as of Jul 8
FCX
DefensiveFREEPORT-MCMORAN INC
Freeport-McMoRan Inc. engages in the mining of mineral properties in North America, South America, and Indonesia. The company primarily explores for copper, gold, molybdenum, silver, and other metals. Its assets include the Grasberg minerals district in Indonesia; Morenci, Bagdad, Safford, Sierrita, and Miami in Arizona; Chino and Tyrone in New Mexico; and Henderson and Climax in Colorado, North America, as well as Cerro Verde in Peru and El Abra in Chile.
Close · 3M
-2.81%
Held by 2 AI ETFs
as of Jul 21
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 · Weight decrease · 2d
QRFT’s recent adjustment to Freeport-McMoRan’s allocation, showing a consecutive decrease from 0.2200% to 0.2000% over two trading days, signals a measured, daily reevaluation rather than an abrupt exit. This graduated reduction in FCX, occurring as the stock trades at 86% of its 52-week high despite a -6.3% 30-day return, aligns with the Qraft AI’s method. The AI, integrating traditional factors like momentum and value with proprietary alternative-data overlays, likely detected concerns. A high PER of 32.49 and a negative revenue growth of -24.23% would detract from quality and value scores, while declining 30-day and 90-day returns would flag negative momentum. These combined signals, evaluated within QRFT’s weekly rebalancing framework for its broad large-cap core portfolio, prompted the precise scaling back of the Materials sector holding.
weight 0.220% → 0.200% (-0.020 pp)·stock down 0.2% in the 30 days before
Jun 24·entry $61.84·now $58.79
QRFT · Weight increase · 2d
QRFT, managed by Qraft AI combining traditional factors with proprietary alternative-data overlays, observed Freeport-McMoRan Inc. (FCX) with a P/E ratio of 33.85 and P/B ratio of 3.86. Despite a -24.23% revenue growth, the company maintained a 14.52% return on equity. This mix of valuation metrics and profitability, alongside recent negative revenue trends, presents a nuanced scenario for the fund's broad large-cap core selection. A consecutive weight increase for FCX occurred on June 11th and 12th, raising its allocation from 0.21% to 0.22% within QRFT, even as the stock traded at $68.41, 95% of its 52-week high of $71.72, following a significant +21.0% return over 30 days. This precise timing suggests the Qraft AI model identified forward-looking signals, potentially driven by the stock's year-long price performance of +70.4% and specific alternative data, overriding the current high valuation and recent revenue decline for this Materials sector component.
weight 0.200% → 0.220% (+0.020 pp)·stock up 1.9% in the 30 days before
Jun 12·entry $68.41·now $58.79Fresh
QRFT · New entry · 1d
weight 0 → 0.180% (new)·stock down 16.7% in the 30 days before
Mar 20·entry $52.09·now $58.79Chased
QRFT · Weight decrease · 2d
weight 0.200% → 0.180% (-0.020 pp)·stock down 14.3% in the 30 days before
Mar 19·entry $53.62·now $58.79
PQUS · New entry · 1d
weight 0 → 0.050% (new)·stock down 1.9% in the 30 days before
Jun 26·entry $62.45·now $58.79Fresh
PQUS · Exit · 1d
FCX currently trades at $62.31, near the upper end of its 52-week range at 89% of its high, following a significant +66.5% return over the past year, though it saw a -8.1% dip in the last 30 days. This valuation context, alongside a negative revenue growth of -27.98% and a PER of 40.82, likely signaled a shift within Pictet Asset Management's AI ranking system. The system, designed for US large-cap investments with a measured turnover and periodic rebalances, initiated a progressive reduction in FCX's weight. Starting from 0.0900% on May 15, the portfolio's allocation systematically declined to 0.0500% by May 21 before its complete removal on May 22, indicating a data-driven re-evaluation against the fund’s investment criteria.
