AIEQ1.100%
as of Jul 20
CBOE
DefensiveCboe Global Markets, Inc.
Cboe Global Markets, Inc., through its subsidiaries, operates as a derivatives and securities exchange network that delivers cutting-edge trading, clearing, and investment solutions in the United States and internationally. It operates through five segments: Options, North American Equities, Europe and Asia Pacific, Futures, and Global FX. The Options segment includes options on market indices, as well as on the stocks of individual corporations and on trading solutions and products in multiple asset classes, including equities, derivatives, and FX, across North America, Europe, and Asia Pacific (ETPs), such as exchange-traded funds (ETFs) and exchange-traded notes (ETNs); and trading in listed options through a single system.
Close · 3M
-3.39%
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 signals5
Win rate40% (2/5)
Avg buy return-0.69%
AIEQ · Weight increase · 2d
CBOE's current price of $267.85 places it at 75% of its 52-week high, following a substantial 23.0% decline over the past 30 days, despite achieving a 22.2% return over the last year. This recent sharp downturn likely generated a significant volume of news, analyst commentary, and social posts, all of which AIEQ's IBM Watson NLP system ingests daily. The consecutive weight increase suggests the AI detected a shift in sentiment or identified underlying value signals from this extensive data, potentially identifying the $267.85 level as an attractive entry point given CBOE's 10.61% revenue growth and 24.63% ROE. EquBot's risk overlay then converted these daily insights into increased exposure, leveraging the fund's daily rebalancing and high-turnover nature to capitalize on the perceived opportunity after the stock’s recent correction.
weight 0.990% → 1.070% (+0.080 pp)·stock down 4.4% in the 30 days before
Jul 9·entry $267.85·now $278.21Drifting
+3.87%
since Jul 9
AIEQ · Weight increase · 2d
CBOE’s current price of $248.99 positions it at 70% of its 52-week high, having experienced a -27.6% return over the past 30 days despite a +12.2% 1-year return. AIEQ’s management by EquBot, leveraging IBM Watson NLP, likely registered a shift in sentiment for CBOE as its price declined, bringing it into a more attractive range relative to its 52-week high. Watson’s daily ingestion of news, filings, and social posts would have processed this recent market activity, contrasting the short-term price drop with CBOE’s financial figures, including a 10.61% revenue growth and 24.63% return on equity. This confluence of factors, where negative sentiment and price weakness potentially bottomed out against a backdrop of the company's 21.37 PER, informed the significant weight increase from 0.32% to 0.99% on July 1st, consistent with AIEQ’s high-turnover, daily rebalancing strategy, with a further adjustment to 1.01% by July 3rd.
weight 0.320% → 1.010% (+0.690 pp)·stock down 9.7% in the 30 days before
Jul 3·entry $245.08·now $278.21Chased
+13.52%
since Jul 3
AIEQ · Sudden change · 1d
AIEQ’s strategy, driven by IBM Watson NLP processing news, filings, and social posts across thousands of US equities, explicitly aims for a daily ranking that EquBot's risk overlay converts into positions. This highly responsive system, rebalancing its 140-180 stock portfolio daily, increased Cboe Global Markets' weight from 0.32% to 0.99% on July 1st. The dramatic shift suggests the AI's hybrid fundamentals and sentiment analysis identified a strong positive signal, likely recognizing value in a company with a 24.63% ROE despite its recent 30-day return of -26.9%. Such a decisive allocation reflects the fund's design to capitalize swiftly on perceived opportunities based on fresh data streams.
weight 0.320% → 0.990% (+0.670 pp)·stock down 17.7% in the 30 days before
Jul 1·entry $247.72·now $278.21
+12.31%
since Jul 1
AIEQ · Weight decrease · 4d
Amplify's AIEQ, which leverages IBM Watson NLP for daily rankings across thousands of US equities, has consistently reduced its CBOE allocation, reflecting a downturn in the stock's sentiment or near-term fundamentals. This continuous de-weighting, moving from 0.43% to 0.35% over eight trading days, signals a persistent negative output from the AI's analysis of news and social posts. While CBOE exhibits a solid 24.63% ROE, the fund's high turnover and daily rebalancing mechanism allow for quick adjustments based on real-time data, indicating the AI prioritized more immediate concerns. The company's recent 30-day return of -16.3% likely contributed to its declining rank within AIEQ's 140-180 stock portfolio, prompting the AI to scale back exposure despite longer-term financial health indicators.
weight 0.410% → 0.350% (-0.060 pp)·stock down 26.5% in the 30 days before
Jun 21·entry $255.98·now $278.21
+8.68%
since Jun 21
AIEQ · Weight decrease · 3d
Amplify ETFs' AIEQ, leveraging IBM Watson NLP for daily equity rankings, systematically reduced its exposure to CBOE due to a sustained negative signal. The fund’s rebalancing cadence, occurring daily within its 140-180 stock portfolio, directly reflects the AI's continuous processing of news, filings, and social posts. CBOE’s -16.3% return over the past 30 days likely generated a wave of adverse textual sentiment, which the NLP engine identified and translated into a lower daily ranking. This persistent negative perception prompted the fund's risk overlay to consecutively decrease the CBOE weight from 0.42% to 0.36% over several days, illustrating the hybrid model's responsiveness to real-time market narratives.
