The prediction market landscape just shifted. Kalshi has surpassed Polymarket in weekly trading volume—$2.3B versus $1.2B. More notably, this marks Kalshi's first time closing a week above $2B threshold.
But here's what matters: this isn't about superior prediction algorithms. It comes down to two things—liquidity depth and operational infrastructure.
The catalyst? Two structural advantages accelerated this climb. First, TRON integration opened the floodgates. Cheap deposits via USDT/TRX pairs removed friction for users. Transaction costs plummeted. Capital flowed in easier.
Second, sports became the volume engine. Unlike political or economic prediction markets that attract niche participants, sports betting scaled the user base fast. Broader appeal, higher turnover, sustained liquidity.
The takeaway: in prediction markets, raw prediction quality takes a backseat to execution basics. Rails matter. Deposit channels matter. User accessibility matters. Kalshi nailed all three.
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bridgeOops
· 18h ago
Wow, liquidity and infrastructure are the real keys... Is Polymarket getting crushed?
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GasFeeCry
· 18h ago
Basically, infrastructure has beaten algorithms. Kalshi's move was really clever.
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memecoin_therapy
· 19h ago
Basically, infrastructure is king. No matter how good the gameplay is, if no one uses it, it's all for nothing.
The prediction market landscape just shifted. Kalshi has surpassed Polymarket in weekly trading volume—$2.3B versus $1.2B. More notably, this marks Kalshi's first time closing a week above $2B threshold.
But here's what matters: this isn't about superior prediction algorithms. It comes down to two things—liquidity depth and operational infrastructure.
The catalyst? Two structural advantages accelerated this climb. First, TRON integration opened the floodgates. Cheap deposits via USDT/TRX pairs removed friction for users. Transaction costs plummeted. Capital flowed in easier.
Second, sports became the volume engine. Unlike political or economic prediction markets that attract niche participants, sports betting scaled the user base fast. Broader appeal, higher turnover, sustained liquidity.
The takeaway: in prediction markets, raw prediction quality takes a backseat to execution basics. Rails matter. Deposit channels matter. User accessibility matters. Kalshi nailed all three.