Zealous is designed to surface meaningful patterns in market data, but its outputs should still be interpreted in context.
Its models are built to identify behavior associated with artificial volume or other forms of market distortion, not to reduce interpretation to a single signal or claim certainty where market behavior may be ambiguous.