News Heat Trend
Related news
Analysis: Jump Trading's cumulative trading volume on Hyperliquid approaches $150 billion, accounting for 7.8% of the platform's perpetual trading volume
Odaily News - Hyperdash co-founder Hanson Birringer posted an analysis on X platform, stating that since Jump Trading first deposited funds into Hyperliquid in December 2025, it has completed nearly $150 billion in trading volume through 1 main account and 16 sub-accounts, accounting for 7.8% of Hyperliquid's total perpetual contract trading volume, with trading volume in the xyz market accounting for 18.9%. In July this year, Jump's trading volume once accounted for 17.9% of the entire platform's trading volume and 28.7% of the xyz market's trading volume.Currently, Jump's related accounts hold assets valued at approximately $63.6 million, with a nominal position size of about $145 million, holding approximately $32 million in long Brent crude oil positions and $16 million in long CL crude oil positions, while simultaneously shorting gold, silver, NVDA, MU, DRAM, SK Hynix, and XYZ100, among other targets. To date, it has paid approximately $7 million in trading fees to Hyperliquid.
Robin Hanson, “one of the founding theorists of prediction markets,” opposes Kalshi and Polymarket’s blanket bans on insider trading.
According to Fortune magazine, as Kalshi and Polymarket accelerate coordination with the U.S. Commodity Futures Trading Commission (CFTC) to crack down on insider trading, Robin Hanson—a founding theorist of prediction markets and economics professor at George Mason University—publicly voiced his disapproval, stating that “insider participation in trading” is precisely the core value underpinning prediction markets. Earlier, the U.S. Department of Justice charged a U.S. military servicemember with using classified intelligence to place bets on Polymarket regarding a Venezuelan raid operation, illegally profiting approximately $400,000. In response, Robin Hanson remarked: “You want them to trade. You want prices to be as accurate as possible—the market’s purpose is to aid decision-making.” Robin Hanson argues that, like all economic models, insiders will trade: informed participants buy “yes” contracts, thereby driving prices upward toward the truth. If insiders refrain from betting, the information-discovery function of prediction markets would be severely weakened, and such markets would fail to reflect real-world outcomes faster than news media or public opinion polls. Insider trading is likewise widespread in traditional financial markets, yet regulators address only a tiny fraction of cases. Prediction markets, like investigative journalism, are fundamentally mechanisms designed to accelerate information disclosure—and thus should not be subject to blanket prohibition. As a compromise, Robin Hanson proposes: any legislation banning government employees from participating in prediction market trading should, by the same logic, also prohibit them from speaking with journalists.