Quantitative research models potential recession risks in the U.S. financial market, suggesting high probability outcomes.
This paper constructs a global evolution model based on binary field theory, and takes the conjugated golden decay law as the intrinsic evolution rule of the system. Combined with field coupling effect and external field perturbation mechanism, quantitative research is conducted on financial market dynamics. Z-score standardization is adopted to process multi-dimensional indicators while retaining the relative proportional relationships of physical quantities. Numerical integration and Monte Carlo perturbation ensemble are applied to simulate the evolution of global field potential energy. Core constants of the model are derived from multi-body topology. Historical datasets from 2016 to 2025 are only used for calibrating field coupling coefficients and perturbation distribution parameters, as well as verifying the effectiveness of inherent rules, instead of fitting risk probabilities. The simulation results indicate that the comprehensive probability of phased recession risk in the U.S. financial market from August to September 2026 is 81%, with the core risk window ranging from August 22 to September 5, 2026. The calculation paradigm is consistent with the probability calculation of celestial body perturbation, and the research conclusions are theoretically verifiable.
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Zhongqiang Liu (2026) studied this question.
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