Predictive Performance Dashboard
In prediction markets, forecasts generate large amounts of data before events resolve. A predictive performance dashboard organizes this prediction markets data into clear performance indicators.
The dashboard typically shows accuracy metrics, calibration trends, and forecast stability. It helps users see which markets or periods produced reliable signals and which did not.
Performance dashboards often update as new events resolve. This allows continuous monitoring rather than one-time evaluation.
They are especially useful when comparing many markets at once. Patterns that are hard to detect in raw data become visible through aggregated views.
For analysts, a predictive performance dashboard turns complex prediction markets data into actionable insight. It supports evaluation, learning, and ongoing improvement of forecasting methods.
Why It Matters
Forecast quality varies across events and time. A predictive performance dashboard helps users understand when prediction markets can be trusted and when caution is needed.
What is a predictive performance dashboard in prediction markets?
In prediction markets, a predictive performance dashboard is a system that visualizes forecast outcomes and accuracy. It compares predicted probabilities with real results. This makes performance transparent and measurable. It supports informed interpretation of market forecasts.
How does a predictive performance dashboard use prediction markets data?
The dashboard consumes historical forecasts, probability streams, and resolution data. It aggregates these inputs into metrics like accuracy, calibration, and persistence. This helps explain how forecasts behaved, not just whether they were right. The result is clearer performance insight.
Why are predictive performance dashboards important for prediction markets APIs?
Prediction markets APIs provide the structured data needed to power performance dashboards. APIs deliver probabilities, timestamps, and resolution outcomes in consistent formats. This enables automated and up-to-date performance tracking. Dashboards rely on APIs for scalability and reliability.
Real-World Example
On Polymarket, an analyst may use a predictive performance dashboard to review how election markets performed across multiple cycles. The dashboard highlights which forecasts converged early and which remained unstable.
Predictive Performance Dashboard and FinFeedAPI
FinFeedAPI’s Prediction Markets API provides prediction markets data suitable for building predictive performance dashboards. Analysts can combine historical forecasts, resolution data, and confidence signals into performance views. This supports accuracy tracking, calibration analysis, and forecasting evaluation. The API enables consistent dashboard-based analysis across prediction markets.