What question did this study set out to answer?

This research aims to develop and validate a predictive model for identifying risk cycles in corporate and individual contexts.

July 5, 2026Open Access

Neptune-Haumea-Eris Predictive Theory for Individuals and Entities

Key Points

This research aims to develop and validate a predictive model for identifying risk cycles in corporate and individual contexts.
Introduced the Neptune-Haumea-Eris Radar Equation as a deterministic mathematical model.
Conducted algorithmic back-testing against data from 250,000 private companies.
Utilized a Python-driven approach for empirical validation.
Achieved a predictive accuracy rate of 79.24% in identifying critical risk windows.
Validated the model as a reliable diagnostic tool for structural and financial risks.
Confirmed utility in mapping structural equilibrium shifts for individuals and entities.

Abstract

This research introduces the “Neptune-Haumea-Eris Radar Equation” a novel deterministic mathematical model designed to predict critical structural and financial risk cycles in private corporate entities and individual life paths. By formalizing the triple-axis orbital resonance of the trans-Neptunian objects Haumea, Eris, and Neptune, the model establishes a framework for mapping structural equilibrium shifts. Empirical validation, conducted via a Python-driven algorithmic back-testing against 250,000 private companies, demonstrates a predictive accuracy rate of 79.24%. These results confirm the reliability of the model as a diagnostic tool for identifying systemic risk windows.

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