
In prediction markets, potential payout depends on the outcome price and the number of shares held. It defines how much value a position could return if the forecast is correct.
Potential payout is known in advance. Participants can estimate returns before placing a trade based on current prices and payout rules. This value does not account for probability. A high potential payout often corresponds to a low-probability outcome, reflecting higher risk.
Potential payout also interacts with market structure. Binary or winner-take-all markets make payouts clear, while other designs may distribute payouts differently.
For analysts, potential payout provides context for trading behavior in prediction markets data. Large expected payouts can explain why traders take positions on unlikely outcomes.
Potential payout shapes incentives. It explains why traders pursue certain outcomes despite low probabilities and helps interpret risk-taking behavior.
Potential payout is calculated using the number of shares held and the payout rule for the outcome. In binary markets, winning shares typically pay a fixed amount per share. The current price determines how much was paid to acquire that position. This makes payout estimation straightforward.
Low-probability outcomes are cheaper to buy, so they offer larger upside if they occur. This creates a trade-off between likelihood and reward. Traders willing to accept higher risk may target these outcomes. Prediction markets data often shows this risk–reward balance clearly.
Potential payout affects position sizing and risk appetite. Some traders prefer smaller probabilities with large upside, while others favor safer outcomes with limited payout. Changes in potential payout can attract or deter participation. Analysts use this to interpret shifts in volume and price.
On Polymarket, an outcome priced at 0.10 offers a much larger potential payout than one priced at 0.80. Traders seeking high upside may choose the lower-probability outcome despite the risk.
FinFeedAPI’s Prediction Markets API provides prediction markets data needed to analyze potential payout. Analysts can combine outcome prices with position data and payout rules to estimate upside across markets. This supports incentive analysis, risk modeling, and behavior interpretation. The API enables consistent potential payout analysis across prediction markets.
