What Are Prediction Markets?
Prediction markets are exchanges where participants trade contracts based on the outcomes of future events. For elections, these contracts pay out $1 if a specific outcome occurs (like "Democrats win the Senate") and $0 if it doesn't.
The price of a contract reflects what traders collectively believe about the probability of that outcome. If a "Republican wins" contract trades at $0.65, the market is implying roughly a 65% chance of that happening.
Unlike traditional polls that sample voter intentions, prediction markets aggregate information from participants who have financial incentives to be accurate. This often makes them faster to incorporate new information and less susceptible to certain polling biases.
Understanding Implied Probability
Implied probability is the market's estimate of an outcome's likelihood, derived directly from the contract price. The conversion is straightforward:
Implied Probability = Contract Price × 100%
• Contract at $0.75 → 75% implied probability
• Contract at $0.42 → 42% implied probability
• Contract at $0.03 → 3% implied probability
Note that implied probabilities from different outcomes on the same market may not sum to exactly 100% due to transaction fees and the bid-ask spread. This small difference is sometimes called the "vig" or "overround."
How to Read Market Prices
On Election.Market, we display prices in cents (¢) for easy reading. Here's how to interpret what you see:
Market implies a 37% probability of Democratic victory.
Market implies a 63% probability of Republican victory.
The prices shown are typically the "last trade" or "mid price" (average of best bid and ask). For trading decisions, always check the actual orderbook to see available liquidity at each price level.
What Moves Election Odds
Unlike polls, which update weekly or monthly, prediction markets move in real-time as new information emerges. Key catalysts include:
- •New polling data – High-quality polls from reputable firms can shift odds, especially in competitive races.
- •Debates and public appearances – Strong or weak performances can move markets within minutes.
- •Endorsements – Major political endorsements, especially from popular figures, can shift probabilities.
- •Scandals or breaking news – Legal developments, leaked documents, or viral moments.
- •Candidate filings and withdrawals – Changes to who's actually running.
- •National environment shifts – Economic data, presidential approval, generic ballot movement.
Markets also move based on trading activity itself. Large "sharp money" bets from sophisticated traders can signal information that isn't yet reflected in polls or news.
Liquidity, Spread & Volume Explained
When evaluating prediction market data, three metrics matter beyond just the price:
Liquidity
How much money is available to trade at or near the current price. High liquidity means large trades won't move the price much. Low liquidity means prices can be volatile and less reliable as probability estimates.
Spread
The difference between the best bid (highest buy offer) and best ask (lowest sell offer). Tight spreads (1-2¢) indicate an efficient market. Wide spreads (5¢+) suggest uncertainty or low activity.
Volume
Total amount traded over a period (usually 24 hours). High volume suggests active interest and more reliable price discovery. Low volume markets may have stale prices.
As a rule of thumb: trust odds more in markets with high volume, high liquidity, and tight spreads. Be skeptical of dramatic price moves in thinly-traded markets.
Prediction Markets vs Polls
Prediction markets and polls measure different things:
| Aspect | Prediction Markets | Polls |
|---|---|---|
| What it measures | Probability of winning | Current voter preferences |
| Update frequency | Real-time (24/7) | Weekly or less |
| Incentive structure | Financial (money at stake) | None (honest response assumed) |
| Information sources | Aggregates everything (polls, news, analysis) | Direct voter sampling only |
| Best for | Probability estimates | Gauging public opinion |
Neither is inherently "better"—they're complementary. A candidate can be ahead in polls but have lower odds in prediction markets if traders expect the race to tighten. Conversely, markets sometimes lag polls if traders are slow to update.
Academic research suggests prediction markets have been slightly more accurate than poll aggregates in recent elections, but both have had notable misses. Use them together for the fullest picture.
Frequently Asked Questions
What does a 65¢ price mean in probability terms?
Why do Kalshi and Polymarket odds sometimes differ?
How often are the odds updated on Election.Market?
Are prediction markets more accurate than polls?
What causes sudden big moves in election odds?
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