VMC

AIEQ · Exit · 1d

VMC’s weight in AIEQ demonstrated a brief stability around 0.53-0.55% before a quick reduction to 0.53% and then a decisive removal from the portfolio on July 1. This rapid exit, following a period where VMC delivered a 30-day return of +13.7% while trading at 89% of its 52-week high, reflects AIEQ's daily rebalancing and high-turnover approach, driven by IBM Watson's NLP insights. Given the fund's broad market, fundamentals + sentiment hybrid style, the AI likely detected a shift in sentiment or a change in fundamental outlook, perhaps reconsidering the valuation metrics like a PER of 35.24 or a PBR of 4.42, despite a 7.41% revenue growth. Such an abrupt portfolio adjustment indicates the EquBot risk overlay responded swiftly to new information processed from a wide array of sources, deeming the stock no longer suitable for inclusion, despite its recent short-term price appreciation.

weight 0.530% → 0 (exited)·stock up 4.8% in the 30 days before

Jul 1·entry $295.03·now $291.89

AIEQ · Sudden change · 1d

AIEQ, driven by IBM Watson's daily natural language processing across thousands of US equities, likely identified a significant positive shift in market sentiment or fundamental outlook for VULCAN MATERIALS CO. Given the fund's strategy of rebalancing daily and maintaining a portfolio of 140-180 US stocks, this strong signal prompted a rapid and substantial increase in VMC's weight from 0.07% to 0.49%. This accumulation occurred while VMC was trading at $282.92, roughly 86% of its 52-week high and following a -3.0% 30-day return, suggesting the AI's risk overlay perceived an emerging opportunity or undervaluation in the stock. The model likely processed new information that bolstered conviction in VMC's prospects, perhaps re-evaluating the implications of its 7.41% revenue growth within the Materials sector.

weight 0.070% → 0.490% (+0.420 pp)·stock down 4.4% in the 30 days before

May 30·entry $281.56·now $291.89

AIEQ · Sudden change · 1d

The AI ETF likely initiated the sudden large weight in VMC based on a detected short-term positive catalyst or momentum signal, possibly related to specific sector news like infrastructure spending. The subsequent swift reduction indicates the AI quickly exited the position, either having met its short-term profit target or detecting a rapid reversal in those initial positive signals. For retail investors, this illustrates that AI ETFs operate on highly reactive, data-driven, short-term strategies; attempting to mirror such rapid entries and exits without the same real-time analytical capabilities is extremely challenging and often leads to mistiming.

weight 0.580% → 0.070% (-0.510 pp)·stock up 6.1% in the 30 days before

May 3·entry $287.72·now $291.89

QRFT · Exit · 1d

Qraft Technologies’ AI, which blends traditional factors with proprietary alternative data, prompted the removal of VMC from QRFT's portfolio during its weekly rebalance. The AI models likely flagged the stock's declining short-term price momentum, evidenced by its 30-day return of -3.1%. Within QRFT's actively managed approximately 300 US large-cap holdings, such a pattern can indicate a shifting opportunity cost. This recent price action, combined with VMC's relatively high PER of 32.85, likely diminished its attractiveness compared to other potential constituents under the fund's broad large-cap core style.

weight 0.080% → 0 (exited)·stock down 5.2% in the 30 days before

Jun 2·entry $281.84·now $291.89

QRFT · Exit · 1d

weight 0.090% → 0 (exited)·stock down 5.4% in the 30 days before

Apr 2·entry $279.88·now $291.89

QRFT · Exit · 1d

weight 0.080% → 0 (exited)·stock down 13.6% in the 30 days before

Mar 23·entry $263.75·now $291.89

QRFT · Exit · 1d

weight 0.080% → 0 (exited)·stock down 14.7% in the 30 days before

Mar 20·entry $258.40·now $291.89