In the 2024 US presidential election, prediction markets outperformed traditional polls by a significant margin. Platforms like Polymarket and Kalshi assigned Donald Trump a 62% win probability onIn the 2024 US presidential election, prediction markets outperformed traditional polls by a significant margin. Platforms like Polymarket and Kalshi assigned Donald Trump a 62% win probability on
With the 2026 Midterms Approaching, Looking Back at the 2024 Election Prediction Markets: Who Got It Right, and Who Got It Wrong?
In the 2024 US presidential election, prediction markets outperformed traditional polls by a significant margin. Platforms like Polymarket and Kalshi assigned Donald Trump a 62% win probability on election day, while major poll aggregators showed a statistical tie. Markets reached 95% certainty for a Trump victory around midnight on November 5, roughly 36 hours before final vote counts confirmed the result.
Key Takeaways
Markets lead polls by days, not hours. In 2024, prediction markets hit 95% certainty for a Trump win roughly 36 hours before major outlets called the race.
Big events reprice instantly. Biden's withdrawal moved Harris from 0% to 39% within hours. Polls took days to reflect the same shift.
Liquidity determines accuracy. The $2.4B presidential contract was highly accurate. Lower-volume contracts like the popular vote missed by 15 to 20 percentage points.
Swing state contracts outperformed. Pennsylvania, Georgia, and Arizona were all called correctly. Focused, binary questions with high volume price better.
Late entry at 70%+ means thin upside. A YES share at 70 cents returns only 30 cents on a correct call. Know your risk-reward before entering high-probability contracts.
What Were the 2024 Election Prediction Markets?
For the first time in a major US election cycle, prediction markets operated at institutional scale. Polymarket, a decentralized platform, recorded approximately $3.3 billion in total election-related trading volume, with around $2.4 billion on the presidential race alone. Kalshi, the CFTC-regulated exchange, handled roughly $1 billion in election contracts. PredictIt, the longer-standing academic platform, also ran active markets throughout the cycle.
Each platform worked the same way. Traders bought YES or NO shares on specific outcomes. The share price at any moment reflected the market's collective implied probability. A Trump share trading at $0.62 meant the market judged his chances at 62%. To understand the mechanics behind these prices, see how to read prediction market odds and implied probability.
How the Odds Moved: January to November 2024
The presidential race played out across a series of inflection points, each one visible in the odds before it appeared in the news cycle.
Date | Trump odds (Polymarket) | Harris/Biden odds | What moved it |
January 2024 | ~42% | ~55% (Biden) | Early primary phase, Trump post-primary momentum building |
July 13 | Before: ~65% / After: ~72% | Before: ~33% / After: ~26% | Assassination attempt. 7-point jump in hours |
July 21 | 60% (immediate drop) | Harris enters at ~40% | Biden withdraws. Harris surges from 0% to 39% within the day |
September 10 | Before: 52% / After: 49% | Before: 46% / After: 50% | Presidential debate. Harris briefly edged ahead |
October 29 | 66% | 34% | Steady Trump climb through October; market conviction solidifying |
November 5 (election day) | 62% | 38% | Final snapshot before polls closed |
November 6 | Settled YES | Settled NO | AP called the race around 3AM ET. Markets had already reached 95% |
The July 21 entry of Kamala Harris is worth examining closely. Within hours of Biden's withdrawal announcement, Harris moved from 0% to 39% on Polymarket. Trump dropped from 72% to 60%. This speed of repricing would have been impossible in a traditional polling cycle, where field surveys take days to reflect a change of this magnitude.
Where Prediction Markets Got It Right
The clearest evidence of market accuracy came from the swing state contracts. These were the races that determined the Electoral College outcome, and prediction markets called all of them correctly.
State | Final Polymarket odds (Trump) | Actual result | Accurate |
Pennsylvania | 65% | Trump win | Yes |
Georgia | 69% | Trump win | Yes |
Arizona | 77% | Trump win | Yes |
On the Senate, markets priced a roughly 65% probability of a Republican majority. The final result was a 53-47 Republican Senate, within the range the markets had implied throughout October.
The most striking data point is the timeline. Markets exceeded 70% conviction for a Trump win by October 31, five days before election day. The RealClearPolitics poll average at that moment showed Trump leading by approximately 1.4 percentage points, a margin well within the polling error range. As an arXiv analysis of the 2024 cycle found, prediction markets demonstrated roughly 10 percentage points greater accuracy than traditional polling models when evaluated against final results.
This performance supports what research on collective forecasting has documented for decades. When participants have real money at stake, they process available information more carefully than survey respondents. The result is a probability estimate that tends to lead the news cycle rather than follow it.
For a broader analysis of when and why prediction markets outperform other forecasting methods, see are prediction markets accurate? Betting odds vs. traditional polls.
Where Prediction Markets Missed
The accuracy record was not perfect. One notable mispricing involved the popular vote. In the final days before election day, Polymarket's popular vote contract favored Harris at approximately 55%. Trump ultimately won the popular vote as well, making this roughly a 15 to 20 percentage point error on that specific contract.
The debate "winner" markets also showed mispricing of around 10 percentage points on some contracts, according to a subsequent academic review of the cycle.
These errors point to a consistent pattern in prediction market limitations. When a contract depends on a question that polls cannot directly measure, and where liquidity is lower than the headline race, pricing accuracy tends to decline. The popular vote is a case where polling data provides less reliable signal than the Electoral College outcome, and the market reflected that ambiguity imperfectly.
