Nasdaq Ventures into Prediction Markets: Wall Street Bets on Tech Index with 'Yes or No'

Odaily星球日报Опубліковано о 2026-03-03Востаннє оновлено о 2026-03-03

Анотація

Nasdaq has filed a proposal with the SEC to launch binary options, or "outcome-related options," on its flagship Nasdaq-100 and Nasdaq-100 Micro indexes. These contracts allow investors to make "yes or no" predictions on whether specific conditions will be met by the index at expiration. Priced between $0.01 and $1.00, the contract value reflects the perceived probability of the outcome—settling at $1 if true and $0 if false. This simplifies trading to a direct bet on event outcomes, rather than price movements. The Nasdaq-100, heavily weighted toward major tech stocks like Apple and Nvidia, is highly sensitive to market sentiment, making it an ideal underlying asset for such products. This move signals traditional exchanges' growing interest in prediction markets. Unlike the Intercontinental Exchange's recent strategic investment in Polymarket, Nasdaq is directly integrating predictive structures into its existing product lineup. If approved, this would mark a significant step in bringing prediction-based trading into the regulated mainstream financial system, blending traditional derivatives with event-driven speculation.

Original | Odaily Planet Daily (@OdailyChina)

Author | Asher (@Asher_ 0210)

Last night, Nasdaq Inc. submitted a rule change proposal to the U.S. Securities and Exchange Commission (SEC), planning to introduce an options contract that allows investors to make "yes or no" judgments on major stock indices.

According to the document, Nasdaq intends to list "binary options," also known as "outcome-related options," on its flagship products—the Nasdaq 100 Index and the Nasdaq 100 Micro Index. If approved, this would mark Nasdaq's first official foray into products with prediction market attributes.

This move signifies that traditional stock exchange giants are actively entering the rapidly growing prediction market sector.

What Are Binary Options?

The proposed contracts have a pricing range of 1 cent to 1 dollar, with the price itself directly reflecting the market's judgment of the probability of a specific outcome.

For example, if a contract is based on whether "the Nasdaq 100 Index meets a certain condition at a specific time point," then:

  • If the market believes the probability of this outcome is 80%, the price might be close to $0.80;
  • If the condition is met at expiration, the contract settles at $1;
  • If the condition is not met, the contract value becomes zero.

If traditional options are about betting on "how much it will rise or fall," binary options are more concerned with "whether it will happen." There are no complex parameters, no interval calculations—only the outcome itself. This all-or-nothing settlement method makes trading more like making a clear judgment about the future.

Because of this, such products are closer in form to the logic of prediction markets.

Why Choose the Nasdaq 100?

Nasdaq's choice is not an ordinary index but one of the most sentiment-sensitive assets. The Nasdaq 100 has long been regarded as a core indicator of the U.S. technology sector, with concentrated holdings in heavyweight companies like Apple, NVIDIA, Microsoft, Amazon, and Meta. These companies almost always become market focal points each quarter. An earnings report, a regulatory update, or even a policy statement can quickly reflect in the index's movement.

The high concentration of components means that the Nasdaq 100's trends often revolve around a single focus. The market might bet on AI expectations for a period, then shift to interest rate paths or policy changes. During earnings or policy-intensive periods, the index typically reflects market judgments in a relatively short time rather than prolonged back-and-forth fluctuations.

Additionally, the Nasdaq 100 itself has a mature derivatives trading foundation, ample liquidity, and a well-established pricing system. Introducing new structured products on this underlying asset is risk-controllable and more likely to gain market acceptance.

Two Ways Traditional Exchanges Are Entering the Market

Nasdaq is not the first traditional exchange to show interest in prediction markets. In October 2025, Intercontinental Exchange, the parent company of the New York Stock Exchange, announced a strategic investment of approximately $2 billion in Polymarket, acquiring about a 20% stake, with the transaction valuation once reaching around $8 billion.

The NYSE's choice was not to launch its own prediction products but to enter the field through capital participation and data cooperation. Its core intention is to obtain real-time probability data formed by prediction markets and incorporate it into institutional service systems. For the NYSE, prediction markets are more like supplementary sentiment indicators and data assets.

In contrast, Nasdaq's approach is more direct. It chooses to embed binary structures into its core index product line, extending within the existing trading framework. Compared to investing in external prediction market platforms, this method means predictive trading is incorporated into the standardized securities product system, rather than being just an external data source.

