The 2024 US presidential election was the most closely watched test of prediction markets in their history. With hundreds of millions of dollars in notional value deployed across Polymarket and Kalshi, the world was watching to see whether crowd-sourced probability pricing could outperform traditional polling. The results were dramatic — and instructive. Here’s what happened, what the markets got right, and what every prediction market trader should take from it.
What the Markets Were Showing
In the weeks leading up to November 2024, Polymarket showed the Republican candidate consistently at 55-65% probability of winning — significantly higher than what most mainstream polls were indicating. Kalshi’s markets told a similar story, with Republican odds running 8-12 percentage points above what polling averages suggested.
This divergence generated significant media attention and controversy. Critics argued prediction markets were being manipulated by large single buyers with a political agenda. Defenders argued the markets were processing information that traditional polling was systematically missing — namely, differential turnout models, late-deciding voter behavior, and historical polling biases in key states.
Who Was Right — and Why It Matters
The eventual outcome aligned closely with what prediction markets had been pricing for months. This result reignited a serious academic and media debate about the relative accuracy of prediction markets versus traditional polling.
The key lesson isn’t simply that markets beat polls. It’s that markets aggregate information differently than polls do. Polls measure stated intentions. Markets measure financially-committed beliefs. When someone stakes $10,000 on a candidate winning, they’ve done enough research to put real money behind their conviction. That incentive structure tends to filter out casual or socially desirable responses.
For prediction market traders, the 2024 election demonstrated that markets with high notional value and sustained one-directional momentum deserve serious analytical respect — even when they contradict conventional wisdom.
The Manipulation Question
The accusation that large buyers on Polymarket manipulated Republican odds became one of the most-discussed stories of the election cycle. Academic analysis after the fact found mixed evidence — some large-wallet activity did influence prices temporarily, but the markets generally corrected back to fundamental levels quickly.
This episode highlighted an important distinction: a large single buyer can temporarily distort prices in any market, but sustained manipulation of a liquid prediction market with millions in notional is extremely difficult and expensive to maintain. The market’s self-correcting mechanism — other traders fading the manipulation — is one of its most powerful features.
For traders, the manipulation discussion underscores the importance of tracking notional value and market history rather than reacting to single-day price moves.
What Changed After 2024
The 2024 election significantly expanded public awareness and institutional acceptance of prediction markets. Mainstream media began citing Polymarket and Kalshi odds alongside traditional polling averages. Academic institutions launched new research programs studying prediction market accuracy.
For platforms like Kalshi, the election was a regulatory and commercial inflection point — demonstrating real-world utility that supported their CFTC-regulated model. New platforms entered the space. Notional values on political markets in 2025 and 2026 have already surpassed 2024 highs.
For traders, this increased attention means both more competition — more informed participants — and more liquidity — deeper markets and tighter spreads.
What Every Trader Should Take From 2024
The 2024 US election reinforced three core principles of prediction market trading: trust sustained price signals over short-term volatility, watch notional value as a proxy for conviction, and don’t dismiss market consensus simply because it contradicts mainstream media narratives.
Political prediction markets remain some of the highest-liquidity, most information-rich markets available. Track them on Prediction Terminal alongside economic and sports markets to build a comprehensive view of where collective intelligence is pointing.
Explore live political prediction markets across Polymarket and Kalshi on Prediction Terminal.
Frequently Asked Questions
Did prediction markets accurately predict the 2024 US presidential election?
Yes. Both Polymarket and Kalshi showed the eventual winner at significantly higher probability than mainstream polls for weeks before the election, with the outcome aligning closely with what markets had been pricing.
Were prediction markets manipulated during the 2024 election?
Academic analysis found mixed evidence. Some large-wallet activity temporarily influenced prices, but liquid markets with high notional value self-corrected quickly as other traders faded the manipulation.
How did the 2024 election change prediction markets?
It significantly expanded public awareness and institutional acceptance. Mainstream media began citing prediction market odds alongside polls, notional values surged, and regulatory legitimacy — particularly for Kalshi — was strengthened.