Polycool: Prediction Markets
Polycool: Prediction Markets has 13 ratings, averaging 4.2 stars, #14,139 of 33,443 in Finance.
Description
Polycool – Prediction Market Analytics & Social Forecasting
Polycool is a social analytics platform for prediction markets — information markets where forecasters analyze real-world events. Whether you're researching political trends, studying crowd sentiment, or learning from proven forecasters, Polycool helps you discover insights and follow the sharpest analytical minds.
WHAT IS A PREDICTION MARKET?
Prediction markets are financial instruments widely recognized as legitimate forecasting tools. Users explore contracts based on event outcomes, creating crowd-sourced probability estimates used by researchers, journalists, and analysts worldwide. Markets are not created by Polycool.
DISCOVERY & ANALYTICS
Browse prediction markets across politics, economics, sports, technology, and culture
Access real-time market data and price movements
Analyze historical trends and probability shifts
Research crowd forecasts on thousands of real-world questions
SOCIAL FORECASTING
Follow experienced forecasters and top market analysts
Track their positions and historical accuracy in real time
Build your own track record and grow your following
Compare performance on community leaderboards
SMART ALERTS
Get notified when followed forecasters take new positions
Set custom alerts on markets and events you care about
Stay informed on major shifts in crowd sentiment
Never miss key movements in your watched markets
PORTFOLIO TRACKING
Monitor your positions in one place
Visualize performance with detailed analytics
Track your forecasting accuracy over time
Compare your predictions against the crowd
AGGREGATED MARKET DATA
Markets displayed in Polycool are aggregated from decentralized prediction protocols. Polycool does not create markets, set probabilities, or operate as a market maker.
Join a community of serious forecasters, researchers, and analysts using Polycool to better understand the events shaping our world.
Growth change in ratings
| Per | Growth | Growth % | Actual change | Measured over |
|---|---|---|---|---|
| day | Not enough history yet | |||
| week | 0 | — | 0 | 7.5 days |
| month | Not enough history yet | |||
| year | Not enough history yet | |||
How these figures are measured
Change in ratings, scaled to each window from the real gap between crawls. A window needs a full period of history before it reports anything.
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