weight 0.410% → 0.360% (-0.050 pp)·stock down 26.5% in the 30 days before
Jun 18·entry $249.10·now $278.21
+11.69%
since Jun 18
AIEQ · Weight decrease · 2d
AIEQ's daily rebalancing and high-turnover approach, driven by IBM Watson's NLP analysis across a vast array of textual data, account for the consecutive weight decrease in CBOE as the system likely identified a sustained negative shift in sentiment or fundamental outlook. The fund's methodology, which integrates both fundamentals and sentiment for its broad 140-180 US stock portfolio, processes a continuous stream of news, filings, and social posts, leading to a consistently lowered daily ranking for CBOE. This systematic reduction reflects the AI's response to an ongoing reassessment of the company, especially as CBOE's 30-day return sits at -14.9%. The persistent decline in allocation suggests the AI's dynamic assessment is interpreting accumulated data unfavorably for the Financials sector company at its current price level.
weight 0.410% → 0.370% (-0.040 pp)·stock down 22.1% in the 30 days before
Jun 17·entry $254.69·now $278.21
+9.23%
since Jun 17
AIEQ · Weight decrease · 2d
AIEQ’s strategy, leveraging IBM Watson NLP to process vast amounts of unstructured data daily, likely detected a shift in market sentiment or short-term outlook for Cboe Global Markets. Given the fund’s daily rebalancing cadence and its focus on a fundamentals-plus-sentiment hybrid, recent negative signals would trigger prompt adjustments within its portfolio of 140-180 US stocks. For example, while CBOE delivered a +36.1% 1-year return, its -4.7% 30-day return could have been flagged by the AI's models. This continuous intake of news, filings, and social posts enabled EquBot's risk overlay to convert the detected signals into consecutive weight reductions for CBOE on June 12th and 14th.
weight 0.430% → 0.410% (-0.020 pp)·stock down 2.9% in the 30 days before
Jun 14·entry $292.91·now $278.21
-5.02%
since Jun 14
AIEQ · Weight increase · 2d
Leveraging its daily rebalancing schedule, the Amplify ETFs' AIEQ has steadily increased its allocation to Cboe Global Markets, a move reflecting the fund's dynamic, sentiment-driven approach. IBM Watson NLP, which processes vast amounts of news, social posts, and corporate filings for the fund, likely identified strengthening positive signals for CBOE within the Financials sector. This persistent allocation growth, seen from 0.3800% to 0.4300% over the past week, aligns with the company’s solid 24.63% Return on Equity, which potentially stood out among the 140-180 US stocks in AIEQ's broad market portfolio. Despite a recent 30-day return of -3.0% for the stock, its longer-term performance, with a 1-year return of +40.1%, suggests the AI is positioning for continued upward momentum or a bounce from a minor dip.
weight 0.390% → 0.430% (+0.040 pp)·stock down 0.9% in the 30 days before
Jun 11·entry $295.90·now $278.21Fresh
-5.98%
since Jun 11
AIEQ · New entry · 1d
weight 0 → 0.460% (new)·stock up 10.9% in the 30 days before
May 30·entry $300.99·now $278.21Fresh
-7.57%
since May 30
AIEQ · Exit · 1d
The AI ETF likely removed CBOE due to its relatively high valuation metrics (PER 27.73, PBR 5.11) which, despite strong revenue growth and ROE, might have exceeded the fund's systematic risk-reward thresholds or identified more attractive alternatives. For retail investors, this highlights how AI funds make unemotional, criteria-driven decisions; even fundamentally sound companies can be divested if their valuation no longer aligns with an algorithm's precise risk management or opportunity cost assessment, urging investors to consider valuation multiples alongside growth.
weight 0.450% → 0 (exited)·stock up 16.7% in the 30 days before
May 3·entry $338.91·now $278.21
-17.91%
since May 3
AIEQ · Weight increase · 2d
The AI ETF likely increased CBOE's weight due to its robust revenue growth and impressive return on equity, signaling strong underlying business performance and profitability potential. For retail investors, this highlights how AI funds often prioritize companies exhibiting powerful fundamental indicators like sustained growth and efficient capital use, suggesting a deeper dive into such quality metrics is warranted.
weight 0.430% → 0.450% (+0.020 pp)·stock up 6.8% in the 30 days before
Apr 30·entry $300.09·now $278.21Fresh
-7.29%
since Apr 30
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 Jun 14
The AI ETF AIEQ is currently holding CBOE, with recent activity showing minor fluctuations including a slight weight decrease trend. This contrasts with a Buffett-style assessment, which concludes a 'Fail' due to the lack of a sufficient margin of safety at current valuation multiples, suggesting it may not be an attractive purchase.
- Circle of CompetenceThe exchange business model, primarily driven by transaction volumes and data services, provides a stable basis for projecting long-term cash flows.
- Economic MoatCBOE possesses a durable economic moat through strong network effects in its marketplaces, high switching costs for participants, and significant regulatory barriers to entry for competitors.
- ManagementInformation on management's candor, specific capital allocation decisions, and 'skin in the game' is not provided in the given data.
- Financial HealthWhile the most recent ROE of 24.63% is strong, the provided data is insufficient to confirm a 10-year average ROE, stable operating margins, manageable debt levels, or owner earnings.
- Margin of SafetyThe current valuation multiples, including a P/E of 25.15, suggest the market is pricing CBOE as a quality growth company, leaving little defensible discount or 'enormous margin' of safety.
CBOE Global Markets operates a predictable business with a strong economic moat, aligning well with the initial stages of a value-investing framework. However, a full assessment of management and long-term financial health is constrained by limited data. Critically, the current market price does not appear to offer the necessary margin of safety, leading to a 'Fail' verdict despite the underlying quality of the company.
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.