
Binance Wallet launched Event Rush on May 25, 2026 to enable trading of blockchain-based tokens linked to real-world event outcomes. The platform runs on the 42.space protocol on BNB Chain and issues liquid event tokens that can be bought and sold before an event is settled. Token pricing uses a bonding-curve model that adjusts prices according to supply and demand rather than fixed odds or external market makers. Traders can exit early or hold until settlement to receive a share of the full USDT-denominated collateral pool. Winning token holders split the entire pool value, including value originating from losing tokens, creating potential uncapped upside compared with traditional prediction markets. High entry prices can still lead to net losses.
"Binance Wallet has launched a new thirdparty decentralized application that lets users trade blockchainbased tokens tied to realworld events, including sports results, crypto price levels and news outcomes. Known as Event Rush, the platform, built on the 42.space protocol on BNB Chain, introduces liquid event tokens that allow users to take positions before an event concludes."
"Instead of fixed odds or external market makers, Event Rush uses a bondingcurve pricing model that automatically adjusts token prices based on supply and demand. At Binance Wallet, we're focused on expanding access to more onchain experiences that give users more ways to engage with emerging markets, said Winson Liu, Global Head of Binance Wallet."
"According to a media statement, event tokens can be traded at any time before settlement. When an event ends, holders of the winning tokens split the full value of the event's USDTdenominated collateral pool, including value from losing tokens. Binance Wallet says this structure creates the potential for uncapped upside, unlike traditional prediction markets that cap payouts."
"A hypothetical example shows a sporting event with multiple outcomes, such as Brazil, France and Spain. If Brazil tokens represent 32% of the event"
Read at news.bitcoin.com
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