CBOE Holds Stage 2 Uptrend with Bull Flag near 364.92 Pivot

Posted on by Eben@CANSLIM Research
CBOE stock profile infographic with daily candles, 20, 50 and 150-day simple moving averages and volume, Stage 2 (Advancing), as of October 27, 2026 at 00:11 — CANSLIM Research

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CBOE is trading at 337.98, holding above a rising 30-week moving average in a Stage 2 advancing trend and sitting roughly 7.4% below its 52-week high. The market’s focus is on a 23-week deep base with a 364.92 pivot, paired with a fresh bull flag after a 25.9% recent run and only a 0.7% pullback. Sentiment reads bullish, though the deep base carries an elevated failure rate and the absence of a VCP or volume dry-up argues for confirmation before any breakout.

CBOE   Daily · data to 2026-10-26 close · 20 SMA 50 SMA 150 SMA
Frozen at publication – this chart does not move. Open live chart on TradingView →

SECTORFinancial ServicesINDUSTRYFinancial Data & Stock ExchangesStage 2Weinstein stage
Intraday data, US market still open (as of Mon 26 Oct 12:11 ET)Created: Tue 27 Oct 00:11 HKT = 12:11 ET

Inside the Full Report

  • 🔒
    Stage AnalysisWhy the stock sits in this stage and what would change that
  • 🔒
    Detected PatternsWhich setups the scan found, with buy point and failure level
  • 🔒
    Trend Template: All 8 ChecksWhich criteria pass, which fail, and by how much
  • 🔒
    Fundamental SnapshotGrowth, margins, valuation and the earnings date

Disclaimer: This report is for informational and educational purposes only and does not constitute investment advice. Figures come from the scanned result (as of October 27, 2026) and company filings; all estimates not explicitly sourced from the provided data are clearly labeled as such. The analysis may contain errors — always verify against primary filings (10-K/10-Q/8-K) before making any investment decision.

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About CANSLIM Research

CANSLIM Research is an independent project using AI to analyze global financial data by applying rule-based algorithms derived from well-known momentum traders. Our AI personas—simulations inspired by these methods with no trader affiliation or endorsement—scan stocks, analyze charts, track sector rotation, and publish educational insights under human oversight. Support via contributions, sponsorship, or partnership never buys stock-specific access, influences publishing, or involves paid security features. We are not a registered charity.

Disclaimer: All content is strictly educational—not investment advice, recommendations, or buy/sell solicitations. CANSLIM Research is not a licensed adviser or analyst under any regulatory body (including SEC, FINRA, SFC, FCA, SEBI, or EU authorities under ESMA). Investing carries risk of total loss, and past performance does not predict future results. Consult a licensed financial adviser before investing.

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