · New entry · 1d
weight 0 → 0.090% (new)·stock down 5.8% in the 30 days before
Mar 20·entry $183.92·now $231.76Chased
+26.01%
since Mar 20
QRFT · Exit · 1d
weight 0.090% → 0 (exited)·stock down 5.8% in the 30 days before
Mar 20·entry $183.92·now $231.76
+26.01%
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
Fails the frameworkas of May 18
AI ETFs show mixed to slightly positive activity, with QRFT initiating a new position and AIEQ experiencing recent fluctuations but a net increase in weight over the recent period. This accumulation by AI ETFs contrasts with the value investing framework's 'Fail' verdict, which is primarily driven by valuation concerns and insufficient historical financial data to meet strict criteria.
- Circle of CompetenceThe established Less-Than-Truckload (LTL) freight industry allows for reasonably predictable unit economics and long-term cash flow projections for a dominant operator.
- Economic MoatOld Dominion Freight Line benefits from a strong network effect and scale-driven cost advantage in the LTL industry, creating a durable competitive moat.
- ManagementThe provided data does not offer sufficient information to assess management's candor, capital allocation discipline, or skin in the game.
- Financial HealthWhile the most recent ROE of 23.42% is strong, the provided data is insufficient to assess the 10-year average ROE, historical operating margins, debt levels, or owner earnings stability as required by the framework.
- Margin of SafetyCurrent valuation multiples, including a PER of 41.94 and EV/EBITDA of 41.26, indicate a high price that leaves no discernible margin of safety relative to a conservative estimate of intrinsic value.
Old Dominion Freight Line operates in a predictable industry with a strong economic moat, aligning well with the initial stages of the value investing framework. However, a comprehensive assessment of financial health is hampered by insufficient historical data, and the current high valuation multiples indicate a distinct lack of margin of safety. Consequently, the company fails to meet the stringent criteria for investment under this framework despite its qualitative strengths.
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.