{"id":27666,"date":"2026-03-25T00:36:00","date_gmt":"2026-03-25T00:36:00","guid":{"rendered":"https:\/\/investx.fr\/en\/?p=27666"},"modified":"2026-03-25T11:58:01","modified_gmt":"2026-03-25T11:58:01","slug":"prediction-markets-losses","status":"publish","type":"post","link":"https:\/\/investx.fr\/en\/crypto-news\/prediction-markets-losses\/","title":{"rendered":"Are prediction markets worse than sports betting? Traders face losses"},"content":{"rendered":"\n

Polymarket: A bloodbath for retail against the whales<\/h2>\n\n\n\n

The prediction market <\/strong>bull run<\/strong>,<\/a> fueled by giants like Polymarket<\/a>, has attracted a massive wave of new users. Hoping to ride a new narrative breakout, many crypto investors rushed in. However, the report from investment bank Citizens JMP<\/strong> is clear: the median losses for retail investors are significantly deeper here than with traditional bookmakers. To understand this phenomenon, one must grasp the mechanics of prediction markets and what sets them apart from classic betting.<\/p>\n\n\n\n

On these peer-to-peer<\/strong> platforms, users do not bet against a house, but directly against other traders. Retail finds itself in direct confrontation with ruthless market makers<\/strong> and highly capitalized quantitative funds. The on-chain data is damning: 70% of the 1.7 million active addresses have incurred losses, while less than 0.04% of addresses have captured over 70% of the total profits. These institutional players are turning novices into mere exit liquidity<\/strong>.<\/p>\n\n\n\n

While traditional sports betting often limits professionals, decentralized prediction markets<\/a> offer a completely open order book<\/strong>. Smart money<\/strong> sweeps the board while retail portfolios sink into a bearish trend. The mechanics of a crypto<\/a> pump and dump find their perfect equivalent here in the prediction universe.<\/p>\n\n\n\n

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Polymarket vs Bookmakers: Why does retail always end up rekt?<\/h2>\n\n\n\n

The craze for political and macroeconomic betting<\/strong> has sparked an unprecedented adoption rally. But the very mechanics of these markets favor deep pockets. One trader raked in nearly a million dollars by betting with unsettling accuracy on military strikes involving Iran, boasting a 93% success rate, a level deemed too good to be true by CFTC experts. When an unexpected event triggers a brutal probability correction<\/strong>, professional algorithms adjust in milliseconds while retail takes the full brunt of the retracement.<\/p>\n\n\n\n

Citizens JMP highlights that this asymmetry of information and capital is fatal<\/strong>. Unlike a sports bet, prediction contracts fluctuate in real time just like cryptocurrencies<\/a>. Retail investors, driven by emotion, buy local tops<\/strong> and sell at a loss during dips, reproducing the exact classic mistakes documented in any trading journal.<\/p>\n\n\n\n

This dynamic turns these platforms into an extremely aggressive zero-sum game<\/strong>. Faced with the growing scandal, Polymarket and Kalshi have announced new anti-insider trading rules, banning bets based on confidential information or when the bettor is in a position to personally influence the outcome of the event. But for traders who are already rekt, these announcements come too late: the whales have already cashed in their profits.<\/p>\n\n\n\n

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The reality of smart money players: it\u2019s a war of algorithms, strategies, and milliseconds.

Here\u2019s a fascinating breakdown of how people are making hundreds of thousands of dollars on
@Polymarket<\/a>.

The whales aren\u2019t trying to predict the future at all.

They\u2019re trading\u2026
https:\/\/t.co\/wmHR14grWU<\/a> pic.twitter.com\/E4LjczTzSt<\/a><\/p>— shmidt (@shmidtqq) March 14, 2026<\/a><\/blockquote>