Stanford research exposes a Polymarket design flaw, making it easier to manipulate Bitcoin price

According to the latest research from Stanford University, because Polymarket has serious structural vulnerabilities, the platform’s mechanism may induce traders to manipulate the price of Bitcoin in order to profit.

The analysis says this not only undermines the authenticity of prediction data, but also raises public questions about trading fairness.

Polymarket, as a decentralized prediction market platform, allows users to place bets on the outcomes of various events, including financial and political predictions. But Stanford’s research reveals that the platform’s design creates scenarios in which traders can influence the price of Bitcoin, thereby distorting market forecasts.

The research and analysis found that large one-sided orders repeatedly appear on the exchange. These trades are mainly executed in the last few seconds before a bet is settled, causing a brief impact on the price of Bitcoin and enabling holders with positions in the same direction to profit.

The researchers described this pattern as temporary manipulation that pushes up spot prices, noting that such contracts have structural vulnerabilities. Participants can influence the BTC price in the short term through large order trades, thereby changing the outcome of bets.

Specifically, professional traders can buy and sell Bitcoin in the short term to swing the price around, and then turn their own bet profit or loss around, directly distorting the market’s collective expectations and ultimately harming the interests of ordinary participants.

Meanwhile, this kind of prediction market that is linked to the real-time prices of crypto assets can be subject to external capital manipulation, and it is also easy for internal users familiar with the trading rules to exploit loopholes. With both internal and external risks present, the fairness and credibility of prediction markets are seriously affected.

According to the study’s estimates, suspected manipulators profited by about $8.2 million within two months, and the losses mainly came from retail traders. However, similar patterns are not obvious in 15-minute markets, and it becomes even harder to affect results within longer time windows.

Overall, this study reveals potential risks in crypto prediction markets linked to Bitcoin-related derivatives, and it also forces the industry to re-examine existing product designs and operating rules. By optimizing mechanisms and improving regulatory measures, the aim is to enhance the overall credibility of the market.

#Polymarket漏洞 #Bitcoin price manipulation