Guide
6 min read

Understanding AI Confidence Scores in Trading

Learn how to interpret confidence scores in AI trading signals and use them to size your positions appropriately.

What Are Confidence Scores?

A confidence score represents how certain our AI is about a prediction.

Interpreting Scores

80%+ (High Confidence)

  • Strong model agreement
  • Clear historical patterns
  • Significant detected edge
  • Consider larger position size

70-80% (Good Confidence)

  • Solid signal
  • Standard position sizing
  • Most of our surfaced signals

65-70% (Moderate Confidence)

  • Smaller edge detected
  • Consider smaller size
  • May require additional research

Below 65%

  • Not surfaced to users
  • Insufficient confidence
  • Too close to random chance

How Confidence Relates to Sizing

Kelly Criterion suggests sizing based on edge and confidence:

Higher confidence → Larger position (within limits)

Lower confidence → Smaller position

Important Notes

  • High confidence ≠ guaranteed win
  • Even 80% confidence means 20% chance of loss
  • Always use proper bankroll management
  • Diversify across multiple signals

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