Will Odyssey Therapeutics' market cap be between $1.1B and $1.4B at market close on IPO day?

"Will Odyssey Therapeutics' market cap be between $1.1B and $1.4B at market close on IPO day?" is currently priced at a 45.0% implied probability in prediction markets.

Traders are valuing YES at 45.0¢ and NO at 54.0¢.

Market liquidity is low, with roughly $1,143 exchanged over the past 24 hours.

Resolution Criteria

This market will resolve based on Odyssey Therapeutics' market capitalization at the closing price on its first day of trading.

As of market creation, the IPO is scheduled to price on May 8 (ET). If no such IPO occurs by June 30, 2026, 11:59 PM ET, the market will resolve to "No IPO before July 2026".

Market capitalization expresses the monetary value of a company’s outstanding shares, stated in its pricing currency.

It is calculated as the total number of outstanding shares, multiplied by the official closing share price of the publicly traded class on the first trading day.

If necessary, to accurately capture the company’s total market capitalization, rather than a stock-class-specific market capitalization, the calculation will include all outstanding share classes and apply any stated conversion ratios to the publicly traded class. Where no conversion right exists, such shares will be counted at their stated outstanding amount without discount, unless official filings explicitly specify differently.

The number of outstanding shares will be determined from official company filings or disclosures (e.g., SEC filings). The closing share price on the first trading day will be determined from the primary exchange’s official listing page.

If the relevant value falls exactly between two brackets, this market will resolve to the higher range bracket.

The primary resolution source for this market will be official company filings and the primary exchange’s official listing page. The market capitalization will be determined through appropriate calculation using the total outstanding shares and the closing price from the first day of trading.

In the event of an interruption in the normal trading session on the specified company’s first day of trading (e.g., a circuit breaker or half-day), the market will resolve according to the official closing price of the abbreviated session. If no such official closing price is published, the market will resolve according to the next trading day on which an official closing price is published, treating that day as the first day of trading for the purposes of this market.

Market Interpretation

Prediction markets function as real-time consensus engines.

Traders continuously buy and sell outcome shares based on:

• breaking news
• macro developments
• public narratives
• institutional positioning
• probability reassessments

As a result, market pricing reflects aggregate trader expectations rather than static forecasts or polling systems.

At the current pricing structure:

• YES trades near 45.0¢
• NO trades near 54.0¢
• Implied probability sits near 45.0%

These probabilities may shift rapidly as new information enters the market.

Liquidity & Conviction Analysis

As of May 8, 2026 at 11:24 AM, liquidity conditions act as a primary structural filter on prediction market signal quality.

Medium liquidity conviction suggests moderate participation depth, where price discovery is active but not fully saturated by institutional or high-frequency flow.

Higher liquidity environments typically produce:

• tighter spreads
• faster price discovery
• stronger informational efficiency
• lower pricing instability

Lower liquidity environments tend to exhibit:

• wider spreads
• delayed consensus formation
• increased volatility from isolated trades
• weaker signal reliability in short time windows

Overall, liquidity acts as a direct proxy for how “stable” the implied probability surface is at any given moment.

Why This Signal Exists in Prediction Markets

Prediction markets function as continuous consensus engines where probability is not stated — it is priced.

Each trade updates a live belief distribution, turning scattered human judgment into a single evolving likelihood curve.

Compared to static polling or narrative reporting, this structure adapts instantly to:

• regime shifts in geopolitics
• macroeconomic shocks and policy changes
• institutional order flow and positioning
• narrative acceleration or decay
• liquidity-driven sentiment swings
• information asymmetry correction

In practice, these markets behave less like betting tools and more like real-time probabilistic sensors for world events.

They compress collective intelligence into a dynamic signal that updates with every transaction.

Market Structure Transition

As of May 8, 2026 at 11:24 AM, prediction markets have evolved into persistent global probability infrastructure.

Polymarket and Kalshi now operate as high-throughput probability engines, with cumulative volumes exceeding $150B+ and sustained monthly flow above $7B.

Market activity has shifted from episodic speculation toward continuous liquidity formation, where geopolitical events, macroeconomic narratives, elections, AI milestones, and financial expectations are constantly repriced in real time.

This transformation has turned prediction markets into always-on consensus surfaces capable of reflecting crowd intelligence faster than traditional media, polling systems, or institutional forecasting pipelines.