Fri Nov 01 07:30:00 UTC 2024: ## Polymarket’s 2024 Election Prediction Market Accused of Wash Trading

**New York, NY** – A recent Fortune article, citing research by blockchain analytics firms Chaos Labs and Inca Digital, alleges that a significant portion of trading volume on Polymarket’s 2024 US Presidential election prediction market is likely due to wash trading.

Wash trading involves an individual acting as both buyer and seller in a transaction, artificially inflating trading volume and creating a misleading impression of market activity. This practice is illegal in traditional finance.

While Polymarket maintains that transactions are transparent and publicly available, and that their terms of service prohibit market manipulation, the research suggests otherwise. Chaos Labs estimates that around one-third of trading volume, and a significant portion of users, on the presidential market alone are potentially involved in wash trading.

The alleged motivation behind this wash trading appears to be airdrop farming, where users engage in repeated trades to qualify for token giveaways, as Polymarket is reportedly considering issuing its own token.

Some experts, however, have expressed skepticism about the Fortune article’s findings. Veteran prediction market trader Flip Pidot, while unable to independently verify the research, questions the article’s claim about Polymarket’s volume calculation.

The article follows previous allegations of manipulation on Polymarket, specifically regarding a “whale” trader’s large bullish positions on Donald Trump’s chances of winning the presidency. While Polymarket confirmed the existence of these accounts, market watchers believe the trader’s activity was strategic, not manipulative.

The allegations of wash trading raise serious concerns about the integrity of Polymarket’s prediction market and the reliability of its data. This incident also highlights the challenges of regulating decentralized finance platforms like Polymarket, where traditional market oversight is often lacking.

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