Most Polymarket users lost money as profits clustered among top traders

By Mark Sheridan

3 min read

CryptoRank says 71% of Polymarket users lost money, while a tiny group of top traders captured most profits.

Crypto prediction markets are drawing more attention, but new data suggests most users are not making money.

CryptoRank reported that about 71% of Polymarket users posted net losses between 2022 and 2025, while only around 28% ended up profitable. The analysis also found that gains were highly concentrated, with the top 1% of traders taking roughly 95% of total profits and the top 0.1% alone capturing 74%.

That pattern matters for retail investors. Prediction markets are often presented as tools that turn crowd opinion into useful signals about elections, policy, crypto events, and other outcomes. But even if market prices can be informative, that does not mean most participants will earn returns.

#Why are so many prediction market users losing money

Why are so many users on prediction markets losing money? The reported data points to a structure that rewards speed, liquidity, and trading discipline more than simple forecasting skill.

According to the CryptoRank summary, sophisticated market makers and automated bots appear to hold a major advantage. Market makers can earn from the bid ask spread by providing liquidity on both sides of a market. Bots can react quickly to price gaps and retail errors, sometimes in milliseconds. That can leave casual users buying at worse prices or entering after the best risk reward has already disappeared.

The report also suggests timing plays an important role. Traders who enter a market before it becomes widely discussed may secure more favorable pricing, while later participants can face thinner upside and more volatility.

#What does the profit concentration tell investors

What does this profit concentration show investors? It suggests prediction markets may behave less like simple opinion polling and more like competitive trading venues where a small number of experienced participants dominate returns.

CryptoRank said the top 1% of traders captured about 95% of profits over the period studied. That is a sharp concentration by any standard. The article also referenced broader research across prediction platforms covering more than $67 billion in volume, with roughly 69% to 70% of accounts reported as unprofitable.

Bloomberg was also cited as estimating that retail users collectively lost around $131 million in the Polymarket ecosystem. Taken together, these figures point to a market structure where retail participation may support liquidity and price discovery, but not necessarily retail profitability.

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#How do prediction markets compare with other high risk trading products

How do prediction markets compare with other high risk products? One useful comparison is the contract for difference market in traditional finance, where regulators often require firms to disclose that a large majority of retail accounts lose money.

The source notes that a 71% loss rate is broadly similar to the 70% to 80% loss rates commonly disclosed by CFD providers in Europe. For investors, that comparison is a warning sign. A product can be popular, fast growing, and even useful for information discovery while still being a difficult place for most individuals to generate consistent gains.

#What should retail investors watch next

What should retail investors watch next? The key question is whether prediction markets keep expanding into mainstream finance and crypto trading, and whether that growth brings better transparency around user outcomes.

For now, the reported data reinforces a familiar lesson across speculative markets. Access alone does not create an edge. If profits are concentrated among market makers, bots, and early sophisticated traders, retail participants may need to treat prediction markets as high risk trading products rather than easy sources of alpha.

That does not make these platforms irrelevant. It does mean investors should separate the usefulness of a market signal from the likelihood of making money trading it.

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Important Notice And Disclaimer

This article does not provide any financial advice and is not a recommendation to deal in any securities or product. Investments may fall in value and an investor may lose some or all of their investment. Past performance is not an indicator of future performance.