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      DeepBook App Launches One-Minute Prediction Markets on Sui Network

      The DeepBook App has officially launched on the Sui mainnet as of September 24, 2026, introducing a fully integrated trading platform that combines spot markets, margin trading, and ultra-short-term prediction markets. The standout feature, named Predict, allows traders to speculate on Bitcoin price movements with expiry windows as short as one minute, a significant reduction compared to traditional prediction markets that typically operate over days or weeks.

      DeepBook utilizes a shared on-chain central limit order book (CLOB), which has already processed over $20 billion in cumulative trading volume across more than 15 applications. This infrastructure connects buyers and sellers directly, enhancing trading efficiency. The app also offers spot trading with pairs such as SUI/USDC and xBTC/USDC, along with margin capabilities for leveraged positions, marking a significant advancement in decentralized finance (DeFi) trading.

      The Predict feature distinguishes itself by employing a continuous strike model and a peer-to-pool system, allowing users to bet on Bitcoin's price at specific moments rather than on event outcomes. This innovative approach is designed to cater to retail traders, making high-frequency trading strategies more accessible. The average transaction finality speed on the Sui network is approximately 390 milliseconds, significantly faster than Ethereum, which enhances the trading experience.

      Initially focused on Bitcoin, the Predict feature is expected to expand to additional assets in the future. The integration of various trading functionalities into a single interface aims to streamline the trading process for users, who often navigate multiple protocols to access similar services.

      © 2026 KLEA News. All Rights Reserved. This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

      Source: KLEA News

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