Ranked by the model's estimated probability of a positive 1-day outcome. This is model output, not a trading recommendation.
| # | Project | Class | Positive Probability | Predicted Return | Confidence | Uncertainty | 90% Return Range |
|---|---|---|---|---|---|---|---|
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AIC-V2 is an advanced, probabilistic market-intelligence engine that combines short-term market features, panel-level behaviour, regime information and calibrated machine-learning models to estimate the probability of negative, neutral and positive 1-day outcomes.
Positive Probability represents the model's estimated probability of a positive outcome over the forecast horizon. Predicted Return is the model's estimated return for that horizon.
Confidence reflects the concentration of the model's predicted outcome distribution. Uncertainty is represented by predictive entropy; higher entropy indicates greater uncertainty.
The 90% Return Range is a conformal prediction interval derived from historical calibration data. It represents a statistical uncertainty range rather than a guaranteed price target.
Market data and intelligence are refreshed on the engine's 10-minute operating cycle. Results can change as new market information becomes available. This is technical data intelligence for informational and educational purposes only. It is not trading advice.