Last refreshed: July 21, 2026 (US ET)
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WSM

Growth

WILLIAMS-SONOMA INC

Consumer Discretionary·Homefurnishing RetailYield: Mid (1-3%)

Williams-Sonoma, Inc. operates as an omni-channel specialty retailer of various products for home the United States and internationally. The company provides cooking, dining, and entertaining products, such as cookware, tools, electrics, cutlery, tabletop and bar, outdoor, furniture, and a library of cookbooks. It offers home furnishings, home decor products and accessories, bedding, lighting, rugs, table essentials, kids accessories, made-to-order lighting, hardware, personalized products, custom gifts, and vintage-inspired heirloom products.

Close · 3M

+18.61%

WSM · 3M

+18.61%

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Held by 3 AI ETFs

AIEQ3.170%

as of Jul 20

QRFT0.060%

as of Jul 8

PQUS0.030%

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.

Buy signals11
Win rate64% (7/11)
Avg buy return+8.02%
AIEQnow 3.170% of fund10 signals

AIEQ · Weight increase · 4d

AIEQ’s daily rebalancing mechanism, driven by IBM Watson NLP processing thousands of US equities, allowed it to react swiftly to evolving signals for WSM. The sustained weight increase from 3.00% to 3.17% indicates that the AI’s hybrid fundamentals and sentiment model detected reinforcing positive factors. This likely focused on WSM’s strong profitability, as evidenced by its 53.29% ROE, alongside any positive sentiment shifts from news or social posts. Even with WSM trading at $228.41, nearing its 52-week high, the system continued to allocate more capital, suggesting it found compelling reasons to maintain exposure.

weight 3.000% → 3.170% (+0.170 pp)·stock up 0.5% in the 30 days before

Jul 19·entry $223.34·now $223.34Fresh

0.00%
since Jul 19

AIEQ · Weight increase · 3d

WSM's financial summary, showing a 53.29% Return on Equity and a Price-to-Earnings ratio of 24.61, contributed to AIEQ's broad market, fundamentals-plus-sentiment investment style. The IBM Watson NLP engine, tasked with ingesting vast quantities of financial text, detected signals that translated into consecutive weight increases for WSM within AIEQ's portfolio, climbing from 3.03% to 3.12% between July 15th and 17th, 2026. This occurred while WSM traded around $228.41, having already delivered a 9.8% 30-day return and nearing its 52-week high, indicating the AI's conviction despite the stock's elevated price point. AIEQ's design, rebalancing daily and among the highest-turnover funds, facilitated this rapid allocation change based on the continuous flow of positive data.

weight 3.000% → 3.120% (+0.120 pp)·stock up 0.5% in the 30 days before

Jul 17·entry $228.41·now $223.34Fresh

-2.22%
since Jul 17

AIEQ · Weight increase · 2d

Amplify ETFs' AIEQ, managed by EquBot, relies on IBM Watson NLP to ingest vast data, generating a daily ranking for its 140-180 US stock portfolio. The fund's accumulation in Williams-Sonoma (WSM), evidenced by its weight rising from 3.00% on July 14th to 3.05% by July 16th, suggests the AI's daily rebalancing mechanism is detecting favorable signals. This persistent positioning occurs as WSM trades at 95% of its 52-week high, indicating the algorithm interprets this strong market performance and the company's 53.29% return on equity as drivers for further upside. EquBot's dynamic selection method is clearly prioritizing WSM within its broad market scan.

weight 3.000% → 3.050% (+0.050 pp)·stock up 2.3% in the 30 days before

Jul 16·entry $228.38·now $223.34Fresh

-2.21%
since Jul 16

AIEQ · Weight decrease · 3d

WSM is currently trading at $219.77, near 92% of its 52-week high of $240.17, following a year of strong appreciation that saw its price rise 35.7%. Given AIEQ's reliance on IBM Watson NLP to process vast amounts of unstructured data daily for sentiment and fundamental shifts, this consecutive weight decrease from 3.21% to 3.03% in early July 2026 suggests the system detected a moderating outlook for WSM, a consumer discretionary company. Despite WSM’s 53.29% ROE and revenue growth of 1.3%, the current PER of 23.68 and PBR of 12.27, coupled with its elevated price level, likely signaled that the AI identified diminishing positive sentiment or a shift in market perception regarding its valuation. This high-turnover fund, known for daily rebalancing, acted on these detected signals, indicating the AI's real-time adjustment to a company trading near its peak after considerable gains, where even a slight dip in sentiment can trigger a tactical reduction.

