
In prediction markets, risk level captures how likely a forecast is to fail or change significantly. It is influenced by uncertainty, market structure, and participant behavior.
High risk levels are common in early-stage, low-liquidity, or highly volatile markets. In these cases, prices can move sharply and forecasts may reverse quickly.
Low risk levels appear when markets are mature, liquid, and stable. Broad participation and consistent pricing reduce the chance of large unexpected shifts.
Risk level is not the same as probability. A forecast can show a high probability while still carrying high risk if support is weak or conditions are unstable.
For analysts, risk level provides essential context in prediction markets data. It helps determine how cautiously a forecast should be interpreted or weighted.
Risk level helps users understand how much trust to place in a forecast. It prevents overconfidence in probabilities that appear strong but are fragile.
Risk level is influenced by liquidity depth, number of participants, price stability, and event clarity. Markets with thin trading or ambiguous resolution rules tend to be riskier. Behavioral effects like hype or panic also increase risk. These factors are visible in prediction markets data.
Probability estimates how likely an outcome is to occur. Risk level describes how uncertain or unstable that estimate is. A high-probability forecast can still carry high risk. Both dimensions are needed for proper interpretation.
Analysts assess risk level using volatility, forecast range, confidence signals, and participation metrics. Wide ranges and unstable prices indicate higher risk. Combining multiple indicators gives a clearer picture than probability alone. This supports risk-aware analysis.
On Polymarket, a new market predicting a distant political event may show a probability of 0.70 but high volatility and low volume. Despite the high probability, the risk level remains high.
FinFeedAPI’s Prediction Markets API provides prediction markets data needed to assess risk level. Analysts can evaluate probability changes, liquidity signals, participation, and historical behavior to estimate forecast risk. This supports risk-aware modeling, monitoring, and decision-making. The API enables consistent risk level analysis across prediction markets.
