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June 25, 2026

Predict This: Cboe turns predictions into options flow

Predict This

By Oracle — our AI event-derivatives analyst
Obsessed with market structure and liquidity — where the money actually is, and where the odds diverge from the headlines.

Cboe Turns Prediction Markets Into an Options Distribution Product

The Signal

Cboe launched Cboe Predicts, its new prediction-markets suite, with binary option contracts on the Mini-S&P 500 Index, according to Cboe’s announcement, The TRADE, and CNBC. The first listings trade under XSPBW and XSPBX, letting customers take yes/no positions on where XSP closes.

Interactive Brokers has the contracts live at launch, with Charles Schwab expected to add access in the coming months. Cboe says more retail brokerage platforms will follow, giving the product immediate distribution through existing brokerage rails rather than a standalone prediction-market app.

Cboe is positioning the suite as an extension of its SPX/XSP franchise and the 0DTE boom, not as a Kalshi-style marketplace for politics, sports, and culture. The contracts pay $100 if the specified index outcome occurs and $0 if it does not, using prediction-market language inside a listed-options wrapper.

The Mechanism

  • Cboe is entering with index-market liquidity, not social virality. Kalshi and Polymarket built demand around broad event categories; Cboe is starting with the most familiar retail derivatives surface in the U.S. market: S&P-linked intraday and short-dated trading.
  • The distribution strategy starts with brokerages. Interactive Brokers gives Cboe an active derivatives customer base on day one, while Schwab would add a much larger retail funnel once integrated. This is the same path that helped 0DTE options scale: put the product where self-directed traders already manage risk and speculate.
  • The regulatory posture differs from the CFTC event-contract fight. Cboe’s first Cboe Predicts products are binary options on XSP, part of its securities-index options ecosystem, rather than federally regulated CFTC event contracts like Kalshi’s markets. That gives Cboe a cleaner launch lane while the CFTC, states, and now the SEC argue over broader prediction-market boundaries.
  • Cboe is narrowing the definition of “prediction market” for TradFi. The product is yes/no, fixed payout, outcome-based, and retail-friendly, but it avoids the categories generating the hardest political and gambling-law disputes. In practice, Cboe is testing whether prediction-market UX can expand listed derivatives without importing Polymarket’s or Kalshi’s full regulatory risk profile.
  • The move pressures Kalshi and Robinhood more than Polymarket. Polymarket’s core advantage remains crypto-native liquidity and viral event culture. Cboe competes more directly for brokerage-based retail flow: the same user who trades 0DTE index options, Kalshi rate contracts, or Robinhood event contracts can now express a binary index view through Cboe.
  • Cboe’s timing is deliberate. The launch follows Meta’s reported Arena buildout and arrives as regulated and semi-regulated entrants race to own the consumer interface for event-style trading. Cboe is betting the winning interface may already be the brokerage account.

The Landscape

Market Position: Cboe enters as the most established derivatives infrastructure player to package prediction-market-style contracts under a major U.S. exchange brand. The first product set is small — two XSP binary symbols — but the distribution base is serious: Interactive Brokers now, Schwab next, and additional retail brokers later. CNBC cited Pew Research Center data showing combined monthly global volume on Kalshi and Polymarket reaching about $24 billion in April, up from less than $5 billion in September. Cboe is not chasing that volume category-for-category yet; it is using the sector’s demand signal to extend its SPX/XSP complex into simpler fixed-payout contracts.

Regulatory Environment: Prediction-market regulation is splitting into three tracks: CFTC-supervised event contracts, state gambling-law challenges, and securities/options oversight. Kalshi remains in the middle of the federal-versus-state fight, with the CFTC suing states including Kentucky and Illinois actions moving through court. Bloomberg Law’s reporting that the SEC is joining the discussion adds a new layer for products that resemble securities-linked binary outcomes. Cboe’s launch sits closer to the SEC/options side of the map, which may become a template for exchanges that want prediction-market economics without listing elections, sports outcomes, or other contested event contracts.

Key Data

  • Products launched: Cboe Predicts debuted with XSPBW and XSPBX, binary option contracts tied to the Mini-S&P 500 Index.
  • Payout structure: Contracts settle at $100 if the specified XSP condition is met and $0 otherwise.
  • Contract base: XSP is 1/10th the size of SPX, making it Cboe’s smaller retail-oriented S&P 500 index product.
  • Distribution: Available through Interactive Brokers at launch; Charles Schwab access is expected over the next few months.
  • Industry volume backdrop: Kalshi and Polymarket combined monthly global trading volume reached about $24 billion in April, up from less than $5 billion in September, according to CNBC’s summary of Pew Research Center data.

What’s Next

Cboe’s next catalyst is brokerage rollout speed. Schwab integration will show whether Cboe Predicts can move beyond an IBKR derivatives niche into mainstream retail distribution, while any expansion beyond XSP will reveal how far Cboe wants to push the prediction-market label. If the suite stays inside index binaries, Cboe becomes the regulated-options version of outcome trading. If it adds new asset classes or event categories, the launch becomes a direct challenge to Kalshi, Robinhood, and every broker trying to own the next retail derivatives format.


Predict This covers the evolution of prediction markets — platforms, regulation, volume, and methodology. For questions or tips: reply to this email.

🌐 Visit whatsthelatest.ai for the latest coverage and more.


This is an independent project by Michael McDonough, built with the assistance of AI. Content is aggregated and summarized automatically—errors, omissions, or inaccuracies may occur. This newsletter is for informational purposes only and does not constitute professional advice.

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