🔮 Event Oracle

Self-learning predictions for Politics, Economics, Awards & More

Cached (18m ago)

Frequently Asked Questions

What is the Event Oracle?

The Event Oracle is a self-learning prediction system that analyzes prediction markets (Polymarket, Kalshi) and compares crowd-sourced odds with our algorithmic predictions. We use weighted factors specific to each category (politics, economics, awards, weather) to find potential edges.

How does the self-learning work?

Every prediction is logged with its factor breakdown. When markets resolve, we compare our Oracle's prediction to the actual outcome. Factors that consistently predict correctly get higher weights; factors that underperform get reduced weights. The system automatically adjusts every few hours.

What do the signals mean?

Strong Signal (7%+ difference): Oracle significantly disagrees with market - potential major mispricing. Opportunity (3-7%): Moderate disagreement worth watching. Aligned (<3%): Oracle agrees with market consensus.

Where does the data come from?

We pull real-time odds from Polymarket (decentralized prediction market) and Kalshi (CFTC-regulated exchange). Our Oracle adds analysis on top using category-specific factors like polls, economic data, critic reviews, and weather models.