The prediction market platform has launched BSC support, bringing new gameplay for BNB and stablecoin holders.

[Coin World] Recently, the official announcement made an important integration — the prediction market platform Kalshi officially supports BNB Chain. What does this mean? Simply put, the BNB and mainstream stablecoins you hold on BSC can now be directly used to trade the outcomes of real-world events, eliminating the cumbersome cross-chain bridge steps.

For BSC users, the benefits of this update are quite obvious. First is liquidity, as Kalshi connects to the world's most active prediction market, allowing for faster fund deposits and withdrawals; second is convenience, as there is no need to deal with network switching anymore, and operations can be done directly on BSC, greatly enhancing the user experience.

There are also detailed arrangements on the operational level. Users with US accounts can deposit and withdraw using native BNB and USDT; international account users can use the associated trading platform to support three types of assets: BNB, USDT, and USDC. This multi-tiered support approach essentially covers the needs of users from different regions.

From an ecological perspective, this is a manifestation of BSC's continued expansion of the boundaries of DeFi applications. The prediction market itself is a relatively new track, and the choice of leading platforms like Kalshi to follow up indicates that the ecological attractiveness of BNB Chain is still on the rise. For users looking to achieve asset appreciation through prediction trading, this integration undoubtedly provides a more direct and efficient path.

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ApeWithNoChainvip
· 12-22 16:06
Finally, there's no need to shuffle back and forth, just directly use BSC for prediction, it's great.
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CryptoNomicsvip
· 12-22 16:01
actually, if you run the correlation matrix on bsc adoption rates vs prediction market traction, the statistically significant coefficient is way lower than this press release implies. the liquidity argument falls apart under basic regression analysis, ngl.
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