# Пов'язані статті щодо insider trading

Центр новин HTX надає останні статті та поглиблений аналіз на тему "insider trading", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

Polymarket And Kalshi Are Now Under Congressional Investigation — The Evidence That Triggered It Is Hard To Dismiss

Congress has launched a formal investigation into prediction market platforms Polymarket and Kalshi, led by House Oversight Committee Chairman James Comer. The probe demands explanations on how the platforms prevent insider trading, sparked by suspicious bets tied to classified U.S. military actions. Evidence includes a U.S. soldier's trades before the Venezuela incursion and accounts netting millions from well-timed wagers on U.S.-Iran strikes and a ceasefire announcement. Both companies, which recently updated their rules, face scrutiny over their rapid growth and Washington lobbying. This investigation poses a significant threat that could reshape the prediction market industry.

bitcoinist05/22 17:32

Polymarket And Kalshi Are Now Under Congressional Investigation — The Evidence That Triggered It Is Hard To Dismiss

bitcoinist05/22 17:32

The Wall Street Journal: Why Does Almost Everyone Lose Money Predicting Markets, Except for a Few 'Sharks'?

"The Wall Street Journal investigates why most users lose money on prediction markets like Kalshi and Polymarket, while a small fraction of sophisticated 'sharks' profit massively. Analysis shows over 70% of Polymarket users lose, with 67% of profits flowing to just 0.1% of accounts. On Kalshi, for every winning user there are 2.9 losing ones. The platforms market themselves as tools for quick riches, but the reality is dominated by professional traders and firms using algorithms, vast data resources, and high-frequency strategies that individual retail traders cannot match. These 'sharks' avoid highly unpredictable 'mention markets' (betting on specific words being said), which are popular with casual users who often overestimate small probabilities. The WSJ analysis of over 35,000 completed Kalshi mention markets found the actual payout rate was lower than the odds implied, leading to poor returns. While supporters frame these markets as harnessing 'wisdom of the crowd,' critics point to issues like potential insider trading. The story highlights the case of John Pederson, an unemployed chef who turned $2,000 into $41,000 before losing it all on a mention market bet, ending up in a homeless shelter."

foresightnews05/13 10:12

The Wall Street Journal: Why Does Almost Everyone Lose Money Predicting Markets, Except for a Few 'Sharks'?

foresightnews05/13 10:12

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