The difference in strategies reflects the varying judgments of traditional exchanges when facing new trading structures.

Prediction Markets Are Being Integrated into Traditional Exchange Product Systems

Regardless of whether the SEC ultimately approves this proposal, Nasdaq's submission of the rule change application itself sends a clear signal—predictive trading is no longer just an experiment on crypto platforms or niche markets but is beginning to be integrated into traditional exchange product systems.

For a long time, mainstream derivatives have revolved around price fluctuations, with investors judging the magnitude and timing of rises and falls through different structures. Binary options simplify the question to whether the outcome will occur, shifting the trading focus from magnitude to the conclusion itself.

When the Nasdaq 100 Index is incorporated into such contract structures, the trading logic becomes more direct. The market's focus is no longer on the magnitude of fluctuations but on whether a specific outcome will materialize. The price reflects not just volatility but the consensus on the probability of the outcome.

For Nasdaq, this is an extension of its product line. For prediction market, it is the beginning of its structure being formally accepted by the mainstream system. If this product eventually launches, it could become a bridging attempt between traditional derivatives and event-based trading.

Пов'язані питання

QWhat is the new type of option contract that Nasdaq has proposed to the SEC?

ANasdaq has proposed a 'binary option' or 'outcome-related option' contract that allows investors to make 'yes or no' judgments on major stock indices.

QWhich specific indices will the new binary options be based on if approved?

AThe binary options will be based on the Nasdaq 100 Index and the Nasdaq 100 Micro Index.

QHow does the pricing of these binary options reflect market expectations?

AThe price, ranging from 1 cent to 1 dollar, directly reflects the market's judgment of the probability of a specific outcome. For example, a price of $0.80 indicates an 80% probability that the condition will be met.

QWhat is the key difference between traditional options and these new binary options?

ATraditional options focus on 'how much' the price will move, while binary options focus on 'whether' a specific outcome will happen, with a simple all-or-nothing settlement.

QHow does Nasdaq's approach to entering the prediction market differ from that of the New York Stock Exchange's parent company?

ANasdaq is directly integrating binary structures into its core index products, while NYSE's parent, Intercontinental Exchange, made a strategic investment in an external prediction market platform, Polymarket, to gain access to real-time probability data.

Пов'язані матеріали

Playnance’s $GCOIN Lists on KoinBX Amid Rapid Growth in India

Playnance's native token, $GCOIN, has been listed on the cryptocurrency exchange KoinBX as of June 18. This move aims to enhance accessibility for its rapidly growing community, particularly in India, where the blockchain-powered Web3 iGaming ecosystem has gained significant traction. Over 130 partners in Playnance's "Be the Boss" program have built communities engaging thousands of active players in the region. The "Be the Boss" model allows participants to create and manage their own gaming communities, earning rewards tied to community activity. CEO Pini Peter noted India's high engagement, with community leaders successfully building player networks. One partner, Dr. Nicolas, reported earning over $57,000 through the program in recent months, highlighting both the financial rewards and the opportunity to grow an engaged community. $GCOIN serves as the ecosystem's core utility token, incentivizing participation and aligning the interests of players and community leaders ("Bosses"). The listing on KoinBX is part of Playnance's strategy to expand globally, increasing the token's utility and accessibility by combining community ownership, gamified engagement, and blockchain-based incentives. Founded in 2020, Playnance is a Web3 iGaming infrastructure company focused on creating live, non-custodial, on-chain products to onboard mainstream users. It currently processes approximately one million transactions daily, aiming to simplify the user experience while maintaining full on-chain transparency.