The broader lesson is that prediction market accuracy scales with liquidity. The $2.4 billion presidential contract was more accurate than the lower-volume debate and popular vote markets. This is a practical consideration for traders: contracts with thin volume carry wider bid-ask spreads and less reliable implied probabilities.
What This Teaches Traders About Election Event Contracts
Four patterns from the 2024 cycle are directly useful for anyone trading election event contracts.
Markets lead, polls follow. The 36-hour gap between Polymarket's 95% certainty and the AP's official call illustrates the core value of prediction markets as information aggregators. Traders who understood how to read implied probabilities had a clearer picture of the outcome than anyone relying solely on polling averages.
Inflection points reprice fast. The Biden withdrawal moved Harris from 0% to 39% in hours. The assassination attempt moved Trump 7 points in a single session. By the time these events appeared in polling data, the market had already absorbed them. Traders who understand which events create binary outcomes can position ahead of these moves.
State-level contracts are more reliable than aggregate contracts. The swing state markets outperformed the popular vote market in 2024. This reflects liquidity concentration. When volume is focused on a specific, well-defined question with a clear binary resolution, the market tends to price it accurately.
High-probability contracts offer limited upside. By October 31, Trump was trading at 66% to 72% across platforms. A YES buyer at 70 cents stood to make 30 cents on a correct outcome. At 90%+, the return shrinks further. Late-stage entry into high-conviction contracts requires careful thinking about risk-reward. The same principles are covered in prediction market trading strategies for beginners.
Apply These Lessons on MEXC Prediction Market
MEXC Prediction Market offers event contracts on political and macro milestones, including US election cycles and cross-asset performance comparisons. Zero trading fees during the public beta, instant centralized settlement, and exchange-level liquidity mean traders can act on these patterns without the friction of on-chain platforms.
New to prediction markets? Start with what is a prediction market or work through how to trade on MEXC Prediction Market step by step.
MEXC requires KYC verification before trading. Complete identity verification in the app or on the web platform before depositing funds or placing orders. MEXC does not provide services to residents of the United States. Service availability varies by country. Confirm that MEXC operates in your jurisdiction before creating an account.
Market Opportunity
4 Price(4)
$0.00876
$0.00876$0.00876
USD
4 (4) Live Price Chart
Popular Articles
View More
Bitcoin Support Resistance Levels: How to Identify and Trade Key BTC Price Zones
Whether you're a day trader watching the 15-minute chart or a long-term holder tracking weekly structure, understanding Bitcoin support and resistance levels is one of the most practical skills you
Who Is Heather Morgan? The Bitcoin Heist That Shocked the World
Key Takeaways In August 2016, Ilya Lichtenstein hacked the Bitfinex exchange and transferred 119,754 Bitcoin into wallets under his control, according to U.S. Department of Justice court documents.
VanEck Bitcoin ETF (HODL): Ticker, Expense Ratio, and How It Works
Key Takeaways The VanEck Bitcoin ETF trades under the ticker HODL on the Cboe BZX Exchange and launched on January 11, 2024. HODL is a spot Bitcoin ETF — it holds real Bitcoin in cold storage through
Hot Crypto Updates
View More
Mastercard Expands Stablecoin Settlement, Moving Toward a 24 7 Economy
Mastercard is advancing its strategy to integrate blockchain technology into the global payments ecosystem by expanding its stablecoin settlement capabilities. According to the company's latest
AI-Powered Payments Surpass 100 Million Transactions on Base: Are Stablecoins Becoming the Infrastructure of the AI Economy?
Coinbase's x402 payment protocol has surpassed 100 million transactions on the Base network just nine months after its launch, according to data from Chainalysis. The milestone highlights the rapid
Bitcoin Crashes Below $66K: $1.86B Liquidated — Perfect Storm or Buying Signal?
Bitcoin crashed to $65,000–$66,000 in 24 hours, triggering over $1.86B in liquidations. Strategy's first BTC sale in 4 years, record ETF outflows, US-Iran tensions, and an AI stock rotation all
Trending News
View More
Is Fluence Energy (FLNC) Stock Still Worth Buying After a 385% Year?
TLDR Fluence Energy stock opened at $22.91, up 69% over the past 30 days and 385.4% over the past year Analysts have a consensus “Hold” rating from 21 firms, with
The Week Ahead: Markets Face Rate Hike Fears, SpaceX IPO, and Key Inflation Data
TLDR The S&P 500 fell 2.6% last week and the Nasdaq dropped 4.7% as markets priced in a rate hike May CPI data drops Wednesday, with headline inflation expected
Related Articles
View More
Larry Fink and Bitcoin: From "Money Laundering Index" to $700K BTC Forecast
Few opinion reversals in finance carry as much weight as Larry Fink's journey with Bitcoin.The BlackRock CEO went from calling BTC a criminal's tool to running the world's largest Bitcoin fund — and t
Bitcoin Malaysia: BTC Price in Ringgit, Legal Status, and How to Get Started
Malaysia is one of Southeast Asia's most crypto-curious markets, and Bitcoin sits at the centre of that conversation.Whether you're searching for the latest Bitcoin price in Malaysia, wondering if it'
Bitcoin MVRV Ratio and Z-Score: Definition, Formula, and How to Read It
If you want to understand whether Bitcoin is genuinely overvalued or just expensive, price alone won't give you the full picture.The Bitcoin MVRV Z-Score is an on-chain metric that compares what the m