weight 3.160% → 3.030% (-0.130 pp)·stock up 8.5% in the 30 days before

Jul 9·entry $219.77·now $223.34

+1.62%
since Jul 9

AIEQ · Weight decrease · 2d

Williams-Sonoma (WSM) is currently priced at $218.32, placing it at 91% of its 52-week high after a 10.1% gain over the last 30 days and a 37.4% increase across the past year. AIEQ, a fund known for its daily rebalancing and high turnover driven by IBM Watson NLP processing real-time market information, initiated a 3.21% position in WSM on July 1st but then consistently reduced its weight daily to 3.09% by July 8th. This gradual reduction suggests the AI’s ranking system, which blends fundamentals and sentiment, detected a shift in its outlook for WSM following its rapid ascent to near its 52-week peak. The AI likely weighed the stock's high PER of 24.58 and PBR of 12.27 against a 1.3% revenue growth, even with a 53.29% ROE, leading to de-risking given the recent price run-up. Such nuanced, daily portfolio adjustments are indicative of AIEQ’s strategy to dynamically respond to evolving conditions captured from its extensive data ingestion, rather than solely reacting to price momentum.

weight 3.160% → 3.090% (-0.070 pp)·stock up 6.5% in the 30 days before

Jul 8·entry $218.32·now $223.34

+2.30%
since Jul 8

AIEQ · New entry · 1d

The fund initiated a significant, sudden entry into WSM on July 1st, moving from zero allocation to 3.21% following several days of no position. This stepped allocation aligns with AIEQ's daily rebalancing and high-turnover strategy, suggesting that IBM Watson NLP likely identified a potent combination of positive sentiment or fundamental indicators in the days leading up to the trade. The timing coincides with WSM trading at 95% of its 52-week high and delivering a 30-day return of +32.8%, indicating a strong recent upward trend. Watson's ingestion of news, filings, and social posts would have registered this accelerated momentum, potentially driving WSM higher in the daily ranking processed by EquBot's risk overlay. While revenue growth is 1.3%, WSM's 53.29% Return on Equity provides a strong underlying fundamental pillar for this sentiment-driven allocation, fitting the fund’s broad market, fundamentals + sentiment hybrid approach.

weight 0 → 3.210% (new)·stock up 12.9% in the 30 days before

Jul 1·entry $228.15·now $223.34Fresh

-2.11%
since Jul 1

AIEQ · Exit · 1d

Williams-Sonoma currently trades at $203.57, positioning it at 92% of its 52-week high, despite a 90-day return of -5.6%, a trajectory the IBM Watson NLP engine used by AIEQ likely weighs alongside its 1-year return of +17.1%. The removal from AIEQ's portfolio on May 30th, after holding a 0.34% weight, suggests the AI’s sentiment analysis of news, filings, and social posts might have flagged concerns, perhaps finding WSM's 1.3% revenue growth insufficient to justify its 21.19 PER or 12.27 PBR at its elevated price. AIEQ's daily rebalancing and high-turnover approach mean even a slight negative shift in the algorithm's daily ranking, influenced by updated sentiment indicators, can trigger a full divestment, overriding the positive 30-day price movement for this Consumer Discretionary stock.

