Altcoins News
By Jean-Luc Maracon
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Cross-Margining Changes the Game. Hyperliquid runs on its own Layer 1 blockchain. The HyperCore engine powers the whole operation,…
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Retail Adoption Remains Unclear. The big question is whether Hyperliquid can actually pull retail traders away from Kalshi and…
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Hyperliquid wants in on prediction markets. The decentralized exchange, already known for leveraged perpetual futures, now plans to let users trade outcome contracts on…
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The move puts Hyperliquid in direct competition with Kalshi and Polymarket, two platforms that have spent years building their prediction market brands.
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Hyperliquid runs on its own Layer 1 blockchain. The HyperCore engine powers the whole operation, and it's built to handle multiple asset types at once.
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For experienced traders, that's a big deal. It means capital efficiency. A trader with Bitcoin collateral can bet on election outcomes or sports results without moving funds…
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Kalshi just launched Timeless, a perpetual futures product that lets users trade without expiration dates.
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The big question is whether Hyperliquid can actually pull retail traders away from Kalshi and Polymarket. Some people in the industry don't think so.
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Read also: XO Market Takes on Polymarket and Kalshi With User-Created Prediction Bets
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Oracle reliability is another issue. Prediction markets need trusted data sources to settle contracts.
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Timing matters here. Prediction markets have grown fast in recent years, especially during election cycles and major sporting events.
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The infrastructure angle is interesting. Hyperliquid isn't just adding a new product. It's betting that traders want everything in one place.
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Still, there are doubts. Hyperliquid's current setup doesn't scream "retail-friendly." The platform caters to people who understand margin, leverage, and derivatives.
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The competitive landscape keeps shifting. Kalshi's Timeless product and Polymarket's leveraged contracts show that prediction platforms are thinking bigger than simple yes-or-no…
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More context: Polymarket Traders Face $131 Million Net Loss as Bots Dominate Prediction Markets
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