On the Substrate of Prediction

This work offers a modest vocabulary for describing predictive systems whose behaviour unfolds across several coupled strata, with particular attention to the layered execution environments in which contemporary market predictions are realised. Rather than treating models as isolated formal objects, the paper examines how identity continuity, drift, and cross‑strata coherence shape the conditions under which predictive entities maintain their characteristic behaviour as their execution passes through physical, microstructural, strategic, and supervisory layers. The account draws on earlier analyses of bounded perturbation, geometric divergence, and structural invariants, and suggests that stability in such environments depends less on the precision of individual forecasts than on the persistence of the entities that produce them. No design principles or operational mechanisms are proposed; the aim is simply to clarify the structural shape of continuity in layered settings and to indicate why certain familiar behaviours in modern markets exhibit patterns that are not always captured by prevailing terminology. Readers who wish to cite this work are encouraged to reference the DOI directly so that the provenance of the concepts and their lineage across versions remain clear. The present work remains under the author’s copyright. All rights are reserved. It is not placed in the public domain, nor should any part of it be reproduced, adapted, or incorporated into derivative materials without prior permission. Readers are, of course, welcome to cite the DOI in the usual scholarly manner, but no licence is implied beyond the ordinary act of reading. This notice is included simply to keep the provenance clear and the boundaries tidy.