weight 0.340% → 0 (exited)·stock up 12.4% in the 30 days before

May 30·entry $202.14·now $223.34

+10.49%
since May 30

AIEQ · Weight increase · 2d

AIEQ recently initiated a precise, two-step weight increase for WSM, elevating its position from 0.29% on May 19 to 0.33% by May 22, following earlier fluctuations. This rapid upward adjustment, characteristic of the fund’s daily rebalancing and high-turnover strategy, suggests IBM Watson's NLP engine detected a material shift in sentiment or underlying data at a time WSM’s stock, priced at $192.50, had seen short-term declines. The system appears to have identified a compelling entry point near 87% of WSM's 52-week high, potentially weighing its 51.45% return on equity against the prior 90-day negative return. This continuous upward recalibration indicates the AI's real-time interpretation of informational signals, quickly translating an evolving positive outlook into a higher portfolio allocation for the consumer discretionary company.

weight 0.290% → 0.330% (+0.040 pp)·stock up 0.1% in the 30 days before

May 22·entry $192.50·now $223.34Chased

+16.02%
since May 22

AIEQ · Weight decrease · 2d

The AI ETF likely initiated consecutive weight decreases in WSM due to its high PBR of 12.27, indicating potential overvaluation, combined with meager 1.24% revenue growth. This suggests the AI's algorithm perceives the stock as overvalued relative to its growth prospects in the consumer discretionary sector, despite strong ROE. Retail investors should recognize that AI models prioritize a balance of strong profitability with reasonable valuation and growth potential. This pattern advises checking if a company's current valuation is justified by its future growth outlook, even if it exhibits excellent current returns on equity.

weight 0.310% → 0.290% (-0.020 pp)·stock down 10.0% in the 30 days before

May 14·entry $173.65·now $223.34

+28.62%
since May 14

AIEQ · Weight decrease · 2d

The AI ETF is likely decreasing WSM's weight due to the stark discrepancy between its high valuation multiples (PER 19.66, PBR 12.27) and its minimal revenue growth of just 1.24%. Despite strong ROE, the algorithm probably flags the stock as overvalued given its poor top-line expansion in the Consumer Discretionary sector. For retail investors, this highlights the critical need to align a company's valuation with its fundamental growth prospects, rather than relying solely on current profitability, especially in cyclical industries.

weight 0.340% → 0.320% (-0.020 pp)·stock down 0.6% in the 30 days before

Apr 30·entry $181.21·now $223.34

+23.25%
since Apr 30
QRFTnow 0.060% of fund3 signals

QRFT · New entry · 1d

weight 0 → 0.060% (new)·stock up 13.3% in the 30 days before

Jun 2·entry $203.84·now $223.34Drifting

+9.57%
since Jun 2

QRFT · Exit · 1d

The AI ETF likely divested WSM due to its high valuation multiples, specifically a PBR of 12.27, which was not supported by its extremely low 1.24% revenue growth, despite strong ROE. For retail investors, this underscores the importance of scrutinizing whether current market valuations are justified by a company's top-line growth potential, rather than relying solely on profitability metrics in isolation.

weight 0.050% → 0 (exited)·stock down 2.5% in the 30 days before

May 4·entry $175.69·now $223.34

+27.12%
since May 4

QRFT · New entry · 1d

stock down 15.4% in the 30 days before

Mar 20·entry $178.42·now $223.34Chased

+25.18%
since Mar 20
PQUSnow 0.030% of fund1 signal

PQUS · New entry · 1d

weight 0 → 0.030% (new)·stock up 4.0% in the 30 days before

Jul 10·entry $221.75·now $223.34Fresh

+0.72%
since Jul 10
AMOMno longer held9 signals

AMOM · Exit · 1d

The AI likely removed WSM because its high PBR of 12.27 was deemed unsustainable given its very low 1.24% revenue growth, despite strong ROE. The fund probably re-evaluated future growth prospects relative to its current market price. For retail investors, this underscores the need to assess a company's growth potential in relation to its valuation, rather than focusing solely on historical profitability metrics.