TheNewsCrypto32 хв тому

Playnance’s $GCOIN Lists on KoinBX Amid Rapid Growth in India

TheNewsCrypto32 хв тому

STRC Hits Historic Low, Saylor's Perpetual Motion Machine Grinds to a Halt

STRC, the perpetual preferred stock issued by MicroStrategy to fund its Bitcoin purchases, hit a historic low of $85.32, a 17% discount to its $100 par value. Designed as a "digital credit engine" to trade stably near par and enable continuous share issuance for buying Bitcoin, its plunge signals a breakdown in this model. Three key factors drove the decline: 1. Bitcoin's price fell over 50% from its peak, trading around $63,000 amid hawkish Fed signals. 2. MicroStrategy's cash reserves were depleted after a $1.5 billion convertible note repayment, slashing the dividend coverage for STRC's 11.5% yield to ~7 months. The company then sold 32 BTC to cover dividends—Michael Saylor's first Bitcoin sale since 2022—damaging the "never sell" narrative. 3. A competing Bitcoin-backed preferred stock, Strive's SATA, offers a higher yield (~13%) and daily dividends, drawing investors away from STRC. The drop triggers a negative cycle: STRC below par halts ATM share issuances, cutting off a key funding source for Bitcoin buys and potentially forcing more BTC sales for dividends, further eroding confidence. While Saylor argues the model is mathematically sound—needing only 2.3% annual Bitcoin growth to sustain itself—the market is testing the resilience of the leveraged Bitcoin treasury strategy in a bear market. The STRC price now reflects rising skepticism about this financial machinery's durability during downturns.

marsbit53 хв тому

STRC Hits Historic Low, Saylor's Perpetual Motion Machine Grinds to a Halt

marsbit53 хв тому

A Guide to Grayscale’s ‘Bottom Fishing’: Using Cash Flow to Assess Cryptocurrency Value

**Title:** Grayscale's Guide to Bottom-Fishing: Valuing Cryptoassets Using Cash Flows **Summary:** This report by Grayscale Research presents a fundamental valuation framework for cryptocurrency assets, moving beyond pure speculation to analyze those with underlying cash flows. It distinguishes between "commodity-like" assets (e.g., Bitcoin) and "cash-flow" assets, primarily within DeFi. Using the leading decentralized lending protocol Aave as a case study, the analysis applies traditional financial methodologies like Discounted Cash Flow (DCF) and Price-to-Earnings (P/E) multiples. Key findings indicate that AAVE tokens are currently undervalued. Despite recent challenges, the protocol's strong revenue growth, ~50% net profit margin, and diversified treasury support a fundamental valuation range of $80-$100 per token (compared to a ~$75 market price at the time of writing). In a base-case scenario driven by stablecoin adoption and regulatory clarity, the fair value could rise to around $175 within a year. The report emphasizes that protocol success does not automatically translate to token value. It critically examines the "value capture" mechanisms—such as buybacks, burns, and staking rewards—that channel protocol profits to token holders. Furthermore, it addresses the legal and governance complexities of Decentralized Autonomous Organizations (DAOs), noting their difference from traditional corporate equity but highlighting how robust, transparent governance can align protocol economics with holder interests. The conclusion is that the crypto market is maturing, with capital increasingly flowing towards projects with demonstrable fundamentals, real adoption, and disciplined capital allocation, creating opportunities for value-based investors.

marsbit2 год тому

A Guide to Grayscale’s ‘Bottom Fishing’: Using Cash Flow to Assess Cryptocurrency Value

marsbit2 год тому

After semiconductors lead the gains, are funds buying into AI orders or a macroeconomic rebound?

After US-Iran talks led to a temporary ceasefire and framework for reopening the strategic Strait of Hormuz, U.S. stocks rose on June 18, with the Nasdaq gaining 1.9%. The semiconductor and AI hardware sectors outperformed. This rally stemmed primarily from reduced geopolitical risk, which lowered oil prices and inflation expectations, easing discount rate pressure on high-valuation growth stocks like tech. The key question is not whether tech rebounded, but the nature of the rebound. The market appears to be selectively repricing AI infrastructure plays rather than broadly chasing AI narratives. Gains were concentrated in chips, optical interconnects, memory, and domestic manufacturing—segments tied to tangible data center build-outs and capital expenditure. Intel's ~10% surge, fueled by a Trump statement about potential Apple collaboration, exemplifies this mixed dynamic. It reflects policy catalysts and domestic manufacturing sentiment more than confirmed fundamentals. Meanwhile, strong earnings from companies like Astera Labs (revenue up 93% YoY) provided concrete evidence of AI-driven demand in hardware. In essence, the rally represents a risk-premium recalibration. Lower Middle East tensions opened a valuation repair window, and capital flowed first into AI infrastructure segments with visible near-term revenue streams. The sustainability of this move hinges on upcoming Q2 earnings, specifically continued strength in cloud provider capex, AI server orders, and hardware company guidance. Policy hopes alone are insufficient; the cycle needs validation from orders and financials.

marsbit2 год тому

After semiconductors lead the gains, are funds buying into AI orders or a macroeconomic rebound?

marsbit2 год тому

Торгівля

Спот
Ф'ючерси
活动图片