This framework introduces a new method that analyzes stability in various time series, suggesting enhanced data insights.
The Stability Differential Framework (SDF) is introduced as a lightweight, domain-agnostic method that provides a statistical approximation of stability by transforming any discrete time series into dimensionless measures of differential behaviour, short-term momentum, and a cumulative stability field.
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Michael Patzer (2026) studied this question.
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