PredictBay, a Silicon Valley-built prediction market platform, is coming out of stealth with $26.1 billion in simulated paper trading volume and plans to offer one-minute UP/DOWN markets on the Sui blockchain, positioning itself as a faster and more consumer-friendly alternative to established competitors like Polymarket and Kalshi. The platform accumulated this test volume organically during months of product development without paid marketing, suggesting significant early interest in high-speed prediction markets.

What Makes PredictBay Different From Existing Prediction Markets?

PredictBay operates on fundamentally different infrastructure than its competitors. While Polymarket uses a centralized limit order book (CLOB) architecture where user orders are matched off-chain and settled on-chain, PredictBay is built on Sui's DeepBook Predict, which treats prediction markets as options under the hood with shared liquidity across multiple markets. This shared liquidity approach is designed to reduce fragmentation, a persistent problem in prediction markets where liquidity gets scattered across thousands of individual event pages.

The speed difference is immediately noticeable. As of mid-August 2026, Polymarket offered 5-minute Bitcoin UP or DOWN markets, while Kalshi offered 15-minute versions. PredictBay's announced one-minute format is five times faster than Polymarket's current offering and fifteen times faster than Kalshi's, creating what the company describes as a radically different trading loop for retail users: choose a direction, watch the market resolve, and move to the next opportunity within 60 seconds.

How Does DeepBook Predict's Technology Work?

DeepBook Predict is the third financial primitive in Sui's DeepBook stack, alongside Spot trading and Margin trading. Sui describes Predict as an on-chain prediction and options primitive capable of supporting binary markets, options, leveraged products, and structured instruments. The infrastructure was developed with Block Scholes option pricing models, and Sui claims transactions can settle in under 400 milliseconds.

The technical advantages extend beyond speed. DeepBook combines a shared financial infrastructure layer with Sui's parallel execution architecture, which allows multiple transactions to process simultaneously rather than sequentially. Sui reports that DeepBook Spot has processed more than $17 billion in cumulative on-chain volume, with trades settling on-chain in under 400 milliseconds and negligible gas costs. Predict extends this stack toward expiry-based markets and options pricing.

Steps to Understanding PredictBay's Consumer-Focused Design

• Simplified Login: PredictBay uses Sui's zkLogin technology to turn existing OAuth logins such as Google or Apple into a Sui blockchain address without exposing users to seed phrases or persistent private-key management, removing a major friction point for mainstream users.
• Minimal Complexity: The intended user experience is deliberately simple: log in, select a market, choose UP or DOWN, select a stake, and trade, designed to feel more like a mainstream consumer brokerage or mobile game than a traditional crypto derivatives interface.
• Hidden Infrastructure: While the underlying infrastructure supports complex options Greeks, vertical ranges, calls, puts, spreads, and leveraged exposures, users are not required to understand these concepts to participate in basic prediction markets.

What Is PredictBay's Broader Vision Beyond One-Minute Markets?

PredictBay's ambitions extend far beyond simple Bitcoin UP/DOWN predictions. The company's roadmap includes expansion from binary markets into ranges, calls, puts, spreads, leveraged exposures, and structured products. DeepBook Predict's own technical presentation describes an eventual expansion from Bitcoin into crypto assets, equities, and real-world assets, including the concept of trading an S&P 500 UP/DOWN market around the clock.

For PredictBay specifically, that points toward an eventual consumer market covering Bitcoin, Ethereum and other digital assets, gold, silver, and potentially broad equity markets available 24 hours a day, seven days a week where legally available. The company plans to distribute more than 1 million dUSDC testnet units to early users for stress-testing, with a DeepBook Predict mainnet rollout scheduled for later in 2026.

Why Does Liquidity Architecture Matter for Prediction Markets?

Liquidity fragmentation represents one of prediction markets' hardest scaling problems. When thousands of independent markets each maintain their own order books, liquidity becomes scattered, making it harder to execute trades at fair prices. PredictBay's shared liquidity model addresses this by having liquidity providers supply quote assets into a shared vault, against which applications can mint and redeem oracle-priced binary positions and vertical ranges.

This distinction becomes increasingly important as PredictBay moves beyond simple UP/DOWN markets. Sui's technical presentation describes shared liquidity as a way to reduce fragmentation across large numbers of markets and calculate option contract pricing on demand. The result is a very different thesis from simply creating thousands of independent event pages and hoping liquidity appears organically.

What Do the Test Numbers Tell Us About Market Demand?

PredictBay's paper-trading numbers are unusually large for a product that remained largely out of public view during its stealth phase. The company's current dashboard shows approximately $26.16 billion in cumulative simulated paper volume and approximately $1.302 billion in simulated paper fees accumulated since its stealth launch in January 2026. These figures were generated organically while the team focused on stress-testing market mechanics, user behavior, and a game-like retail interface, without a paid marketing campaign.

For context, when Sui introduced DeepBook Predict in May 2026, it cited $7 billion of Polymarket volume in February 2026 alone and approximately 70,000 daily active users across the broader prediction market ecosystem. PredictBay's test volume suggests significant organic interest in the prediction market category, though it is important to note these are simulated rather than real-money figures used for product testing and validation.

The public launch represents not the beginning of testing but rather the conclusion of an extended stealth period. PredictBay is now preparing to broaden public access to its Sui testnet experience and eventually move to mainnet deployment, marking the transition from internal stress-testing to real-world market conditions.