weight 0.050% → 0 (exited)·stock up 0.8% in the 30 days before
May 22·entry $61.99·now $58.79
AIEQ · Exit · 1d
Freeport-McMoRan’s financial summary, showing a negative revenue growth of -24.23% combined with a high PER of 32.06 and PBR of 3.86, likely presented a less favorable fundamental profile for AIEQ's hybrid selection criteria. IBM Watson NLP, ingesting vast amounts of data including news and social posts, would have identified these fundamental concerns, potentially generating a lower daily ranking as part of EquBot’s process for its highly active portfolio. The fund's daily rebalancing mechanism led to a steady reduction in FCX's weight from 0.66% to 0.60% before its complete removal on July 1st, 2026. This divestment occurred when FCX was priced at $60.53, following a 30-day return of +3.1% but a more significant 90-day decline of -7.7%. Despite FCX's one-year return of +47.0%, the recent negative 90-day price action, coupled with the underlying fundamental figures, suggested the stock no longer warranted a position in AIEQ's 140-180 stock portfolio given its fast-moving, highest-turnover style.
weight 0.600% → 0 (exited)·stock down 9.7% in the 30 days before
Jul 1·entry $60.53·now $58.79
AIEQ · Weight decrease · 2d
AIEQ's daily rebalancing, guided by IBM Watson NLP processing news and filings, initiated a consecutive weight decrease in Freeport-McMoRan (FCX). This shift, observed as a decline from 0.67% to 0.61% between June 18 and June 25 within the fund’s 140-180 stock portfolio, suggests the AI's ranking algorithm detected worsening signals. Given FCX’s -24.23% revenue growth and its current trading price of $62.80, which is 88% of its 52-week high, the system likely flagged valuation or operational headwinds. The fund’s broad market, fundamentals-plus-sentiment hybrid approach allows it to swiftly adjust exposure to the Materials sector company based on this evolving data.
weight 0.660% → 0.610% (-0.050 pp)·stock down 2.4% in the 30 days before
Jun 25·entry $62.80·now $58.79
AIEQ · Weight decrease · 2d
AIEQ’s methodology, leveraging IBM Watson NLP to process vast amounts of daily information across thousands of US equities, likely detected a shift in the analytical signals for FCX. Given the fund’s daily rebalancing and its portfolio of 140-180 stocks, even small changes in sentiment or fundamental indicators can trigger immediate adjustments. The observed consecutive weight decrease for FCX, occurring after the stock delivered a +65.6% return over the past year and now trades near its 52-week high, suggests the AI may be re-evaluating future prospects. This re-evaluation could stem from the company’s negative revenue growth of -24.23%, potentially flagged by the system’s continuous ingestion of news and analyst commentary.
weight 0.680% → 0.660% (-0.020 pp)·stock up 17.0% in the 30 days before
Jun 21·entry $69.21·now $58.79
AIEQ · Accumulation · 5d
Despite FCX reporting a -24.23% revenue growth, its 14.52% Return on Equity and Price-to-Earnings ratio of 33.85 represent a mixed fundamental picture that AIEQ's IBM Watson NLP system processes alongside market sentiment. The gradual accumulation of FCX within AIEQ's portfolio, from 0.6200% to 0.6800% between June 9th and June 17th, indicates that Watson's analysis of news, filings, and social posts detected an evolving positive sentiment or underlying catalyst. This increase occurred as FCX's price reached $69.06, sitting at 96% of its 52-week high and after a 13.4% return in the prior 30 days, suggesting the algorithm identified reasons to build exposure even after significant recent gains. Given AIEQ's daily rebalancing and high turnover, this consistent addition of FCX reflects a persistent positive signal from EquBot's risk overlay, converting Watson's daily ranking into sustained position adjustments.
