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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