weight 0.780% → 0 (exited)·stock down 2.5% in the 30 days before

May 4·entry $175.69·now $223.34

+27.12%
since May 4

AMOM · Weight decrease · 2d

The AI ETF likely initiated a consecutive weight decrease in WSM due to its high valuation multiples (PER and PBR) coupled with very low revenue growth, indicating the stock may be overvalued or lack sufficient future growth drivers despite its strong ROE. For retail investors, this pattern highlights the importance of scrutinizing companies that exhibit high valuations but stagnant top-line growth, even when profitability is high. It serves as a practical reminder to assess a company's full financial picture rather than relying on isolated positive metrics, as sophisticated algorithms may be de-risking positions in such scenarios.

weight 0.830% → 0.780% (-0.050 pp)·stock down 0.6% in the 30 days before

Apr 30·entry $181.21·now $223.34

+23.25%
since Apr 30

AMOM · Weight decrease · 3d

The AI ETF is likely reducing its weight in WSM due to a significant mismatch between its high valuation multiples and anemic 1.24% revenue growth, signaling overvaluation despite strong ROE. This consecutive decrease suggests the AI prioritizes future growth potential over past profitability for justifying current price. For retail investors, this highlights the importance of scrutinizing whether high valuations are truly supported by robust growth prospects rather than just current profitability.

weight 0.910% → 0.830% (-0.080 pp)·stock up 4.7% in the 30 days before

Apr 24·entry $190.55·now $223.34

+17.21%
since Apr 24

AMOM · Weight decrease · 2d

weight 0.910% → 0.850% (-0.060 pp)·stock up 6.2% in the 30 days before

Apr 23·entry $192.39·now $223.34

+16.09%
since Apr 23

AMOM · Accumulation · 5d

weight 0.880% → 0.910% (+0.030 pp)·stock up 13.4% in the 30 days before

Apr 21·entry $202.28·now $223.34Chased

+10.41%
since Apr 21

AMOM · Weight increase · 2d

weight 0.860% → 0.900% (+0.040 pp)·stock up 10.6% in the 30 days before

Apr 20·entry $202.02·now $223.34Chased

+10.55%
since Apr 20

AMOM · Weight decrease · 2d

weight 0.910% → 0.880% (-0.030 pp)·stock down 0.4% in the 30 days before

Apr 8·entry $187.53·now $223.34

+19.10%
since Apr 8

AMOM · Weight increase · 2d

stock down 5.7% in the 30 days before

Apr 6·entry $182.62·now $223.34Chased

+22.30%
since Apr 6

AMOM · Weight decrease · 2d

stock down 9.6% in the 30 days before

Apr 1·entry $180.37·now $223.34

+23.82%
since Apr 1

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 Jul 19

AI ETFs like AIEQ are showing a recent trend of increasing weight in Williams-Sonoma, and PQUS has made a new entry, indicating accumulation. This activity contrasts with the framework's 'Fail' verdict, which is driven by concerns over financial health transparency and the absence of a margin of safety at the current valuation.

  • Circle of CompetenceThe established nature of homefurnishing retail, encompassing strong brands, suggests sufficiently stable unit economics to reasonably project long-term cash flows.
  • Economic MoatWilliams-Sonoma possesses a durable economic moat primarily through strong brand recognition and customer loyalty across its multiple, well-differentiated home furnishing brands.
  • ManagementWithout information on shareholder communications, specific capital allocation decisions, or insider ownership, management's adherence to all three criteria cannot be assessed.
  • Financial HealthWhile the reported ROE is exceptionally strong at 53.29%, the absence of data on debt levels, operating margin trends, and owner earnings consistency prevents a full confirmation of robust financial health.
  • Margin of SafetyGiven the high P/E of 24.61, P/B of 12.27, and EV/EBITDA of 23.9 against a modest 1.3% revenue growth, the current price offers no apparent margin of safety.

Williams-Sonoma operates within a predictable circle of competence and benefits from strong brand-driven economic moats. However, the analysis results in a 'Fail' verdict due to incomplete financial health data and a valuation that appears to offer no margin of safety. While the company's underlying business strength is notable, the current price and lack of certain financial details pose significant concerns for a value-focused investor.

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.