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Kalshi, Polymarket’s arch-rival, has stepped up its efforts, including a partnership with marketplace management firm Solidus Labs, as it seeks to distance itself from Polymarket and emphasize its credentials as the largest managed platform in the US.
Kalshi prohibits what he calls “violent markets, including war and robbery” – although it allows markets to be closed in the Strait of Hormuz – saying that the markets “do not cause harm,” while it also requires evidence of knowledge. In contrast, Polymarket does not require most users of its international site to provide identification and allows payment using anonymous cryptocurrency methods.
The growing scrutiny has led to business opportunities for start-up tools to help users benefit from targeting “targeted” suspects.
“Platforms are creating new rules to try to remove them and ensure that they do not allow this work to be done. This to me (. . .) proves that there are some things that are going well in these markets that must be followed,” said Matt Saincome, director of the fund for the data of Unusual Whales, which sells $ 20-monthly “unusual predictions” in the management of Polymark’s suspicions.
Another startup, Polywhaler, promises to help traders “manage large bets in real time” for $4.99 a month.
Polymarket has also released a list of the 10 most copied wallets on the blog, including tips for traders on strategies to follow and pitfalls to avoid when selling copies.
The company and Kalshi have long argued that their platforms use artificial intelligence to predict trends. But a recent study found that prediction markets reflect the “wisdom of a knowledgeable few” rather than the “wisdom of the crowd.”
Only 3 percent of all accounts earn a higher rate, according to research led by Roberto Gómez Cram, assistant professor of economics at the London School of Economics.
These are traders whose accounts predict prices and react quickly to critical issues, creating accurate results on Polymarket markets, a platform studied by researchers.
The rest are “unintelligent,” the study said, and therefore prone to losing money. Instead, they give money to skilled traders by making a lot of money, “but little knowledge, and their loss goes like a profit to the few who know.”
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