Prediction Markets Portfolio
In prediction markets, participants often trade more than one event at the same time. A portfolio groups all these positions into a single view of exposure and risk.
Instead of evaluating each market separately, a portfolio shows how forecasts interact. Gains or losses in one event may offset or amplify outcomes in another.
Portfolios are shaped by diversification choices. Holding positions across unrelated events can reduce overall risk, while concentrated portfolios increase sensitivity to specific outcomes. Portfolio analysis also helps track capital allocation. It shows where confidence is strongest and which events carry the most weight in decision-making.
For analysts, portfolios provide a higher-level perspective on prediction markets data. They reveal cross-event exposure, correlation effects, and aggregate conviction that single-market views miss.
Why It Matters
Most real users do not trade one market at a time. Understanding portfolios helps interpret overall risk, confidence, and behavior in prediction markets.
What is a prediction markets portfolio?
In prediction markets, a portfolio is the set of all positions a participant holds across different events. It combines multiple forecasts into one exposure profile. This helps evaluate total risk and potential payoff. Portfolios reflect broader strategy, not isolated beliefs.
How do prediction markets portfolios affect prediction markets data analysis?
Portfolios introduce cross-event relationships into prediction markets data. Analysts must consider correlation and diversification effects when evaluating performance. Portfolio-level analysis reveals risk concentration and systemic exposure. It provides more realistic insight than single-event evaluation.
Why are prediction markets portfolios important for prediction markets APIs?
Prediction markets APIs provide the event-level data needed to construct portfolios programmatically. Analysts can aggregate positions, probabilities, and outcomes across events. This supports portfolio risk analysis, performance tracking, and correlation modeling. APIs make portfolio-level analysis scalable.
Real-World Example
On Polymarket, a user may hold positions on multiple political, economic, and sports events at the same time. Together, these positions form a prediction markets portfolio that reflects their overall outlook.
Prediction Markets Portfolio and FinFeedAPI
FinFeedAPI’s Prediction Markets API provides the prediction markets data required to analyze portfolios across events. Analysts can aggregate probability streams, resolution data, and exposure signals into portfolio views. This supports diversification analysis, risk modeling, and performance evaluation. The API enables consistent portfolio analysis across prediction markets.