Polymarket — How On-Chain Prediction Markets Became the Most Accurate Forecasters in 2024-2026

In the weeks before the November 2024 US presidential election, polling aggregates showed a race within the margin of error. Polymarket, the on-chain prediction market running on Polygon, showed Donald Trump winning at 65% probability — a divergence from polling averages that attracted significant media attention, academic analysis, and accusations of manipulation. When the results came in, the prediction market had been substantially more accurate than the polls. The episode marked a turning point: prediction markets moved from a curiosity at the intersection of crypto and forecasting to a mainstream political intelligence tool.

## The Architecture of Polymarket

Polymarket operates on Polygon, an Ethereum layer-2 network, which enables near-zero transaction costs — typically fractions of a cent per trade. This is essential to the model: prediction market usefulness scales with the number of independent traders expressing their views, and high transaction fees are prohibitive for small-stake participants.

Markets are denominated in USDC, the regulated dollar stablecoin issued by Circle. Traders deposit USDC, buy shares in outcome tokens (YES or NO for binary markets), and receive $1 per share if their outcome resolves correctly. The market price of a YES share directly reflects the aggregate probability estimate of the crowd.

Market creation and resolution use a combination of Polymarket's centralised data team and UMA Protocol's optimistic oracle — a decentralised dispute resolution system where resolutions can be challenged and adjudicated on-chain. This hybrid approach balances operational efficiency with the trustlessness that makes prediction market credibility possible.

## The 2024 Election Markets

The 2024 US presidential election markets on Polymarket attracted unprecedented volume. Over $3 billion in cumulative trading volume flowed through the Trump/Harris market alone — making it the highest-volume prediction market event in history. The scale attracted sophisticated participants: trading firms, political operatives, and quantitatively-oriented hedge funds with access to proprietary polling data and ground-level political intelligence.

This is the mechanism by which prediction markets are supposed to outperform polls. A poll captures stated preferences; a prediction market captures the expressed beliefs of participants who stake money on their assessments. A trader who believes the polls are systematically underestimating Republican turnout in key states can express that belief, at financial risk, by buying Trump shares. If they are wrong, they lose money. The aggregation of thousands of such financially-staked assessments theoretically produces better-calibrated probability estimates than surveys of non-financially-committed respondents.

The 2024 result provided strong evidence that the mechanism works — though the one election is insufficient to establish systematic superiority, and critics noted that a single large trader reportedly bought tens of millions of dollars of Trump shares in the weeks before the election, potentially moving prices through capital rather than information.

## CFTC Settlement and Regulatory Position

Polymarket settled with the US Commodity Futures Trading Commission in January 2022, paying a $1.4 million fine for operating prediction markets accessible to US persons without CFTC registration. As part of the settlement, Polymarket implemented geo-blocking for US IP addresses and phone numbers — though on-chain access remains technically available with a VPN.

The settlement clarified Polymarket's compliance approach for non-US markets while leaving its US accessibility deliberately constrained. Kalshi, a US-regulated prediction market platform, obtained CFTC designation as a designated contract market in 2023, enabling it to legally offer event contracts to US persons. The competition between Polymarket's permissionless offshore model and Kalshi's regulated onshore model will be one of the defining regulatory experiments in the prediction market space over the next several years.

## Accuracy and Scale

Whether prediction market accuracy degrades at scale is a genuine empirical question. At small scales, prediction markets can be manipulated by well-capitalised actors who move prices through order flow rather than information. At very large scales, the population of traders is large enough that informational trades overwhelm directional manipulation — but the market also attracts more sophisticated players who may be better at extracting value from less-informed retail participants, raising questions about long-term participation incentives.

The academic literature on prediction markets (Robin Hanson's foundational work, and subsequent empirical studies by Tetlock, Sunstein, and others) consistently finds that markets outperform polls and expert surveys on political and economic questions when the questions are well-defined and the resolution is clear. The 2024 election provided a high-profile real-world confirmation of this finding, and Polymarket's 2025 volume — which expanded to non-political markets including sports, financial events, and geopolitical questions — suggests the prediction market model has durably crossed into mainstream use.

Polymarket — How On-Chain Prediction Markets Became the Most Accurate Forecasters in 2024-2026

// COMMENTS

ON THIS PAGE