Real-Time Odds
Real-time odds show the current, live probability of an outcome according to the prediction market. As traders react to new information—such as breaking news, official announcements, or shifting sentiment—the odds adjust immediately. This makes real-time odds one of the clearest indicators of what the crowd believes right now.
Platforms like Polymarket, Kalshi, Myriad, and Manifold generate real-time odds as part of their active trading environment. Every trade, orderbook update, or AMM interaction contributes to the live probability. Over time, these real-time odds form a detailed layer of prediction markets data that reveals how expectations evolve, how quickly markets process news, and where uncertainty remains.
Real-time odds are used by researchers, forecasters, journalists, and analysts to track fast-moving events and understand immediate crowd reactions.
Why It Matters
Real-time odds give an up-to-the-second view of market expectations. They turn prediction markets into powerful live forecasting tools and create high-quality prediction markets data for analysis.
Why are real-time odds useful in prediction markets?
They show exactly how the market is interpreting new information at any moment. When news breaks, real-time odds react almost instantly, making them a sensitive barometer of sentiment and belief. This makes prediction markets data far more responsive and insightful than traditional forecasts or periodic reports.
How do real-time odds improve forecasting workflows?
Real-time odds allow dashboards, alert systems, and analytics tools to display live market expectations. Users can monitor sudden jumps, detect information shocks, and compare sentiment across events. This transforms prediction markets data into a continuous forecasting signal suitable for high-frequency analysis and fast decision-making.
What insights can analysts gain from real-time odds?
Analysts can observe how fast markets absorb new information, whether traders overreact or underreact, and how volatility shifts during key moments. Real-time odds reveal periods of uncertainty, consensus, and disagreement—making prediction markets data richer and easier to interpret across contexts.
Real-World Example
A newsroom tracks real-time odds from Polymarket during a major political hearing. When an unexpected statement is made, the odds shift immediately, signaling a rapid change in market expectations and prompting analysts to investigate the cause.
Real-Time Odds and FinFeedAPI
Real-time odds depend on continuous, high-frequency forecast updates. FinFeed's Prediction Markets API provides structured prediction markets data—including live probabilities, price movements, and liquidity metrics—allowing developers to build real-time dashboards, alert systems, and forecasting applications.