weight 0.620% → 0.680% (+0.060 pp)·stock up 14.1% in the 30 days before
Jun 17·entry $69.06·now $58.79Fresh
AIEQ · Weight increase · 2d
AIEQ's daily rebalancing process, managed by EquBot and powered by IBM Watson NLP, likely detected a sustained positive sentiment trend for Freeport-McMoRan across news, analyst reports, and social posts. Despite the company's recent -24.23% revenue growth, the fund's sophisticated selection method, which analyzes thousands of US equities, appears to be signaling an improving outlook for the Materials sector or FCX specifically. This consistent positive ranking then translated into a gradual increase in the stock's allocation within AIEQ's 140-180 security portfolio, moving from 0.62% to 0.66% over the recent period. This shift reflects the stock’s strong price performance, having achieved a +21.0% return over the last 30 days, while trading at $68.41, close to its 52-week high.
weight 0.620% → 0.660% (+0.040 pp)·stock up 1.9% in the 30 days before
Jun 14·entry $70.13·now $58.79Fresh
AIEQ · Weight decrease · 2d
weight 0.680% → 0.620% (-0.060 pp)·stock up 4.1% in the 30 days before
Jun 7·entry $63.91·now $58.79
AIEQ · New entry · 1d
FCX's Price-to-Earnings ratio of 34.56, Price-to-Book of 3.86, and 14.52% Return on Equity indicate its valuation and profitability, while a recent -24.23% revenue growth presents a challenge that a purely fundamental approach might scrutinize. However, AIEQ’s distinctive "fundamentals + sentiment hybrid" style, driven by IBM Watson NLP's analysis of news, filings, and social posts, likely detected an improving outlook or specific positive signals for the Materials sector company, overriding the negative revenue trend. The new 0.6300% entry on May 30 followed FCX's 30-day return of -6.4%, positioning the purchase on a recent dip from its nearly 52-week high of $70.36, even as the stock had appreciated 72.8% over the past year. This timely daily rebalancing, characteristic of AIEQ's high-turnover mandate, suggests the IBM Watson-powered ranking identified favorable sentiment or fundamental shifts for Freeport-McMoRan, despite the commodity company’s current price remaining at 93% of its 52-week peak.
weight 0 → 0.630% (new)·stock up 15.4% in the 30 days before
May 30·entry $67.04·now $58.79Fresh
AIEQ · Exit · 1d
The AI likely removed FCX due to its high valuation (PER 36.88, PBR 3.86) in stark contrast with significant revenue decline (-27.98%). This suggests the algorithm quickly identified an unfavorable risk-reward profile based on fundamental deterioration. Retail investors should heed such rapid AI divestitures as a signal to scrutinize high-multiple stocks facing negative growth, emphasizing the importance of aligning valuation with fundamental performance.
weight 0.140% → 0 (exited)·stock down 7.6% in the 30 days before
May 3·entry $55.57·now $58.79
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
AI ETFs, specifically AIEQ, are actively holding and showing recent fluctuating interest in Freeport-McMoRan, including a recent weight increase trend. This contrasts with the Buffett-style framework's verdict of 'Too Hard,' which would decline to analyze or invest in the company due to the inherent unpredictability of commodity prices, regardless of current AI sentiment or price.
- Circle of CompetenceAs a commodity producer, Freeport-McMoRan's unit economics are highly susceptible to volatile market prices, making reliable ten-year cash flow projections too difficult for this framework.
- Economic MoatThis stage was not evaluated because the company falls outside the circle of competence due to the unpredictability of its commodity-driven earnings.
- ManagementThis stage was not evaluated because the company falls outside the circle of competence, preventing further analysis within this framework.
- Financial HealthThis stage was not evaluated because the company falls outside the circle of competence, making financial performance projections unreliable.
- Margin of SafetyThis stage was not evaluated because an intrinsic value estimate cannot be reliably determined for a business deemed outside the circle of competence.
Freeport-McMoRan is deemed 'Too Hard' to evaluate within a Buffett-style framework because its nature as a commodity producer places it outside the required circle of competence. The inherent volatility in commodity prices makes long-term cash flow predictability unreliable, thus disqualifying it from further analysis. This framework would bypass the company entirely, irrespective of other business characteristics or market 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.